WO2016176913A1 - 电网高压断路器多维度大数据分析智能专家系统 - Google Patents

电网高压断路器多维度大数据分析智能专家系统 Download PDF

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Publication number
WO2016176913A1
WO2016176913A1 PCT/CN2015/083822 CN2015083822W WO2016176913A1 WO 2016176913 A1 WO2016176913 A1 WO 2016176913A1 CN 2015083822 W CN2015083822 W CN 2015083822W WO 2016176913 A1 WO2016176913 A1 WO 2016176913A1
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Prior art keywords
circuit breaker
database
analysis
monitoring
big data
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PCT/CN2015/083822
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English (en)
French (fr)
Inventor
杨启蓓
Original Assignee
杨启蓓
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Filing date
Publication date
Application filed by 杨启蓓 filed Critical 杨启蓓
Priority to EP15891164.4A priority Critical patent/EP3293853B1/en
Priority to CN201580001689.2A priority patent/CN106663963B/zh
Publication of WO2016176913A1 publication Critical patent/WO2016176913A1/zh
Priority to US15/804,552 priority patent/US10539618B2/en

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    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02H—EMERGENCY PROTECTIVE CIRCUIT ARRANGEMENTS
    • H02H1/00—Details of emergency protective circuit arrangements
    • H02H1/0092—Details of emergency protective circuit arrangements concerning the data processing means, e.g. expert systems, neural networks
    • 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
    • G01R31/327—Testing of circuit interrupters, switches or circuit-breakers
    • G01R31/3271—Testing of circuit interrupters, switches or circuit-breakers of high voltage or medium voltage devices
    • G01R31/3272—Apparatus, systems or circuits therefor
    • G01R31/3274—Details related to measuring, e.g. sensing, displaying or computing; Measuring of variables related to the contact pieces, e.g. wear, position or resistance
    • 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
    • H02J13/00032—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for
    • H02J13/00034—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for the elements or equipment being or involving an electric power substation
    • 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
    • H02J13/00032—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for
    • H02J13/00036—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for the elements or equipment being or involving switches, relays or circuit breakers
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R19/00—Arrangements for measuring currents or voltages or for indicating presence or sign thereof
    • G01R19/25—Arrangements for measuring currents or voltages or for indicating presence or sign thereof using digital measurement techniques
    • G01R19/2513—Arrangements for monitoring electric power systems, e.g. power lines or loads; Logging
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00—Testing or monitoring of control systems or parts thereof
    • G05B23/02—Electric testing or monitoring
    • G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0218—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
    • G05B23/0224—Process history based detection method, e.g. whereby history implies the availability of large amounts of data
    • G05B23/0227—Qualitative history assessment, whereby the type of data acted upon, e.g. waveforms, images or patterns, is not relevant, e.g. rule based assessment; if-then decisions
    • G05B23/0229—Qualitative history assessment, whereby the type of data acted upon, e.g. waveforms, images or patterns, is not relevant, e.g. rule based assessment; if-then decisions knowledge based, e.g. expert systems; genetic algorithms
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00—Testing or monitoring of control systems or parts thereof
    • G05B23/02—Electric testing or monitoring
    • G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0259—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the response to fault detection
    • 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
    • H02J13/00032—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for
    • H02J13/00036—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for the elements or equipment being or involving switches, relays or circuit breakers
    • H02J13/0004—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for the elements or equipment being or involving switches, relays or circuit breakers involved in a protection system
    • 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
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
    • 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
    • Y04S10/30—State monitoring, e.g. fault, temperature monitoring, insulator monitoring, corona discharge

Definitions

  • the invention relates to the field of intelligent monitoring of high voltage circuit breakers of power grids, in particular to a system for real-time multi-dimensional big data intelligent analysis of grid high voltage circuit breakers or high voltage circuit breaker clusters, and can provide operation and maintenance decision reference system.
  • AC and DC power systems have a large number of circuit breaker components that require real-time intelligent monitoring and control.
  • the usual technical measure is to use the measurement and control device to transmit the position signal of the circuit breaker and its auxiliary mechanism to the remote monitoring system, which in turn performs remote monitoring and control of the circuit breaker.
