CN115690573A - Base station acceptance method, device, equipment and storage medium - Google Patents
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Abstract
Description
Translated fromChinese技术领域technical field
本发明涉及大数据技术领域，尤其涉及一种基站验收方法、装置、设备及存储介质。The present invention relates to the field of big data technology, in particular to a base station acceptance method, device, equipment and storage medium.
背景技术Background technique
通信基站必须通过工程质检验收环节方能入网，传统的基站验收方式主要依赖人工操作完成，需要协调运营商工程监理、代维、厂商、工程施工方等四方人员到现场共同参与验收，人员上站成本高，协调难，导致验收效率低。Communication base stations must pass the engineering quality inspection and acceptance link before they can be connected to the network. The traditional base station acceptance method mainly relies on manual operations. The site cost is high and coordination is difficult, resulting in low acceptance efficiency.
发明内容Contents of the invention
本发明的主要目的在于提供一种基站验收方法、装置、设备及存储介质，旨在解决现有技术中基站验收方式依赖人工操作完成，验收效率低的技术问题。The main purpose of the present invention is to provide a base station acceptance method, device, equipment and storage medium, aiming to solve the technical problems in the prior art that the base station acceptance method relies on manual operations and the acceptance efficiency is low.
为实现上述目的，本发明提供一种基站验收方法，所述基站验收方法包括以下步骤：In order to achieve the above object, the present invention provides a base station acceptance method, the base station acceptance method includes the following steps:
获取通过摄像设备采集的基站中待验收设备的设备图像；Obtain the equipment image of the equipment to be accepted in the base station collected by the camera equipment;
对所述设备图像进行识别得到所述设备图像中的设备信息；Recognizing the device image to obtain device information in the device image;
根据所述设备信息确定所述待验收设备的验收结果。The acceptance result of the equipment to be accepted is determined according to the equipment information.
可选地，所述对所述设备图像进行识别得到所述设备图像中的设备信息的步骤包括：Optionally, the step of identifying the device image to obtain the device information in the device image includes:
以各类所述待验收设备作为检测对象对所述设备图像进行物体检测得到检测结果，将所述检测结果作为所述设备图像中的设备信息，其中，所述检测结果包括所述设备图像中各类所述待验收设备的数量；Using various types of equipment to be accepted as detection objects to perform object detection on the equipment image to obtain detection results, and use the detection results as equipment information in the equipment image, wherein the detection results include The quantity of various types of equipment to be accepted;
所述根据所述设备信息确定所述待验收设备的验收结果的步骤包括：The step of determining the acceptance result of the equipment to be accepted according to the equipment information includes:
根据所述设备信息确定所述设备图像中各类所述待验收设备的数量是否与预设数量一致；determining whether the quantity of each type of equipment to be checked and accepted in the equipment image is consistent with the preset quantity according to the equipment information;
若所述设备图像中各类所述待验收设备的数量与所述预设数量不一致，则得到所述待验收设备不合格的验收结果。If the quantity of each type of equipment to be checked and accepted in the equipment image is inconsistent with the preset quantity, an acceptance result that the equipment to be checked and accepted is unqualified is obtained.
可选地，所述检测结果还包括所述设备图像中存在的待验收设备在所述设备图像中的位置信息，所述根据所述设备信息确定所述设备图像中各类所述待验收设备的数量是否与预设数量一致的步骤之后，还包括：Optionally, the detection result further includes the position information of the equipment to be accepted in the equipment image in the equipment image, and the determination of various types of the equipment to be accepted in the equipment image according to the equipment information After the step of whether the quantity is consistent with the preset quantity, it also includes:
若所述设备图像中各类所述待验收设备的数量与所述预设数量一致，则根据所述设备信息中的位置信息确定所述设备图像中待验收设备之间的位置关系是否与预设位置关系一致；If the number of various types of equipment to be checked and accepted in the equipment image is consistent with the preset number, determine whether the positional relationship between the equipment to be checked and accepted in the equipment image is consistent with the preset number according to the location information in the equipment information. Set the positional relationship to be consistent;
若所述设备图像中待验收设备之间的位置关系与所述预设位置关系不一致，则得到所述待验收设备不合格的验收结果。If the positional relationship between the devices to be checked and accepted in the device image is inconsistent with the preset positional relationship, an acceptance result that the device to be checked and accepted is unqualified is obtained.
可选地，所述待验收设备包括所述基站中的天线设备，所述对所述设备图像进行识别得到所述设备图像中的设备信息的步骤包括：Optionally, the device to be accepted includes an antenna device in the base station, and the step of identifying the device image to obtain device information in the device image includes:
将所述天线设备作为识别对象对所述设备图像进行识别得到所述设备图像中的天线设备轮廓，将所述天线设备轮廓作为所述设备图像中的设备信息；Using the antenna device as an identification object to identify the device image to obtain an antenna device profile in the device image, and use the antenna device profile as device information in the device image;
所述根据所述设备信息确定所述待验收设备的验收结果的步骤包括：The step of determining the acceptance result of the equipment to be accepted according to the equipment information includes:
对所述天线设备轮廓中一侧边在所述设备图像上对应的像素点进行直线拟合得到侧边直线；performing straight line fitting on the pixel points corresponding to one side in the outline of the antenna device on the device image to obtain a side straight line;
根据所述侧边直线的斜率计算得到所述天线设备在所述设备图像中的视觉下倾角；calculating a visual downtilt of the antenna device in the device image according to the slope of the side straight line;
根据所述视觉下倾角确定所述天线设备相对于地面的相对下倾角，将所述相对下倾角作为对所述天线设备的验收结果。Determine the relative downtilt angle of the antenna device relative to the ground according to the visual downtilt angle, and use the relative downtilt angle as an acceptance result of the antenna device.
可选地，所述设备图像包括通过摄像设备水平环绕所述天线设备以不同环绕角度拍摄得到的多张设备图像，所述根据所述视觉下倾角确定所述天线设备相对于地面的相对下倾角的步骤包括：Optionally, the device image includes a plurality of device images taken by a camera device horizontally surrounding the antenna device at different angles, and the relative downtilt angle of the antenna device relative to the ground is determined according to the visual downtilt angle The steps include:
确定各所述设备图像对应的所述视觉下倾角随环绕角度变化的振幅；determining the amplitude of the visual dip corresponding to each of the device images as a function of the surround angle;
根据所述振幅计算得到所述天线设备相对于地面的相对下倾角。The relative downtilt angle of the antenna device relative to the ground is calculated according to the amplitude.
可选地，所述对所述天线设备轮廓中一侧边在所述设备图像上对应的像素点进行直线拟合得到侧边直线的步骤包括：Optionally, the step of performing straight line fitting on the corresponding pixel points of a side in the antenna device outline on the device image to obtain a side straight line includes:
将所述天线设备轮廓中一侧边在所述设备图像中的图像坐标映射至像素坐标系，得到所述侧边在设备图像上对应的像素点；mapping the image coordinates of one side of the antenna device outline in the device image to a pixel coordinate system to obtain the corresponding pixel points of the side on the device image;
将各所述像素点进行直线拟合得到侧边直线。Each pixel point is fitted with a straight line to obtain a side straight line.
可选地，所述获取通过摄像设备采集的基站中待验收设备的设备图像的步骤包括：Optionally, the step of acquiring the device image of the device to be accepted in the base station collected by the camera device includes:
获取通过摄像设备采集的基站中待验收设备的视频流数据；Obtain the video stream data of the equipment to be accepted in the base station collected by the camera equipment;
对所述视频流数据进行抽帧得到关键帧，将所述关键帧作为设备图像。Frame extraction is performed on the video stream data to obtain a key frame, and the key frame is used as a device image.
为实现上述目的，本发明还提供一种基站验收装置，所基站验收装置包括：In order to achieve the above object, the present invention also provides a base station acceptance device, the base station acceptance device includes:
获取模块，用于获取通过摄像设备采集的基站中待验收设备的设备图像；The acquisition module is used to acquire the equipment image of the equipment to be accepted in the base station collected by the camera equipment;
识别模块，用于对所述设备图像进行识别得到所述设备图像中的设备信息；An identification module, configured to identify the device image to obtain device information in the device image;
确定模块，用于根据所述设备信息确定所述待验收设备的验收结果。A determination module, configured to determine the acceptance result of the equipment to be accepted according to the equipment information.
为实现上述目的，本发明还提供一种基站验收设备，所述基站验收设备包括：存储器、处理器及存储在所述存储器上并可在所述处理器上运行的基站验收程序，所述基站验收程序被所述处理器执行时实现如上所述的基站验收方法的步骤。In order to achieve the above object, the present invention also provides a base station acceptance device, which includes: a memory, a processor, and a base station acceptance program stored in the memory and operable on the processor, the base station When the acceptance program is executed by the processor, the above-mentioned steps of the base station acceptance method are implemented.
此外，为实现上述目的，本发明还提出一种计算机可读存储介质，所述计算机可读存储介质上存储有基站验收程序，所述基站验收程序被处理器执行时实现如上所述的基站验收方法的步骤。In addition, in order to achieve the above object, the present invention also proposes a computer-readable storage medium, the computer-readable storage medium stores a base station acceptance program, and when the base station acceptance program is executed by a processor, the above-mentioned base station acceptance is realized. method steps.
