CN111934426A - Big data-based power grid equipment trend fault early warning system - Google Patents

Big data-based power grid equipment trend fault early warning system Download PDF

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CN111934426A
CN111934426A CN202010724173.3A CN202010724173A CN111934426A CN 111934426 A CN111934426 A CN 111934426A CN 202010724173 A CN202010724173 A CN 202010724173A CN 111934426 A CN111934426 A CN 111934426A
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module
unit
power grid
early warning
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CN111934426B (en
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樊锐轶
高志
李晓宁
袁龙
耿少博
梁华洋
宋健
罗晋
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State Grid Hebei Electric Power Co Ltd
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    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
    • H02J13/00002—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by monitoring
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
    • H02J13/00001—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by the display of information or by user interaction, e.g. supervisory control and data acquisition systems [SCADA] or graphical user interfaces [GUI]
    • 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

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  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Human Computer Interaction (AREA)
  • Supply And Distribution Of Alternating Current (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

本发明公开了一种基于大数据的电网设备趋势性故障预警系统，包括监控模块、传输模块、分析模块、审核模块和操控模块，所述监控模块的输出端与传输模块的输入端连接，所述传输模块的输出端与分析模块的输入端连接，所述分析模块的输出端与审核模块的输入端连接，所述审核模块的输出端与操控模块的输入端连接，所述监控模块包括采集单元、识别单元和转换单元，所述传输模块包括数据过滤单元和数据存储单元，所述分析模块包括数据预存单元和数据对比单元，所述操控模块包括自动匹配单元和人工管控单元。本发明监控范围广，故障点提前判断预警，提高电网设备使用的安全性和稳定性，减少电网设备故障造成的损失，减少运维人员巡检工作，适合推广。

Figure 202010724173

The invention discloses a power grid equipment trend fault early warning system based on big data, which includes a monitoring module, a transmission module, an analysis module, an audit module and a control module. The output end of the monitoring module is connected with the input end of the transmission module, so The output end of the transmission module is connected with the input end of the analysis module, the output end of the analysis module is connected with the input end of the audit module, the output end of the audit module is connected with the input end of the control module, and the monitoring module includes a collection unit, identification unit and conversion unit, the transmission module includes a data filtering unit and a data storage unit, the analysis module includes a data pre-storage unit and a data comparison unit, and the manipulation module includes an automatic matching unit and a manual control unit. The invention has a wide monitoring range, early judgment and early warning of fault points, improves the safety and stability of the use of power grid equipment, reduces losses caused by power grid equipment failures, and reduces the inspection work of operation and maintenance personnel, and is suitable for popularization.

Figure 202010724173

Description

一种基于大数据的电网设备趋势性故障预警系统An early warning system for power grid equipment trend failure based on big data

技术领域technical field

本发明涉及电网设备维护技术领域，尤其涉及一种基于大数据的电网设备趋势性故障预警系统。The invention relates to the technical field of power grid equipment maintenance, in particular to a trend fault early warning system for power grid equipment based on big data.

背景技术Background technique

大数据IT行业术语，是指无法在一定时间范围内用常规软件工具进行捕捉、管理和处理的数据集合，是需要新处理模式才能具有更强的决策力、洞察发现力和流程优化能力的海量、高增长率和多样化的信息资产；电力系统中各种电压的变电所及输配电线路组成的整体，称为电力网。它包含变电、输电、配电三个单元。电力网的任务是输送与分配电能，改变电压；随着社会的不断发展，大数据应用的更加广泛，而大数据在电网上的运用也已逐步进行推广使用；在电网设备运行中如果设备发生故障，会对用电造成影响，严重造成电路短路，造成重大事故，而现在电网运行中通常是巡检人员定期对电网设备进行检修维护，而有些故障则是已经发生后对其进行抢修，严重影响用电的稳定性，为此提出一种基于大数据的电网设备趋势性故障预警系统。Big data IT industry term refers to the collection of data that cannot be captured, managed and processed by conventional software tools within a certain time frame. , high growth rate and diversified information assets; the whole composed of substations and transmission and distribution lines of various voltages in the power system is called the power network. It contains three units of substation, transmission and distribution. The task of the power grid is to transmit and distribute electrical energy and change the voltage; with the continuous development of society, the application of big data is more extensive, and the application of big data in the power grid has been gradually promoted and used; if the equipment fails during the operation of the power grid equipment , will have an impact on electricity consumption, seriously cause circuit short-circuits, and cause major accidents. At present, during the operation of the power grid, the inspection personnel usually regularly repair and maintain the power grid equipment, and some faults are repaired after they have occurred, which has a serious impact. For the stability of electricity consumption, a big data-based trending fault early warning system for power grid equipment is proposed.