  • the circuit breaker In the electrical equipment of the power system, the circuit breaker is one of the important control equipments. Its reliability is directly related to the safety and stability of the whole system. Many major accidents or system cracking and power failures are related to the fault of the circuit breaker. As the core component of the power system, the circuit breaker plays an extremely important role in maintaining and ensuring the stable operation of the power system.
  • the main faults of the circuit breaker are mechanical faults, insulation faults, arc-extinguishing faults and partial heating faults of the conductors, and mechanical faults occur most frequently. Therefore, timely understanding of the working state of the circuit breaker has a great effect on improving the reliability of the power supply.
  • the traditional circuit breaker online monitoring device mainly monitors the mechanical operation times of the circuit breaker and the accumulated running time of the switch. Most of the monitoring devices have simple functions, and only monitor the same parameters of one or more devices, and cannot combine the faults. Diagnostic techniques and online monitoring techniques, and analytical diagnostics are limited to excessive warnings.
  • the object of the present invention is to provide a multi-dimensional big data analysis intelligent expert system for grid high voltage circuit breakers for the problems existing in the prior art, which is an intelligent expert system for real-time monitoring of grid high voltage circuit breakers and multi-dimensional big data analysis. It can monitor the circuit breaker in a normal state in real time, and gather massive cloud data such as real-time monitoring, technical supervision, safety risk assessment, and warehouse spare parts, and provide decision for scientific operation and maintenance management with the help of multi-dimensional big data intelligent analysis function. in accordance with.
  • the invention provides a multi-dimensional big data analysis intelligent expert system for a grid high voltage circuit breaker, wherein the multi-dimensional big data analysis intelligent expert system of the high voltage circuit breaker comprises a high voltage circuit breaker or a high voltage circuit breaker cluster (hereinafter collectively referred to as a circuit breaker) cloud database and
  • the intelligent expert decision terminal, the circuit breaker cluster cloud database includes a circuit breaker real-time monitoring database, a circuit breaker technical supervision database, a circuit breaker safety risk technical indicator database, a circuit breaker warehouse reserve product spare parts database, and the intelligent expert decision terminal includes equipment safety risk
  • the evaluation module, the equipment maintenance optimal solution ranking module, and the mobile terminal online dynamic early warning module, the circuit breaker cluster cloud database dynamically performs data acquisition, and the intelligent expert decision terminal performs historical analysis, trend analysis, and variable on the acquired data. Analysis, comparative analysis, and factor analysis.
  • the real-time monitoring database of the circuit breaker includes a working voltage, an operating current, a closing and closing coil state, a three-phase contact position, a closing action counter, an operating mechanism state, and a motor obtained from the substation automation system and the on-site monitoring and control device.
  • Pressure counter SF6 gas pressure, isolation switch position, grounding knife position.
  • circuit breaker action process and the breaking current value of the circuit breaker protection device, the line protection device, and related components such as the main transformer, the bus bar, the reactance, and the capacitor protection device are obtained from the relay protection management information system.
  • a fault recording device is further included, and the fault current value of the circuit breaker breaking and the three-phase contact action process are obtained from the fault recorder.
  • the inherent design parameters of the circuit breaker are included, and the inherent design parameters include the opening and closing waveform, speed, time, overtravel, opening distance, bounce, voltage of the operating coil, current, core action time, and power.
  • the invention also provides a method for monitoring a circuit breaker by using the above-mentioned multi-dimensional big data analysis intelligent expert system for grid high voltage circuit breaker, which is characterized in that it comprises the following steps:
  • Step S111 obtaining working parameters of the high voltage circuit breaker in the power grid from the substation automation system and the on-site monitoring and control device, the working parameters of the power grid include the working voltage of the circuit breaker, the working current, the state of the opening and closing coil, the position of the three-phase contact, Split closing action counter, operating mechanism state, motor pressure counter, SF6 gas pressure, isolation switch position, grounding knife position;
  • Step S112 obtaining a circuit breaker action process and a breaking current value in the circuit breaker protection device, the line protection device, and the related component protection device from the relay protection management information system of the substation;
  • Step S113 obtaining a fault current value of the circuit breaker breaking and a three-phase contact action process from the fault recording device;
  • Step S114 Obtain an intrinsic parameter related to the circuit breaker from the circuit breaker cluster cloud database, where the inherent parameters include a circuit breaker national technical standard, a circuit breaker manufacturer design parameter, a test acceptance parameter, a device defect account, and a device reliability statistics. It also includes action characteristic test, insulation preventive test, and SF6 gas test;
  • Step S115 performing historical analysis, trend analysis, variable analysis, comparative analysis, and factor analysis based on the operating parameters of the circuit breaker that have been acquired and the inherent parameters related to the circuit breaker;
  • step S116 based on the analysis result, the device state security risk assessment, the device maintenance optimal solution ranking, and the mobile terminal online dynamic early warning module are invoked to obtain the operation and maintenance decision suggestion.