本发明中，通过获取通过摄像设备采集的基站中待验收设备的设备图像，对设备图像进行图像识别得到图像中的设备信息，根据设备信息确定待验收设备的验收结果，使得验收人员只需要通过摄像设备采集设备图像即可完成自动化基站验收，无需协调各方验收人员上站，大大节省了验收时间，提高了验收效率。In the present invention, by acquiring the equipment image of the equipment to be checked and accepted in the base station collected by the camera equipment, image recognition is performed on the equipment image to obtain the equipment information in the image, and the acceptance result of the equipment to be checked and accepted is determined according to the equipment information, so that the acceptance personnel only need to pass The automatic base station acceptance can be completed by collecting equipment images by the camera equipment, and there is no need to coordinate the acceptance personnel of all parties to go to the station, which greatly saves the acceptance time and improves the acceptance efficiency.
附图说明Description of drawings
图1为本发明基站验收方法第一实施例的流程示意图；FIG. 1 is a schematic flow chart of a first embodiment of a base station acceptance method according to the present invention;
图2为本发明实施例涉及的一种天线设备验收场景示意图；FIG. 2 is a schematic diagram of an antenna device acceptance scenario according to an embodiment of the present invention;
图3为本发明实施例涉及的一种坐标系转换公式；Fig. 3 is a kind of coordinate system transformation formula involved in the embodiment of the present invention;
图4为本发明实施例涉及的一种验收流程示意图；Fig. 4 is a schematic diagram of an acceptance process involved in an embodiment of the present invention;
图5为本发明实施例涉及的一种基站验收系统示意图；FIG. 5 is a schematic diagram of a base station acceptance system according to an embodiment of the present invention;
图6为本发明基站验收装置较佳实施例的功能模块示意图；6 is a schematic diagram of functional modules of a preferred embodiment of the base station acceptance device of the present invention;
图7为本发明实施例方案涉及的硬件运行环境的结构示意图。FIG. 7 is a schematic structural diagram of the hardware operating environment involved in the solution of the embodiment of the present invention.
本发明目的的实现、功能特点及优点将结合实施例，参照附图做进一步说明。The realization of the purpose of the present invention, functional characteristics and advantages will be further described in conjunction with the embodiments and with reference to the accompanying drawings.
具体实施方式Detailed ways
应当理解，此处所描述的具体实施例仅仅用以解释本发明，并不用于限定本发明。It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.
本发明实施例提供了基站验收方法的实施例，需要说明的是，虽然在流程图中示出了逻辑顺序，但是在某些情况下，可以以不同于此处的顺序执行所示出或描述的步骤。The embodiment of the present invention provides an embodiment of the base station acceptance method. It should be noted that although the logic sequence is shown in the flow chart, in some cases, the sequence shown or described can be executed in a sequence different from that shown here. A step of.
参照图1，图1为本发明基站验收方法第一实施例的流程示意图。在本实施例中，本发明基站验收方法执行主体可以是智能手机、个人计算机、服务器等设备，为便于描述，以下以验收系统为执行主体进行各实施例的阐述。Referring to FIG. 1 , FIG. 1 is a schematic flowchart of a first embodiment of a base station acceptance method according to the present invention. In this embodiment, the execution body of the base station acceptance method of the present invention may be a smart phone, a personal computer, a server, and other devices. For the convenience of description, the following uses the acceptance system as the execution body to describe various embodiments.
在本实施例中，所述基站验收方法包括：In this embodiment, the base station acceptance method includes:
步骤S10，获取通过摄像设备采集的基站中待验收设备的设备图像；Step S10, acquiring the device image of the device to be checked and accepted in the base station collected by the camera device;
在本实施例中，对于待验收的基站，可以通过摄像设备采集基站中待验收设备的图像，以下称为设备图像。根据验收条目，通过设置摄像设备的拍摄角度使得设备图像中包含待验收设备的部分或全部外观。可以通过摄像设备直接拍摄照片作为设备图像，也可以通过摄像设备拍摄视频，以视频帧作为设备图像。可以是由人工手持摄像设备进行图像采集，也可以是由安装在无人机上的摄像头设备采集，无论是哪一种方式，均可以由一人操作完成，且该操作员可以不需要具备专业的验收经验和能力，只需按照验收条目拍摄画质清晰、角度合适的照片或视频即可。在一些需要攀爬的地方，例如对天线设备进行验收时，可以采用无人机采集设备图像，以解决人工攀爬危险性高的问题。In this embodiment, for a base station to be checked and accepted, an image of a device to be checked and accepted in the base station may be collected by a camera device, which is referred to as a device image hereinafter. According to the acceptance items, by setting the shooting angle of the camera equipment, the image of the equipment includes part or all of the appearance of the equipment to be accepted. You can directly take a photo through the camera device as the device image, or take a video through the camera device, and use the video frame as the device image. The image can be collected by a hand-held camera device, or by a camera device installed on a drone. Either way, it can be completed by one person, and the operator does not need to have professional acceptance Experience and ability, you only need to take photos or videos with clear quality and appropriate angles according to the acceptance items. In some places where climbing is required, such as when inspecting antenna equipment, drones can be used to collect equipment images to solve the problem of high risk of manual climbing.
待验收设备可以是基站中任意需要验收的设备，例如机房内的硬件设备、机房外的天线设备等，可以是单个设备，也可以是多个设备的组合；验收条目可以包括设备的安装位置、设备种类、设备数量等可以通过人眼观测判断是否合规的条目。The equipment to be accepted can be any equipment in the base station that needs to be accepted, such as hardware equipment in the equipment room, antenna equipment outside the equipment room, etc., it can be a single equipment, or a combination of multiple equipment; acceptance items can include equipment installation location, The type of equipment, the quantity of equipment, and other items that can be judged by human eyes for compliance.
验收系统可以实时或非实时地从摄像设备获取设备图像，实时或非实时地对设备图像进行处理分析得到验收结果。The acceptance inspection system can obtain equipment images from camera equipment in real time or non-real time, and process and analyze equipment images in real time or non-real time to obtain acceptance results.
进一步地，在一实施方式中，所述步骤S10包括：Further, in one embodiment, the step S10 includes:
步骤S101，获取通过摄像设备采集的基站中待验收设备的视频流数据；Step S101, acquiring the video stream data of the equipment to be checked and accepted in the base station collected by the camera equipment;
步骤S102，对所述视频流数据进行抽帧得到关键帧，将所述关键帧作为设备图像。Step S102, frame extraction is performed on the video stream data to obtain a key frame, and the key frame is used as a device image.
可以通过摄像设备采集基站中待验收设备的视频流数据，验收系统获取摄像设备采集的视频流数据，对视频流数据进行抽帧得到关键帧，再将关键帧作为设备图像进行后续的识别。具体地，在一实施方式中，验收设备可以从视频流数据中解析I帧，作为关键帧。其中，I帧是视频流里的关键帧，它是一个全帧压缩的编码帧，所占数据的信息量比较大，解码时只需要本帧数据就可以重构完整图像。I帧是帧组GOP的基础帧(第一帧)，可通过NALU类型进行判断，若(NALU类型&0001 1111)＝5，则该帧为I帧；I帧描述了图像背景和运动主体的详情，是P帧和B帧的参考帧，其质量直接影响到同组中以后各帧的质量。在其他实施方式中，验收系统可以将视频流数据中的各视频帧中抽取清晰度在一定清晰度以上的视频帧作为关键帧，以提高后续图像识别的准确度。The video stream data of the equipment to be accepted in the base station can be collected by the camera equipment. The acceptance system obtains the video stream data collected by the camera equipment, extracts frames from the video stream data to obtain key frames, and then uses the key frames as device images for subsequent identification. Specifically, in an implementation manner, the acceptance device may parse the I frame from the video stream data as a key frame. Among them, the I frame is a key frame in the video stream, which is a full-frame compressed coded frame, which occupies a relatively large amount of data information. When decoding, only the data of this frame is needed to reconstruct the complete image. The I frame is the basic frame (first frame) of the frame group GOP, which can be judged by the NALU type, if (NALU type&0001 1111)=5, then the frame is an I frame; the I frame describes the details of the image background and the moving subject , is the reference frame of P frame and B frame, and its quality directly affects the quality of subsequent frames in the same group. In other implementation manners, the acceptance inspection system may extract video frames with a resolution higher than a certain resolution among the video frames in the video stream data as key frames, so as to improve the accuracy of subsequent image recognition.
