CN114973584A - Mountain fire warning method and device, computer equipment and storage medium - Google Patents

Abstract

The embodiment of the invention discloses a mountain fire warning method, a mountain fire warning device, mountain fire warning equipment and a storage medium, wherein the method comprises the following steps: acquiring environmental data of a target mountain fire detection scene in real time; performing forest fire identification by using the satellite remote sensing data, the monitoring video data and a preset forest fire identification algorithm, and determining a target identification result of a target forest fire detection scene, wherein the target identification result comprises a corresponding relation between the forest fire identification result and the acquisition equipment; and when the mountain fire identification result comprises the existence of the mountain fire phenomenon, controlling target acquisition equipment except acquisition equipment corresponding to the mountain fire identification result to perform linked mountain fire identification according to a preset linked response rule, determining a linked identification result of the target mountain fire detection scene, and outputting alarm information of the mountain fire phenomenon according to the mountain fire identification result and the linked identification result. By the method, mountain fire identification of linkage response among the acquisition devices is realized, and the condition that mountain fire is missed or mistakenly detected by referring to environmental data acquired by single equipment is reduced.

Description

Translated fromChinese

山火告警方法及装置、计算机设备及存储介质Wildfire warning method and device, computer equipment and storage medium

技术领域technical field

本发明涉及电网输电线路山火隐患识别技术领域，尤其涉及一种山火告警方法及装置、计算机设备及存储介质。The invention relates to the technical field of identification of hidden dangers of mountain fires in power grid transmission lines, in particular to a method and device for alarming a mountain fire, computer equipment and a storage medium.

背景技术Background technique

输电线路具有覆盖区域广、穿越区域地形复杂且自然环境恶劣，极易引发森林火灾，这给输电线路安全稳定运行带来了巨大的安全隐患。近年山火事件层出不穷，给输电线路的安全运行带来了极大的压力。Transmission lines have a wide coverage area, complex terrain and harsh natural environment, which can easily lead to forest fires, which brings huge security risks to the safe and stable operation of transmission lines. In recent years, wildfire incidents have emerged one after another, which has brought great pressure to the safe operation of transmission lines.

现阶段基于卫星或基于图像视频识别山火的技术得到广泛推广，但采用单一的方式识别山火容易造成漏报或者误报，尚不能满足电网输电线路周边走廊山火风险的高效准确识别。At present, the technology of identifying wildfires based on satellites or images and videos has been widely promoted, but using a single method to identify wildfires is likely to cause false negatives or false positives, and it is not yet sufficient to efficiently and accurately identify wildfire risks in corridors around power grid transmission lines.

发明内容SUMMARY OF THE INVENTION

本发明的主要目的在于提供一种山火告警方法及装置、计算机设备及存储介质，可以解决现有技术中的不能对山火进行高效准确识别的问题。The main purpose of the present invention is to provide a mountain fire warning method and device, computer equipment and storage medium, which can solve the problem that the mountain fire cannot be efficiently and accurately identified in the prior art.

为实现上述目的，本发明第一方面提供一种山火告警方法，所述方法包括：To achieve the above object, a first aspect of the present invention provides a method for warning a mountain fire, the method comprising:

实时获取采集设备采集的目标山火检测场景的环境数据，所述采集设备至少包括卫星设备及视频监控设备，所述卫星设备采集的环境数据为卫星遥感数据，所述视频监控设备采集的环境数据为监控视频数据；Real-time acquisition of the environmental data of the target mountain fire detection scene collected by the collection equipment, the collection equipment including at least satellite equipment and video monitoring equipment, the environmental data collected by the satellite equipment is satellite remote sensing data, and the environmental data collected by the video monitoring equipment for monitoring video data;

利用所述卫星遥感数据及预设的第一山火识别算法进行山火识别，以及利用所述监控视频数据及预设的第二山火识别算法进行山火识别，确定所述目标山火检测场景的目标识别结果，所述目标识别结果包括山火识别结果与采集设备的对应关系；Using the satellite remote sensing data and the preset first wildfire identification algorithm to perform wildfire identification, and using the monitoring video data and the preset second wildfire identification algorithm to perform wildfire identification, determine the target wildfire detection The target recognition result of the scene, the target recognition result includes the corresponding relationship between the wildfire recognition result and the collection device;

当所述山火识别结果包括存在山火现象，则根据预设的联动响应规则控制目标采集设备进行联动的山火识别，确定所述目标山火检测场景的联动识别结果，所述目标采集设备为所述山火识别结果对应的采集设备以外的另一采集设备，所述预设的联动响应规则包括当基于任一采集设备采集的环境数据识别出所述目标山火检测场景存在山火现象时，控制另一采集设备进行联动响应，以实现进一步识别所述目标山火检测场景是否存在山火现象；When the wildfire identification result includes the existence of a wildfire phenomenon, the target acquisition device is controlled to perform linked wildfire identification according to the preset linkage response rule, and the linkage identification result of the target wildfire detection scene is determined, and the target acquisition device It is another collection device other than the collection device corresponding to the mountain fire identification result, and the preset linkage response rule includes when the target mountain fire detection scene is identified based on the environmental data collected by any collection device. There is a mountain fire phenomenon When , control another acquisition device to perform a linkage response, so as to further identify whether there is a mountain fire phenomenon in the target mountain fire detection scene;

根据所述山火识别结果及联动识别结果，输出所述山火现象的告警信息。According to the mountain fire identification result and the linkage identification result, the alarm information of the mountain fire phenomenon is output.

在一种可行实现方式中，所述山火识别结果对应的采集设备为卫星设备，则所述目标采集设备为视频监控设备，所述根据预设的联动响应规则控制目标采集设备进行联动的山火识别，确定所述目标山火检测场景的联动识别结果，包括：In a feasible implementation manner, the collection device corresponding to the mountain fire identification result is a satellite device, and the target collection device is a video surveillance device, and the target collection device is controlled to perform linkage according to a preset linkage response rule. Fire identification, to determine the linkage identification result of the target wildfire detection scene, including:

根据存在山火现象的所述山火识别结果的卫星遥感数据，确定存在山火现象的目标位置信息，所述目标位置信息至少包括经纬度数据；According to the satellite remote sensing data of the mountain fire identification result in which there is a mountain fire phenomenon, determine the target location information of the mountain fire phenomenon, and the target location information at least includes latitude and longitude data;

利用所述经纬度数据、预设范围阈值以及视频监控设备的集群设置信息，确定目标视频监控设备，所述目标视频监控设备为安装在所述经纬度数据以及预设范围阈值构成的目标区域内的视频监控设备，所述集群设置信息包括视频监控设备与安装位置的对应关系；Using the latitude and longitude data, the preset range threshold and the cluster setting information of the video surveillance device, determine the target video surveillance device, where the target video surveillance device is the video installed in the target area formed by the latitude and longitude data and the preset range threshold Monitoring equipment, the cluster setting information includes the corresponding relationship between the video monitoring equipment and the installation location;

基于所述目标视频监控设备采集到的目标监控数据进行山火识别，确定所述目标山火检测场景的联动识别结果，所述目标监控数据为基于所述卫星遥感数据，确定存在山火现象的山火识别结果之后，所述目标视频监控设备采集到的视频监控数据。Perform wildfire identification based on the target monitoring data collected by the target video monitoring equipment, and determine the linkage identification result of the target wildfire detection scene. After the wildfire identification result, the video surveillance data collected by the target video surveillance device.

在一种可行实现方式中，所述山火识别结果对应的采集设备为视频监控设备，则所述目标采集设备为卫星设备，所述根据预设的联动响应规则控制目标采集设备进行联动的山火识别，确定所述目标山火检测场景的联动识别结果，包括：In a feasible implementation manner, the collection device corresponding to the mountain fire identification result is a video surveillance device, the target collection device is a satellite device, and the target collection device is controlled to perform linkage according to a preset linkage response rule. Fire identification, to determine the linkage identification result of the target wildfire detection scene, including:

根据所述视频监控设备的集群设置信息，以及存在山火现象的山火识别结果对应的第一视频监控设备，确定存在山火现象的目标位置区域，所述目标位置区域包括所述第一视频监控设备的安装位置；According to the cluster setting information of the video surveillance device and the first video surveillance device corresponding to the identification result of the mountain fire phenomenon, determine the target location area where the mountain fire phenomenon exists, and the target location area includes the first video The installation location of monitoring equipment;

利用所述卫星设备采集所述目标位置区域的遥感数据，所述遥感数据包括像元亮温值，所述像元亮温值用于反映所述目标位置区域的温度状态；Using the satellite device to collect remote sensing data of the target location area, the remote sensing data includes pixel brightness temperature values, and the pixel brightness temperature values are used to reflect the temperature state of the target location area;

根据所述像元亮温值以及预设的像元亮温阈值进行山火识别，确定所述目标山火检测场景的联动识别结果。The mountain fire is identified according to the pixel brightness temperature value and the preset pixel brightness temperature threshold, and the linkage identification result of the target mountain fire detection scene is determined.

在一种可行实现方式中，所述根据所述山火识别结果及联动识别结果，输出所述山火现象的告警信息，包括：In a feasible implementation manner, the outputting alarm information of the mountain fire phenomenon according to the mountain fire identification result and the linkage identification result, including:

当所述山火识别结果及所述联动识别结果均包括存在山火现象，则输出所述山火现象的第一告警信息，所述第一告警信息包括山火风险提示为第一级风险；When both the wildfire identification result and the linkage identification result include the existence of a wildfire phenomenon, output the first warning information of the wildfire phenomenon, where the first warning information includes a wildfire risk indicating that it is a first-level risk;

当所述山火识别结果包括存在山火现象，而所述联动识别结果包括未识别山火现象的第一结果，则输出所述山火现象的第二告警信息，所述第二告警信息包括提示山火风险为第二级风险，所述第一结果包括未采集到所述目标监控数据；When the wildfire identification result includes the existence of the wildfire phenomenon, and the linkage identification result includes the first result that the wildfire phenomenon is not identified, the second warning information of the wildfire phenomenon is output, and the second warning information includes It is indicated that the mountain fire risk is a second-level risk, and the first result includes that the target monitoring data is not collected;

当所述山火识别结果包括存在山火现象，而所述联动识别结果包括未识别山火现象的第二结果，则输出所述山火现象的第三告警信息，所述第三告警信息包括提示山火风险为第三级风险，所述第二结果为采集到所述目标监控数据，但未识别出山火现象；When the wildfire identification result includes the existence of the wildfire phenomenon, and the linkage identification result includes the second result that the wildfire phenomenon is not identified, the third warning information of the wildfire phenomenon is output, and the third warning information includes It is indicated that the risk of wildfire is a third-level risk, and the second result is that the target monitoring data is collected, but no wildfire phenomenon has been identified;

其中，所述第一级风险大于第二级风险，所述第二级风险大于第三级风险。Wherein, the first-level risk is greater than the second-level risk, and the second-level risk is greater than the third-level risk.