  • the circuit breaker cluster cloud database includes a circuit breaker real-time monitoring database for providing real-time operating parameters of the circuit breaker, a circuit breaker technical supervision database for providing the inherent parameters of the circuit breaker, and a circuit breaker for providing the circuit breaker. Database of safety risk technical indicators and database of spare parts for circuit breakers.
  • the data in the circuit breaker technical supervision database for providing the inherent parameters of the circuit breaker includes the opening and closing waveform, speed, time, overtravel, open distance, bounce, voltage of the operating coil, current, core action time, and power.
  • circuit breaker safety risk technical indicator database for providing the safety risk technical indicator of the circuit breaker includes a power grid system risk database, a circuit breaker ontology risk database, and an overhaul operation risk database.
  • the data in the circuit breaker storage stock spare parts database for providing the specification data of the circuit breaker includes the main equipment brand, the spare parts name, the specification model and the like.
  • Multi-dimensional big data intelligent analysis is based on the real-time monitoring database of circuit breaker, circuit breaker technical supervision database, circuit breaker safety risk technical index database, circuit breaker warehouse reserve spare parts database, with high reliability, the above four
  • the database can be upgraded automatically or manually as needed.
  • FIG. 1 is a block diagram of the system of the present invention
  • FIG. 2 is a diagram of a real-time monitoring database of the circuit breaker of the present invention.
  • Figure 3 is a diagram showing the technical supervision database of the circuit breaker of the present invention.
  • FIG. 4 is a database diagram of a circuit breaker safety risk technical indicator of the present invention.
  • Figure 5 is a database diagram of the spare parts of the circuit breaker warehouse
  • FIG. 6 is a flow chart of a method for monitoring a circuit breaker by a multi-dimensional big data analysis intelligent expert system of a grid high voltage circuit breaker according to the present invention.
  • the invention provides a multi-dimensional big data analysis intelligent expert system for a grid high voltage circuit breaker, wherein the grid high voltage circuit breaker multi-dimensional big data analysis intelligent expert system comprises a circuit breaker cluster cloud database and an intelligent expert decision terminal, the circuit breaker cluster cloud
  • the database includes a real-time monitoring database of the circuit breaker, a technical supervision database of the circuit breaker, a database of safety risk technical indicators of the circuit breaker, and a database of spare parts for the circuit breaker storage.
  • the intelligent expert decision-making terminal includes a device security risk assessment module, a device maintenance optimal solution ranking module,
  • the mobile terminal online dynamic early warning module the circuit breaker cluster cloud database dynamically performs data acquisition, and the intelligent expert decision terminal performs historical analysis, trend analysis, variable analysis, comparative analysis and factor analysis on the acquired data.
  • the real-time monitoring database of the circuit breaker includes a working voltage, an operating current, a closing and closing coil state, a three-phase contact position, a closing action counter, an operating mechanism state, and a motor obtained from the substation automation system and the on-site monitoring and control device.
  • Pressure counter SF6 gas pressure, isolation switch position, grounding knife position.
  • the action process and the breaking current value of the circuit breaker in the protection device of the circuit breaker protection device, the line protection device, and the related components are obtained from the relay protection management information system of the substation automation system. .
  • a fault recording device is further included, and the fault current value of the circuit breaker breaking and the three-phase contact action process are obtained from the fault recorder.
  • the inherent design parameters of the circuit breaker are included, and the inherent design parameters include the opening and closing waveform, speed, time, overtravel, opening distance, bounce, voltage of the operating coil, current, core action time, and power.