发明内容SUMMARY OF THE INVENTION

基于背景技术存在的技术问题，本发明提出了一种基于大数据的电网设备趋势性故障预警系统。Based on the technical problems existing in the background art, the present invention proposes a trending fault early warning system for power grid equipment based on big data.

本发明提出的一种基于大数据的电网设备趋势性故障预警系统，包括监控模块、传输模块、分析模块、审核模块和操控模块，所述监控模块的输出端与传输模块的输入端连接，所述传输模块的输出端与分析模块的输入端连接，所述分析模块的输出端与审核模块的输入端连接，所述审核模块的输出端与操控模块的输入端连接，所述监控模块包括采集单元、识别单元和转换单元，所述传输模块包括数据过滤单元和数据存储单元，所述分析模块包括数据预存单元和数据对比单元，所述操控模块包括自动匹配单元和人工管控单元。A power grid equipment trend fault early warning system based on big data proposed by the present invention includes a monitoring module, a transmission module, an analysis module, an audit module and a control module. The output end of the monitoring module is connected with the input end of the transmission module, so the The output end of the transmission module is connected with the input end of the analysis module, the output end of the analysis module is connected with the input end of the audit module, the output end of the audit module is connected with the input end of the control module, and the monitoring module includes a collection unit, identification unit and conversion unit, the transmission module includes a data filtering unit and a data storage unit, the analysis module includes a data pre-storage unit and a data comparison unit, and the manipulation module includes an automatic matching unit and a manual control unit.

优选地，所述监控模块用于对电网设备进行监控，所述采集单元用于对监控设备的实时运行数据进行采集，采集内容包括设备流量和设备温度，所述识别单元用于将采集单元采集的数据进行识别，并根据各种数据传输形式的不同进行分类，将分类后的数据传输至转换单元，所述转换单元用于件接收的分类数据根据内部规则进行转换，将采集到的各种数据转换为统一构架，用于确保数据在系统内无障碍传输，所述转换单元还用于将采集到的信息转换为具体数据值。Preferably, the monitoring module is used to monitor power grid equipment, the collection unit is used to collect real-time operating data of the monitoring equipment, the collected content includes equipment flow and equipment temperature, and the identification unit is used to collect the collection unit. The data is identified and classified according to various data transmission forms, and the classified data is transmitted to the conversion unit. The conversion unit is used to convert the classified data received by the piece according to internal rules. The data is converted into a unified framework, which is used to ensure the barrier-free transmission of data in the system, and the conversion unit is also used to convert the collected information into specific data values.

优选地，所述数据过滤单元用于将采集、转换信息分为正常数据和异常数据，所述数据过滤单元对采集、转换信息进行过滤，将正常信息过滤掉，并将异常数据传输至数据存储单元，所述数据存储单元将异常信息存储备份后传输。Preferably, the data filtering unit is used for dividing the collection and conversion information into normal data and abnormal data, the data filtering unit filters the collection and conversion information, filters out the normal information, and transmits the abnormal data to the data storage The data storage unit stores and backs up the abnormal information and transmits it.

优选地，所述正常信息为数据值小于等于额定值，所述异常信息为大于额定值，所述额定值为预先存储规定。Preferably, the normal information is that the data value is less than or equal to the rated value, the abnormal information is greater than the rated value, and the rated value is pre-stored.