在一种可行实现方式中，所述根据所述山火识别结果及联动识别结果，输出所述山火现象的告警信息，包括：In a feasible implementation manner, the outputting alarm information of the mountain fire phenomenon according to the mountain fire identification result and the linkage identification result, including:

当所述山火识别结果及所述联动识别结果均包括存在山火现象，则输出所述山火现象的第四告警信息，所述第四告警信息包括提示山火风险为第一级风险；When both the wildfire identification result and the linkage identification result include the existence of a wildfire phenomenon, output fourth warning information of the wildfire phenomenon, where the fourth warning information includes a warning that the wildfire risk is a first-level risk;

当所述山火识别结果包括存在山火现象，而所述联动识别结果包括未识别山火现象的第三结果，则输出所述山火现象的第五告警信息，所述第五告警信息包括提示山火风险为第二级风险，所述第三结果为云层或山体遮挡所述卫星设备；When the mountain fire identification result includes the existence of the mountain fire phenomenon, and the linkage identification result includes the third result that the mountain fire phenomenon is not identified, the fifth alarm information of the mountain fire phenomenon is output, and the fifth alarm information includes It is indicated that the risk of wildfire is a second-level risk, and the third result is that clouds or mountains block the satellite equipment;

当所述山火识别结果包括存在山火现象，及所述联动识别结果包括未识别山火现象的第四结果，则输出所述山火现象的第四告警信息，所述第四告警信息包括提示运维人员核实图像视频。When the wildfire identification result includes the existence of the wildfire phenomenon, and the linkage identification result includes the fourth result of not identifying the wildfire phenomenon, the fourth alarm information of the wildfire phenomenon is output, and the fourth alarm information includes Prompt the operation and maintenance personnel to verify the image and video.

在一种可行实现方式中，所述当所述目标识别结果为存在山火现象，及所述联动识别结果包括未识别山火现象的第三结果，之后还包括：In a feasible implementation manner, when the target identification result is that there is a mountain fire phenomenon, and the linkage identification result includes a third result of not identifying the mountain fire phenomenon, the following further includes:

利用当前像元亮温值更新所述预设的像元亮温阈值；Update the preset pixel brightness temperature threshold using the current pixel brightness temperature value;

利用更新后的像元亮温阈值以及当前像元亮温值，确定所述联动识别结果；Using the updated pixel brightness temperature threshold and the current pixel brightness temperature value to determine the linkage identification result;

若所述联动识别结果包括识别到山火现象，则输出所述山火现象的第五告警信息，并更新所述第一山火识别算法的山火阈值库，所述第五告警信息包括提示山火风险为第二级风险；If the linkage identification result includes the identification of a wildfire phenomenon, output fifth alarm information of the wildfire phenomenon, and update the wildfire threshold library of the first wildfire identification algorithm, where the fifth alarm information includes a prompt The wildfire risk is a second-level risk;

若所述联动识别结果包括未识别到山火现象的第四结果，则继续输出所述第四告警信息。If the linkage identification result includes a fourth result in which the mountain fire phenomenon is not identified, the fourth alarm information is continued to be output.

在一种可行实现方式中，所述实时获取采集设备采集的目标山火检测场景的环境数据，之前还包括：In a feasible implementation manner, the real-time acquisition of the environmental data of the target mountain fire detection scene collected by the collection device further includes:

采集所述目标山火检测场景的历史火情的第一样本数据，所述第一样本数据至少包括历史火情的历史火点信息及历史卫星遥感数据；collecting the first sample data of the historical fire situation of the target mountain fire detection scene, and the first sample data at least includes historical fire point information of the historical fire situation and historical satellite remote sensing data;

基于所述历史火点信息以及历史卫星遥感数据进行山火亮温分析，确定初始的山火阈值库；Based on the historical fire point information and historical satellite remote sensing data, the mountain fire brightness temperature analysis is performed to determine the initial mountain fire threshold library;

根据所述初始的山火阈值库构建第一山火识别算法；constructing a first wildfire identification algorithm according to the initial wildfire threshold library;

采集所述目标山火检测场景的历史火情的第二样本数据，所述第二样本数据至少包括历史山火图像数据；collecting second sample data of historical fire conditions of the target wildfire detection scene, where the second sample data at least includes historical wildfire image data;

基于所述历史山火图像数据以及深度学习模型进行训练，构建第二山火识别算法。Based on the historical wildfire image data and the deep learning model, a second wildfire identification algorithm is constructed.

为实现上述目的，本发明第二方面提供一种山火告警装置，所述装置包括：In order to achieve the above object, a second aspect of the present invention provides a mountain fire warning device, the device comprising:

数据获取模块：用于实时获取采集设备采集的目标山火检测场景的环境数据，所述采集设备至少包括卫星设备及视频监控设备，所述卫星设备采集的环境数据为卫星遥感数据，所述视频监控设备采集的环境数据为监控视频数据；Data acquisition module: used to acquire in real time the environmental data of the target mountain fire detection scene collected by the acquisition equipment, the acquisition equipment at least includes satellite equipment and video monitoring equipment, the environmental data collected by the satellite equipment is satellite remote sensing data, and the video The environmental data collected by the monitoring equipment is the monitoring video data;

山火识别模块：用于利用所述卫星遥感数据及预设的第一山火识别算法进行山火识别，以及利用所述监控视频数据及预设的第二山火识别算法进行山火识别，确定所述目标山火检测场景的目标识别结果，所述目标识别结果包括山火识别结果与采集设备的对应关系；Wildfire identification module: used for identifying wildfires using the satellite remote sensing data and the preset first wildfire identification algorithm, and using the monitoring video data and the preset second wildfire identification algorithm to identify wildfires, Determine the target recognition result of the target wildfire detection scene, and the target recognition result includes the corresponding relationship between the wildfire recognition result and the collection device;

联动识别模块：用于当所述山火识别结果包括存在山火现象，则根据预设的联动响应规则控制目标采集设备进行联动的山火识别，确定所述目标山火检测场景的联动识别结果，所述目标采集设备为所述山火识别结果对应的采集设备以外的另一采集设备，所述预设的联动响应规则包括当基于任一采集设备采集的环境数据识别出所述目标山火检测场景存在山火现象时，控制另一采集设备进行联动响应，以实现进一步识别所述目标山火检测场景是否存在山火现象；Linkage identification module: used to control the target acquisition device to perform linked wildfire identification according to the preset linkage response rule when the wildfire identification result includes the existence of a wildfire phenomenon, and determine the linkage identification result of the target wildfire detection scene , the target collection device is another collection device other than the collection device corresponding to the mountain fire identification result, and the preset linkage response rule includes when the target mountain fire is identified based on the environmental data collected by any collection device When there is a mountain fire phenomenon in the detection scene, control another acquisition device to perform a linkage response, so as to further identify whether there is a mountain fire phenomenon in the target mountain fire detection scene;

告警输出模块：用于根据所述山火识别结果及联动识别结果，输出所述山火现象的告警信息。Alarm output module: configured to output the alarm information of the mountain fire phenomenon according to the mountain fire identification result and the linkage identification result.

为实现上述目的，本发明第三方面提供一种计算机可读存储介质，存储有计算机程序，所述计算机程序被处理器执行时，使得所述处理器执行如第一方面及任一可行实现方式所示步骤。In order to achieve the above object, a third aspect of the present invention provides a computer-readable storage medium, which stores a computer program, and when the computer program is executed by a processor, the processor executes the first aspect and any feasible implementation manner. steps shown.

为实现上述目的，本发明第四方面提供一种计算机设备，包括存储器和处理器，所述存储器存储有计算机程序，所述计算机程序被所述处理器执行时，使得所述处理器执行如第一方面及任一可行实现方式所示步骤。In order to achieve the above object, a fourth aspect of the present invention provides a computer device, comprising a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor executes as described in Section 1. Steps shown in one aspect and any possible implementation.

采用本发明实施例，具有如下有益效果：Adopting the embodiment of the present invention has the following beneficial effects:

本发明提供一种山火告警方法，该方法包括：实时获取采集设备采集的目标山火检测场景的环境数据，采集设备至少包括卫星设备及视频监控设备，卫星设备采集的环境数据为卫星遥感数据，视频监控设备采集的环境数据为监控视频数据；利用卫星遥感数据及预设的第一山火识别算法进行山火识别，以及利用监控视频数据及预设的第二山火识别算法进行山火识别，确定目标山火检测场景的目标识别结果，目标识别结果包括山火识别结果与采集设备的对应关系；当山火识别结果包括存在山火现象，则根据预设的联动响应规则控制目标采集设备进行联动的山火识别，确定目标山火检测场景的联动识别结果，目标采集设备为山火识别结果对应的采集设备以外的另一采集设备，预设的联动响应规则包括当基于任一采集设备采集的环境数据识别出目标山火检测场景存在山火现象时，控制另一采集设备进行联动响应，以实现进一步识别目标山火检测场景是否存在山火现象；根据山火识别结果及联动识别结果，输出山火现象的告警信息。通过上述方法实现联动识别山火现象的效果，解决了参考单一环境数据容易出现漏检或误检的情况，可以更有效且及时发现山火险情，使得运维人员可以根据给出告警信息提前做好应急处置方案。The present invention provides a method for warning a mountain fire. The method includes: acquiring, in real time, environmental data of a target mountain fire detection scene collected by a collection device, the collection device at least includes satellite equipment and video monitoring equipment, and the environmental data collected by the satellite equipment is satellite remote sensing data. , the environmental data collected by the video surveillance equipment is surveillance video data; the use of satellite remote sensing data and the preset first wildfire identification algorithm for wildfire identification, and the use of surveillance video data and the preset second wildfire identification algorithm for wildfire identification Recognition, determine the target recognition result of the target wildfire detection scene, the target recognition result includes the corresponding relationship between the wildfire recognition result and the acquisition equipment; when the wildfire recognition result includes the existence of a wildfire phenomenon, the target acquisition equipment is controlled according to the preset linkage response rules Perform linked wildfire identification to determine the linked identification result of the target wildfire detection scene. The target acquisition device is another acquisition device other than the acquisition device corresponding to the wildfire identification result. The preset linkage response rules include when the When the collected environmental data recognizes that there is a mountain fire phenomenon in the target wildfire detection scene, it controls another acquisition device to respond in linkage, so as to further identify whether there is a wildfire phenomenon in the target wildfire detection scene; according to the wildfire identification results and linkage identification results , output the warning information of the wildfire phenomenon. Through the above method, the effect of linkage identification of wildfire phenomena is realized, which solves the situation that the single environmental data is prone to missed detection or false detection, and can more effectively and timely detect the danger of wildfires, so that the operation and maintenance personnel can make advance actions according to the alarm information given. Good emergency plan.

附图说明Description of drawings

为了更清楚地说明本发明实施例或现有技术中的技术方案，下面将对实施例或现有技术描述中所需要使用的附图作简单地介绍，显而易见地，下面描述中的附图仅仅是本发明的一些实施例，对于本领域普通技术人员来讲，在不付出创造性劳动的前提下，还可以根据这些附图获得其他的附图。In order to explain the embodiments of the present invention or the technical solutions in the prior art more clearly, the following briefly introduces the accompanying drawings that need to be used in the description of the embodiments or the prior art. Obviously, the accompanying drawings in the following description are only These are some embodiments of the present invention. For those of ordinary skill in the art, other drawings can also be obtained according to these drawings without creative efforts.