  • the invention also provides a method for monitoring a circuit breaker by using the aforementioned multi-dimensional big data analysis intelligent expert system of a grid high voltage circuit breaker, comprising the following steps:
  • Step S111 obtaining operating parameters of the circuit breaker in the power grid from the substation automation system and the on-site measurement and control device, the working parameters of the power grid include the working voltage of the circuit breaker, the working current, the state of the opening and closing coil, the position of the three-phase contacts, and the points Closing action counter, operating mechanism state, motor pressure counter, SF6 gas pressure, isolation switch position, grounding knife position;
  • Step S112 obtaining a circuit breaker action process and a breaking current in the protection device of the circuit breaker protection device, the line protection device, and related components (such as main transformer, bus bar, reactor, capacitor, etc.) from the relay protection management information system of the substation value;
  • Step S113 obtaining a fault current value of the circuit breaker breaking and a three-phase contact action process from the fault recording device;
  • Step S114 Obtain an intrinsic parameter related to the circuit breaker from the circuit breaker cluster cloud database, where the inherent parameters include a circuit breaker national technical standard, a circuit breaker manufacturer design parameter, a test acceptance parameter, a device defect account, and a device reliability statistics;
  • Step S115 performing historical analysis, trend analysis, variable analysis, comparative analysis, and factor analysis based on the operating parameters of the circuit breaker that have been acquired and the inherent parameters related to the circuit breaker;
  • step S116 based on the analysis result, the device state security risk assessment, the device maintenance optimal solution ranking, and the mobile terminal online dynamic early warning module are invoked to obtain the operation and maintenance decision suggestion.
  • the circuit breaker cluster cloud database includes a circuit breaker real-time monitoring database for providing real-time operating parameters of the circuit breaker, a circuit breaker technical supervision database for providing the inherent parameters of the circuit breaker, and a circuit breaker for providing the circuit breaker. Database of safety risk technical indicators and database of spare parts for circuit breakers.
  • the data in the circuit breaker technical supervision database for providing the inherent parameters of the circuit breaker includes the opening and closing waveform, speed, time, overtravel, open distance, bounce, voltage of the operating coil, current, core action time, and power.
  • circuit breaker safety risk technical indicator database for providing the safety risk technical indicator of the circuit breaker includes a power grid system risk database, a circuit breaker ontology risk database, and an overhaul operation risk database.
  • the data in the circuit breaker storage stock spare parts database for providing the specification data of the circuit breaker includes the main equipment brand, the spare parts name, the specification model and the like.
  • the present invention provides a multi-dimensional big data analysis intelligent expert system for a high-voltage circuit breaker of a power grid to solve a high-voltage circuit breaker in a substation automation system, a relay protection management information system, a fault recording management system, an online monitoring system, and a warehouse reserve product spare part.
  • the information islands of eight areas such as management system, preventive test technology supervision and management system, operation and maintenance management system, and original equipment supervision and inspection and monitoring system, are online monitoring and dynamic evaluation and early warning of circuit breaker equipment based on wide-area information technology.
  • the control system the system consists of a high voltage circuit breaker cluster cloud database and an intelligent expert decision terminal.
  • the data extracted by the high voltage circuit breaker cluster cloud database is derived from the circuit breaker or circuit breaker cluster (hereinafter collectively referred to as circuit breaker). Comprehensive data.
  • the intelligent expert decision terminal includes a device state security risk assessment module, a device maintenance optimal solution ranking module,
  • the mobile terminal online dynamic early warning module is provided on the basis of multi-dimensional intelligent analysis functions such as historical analysis, trend analysis, variable analysis, comparative analysis and factor analysis.
  • Circuit breaker cluster cloud database consists of four parts: circuit breaker real-time monitoring database, circuit breaker technical supervision database, circuit breaker safety risk technical index database, and circuit breaker warehouse reserve spare parts database.
  • Circuit breaker real-time monitoring database
  • the real-time monitoring database of the circuit breaker obtains the working voltage, working current, closing and closing coil state, three-phase contact position, opening and closing action counter, operating mechanism state, motor pressure counter of the circuit breaker equipment from the substation automation system and the on-site monitoring and control device. , SF6 gas pressure, isolation switch position, grounding knife position.
  • the circuit breaker action process and the breaking current value of the circuit breaker protection device, the line protection device, and the related components are obtained from the relay protection management information system of the substation.