步骤S20，对所述设备图像进行识别得到所述设备图像中的设备信息；Step S20, identifying the device image to obtain device information in the device image;
验收系统在获取到设备图像后，可以对设备图像进行识别得到设备图像中的设备信息。具体地，预先可以设置从设备图像中识别得到的设备信息的信息类型，根据待验收设备的类型不同或根据验收条目不同，可以设置不同的信息类型。例如，当验收条目是设备种类时，设备信息的信息类型可设置为能够表征设备图像中所出现的设备种类的信息类型。又如，当待验收设备的类型是机房外的天线设备，验收条目是天线设备的下倾角时，设备信息的信息类型可设置为能够表征设备图像中天线设备轮廓的信息类型。又如，当待验收设备的类型是机房内安装的线缆(也可以视为一种设备)，验收条目是线缆布局时，设备信息的信息类型可以设置为能够表征设备图像中线缆位置的信息类型。需要说明的是，设备信息的信息类型设置得不同，验收系统所采用的图像识别算法也不同，在本实施例中，图像识别算法可以采用任何能够获得相应类型的设备信息的现有算法，对此并不做限制。After the acceptance system acquires the device image, it can identify the device image to obtain the device information in the device image. Specifically, the information type of the device information identified from the device image can be set in advance, and different information types can be set according to different types of devices to be checked or different check items. For example, when the acceptance item is a device type, the information type of the device information may be set as an information type capable of representing the type of device appearing in the device image. For another example, when the type of the equipment to be accepted is antenna equipment outside the computer room, and the acceptance item is the downtilt angle of the antenna equipment, the information type of the equipment information can be set as the information type that can characterize the outline of the antenna equipment in the equipment image. For another example, when the type of the equipment to be accepted is a cable installed in the computer room (which can also be regarded as a kind of equipment), and the acceptance item is the cable layout, the information type of the equipment information can be set to be able to represent the position of the cable in the equipment image type of information. It should be noted that the information type of the equipment information is set differently, and the image recognition algorithm adopted by the acceptance inspection system is also different. In this embodiment, the image recognition algorithm can use any existing algorithm that can obtain the corresponding type of equipment information. This is not a limitation.
进一步地，在一实施方式中，验收系统中可预先设置多种待验收的设备类型，每种设备类型对应的验收条目，以及每个验收条目需采用的图像识别算法和应当输出的信息类型，验收系统根据获取到的设备图像，判断该设备图像对应的设备类型，针对该设备类型的各验收条目，分别采用每个验收条目对应的图像识别算法对设备图像进行图像识别，得到该验收条目对应信息类型的设备信息。进一步地，验收人员在向验收系统上传设备图像时，可以备注该设备图像对应的设备类型，或进一步还可选择该设备图像对应的验收条目，验收系统根据验收人员备注或设置的信息，即可确定设备图像对应的设备类型和验收条目。Further, in one embodiment, multiple types of equipment to be accepted can be preset in the acceptance system, the acceptance items corresponding to each type of equipment, and the image recognition algorithm to be used for each acceptance item and the type of information that should be output, The acceptance inspection system judges the equipment type corresponding to the equipment image based on the acquired equipment image, and uses the image recognition algorithm corresponding to each acceptance item to perform image recognition on the equipment image for each acceptance item of the equipment type, and obtains the corresponding Device information of type info. Further, when the acceptance personnel upload the equipment image to the acceptance system, they can note the equipment type corresponding to the equipment image, or further select the acceptance item corresponding to the equipment image, and the acceptance system can, according to the information remarked or set by the acceptance personnel, Determine the device type and acceptance items corresponding to the device image.
步骤S30，根据所述设备信息确定所述待验收设备的验收结果。Step S30, determining the acceptance result of the equipment to be accepted according to the equipment information.
验收系统在得到设备图像中的设备信息后，即可根据设备信息确定待验收设备的验收结果。其中，验收结果的形式可以预先根据需要设置，例如，可以是对待验收设备关于验收条目的直接观测记录，如设备类型有哪些、设备数量有多少或设备的安装位置等，也可以是根据直接观测记录进行合规性判断后得到的表示待验收设备在该验收条目上是否合格的结果。需要说明的是，在一些实施方式中，当根据图像识别得到的设备信息可以直接得到符合形式要求的验收结果时，可以不经过计算，直接将设备信息作为验收结果；例如，验收结果的形式设置为直接观测记录时，若图像识别得到的设备信息是图像中出现的设备的类型，则可直接将识别得到的设备类型作为验收结果。在另一些实施方式中，当根据图像识别得到的设备信息不能够直接得到符合形式要求的验收结果时，可以根据设备信息计算得到验收结果；例如，验收结果的形式设置为表征是否合格的结果形式时，若图像识别得到的设备信息是图像中出现的设备的类型，则可将设备类型与预先设置的合规的设备类型进行比较，判断是否一致，若一致则得到待验收设备合格的验收结果，若不一致则得到待验收设备不合格的验收结果。After the acceptance system obtains the equipment information in the equipment image, it can determine the acceptance result of the equipment to be accepted according to the equipment information. Among them, the form of the acceptance result can be set in advance according to the needs, for example, it can be the direct observation record of the acceptance item of the equipment to be accepted, such as the type of equipment, the number of equipment, or the installation location of the equipment, etc., or it can be based on direct observation Record the result obtained after the compliance judgment, indicating whether the equipment to be accepted is qualified on the acceptance item. It should be noted that, in some implementations, when the device information obtained from image recognition can directly obtain the acceptance result that meets the formal requirements, the device information can be directly used as the acceptance result without calculation; for example, the form setting of the acceptance result For direct observation records, if the equipment information obtained by image recognition is the type of equipment appearing in the image, the recognized equipment type can be directly used as the acceptance result. In some other implementations, when the equipment information obtained from image recognition cannot directly obtain the acceptance result that meets the formal requirements, the acceptance result can be calculated according to the equipment information; for example, the form of the acceptance result is set to indicate whether the result is qualified When the device information obtained by image recognition is the type of device appearing in the image, the device type can be compared with the preset compliant device type to determine whether they are consistent. If they are consistent, the acceptance result of the device to be accepted is obtained. , if they are not consistent, the acceptance result of unqualified equipment to be accepted will be obtained.
在本实施例中，通过获取通过摄像设备采集的基站中待验收设备的设备图像，对设备图像进行图像识别得到图像中的设备信息，根据设备信息确定待验收设备的验收结果，使得验收人员只需要通过摄像设备采集设备图像即可完成自动化基站验收，无需协调各方验收人员上站，大大节省了验收时间，提高了验收效率。In this embodiment, by acquiring the equipment image of the equipment to be accepted in the base station collected by the camera equipment, image recognition is performed on the equipment image to obtain the equipment information in the image, and the acceptance result of the equipment to be accepted is determined according to the equipment information, so that the acceptance personnel can only It is necessary to collect equipment images through camera equipment to complete the automatic base station acceptance, and there is no need to coordinate the acceptance personnel of all parties to go to the station, which greatly saves the acceptance time and improves the acceptance efficiency.
基于上述第一实施例，提出本发明基站验收方法第二实施例，在本实施例中，所述步骤S20包括：Based on the first embodiment above, a second embodiment of the base station acceptance method of the present invention is proposed. In this embodiment, the step S20 includes:
步骤S201，以各类所述待验收设备作为检测对象对所述设备图像进行物体检测得到检测结果，将所述检测结果作为所述设备图像中的设备信息，其中，所述检测结果包括所述设备图像中各类所述待验收设备的数量；Step S201, using various types of equipment to be checked and accepted as detection objects to perform object detection on the equipment image to obtain a detection result, and use the detection result as equipment information in the equipment image, wherein the detection result includes the The number of various types of equipment to be accepted in the equipment image;
在本实施例中，待验收设备可以包括多个，也即，验收条目是将多个设备作为一个整体进行检测，此时，可通过调整拍摄角度使得设备图像中包括多个设备。验收系统在获取到设备图像后，以各类待验收设备作为检测对象对设备图像进行物体检测(或称为目标检测)得到检测结果，检测结果包括该设备图像中各类待验收设备的数量，也即通过物体检测判断图像中是否存在各类待验收设备，以及每类待验收设备的数量。验收系统可以将检测结果作为设备图像中的设备信息。In this embodiment, multiple devices to be accepted may be included, that is, multiple devices are detected as a whole for the acceptance item, and at this time, multiple devices may be included in the device image by adjusting the shooting angle. After the acceptance system obtains the equipment image, it uses various equipment to be accepted as detection objects to perform object detection (or target detection) on the equipment image to obtain the detection results. The detection results include the number of various types of equipment to be accepted in the equipment image, That is, through object detection, it is judged whether there are various types of equipment to be accepted in the image, and the number of each type of equipment to be accepted. The acceptance system can use the detection results as device information in the device image.
需要说明的是，作为检测对象的待验收设备可以包括应当出现的设备类型，还可以包括不应当出现的设备类型，也即反例。例如，待验收设备的类型包括应当出现的设备a和b，以及不应当出现的设备c，对图像进行物体检测后，得到图像中存在1个设备a、2个设备b和0个设备c，也即不存在设备c。It should be noted that the equipment to be inspected as the detection object may include types of equipment that should appear, and may also include types of equipment that should not appear, that is, counterexamples. For example, the types of devices to be accepted include devices a and b that should appear, and device c that should not appear. After object detection is performed on the image, it is obtained that there is 1 device a, 2 devices b, and 0 devices c in the image. That is, there is no device c.
物体检测可以采用常规的物体检测算法，例如，R-CNN、Fast R-CNN等，在本实施例中并不做限制。预先可以采集包含各类待验收设备的图像对算法模型进行训练，在验收时，使用训练好的算法模型进行检测；为提高模型的检测准确率，可以针对每个待验收设备采集多张不同拍摄角度、不同清晰度的图像来参与训练。The object detection may adopt conventional object detection algorithms, for example, R-CNN, Fast R-CNN, etc., which are not limited in this embodiment. It is possible to collect images containing various types of equipment to be accepted in advance to train the algorithm model, and use the trained algorithm model for detection during acceptance; in order to improve the detection accuracy of the model, multiple different shots can be collected for each equipment to be accepted Images from different angles and different resolutions are used for training.
