技术领域Technical Field
本发明涉及保电领域，具体而言，涉及一种电力系统的监测方法、装置、系统、存储介质及处理器。The present invention relates to the field of power protection, and in particular to a monitoring method, device, system, storage medium and processor for a power system.
背景技术Background technique
户外大型活动供电保障现场的敏感用户类型较多，数量庞大，例如灯光、音响、屏幕等。部分敏感负荷特性较为特殊，可能会引起电压波动、电流谐波等电能质量问题，而现场保障设备的运行特性与保障的成败亦有直接关系。因此，这对电力系统的保障工作提出了更高的要求，需在保障过程中出现电能质量事件时，尽快地监测设备和负荷的运行特性。然而，户外大型活动依赖的电力系统产生的数据量大、分布范围广、需要监测的方面很多，依赖人工对海量数据进行分析工作也无法应对供电保障工作中的对电能质量事件的高速反应的需求。There are many types of sensitive users at the power supply guarantee site of large-scale outdoor events, such as lights, audio, screens, etc. The characteristics of some sensitive loads are relatively special, which may cause power quality problems such as voltage fluctuations and current harmonics, and the operating characteristics of the on-site guarantee equipment are also directly related to the success or failure of the guarantee. Therefore, this puts higher demands on the guarantee work of the power system, and it is necessary to monitor the operating characteristics of the equipment and loads as soon as possible when power quality events occur during the guarantee process. However, the power system that large-scale outdoor events rely on generates a large amount of data, has a wide distribution range, and requires many aspects to be monitored. Relying on manual analysis of massive data cannot cope with the demand for high-speed response to power quality events in power supply guarantee work.
针对上述的问题，目前尚未提出有效的解决方案。To address the above-mentioned problems, no effective solution has been proposed yet.
发明内容Summary of the invention
本发明实施例提供了一种电力系统的监测方法、装置、系统、存储介质及处理器，以至少解决对电力系统的运行状态监测不智能的技术问题。Embodiments of the present invention provide a method, device, system, storage medium and processor for monitoring an electric power system, so as to at least solve the technical problem of unintelligent monitoring of the operating status of the electric power system.
根据本发明实施例的一个方面，提供了一种电力系统的监测方法，包括：获取多组电力系统数据，其中，所述多组电力系统数据为目标电力系统产生的数据，所述电力系统数据包括以下至少之一：传感器数据，保电终端设备数据；将所述多组电力系统数据实时上传至云端服务器；将所述多组电力数据输入电力系统监测模型，输出所述目标电力系统的运行状态，其中，所述电力系统监测模型为基于所述目标电力系统的多组样本数据进行深度学习得到的神经网络模型。According to one aspect of an embodiment of the present invention, a method for monitoring a power system is provided, comprising: acquiring multiple sets of power system data, wherein the multiple sets of power system data are data generated by a target power system, and the power system data include at least one of the following: sensor data, power protection terminal equipment data; uploading the multiple sets of power system data to a cloud server in real time; inputting the multiple sets of power data into a power system monitoring model, and outputting the operating status of the target power system, wherein the power system monitoring model is a neural network model obtained by deep learning based on the multiple sets of sample data of the target power system.
可选地，将所述多组电力系统数据实时上传至云端服务器，包括：在所述目标电力系统的数据采集侧部署边缘处理器，其中，所述边缘处理器用于进行边缘计算；使用所述边缘处理器预处理所述多组电力系统数据；将预处理后的所述多组电力系统数据实时上传至所述云端服务器。Optionally, uploading the multiple groups of power system data in real time to a cloud server includes: deploying an edge processor on the data acquisition side of the target power system, wherein the edge processor is used to perform edge computing; using the edge processor to preprocess the multiple groups of power system data; and uploading the preprocessed multiple groups of power system data to the cloud server in real time.
可选地，在所述目标电力系统的数据采集侧部署边缘处理器，包括：在所述电力系统的多个数据采集侧分别部署多个所述边缘处理器，其中，所述数据采集设备包括以下至少之一：传感器，保电终端设备；将多个所述边缘处理器和所述云端服务器接入分布式网络，其中，所述云端服务器和任意一个所述边缘处理器为所述分布式网络中的一个节点。Optionally, an edge processor is deployed on the data acquisition side of the target power system, including: deploying multiple edge processors on multiple data acquisition sides of the power system respectively, wherein the data acquisition equipment includes at least one of the following: a sensor, a power protection terminal device; connecting multiple edge processors and the cloud server to a distributed network, wherein the cloud server and any one of the edge processors is a node in the distributed network.
可选地，将所述多组电力系统数据实时上传至云端服务器，还包括：根据产生多组电力系统数据的设备类型，将所述多组电力系统数据划分为第一数据、第二数据和第三数据；采用5G通信技术中的URLLC服务将所述第一数据实时上传至所述云端服务器；采用区块链加密通信技术将所述第二数据上传至所述云端服务器；采用HPLC电子载波通信技术将所述第三数据上传至所述云端服务器。Optionally, uploading the multiple groups of power system data to the cloud server in real time also includes: dividing the multiple groups of power system data into first data, second data and third data according to the type of equipment generating the multiple groups of power system data; uploading the first data to the cloud server in real time using the URLLC service in the 5G communication technology; uploading the second data to the cloud server using the blockchain encryption communication technology; and uploading the third data to the cloud server using the HPLC electronic carrier communication technology.
可选地，采用区块链加密通信技术将所述第二数据上传至所述云端服务器，包括：建立目标设备与以太坊Geth节点的连接，其中，所述目标设备为产生所述第二数据的设备；获取所述第二设备的设备信息；发送所述设备信息至所述Geth节点，触发所述Geth节点的智能合约，进行所述设备信息的节点共识认证；在所述设备信息认证通过的情况下，将所述第二数据发送至所述Geth节点；所述Geth节点将所述第二数据上传至所述云端服务器。Optionally, blockchain encryption communication technology is used to upload the second data to the cloud server, including: establishing a connection between a target device and an Ethereum Geth node, wherein the target device is a device that generates the second data; obtaining device information of the second device; sending the device information to the Geth node, triggering the smart contract of the Geth node, and performing node consensus authentication of the device information; if the device information authentication passes, sending the second data to the Geth node; the Geth node uploads the second data to the cloud server.