其中：in:

图1为本发明实施例中一种山火告警方法的流程图；1 is a flowchart of a method for warning a mountain fire in an embodiment of the present invention;

图2为本发明实施例中一种山火告警方法的另一流程图；2 is another flowchart of a method for warning a mountain fire in an embodiment of the present invention;

图3为本发明实施例中一种山火告警方法的又一流程图；3 is another flowchart of a method for warning a mountain fire in an embodiment of the present invention;

图4为本发明实施例中一种山火告警装置的结构框图；4 is a structural block diagram of a mountain fire warning device in an embodiment of the present invention;

图5为本发明实施例中计算机设备的结构框图。FIG. 5 is a structural block diagram of a computer device in an embodiment of the present invention.

具体实施方式Detailed ways

下面将结合本发明实施例中的附图，对本发明实施例中的技术方案进行清楚、完整地描述，显然，所描述的实施例仅仅是本发明一部分实施例，而不是全部的实施例。基于本发明中的实施例，本领域普通技术人员在没有作出创造性劳动前提下所获得的所有其他实施例，都属于本发明保护的范围。The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

请参阅图1，图1为本发明实施例中一种山火告警方法的流程图，如图1所示方法，应用于服务器，如图1所示方法具体包括如下步骤：Please refer to FIG. 1. FIG. 1 is a flowchart of a method for warning a mountain fire in an embodiment of the present invention. The method shown in FIG. 1 is applied to a server. The method shown in FIG. 1 specifically includes the following steps:

101、实时获取采集设备采集的目标山火检测场景的环境数据，所述采集设备至少包括卫星设备及视频监控设备，所述卫星设备采集的环境数据为卫星遥感数据，所述视频监控设备采集的环境数据为监控视频数据；101. Acquire, in real time, environmental data of a target mountain fire detection scene collected by a collection device, where the collection device at least includes satellite equipment and video monitoring equipment, the environmental data collected by the satellite equipment is satellite remote sensing data, and the video monitoring equipment collects the environmental data. The environmental data is surveillance video data;

需要说明的是，以服务器作为执行主体为例，服务器可以通过实时获取采集设备采集的目标山火检测场景的环境数据，对目标山火检测场景的环境进行监控，该目标山火检测场景可以为设置有输电线路的场景，环境数据用来反映该目标山火检测场景的环境状态，采集设备包括卫星设备以及视频监控设备，采集设备实时向服务器传输采集的环境数据，以对目标山火检测场景的实时环境进行监控，以设置有输电线路的场景为例，输电线路可以存在多个，视频采集设备也可以存在多个，视频采集设备可以安装在输电线路上，也可以安装在输电线路的周围，以对输电线路所处环境进行监控。It should be noted that, taking the server as the execution subject as an example, the server can monitor the environment of the target wildfire detection scene by acquiring the environmental data of the target wildfire detection scene collected by the acquisition device in real time. The target wildfire detection scene can be: Set up a scene with a power transmission line, and the environmental data is used to reflect the environmental status of the target wildfire detection scene. The acquisition equipment includes satellite equipment and video monitoring equipment. The acquisition equipment transmits the collected environmental data to the server in real time to detect the target wildfire scene. The real-time environment for monitoring is carried out. Taking the scene with transmission lines as an example, there can be multiple transmission lines and multiple video capture devices. Video capture devices can be installed on the transmission line or around the transmission line. , to monitor the environment where the transmission line is located.

102、利用所述卫星遥感数据及预设的第一山火识别算法进行山火识别，以及利用所述监控视频数据及预设的第二山火识别算法进行山火识别，确定所述目标山火检测场景的目标识别结果，所述目标识别结果包括山火识别结果与采集设备的对应关系；102. Use the satellite remote sensing data and the preset first mountain fire identification algorithm to identify the mountain fire, and use the monitoring video data and the preset second mountain fire identification algorithm to identify the mountain fire, and determine the target mountain. The target recognition result of the fire detection scene, the target recognition result includes the corresponding relationship between the mountain fire recognition result and the collection device;

进一步的，得到环境数据之后可以利用该环境数据对目标山火检测场景实时进行山火识别，具体的，可以分别通过预设的第一山火识别算法及卫星遥感数据进行山火识别，以及通过预设的第二山火识别算法及监控视频数据进行山火识别，来确定目标山火检测场景的目标识别结果。可以理解的是，在步骤101之前需要先建立山火识别算法，以实现可以基于环境数据进行山火识别，进而步骤101之前还可以包括：采集目标山火检测场景的历史火情的第一样本数据，第一样本数据至少包括历史火情的历史火点信息及历史卫星遥感数据，其中，历史火点信息主要包括：火点发生时间、火点经纬度、火点发生地海拔高度、火点发生地雨量、火点发生地地表植被种类、火点发生地人员居住情况等等；基于历史火点信息以及历史卫星遥感数据进行山火亮温分析，确定初始的山火阈值库，该山火阈值库包括若干用于山火识别的亮温阈值；根据初始的山火阈值库构建第一山火识别算法；采集目标山火检测场景的历史火情的第二样本数据，第二样本数据至少包括历史山火图像数据；基于历史山火图像数据以及深度学习模型进行训练，构建第二山火识别算法。Further, after obtaining the environmental data, the environmental data can be used to identify the target wildfire detection scene in real time. Specifically, the wildfire can be identified through the preset first wildfire identification algorithm and satellite remote sensing data, and the The preset second wildfire identification algorithm and monitoring video data are used for wildfire identification to determine the target identification result of the target wildfire detection scene. It can be understood that, before step 101, a wildfire identification algorithm needs to be established first, so as to realize the identification of wildfires based on environmental data, and before step 101, it may further include: collecting the first example of the historical fire situation of the target wildfire detection scene. In this data, the first sample data includes at least historical fire point information of historical fires and historical satellite remote sensing data, among which historical fire point information mainly includes: fire point occurrence time, fire point latitude and longitude, fire point altitude, fire point The rainfall at the point of occurrence, the type of surface vegetation at the fire point, the living conditions of the people at the fire point, etc.; based on the historical fire point information and historical satellite remote sensing data, the mountain fire brightness temperature analysis is carried out to determine the initial wild fire threshold database, the mountain fire The fire threshold library includes several brightness temperature thresholds for wildfire identification; the first wildfire identification algorithm is constructed according to the initial wildfire threshold library; the second sample data of the historical fire situation of the target wildfire detection scene is collected, and the second sample data At least include historical wildfire image data; build a second wildfire identification algorithm based on historical wildfire image data and deep learning models for training.

示例性的，第一山火识别算法可以为卫星影像山火识别模型，该卫星影像山火识别模型可以通过收集区域历史火点信息、以及各个区域的卫星影像信息，并基于收集的信息来分析历史火点信息的卫星识别阈值信息进行初始卫星山火阈值库及基础卫星影像山火识别模型的建立，实现第一山火识别算法的构建，其中，历史火点信息主要包括：火点发生时间、火点经纬度、火点发生地海拔高度、火点发生地雨量、火点发生地地表植被种类、火点发生地人员居住情况等等。第二山火识别算法可以为图像识别模型，该图像识别模型可以为深度学习模型，比如目标检测模型，如Yolo算法等。或者两阶段图像分类模型，第一阶段为图像特征提取，包括山火的颜色属性值、山火轮廓形状，并结合当地的海拔、植被等信息，作为山火特征信息，第二阶段基于第一阶段提取的特征信息进行建模，建模方法可以为支持向量机(Support Vector Machine,SVM)、随机森林(Random forest，RF)、人工神经网络(Artificial Neural Network，ANN)等。通过收集历史山火图像数据对图形识别模型进行训练，以得到第二山火识别算法，用于山火识别。示例性的，目标识别结果包括山火识别结果与采集设备的对应关系，山火识别结果可以包括存在山火现象或者不存在山火现象，该山火识别结果可能基于卫星遥感数据或者监控视频数据进行山火识别得到的，进而在本实施例中，建立该山火识别结果与采集设备的对应关系。Exemplarily, the first wildfire identification algorithm may be a satellite imagery wildfire identification model, and the satellite imaged wildfire identification model may collect regional historical fire point information and satellite imagery information of each area, and analyze based on the collected information. The satellite identification threshold information of historical fire point information is used to establish the initial satellite wildfire threshold library and the basic satellite image wildfire identification model to realize the construction of the first wildfire identification algorithm. The historical fire point information mainly includes: fire point occurrence time , the latitude and longitude of the fire point, the altitude of the fire point, the rainfall at the fire point, the types of vegetation on the surface of the fire point, the living conditions of the people in the fire point, etc. The second wildfire recognition algorithm may be an image recognition model, and the image recognition model may be a deep learning model, such as a target detection model, such as the Yolo algorithm. Or a two-stage image classification model. The first stage is image feature extraction, including the color attribute value of the wildfire, the outline shape of the wildfire, and combined with the local altitude, vegetation and other information as the characteristic information of the wildfire. The second stage is based on the first stage. The feature information extracted at the stage is modeled, and the modeling method can be Support Vector Machine (SVM), Random Forest (RF), Artificial Neural Network (ANN), etc. The pattern recognition model is trained by collecting historical wildfire image data to obtain the second wildfire identification algorithm for wildfire identification. Exemplarily, the target identification result includes the corresponding relationship between the wildfire identification result and the collection device, the wildfire identification result may include the presence of a wildfire phenomenon or the absence of a wildfire phenomenon, and the wildfire identification result may be based on satellite remote sensing data or surveillance video data. It is obtained by performing wildfire identification, and in this embodiment, a corresponding relationship between the wildfire identification result and the collection device is established.

103、当所述山火识别结果包括存在山火现象，则根据预设的联动响应规则控制目标采集设备进行联动的山火识别，确定所述目标山火检测场景的联动识别结果，所述目标采集设备为所述山火识别结果对应的采集设备以外的另一采集设备，所述预设的联动响应规则包括当基于任一采集设备采集的环境数据识别出所述目标山火检测场景存在山火现象时，控制另一采集设备进行联动响应，以实现进一步识别所述目标山火检测场景是否存在山火现象；103. When the wildfire identification result includes the existence of a wildfire phenomenon, control the target acquisition device to perform linked wildfire identification according to a preset linkage response rule, and determine the linkage identification result of the target wildfire detection scene, and the target The collection device is another collection device other than the collection device corresponding to the mountain fire identification result, and the preset linkage response rule includes that when the target mountain fire detection scene is identified based on the environmental data collected by any collection device, there is a mountain in the target mountain fire detection scene. When a fire phenomenon occurs, control another acquisition device to perform a linkage response, so as to further identify whether there is a fire phenomenon in the target wildfire detection scene;

需要说明的是，通过上述环境数据对应的山火识别算法可以实现是否存在山火现象的结果，也即山火识别结果。进一步的，当山火识别结果包括存在山火现象，则根据预设的联动响应规则控制目标采集设备进行联动的山火识别。其中，目标采集设备可以为卫星设备或者视频监控设备，该目标采集设备可以通过目标识别结果包括山火识别结果与采集设备的对应关系来确定，示例性的，当存在山火现象的山火识别结果对应的采集设备为卫星设备，则目标采集设备为视频监控设备；当存在山火现象的山火识别结果对应的采集设备为视频监控设备，则目标采集设备为卫星设备。也即目标采集设备为山火识别结果对应的采集设备以外的另一采集设备。该预设的联动响应规则用于在基于任一采集设备采集的环境数据识别出目标山火检测场景存在山火现象时，控制另一采集设备进行联动响应，以实现进一步识别该目标山火检测场景是否存在山火现象，确定该目标山火检测场景的联动识别结果，提高对该目标山火检测场景是否存在山火现象的检测的准确性。示例性的，联动识别结果包括目标山火检测场景存在山火现象或者目标山火检测场景不存在山火现象。It should be noted that, through the wildfire identification algorithm corresponding to the above environmental data, the result of whether there is a wildfire phenomenon, that is, the wildfire identification result, can be realized. Further, when the wildfire identification result includes the existence of a wildfire phenomenon, the target acquisition device is controlled to perform linked wildfire identification according to a preset linkage response rule. Wherein, the target collection device may be satellite equipment or video surveillance equipment, and the target collection device may be determined by the target recognition result including the corresponding relationship between the mountain fire recognition result and the collection device. If the acquisition device corresponding to the result is a satellite device, the target acquisition device is a video surveillance device; when the acquisition device corresponding to the mountain fire identification result with the phenomenon of a mountain fire is a video surveillance device, the target acquisition device is a satellite device. That is, the target collection device is another collection device other than the collection device corresponding to the wildfire identification result. The preset linkage response rule is used to control another acquisition device to perform a linkage response when it is identified based on the environmental data collected by any acquisition device that there is a wildfire phenomenon in the target wildfire detection scene, so as to further identify the target wildfire detection Whether there is a wildfire phenomenon in the scene, determine the linkage recognition result of the target wildfire detection scene, and improve the detection accuracy of whether there is a wildfire phenomenon in the target wildfire detection scene. Exemplarily, the linkage identification result includes that the target wildfire detection scene has a wildfire phenomenon or the target wildfire detection scene does not have a wildfire phenomenon.

