WO2022007299A1 - 一种基于微服务架构的电网故障诊断方法及存储介质 - Google Patents

一种基于微服务架构的电网故障诊断方法及存储介质 Download PDF

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WO2022007299A1
WO2022007299A1 PCT/CN2020/130244 CN2020130244W WO2022007299A1 WO 2022007299 A1 WO2022007299 A1 WO 2022007299A1 CN 2020130244 W CN2020130244 W CN 2020130244W WO 2022007299 A1 WO2022007299 A1 WO 2022007299A1
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power grid
inspection
information
micro
method based
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French (fr)
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李刚
刘暘
王倩
李信
王艺霏
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Beijing Sgitg Accenture Information Technology Center Co Ltd
State Grid Information and Telecommunication Group Co Ltd
Information and Telecommunication Branch of State Grid Jibei Electric Power Co Ltd
State Grid Corp of China SGCC
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Beijing Sgitg Accenture Information Technology Center Co Ltd
State Grid Information and Telecommunication Group Co Ltd
Information and Telecommunication Branch of State Grid Jibei Electric Power Co Ltd
State Grid Corp of China SGCC
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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/08—Locating faults in cables, transmission lines, or networks
    • G01R31/081—Locating faults in cables, transmission lines, or networks according to type of conductors
    • G01R31/086—Locating faults in cables, transmission lines, or networks according to type of conductors in power transmission or distribution networks, i.e. with interconnected conductors
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24—Querying
    • G06F16/245—Query processing
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24—Querying
    • G06F16/248—Presentation of query results
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/29—Geographical information databases
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/20—Administration of product repair or maintenance
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06—Energy or water supply
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/10—Terrestrial scenes
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00—Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
    • Y04S10/52—Outage or fault management, e.g. fault detection or location