可选地，输出所述目标电力系统的运行状态之后，还包括：判断所述目标电力系统的运行状态是否正常；在所述目标电力系统的运行状态为异常的情况下，进行告警提示。Optionally, after outputting the operating status of the target power system, the method further includes: determining whether the operating status of the target power system is normal; and issuing an alarm if the operating status of the target power system is abnormal.
根据本发明实施例的另一方面，还提供了一种电力系统的监测装置，包括：获取模块，用于获取多组电力系统数据，其中，所述多组电力系统数据为目标电力系统产生的数据，所述电力系统数据包括以下至少之一：传感器数据，保电终端设备数据；上传模块，用于将所述多组电力系统数据实时上传至云端服务器；输出模块，用于将所述多组电力数据输入电力系统监测模型，输出所述目标电力系统的运行状态，其中，所述电力系统监测模型为基于所述目标电力系统的多组样本数据进行深度学习得到的神经网络模型。According to another aspect of an embodiment of the present invention, a monitoring device for an electric power system is also provided, including: an acquisition module, used to acquire multiple groups of electric power system data, wherein the multiple groups of electric power system data are data generated by a target electric power system, and the electric power system data include at least one of the following: sensor data, power protection terminal equipment data; an upload module, used to upload the multiple groups of electric power system data to a cloud server in real time; an output module, used to input the multiple groups of power data into an electric power system monitoring model, and output the operating status of the target electric power system, wherein the electric power system monitoring model is a neural network model obtained by deep learning based on multiple groups of sample data of the target electric power system.
根据本发明实施例的又一方面，还提供了一种电力系统的监测系统，包括：数据采集装置，边缘计算装置，数据传输装置及云端服务器，其中，所述数据采集装置，用于获取多组电力系统数据，其中，所述多组电力系统数据为目标电力系统产生的数据，所述电力系统数据包括以下至少之一：传感器数据，保电终端设备数据；数据传输装置，用于采用5G通信技术中的URLLC服务将所述多组电力系统数据实时上传至所述云端服务器；所述云端服务器，用于将所述多组电力数据输入电力系统监测模型，输出所述目标电力系统的运行状态，其中，所述电力系统监测模型为基于所述目标电力系统的多组样本数据进行深度学习得到的神经网络模型。According to another aspect of an embodiment of the present invention, a monitoring system for an electric power system is also provided, comprising: a data acquisition device, an edge computing device, a data transmission device and a cloud server, wherein the data acquisition device is used to obtain multiple sets of electric power system data, wherein the multiple sets of electric power system data are data generated by a target electric power system, and the electric power system data include at least one of the following: sensor data, power supply terminal equipment data; a data transmission device is used to upload the multiple sets of electric power system data to the cloud server in real time using the URLLC service in the 5G communication technology; the cloud server is used to input the multiple sets of electric power data into an electric power system monitoring model, and output the operating status of the target electric power system, wherein the electric power system monitoring model is a neural network model obtained by deep learning based on multiple sets of sample data of the target electric power system.
可选地，上述系统还包括：边缘计算装置，其中，所述边缘计算装置，部署于所述数据采集装置旁，用于预处理所述多组电力系统数据。Optionally, the above system also includes: an edge computing device, wherein the edge computing device is deployed next to the data acquisition device and is used to pre-process the multiple groups of power system data.
根据本发明实施例的再一方面，还提供了一种计算机可读存储介质，所述计算机可读存储介质包括存储的程序，其中，在所述程序运行时控制所述计算机可读存储介质所在设备执行上述任意一项所述电力系统监测方法。According to another aspect of an embodiment of the present invention, a computer-readable storage medium is provided, wherein the computer-readable storage medium includes a stored program, wherein when the program is executed, the device where the computer-readable storage medium is located is controlled to execute any one of the above-mentioned power system monitoring methods.
根据本发明实施例的再一方面，还提供了一种处理器，所述处理器用于运行程序，其中，所述程序运行时执行上述任意一项所述电力系统监测方法。According to yet another aspect of the embodiments of the present invention, a processor is provided, wherein the processor is used to run a program, wherein the program executes any one of the above-mentioned power system monitoring methods when running.
在本发明实施例中，采用获取目标电力系统产生的多组电力系统数据的方式，通过将所述多组电力系统数据实时上传至云端服务器并输入经过深度学习得到的电力系统监测模型，输出所述目标电力系统的运行状态，达到了实时监测目标电力系统的运行状态的目的，从而实现了智能地监测电力系统的运行状态的技术效果，进而解决了对电力系统的运行状态监测不智能的技术问题。In an embodiment of the present invention, a method of acquiring multiple groups of power system data generated by the target power system is adopted. By uploading the multiple groups of power system data to a cloud server in real time and inputting a power system monitoring model obtained through deep learning, the operating status of the target power system is output, thereby achieving the purpose of real-time monitoring of the operating status of the target power system, thereby achieving the technical effect of intelligently monitoring the operating status of the power system, and further solving the technical problem of unintelligent monitoring of the operating status of the power system.
附图说明BRIEF DESCRIPTION OF THE DRAWINGS
此处所说明的附图用来提供对本发明的进一步理解，构成本申请的一部分，本发明的示意性实施例及其说明用于解释本发明，并不构成对本发明的不当限定。在附图中：The drawings described herein are used to provide a further understanding of the present invention and constitute a part of this application. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:
图1是根据本发明实施例提供的一种电力系统的监测方法的流程示意图；FIG1 is a schematic flow chart of a method for monitoring a power system according to an embodiment of the present invention;
图2是根据本发明可选实施方式提供的监测系统通讯方式的示意图；FIG2 is a schematic diagram of a communication method of a monitoring system provided according to an optional embodiment of the present invention;
图3是根据本发明实施例提供的一种电力系统的监测装置的结构框图。FIG3 is a structural block diagram of a monitoring device for a power system provided according to an embodiment of the present invention.