104、根据所述山火识别结果及联动识别结果，输出所述山火现象的告警信息。104. Output alarm information of the mountain fire phenomenon according to the mountain fire identification result and the linkage identification result.

可以理解的是，在得到联动识别结果后，便可以结合山火识别结果及联动识别结果，输出山火现象的告警信息，该告警信息用于对运维人员进行山火提示，该告警信息包括但不限于山火等级、发生地点等山火相关信息、以及山火现象的运维建议，示例性的，可以将告警信息输出至预设终端的显示界面。It is understandable that, after obtaining the linkage identification result, you can combine the wildfire identification result and linkage identification result to output the alarm information of the wildfire phenomenon, and the alarm information is used to remind the operation and maintenance personnel of the wildfire. However, it is not limited to wildfire-related information such as the grade of the wildfire, the location of occurrence, and the operation and maintenance suggestion of the wildfire phenomenon. Exemplarily, the alarm information may be output to the display interface of the preset terminal.

本发明提供一种山火告警方法，该方法包括：实时获取采集设备采集的目标山火检测场景的环境数据，采集设备至少包括卫星设备及视频监控设备，卫星设备采集的环境数据为卫星遥感数据，视频监控设备采集的环境数据为监控视频数据；利用卫星遥感数据及预设的第一山火识别算法进行山火识别，以及利用监控视频数据及预设的第二山火识别算法进行山火识别，确定目标山火检测场景的目标识别结果，目标识别结果包括山火识别结果与采集设备的对应关系；当山火识别结果包括存在山火现象，则根据预设的联动响应规则控制目标采集设备进行联动的山火识别，确定目标山火检测场景的联动识别结果，目标采集设备为山火识别结果对应的采集设备以外的另一采集设备，预设的联动响应规则包括当基于任一采集设备采集的环境数据识别出目标山火检测场景存在山火现象时，控制另一采集设备进行联动响应，以实现进一步识别目标山火检测场景是否存在山火现象；根据山火识别结果及联动识别结果，输出山火现象的告警信息。通过上述方法实现联动识别山火现象的效果，解决了参考单一环境数据容易出现漏检或误检的情况，可以更有效且及时发现山火险情，使得运维人员可以根据给出告警信息提前做好应急处置方案。The present invention provides a method for warning a mountain fire. The method includes: acquiring, in real time, environmental data of a target mountain fire detection scene collected by a collection device, the collection device at least includes satellite equipment and video monitoring equipment, and the environmental data collected by the satellite equipment is satellite remote sensing data. , the environmental data collected by the video surveillance equipment is surveillance video data; the use of satellite remote sensing data and the preset first wildfire identification algorithm for wildfire identification, and the use of surveillance video data and the preset second wildfire identification algorithm for wildfire identification Recognition, determine the target recognition result of the target wildfire detection scene, the target recognition result includes the corresponding relationship between the wildfire recognition result and the acquisition equipment; when the wildfire recognition result includes the existence of a wildfire phenomenon, the target acquisition equipment is controlled according to the preset linkage response rules Perform linked wildfire identification to determine the linked identification result of the target wildfire detection scene. The target acquisition device is another acquisition device other than the acquisition device corresponding to the wildfire identification result. The preset linkage response rules include when the When the collected environmental data recognizes that there is a mountain fire phenomenon in the target wildfire detection scene, it controls another acquisition device to respond in linkage, so as to further identify whether there is a wildfire phenomenon in the target wildfire detection scene; according to the wildfire identification results and linkage identification results , output the warning information of the wildfire phenomenon. Through the above method, the effect of linkage identification of wildfire phenomena is realized, which solves the situation that the single environmental data is prone to missed detection or false detection, and can more effectively and timely detect the danger of wildfires, so that the operation and maintenance personnel can make advance actions according to the alarm information given. Good emergency plan.

请参阅图2，图2为本发明实施例中一种山火告警方法的另一流程图，图2所示方法具体包括如下步骤：Please refer to FIG. 2. FIG. 2 is another flowchart of a method for warning a mountain fire according to an embodiment of the present invention. The method shown in FIG. 2 specifically includes the following steps:

201、实时获取采集设备采集的目标山火检测场景的环境数据，所述采集设备至少包括卫星设备及视频监控设备，所述卫星设备采集的环境数据为卫星遥感数据，所述视频监控设备采集的环境数据为监控视频数据；201. Obtain, in real time, environmental data of a target mountain fire detection scene collected by a collection device, where the collection device at least includes satellite equipment and video monitoring equipment, the environmental data collected by the satellite equipment is satellite remote sensing data, and the video monitoring equipment collects the environmental data. The environmental data is surveillance video data;

202、利用所述卫星遥感数据及预设的第一山火识别算法进行山火识别，以及利用所述监控视频数据及预设的第二山火识别算法进行山火识别，确定所述目标山火检测场景的目标识别结果，所述目标识别结果包括山火识别结果与采集设备的对应关系；202. Use the satellite remote sensing data and the preset first mountain fire identification algorithm to identify the mountain fire, and use the monitoring video data and the preset second mountain fire identification algorithm to identify the mountain fire, and determine the target mountain. The target recognition result of the fire detection scene, the target recognition result includes the corresponding relationship between the mountain fire recognition result and the collection device;

需要说明的是，步骤201及202与图1所示方法的步骤101及102内容相似，为避免重复，此处不做赘述，具体可参考前述图1所示方法的步骤101及102内容。It should be noted thatsteps 201 and 202 are similar to steps 101 and 102 of the method shown in FIG. 1 , and are not repeated here to avoid repetition. For details, refer to the content of steps 101 and 102 of the method shown in FIG.

进一步的，当山火识别结果包括存在山火现象，且山火识别结果对应的采集设备为卫星设备，那么目标采集设备为视频监控设备。则根据预设的联动响应规则控制目标采集设备进行联动的山火识别，确定所述目标山火检测场景的联动识别结果可以包括下述步骤203、204及205。Further, when the mountain fire identification result includes the existence of a mountain fire phenomenon, and the collection device corresponding to the mountain fire identification result is a satellite device, then the target collection device is a video surveillance device. Then, according to the preset linkage response rule, the target acquisition device is controlled to perform linkage identification of wildfires, and determining the linkage identification result of the target wildfire detection scene may include the followingsteps 203 , 204 and 205 .

203、当所述山火识别结果包括存在山火现象，则根据存在山火现象的所述山火识别结果的卫星遥感数据，确定存在山火现象的目标位置信息，所述目标位置信息至少包括经纬度数据；203. When the mountain fire identification result includes the existence of the mountain fire phenomenon, then according to the satellite remote sensing data of the mountain fire identification result of the existence of the mountain fire phenomenon, determine the target location information of the existence of the mountain fire phenomenon, and the target location information at least includes: latitude and longitude data;

其中，当山火识别结果包括存在山火现象，那么便可以根据预设的联动响应规则控制目标采集设备立即响应以实现山火现象的进行一步识别，具体的，根据山火识别结果为存在山火现象的卫星遥感数据，确定存在山火现象的目标位置信息，可以理解的是，卫星遥感数据包括该山火现象对应的山火发生地点信息，该山火发生地点信息包括但不限于经纬度数据。Among them, when the wildfire identification result includes the existence of a wildfire phenomenon, then the target acquisition device can be controlled to respond immediately according to the preset linkage response rule to realize one-step identification of the wildfire phenomenon. Specifically, according to the wildfire identification result, there is a wildfire. The satellite remote sensing data of the phenomenon determines the target location information of the mountain fire phenomenon. It can be understood that the satellite remote sensing data includes the information on the location of the mountain fire corresponding to the mountain fire phenomenon, and the information on the location of the mountain fire includes but is not limited to latitude and longitude data.

204、利用所述经纬度数据、预设范围阈值以及视频监控设备的集群设置信息，确定目标视频监控设备，所述目标视频监控设备为安装在所述经纬度数据以及预设范围阈值构成的目标区域内的视频监控设备，所述集群设置信息包括视频监控设备与安装位置的对应关系；204. Use the latitude and longitude data, the preset range threshold, and the cluster setting information of the video surveillance equipment to determine a target video surveillance device, where the target video surveillance device is installed in the target area formed by the latitude and longitude data and the preset range threshold The video surveillance equipment, the cluster setting information includes the corresponding relationship between the video surveillance equipment and the installation location;

需要说明的是，当确定卫星遥感数据中存在山火现象的经纬度数据后，便可以利用该经纬度数据以及预设范围阈值确定目标视频监控设备，在本实施例中，为每个视频监控设备与其安装位置建立了一一对应关系，进而得到由各个视频监控设备与其安装位置的对应关系构成的集群设置信息，当已知存在山火现象的经纬度数据后，便可以在集群设置信息中的安装位置进行遍历，得到与该存在山火现象的经纬度数据相同的安装位置，以便确定目标视频监控设备。进一步的，在本实施例中，为了保证识别准确度，还设置有预设范围阈值，该预设范围阈值用于同经纬度数据形成目标区域，进而通过遍历集群设置信息中的安装位置得到处于该目标区域内的目标视频监控设备。示例性的，该预设范围阈值可以为面积值、也可以为距离值，在此不做限定，比如搜索经纬度数据周边距离值d以内的视频监控设备作为目标视频监控设备。可以理解的是，基于不同采集设备得到的环境数据进行山火识别，得到的山火识别结果会有时差，进而可以通过任一先识别出山火现象的山火识别结果对应的采集设备，确定目标采集设备，示例性的，视频监控设备是集群设置的，用来对目标检测环境进行全面、多方位的监控，进而在识别出山火时，可以利用山火附近的视频监控设备蔡家跌环境数据，进一步进行山火识别。It should be noted that, after determining the longitude and latitude data of the mountain fire phenomenon in the satellite remote sensing data, the target video monitoring equipment can be determined by using the longitude and latitude data and the preset range threshold. The installation location establishes a one-to-one correspondence, and then obtains the cluster setting information composed of the corresponding relationship between each video surveillance device and its installation location. When the latitude and longitude data of the mountain fire phenomenon is known, the installation location in the cluster setting information can be obtained. The traversal is performed to obtain the same installation position as the latitude and longitude data of the mountain fire phenomenon, so as to determine the target video surveillance equipment. Further, in this embodiment, in order to ensure the recognition accuracy, a preset range threshold is also set, and the preset range threshold is used to form a target area with the latitude and longitude data, and then the installation location in the cluster setting information is obtained by traversing the cluster setting information. Target video surveillance equipment within the target area. Exemplarily, the preset range threshold may be an area value or a distance value, which is not limited here, for example, a video surveillance device within the surrounding distance value d of the latitude and longitude data is searched as a target video surveillance device. It is understandable that when the wildfire identification is carried out based on the environmental data obtained by different collection equipment, the obtained wildfire identification results will have a time difference, and then the target can be determined by any collection equipment corresponding to the wildfire identification result that first identifies the wildfire phenomenon. Acquisition equipment, for example, video surveillance equipment is set up in a cluster to monitor the target detection environment in a comprehensive and multi-directional manner, and then when a wildfire is identified, the environmental data of the video surveillance equipment Caijiadi near the wildfire can be used. , to further identify wildfires.