  • the fault current value of the breaker breaking and the three-phase contact action process are obtained from the fault recorder.
  • the above process can define a cluster cloud database of different circuit breakers, different brands and different models according to needs.
  • the circuit breaker technical supervision database includes national technical standards for circuit breakers, preventive test procedures for circuit breakers, design parameters of circuit breaker manufacturers, and factory inspection data, on-site installation, adjustment and acceptance parameters, equipment defect accounts, equipment reliability statistics, and Including action characteristic test, insulation preventive test, SF6 gas test;
  • the circuit breaker technical supervision database also includes data obtained by the on-line measuring device of the circuit breaker specially added for the online monitoring of the circuit breaker, such as the opening and closing waveform, speed, time, overtravel, open distance, bounce, and synchronization of the operating mechanism; Voltage, current, core action time, power; motor voltage, current, power;
  • Circuit breaker safety risk technical indicators database
  • Circuit breaker warehouse reserve spare parts database
  • the contents of the new parts are the main equipment brand, spare parts name, specification model, quantity, unit price, shelf life, production date, and inspection personnel; the contents of the old parts are the main equipment brand and the original main equipment name. , specifications, models, places of use (equipment numbers in the grid, for lines, main transformers, capacitors, reactors, etc.), start date of use, date of replacement, replacement personnel and their skill level.
  • the acquisition of cloud data of the circuit breaker cluster is carried out dynamically, and is performed according to the historical analysis, trend analysis, variable analysis, comparative analysis, and factor analysis functions of the intelligent expert decision terminal.
  • the smart terminal provides the following functions:
  • One of the functions sorting the circuit breaker with the highest breaking current, focusing on the monitoring of its electrical and mechanical characteristics, and paying attention to the comparison between the data of the power failure preventive test and the historical data.
  • Function 2 Sort the circuit breakers with the highest number of actions, pay attention to their electrical and mechanical characteristics, and propose a reasonable arrangement of the operation sequence (such as balancing the number of operations of the circuit breaker used to switch capacitor banks), and Directly combined with the remote control system to achieve automatic operation of the circuit breaker.
  • Function 3 Sort the circuit breakers for the number of power outages, pay attention to the type, name, model, replacement skill level and upgrade of the spare parts to be replaced, analyze the main influencing factors and improve them.
  • Function 4 Screen the circuit breakers with the most power outage time, pay attention to the rationality of the maintenance plan, analyze the main influencing factors and improve them.
  • Function 5 Screen the circuit breaker with the highest maintenance cost and pay attention to the rationality of the maintenance plan.
  • Function 6 Perform big data analysis on the historical data of the circuit breaker according to brand, model and batch, find out the trend of electrical, mechanical and SF6 insulation characteristics of each circuit breaker or circuit breaker cluster, and arrange according to the trend and maintenance work. Contrast, from which to find unsafe hidden dangers and signs.
  • Function 7 Based on wide-area information technology, online data analysis of the closing speed of the circuit breaker operation and the coordination of the operation mechanism, to identify major hidden dangers of mechanical failure, and to provide operational warnings for equipment with potential safety hazards, even Closed latches operate in circuit breakers with significant potential hazards.
  • Function 8 Evaluate and analyze the power grid, equipment and operation risks brought by the circuit breaker, and propose risk control measures, including supplier and contractor management, safety technology, prevention and correction, emergency and accident management, production management, etc. content;
  • Function 9 According to the results of multi-dimensional big data analysis, the mobile security warning signal is sent to the security technology management personnel, and the management personnel can access relevant information through terminals such as tablet computers, collection computers, and laptop computers;
  • circuit breaker manufacturer provides targeted improvements such as structural design, spare parts quality, and maintenance personnel skills training to further improve the improvement effect of the above functions and improve the operation and maintenance and safe operation of the circuit breaker. economic level.