具体实施方式Detailed ways
为了使本技术领域的人员更好地理解本发明方案，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的实施例，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做出创造性劳动前提下所获得的所有其他实施例，都应当属于本发明保护的范围。In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.
需要说明的是，本发明的说明书和权利要求书及上述附图中的术语“第一”、“第二”等是用于区别类似的对象，而不必用于描述特定的顺序或先后次序。应该理解这样使用的数据在适当情况下可以互换，以便这里描述的本发明的实施例能够以除了在这里图示或描述的那些以外的顺序实施。此外，术语“包括”和“具有”以及他们的任何变形，意图在于覆盖不排他的包含，例如，包含了一系列步骤或单元的过程、方法、系统、产品或设备不必限于清楚地列出的那些步骤或单元，而是可包括没有清楚地列出的或对于这些过程、方法、产品或设备固有的其它步骤或单元。It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.
首先，对本申请实施例进行描述的过程中出现的部分名词或者术语适用于如下解释：First, some nouns or terms that appear in the description of the embodiments of the present application are subject to the following explanations:
URLLC服务，即超高可靠低时延通信服务(Ultra-reliable&Low-latencycommunication,简称URLLC)，由5G新无线电标准支持的服务。URLLC service, namely ultra-reliable & low-latency communication service (URLLC for short), is a service supported by the 5G new radio standard.
以太坊Geth节点，为了与区块链进行通信所使用的一种区块链客户端，通过Geth节点实现与其他客户端建立通信，实现签署、广播交易以及智能合约交互等功能。Ethereum Geth node is a blockchain client used to communicate with the blockchain. It establishes communication with other clients through the Geth node to realize functions such as signing, broadcasting transactions, and smart contract interaction.
实施例1Example 1
根据本发明实施例，提供了一种电力系统的监测方法实施例，需要说明的是，在附图的流程图示出的步骤可以在诸如一组计算机可执行指令的计算机系统中执行，并且，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。According to an embodiment of the present invention, an embodiment of a monitoring method for an electric power system is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.
图1是根据本发明实施例提供的电力系统的监测方法的流程示意图，如图1所示，该方法包括如下步骤：FIG. 1 is a flow chart of a method for monitoring a power system according to an embodiment of the present invention. As shown in FIG. 1 , the method includes the following steps:
步骤S102，获取多组电力系统数据，其中，多组电力系统数据为目标电力系统产生的数据，电力系统数据包括以下至少之一：传感器数据，保电终端设备数据。可选地，目标电力系统可以为用于支持户外大型活动的电力系统，例如包括灯光、音响、屏幕以及为其供电的供电网络等。传感器数据可以部署在目标电力系统旁，用于监测目标电力系统的特定特征的数据，例如，可以用于监测目标电力系统中的负荷接入情况、部件温度、通讯状态等。保电终端设备为用于保障目标电力系统供电稳定性的专业的监测设备。Step S102, obtaining multiple groups of power system data, wherein the multiple groups of power system data are data generated by the target power system, and the power system data include at least one of the following: sensor data, power supply terminal equipment data. Optionally, the target power system may be a power system used to support large-scale outdoor activities, such as including lights, audio, screens, and power supply networks for powering them. Sensor data can be deployed next to the target power system to monitor data on specific characteristics of the target power system, for example, it can be used to monitor load access, component temperature, communication status, etc. in the target power system. The power supply terminal equipment is a professional monitoring device used to ensure the power supply stability of the target power system.
步骤S104，将多组电力系统数据实时上传至云端服务器。由于对于大型户外活动的电力系统来说，其产生的数据量非常庞大，在本地很难进行数据处理，同时由于活动的环境场景限制，本地附近也无法部署大型可靠的计算设备或者服务器，因此，本实施例提出将数据实时上传至云端服务器，可以解决上述技术问题，实现对电力系统数据的妥善保存。Step S104, uploading multiple sets of power system data to the cloud server in real time. Since the amount of data generated by the power system of large-scale outdoor activities is very large, it is difficult to process the data locally. At the same time, due to the environmental scene restrictions of the activities, large-scale reliable computing equipment or servers cannot be deployed nearby. Therefore, this embodiment proposes to upload the data to the cloud server in real time, which can solve the above technical problems and realize the proper preservation of the power system data.
步骤S106，将多组电力数据输入电力系统监测模型，输出目标电力系统的运行状态，其中，电力系统监测模型为基于目标电力系统的多组样本数据进行深度学习得到的神经网络模型。Step S106, inputting multiple sets of power data into a power system monitoring model, and outputting the operating status of the target power system, wherein the power system monitoring model is a neural network model obtained by deep learning based on multiple sets of sample data of the target power system.
需要说明的是，电力系统监测模型可以预先训练并存储在云端服务器中，需要使用时可以直接调用。由于目标电力系统的数据量庞大，采用人工或者自动化的方式对电力系统的数据进行挖掘分析费时费力且正确率不能保证。因此，本实施例提出采用基于深度学习神经网络模型训练得到的电力系统监测模型对电力系统数据进行处理，由模型输出电力系统的运行状态。可选地，模型可以由目标电力系统的样本数据进行训练。其中，样本数据可以为在户外大型活动的供电现场搭建好电力系统后，现场收集的多组样本数据，样本数据中包括人工标记，用于标识每组样本数据中的电力系统的运行状态。此外，样本数据还可以为与该目标电力系统相似的其他电力系统的样本数据，使用相似电力系统的样本数据，可以为模型的训练提供更多现成的样本数据，提高了模型训练的效率。It should be noted that the power system monitoring model can be pre-trained and stored in a cloud server, and can be directly called when needed. Due to the huge amount of data in the target power system, it is time-consuming and laborious to mine and analyze the power system data manually or automatically, and the accuracy cannot be guaranteed. Therefore, this embodiment proposes to use a power system monitoring model obtained by training a deep learning neural network model to process the power system data, and the model outputs the operating status of the power system. Optionally, the model can be trained by sample data of the target power system. Among them, the sample data can be multiple groups of sample data collected on-site after the power system is built at the power supply site of a large-scale outdoor event. The sample data includes manual markings to identify the operating status of the power system in each group of sample data. In addition, the sample data can also be sample data of other power systems similar to the target power system. Using sample data of similar power systems can provide more ready-made sample data for model training, thereby improving the efficiency of model training.