205、基于所述目标视频监控设备采集到的目标监控数据进行山火识别，确定所述目标山火检测场景的联动识别结果，所述目标监控数据为基于所述卫星遥感数据确定存在山火现象的山火识别结果之后，所述目标视频监控设备采集到的视频监控数据；205. Perform wildfire identification based on the target monitoring data collected by the target video monitoring device, and determine a linkage identification result of the target wildfire detection scene, where the target monitoring data is determined based on the satellite remote sensing data to determine that there is a wildfire phenomenon After the wildfire identification result, the video surveillance data collected by the target video surveillance equipment;

可以理解的是，在确定目标视频监控设备后，便可以对上述存在山火现象的目标山火检测场景进行是否存在山火现象的在此判断，通过目标视频监控设备采集到的目标监控数据进行山火识别，确定目标山火检测场景的联动识别结果。It can be understood that after determining the target video monitoring equipment, the above-mentioned target wildfire detection scene with wildfire phenomenon can be judged here whether there is a wildfire phenomenon, and the target monitoring data collected by the target video monitoring equipment Wildfire identification, to determine the linkage identification results of the target wildfire detection scene.

206、根据所述山火识别结果及联动识别结果，输出所述山火现象的告警信息。206. Output alarm information of the mountain fire phenomenon according to the mountain fire identification result and the linkage identification result.

示例性的，当山火识别结果对应的采集设备为卫星设备，目标采集设备为视频监控设备，步骤206可以包括步骤A1-A3：Exemplarily, when the collection device corresponding to the wildfire identification result is a satellite device, and the target collection device is a video surveillance device,step 206 may include steps A1-A3:

A1、当所述山火识别结果及所述联动识别结果均包括存在山火现象，则输出所述山火现象的第一告警信息，所述第一告警信息包括山火风险提示为第一级风险；该第一告警信息包括但不限于提示运维人员进行山火扑灭工作。A1. When both the wildfire identification result and the linkage identification result include the existence of a wildfire phenomenon, output the first warning information of the wildfire phenomenon, and the first warning information includes a wildfire risk prompt as the first level Risk; the first alarm information includes, but is not limited to, prompting operation and maintenance personnel to carry out wildfire extinguishing work.

A2、当所述山火识别结果包括存在山火现象，而所述联动识别结果包括未识别山火现象的第一结果，则输出所述山火现象的第二告警信息，所述第二告警信息包括提示山火风险为第二级风险，所述第一结果包括未采集到所述目标监控数据；比如，目标监控设备损坏、不存在等等异常原因，导致不能够正常工作。该第二告警信息包括但不限于提示运维人员可能需要进行山火扑灭工作，以及检查经纬度数据对应的视频监控设备的工作状态。A2. When the wildfire identification result includes the existence of the wildfire phenomenon, and the linkage identification result includes the first result of the unidentified wildfire phenomenon, output the second warning information of the wildfire phenomenon, and the second warning The information includes indicating that the mountain fire risk is a second-level risk, and the first result includes that the target monitoring data has not been collected; for example, the target monitoring equipment is damaged or does not exist due to abnormal reasons, which cause it to fail to work normally. The second alarm information includes, but is not limited to, prompting the operation and maintenance personnel that the mountain fire may need to be extinguished, and checking the working status of the video surveillance equipment corresponding to the latitude and longitude data.

A3、当所述山火识别结果包括存在山火现象，而所述联动识别结果包括未识别山火现象的第二结果，则输出所述山火现象的第三告警信息，所述第三告警信息包括提示山火风险为第三级风险，所述第二结果为采集到所述目标监控数据，但未识别出山火现象；比如，可能卫星某一时刻误检，则通过跟近距离的目标监控数据的山火识别，发现不存在山火现象。其中，第三告警信息包括但不限于提示运维人员调取目标视频监控设备的监控数据进行人工查勘，避免山火风险A3. When the wildfire identification result includes the existence of the wildfire phenomenon, and the linkage identification result includes the second result of the unidentified wildfire phenomenon, output the third warning information of the wildfire phenomenon, and the third warning The information includes indicating that the risk of wildfire is a third-level risk, and the second result is that the target monitoring data is collected, but no wildfire phenomenon has been identified; The identification of wildfires in the monitoring data shows that there is no phenomenon of wildfires. Among them, the third alarm information includes but is not limited to prompting the operation and maintenance personnel to retrieve the monitoring data of the target video surveillance equipment for manual survey to avoid the risk of wildfires

其中，第一级风险大于第二级风险，第二级风险大于第三级风险。进而第一告警信息、第二告警信息及第三告警信息的运维建议的紧急度也逐级提高。Among them, the first-level risk is greater than the second-level risk, and the second-level risk is greater than the third-level risk. Furthermore, the urgency of the operation and maintenance suggestions of the first alarm information, the second alarm information and the third alarm information is also gradually increased.

本发明提供一种山火告警方法，该方法包括：实时获取采集设备采集的目标山火检测场景的环境数据，采集设备至少包括卫星设备及视频监控设备，卫星设备采集的环境数据为卫星遥感数据，视频监控设备采集的环境数据为监控视频数据；利用卫星遥感数据及预设的第一山火识别算法进行山火识别，以及利用监控视频数据及预设的第二山火识别算法进行山火识别，确定目标山火检测场景的目标识别结果，目标识别结果包括山火识别结果与采集设备的对应关系；当山火识别结果包括存在山火现象，则根据存在山火现象的山火识别结果的卫星遥感数据，确定存在山火现象的目标位置信息，目标位置信息至少包括经纬度数据；利用经纬度数据、预设范围阈值以及视频监控设备的集群设置信息，确定目标视频监控设备，目标视频监控设备为安装在经纬度数据以及预设范围阈值构成的目标区域内的视频监控设备，集群设置信息包括视频监控设备与安装位置的对应关系；基于目标视频监控设备采集到的目标监控数据进行山火识别，确定目标山火检测场景的联动识别结果，目标监控数据为基于卫星遥感数据确定存在山火现象的山火识别结果之后，目标视频监控设备采集到的视频监控数据；根据山火识别结果及联动识别结果，输出山火现象的告警信息。通过上述方法实现采集设备的联动识别山火现象的效果，通过视频监控设备进一步的山火识别，解决了参考卫星设备的单一环境数据容易出现漏检或误检的情况，可以更有效且及时发现山火险情，使得运维人员可以根据给出告警信息提前做好应急处置方案。使得输电线路周边山火隐患识别高效可靠，提高山火识别的准确率，提高输电线路运维人员的效率，减轻其巡视负担，同时及时发现并处理山火以提高电网的可靠性。The present invention provides a method for warning a mountain fire. The method includes: acquiring, in real time, environmental data of a target mountain fire detection scene collected by a collection device, the collection device at least includes satellite equipment and video monitoring equipment, and the environmental data collected by the satellite equipment is satellite remote sensing data. , the environmental data collected by the video surveillance equipment is surveillance video data; the use of satellite remote sensing data and the preset first wildfire identification algorithm for wildfire identification, and the use of surveillance video data and the preset second wildfire identification algorithm for wildfire identification Recognition, determine the target recognition result of the target wildfire detection scene, the target recognition result includes the corresponding relationship between the wildfire recognition result and the collection equipment; when the wildfire recognition result includes the existence of the phenomenon of wildfire, then according to the result of the identification of the wildfire with the phenomenon of wildfire. Satellite remote sensing data to determine the target location information where there is a mountain fire phenomenon. The target location information includes at least latitude and longitude data; using the latitude and longitude data, preset range thresholds, and cluster setting information of video surveillance equipment to determine the target video surveillance equipment, the target video surveillance equipment is Video surveillance equipment installed in the target area composed of latitude and longitude data and preset range thresholds. The cluster setting information includes the corresponding relationship between the video surveillance equipment and the installation location; based on the target surveillance data collected by the target video surveillance equipment, the wildfire is identified and determined. The linkage identification result of the target wildfire detection scene, the target monitoring data is the video monitoring data collected by the target video monitoring equipment after the wildfire identification result based on the satellite remote sensing data to determine the existence of the wildfire phenomenon; according to the wildfire identification results and linkage identification results , output the warning information of the wildfire phenomenon. Through the above method, the effect of the linkage of the collection equipment to identify the phenomenon of wildfire is realized, and the further identification of the wildfire through the video monitoring equipment solves the situation that the single environmental data of the reference satellite equipment is prone to missed detection or false detection, which can be found more effectively and in time. In the event of a mountain fire, the operation and maintenance personnel can prepare an emergency response plan in advance according to the alarm information given. It makes the identification of wildfire hazards around transmission lines efficient and reliable, improves the accuracy of wildfire identification, improves the efficiency of transmission line operation and maintenance personnel, reduces their inspection burden, and at the same time detects and handles wildfires in time to improve the reliability of the power grid.

请参阅图3，图3为本发明实施例中一种山火告警方法的又一流程图，如图3所示方法具体包括如下步骤：Please refer to FIG. 3. FIG. 3 is another flowchart of a method for warning a mountain fire according to an embodiment of the present invention. As shown in FIG. 3, the method specifically includes the following steps:

301、实时获取采集设备采集的目标山火检测场景的环境数据，所述采集设备至少包括卫星设备及视频监控设备，所述卫星设备采集的环境数据为卫星遥感数据，所述视频监控设备采集的环境数据为监控视频数据；301. Obtain, in real time, environmental data of a target mountain fire detection scene collected by a collection device, where the collection device at least includes satellite equipment and video monitoring equipment, the environmental data collected by the satellite equipment is satellite remote sensing data, and the video monitoring equipment collects the environmental data. The environmental data is surveillance video data;

302、利用所述卫星遥感数据及预设的第一山火识别算法进行山火识别，以及利用所述监控视频数据及预设的第二山火识别算法进行山火识别，确定所述目标山火检测场景的目标识别结果，所述目标识别结果包括山火识别结果与采集设备的对应关系；302. Use the satellite remote sensing data and the preset first mountain fire identification algorithm to identify the mountain fire, and use the monitoring video data and the preset second mountain fire identification algorithm to identify the mountain fire, and determine the target mountain. The target recognition result of the fire detection scene, the target recognition result includes the corresponding relationship between the mountain fire recognition result and the collection device;

需要说明的是，步骤301及302与图1所示方法的步骤101及102内容相似，为避免重复，此处不做赘述，具体可参考前述图1所示方法的步骤101及102内容。It should be noted that steps 301 and 302 are similar to steps 101 and 102 of the method shown in FIG. 1 . To avoid repetition, details are not repeated here. For details, refer to the content of steps 101 and 102 of the method shown in FIG. 1 .