所述步骤S30包括：Described step S30 comprises:
步骤S301，根据所述设备信息确定所述设备图像中各类所述待验收设备的数量是否与预设数量一致；Step S301, according to the equipment information, determine whether the number of various types of equipment to be checked and accepted in the equipment image is consistent with the preset number;
验收系统在得到设备图像中的设备信息后，也即，在得到设备图像中各类待验收设备的数量后，即可比对各类待验收设备的数量是否与预设数量一致。其中，预设数量可以是预先设置的各类待验收设备应当出现的数量，例如，设置设备a应当有2个，设备b应当有3个，设备c应当有0个(也即不应当存在设备c)。验收系统将每类待验收设备的数量与该类待验收设备对应的预设数量进行比对，判断是否相同；若存在至少一类待验收设备的数量与对应的预设数量不同，则确定设备图像中各类待验收设备的数量与预设数量不一致；若各类待验收设备的数量都与对应的预设数量相同，则确定设备图像中各类待验收设备的数量与预设数量一致。或者，在其他实施方式中，根据验收条目的合规性条件，也可以是设置当各类待验收设备的数量都与对应的预设数量不同时，才确定设备图像中各类待验收设备的数量与预设数量不一致。After the acceptance system obtains the equipment information in the equipment image, that is, after obtaining the number of various types of equipment to be accepted in the equipment image, it can compare whether the number of various types of equipment to be checked is consistent with the preset number. Among them, the preset number can be the number of various types of equipment to be accepted in advance. For example, there should be 2 equipment a, 3 equipment b, and 0 equipment c (that is, no equipment c). The acceptance system compares the quantity of each type of equipment to be accepted with the preset quantity corresponding to the equipment to be checked and judges whether they are the same; if there is at least one type of equipment to be checked and the quantity is different from the corresponding preset quantity, then the The number of various types of equipment to be checked and accepted in the image is inconsistent with the preset number; if the number of various types of equipment to be checked and accepted is the same as the corresponding preset number, it is determined that the number of various types of equipment to be checked and accepted in the equipment image is consistent with the preset number. Or, in other implementations, according to the compliance conditions of the acceptance items, it can also be set that when the number of each type of equipment to be accepted is different from the corresponding preset number, the number of each type of equipment to be accepted in the equipment image is determined. Quantity does not match preset quantity.
步骤S302，若所述设备图像中各类所述待验收设备的数量与所述预设数量不一致，则得到所述待验收设备不合格的验收结果。Step S302, if the number of each type of equipment to be checked and accepted in the equipment image is inconsistent with the preset number, an acceptance result that the equipment to be checked and accepted is unqualified is obtained.
若验收系统确定设备图像中各类待验收设备的数量与预设数量不一致，则验收系统可以确定待验收设备不合格，也即，得到待验收设备不合格的验收结果。If the acceptance system determines that the number of various types of equipment to be checked in the equipment image is inconsistent with the preset number, the acceptance system can determine that the equipment to be checked is unqualified, that is, obtain an acceptance result that the equipment to be checked is unqualified.
进一步地，在一实施方式中，如果合规性条件是设备图像中各类待验收设备的数量与预设数量一致即可确定符合规定，那么，当验收系统在确定设备图像中各类待验收设备的数量与预设数量一致时，即可得到待验收设备合格的验收结果。Further, in one embodiment, if the compliance condition is that the number of various types of equipment to be accepted in the equipment image is consistent with the preset number, it can be determined that the regulations are met, then when the acceptance system determines that the number of various types of equipment to be accepted in the equipment image When the quantity of equipment is consistent with the preset quantity, the acceptance result of the equipment to be accepted can be obtained.
在本实施例中，通过以各类待验收设备为检测对象对设备图像进行物体检测，得到包括设备图像中各类待验收设备的数量的检测结果，进而根据检测结果判断设备图像中各类待验收设备的数量是否合规，若不合规，则得到验收不合格的验收结果，实现了通过基于人工智能技术的物体检测算法，对基站的各类设备进行数量合规性的自动检测，相比于人工肉眼排查，极大地提高了验收效率。In this embodiment, by using various types of equipment to be checked and accepted as detection objects to perform object detection on the equipment image, the detection results including the number of various types of equipment to be accepted in the equipment image are obtained, and then according to the detection results, the various types of equipment to be accepted in the equipment image are judged. Check whether the quantity of the accepted equipment complies with the regulations. If not, the acceptance result of unqualified acceptance is obtained. Through the object detection algorithm based on artificial intelligence technology, the automatic detection of the quantity compliance of various equipment in the base station is realized. Compared with manual visual inspection, it greatly improves the acceptance efficiency.
进一步地，在一实施方式中，所述步骤S301之后，还包括：Further, in an implementation manner, after the step S301, it also includes:
步骤S303，若所述设备图像中各类所述待验收设备的数量与所述预设数量一致，则根据所述设备信息中的位置信息确定所述设备图像中待验收设备之间的位置关系是否与预设位置关系一致；Step S303, if the number of each type of equipment to be checked and accepted in the equipment image is consistent with the preset number, then determine the positional relationship between the equipment to be checked and accepted in the equipment image according to the location information in the equipment information Whether it is consistent with the preset position relationship;
验收设备对设备图像进行物体检测得到的检测结果还可以包括设备图像中存在的各个待验收设备在设备图像中的位置信息。位置信息可以采用设备图像中的像素坐标来表示，具体地，可以以一个像素点表示待验收设备在设备图像中的位置，也可以以一个像素区间表示待验收设备在设备图像中的位置。The detection result obtained by the acceptance device performing object detection on the device image may also include position information in the device image of each device to be accepted in the device image. The position information can be represented by pixel coordinates in the device image. Specifically, the position of the device to be accepted in the device image can be represented by a pixel, or the position of the device to be accepted in the device image can be represented by a pixel interval.
当设备图像中各类待验收设备的数量与预设数量一致，且待验收设备之间的位置关系需要满足特定的位置关系要求才能确定符合规定时，验收系统可以在确定设备图像中各类待验收设备的数量与预设数量一致后，进一步地确定设备图像中待验收设备之间的位置关系是否与预设位置关系一致。When the number of various types of equipment to be accepted in the equipment image is consistent with the preset number, and the positional relationship between the equipment to be accepted needs to meet the specific positional relationship requirements to determine compliance with the regulations, the acceptance system can determine the various types of equipment to be accepted in the equipment image. After the number of accepted devices is consistent with the preset number, it is further determined whether the positional relationship between the devices to be accepted in the device image is consistent with the preset positional relationship.
具体地，检测结果中包括了设备图像中各类待验收设备的数量，也包括了在设备图像中出现的各个待验收设备的位置，因此，验收系统可以确定设备图像中出现的每个待验收设备的类型和位置。预设位置关系可以根据合规性条件进行设置。具体预设位置关系可以是包括每两个待验收设备之间应当符合的位置关系；对应地，验收系统可以根据检测结果确定设备图像中每两个待验收设备之间的位置关系，分别与该两个待验收设备之间应当符合的位置关系进行比较，若每两个待验收设备之间的位置关系都符合应当符合的位置关系，则确定待验收设备之间的位置关系与预设位置关系一致，否则，确定待验收设备之间的位置关系与预设位置关系不一致。或者，预设位置关系也可以只包括特定多个待验收设备两两之间应当符合的位置关系；对应地，验收系统可以根据检测结果确定特定多个待验收设备两两之间的位置关系，分别与该两个待验收设备之间应当符合的位置关系进行比较，若两两之间的位置关系都符合应当符合的位置关系，则确定待验收设备之间的位置关系与预设位置关系一致，否则，确定待验收设备之间的位置关系与预设位置关系不一致。Specifically, the detection result includes the number of various types of equipment to be accepted in the equipment image, and also includes the location of each equipment to be accepted in the equipment image. Therefore, the acceptance system can determine that each equipment to be accepted in the equipment image The type and location of the equipment. Preset positional relationships can be set based on compliance conditions. The specific preset positional relationship may include the positional relationship that should be met between every two devices to be checked and accepted; correspondingly, the acceptance system can determine the positional relationship between every two devices to be checked and accepted in the device image according to the detection results, and respectively match the positional relationship between the two devices to be checked and accepted. Compare the positional relationship between the two devices to be checked and accepted, and if the positional relationship between each two devices to be checked and accepted is in line with the positional relationship that should be met, then determine the positional relationship between the devices to be checked and accepted and the preset positional relationship Otherwise, it is determined that the positional relationship between the devices to be accepted is not consistent with the preset positional relationship. Alternatively, the preset positional relationship may only include the positional relationship that should be met between two specific devices to be accepted; correspondingly, the acceptance system may determine the positional relationship between two specific devices to be accepted according to the detection results, Compare with the positional relationship that should be met between the two equipments to be checked and accepted respectively, if the positional relationship between the two equipments conforms to the positional relationship that should be met, it is determined that the positional relationship between the equipments to be checked and accepted is consistent with the preset positional relationship , otherwise, it is determined that the positional relationship between the devices to be accepted is inconsistent with the preset positional relationship.