优选地，所述分析模块通过数据预存单元中和数据对比单元对异常信息进行判断，数据预存单元用于将历史异常数据进行存储，数据对比单元用于将异常信息与历史异常数据进行对比，确定大于等于历史异常数据后，将异常信息传输至审核模块。Preferably, the analysis module judges the abnormal information through a data pre-storage unit and a data comparison unit, the data pre-storage unit is used to store historical abnormal data, and the data comparison unit is used to compare the abnormal information with the historical abnormal data, and determine After it is greater than or equal to the historical abnormal data, the abnormal information is transmitted to the audit module.

优选地，所述审核模块用于对异常信息再次进行判断，将异常信息与故障设备进行匹配，并通过可视化突出预警显示。Preferably, the auditing module is used to judge the abnormal information again, match the abnormal information with the faulty equipment, and highlight the early warning display through visualization.

优选地，所述监控模块、传输模块、分析模块和审核模块之间通过网络智能连接，且监控模块、传输模块、分析模块和审核模块位于同一终端设备内工作。Preferably, the monitoring module, transmission module, analysis module and audit module are intelligently connected through a network, and the monitoring module, transmission module, analysis module and audit module are located in the same terminal device and work.

优选的，所述操控模块用于将预警的故障设备在系统内匹配解决方案，所述自动匹配单元将匹配后的解决方案和预警故障设备地点传输至人工管控单元，所述人工管控单元用于派遣人员对预警固定点进行检修维护。Preferably, the control module is used to match the early-warning faulty equipment with a solution in the system, and the automatic matching unit transmits the matched solution and the location of the early-warning faulty equipment to the manual control unit, and the manual control unit is used for Dispatch personnel to overhaul and maintain the early warning fixed point.

本发明中，一种基于大数据的电网设备趋势性故障预警系统通过设有监控模块、传输模块、分析模块、审核模块和操控模块，通过监控模块对电网设备逐个进行实时监控，并将监控的数据进行转换统一框架，将转换后的数据通过数据过滤单元过滤，将异常信息通过数据存储单元备份后传输，分析模块将异常信息与预存的信息对比，通过审核模块对异常信息再次进行判断，将异常信息与故障设备进行匹配，并通过可视化突出预警显示，通过操控模块将预警地点和故障设备匹配解决方案，并派遣人员技术维修；本发明监控范围广，对故障点提前进行判断，提高电网设备使用的安全性和稳定性，减少由于电网设备故障造成的生产损失，减少运维人员巡检工作，适合进行推广。In the present invention, a power grid equipment trend fault early warning system based on big data is provided with a monitoring module, a transmission module, an analysis module, an audit module and a control module, and the monitoring module is used to monitor the power grid equipment one by one in real time, and monitor the monitored data in real time. The unified framework for data conversion, the converted data is filtered through the data filtering unit, the abnormal information is backed up and transmitted through the data storage unit, and the analysis module compares the abnormal information with the pre-stored information, and judges the abnormal information again through the audit module, The abnormal information is matched with the faulty equipment, and the early warning display is highlighted through visualization, and the early warning location and the faulty equipment are matched with the solution through the control module, and personnel are dispatched to perform technical maintenance; The safety and stability of use, reduce the production loss caused by the failure of the power grid equipment, reduce the inspection work of the operation and maintenance personnel, and are suitable for promotion.

附图说明Description of drawings

图1为本发明提出的一种基于大数据的电网设备趋势性故障预警系统的原理框图；Fig. 1 is the principle block diagram of a kind of power grid equipment trend fault early warning system based on big data proposed by the present invention;

图2为本发明提出的一种基于大数据的电网设备趋势性故障预警系统的部分结构框图；Fig. 2 is a partial structural block diagram of a power grid equipment trending fault early warning system based on big data proposed by the present invention;

图3为本发明提出的一种基于大数据的电网设备趋势性故障预警系统的部分结构框图。FIG. 3 is a partial structural block diagram of a power grid equipment trending fault early warning system based on big data proposed by the present invention.