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  • the present application belongs to the field of power grid fault diagnosis, and relates to a power grid fault diagnosis method and storage medium based on a micro-service architecture.
  • Power grid fault inspection is an important way to improve the reliability of power grid operation.
  • the inspection of existing power grid faults is mainly carried out by staff on a regular basis, and the labor cost is high.
  • many domestic units have begun to rely on video surveillance to conduct power grid inspections.
  • the position of the collected image of the power grid is faulty, and the remote fault inspection of each position of the power grid cannot be realized.
  • the location of the fault cannot be visually displayed, thus seriously affecting the safety and reliability of the power grid.
  • the purpose of the present application is to overcome the shortcomings of the above-mentioned prior art, and to provide a power grid fault diagnosis method and storage medium based on a micro-service architecture. visualization.
  • the micro-service architecture enterprise middle station generates grid inspection task information, and sends the grid inspection task information to the PC headquarters;
  • the PC headquarters sends the grid inspection task information to the inspection robot
  • the inspection robot arrives at the position to be inspected in the power grid according to the power grid inspection task information, and inspects the power grid to obtain the power grid inspection information, and then analyzes the operation of the power grid according to the obtained power grid inspection information, and then analyzes the results and the power grid inspection information. Sent to PC Command;
  • the PC headquarters judges whether the power grid is faulty according to the analysis results and power grid inspection information. When the power grid fails, it will display the power grid fault location on the GIS map synchronously.
  • the grid inspection information includes video information, image information and audio information of the grid.
  • the inspection robot obtains an image of the power grid through an image recognition method according to the inspection information of the power grid, and invokes an abnormal situation analysis service according to the image of the power grid and uses the power grid fault database to preliminarily analyze and determine whether the power grid is faulty.
  • an alarm message is sent to the PC command center; the PC command center finally judges whether the power grid is faulty according to the alarm information and combined with the power grid inspection information, and when it is finally judged that the power grid is faulty, it is synchronized on the GIS map. Displays the location of the grid fault.
  • the power grid fault database stores images of power grids and corresponding abnormal types of power grids.
  • the image of the current power grid is searched for the corresponding power grid fault types in the power grid fault database.
  • the corresponding power grid fault type is found, it is preliminarily analyzed that the power grid is faulty, and when the corresponding power grid fault type is not found, it means that the power grid is not faulty.
  • the method further includes: updating the grid fault database.
  • the storage medium provided by the embodiment of the present application is used to store a computer program, and when the computer program is invoked by a processor, the computer program is used to execute the above-mentioned method for diagnosing a power grid fault based on a micro-service architecture.
  • the PC headquarters sends the power grid inspection task information to the inspection robot, and the inspection robot arrives at the grid inspection position according to the power grid inspection task information, and Inspect the power grid, and analyze and judge whether the power grid is faulty according to the results of the power grid inspection.
  • the results of the analysis and judgment and the power grid inspection information are sent to the PC command, so that the PC command can finally determine whether the power grid is faulty.
  • the location of the power grid fault will be displayed on the GIS map synchronously, so as to realize the all-round inspection of the power grid, and at the same time realize the visualization of the fault location.
  • FIG. 1 is a flowchart of a power grid fault diagnosis method based on a micro-service architecture provided by an embodiment of the present application
  • FIG. 2 is a schematic diagram of a power grid fault diagnosis method based on a micro-service architecture provided by an embodiment of the present application.
  • the power grid fault diagnosis method based on the micro-service architecture of the embodiment of the present application includes the following steps:
  • Step 101 The microservice architecture enterprise middle station generates power grid inspection task information, and sends the power grid inspection task information to the PC headquarters.
  • Step 102 The PC command department sends the grid inspection task information to the inspection robot.
  • Step 103 The inspection robot arrives at the position to be inspected in the power grid according to the power grid inspection task information, and inspects the power grid, obtains the power grid inspection information, and uploads the power grid inspection information, wherein the power grid inspection information includes video information and images of the power grid. Information and audio information, and then analyze the operation of the power grid according to the obtained power grid inspection information, and then send the analysis results and the power grid inspection information to the PC headquarters.
  • Step 104 The PC command department determines whether the power grid is faulty according to the analysis result and the power grid inspection information, and when the power grid fails, the location of the power grid fault is displayed on the GIS map synchronously.
  • the “microservice architecture enterprise middle platform” in the embodiment of the present application is the “business middle platform” in FIG. 2 .
  • the “inspection robot” in the embodiment of the present application is the “inspection terminal” in FIG. 2 .
  • the “display end” in FIG. 2 is used to implement the functions related to the “display” of the technical solutions of the embodiments of the present application.
  • the grid inspection task information is to inspect the DC bus in the substation.
  • the inspection robot drives to the position of the DC bus according to the grid inspection task information, and then obtains the video and audio information of the DC bus, and then according to the DC bus Preliminary analysis of the video and audio information of the transformer to determine whether the DC bus is faulty. For example, when the DC bus is on fire or broken, the preliminary analysis results and the video and audio information of the DC bus are sent to the PC command.
  • the inspection robot obtains the image of the power grid through the image recognition method according to the inspection information of the power grid, and invokes the abnormal situation analysis service according to the image of the power grid, and uses the power grid fault database to preliminarily analyze and determine whether the power grid is faulty.
  • Send the alarm information to the PC command center, and the PC command center finally judges whether the power grid is faulty according to the alarm information and combined with the power grid inspection information.
  • the power grid fault database stores images of power grids and corresponding abnormal types of power grids.
  • the image of the current power grid is searched for the corresponding power grid fault types in the power grid fault database.
  • the corresponding power grid fault types are found
  • the fault type is selected, it is preliminarily analyzed that the power grid is faulty.
  • the corresponding power grid fault type is not found, it means that the power grid is not faulty.
  • the present application also includes: updating the power grid fault database, wherein, by calling the self power grid fault database, through image recognition analysis and data calculation and comparison analysis, the relevant abnormal situation conclusion is obtained.
  • the grid fault database contains a historical case library and a new self-based simulation case analysis library.
  • the historical case analysis library is a record library of previously processed cases.
  • the new simulation case analysis library is a new simulation case analysis library established according to the latest relevant policies combined with the latest power grid hardware technology development and new technology prospect, for some possible abnormal power grid situations, by analyzing the possible abnormal situation points. When an abnormal situation occurs, the historical case library will be called first. If no such case is found through analysis, the new simulation case library will be called.
  • a new abnormal situation analysis result will be obtained and fed back to the PC command center.
  • the new simulation case The establishment of the library is a major progress in the development of abnormal situations in the power grid. From the comparison of existing cases to the simulation of new abnormal situations, it provides a more complete analysis and processing plan for the rapid discovery and resolution of abnormal situations.
  • Embodiments of the present application further provide a storage medium, where the storage medium is used for storing a computer program, and when the computer program is invoked by a processor, the computer program is used to execute the method for diagnosing power grid faults based on the micro-service architecture in the above solution.