进一步地，两个待验收设备之间应当符合的位置关系可以根据合规性条件设置，例如其中一个待验收设备必须在另一个待验收设备的上方，那么验收系统可以通过比对两个待验收设备在图像上的坐标位置，确定是否符合该上下关系。Further, the positional relationship that should be met between the two devices to be accepted can be set according to compliance conditions, for example, one of the devices to be accepted must be above the other device to be accepted, then the acceptance system can compare the two devices to be accepted The coordinate position of the device on the image determines whether it conforms to the upper-lower relationship.
步骤S304，若所述设备图像中待验收设备之间的位置关系与所述预设位置关系不一致，则得到所述待验收设备不合格的验收结果。Step S304, if the positional relationship between the devices to be checked and accepted in the device image is inconsistent with the preset positional relationship, an acceptance result is obtained that the device to be checked and accepted is unqualified.
若验收系统确定设备图像中待验收设备之间的位置关系与预设位置关系不一致，则可以确定待验收设备不合格，也即，得到待验收设备不合格的验收结果。进一步地，在一实施方式中，若验收系统确定设备图像中待验收设备之间的位置关系与预设位置关系一致，则可以确定待验收设备合格，也即，得到待验收设备合格的验收结果。If the acceptance system determines that the positional relationship between the devices to be checked in the device image is inconsistent with the preset positional relationship, it can determine that the device to be checked is unqualified, that is, it can obtain an acceptance result that the device to be checked is unqualified. Further, in one embodiment, if the acceptance system determines that the positional relationship between the equipment to be accepted in the equipment image is consistent with the preset positional relationship, it can determine that the equipment to be accepted is qualified, that is, the acceptance result of the equipment to be accepted as qualified can be obtained .
在本实施例中，通过以各类待验收设备为检测对象对设备图像进行物体检测，得到包括设备图像中待验收设备的位置信息的检测结果，进而根据检测结果判断设备图像中待验收设备之间的位置关系是否合规，若不合规，则得到验收不合格的验收结果，实现了通过基于人工智能技术的物体检测算法，对基站的各类设备的安装位置进行自动检测，相比于人工肉眼排查，极大地提高了验收效率。In this embodiment, by using various types of equipment to be checked and accepted as detection objects to perform object detection on the equipment image, the detection result including the location information of the equipment to be accepted in the equipment image is obtained, and then the position of the equipment to be accepted in the equipment image is judged according to the detection result. Whether the positional relationship between them is compliant, if not, the acceptance result of unqualified acceptance will be obtained, and the object detection algorithm based on artificial intelligence technology can be used to automatically detect the installation positions of various equipment in the base station. Manual visual inspection greatly improves the acceptance efficiency.
进一步地，基于上述第一和/或第二实施例，提出本发明基站验收方法第三实施例，在本实施例中，所述步骤S20包括：Further, based on the above-mentioned first and/or second embodiments, a third embodiment of the base station acceptance method of the present invention is proposed. In this embodiment, the step S20 includes:
步骤S202，将所述天线设备作为识别对象对所述设备图像进行识别得到所述设备图像中的天线设备轮廓，将所述天线设备轮廓作为所述设备图像中的设备信息；Step S202, using the antenna device as an identification object to identify the device image to obtain an antenna device profile in the device image, and use the antenna device profile as device information in the device image;
在本实施例中，待验收设备可以包括基站中的天线设备，如有源天线设备AAU。验收条目可以包括天线设备的下倾角。天线设备一般安装在较高处，在本实施例中，可以通过无人机飞行至与天线设备水平的高度拍摄天线设备的设备图像。In this embodiment, the device to be checked may include an antenna device in the base station, such as an active antenna device AAU. Acceptance items may include the downtilt angle of the antenna device. The antenna device is generally installed at a higher place. In this embodiment, the device image of the antenna device can be taken by flying the drone to a height level with the antenna device.
具体地，验收系统可以将天线设备作为识别对象对设备图像进行识别得到设备图像中的天线设备轮廓。具体地，可以采用图像分割算法，例如金字塔图像分割算法对图像进行分割得到图像中天线设备所在的区域，区域外沿即天线设备轮廓。或者，也可以采用图像语义分割算法，将天线设备作为目标类别，预测设备图像中各个像素点是否属于目标类别，将属于目标类型的像素点作为天线设备所在区域，将区域外沿作为天线设备轮廓。Specifically, the acceptance inspection system may use the antenna device as an identification object to identify the device image to obtain the outline of the antenna device in the device image. Specifically, an image segmentation algorithm, such as a pyramid image segmentation algorithm, may be used to segment the image to obtain the area where the antenna device is located in the image, and the outer edge of the area is the outline of the antenna device. Alternatively, the image semantic segmentation algorithm can also be used, using the antenna device as the target category, predicting whether each pixel in the device image belongs to the target category, using the pixel points belonging to the target type as the area where the antenna device is located, and using the outer edge of the area as the outline of the antenna device .
所述步骤S30包括：Described step S30 comprises:
步骤S305，对所述天线设备轮廓中一侧边在所述设备图像上对应的像素点进行直线拟合得到侧边直线；Step S305, performing straight line fitting on the pixel points corresponding to one side of the antenna device outline on the device image to obtain a side straight line;
验收系统在得到天线设备轮廓后，可以对天线设备轮廓中一侧边在设备图像上对应的像素点进行直线拟合得到侧边直线。需要说明的是，天线设备一般是盒状设备，其轮廓一般为矩形或近似矩形，侧边是指矩形的左右两边，在直线拟合时，可以任取一侧边进行拟合。具体地，侧边在设备图像上对应的像素点有多个，基于各像素点拟合直线的方式有多种，在本实施例中并不做限制，例如可以是选取一条直线使得各个像素点距离该直线的距离之和最小，将该直线作为拟合得到的侧边直线。After the acceptance inspection system obtains the outline of the antenna equipment, it can perform straight line fitting on the pixels corresponding to the side of the antenna equipment outline on the equipment image to obtain the side straight line. It should be noted that the antenna device is generally a box-shaped device, and its outline is generally rectangular or approximately rectangular. The sides refer to the left and right sides of the rectangle. When fitting a straight line, any side can be selected for fitting. Specifically, there are multiple pixels corresponding to the side on the device image, and there are many ways to fit a straight line based on each pixel, which is not limited in this embodiment. For example, a straight line can be selected so that each pixel The sum of the distances from the straight line is the smallest, and the straight line is used as the fitted side straight line.
步骤S306，根据所述侧边直线的斜率计算得到所述天线设备在所述设备图像中的视觉下倾角；Step S306, calculating the visual downtilt angle of the antenna device in the device image according to the slope of the side straight line;
验收系统在拟合得到侧边直线后，可以根据侧边直线计算得到天线设备在设备图像中的下倾角(称为视觉下倾角以示区别)。具体地，可以根据侧边直线的斜率计算得到天线设备在设备图像中的视觉下倾角，例如，斜率为k，则视觉下倾角θ＝arctan(|k|)。或者，可以计算侧边直线与设备图像像素坐标系横轴的夹角得到视觉下倾角。After fitting the side straight line, the acceptance system can calculate the downtilt angle of the antenna device in the device image (called the visual downtilt angle to show the difference) according to the side straight line. Specifically, the visual downtilt angle of the antenna device in the device image can be calculated according to the slope of the side line, for example, if the slope is k, then the visual downtilt angle θ=arctan(|k|). Alternatively, the angle between the side line and the horizontal axis of the device image pixel coordinate system can be calculated to obtain the visual downtilt angle.
步骤S307，根据所述视觉下倾角确定所述天线设备相对于地面的相对下倾角，将所述相对下倾角作为对所述天线设备的验收结果。Step S307, determining a relative downtilt angle of the antenna device relative to the ground according to the visual downtilt angle, and using the relative downtilt angle as an acceptance result of the antenna device.
验收系统在得到视觉下倾角后，可以根据视觉下倾角确定天线设备相对于地面的下倾角(称为相对下倾角以示区别)。具体地，在一实施方式中，当摄像设备是以与天线设备水平平齐的角度拍摄天线设备的侧面，且拍摄得到的设备图像像素坐标系横轴与水平面平行或接近平行时，可以直接将视觉下倾角作为相对下倾角。在其他实施方式中，若拍摄得到的设备图像像素坐标系横坐标轴与水平面不平行时，可以通过摄像设备中的水平仪采集拍摄时刻摄像设备相对于水平面的偏转角度，通过偏转角度对视觉下倾角进行修正，得到天线设备相对于地面的相对下倾角。After the acceptance system obtains the visual downtilt angle, it can determine the downtilt angle of the antenna device relative to the ground according to the visual downtilt angle (called the relative downtilt angle to show the difference). Specifically, in one embodiment, when the imaging device photographs the side of the antenna device at an angle that is level with the antenna device, and the horizontal axis of the pixel coordinate system of the captured device image is parallel or nearly parallel to the horizontal plane, the Visual dip as relative dip. In other embodiments, if the abscissa axis of the pixel coordinate system of the photographed device image is not parallel to the horizontal plane, the deflection angle of the photographing device relative to the horizontal plane at the time of shooting can be collected through the level gauge in the photographing device, and the visual downtilt angle can be affected by the deflection angle. Correction is performed to obtain the relative downtilt angle of the antenna device relative to the ground.