进一步的，当山火识别结果包括存在山火现象，且山火识别结果对应的采集设备为视频监控设备，则目标采集设备为卫星设备，则根据预设的联动响应规则控制目标采集设备进行联动的山火识别，确定所述目标山火检测场景的联动识别结果可以包括下述步骤303、304及305。Further, when the mountain fire identification result includes the existence of a mountain fire phenomenon, and the collection device corresponding to the mountain fire identification result is a video surveillance device, then the target collection device is a satellite device, and the target collection device is controlled to be linked according to the preset linkage response rule. Wildfire identification, determining the linkage identification result of the target wildfire detection scene may include the following steps 303 , 304 and 305 .

303、当所述山火识别结果包括存在山火现象，则根据所述视频监控设备的集群设置信息，以及存在山火现象的山火识别结果对应的第一视频监控设备，确定存在山火现象的目标位置区域，所述目标位置区域包括所述第一视频监控设备的安装位置；303. When the wildfire identification result includes the existence of a wildfire phenomenon, determine that there is a wildfire phenomenon according to the cluster setting information of the video monitoring equipment and the first video monitoring device corresponding to the wildfire identification result of the existence of the wildfire phenomenon The target location area, the target location area includes the installation location of the first video surveillance equipment;

其中，当山火识别结果包括存在山火现象，那么便可以根据预设的联动响应规则控制目标采集设备立即响应以实现山火现象的进行一步识别，具体的，存在山火现象的山火识别结果对应的第一视频监控设备，确定存在山火现象的目标位置区域，通过在视频监控设备的集群设置信息中查找第一视频监控设备，进而定位该第一视频监控设备的安装位置，得到存在山火现象的目标位置区域。该目标位置区域可以为该安装位置，或包括该安装位置的范围区域，在此不做限定。Among them, when the wildfire identification result includes the existence of the wildfire phenomenon, then the target acquisition device can be controlled to respond immediately according to the preset linkage response rule to realize the one-step identification of the wildfire phenomenon. Specifically, the wildfire identification result with the existence of the wildfire phenomenon The corresponding first video monitoring device determines the target location area where the mountain fire phenomenon exists, and by searching for the first video monitoring device in the cluster setting information of the video monitoring device, and then locating the installation position of the first video monitoring device, obtains the existence of the mountain. The target location area of the fire phenomenon. The target location area may be the installation location, or a range area including the installation location, which is not limited herein.

304、利用所述卫星设备采集所述目标位置区域的遥感数据，所述遥感数据包括像元亮温值，所述像元亮温值用于反映所述目标位置区域的温度状态；304. Use the satellite device to collect remote sensing data of the target location area, where the remote sensing data includes a pixel brightness temperature value, and the pixel brightness temperature value is used to reflect the temperature state of the target location area;

进一步的，得到目标位置区域后，并可以利用卫星设备采集该目标位置区域的遥感数据，该遥感数据包括但不限于像元亮温值。像元亮温值用于反映目标位置区域的温度状态。Further, after obtaining the target location area, satellite equipment can be used to collect remote sensing data of the target location area, and the remote sensing data includes but is not limited to pixel brightness temperature values. The pixel brightness temperature value is used to reflect the temperature state of the target location area.

305、根据所述像元亮温值以及预设的像元亮温阈值进行山火识别，确定所述目标山火检测场景的联动识别结果；305. Perform wildfire identification according to the pixel brightness temperature value and a preset pixel brightness temperature threshold, and determine a linkage identification result of the target wildfire detection scene;

需要说明的是，可以根据像元亮温值以及预设的像元亮温阈值进行山火识别，确定目标山火检测场景的联动识别结果，其中，预设的像元亮温阈值基于初始的山火阈值库得到，卫星山火识别原理为：比较待定像元亮温值与周边像元亮温值差异，若差异值超过一定的阈值，则认为该像元内发生山火，进而可以得到目标山火检测场景的联动识别结果。像元亮温阈值表示山火差异的临界值，当待定像元亮温值与背景像元亮温值差异大于该阈值，则认为该像元发生山火。如若设置像元亮温阈值为200，当差异值为201(大于200)时，则认为有山火发生。It should be noted that the wildfire identification can be performed according to the pixel brightness temperature value and the preset pixel brightness temperature threshold, and the linkage identification result of the target wildfire detection scene can be determined, wherein the preset pixel brightness temperature threshold is based on the initial threshold. The mountain fire threshold library is obtained. The principle of satellite mountain fire identification is: compare the difference between the brightness temperature value of the undetermined pixel and the brightness temperature value of the surrounding pixels. If the difference value exceeds a certain threshold, it is considered that there is a mountain fire in the pixel, and then we can get The linkage recognition result of the target wildfire detection scene. The pixel brightness temperature threshold represents the critical value of the difference between wildfires. When the difference between the brightness temperature value of the undetermined pixel and the brightness temperature value of the background pixel is greater than the threshold, the pixel is considered to have a wildfire. If the pixel brightness temperature threshold is set to 200, when the difference value is 201 (greater than 200), it is considered that there is a wildfire.

306、根据所述山火识别结果及联动识别结果，输出所述山火现象的告警信息。306. Output alarm information of the mountain fire phenomenon according to the mountain fire identification result and the linkage identification result.

示例性的，当山火识别结果对应的采集设备为视频监控设备，目标采集设备为卫星设备，步骤306可以包括步骤B1-B3：Exemplarily, when the collection device corresponding to the wildfire identification result is a video surveillance device, and the target collection device is a satellite device,step 306 may include steps B1-B3:

B1、当所述山火识别结果及所述联动识别结果均包括存在山火现象，则输出所述山火现象的第四告警信息，所述第四告警信息包括提示山火风险为第一级风险；B1. When both the wildfire identification result and the linkage identification result include the existence of a wildfire phenomenon, output fourth warning information of the wildfire phenomenon, and the fourth warning information includes a warning that the wildfire risk is the first level risk;

B2、当所述山火识别结果包括存在山火现象，而所述联动识别结果包括未识别山火现象的第三结果，则输出所述山火现象的第五告警信息，所述第五告警信息包括提示山火风险为第二级风险，所述第三结果为云层或山体遮挡所述卫星设备；B2. When the mountain fire identification result includes the existence of the mountain fire phenomenon, and the linkage identification result includes the third result that the mountain fire phenomenon is not identified, output the fifth alarm information of the mountain fire phenomenon, and the fifth alarm The information includes indicating that the risk of wildfire is a second-level risk, and the third result is that clouds or mountains block the satellite equipment;

在一种可行实现方式中，所述当所述目标识别结果为存在山火现象，而所述联动识别结果包括未识别山火现象的第三结果，之后还可以对第一山火识别算法进行更新，以不断完善该第一山火识别算法，提高识别准确度，进而当目标识别结果为存在山火现象，而联动识别结果包括未识别山火现象的第三结果，之后还包括步骤C1-C4：In a feasible implementation manner, when the target identification result is that there is a mountain fire phenomenon, and the linkage identification result includes a third result of not identifying the mountain fire phenomenon, then the first wildfire identification algorithm may be further performed. Update, in order to continuously improve the first wildfire identification algorithm, improve the identification accuracy, and then when the target identification result is that there is a wildfire phenomenon, and the linkage identification result includes the third result of the unidentified wildfire phenomenon, it also includes steps C1- C4:

C1、利用当前像元亮温值更新所述预设的像元亮温阈值；C1, using the current pixel brightness temperature value to update the preset pixel brightness temperature threshold;

其中，阈值库更新方法包括：通过当前像元亮温值对应的环境信息，所述环境信息包括但不限于海拔、坡度、坡向、地表覆盖类型、降雨量、经纬度、植被类型等参数，以及卫星山火阈值库包含若干条历史阈值信息，每条历史阈值信息包括海拔、坡度、坡向、地表覆盖类型、降雨量、经纬度、植被类型等参数，若收到新的阈值样本信息，则加入卫星山火阈值库，动态优化更新卫星山火阈值生成模型。Wherein, the threshold library update method includes: using the environmental information corresponding to the current pixel brightness temperature value, the environmental information includes but not limited to parameters such as altitude, slope, slope aspect, surface coverage type, rainfall, longitude and latitude, vegetation type, etc., and The satellite mountain fire threshold library contains several pieces of historical threshold information. Each piece of historical threshold information includes parameters such as altitude, slope, slope aspect, land cover type, rainfall, latitude and longitude, and vegetation type. If new threshold sample information is received, it will be added. Satellite wildfire threshold library, dynamically optimize and update satellite wildfire threshold generation model.

C2、利用更新后的像元亮温阈值以及当前像元亮温值，确定所述联动识别结果；也即，利用更新后的像元亮温阈值以及当前像元亮温值，再次识别确定联动识别结果。C2. Use the updated pixel brightness temperature threshold and the current pixel brightness temperature value to determine the linkage identification result; that is, use the updated pixel brightness temperature threshold and the current pixel brightness temperature value to identify and determine the linkage again Identify the results.

C3、若所述联动识别结果包括识别到山火现象，则输出所述山火现象的第五告警信息，并更新所述第一山火识别算法的山火阈值库，所述第五告警信息包括提示山火风险为第二级风险；C3. If the linkage identification result includes the identification of a wildfire phenomenon, output the fifth alarm information of the wildfire phenomenon, and update the wildfire threshold library of the first wildfire identification algorithm, and the fifth alarm information Including prompting that the wildfire risk is a second-level risk;

C4、若所述联动识别结果包括未识别到山火现象的第四结果，则继续输出所述第四告警信息。C4. If the linkage identification result includes a fourth result in which a mountain fire phenomenon is not identified, continue to output the fourth alarm information.

B3、当所述山火识别结果包括存在山火现象，及所述联动识别结果包括未识别山火现象的第四结果，则输出所述山火现象的第四告警信息，所述第四告警信息包括提示运维人员核实图像视频。B3. When the wildfire identification result includes the existence of a wildfire phenomenon, and the linkage identification result includes a fourth result of unidentified wildfire phenomenon, output fourth warning information of the wildfire phenomenon, and the fourth warning The information includes prompting operators to verify images and videos.