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Abstract

一种基于微服务架构的电网故障诊断方法及存储介质，包括以下步骤：微服务架构企业中台生成电网巡视任务信息，并将所述电网巡视任务信息发送给PC指挥部（101）；PC指挥部将所述电网巡视任务信息发送至巡检机器人（102）；巡检机器人根据所述电网巡视任务信息到达电网待巡视位置，并对电网进行巡视，得电网巡视信息，然后根据得到的电网巡视信息对电网运行情况进行分析，然后将分析的结果及电网巡视信息发送至PC指挥部（103），PC指挥部根据分析的结果及电网巡视信息判断电网是否出现故障，当电网出现故障时，则在GIS地图上同步显示电网故障位置（104），该方法及存储介质能够对电网进行全方位的巡检，同时实现故障位置的可视化。

Description

一种基于微服务架构的电网故障诊断方法及存储介质
相关申请的交叉引用
本申请基于申请号为202010658415.3、申请日为2020年07月09日的中国专利申请提出，并要求该中国专利申请的优先权，该中国专利申请的全部内容在此引入本申请作为参考。
技术领域
本申请属于电网故障诊断领域，涉及一种基于微服务架构的电网故障诊断方法及存储介质。
背景技术
电网故障巡检是提高电网运行可靠性的重要途径，现有电网故障的巡检主要是通过工作人员定期进行检查，人力成本较高，同时最近几年，国内很多单位开始依靠视频监控来进行电网的图像采集，然后根据采集来的图像数据进行故障判断，然而由于摄像头安装位置故障，因此采集到电网图像的位置故障，不能实现对电网各位置进行远程的故障巡检，当设置多个摄像头时，则不能对故障的位置进行可视化的显示，从而严重的影响了电网的安全可靠性。
发明内容
本申请的目的在于克服上述现有技术的缺点，提供了一种基于微服务架构的电网故障诊断方法及存储介质，该方法及存储介质能够对电网进行全方位的巡检，同时实现故障位置的可视化。
本申请实施例提供的基于微服务架构的电网故障诊断方法包括以下步 骤：
微服务架构企业中台生成电网巡视任务信息，并将所述电网巡视任务信息发送给PC指挥部；
PC指挥部将所述电网巡视任务信息发送至巡检机器人；
巡检机器人根据所述电网巡视任务信息到达电网待巡视位置，并对电网进行巡视，得电网巡视信息，然后根据得到的电网巡视信息对电网运行情况进行分析，然后将分析的结果及电网巡视信息发送至PC指挥部；
PC指挥部根据分析的结果及电网巡视信息判断电网是否出现故障，当电网出现故障时，则在GIS地图上同步显示电网故障位置。
在一可选方式中，所述电网巡视信息包括电网的视频信息、图像信息及音频信息。
在一可选方式中，所述巡检机器人根据电网巡视信息通过图像识别方法获取电网的图像，并根据电网的图像调用异常情况分析服务利用电网故障数据库初步分析判断电网是否出现故障，当初步判断电网出现故障时，则发出报警信息给PC指挥部；所述PC指挥部根据所述报警信息并结合电网巡视信息最终判断电网是否出现故障，当最终判断电网出现故障时，则在GIS地图上同步显示电网故障的位置。
在一可选方式中，所述电网故障数据库中存储有电网的图像以及对应的电网异常类型，在初步分析时，将当前电网的图像在电网故障数据库中寻找与其对应的电网故障类型，当寻找到对应的电网故障类型时，则初步分析得到电网出现故障，当没有找到对应的电网故障类型时，则说明电网没有出现故障。
在一可选方式中，所述方法还包括：对电网故障数据库进行更新。
本申请实施例提供的的存储介质用于存储计算机程序，所述计算机程序被处理器调用时用于执行上述基于微服务架构的电网故障诊断方法。
本申请实施例的技术方案具有以下有益效果：
基于微服务架构的电网故障诊断方法及存储介质在具体操作时，PC指挥部将所述电网巡视任务信息发送至巡检机器人，巡检机器人根据所述电网巡视任务信息到达电网待巡视位置，并对电网进行巡视，并根据电网巡检的结果分析判断电网是否出现故障，分析判断的结果及电网巡检信息发送给PC指挥部，以便PC指挥部最终判断电网是否出现故障，当电网出现故障时，则将电网故障的位置同步显示到GIS地图，以实现电网的全方位巡检，同时实现故障位置的可视化。
附图说明
通过阅读下文优选实施方式的详细描述，各种其他的优点和益处对于本领域普通技术人员将变得清楚明了。附图仅用于示出优选实施方式的目的，而并不认为是对本申请的限制。而且在整个附图中，用相同的参考符号表示相同的部件。在附图中：