进一步地，在一实施方式中，如图2所示，可以采用摄像设备水平环绕天线设备以不同环绕角度拍摄得到多张设备图像，对各张设备图像分别进行天线设备轮廓识别，根据识别得到的天线设备轮廓计算得到各设备图像中天线设备所在区域的面积，将天线设备所在区域面积最小的设备图像作为从侧面角度拍摄的图像，根据该图像进行直线拟合和视觉下倾角计算，最终得到相对下倾角。Further, in one embodiment, as shown in FIG. 2 , a camera device can be used to horizontally surround the antenna device to capture multiple device images at different surround angles, and perform antenna device contour recognition on each device image, and according to the identified The antenna device profile is calculated to obtain the area of the antenna device in each device image, and the device image with the smallest area of the antenna device is taken as the image taken from the side angle, and the straight line fitting and visual downtilt angle calculation are performed according to the image, and finally the relative Lower inclination.
进一步地，可以采用无人机来环绕天线设备匀速飞行，以一定的时间间隔拍摄照片，或者直接拍摄视频。Further, a drone can be used to fly around the antenna device at a constant speed, take photos at a certain time interval, or directly shoot videos.
进一步地，在一实施方式中，所述步骤S307中根据所述视觉下倾角计算得到所述天线设备相对于地面的相对下倾角的步骤包括：Further, in an embodiment, the step of calculating the relative downtilt angle of the antenna device relative to the ground according to the visual downtilt angle in step S307 includes:
步骤S3071，确定各所述设备图像对应的所述视觉下倾角随环绕角度变化的振幅；Step S3071, determining the amplitude of the visual dip corresponding to each of the device images as a function of the surround angle;
在本实施例中，如图2所示，可通过摄像设备水平环绕所述天线设备以不同环绕角度拍摄得到的多张设备图像，验收系统分别计算得到各张设备图像中天线设备的视觉下倾角，再确定各张设备图像对应的视觉下倾角随着设备图像的环绕角度变化的振幅。具体地，可以选取最大的视觉下倾角和最小的视觉下倾角之间的差值作为振幅。或者当摄像设备环绕天线设备多周时，存在多个视觉下倾角峰值和多个视觉下倾角谷值，计算平均峰值和平均谷值，将平均峰值和平均谷值之间的差值作为振幅。In this embodiment, as shown in Figure 2, multiple equipment images obtained by horizontally surrounding the antenna equipment at different angles can be taken by the camera equipment, and the acceptance system calculates the visual downtilt angle of the antenna equipment in each equipment image respectively , and then determine the amplitude of the visual dip angle corresponding to each device image as it changes with the surrounding angle of the device image. Specifically, the difference between the maximum visual dip angle and the minimum visual dip angle may be selected as the amplitude. Or when the camera device surrounds the antenna device for many times, there are multiple peaks of visual downtilt and multiple valleys of visual downtilt, and the average peak value and average valley value are calculated, and the difference between the average peak value and the average valley value is used as the amplitude.
步骤S3072，根据所述振幅计算得到所述天线设备相对于地面的相对下倾角。Step S3072, calculating the relative downtilt angle of the antenna device relative to the ground according to the amplitude.
在计算得到振幅后，验收系统可以根据振幅计算得到天线设备相对于地面的相对下倾角。具体地，可以取振幅的一半作为相对下倾角，也可以是取振幅的一半后，上下浮动一定角度，得到一个相对下倾角范围。After the amplitude is calculated, the acceptance system can calculate the relative downtilt angle of the antenna device relative to the ground according to the amplitude. Specifically, half of the amplitude may be taken as the relative downtilt, or half of the amplitude may be taken and floated up and down by a certain angle to obtain a relative downtilt range.
预测天线下倾角的过程，存在测不准或取帧误差，且容易受风速、环境、无人机角速度等的影响，本实施例采用了振幅法，消除了风速及无人机角度等实际操作影响。In the process of predicting the downtilt angle of the antenna, there are inaccuracies or frame errors, and it is easily affected by wind speed, environment, and the angular velocity of the drone. Influence.
进一步地，在一实施方式中，所述步骤S305包括：Further, in one embodiment, the step S305 includes:
步骤S3051，将所述天线设备轮廓中一侧边在所述设备图像中的图像坐标映射至像素坐标系，得到所述侧边在设备图像上对应的像素点；Step S3051, mapping the image coordinates of one side of the antenna device outline in the device image to a pixel coordinate system to obtain the corresponding pixel points of the side on the device image;
步骤S3052，将各所述像素点进行直线拟合得到侧边直线。Step S3052, performing straight line fitting on each of the pixel points to obtain a side straight line.
像素坐标系和图像坐标系都在天线图像的成像平面上，只是各自的原点和度量单位不一样。图像坐标系的原点为相机光轴与成像平面的交点，通常情况下是成像平面的中心点。图像坐标系的单位是mm，而像素坐标系的单位是pixel。当通过图像分割算法识别到的天线设备轮廓是采用图像坐标系中的坐标值表示时，可先将天线设备轮廓中一侧边在设备图像中的图像坐标映射至像素坐标系，得到该侧边在设备图像上对应的像素点。得到侧边在设备图像上对应的像素点后，验收系统即可将各个像素点进行直线拟合得到侧边直线。Both the pixel coordinate system and the image coordinate system are on the imaging plane of the antenna image, but their respective origins and measurement units are different. The origin of the image coordinate system is the intersection of the camera optical axis and the imaging plane, usually the center of the imaging plane. The unit of the image coordinate system is mm, while the unit of the pixel coordinate system is pixel. When the antenna device outline recognized by the image segmentation algorithm is represented by coordinate values in the image coordinate system, the image coordinates of one side of the antenna device outline in the device image can be mapped to the pixel coordinate system to obtain the side The corresponding pixel on the device image. After obtaining the corresponding pixels of the side on the device image, the acceptance inspection system can fit each pixel to a straight line to obtain a side line.
像素坐标系和图像坐标系中坐标值的转换规则可如图3所示，其中dx和dy表示每一列和每一行分别代表多少mm，即1pixel＝dx mm。u0、v0分别是图像坐标系的中心点横坐标和纵坐标；R为3X3正交矩阵；T为三维平移向量。The conversion rules of the coordinate values in the pixel coordinate system and the image coordinate system can be shown in Figure 3, where dx and dy indicate how many mm each column and row respectively represent, that is, 1pixel=dx mm. u0 and v0 are the abscissa and ordinate of the center point of the image coordinate system respectively; R is a 3X3 orthogonal matrix; T is a three-dimensional translation vector.
进一步地，在一实施方式中，基站验收的流程可如图4所示。在验收系统中派发验收任务给在站工程师，在站工程师执行验收任务，也即通过手持终端APP或无人机拍摄验收任务中规定的待验收设备，将拍摄得到的图像或视频回传至验收系统。验收系统获取到图像或视频后，对图像或视频帧进行物体检测和AI智能分析，并自动审核合规性，得到验收结果；若验收通过，则完成验收；若验收未通过，则通知在站工程师进行整改。本实施例提出了一套基站智能验收系统，通过全流程人机高效协作，实现远程实时验收以及基站数据信息化管理。进一步地，验收系统可以根据在站工程师的客户端APP获取在站工程师的地理位置信息；根据地理位置信息在客户端APP中限制可选的待验收站点，也即，仅将处于该地理位置信息对应区域的站点作为可选的待验收站点；在站工程师在其客户端APP上选择待验收站点，并通过APP将采集的该站点的图像或视频数据上传至验收系统；通过利用地理位置信息，在验收APP上限制待验收站点的选择，确保上传的图像视频信息与实际验收站点一致。Further, in an implementation manner, the process of checking and accepting the base station may be as shown in FIG. 4 . In the acceptance system, the acceptance task is dispatched to the on-site engineer, and the on-site engineer performs the acceptance task, that is, through the handheld terminal APP or drone to shoot the equipment to be accepted in the acceptance task, and send the captured image or video back to the acceptance system. After the acceptance inspection system acquires the image or video, it performs object detection and AI intelligent analysis on the image or video frame, and automatically checks the compliance to obtain the acceptance result; if the acceptance is passed, the acceptance is completed; if the acceptance is not passed, the station is notified Engineers make corrections. This embodiment proposes a base station intelligent acceptance system, which realizes remote real-time acceptance and base station data information management through efficient human-machine cooperation throughout the process. Further, the acceptance system can obtain the geographic location information of the on-site engineer according to the client APP of the on-site engineer; according to the geographic location information, limit the optional sites to be accepted in the client APP, that is, only the location information The site in the corresponding area is an optional site to be accepted; the on-site engineer selects the site to be accepted on its client APP, and uploads the collected image or video data of the site to the acceptance system through the APP; by using the geographical location information, Limit the selection of sites to be accepted on the acceptance APP to ensure that the uploaded image and video information is consistent with the actual acceptance site.