本发明提供一种山火告警方法，该方法包括：实时获取采集设备采集的目标山火检测场景的环境数据，采集设备至少包括卫星设备及视频监控设备，卫星设备采集的环境数据为卫星遥感数据，视频监控设备采集的环境数据为监控视频数据；利用卫星遥感数据及预设的第一山火识别算法进行山火识别，以及利用监控视频数据及预设的第二山火识别算法进行山火识别，确定目标山火检测场景的目标识别结果，目标识别结果包括山火识别结果与采集设备的对应关系；当山火识别结果包括存在山火现象，则根据视频监控设备的集群设置信息，以及存在山火现象的山火识别结果对应的第一视频监控设备，确定存在山火现象的目标位置区域，目标位置区域包括第一视频监控设备的安装位置；利用卫星设备采集目标位置区域的遥感数据，遥感数据包括像元亮温值，像元亮温值用于反映目标位置区域的温度状态；根据像元亮温值以及预设的像元亮温阈值进行山火识别，确定目标山火检测场景的联动识别结果；根据山火识别结果及联动识别结果，输出山火现象的告警信息。通过上述方法实现采集设备的联动识别山火现象的效果，通过卫星设备进一步的山火识别，解决了参考视频监控设备的单一环境数据容易出现漏检或误检的情况，可以更有效且及时发现山火险情，使得运维人员可以根据给出告警信息提前做好应急处置方案。使得输电线路周边山火隐患识别高效可靠，提高山火识别的准确率，提高输电线路运维人员的效率，减轻其巡视负担，同时及时发现并处理山火以提高电网的可靠性。The present invention provides a method for warning a mountain fire. The method includes: acquiring, in real time, environmental data of a target mountain fire detection scene collected by a collection device, the collection device at least includes satellite equipment and video monitoring equipment, and the environmental data collected by the satellite equipment is satellite remote sensing data. , the environmental data collected by the video surveillance equipment is surveillance video data; the use of satellite remote sensing data and the preset first wildfire identification algorithm for wildfire identification, and the use of surveillance video data and the preset second wildfire identification algorithm for wildfire identification Recognition, determine the target recognition result of the target wildfire detection scene, the target recognition result includes the corresponding relationship between the wildfire recognition result and the collection equipment; The first video monitoring device corresponding to the mountain fire identification result of the mountain fire phenomenon determines the target location area where the mountain fire phenomenon exists, and the target location area includes the installation position of the first video monitoring device; the remote sensing data of the target location area is collected by satellite equipment, The remote sensing data includes the pixel brightness temperature value, which is used to reflect the temperature state of the target location area; the wildfire identification is performed according to the pixel brightness temperature value and the preset pixel brightness temperature threshold, and the target wildfire detection scene is determined. The linkage identification results are obtained; according to the wildfire identification results and linkage identification results, the alarm information of the wildfire phenomenon is output. Through the above method, the effect of the linkage of the collection equipment to identify the phenomenon of wildfire is realized, and the further identification of the wildfire through the satellite equipment solves the situation that the single environmental data of the reference video monitoring equipment is prone to missed detection or false detection, which can be found more effectively and in time. In the event of a mountain fire, the operation and maintenance personnel can prepare an emergency response plan in advance according to the alarm information given. It makes the identification of wildfire hazards around transmission lines efficient and reliable, improves the accuracy of wildfire identification, improves the efficiency of transmission line operation and maintenance personnel, reduces their inspection burden, and at the same time detects and handles wildfires in time to improve the reliability of the power grid.

请参阅图4，图4为本发明实施例中一种山火告警装置的结构框图，如图4所示的装置包括：Please refer to FIG. 4. FIG. 4 is a structural block diagram of a mountain fire warning device according to an embodiment of the present invention. The device shown in FIG. 4 includes:

数据获取模块401：用于实时获取采集设备采集的目标山火检测场景的环境数据，所述采集设备至少包括卫星设备及视频监控设备，所述卫星设备采集的环境数据为卫星遥感数据，所述视频监控设备采集的环境数据为监控视频数据；Data acquisition module 401: used to acquire in real time the environmental data of the target mountain fire detection scene collected by the acquisition device, the acquisition device includes at least satellite equipment and video monitoring equipment, the environmental data collected by the satellite equipment is satellite remote sensing data, and the The environmental data collected by the video surveillance equipment is surveillance video data;

山火识别模块402：用于利用所述卫星遥感数据及预设的第一山火识别算法进行山火识别，以及利用所述监控视频数据及预设的第二山火识别算法进行山火识别，确定所述目标山火检测场景的目标识别结果，所述目标识别结果包括山火识别结果与采集设备的对应关系；Wildfire identification module 402: used to identify wildfires by using the satellite remote sensing data and a preset first wildfire identification algorithm, and use the monitoring video data and a preset second wildfire identification algorithm to identify wildfires , determine the target recognition result of the target mountain fire detection scene, and the target recognition result includes the corresponding relationship between the mountain fire recognition result and the collection device;

联动识别模块403：用于当所述山火识别结果包括存在山火现象，则根据预设的联动响应规则控制目标采集设备进行联动的山火识别，确定所述目标山火检测场景的联动识别结果，所述目标采集设备为所述山火识别结果对应的采集设备以外的另一采集设备，所述预设的联动响应规则包括当基于任一采集设备采集的环境数据识别出所述目标山火检测场景存在山火现象时，控制另一采集设备进行联动响应，以实现进一步识别所述目标山火检测场景是否存在山火现象；Linkage identification module 403: used to control the target acquisition device to perform linked wildfire identification according to preset linkage response rules when the wildfire identification result includes the existence of a wildfire phenomenon, and determine the linkage identification of the target wildfire detection scene As a result, the target collection device is another collection device other than the collection device corresponding to the mountain fire identification result, and the preset linkage response rule includes when the target mountain is identified based on the environmental data collected by any collection device When there is a mountain fire phenomenon in the fire detection scene, control another acquisition device to perform a linkage response, so as to further identify whether there is a mountain fire phenomenon in the target wildfire detection scene;

告警输出模块404：用于根据所述山火识别结果及联动识别结果，输出所述山火现象的告警信息。Alarm output module 404: configured to output the alarm information of the mountain fire phenomenon according to the mountain fire identification result and the linkage identification result.

需要说明的是，图4所示各模块的作用与图1所示方法的各个步骤内容相似，为避免重复，此处不做赘述，具体可参考前述图1所示方法的各个步骤内容。It should be noted that the functions of the modules shown in FIG. 4 are similar to the content of each step of the method shown in FIG. 1 , and to avoid repetition, detailed descriptions are not repeated here.

本发明提供一种山火告警装置，该装置包括：数据获取模块：用于实时获取采集设备采集的目标山火检测场景的环境数据，采集设备至少包括卫星设备及视频监控设备，卫星设备采集的环境数据为卫星遥感数据，视频监控设备采集的环境数据为监控视频数据；山火识别模块：用于利用卫星遥感数据及预设的第一山火识别算法进行山火识别，以及利用监控视频数据及预设的第二山火识别算法进行山火识别，确定目标山火检测场景的目标识别结果，目标识别结果包括山火识别结果与采集设备的对应关系；联动识别模块：用于当山火识别结果包括存在山火现象，则根据预设的联动响应规则控制目标采集设备进行联动的山火识别，确定目标山火检测场景的联动识别结果，目标采集设备为山火识别结果对应的采集设备以外的另一采集设备，预设的联动响应规则包括当基于任一采集设备采集的环境数据识别出目标山火检测场景存在山火现象时，控制另一采集设备进行联动响应，以实现进一步识别目标山火检测场景是否存在山火现象；告警输出模块：用于根据山火识别结果及联动识别结果，输出山火现象的告警信息。通过上述方法实现联动识别山火现象的效果，解决了参考单一环境数据容易出现漏检或误检的情况，可以更有效且及时发现山火险情，使得运维人员可以根据给出告警信息提前做好应急处置方案。The invention provides a mountain fire alarm device, the device includes: a data acquisition module: used for real-time acquisition of environmental data of a target mountain fire detection scene collected by a collection device, and the collection device at least includes satellite equipment and video monitoring equipment. The environmental data is satellite remote sensing data, and the environmental data collected by video surveillance equipment is surveillance video data; wildfire identification module: used to identify wildfires using satellite remote sensing data and the preset first wildfire identification algorithm, and use monitoring video data and the preset second wildfire identification algorithm for wildfire identification, to determine the target identification result of the target wildfire detection scene, and the target identification result includes the corresponding relationship between the wildfire identification result and the collection equipment; linkage identification module: used to identify when the wildfire If the result includes the existence of a mountain fire phenomenon, the target collection device is controlled according to the preset linkage response rule to perform the linkage identification of the mountain fire, and the linkage identification result of the target mountain fire detection scene is determined. The target collection device is other than the collection device corresponding to the mountain fire identification result The preset linkage response rule includes that when the target mountain fire detection scene is identified as having a mountain fire phenomenon based on the environmental data collected by any acquisition device, the other acquisition device is controlled to perform a linkage response to further identify the target. Whether there is a wildfire phenomenon in the wildfire detection scene; alarm output module: used to output the warning information of the wildfire phenomenon according to the wildfire identification result and the linkage identification result. Through the above method, the effect of linkage identification of wildfire phenomena is realized, which solves the situation that the single environmental data is prone to missed detection or false detection, and can more effectively and timely detect the danger of wildfires, so that the operation and maintenance personnel can make advance actions according to the alarm information given. Good emergency plan.

图5本发明实施例中计算机设备的结构框图。该计算机设备具体可以是终端，也可以是服务器。如图5所示，该计算机设备包括通过系统总线连接的处理器、存储器和网络接口。其中，存储器包括非易失性存储介质和内存储器。该计算机设备的非易失性存储介质存储有操作系统，还可存储有计算机程序，该计算机程序被处理器执行时，可使得处理器实现上述方法。该内存储器中也可储存有计算机程序，该计算机程序被处理器执行时，可使得处理器执行上述方法。本领域技术人员可以理解，图5中示出的结构，仅仅是与本申请方案相关的部分结构的框图，并不构成对本申请方案所应用于其上的计算机设备的限定，具体的计算机设备可以包括比图中所示更多或更少的部件，或者组合某些部件，或者具有不同的部件布置。FIG. 5 is a structural block diagram of a computer device in an embodiment of the present invention. Specifically, the computer device may be a terminal or a server. As shown in Figure 5, the computer device includes a processor, memory and a network interface connected by a system bus. Wherein, the memory includes a non-volatile storage medium and an internal memory. The non-volatile storage medium of the computer device stores an operating system, and also stores a computer program. When the computer program is executed by the processor, the processor can implement the above method. A computer program may also be stored in the internal memory, and when the computer program is executed by the processor, the processor may execute the above method. Those skilled in the art can understand that the structure shown in FIG. 5 is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer equipment to which the solution of the present application is applied. Include more or fewer components than shown in the figures, or combine certain components, or have a different arrangement of components.

在一个实施例中，提出了一种计算机设备，包括存储器和处理器，所述存储器存储有计算机程序，所述计算机程序被所述处理器执行时，使得所述处理器执行如图1、图2或图3所示方法的步骤。In one embodiment, a computer device is proposed, including a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor executes the execution of FIG. 1 and FIG. 2 or the steps of the method shown in Figure 3.

在一个实施例中，提出了一种计算机可读存储介质，存储有计算机程序，所述计算机程序被处理器执行时，使得所述处理器执行如图1、图2或图3所示方法的步骤。In one embodiment, a computer-readable storage medium is provided, which stores a computer program, and when the computer program is executed by a processor, causes the processor to execute the method shown in FIG. 1 , FIG. 2 or FIG. 3 . step.