图1为本申请实施例提供的基于微服务架构的电网故障诊断方法的流程图；
图2为本申请实施例提供的基于微服务架构的电网故障诊断方法的原理图。
具体实施方式
为了使本技术领域的人员更好地理解本申请方案，下面将结合本申请实施例中的附图，对本申请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申请一部分的实施例，而不是全部的实施例。基于本申请中的实施例，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，都应当属于本申请保护的范围。
参考图1，本申请实施例的基于微服务架构的电网故障诊断方法包括以 下步骤：
步骤101：微服务架构企业中台生成电网巡视任务信息，并将所述电网巡视任务信息发送给PC指挥部。
步骤102：PC指挥部将所述电网巡视任务信息发送至巡检机器人。
步骤103：巡检机器人根据所述电网巡视任务信息到达电网待巡视位置，并对电网进行巡视，得电网巡视信息，并对电网巡视信息进行上传，其中，电网巡视信息包括电网的视频信息、图像信息及音频信息，然后根据得到的电网巡视信息对电网运行情况进行分析，然后将分析的结果及电网巡视信息发送至PC指挥部。
步骤104：PC指挥部根据分析的结果及电网巡视信息判断电网是否出现故障，当电网出现故障时，则在GIS地图上同步显示电网故障位置。
结合图2，本申请实施例中的“微服务架构企业中台”为图2中的“业务中台”。本申请实施例中的“巡检机器人”为图2中的“巡视端”。图2中的“展示端”用于实现本申请实施例技术方案与“显示”相关的功能。
在一个示例中，电网巡视任务信息为对变电站中的直流母线进行巡视，巡检机器人根据所述电网巡视任务信息行驶到直流母线的位置，再获取直流母线的视频及音频信息，然后根据直流母线的视频及音频信息初步分析判断变直流母线是否出现故障，例如，当直流母线出现着火、断裂等现象时，再将初步分析结果及直流母线的视频及音频信息发送给PC指挥部。
具体的，巡检机器人根据电网巡视信息通过图像识别方法获取电网的图像，并根据电网的图像调用异常情况分析服务利用电网故障数据库初步分析判断电网是否出现故障，当初步判断电网出现故障时，则发出报警信息给PC指挥部，PC指挥部根据所述报警信息并结合电网巡视信息最终判断电网是否出现故障，当最终判断电网出现故障时，则在GIS地图上同步显示电网故障的位置。
具体的，所述电网故障数据库中存储有电网的图像以及对应的电网异常类型，在初步分析时，将当前电网的图像在电网故障数据库中寻找与其对应的电网故障类型，当寻找到对应的电网故障类型时，则初步分析得到电网出现故障，当没有找到对应的电网故障类型时，则说明电网没有出现故障。
需要说明的是，本申请还包括：对电网故障数据库进行更新，其中，通过调用自我的电网故障数据库，通过图像识别分析及数据计算对比分析，得出相关异常情况结论。电网故障数据库包含历史案例库和基于自我的新型模拟案例分析库。历史案例分析库为以前处理过的案例记录库。新型模拟案例分析库为根据最新的相关政策结合最新的电网硬件技术发展及新型技术展望，对于可能发生的一些电网异常情况，通过分析可能发生的异常情况点，建立的新型模拟案例分析库。当异常情况发生时，优先调用历史案例库，如果通过分析发现无此案例，则调用新型模拟案例库，结合数据算法，得出新的异常情况分析结果，并反馈给PC指挥部，新型模拟案例库的建立是电网异常情况发展的一大进步，由原来的已有案例比对，上升到新型异常情况模拟，对于异常情况的快速发现和解决，提供了更加完整的分析处理方案。
本申请实施例还提供一种存储介质，该存储介质用于存储计算机程序，该计算机程序被处理器调用时用于执行上述方案中的基于微服务架构的电网故障诊断方法。
需要说明的是，对于前述的方法实施例，为了简单描述，故将其都表述为一系列的动作组合，但是本领域技术人员应该知悉，本申请并不受所描述的动作顺序的限制，因为依据本申请，某些步骤可以采用其他顺序或者同时进行。其次，本领域技术人员也应该知悉，说明书中所描述的实施例均属于优选实施例，所涉及的动作并不一定是本申请所必需的。
最后应说明的是：以上实施例仅用以说明本申请的技术方案，而非对其限制；尽管参照前述实施例对本申请进行了详细的说明，本领域的普通技术人员应当理解：其依然可以对前述各实施例所记载的技术方案进行修改，或者对其中部分技术特征进行等同替换；而这些修改或者替换，并不使相应技术方案的本质脱离本申请各实施例技术方案的精神和范围。