进一步地，在一实施方式中，如图5所示为一种基站验收系统。为确保实际验收工作的实时性、高效性、可靠性，结合实际生产需求，提出了一套人机协同的智能验收系统，通过完整的流程设计、标准制定、规则梳理，实现系统的高可用性。该基站验收系统包括高清图像采集部分、5G网络回传部分和云平台AI图像识别部分。通过5G终端控制无人机，采集基站高清图像，通过5G网络实施回传，通过搭建的视频服务器、AI服务器和应用服务器，完成基于高清图像的AI实时验收。Further, in an implementation manner, as shown in FIG. 5 , it is a base station acceptance system. In order to ensure the real-time, high efficiency, and reliability of the actual acceptance work, combined with the actual production needs, a set of human-machine collaborative intelligent acceptance system is proposed. Through the complete process design, standard formulation, and rule sorting, the high availability of the system is realized. The base station acceptance system includes a high-definition image acquisition part, a 5G network backhaul part and a cloud platform AI image recognition part. Control drones through 5G terminals, collect high-definition images of base stations, implement backhaul through 5G networks, and complete AI real-time acceptance based on high-definition images through the built video server, AI server and application server.
此外，本发明实施例还提出一种基站验收装置，参照图6，所述基站验收装置包括：In addition, the embodiment of the present invention also proposes a base station acceptance device. Referring to FIG. 6, the base station acceptance device includes:
获取模块10，用于获取通过摄像设备采集的基站中待验收设备的设备图像；The
识别模块20，用于对所述设备图像进行识别得到所述设备图像中的设备信息；An
确定模块30，用于根据所述设备信息确定所述待验收设备的验收结果。The
进一步地，所述识别模块20包括：Further, the
检测单元，用于以各类所述待验收设备作为检测对象对所述设备图像进行物体检测得到检测结果，将所述检测结果作为所述设备图像中的设备信息，其中，所述检测结果包括所述设备图像中各类所述待验收设备的数量；The detection unit is configured to use various types of devices to be checked and accepted as detection objects to perform object detection on the device image to obtain a detection result, and use the detection result as device information in the device image, wherein the detection result includes The number of various types of equipment to be checked and accepted in the equipment image;
所述确定模块30包括：The
第一确定单元，用于根据所述设备信息确定所述设备图像中各类所述待验收设备的数量是否与预设数量一致；A first determination unit, configured to determine, according to the equipment information, whether the quantity of each type of equipment to be checked and accepted in the equipment image is consistent with a preset quantity;
第二确定单元，用于若所述设备图像中各类所述待验收设备的数量与所述预设数量不一致，则得到所述待验收设备不合格的验收结果。The second determining unit is configured to obtain an acceptance result that the equipment to be checked is unqualified if the quantity of each type of equipment to be checked and accepted in the equipment image is inconsistent with the preset number.
进一步地，所述检测结果还包括所述设备图像中存在的待验收设备在所述设备图像中的位置信息，所述确定模块30还包括：Further, the detection result also includes position information of the device to be accepted in the device image in the device image, and the determining
第三确定单元，用于若所述设备图像中各类所述待验收设备的数量与所述预设数量一致，则根据所述设备信息中的位置信息确定所述设备图像中待验收设备之间的位置关系是否与预设位置关系一致；The third determination unit is configured to determine, according to the location information in the equipment information, the number of the equipment to be checked and accepted in the equipment image if the number of each type of equipment to be checked and accepted in the equipment image is consistent with the preset number. Whether the positional relationship among them is consistent with the preset positional relationship;
第四确定单元，用于若所述设备图像中待验收设备之间的位置关系与所述预设位置关系不一致，则得到所述待验收设备不合格的验收结果。The fourth determining unit is configured to obtain an acceptance result that the equipment to be checked is unqualified if the positional relationship between the equipment to be checked and accepted in the equipment image is inconsistent with the preset positional relationship.
进一步地，所述待验收设备包括所述基站中的天线设备，所述识别模块20包括：Further, the device to be accepted includes the antenna device in the base station, and the
识别单元，用于将所述天线设备作为识别对象对所述设备图像进行识别得到所述设备图像中的天线设备轮廓，将所述天线设备轮廓作为所述设备图像中的设备信息；An identifying unit, configured to identify the device image by using the antenna device as an identification object to obtain an antenna device profile in the device image, and use the antenna device profile as device information in the device image;
所述确定模块30包括：The
拟合单元，用于对所述天线设备轮廓中一侧边在所述设备图像上对应的像素点进行直线拟合得到侧边直线；a fitting unit, configured to perform straight line fitting on the pixel points corresponding to one side of the antenna device profile on the device image to obtain a side straight line;
计算单元，用于根据所述侧边直线的斜率计算得到所述天线设备在所述设备图像中的视觉下倾角；a calculation unit, configured to calculate the visual downtilt of the antenna device in the device image according to the slope of the side straight line;
第五确定单元，用于根据所述视觉下倾角确定所述天线设备相对于地面的相对下倾角，将所述相对下倾角作为对所述天线设备的验收结果。The fifth determining unit is configured to determine a relative downtilt of the antenna device relative to the ground according to the visual downtilt, and use the relative downtilt as an acceptance result of the antenna device.
进一步地，所述设备图像包括通过摄像设备水平环绕所述天线设备以不同环绕角度拍摄得到的多张设备图像，所述第五确定单元包括：Further, the device image includes a plurality of device images taken by a camera device horizontally surrounding the antenna device at different angles, and the fifth determination unit includes:
确定子单元，用于确定各所述设备图像对应的所述视觉下倾角随环绕角度变化的振幅；A determining subunit, configured to determine the amplitude of the visual dip corresponding to each of the device images as it changes with the surround angle;
计算子单元，用于根据所述振幅计算得到所述天线设备相对于地面的相对下倾角。The calculation subunit is used to calculate the relative downtilt angle of the antenna device relative to the ground according to the amplitude.
进一步地，所述拟合单元包括：Further, the fitting unit includes:
映射子单元，用于将所述天线设备轮廓中一侧边在所述设备图像中的图像坐标映射至像素坐标系，得到所述侧边在设备图像上对应的像素点；a mapping subunit, configured to map the image coordinates of a side of the antenna device profile in the device image to a pixel coordinate system to obtain the corresponding pixel points of the side on the device image;
拟合子单元，用于将各所述像素点进行直线拟合得到侧边直线。The fitting subunit is configured to perform straight line fitting on each of the pixel points to obtain a side straight line.
进一步地，所述获取模块10包括：Further, the
获取单元，用于获取通过摄像设备采集的基站中待验收设备的视频流数据；An acquisition unit, configured to acquire the video stream data of the equipment to be accepted in the base station collected by the camera equipment;
抽帧单元，用于对所述视频流数据进行抽帧得到关键帧，将所述关键帧作为设备图像。The frame extraction unit is configured to extract frames from the video stream data to obtain key frames, and use the key frames as device images.
本发明基站验收装置的具体实施方式的拓展内容与上述基站验收方法各实施例基本相同，在此不做赘述。The expanded content of the specific implementation of the base station acceptance device of the present invention is basically the same as the embodiments of the base station acceptance method described above, and will not be repeated here.
如图7所示，图7是本发明实施例方案涉及的硬件运行环境的设备结构示意图。As shown in FIG. 7 , FIG. 7 is a schematic diagram of a device structure of a hardware operating environment involved in the solution of the embodiment of the present invention.
需要说明的是，本发明实施例基站验收设备可以是智能手机、个人计算机和服务器等设备，在此不做具体限制。It should be noted that the base station acceptance device in this embodiment of the present invention may be a smart phone, a personal computer, a server, etc., and no specific limitation is set here.
如图7所示，该基站验收设备可以包括：处理器1001，例如CPU，网络接口1004，用户接口1003，存储器1005，通信总线1002。其中，通信总线1002用于实现这些组件之间的连接通信。用户接口1003可以包括显示屏(Display)、输入单元比如键盘(Keyboard)，可选用户接口1003还可以包括标准的有线接口、无线接口。网络接口1004可选的可以包括标准的有线接口、无线接口(如WI-FI接口)。存储器1005可以是高速RAM存储器，也可以是稳定的存储器(non-volatile memory)，例如磁盘存储器。存储器1005可选的还可以是独立于前述处理器1001的存储装置。As shown in FIG. 7 , the base station acceptance device may include: a
本领域技术人员可以理解，图7中示出的设备结构并不构成对基站验收设备的限定，可以包括比图示更多或更少的部件，或者组合某些部件，或者不同的部件布置。Those skilled in the art can understand that the device structure shown in FIG. 7 does not constitute a limitation on the base station acceptance device, and may include more or less components than those shown in the figure, or combine some components, or arrange different components.
如图7所示，作为一种计算机存储介质的存储器1005中可以包括操作系统、网络通信模块、用户接口模块以及基站验收程序。操作系统是管理和控制设备硬件和软件资源的程序，支持基站验收程序以及其它软件或程序的运行。在图7所示的设备中，用户接口1003主要用于与客户端进行数据通信；网络接口1004主要用于与服务器建立通信连接；而处理器1001可以用于调用存储器1005中存储的基站验收程序，并执行以下操作：As shown in FIG. 7 , the
获取通过摄像设备采集的基站中待验收设备的设备图像；Obtain the equipment image of the equipment to be accepted in the base station collected by the camera equipment;
对所述设备图像进行识别得到所述设备图像中的设备信息；Recognizing the device image to obtain device information in the device image;
根据所述设备信息确定所述待验收设备的验收结果。The acceptance result of the equipment to be accepted is determined according to the equipment information.