通过上述步骤，采用获取目标电力系统产生的多组电力系统数据的方式，通过将多组电力系统数据实时上传至云端服务器并输入经过深度学习得到的电力系统监测模型，输出目标电力系统的运行状态，达到了实时监测目标电力系统的运行状态的目的，从而实现了智能地监测电力系统的运行状态的技术效果，进而解决了对电力系统的运行状态监测不智能的技术问题。Through the above steps, a method of obtaining multiple groups of power system data generated by the target power system is adopted. By uploading the multiple groups of power system data to the cloud server in real time and inputting the power system monitoring model obtained through deep learning, the operating status of the target power system is output, and the purpose of real-time monitoring of the operating status of the target power system is achieved, thereby achieving the technical effect of intelligently monitoring the operating status of the power system, and then solving the technical problem of unintelligent monitoring of the operating status of the power system.
作为一种可选的实施例，将多组电力系统数据实时上传至云端服务器，可以通过如下方式：在目标电力系统的数据采集侧部署边缘处理器，其中，边缘处理器用于进行边缘计算；使用边缘处理器预处理多组电力系统数据；将预处理后的多组电力系统数据实时上传至云端服务器。As an optional embodiment, uploading multiple sets of power system data to a cloud server in real time can be done in the following way: deploying an edge processor on the data acquisition side of the target power system, wherein the edge processor is used to perform edge computing; using the edge processor to preprocess multiple sets of power system data; and uploading the preprocessed multiple sets of power system data to the cloud server in real time.
作为一种可选的实施例，在目标电力系统的数据采集侧部署边缘处理器，可以先在电力系统的多个数据采集侧分别部署多个边缘处理器，其中，数据采集设备包括以下至少之一：传感器，保电终端设备；然后将多个边缘处理器和云端服务器接入分布式网络，其中，云端服务器和任意一个边缘处理器为分布式网络中的一个节点。采用分布式网络的网络布局方式，可以提高电力监测系统的稳定性，避免单一节点发生故障时影响对全局的监测效果。As an optional embodiment, an edge processor is deployed on the data collection side of the target power system. Multiple edge processors can be deployed on multiple data collection sides of the power system respectively, wherein the data collection equipment includes at least one of the following: sensors, power protection terminal equipment; and then multiple edge processors and cloud servers are connected to a distributed network, wherein the cloud server and any edge processor are a node in the distributed network. The network layout of the distributed network can improve the stability of the power monitoring system and avoid affecting the global monitoring effect when a single node fails.
作为一种可选的实施例，将多组电力系统数据实时上传至云端服务器，还可以采用如下方式：根据产生多组电力系统数据的设备类型，将多组电力系统数据划分为第一数据、第二数据和第三数据；采用5G通信技术中的URLLC服务将第一数据实时上传至云端服务器；采用区块链加密通信技术将第二数据上传至云端服务器；采用HPLC电子载波通信技术将第三数据上传至云端服务器。As an optional embodiment, uploading multiple groups of power system data to a cloud server in real time can also be done in the following manner: dividing the multiple groups of power system data into first data, second data and third data according to the type of equipment generating the multiple groups of power system data; uploading the first data to the cloud server in real time using the URLLC service in the 5G communication technology; uploading the second data to the cloud server using blockchain encryption communication technology; and uploading the third data to the cloud server using HPLC electronic carrier communication technology.
对于电力保障场景而言，保电现场会出现多种电力设备源，不同的设备可能属于不同的个人或者单位，设备的类型也多种多样，采用统一的电力数据传输技术有时无法很好地满足不同的需求。电力保障的执行场景可能有室内、广场或者野外，在不同场景中需要进行保障的电力设备必然不同，不同电力设备的数据处理需求也必然不同。例如，用电设备可以包括但不限于广播车、照明系统、机密场所用电设备等，在室内或者城市广场等场景中，上述设备可以通过城市供电系统接入电力，但是在野外场所时，由于环境中没有成熟的电力管线，因此电力设备需要采用其他电力接入的方式，上述区别也必然影响针对电力设备可以选用的数据传输方式。For power supply protection scenarios, there will be a variety of power equipment sources on the power supply protection site. Different equipment may belong to different individuals or units, and the types of equipment are also diverse. The use of a unified power data transmission technology sometimes cannot meet different needs well. The execution scenarios of power supply protection may be indoors, in squares, or outdoors. The power equipment that needs to be protected in different scenarios must be different, and the data processing requirements of different power equipment must also be different. For example, power equipment may include but is not limited to broadcast vehicles, lighting systems, and power equipment in confidential places. In indoor or city square scenarios, the above equipment can access electricity through the city power supply system, but in outdoor locations, because there are no mature power pipelines in the environment, the power equipment needs to adopt other power access methods. The above differences will inevitably affect the data transmission methods that can be selected for power equipment.
可选地，可以通过将电力系统中的电力设备产生的数据根据场景、需求进行分类，然后将不同类型的数据采用符合要求的数据传输方式上传至云端服务器，解决上述技术问题。具体的，电力系统数据的类型可以包括第一数据、第二数据和第三数据，其中，第一数据为时效需求等级最高的数据，需要采用最快速的方式进行传输的数据；第二数据为保密需求等级最高的数据，需要采用最安全的方式进行传输的数据；第三数据为较为普通的数据，这类数据对时效和保密需求并没有那么高，可以采用更加经济的方式进行传输。Optionally, the above technical problems can be solved by classifying the data generated by the power equipment in the power system according to the scenarios and requirements, and then uploading different types of data to the cloud server using the data transmission method that meets the requirements. Specifically, the types of power system data may include first data, second data, and third data, wherein the first data is the data with the highest level of timeliness requirement and needs to be transmitted in the fastest way; the second data is the data with the highest level of confidentiality requirement and needs to be transmitted in the safest way; the third data is relatively common data, which does not have such high requirements for timeliness and confidentiality and can be transmitted in a more economical way.