  • Step 1 Get the real-time monitoring database:
  • Step 2 Obtain the circuit breaker technical supervision database:
  • the circuit breaker technical supervision database includes national technical standards for circuit breakers, preventive test procedures for circuit breakers, design parameters of circuit breaker manufacturers, and factory inspection data, on-site installation, adjustment and acceptance parameters, equipment defect accounts, equipment reliability statistics, and Including action characteristic test, insulation preventive test, SF6 gas test;
  • the circuit breaker technical supervision database also includes data obtained by the on-line measuring device of the circuit breaker specially added for the online monitoring of the circuit breaker, such as the opening and closing waveform, speed, time, overtravel, open distance, bounce, and synchronization of the operating mechanism; Voltage, current, core action time, power; motor voltage, current, power;
  • Step 3 Obtain the database of circuit breaker safety risk technical indicators:
  • Step 4 Obtain the database of spare parts for the circuit breaker warehouse:
  • the main contents of the new parts are the main equipment brand, spare parts name, specification model, quantity, unit price, shelf life, production date, and inspection personnel.
  • the main contents of the old parts are the main equipment brand, the original equipment name, the specification model, the use place (the equipment number in the power grid, used for the line, main transformer, capacitor, reactor, etc.), the date of use, the date of replacement, the replacement personnel and skill level.
  • the data in the above database is the highest quality data in the power system, and it is critical to ensure the accuracy of big data intelligent analysis.
  • Step 5 Analyze the above four kinds of data using functions such as history, trend, variables, comparison, and factors.
  • Step 6 Call the device state security risk assessment, the optimal sequence of equipment maintenance, and the online dynamic early warning module of the mobile terminal as needed to obtain operational and maintenance decision suggestions. After the decision suggestion or the intelligent strategy is gradually optimized and perfected, the system of the present invention can also be connected with the remote control system to realize the dynamic control of the circuit breaker.
  • an operation and maintenance strategy is proposed, such as continuing operation, exiting operation, maintenance plan, etc., thereby implementing full lifecycle management of the power system circuit breaker, realizing scientific economic operation and maintenance, and improving The goal of safety level.