具体实施方式Detailed ways

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

实施例Example

参照图1-3，一种基于大数据的电网设备趋势性故障预警系统，包括监控模块、传输模块、分析模块、审核模块和操控模块，监控模块的输出端与传输模块的输入端连接，传输模块的输出端与分析模块的输入端连接，分析模块的输出端与审核模块的输入端连接，审核模块的输出端与操控模块的输入端连接，监控模块包括采集单元、识别单元和转换单元，传输模块包括数据过滤单元和数据存储单元，分析模块包括数据预存单元和数据对比单元，操控模块包括自动匹配单元和人工管控单元，监控模块用于对电网设备进行监控，采集单元用于对监控设备的实时运行数据进行采集，采集内容包括设备流量和设备温度，识别单元用于将采集单元采集的数据进行识别，并根据各种数据传输形式的不同进行分类，将分类后的数据传输至转换单元，转换单元用于件接收的分类数据根据内部规则进行转换，将采集到的各种数据转换为统一构架，用于确保数据在系统内无障碍传输，转换单元还用于将采集到的信息转换为具体数据值，数据过滤单元用于将采集、转换信息分为正常数据和异常数据，数据过滤单元对采集、转换信息进行过滤，将正常信息过滤掉，并将异常数据传输至数据存储单元，数据存储单元将异常信息存储备份后传输，正常信息为数据值小于等于额定值，异常信息为大于额定值，额定值为预先存储规定，分析模块通过数据预存单元中和数据对比单元对异常信息进行判断，数据预存单元用于将历史异常数据进行存储，数据对比单元用于将异常信息与历史异常数据进行对比，确定大于等于历史异常数据后，将异常信息传输至审核模块，审核模块用于对异常信息再次进行判断，将异常信息与故障设备进行匹配，并通过可视化突出预警显示，监控模块、传输模块、分析模块和审核模块之间通过网络智能连接，且监控模块、传输模块、分析模块和审核模块位于同一终端设备内工作，操控模块用于将预警的故障设备在系统内匹配解决方案，自动匹配单元将匹配后的解决方案和预警故障设备地点传输至人工管控单元，人工管控单元用于派遣人员对预警固定点进行检修维护。Referring to Figures 1-3, a big data-based power grid equipment trend fault early warning system includes a monitoring module, a transmission module, an analysis module, an audit module and a control module. The output end of the monitoring module is connected to the input end of the transmission module, and the transmission The output end of the module is connected with the input end of the analysis module, the output end of the analysis module is connected with the input end of the audit module, the output end of the audit module is connected with the input end of the control module, and the monitoring module includes a collection unit, an identification unit and a conversion unit. The transmission module includes a data filtering unit and a data storage unit, the analysis module includes a data pre-storage unit and a data comparison unit, the control module includes an automatic matching unit and a manual control unit, the monitoring module is used to monitor the power grid equipment, and the acquisition unit is used to monitor the equipment. The real-time operation data is collected, and the collected content includes equipment flow and equipment temperature. The identification unit is used to identify the data collected by the collection unit, and classify it according to various data transmission forms, and transmit the classified data to the conversion unit. , the conversion unit is used to convert the received classified data according to internal rules, and convert the various collected data into a unified framework to ensure that the data is transmitted in the system without obstacles. The conversion unit is also used to convert the collected information. For specific data values, the data filtering unit is used to divide the collection and conversion information into normal data and abnormal data. The data filtering unit filters the collection and conversion information, filters out the normal information, and transmits the abnormal data to the data storage unit. The data storage unit stores and backs up the abnormal information and transmits it. The normal information is that the data value is less than or equal to the rated value, the abnormal information is greater than the rated value, and the rated value is pre-stored. Judging, the data pre-storage unit is used to store the historical abnormal data, and the data comparison unit is used to compare the abnormal information with the historical abnormal data. The abnormal information is judged again, the abnormal information is matched with the faulty equipment, and the early warning display is highlighted through visualization. The monitoring module, transmission module, analysis module and audit module are intelligently connected through the network, and the monitoring module, transmission module, analysis module and The audit module works in the same terminal equipment, the control module is used to match the early warning fault equipment with the solution in the system, the automatic matching unit transmits the matched solution and the warning fault equipment location to the manual control unit, and the manual control unit is used for Dispatch personnel to overhaul and maintain the early warning fixed point.