本领域普通技术人员可以理解实现上述实施例方法中的全部或部分流程，是可以通过计算机程序来指令相关的硬件来完成，所述的程序可存储于一非易失性计算机可读取存储介质中，该程序在执行时，可包括如上述各方法的实施例的流程。其中，本申请所提供的各实施例中所使用的对存储器、存储、数据库或其它介质的任何引用，均可包括非易失性和/或易失性存储器。非易失性存储器可包括只读存储器(ROM)、可编程ROM(PROM)、电可编程ROM(EPROM)、电可擦除可编程ROM(EEPROM)或闪存。易失性存储器可包括随机存取存储器(RAM)或者外部高速缓冲存储器。作为说明而非局限，RAM以多种形式可得，诸如静态RAM(SRAM)、动态RAM(DRAM)、同步DRAM(SDRAM)、双数据率SDRAM(DDRSDRAM)、增强型SDRAM(ESDRAM)、同步链路(Synchlink)DRAM(SLDRAM)、存储器总线(Rambus)直接RAM(RDRAM)、直接存储器总线动态RAM(DRDRAM)、以及存储器总线动态RAM(RDRAM)等。Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be implemented by instructing relevant hardware through a computer program, and the program can be stored in a non-volatile computer-readable storage medium , when the program is executed, it may include the flow of the above-mentioned method embodiments. Wherein, any reference to memory, storage, database or other medium used in the various embodiments provided in this application may include non-volatile and/or volatile memory. Nonvolatile memory may include read only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous chain Road (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

以上实施例的各技术特征可以进行任意的组合，为使描述简洁，未对上述实施例中的各个技术特征所有可能的组合都进行描述，然而，只要这些技术特征的组合不存在矛盾，都应当认为是本说明书记载的范围。The technical features of the above embodiments can be combined arbitrarily. In order to make the description simple, all possible combinations of the technical features in the above embodiments are not described. However, as long as there is no contradiction in the combination of these technical features It is considered to be the range described in this specification.

以上所述实施例仅表达了本申请的几种实施方式，其描述较为具体和详细，但并不能因此而理解为对本申请专利范围的限制。应当指出的是，对于本领域的普通技术人员来说，在不脱离本申请构思的前提下，还可以做出若干变形和改进，这些都属于本申请的保护范围。因此，本申请专利的保护范围应以所附权利要求为准。The above-mentioned embodiments only represent several embodiments of the present application, and the descriptions thereof are relatively specific and detailed, but should not be construed as a limitation on the scope of the patent of the present application. It should be pointed out that for those skilled in the art, without departing from the concept of the present application, several modifications and improvements can be made, which all belong to the protection scope of the present application. Therefore, the scope of protection of the patent of the present application shall be subject to the appended claims.

Claims (10)

1. A mountain fire warning method is characterized by comprising the following steps:

acquiring environmental data of a target forest fire detection scene acquired by acquisition equipment in real time, wherein the acquisition equipment at least comprises satellite equipment and video monitoring equipment, the environmental data acquired by the satellite equipment is satellite remote sensing data, and the environmental data acquired by the video monitoring equipment is monitoring video data;

performing mountain fire identification by using the satellite remote sensing data and a preset first mountain fire identification algorithm, performing mountain fire identification by using the monitoring video data and a preset second mountain fire identification algorithm, and determining a target identification result of the target mountain fire detection scene, wherein the target identification result comprises a corresponding relation between the mountain fire identification result and acquisition equipment;

when the mountain fire identification result comprises the existence of mountain fire phenomenon, controlling target acquisition equipment to perform linked mountain fire identification according to a preset linked response rule, and determining a linked identification result of the target mountain fire detection scene, wherein the target acquisition equipment is other acquisition equipment except acquisition equipment corresponding to the mountain fire identification result, and the preset linked response rule comprises controlling the other acquisition equipment to perform linked response when the environment data acquired by any acquisition equipment identifies that the mountain fire phenomenon exists in the target mountain fire detection scene, so as to further identify whether the mountain fire phenomenon exists in the target mountain fire detection scene;

and outputting alarm information of the mountain fire phenomenon according to the mountain fire identification result and the linkage identification result.

2. The method according to claim 1, wherein if the acquisition device corresponding to the forest fire identification result is a satellite device, the target acquisition device is a video monitoring device, and the determining the linkage identification result of the target forest fire detection scene by controlling the target acquisition device to perform linkage forest fire identification according to a preset linkage response rule comprises:

determining target position information with the mountain fire phenomenon according to satellite remote sensing data of the mountain fire recognition result with the mountain fire phenomenon, wherein the target position information at least comprises longitude and latitude data;

determining target video monitoring equipment by utilizing the longitude and latitude data, a preset range threshold value and cluster setting information of the video monitoring equipment, wherein the target video monitoring equipment is the video monitoring equipment installed in a target area formed by the longitude and latitude data and the preset range threshold value, and the cluster setting information comprises a corresponding relation between the video monitoring equipment and an installation position;

and performing mountain fire identification based on target monitoring data acquired by the target video monitoring equipment, and determining a linkage identification result of the target mountain fire detection scene, wherein the target monitoring data is the video monitoring data acquired by the target video monitoring equipment after determining the mountain fire identification result with a mountain fire phenomenon based on the satellite remote sensing data.

3. The method according to claim 1, wherein if the acquisition device corresponding to the forest fire identification result is a video monitoring device, the target acquisition device is a satellite device, and the target acquisition device is controlled to perform the forest fire identification in linkage according to a preset linkage response rule to determine the linkage identification result of the target forest fire detection scene, the method comprises:

determining a target position area with the mountain fire phenomenon according to the cluster setting information of the video monitoring equipment and the first video monitoring equipment corresponding to the mountain fire identification result with the mountain fire phenomenon, wherein the target position area comprises the installation position of the first video monitoring equipment;

acquiring remote sensing data of the target position area by using the satellite equipment, wherein the remote sensing data comprises a pixel brightness temperature value which is used for reflecting the temperature state of the target position area;

and performing mountain fire identification according to the pixel brightness temperature value and a preset pixel brightness temperature threshold value, and determining a linkage identification result of the target mountain fire detection scene.

4. The method according to claim 2, wherein the outputting the warning information of the mountain fire phenomenon according to the mountain fire recognition result and the linkage recognition result comprises:

when the mountain fire identification result and the linkage identification result both comprise the existence of the mountain fire phenomenon, outputting first alarm information of the mountain fire phenomenon, wherein the first alarm information comprises a mountain fire risk prompt as a first-level risk;

when the mountain fire identification result comprises the existence of a mountain fire phenomenon and the linkage identification result comprises a first result of unidentified mountain fire phenomenon, outputting second alarm information of the mountain fire phenomenon, wherein the second alarm information comprises a prompt that a mountain fire risk is a second-level risk, and the first result comprises that the target monitoring data is not acquired;

when the mountain fire identification result comprises the existence of the mountain fire phenomenon and the linkage identification result comprises a second result which does not identify the mountain fire phenomenon, outputting third alarm information of the mountain fire phenomenon, wherein the third alarm information comprises a third-level risk prompting that the mountain fire risk is the third-level risk, and the second result is the collection of the target monitoring data but does not identify the mountain fire phenomenon;

wherein the first level risk is greater than the second level risk, which is greater than the third level risk.

5. The method according to claim 3, wherein the outputting the warning information of the mountain fire phenomenon according to the mountain fire recognition result and the linkage recognition result comprises:

when the mountain fire identification result and the linkage identification result both comprise the existence of the mountain fire phenomenon, outputting fourth alarm information of the mountain fire phenomenon, wherein the fourth alarm information comprises a prompt that the mountain fire risk is a first-level risk;

when the mountain fire identification result comprises the existence of the mountain fire phenomenon and the linkage identification result comprises a third result which does not identify the mountain fire phenomenon, outputting fifth alarm information of the mountain fire phenomenon, wherein the fifth alarm information comprises a prompt that the mountain fire risk is a second-level risk, and the third result is that the satellite equipment is shielded by a cloud layer or a mountain body;

and when the mountain fire identification result comprises the existence of the mountain fire phenomenon and the linkage identification result comprises a fourth result of unidentified mountain fire phenomenon, outputting fourth alarm information of the mountain fire phenomenon, wherein the fourth alarm information comprises a prompt for operation and maintenance personnel to verify an image video.

6. The method according to claim 5, wherein when the target recognition result is that there is a mountain fire phenomenon and the linkage recognition result includes a third result that there is no mountain fire phenomenon recognized, the method further comprises:

updating the preset pixel brightness temperature threshold value by using the current pixel brightness temperature value;

determining the linkage identification result by using the updated pixel brightness temperature threshold value and the current pixel brightness temperature value;

if the linkage identification result comprises that the mountain fire phenomenon is identified, outputting fifth alarm information of the mountain fire phenomenon, and updating a mountain fire threshold library of the first mountain fire identification algorithm, wherein the fifth alarm information comprises a prompt that the mountain fire risk is a second-level risk;

and if the linkage identification result comprises a fourth result that the mountain fire phenomenon is not identified, continuously outputting the fourth alarm information.

7. The method according to claim 1, wherein the acquiring of the environmental data of the target forest fire detection scene acquired by the acquisition device in real time further comprises:

acquiring first sample data of historical fire conditions of the target forest fire detection scene, wherein the first sample data at least comprises historical fire point information of the historical fire conditions and historical satellite remote sensing data;

performing mountain fire brightness and temperature analysis based on the historical fire point information and historical satellite remote sensing data, and determining an initial mountain fire threshold database;

constructing a first mountain fire identification algorithm according to the initial mountain fire threshold library;

acquiring second sample data of historical fire conditions of the target forest fire detection scene, wherein the second sample data at least comprises historical forest fire image data;

and training based on the historical mountain fire image data and a deep learning model, and constructing a second mountain fire recognition algorithm.

8. A mountain fire warning device, characterized in that the device comprises:

a data acquisition module: the system comprises a data acquisition device, a data acquisition device and a video monitoring device, wherein the data acquisition device is used for acquiring environmental data of a target forest fire detection scene acquired by the data acquisition device in real time, the data acquisition device at least comprises a satellite device and the video monitoring device, the environmental data acquired by the satellite device is satellite remote sensing data, and the environmental data acquired by the video monitoring device is monitoring video data;

mountain fire identification module: the satellite remote sensing data and a preset first mountain fire recognition algorithm are used for carrying out mountain fire recognition, the monitoring video data and a preset second mountain fire recognition algorithm are used for carrying out mountain fire recognition, a target recognition result of the target mountain fire detection scene is determined, and the target recognition result comprises a corresponding relation between the mountain fire recognition result and the acquisition equipment;

linkage identification module: when the mountain fire identification result comprises the mountain fire phenomenon, controlling target acquisition equipment to perform linked mountain fire identification according to a preset linkage response rule, and determining a linkage identification result of the target mountain fire detection scene, wherein the target acquisition equipment is other acquisition equipment except acquisition equipment corresponding to the mountain fire identification result, and the preset linkage response rule comprises controlling the other acquisition equipment to perform linkage response when the environment data acquired by any acquisition equipment identifies that the mountain fire phenomenon exists in the target mountain fire detection scene, so as to further identify whether the mountain fire phenomenon exists in the target mountain fire detection scene;

an alarm output module: and the alarm information is used for outputting the warning information of the mountain fire phenomenon according to the mountain fire identification result and the linkage identification result.

9. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, causes the processor to carry out the steps of the method according to any one of claims 1 to 7.

10. A computer device comprising a memory and a processor, characterized in that the memory stores a computer program which, when executed by the processor, causes the processor to carry out the steps of the method according to any one of claims 1 to 7.

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