进一步地，所述对所述设备图像进行识别得到所述设备图像中的设备信息的步骤包括：Further, the step of identifying the device image to obtain the device information in the device image includes:
以各类所述待验收设备作为检测对象对所述设备图像进行物体检测得到检测结果，将所述检测结果作为所述设备图像中的设备信息，其中，所述检测结果包括所述设备图像中各类所述待验收设备的数量；Using various types of equipment to be accepted as detection objects to perform object detection on the equipment image to obtain detection results, and use the detection results as equipment information in the equipment image, wherein the detection results include The quantity of various types of equipment to be accepted;
所述根据所述设备信息确定所述待验收设备的验收结果的步骤包括：The step of determining the acceptance result of the equipment to be accepted according to the equipment information includes:
根据所述设备信息确定所述设备图像中各类所述待验收设备的数量是否与预设数量一致；determining whether the quantity of each type of equipment to be checked and accepted in the equipment image is consistent with the preset quantity according to the equipment information;
若所述设备图像中各类所述待验收设备的数量与所述预设数量不一致，则得到所述待验收设备不合格的验收结果。If the quantity of each type of equipment to be checked and accepted in the equipment image is inconsistent with the preset quantity, an acceptance result that the equipment to be checked and accepted is unqualified is obtained.
进一步地，所述检测结果还包括所述设备图像中存在的待验收设备在所述设备图像中的位置信息，所述根据所述设备信息确定所述设备图像中各类所述待验收设备的数量是否与预设数量一致的步骤之后，处理器1001还可以用于调用存储器1005中存储的基站验收程序，执行以下操作：Further, the detection result also includes the position information of the equipment to be accepted in the equipment image in the equipment image, and the determination of the various types of the equipment to be accepted in the equipment image according to the equipment information After the step of whether the quantity is consistent with the preset quantity, the
若所述设备图像中各类所述待验收设备的数量与所述预设数量一致，则根据所述设备信息中的位置信息确定所述设备图像中待验收设备之间的位置关系是否与预设位置关系一致；If the number of various types of equipment to be checked and accepted in the equipment image is consistent with the preset number, determine whether the positional relationship between the equipment to be checked and accepted in the equipment image is consistent with the preset number according to the location information in the equipment information. Set the positional relationship to be consistent;
若所述设备图像中待验收设备之间的位置关系与所述预设位置关系不一致，则得到所述待验收设备不合格的验收结果。If the positional relationship between the devices to be checked and accepted in the device image is inconsistent with the preset positional relationship, an acceptance result that the device to be checked and accepted is unqualified is obtained.
进一步地，所述待验收设备包括所述基站中的天线设备，所述对所述设备图像进行识别得到所述设备图像中的设备信息的步骤包括：Further, the device to be accepted includes the antenna device in the base station, and the step of identifying the device image to obtain the device information in the device image includes:
将所述天线设备作为识别对象对所述设备图像进行识别得到所述设备图像中的天线设备轮廓，将所述天线设备轮廓作为所述设备图像中的设备信息；Using the antenna device as an identification object to identify the device image to obtain an antenna device profile in the device image, and use the antenna device profile as device information in the device image;
所述根据所述设备信息确定所述待验收设备的验收结果的步骤包括：The step of determining the acceptance result of the equipment to be accepted according to the equipment information includes:
对所述天线设备轮廓中一侧边在所述设备图像上对应的像素点进行直线拟合得到侧边直线；performing straight line fitting on the pixel points corresponding to one side in the outline of the antenna device on the device image to obtain a side straight line;
根据所述侧边直线的斜率计算得到所述天线设备在所述设备图像中的视觉下倾角；calculating a visual downtilt of the antenna device in the device image according to the slope of the side straight line;
根据所述视觉下倾角确定所述天线设备相对于地面的相对下倾角，将所述相对下倾角作为对所述天线设备的验收结果。Determine the relative downtilt angle of the antenna device relative to the ground according to the visual downtilt angle, and use the relative downtilt angle as an acceptance result of the antenna device.
进一步地，所述设备图像包括通过摄像设备水平环绕所述天线设备以不同环绕角度拍摄得到的多张设备图像，所述根据所述视觉下倾角确定所述天线设备相对于地面的相对下倾角的步骤包括：Further, the device image includes a plurality of device images taken by the camera device horizontally surrounding the antenna device at different angles, and the relative downtilt angle of the antenna device relative to the ground is determined according to the visual downtilt angle. Steps include:
确定各所述设备图像对应的所述视觉下倾角随环绕角度变化的振幅；determining the amplitude of the visual dip corresponding to each of the device images as a function of the surround angle;
根据所述振幅计算得到所述天线设备相对于地面的相对下倾角。The relative downtilt angle of the antenna device relative to the ground is calculated according to the amplitude.
进一步地，所述对所述天线设备轮廓中一侧边在所述设备图像上对应的像素点进行直线拟合得到侧边直线的步骤包括：Further, the step of performing straight line fitting on the corresponding pixel points of a side in the antenna device outline on the device image to obtain a side straight line includes:
将所述天线设备轮廓中一侧边在所述设备图像中的图像坐标映射至像素坐标系，得到所述侧边在设备图像上对应的像素点；mapping the image coordinates of one side of the antenna device outline in the device image to a pixel coordinate system to obtain the corresponding pixel points of the side on the device image;
将各所述像素点进行直线拟合得到侧边直线。Each pixel point is fitted with a straight line to obtain a side straight line.
进一步地，所述获取通过摄像设备采集的基站中待验收设备的设备图像的步骤包括：Further, the step of acquiring the device image of the device to be accepted in the base station collected by the camera device includes:
获取通过摄像设备采集的基站中待验收设备的视频流数据；Obtain the video stream data of the equipment to be accepted in the base station collected by the camera equipment;
对所述视频流数据进行抽帧得到关键帧，将所述关键帧作为设备图像。Frame extraction is performed on the video stream data to obtain a key frame, and the key frame is used as a device image.
此外，本发明实施例还提出一种计算机可读存储介质，所述存储介质上存储有基站验收程序，所述基站验收程序被处理器执行时实现如下所述的基站验收方法的步骤。In addition, an embodiment of the present invention also provides a computer-readable storage medium, where a base station acceptance program is stored on the storage medium, and when the base station acceptance program is executed by a processor, the steps of the base station acceptance method described below are implemented.
本发明基站验收设备和计算机可读存储介质各实施例，均可参照本发明基站验收方法和装置的各个实施例，此处不再赘述。The various embodiments of the base station acceptance equipment and the computer-readable storage medium of the present invention can refer to the various embodiments of the base station acceptance method and device of the present invention, which will not be repeated here.
需要说明的是，在本文中，术语“包括”、“包含”或者其任何其他变体意在涵盖非排他性的包含，从而使得包括一系列要素的过程、方法、物品或者装置不仅包括那些要素，而且还包括没有明确列出的其他要素，或者是还包括为这种过程、方法、物品或者装置所固有的要素。在没有更多限制的情况下，由语句“包括一个……”限定的要素，并不排除在包括该要素的过程、方法、物品或者装置中还存在另外的相同要素。It should be noted that, in this document, the term "comprising", "comprising" or any other variation thereof is intended to cover a non-exclusive inclusion such that a process, method, article or apparatus comprising a set of elements includes not only those elements, It also includes other elements not expressly listed, or elements inherent in the process, method, article, or device. Without further limitations, an element defined by the phrase "comprising a ..." does not preclude the presence of additional identical elements in the process, method, article, or apparatus comprising that element.
上述本发明实施例序号仅仅为了描述，不代表实施例的优劣。The serial numbers of the above embodiments of the present invention are for description only, and do not represent the advantages and disadvantages of the embodiments.
通过以上的实施方式的描述，本领域的技术人员可以清楚地了解到上述实施例方法可借助软件加必需的通用硬件平台的方式来实现，当然也可以通过硬件，但很多情况下前者是更佳的实施方式。基于这样的理解，本发明的技术方案本质上或者说对现有技术做出贡献的部分可以以软件产品的形式体现出来，该计算机软件产品存储在一个存储介质(如ROM/RAM、磁碟、光盘)中，包括若干指令用以使得一台终端设备(可以是手机，计算机，服务器，空调器，或者网络设备等)执行本发明各个实施例所述的方法。Through the description of the above embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus a necessary general-purpose hardware platform, and of course also by hardware, but in many cases the former is better implementation. Based on such an understanding, the essence of the technical solution of the present invention or the part that contributes to the prior art can be embodied in the form of software products, and the computer software products are stored in a storage medium (such as ROM/RAM, disk, CD) contains several instructions to make a terminal device (which may be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) execute the methods described in various embodiments of the present invention.
以上仅为本发明的优选实施例，并非因此限制本发明的专利范围，凡是利用本发明说明书及附图内容所作的等效结构或等效流程变换，或直接或间接运用在其他相关的技术领域，均同理包括在本发明的专利保护范围内。The above are only preferred embodiments of the present invention, and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process conversion made by using the description of the present invention and the contents of the accompanying drawings, or directly or indirectly used in other related technical fields , are all included in the scope of patent protection of the present invention in the same way.
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