以上所述，仅为本发明较佳的具体实施方式，但本发明的保护范围并不局限于此，任何熟悉本技术领域的技术人员在本发明揭露的技术范围内，根据本发明的技术方案及其发明构思加以等同替换或改变，都应涵盖在本发明的保护范围之内。The above description is only a preferred embodiment of the present invention, but the protection scope of the present invention is not limited to this. The equivalent replacement or change of the inventive concept thereof shall be included within the protection scope of the present invention.

Claims (8)

1. The utility model provides a power grid equipment trend fault early warning system based on big data, includes monitoring module, transmission module, analysis module, examines and repair the module and controls the module, its characterized in that, monitoring module's output is connected with transmission module's input, transmission module's output is connected with analysis module's input, analysis module's output is connected with the input of examining and repairing the module, examine and repair module's output and control module's input and be connected, monitoring module includes acquisition unit, recognition cell and conversion unit, transmission module includes data filter unit and data storage unit, analysis module includes that data prestore unit and data contrast unit, it includes automatic matching unit and artifical management and control unit to control the module.
2. The big-data-based power grid equipment trend fault early warning system as claimed in claim 1, wherein the monitoring module is configured to monitor power grid equipment, the acquisition unit is configured to acquire real-time operation data of the monitoring equipment, the acquisition content includes equipment flow and equipment temperature, the identification unit is configured to identify the data acquired by the acquisition unit, classify the data according to different transmission forms of the data, and transmit the classified data to the conversion unit, the conversion unit is configured to convert the classified data received by the conversion unit according to internal rules, and convert the acquired data into a unified framework, so as to ensure that the data is transmitted without obstacles in the system, and the conversion unit is further configured to convert the acquired information into specific data values.
3. The big data-based power grid equipment trend fault early warning system as claimed in claim 1, wherein the data filtering unit is configured to divide the collected and converted information into normal data and abnormal data, the data filtering unit filters the collected and converted information, filters the normal information, and transmits the abnormal data to the data storage unit, and the data storage unit stores and backs up the abnormal information and transmits the abnormal information.
4. The big data-based power grid equipment trend fault early warning system as claimed in claim 3, wherein the normal information is that the data value is less than or equal to a rated value, the abnormal information is greater than the rated value, and the rated value is a pre-storage rule.
5. The big-data-based power grid equipment trend fault early warning system according to claim 4, wherein the analysis module judges the abnormal information through a data pre-storage unit and a data comparison unit, the data pre-storage unit is used for storing historical abnormal data, the data comparison unit is used for comparing the abnormal information with the historical abnormal data, and after the historical abnormal data is determined to be greater than or equal to the historical abnormal data, the abnormal information is transmitted to the auditing module.
6. The big-data-based power grid equipment trend fault early warning system as claimed in claim 5, wherein the auditing module is configured to determine the abnormal information again, match the abnormal information with the faulty equipment, and highlight the early warning display visually.
7. The big-data-based power grid equipment trend fault early warning system as claimed in claim 1, wherein the monitoring module, the transmission module, the analysis module and the auditing module are intelligently connected through a network, and the monitoring module, the transmission module, the analysis module and the auditing module are located in the same terminal equipment to work.
8. The big data-based power grid equipment trend fault early warning system according to claim 1, wherein the control module is configured to match early-warning fault equipment with a solution in the system, the automatic matching unit is configured to transmit the matched solution and a location of the early-warning fault equipment to a manual management and control unit, and the manual management and control unit is configured to dispatch personnel to repair and maintain an early-warning fixed point.
CN202010724173.3A 2020-07-24 2020-07-24 Power grid equipment trend fault early warning system based on big data Expired - Fee Related CN111934426B (en)

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