进一步地，第一数据可以包括但不限于直播信号或者在电力保障活动中极为重要的电力设备的数据，必须要高速实时上传，保证服务器可以尽快完成数据处理；第二数据可以包括但不限于与现场电力设备用户的隐私相关的数据，或者特殊对象的数据，例如有的场所的电力系统布置涉及国家或者军事机密，对电力系统数据的安全性需求很高，平时不能进行数据上传，但是出于电力保障的需求，又需要从现场上传至云端服务器，这样的数据可以划分为第二数据；第三数据可以是接入城市电力线的电力设备产生的数据。Furthermore, the first data may include but is not limited to live broadcast signals or data of power equipment that is extremely important in power security activities, which must be uploaded in real time at high speed to ensure that the server can complete data processing as soon as possible; the second data may include but is not limited to data related to the privacy of users of on-site power equipment, or data of special objects. For example, the power system layout of some places involves national or military secrets, and the security requirements for power system data are very high. Data cannot be uploaded under normal circumstances. However, for the purpose of power security, it needs to be uploaded from the site to the cloud server. Such data can be classified as the second data; the third data may be data generated by power equipment connected to the city's power lines.
针对上述三种数据，可以采用如下不同的数据传输方式：采用5G通信技术中的URLLC服务将所述第一数据实时上传至所述云端服务器；采用区块链加密通信技术将所述第二数据上传至所述云端服务器；采用HPLC电子载波通信技术将所述第三数据上传至所述云端服务器。其中，URLLC为5G标准中的超高可靠低时延通信服务，可以最大限度地保证数据传输的时效性。区块链加密通信技术可以保证数据传输的可靠性，避免敏感信息的泄漏。HPLC是宽带电力线载波技术的简称，具有带宽大传输速率高的特点，可以适用于接入了城市电力线的电力设备的数据传输。For the above three types of data, the following different data transmission methods can be used: using the URLLC service in 5G communication technology to upload the first data to the cloud server in real time; using blockchain encryption communication technology to upload the second data to the cloud server; using HPLC electronic carrier communication technology to upload the third data to the cloud server. Among them, URLLC is an ultra-high reliability and low-latency communication service in the 5G standard, which can maximize the timeliness of data transmission. Blockchain encryption communication technology can ensure the reliability of data transmission and avoid the leakage of sensitive information. HPLC is the abbreviation of broadband power line carrier technology, which has the characteristics of large bandwidth and high transmission rate, and can be used for data transmission of power equipment connected to urban power lines.
可选地，上述三种数据以外的数据，还可以采用4G通信技术进行传输，将数据上传至云端服务器。4G通信技术更加成熟且成本更低，5G通信技术、区块链加密通信技术和HPLC通信技术各有优点，运维人员可以根据供电活动的具体情况灵活选择上述多种通信技术的组合。图2是根据本发明可选实施方式提供的监测系统通讯方式的示意图，如图2所示，将监测终端的数据上传至云端服务器还可以选用4G和5G混合组网，结合区块链加密通信技术和HPLC技术的方式，将多种类型的监测终端的数据选用合适的数据传输路径。例如，对于产生数据量不大的传感器，可以采用4G通讯的形式将数据上传至云端服务器，而对于更加精密，会产生海量数据的专业保电设备，则采用5G通讯的形式将数据上传至云端服务器，供后续分析使用。Optionally, data other than the above three types of data can also be transmitted using 4G communication technology, and the data can be uploaded to a cloud server. 4G communication technology is more mature and has lower costs. 5G communication technology, blockchain encryption communication technology, and HPLC communication technology each have their own advantages. Operation and maintenance personnel can flexibly select a combination of the above multiple communication technologies according to the specific circumstances of the power supply activities. Figure 2 is a schematic diagram of the communication method of the monitoring system provided according to an optional implementation method of the present invention. As shown in Figure 2, the data of the monitoring terminal can be uploaded to the cloud server by using a hybrid network of 4G and 5G, and the data of various types of monitoring terminals can be transmitted using a suitable data transmission path in combination with blockchain encryption communication technology and HPLC technology. For example, for sensors that generate a small amount of data, 4G communication can be used to upload data to a cloud server, while for more sophisticated professional power protection equipment that generates massive amounts of data, 5G communication is used to upload data to a cloud server for subsequent analysis.
作为一种可选的实施例，采用区块链加密通信技术将第二数据上传至云端服务器，可以采用如下方式：建立目标设备与以太坊Geth节点的连接，其中，目标设备为产生第二数据的设备；获取第二设备的设备信息；发送设备信息至Geth节点，触发Geth节点的智能合约，进行设备信息的节点共识认证；在设备信息认证通过的情况下，将第二数据发送至Geth节点；Geth节点将第二数据上传至云端服务器。在上述可选的实施例中，通过Geth节点的智能合约对目标设备的设备信息进行认证，实现了对目标设备的身份验证，在此基础上将目标设备的数据通过区块链技术加密上传，保证了目标设备的数据传输的安全性。As an optional embodiment, the second data is uploaded to the cloud server using blockchain encryption communication technology, which can be done in the following way: establish a connection between the target device and the Ethereum Geth node, where the target device is the device that generates the second data; obtain the device information of the second device; send the device information to the Geth node, trigger the smart contract of the Geth node, and perform node consensus authentication of the device information; if the device information authentication is passed, send the second data to the Geth node; the Geth node uploads the second data to the cloud server. In the above optional embodiment, the device information of the target device is authenticated by the smart contract of the Geth node, and the identity authentication of the target device is realized. On this basis, the data of the target device is encrypted and uploaded through blockchain technology, ensuring the security of the data transmission of the target device.