Claims (6)

  1. 一种基于微服务架构的电网故障诊断方法，包括以下步骤：
    微服务架构企业中台生成电网巡视任务信息，并将所述电网巡视任务信息发送给PC指挥部；
    PC指挥部将所述电网巡视任务信息发送至巡检机器人；
    巡检机器人根据所述电网巡视任务信息到达电网待巡视位置，并对电网进行巡视，得电网巡视信息，然后根据得到的电网巡视信息对电网运行情况进行分析，然后将分析的结果及电网巡视信息发送至PC指挥部；
    PC指挥部根据分析的结果及电网巡视信息判断电网是否出现故障，当电网出现故障时，则在GIS地图上同步显示电网故障位置。
  2. 根据权利要求1所述的基于微服务架构的电网故障诊断方法，其中，所述电网巡视信息包括电网的视频信息、图像信息及音频信息。
  3. 根据权利要求1所述的基于微服务架构的电网故障诊断方法，其中，
    所述巡检机器人根据电网巡视信息通过图像识别方法获取电网的图像，并根据电网的图像调用异常情况分析服务利用电网故障数据库初步分析判断电网是否出现故障，当初步判断电网出现故障时，则发出报警信息给PC指挥部；
    所述PC指挥部根据所述报警信息并结合电网巡视信息最终判断电网是否出现故障，当最终判断电网出现故障时，则在GIS地图上同步显示电网故障的位置。
  4. 根据权利要求3所述的基于微服务架构的电网故障诊断方法，其中，所述电网故障数据库中存储有电网的图像以及对应的电网异常类型，在初步分析时，将当前电网的图像在电网故障数据库中寻找与其对应的电网故障类型，当寻找到对应的电网故障类型时，则初步分析得到电网出现故障，当没有找到对应的电网故障类型时，则说明电网没有出现故障。
  5. 根据权利要求3所述的基于微服务架构的电网故障诊断方法，其中，还包括：对电网故障数据库进行更新。
  6. 一种存储介质，用于存储计算机程序，所述计算机程序被处理器调用时用于执行权利要求1-5任一项所述基于微服务架构的电网故障诊断方法。
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