作为一种可选的实施例，输出目标电力系统的运行状态之后，还可以判断目标电力系统的运行状态是否正常；在目标电力系统的运行状态为异常的情况下，进行告警提示。As an optional embodiment, after outputting the operating status of the target power system, it is also possible to determine whether the operating status of the target power system is normal; if the operating status of the target power system is abnormal, an alarm is issued.
实施例2Example 2
根据本发明实施例，还提供了一种用于实施上述电力系统的监测方法的电力系统的监测装置，图3是根据本发明实施例提供的电力系统的监测装置的结构框图，如图所示，该电力系统的监测装置30包括：获取模块32，上传模块34和输出模块36，下面对该电力系统的监测装置30进行说明。According to an embodiment of the present invention, a monitoring device for an electric power system for implementing the above-mentioned monitoring method for an electric power system is also provided. FIG3 is a structural block diagram of the monitoring device for an electric power system provided according to an embodiment of the present invention. As shown in the figure, the monitoring device 30 for an electric power system includes: an acquisition module 32, an upload module 34 and an output module 36. The monitoring device 30 for an electric power system is described below.
获取模块32，用于获取多组电力系统数据，其中，多组电力系统数据为目标电力系统产生的数据，电力系统数据包括以下至少之一：传感器数据，保电终端设备数据；An acquisition module 32 is used to acquire multiple sets of power system data, wherein the multiple sets of power system data are data generated by the target power system, and the power system data includes at least one of the following: sensor data, power terminal equipment data;
上传模块34，连接于上述获取模块32，用于将多组电力系统数据实时上传至云端服务器；An uploading module 34, connected to the acquisition module 32, is used to upload multiple sets of power system data to a cloud server in real time;
输出模块36，连接于上述上传模块34，用于将多组电力数据输入电力系统监测模型，输出目标电力系统的运行状态，其中，电力系统监测模型为基于目标电力系统的多组样本数据进行深度学习得到的神经网络模型。The output module 36 is connected to the above-mentioned upload module 34, and is used to input multiple groups of power data into the power system monitoring model and output the operating status of the target power system, wherein the power system monitoring model is a neural network model obtained by deep learning based on multiple groups of sample data of the target power system.
此处需要说明的是，上述获取模块32，上传模块34和输出模块36对应于实施例1中的步骤S102至步骤S106，三个模块与对应的步骤所实现的实例和应用场景相同，但不限于上述实施例1所公开的内容。It should be noted here that the above-mentioned acquisition module 32, upload module 34 and output module 36 correspond to steps S102 to S106 in Example 1, and the instances and application scenarios implemented by the three modules and the corresponding steps are the same, but are not limited to the contents disclosed in the above-mentioned Example 1.
实施例3Example 3
本发明的实施例可以提供一种计算机设备，可选地，在本实施例中，上述计算机设备可以位于计算机网络的多个网络设备中的至少一个网络设备。该计算机设备包括存储器和处理器。An embodiment of the present invention may provide a computer device. Optionally, in this embodiment, the computer device may be located in at least one network device among multiple network devices of a computer network. The computer device includes a memory and a processor.
其中，存储器可用于存储软件程序以及模块，如本发明实施例中的电力系统的监测方法和装置对应的程序指令/模块，处理器通过运行存储在存储器内的软件程序以及模块，从而执行各种功能应用以及数据处理，即实现上述的电力系统的监测方法。存储器可包括高速随机存储器，还可以包括非易失性存储器，如一个或者多个磁性存储装置、闪存、或者其他非易失性固态存储器。在一些实例中，存储器可进一步包括相对于处理器远程设置的存储器，这些远程存储器可以通过网络连接至计算机终端。上述网络的实例包括但不限于互联网、企业内部网、局域网、移动通信网及其组合。Among them, the memory can be used to store software programs and modules, such as the program instructions/modules corresponding to the monitoring method and device of the power system in the embodiment of the present invention. The processor executes various functional applications and data processing by running the software programs and modules stored in the memory, that is, realizing the above-mentioned monitoring method of the power system. The memory may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some instances, the memory may further include a memory remotely arranged relative to the processor, and these remote memories can be connected to the computer terminal via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.
处理器可以通过传输装置调用存储器存储的信息及应用程序，以执行下述步骤：获取多组电力系统数据，其中，多组电力系统数据为目标电力系统产生的数据，电力系统数据包括以下至少之一：传感器数据，保电终端设备数据；将多组电力系统数据实时上传至云端服务器；将多组电力数据输入电力系统监测模型，输出目标电力系统的运行状态，其中，电力系统监测模型为基于目标电力系统的多组样本数据进行深度学习得到的神经网络模型。The processor can call the information and applications stored in the memory through the transmission device to perform the following steps: obtain multiple sets of power system data, wherein the multiple sets of power system data are data generated by the target power system, and the power system data include at least one of the following: sensor data, power supply terminal equipment data; upload the multiple sets of power system data to the cloud server in real time; input the multiple sets of power data into the power system monitoring model, and output the operating status of the target power system, wherein the power system monitoring model is a neural network model obtained by deep learning based on multiple sets of sample data of the target power system.
可选的，上述处理器还可以执行如下步骤的程序代码：将多组电力系统数据实时上传至云端服务器，包括：在目标电力系统的数据采集侧部署边缘处理器，其中，边缘处理器用于进行边缘计算；使用边缘处理器预处理多组电力系统数据；将预处理后的多组电力系统数据实时上传至云端服务器。Optionally, the processor can also execute the program code of the following steps: uploading multiple sets of power system data to a cloud server in real time, including: deploying an edge processor on the data acquisition side of the target power system, wherein the edge processor is used for edge computing; using the edge processor to preprocess multiple sets of power system data; uploading the preprocessed multiple sets of power system data to a cloud server in real time.
可选的，上述处理器还可以执行如下步骤的程序代码：在目标电力系统的数据采集侧部署边缘处理器，包括：在电力系统的多个数据采集侧分别部署多个边缘处理器，其中，数据采集设备包括以下至少之一：传感器，保电终端设备；将多个边缘处理器和云端服务器接入分布式网络，其中，云端服务器和任意一个边缘处理器为分布式网络中的一个节点。Optionally, the processor can also execute the program code of the following steps: deploying an edge processor on the data acquisition side of the target power system, including: deploying multiple edge processors on multiple data acquisition sides of the power system respectively, wherein the data acquisition equipment includes at least one of the following: sensors, power supply terminal equipment; connecting multiple edge processors and cloud servers to a distributed network, wherein the cloud server and any edge processor are a node in the distributed network.
可选的，上述处理器还可以执行如下步骤的程序代码：将多组电力系统数据实时上传至云端服务器，还包括：根据产生多组电力系统数据的设备类型，将多组电力系统数据划分为第一数据、第二数据和第三数据；采用5G通信技术中的URLLC服务将第一数据实时上传至云端服务器；采用区块链加密通信技术将第二数据上传至云端服务器；采用HPLC电子载波通信技术将第三数据上传至云端服务器。Optionally, the processor may also execute the program code of the following steps: uploading multiple sets of power system data to a cloud server in real time, and also including: dividing the multiple sets of power system data into first data, second data and third data according to the type of equipment generating the multiple sets of power system data; uploading the first data to the cloud server in real time using the URLLC service in the 5G communication technology; uploading the second data to the cloud server using the blockchain encryption communication technology; and uploading the third data to the cloud server using the HPLC electronic carrier communication technology.
可选的，上述处理器还可以执行如下步骤的程序代码：采用区块链加密通信技术将第二数据上传至云端服务器，包括：建立目标设备与以太坊Geth节点的连接，其中，目标设备为产生第二数据的设备；获取第二设备的设备信息；发送设备信息至Geth节点，触发Geth节点的智能合约，进行设备信息的节点共识认证；在设备信息认证通过的情况下，将第二数据发送至Geth节点；Geth节点将第二数据上传至云端服务器。Optionally, the processor may also execute the program code of the following steps: uploading the second data to the cloud server using blockchain encryption communication technology, including: establishing a connection between the target device and the Ethereum Geth node, wherein the target device is the device that generates the second data; obtaining device information of the second device; sending the device information to the Geth node, triggering the smart contract of the Geth node, and performing node consensus authentication of the device information; if the device information authentication passes, sending the second data to the Geth node; the Geth node uploads the second data to the cloud server.
可选的，上述处理器还可以执行如下步骤的程序代码：输出目标电力系统的运行状态之后，还包括：判断目标电力系统的运行状态是否正常；在目标电力系统的运行状态为异常的情况下，进行告警提示。Optionally, the processor may also execute the program code of the following steps: after outputting the operating status of the target power system, it also includes: determining whether the operating status of the target power system is normal; and issuing an alarm prompt when the operating status of the target power system is abnormal.
本领域普通技术人员可以理解上述实施例的各种方法中的全部或部分步骤是可以通过程序来指令终端设备相关的硬件来完成，该程序可以存储于一计算机可读存储介质中，存储介质可以包括：闪存盘、只读存储器(Read-Only Memory，ROM)、随机存取器(RandomAccess Memory，RAM)、磁盘或光盘等。A person of ordinary skill in the art can understand that all or part of the steps in the various methods of the above embodiments can be completed by instructing the hardware related to the terminal device through a program, and the program can be stored in a computer-readable storage medium, and the storage medium may include: a flash drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, etc.
实施例4Example 4
本发明的实施例还提供了一种计算机可读存储介质。可选地，在本实施例中，上述计算机可读存储介质可以用于保存上述实施例1所提供的电力系统的监测方法所执行的程序代码。The embodiment of the present invention further provides a computer-readable storage medium. Optionally, in this embodiment, the computer-readable storage medium can be used to store the program code executed by the power system monitoring method provided in the above embodiment 1.
可选地，在本实施例中，上述计算机可读存储介质可以位于计算机网络中计算机终端群中的任意一个计算机终端中，或者位于移动终端群中的任意一个移动终端中。Optionally, in this embodiment, the computer-readable storage medium may be located in any one of the computer terminals in a computer terminal group in a computer network, or in any one of the mobile terminals in a mobile terminal group.
可选地，在本实施例中，计算机可读存储介质被设置为存储用于执行以下步骤的程序代码：获取多组电力系统数据，其中，多组电力系统数据为目标电力系统产生的数据，电力系统数据包括以下至少之一：传感器数据，保电终端设备数据；将多组电力系统数据实时上传至云端服务器；将多组电力数据输入电力系统监测模型，输出目标电力系统的运行状态，其中，电力系统监测模型为基于目标电力系统的多组样本数据进行深度学习得到的神经网络模型。Optionally, in this embodiment, the computer-readable storage medium is configured to store program code for executing the following steps: obtaining multiple sets of power system data, wherein the multiple sets of power system data are data generated by the target power system, and the power system data include at least one of the following: sensor data, power supply terminal equipment data; uploading the multiple sets of power system data to a cloud server in real time; inputting the multiple sets of power data into a power system monitoring model, and outputting the operating status of the target power system, wherein the power system monitoring model is a neural network model obtained by deep learning based on multiple sets of sample data of the target power system.
可选地，在本实施例中，计算机可读存储介质被设置为存储用于执行以下步骤的程序代码：将多组电力系统数据实时上传至云端服务器，包括：在目标电力系统的数据采集侧部署边缘处理器，其中，边缘处理器用于进行边缘计算；使用边缘处理器预处理多组电力系统数据；将预处理后的多组电力系统数据实时上传至云端服务器。Optionally, in this embodiment, the computer-readable storage medium is configured to store program code for executing the following steps: uploading multiple sets of power system data to a cloud server in real time, including: deploying an edge processor on the data acquisition side of the target power system, wherein the edge processor is used to perform edge computing; using the edge processor to preprocess multiple sets of power system data; and uploading the preprocessed multiple sets of power system data to the cloud server in real time.
可选地，在本实施例中，计算机可读存储介质被设置为存储用于执行以下步骤的程序代码：在目标电力系统的数据采集侧部署边缘处理器，包括：在电力系统的多个数据采集侧分别部署多个边缘处理器，其中，数据采集设备包括以下至少之一：传感器，保电终端设备；将多个边缘处理器和云端服务器接入分布式网络，其中，云端服务器和任意一个边缘处理器为分布式网络中的一个节点。Optionally, in this embodiment, the computer-readable storage medium is configured to store program code for executing the following steps: deploying an edge processor on the data acquisition side of the target power system, including: deploying multiple edge processors on multiple data acquisition sides of the power system, respectively, wherein the data acquisition equipment includes at least one of the following: a sensor, a power supply terminal device; connecting multiple edge processors and a cloud server to a distributed network, wherein the cloud server and any edge processor are a node in the distributed network.
可选地，在本实施例中，计算机可读存储介质被设置为存储用于执行以下步骤的程序代码：将多组电力系统数据实时上传至云端服务器，还包括：根据产生多组电力系统数据的设备类型，将多组电力系统数据划分为第一数据、第二数据和第三数据；采用5G通信技术中的URLLC服务将第一数据实时上传至云端服务器；采用区块链加密通信技术将第二数据上传至云端服务器；采用HPLC电子载波通信技术将第三数据上传至云端服务器。Optionally, in this embodiment, the computer-readable storage medium is configured to store program codes for executing the following steps: uploading multiple sets of power system data to a cloud server in real time, and also including: dividing the multiple sets of power system data into first data, second data, and third data according to the type of equipment that generates the multiple sets of power system data; uploading the first data to the cloud server in real time using the URLLC service in the 5G communication technology; uploading the second data to the cloud server using blockchain encryption communication technology; and uploading the third data to the cloud server using HPLC electronic carrier communication technology.
可选地，在本实施例中，计算机可读存储介质被设置为存储用于执行以下步骤的程序代码：采用区块链加密通信技术将第二数据上传至云端服务器，包括：建立目标设备与以太坊Geth节点的连接，其中，目标设备为产生第二数据的设备；获取第二设备的设备信息；发送设备信息至Geth节点，触发Geth节点的智能合约，进行设备信息的节点共识认证；在设备信息认证通过的情况下，将第二数据发送至Geth节点；Geth节点将第二数据上传至云端服务器。Optionally, in this embodiment, the computer-readable storage medium is configured to store program codes for executing the following steps: uploading the second data to the cloud server using blockchain encryption communication technology, including: establishing a connection between the target device and the Ethereum Geth node, wherein the target device is the device that generates the second data; obtaining device information of the second device; sending the device information to the Geth node, triggering the smart contract of the Geth node, and performing node consensus authentication of the device information; if the device information authentication passes, sending the second data to the Geth node; the Geth node uploads the second data to the cloud server.
可选地，在本实施例中，计算机可读存储介质被设置为存储用于执行以下步骤的程序代码：输出目标电力系统的运行状态之后，还包括：判断目标电力系统的运行状态是否正常；在目标电力系统的运行状态为异常的情况下，进行告警提示。Optionally, in this embodiment, the computer-readable storage medium is configured to store program codes for executing the following steps: after outputting the operating status of the target power system, it also includes: determining whether the operating status of the target power system is normal; and issuing an alarm prompt when the operating status of the target power system is abnormal.
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 only for description and do not represent the advantages or disadvantages of the embodiments.
在本发明的上述实施例中，对各个实施例的描述都各有侧重，某个实施例中没有详述的部分，可以参见其他实施例的相关描述。In the above embodiments of the present invention, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.
在本申请所提供的几个实施例中，应该理解到，所揭露的技术内容，可通过其它的方式实现。其中，以上所描述的装置实施例仅仅是示意性的，例如单元的划分，可以为一种逻辑功能划分，实际实现时可以有另外的划分方式，例如多个单元或组件可以结合或者可以集成到另一个系统，或一些特征可以忽略，或不执行。另一点，所显示或讨论的相互之间的耦合或直接耦合或通信连接可以是通过一些接口，单元或模块的间接耦合或通信连接，可以是电性或其它的形式。In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only schematic. For example, the division of units can be a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.
作为分离部件说明的单元可以是或者也可以不是物理上分开的，作为单元显示的部件可以是或者也可以不是物理单元，即可以位于一个地方，或者也可以分布到多个单元上。可以根据实际的需要选择其中的部分或者全部单元来实现本实施例方案的目的。The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed over multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.
另外，在本发明各个实施例中的各功能单元可以集成在一个处理单元中，也可以是各个单元单独物理存在，也可以两个或两个以上单元集成在一个单元中。上述集成的单元既可以采用硬件的形式实现，也可以采用软件功能单元的形式实现。In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.
集成的单元如果以软件功能单元的形式实现并作为独立的产品销售或使用时，可以存储在一个计算机可读取存储介质中。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或者该技术方案的全部或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中，包括若干指令用以使得一台计算机设备(可为个人计算机、服务器或者网络设备等)执行本发明各个实施例方法的全部或部分步骤。而前述的存储介质包括：U盘、只读存储器(ROM，Read-Only Memory)、随机存取存储器(RAM，Random Access Memory)、移动硬盘、磁碟或者光盘等各种可以存储程序代码的介质。If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the methods of each embodiment of the present invention. The aforementioned storage medium includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disk and other media that can store program codes.
以上仅是本发明的优选实施方式，应当指出，对于本技术领域的普通技术人员来说，在不脱离本发明原理的前提下，还可以做出若干改进和润饰，这些改进和润饰也应视为本发明的保护范围。The above are only preferred embodiments of the present invention. It should be pointed out that, for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.
| Application Number | Priority Date | Filing Date | Title |
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| CN202111285343.3ACN114007149B (en) | 2021-11-01 | 2021-11-01 | Power system monitoring method, device, system, storage medium and processor |
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| CN202111285343.3ACN114007149B (en) | 2021-11-01 | 2021-11-01 | Power system monitoring method, device, system, storage medium and processor |
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| CN202111285343.3AActiveCN114007149B (en) | 2021-11-01 | 2021-11-01 | Power system monitoring method, device, system, storage medium and processor |
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