Abstract

一种电网高压断路器多维度大数据分析智能专家系统和使用该系统监测断路器的方法，该系统包括断路器集群云数据库和智能专家决策终端，断路器集群数据库包括断路器实时监控数据库、断路器技术监督数据库、断路器安全风险技术指标数据库、断路器仓储备品备件数据库，智能专家决策终端包括设备安全风险评估模块、设备维护最优方案排序模块、移动终端在线动态预警模块，断路器集群数据库动态地进行数据的获取，智能专家决策终端对获取的数据进行历史分析、趋势分析、变量分析、对比分析以及因素分析。该系统以大数据分析技术为基础，通过对在线、离线的海量云数据进行多维度分析，实现对断路器统一实时监控管理，提供断路器状态安全风险评估、设备维护最优方案排序、移动终端在线动态预警功能等功能，提升断路器设备运行维护的安全经济水平，更好地对断路器实施设备全生命周期管理。

Description

电网高压断路器多维度大数据分析智能专家系统 技术领域
本发明涉及电网高压断路器智能监测领域，具体地说，涉及对电网高压断路器或高压断路器集群进行实时多维度大数据智能分析，并能提供运维决策参考的系统。
背景技术
交流和直流电力系统有大量的断路器元件，需要对其进行实时智能监视和控制。通常的技术措施是利用测控装置将断路器及其辅助机构的位置信号传送到远端的监控系统，监控系统又反过来对该断路器进行远方监视和控制。
在电力系统的电气设备中，断路器是重要的控制设备之一，其可靠性直接关系到整个系统的安全与稳定，诸多发生的重大事故或系统解裂停电都和断路器的故障有关。断路器作为电力系统的核心元件，在维护和保证电力系统稳定运行方面有着极其重要的作用。断路器的主要故障有机械故障、绝缘故障、灭弧故障和导体部分发热故障等，而机械故障出现最为频繁。因此，及时了解断路器的工作状态对改善供电可靠性的作用巨大。传统的断路器在线监测装置主要是对断路器机械操作次数、开关累计运行时间等参数的监测，多数监测装置的功能较为简单，仅对一种或多种设备的同类参数进行监测，无法结合故障诊断技术和在线监测技术，而且分析诊断仅限于超标预警。
此外，现有的自动化系统的各种数据之间是隔离的，没有专门对断路器的综合数据进行汇总分析，不能对断路器的工作状况进行评估，因而造成大量实时监控数据失去其应有的价值，不利于系统经济地开展断路器运行维护管理，从而难以及时对断路器进行科学维护，导致重大安全隐患逐步积累，为电网安全和人身安全带来巨大风险。
发明内容
本发明的目的是针对现有技术存在的问题提供一种电网高压断路器多维度大数据分析智能专家系统，该系统是对电网高压断路器进行实时监控并作出多维度大数据分析的智能专家系统，可以实时监控断路器是否处于正常状态，并汇聚实时监控、技术监督、安全风险评估、仓储备品备件等海量云数据，在多维度大数据智能分析功能帮助下，为科学开展运行维护管理提供决策依据。
本发明提供一种电网高压断路器多维度大数据分析智能专家系统，所述电网高压断路器多维度大数据分析智能专家系统包括高压断路器或高压断路器集群(以下统称断路器)云数据库和智能专家决策终端，所述断路器集群云数据库包括断路器实时监控数据库、断路器技术监督数据库、断路器安全风险技术指标数据库、断路器仓储备品备件数据库，所述智能专家决策终端包括设备安全风险评估模块、设备维护最优方案排序模块、移动终端在线动态预警模块，所述断路器集群云数据库动态地进行数据的获取，所述智能专家决策终端对获取的数据进行历史分析、趋势分析、变量分析、对比分析以及因素分析。
进一步地，所述断路器实时监控数据库包括从变电站自动化系统和现场测控装置获取的工作电压、工作电流、分合闸线圈状态、三相触头位置、分合闸动作计数器、操作机构状态、马达打压计数器、SF6气体压力、隔离开关位置、接地刀闸位置。
进一步地，从继电保护管理信息系统获取断路器保护装置、线路保护装置、相关元件如主变、母线、电抗、电容器保护装置中的断路器动作过程和开断电流值。
进一步地，还包括故障录波装置，从所述故障录波装置中获取断路器开断的故障电流值和三相触头动作过程。
进一步地，还包括断路器的固有设计参数，所述固有设计参数包括分合闸波形、速度、时间、超程、开距、弹跳、操作线圈的电压、电流、铁芯动作时间、功率。
本发明还提供一种使用前述的电网高压断路器多维度大数据分析智能专家系统监测断路器的方法，其特征在于，包括如下步骤：
步骤S111、从变电站自动化系统和现场测控装置中获取电网中的高压断路器的工作参数，该电网的工作参数包括断路器的工作电压、工作电流、分合闸线圈状态、三相触头位置、分合闸动作计数器、操作机构状态、马达打压计数器、SF6气体压力、隔离开关位置、接地刀闸位置；
步骤S112、从变电站的继电保护管理信息系统中获取断路器保护装置、线路保护装置、相关元件保护装置中的断路器动作过程和开断电流值；
步骤S113、从故障录波装置中获取断路器开断的故障电流值及三相触头动作过程；
步骤S114、从断路器集群云数据库获取与断路器相关的固有参数，所述固有参数包括断路器国家技术标准、断路器生产厂家设计参数、调试验收参数、设备缺陷台账、设备可靠性统计，而且还包括动作特性检验、绝缘预防性试验、SF6气体检验；
步骤S115、基于已经获取的断路器的工作参数和与断路器相关的固有参数，进行历史分析、趋势分析、变量分析、对比分析、因素分析；
步骤S116、基于分析结果，调用设备状态安全风险评估、设备维护最优方案排序、移动终端在线动态预警模块，获取运行维护决策建议。
进一步地，所述断路器集群云数据库包括用于提供断路器的实时工作参数的断路器实时监控数据库、用于提供断路器的固有参数的断路器技术监督数据库、用于提供断路器的断路器安全风险技术指标数据库以及断路器仓储备品备件数据库。
进一步地，用于提供断路器的固有参数的断路器技术监督数据库中的数据包括分合闸波形、速度、时间、超程、开距、弹跳、操作线圈的电压、电流、铁芯动作时间以及功率。
进一步地，用于提供断路器的安全风险技术指标的断路器安全风险技术指标数据库包括电网系统风险数据库、断路器本体风险数据库以及检修作业风险数据库。
进一步地，用于提供断路器的规格数据的断路器仓储备品备件数据库中的数据包括主设备品牌、备品备件名称、规格型号等规格参数。
本发明与现有技术比较的优点有：
1.从自动化系统、继电保护管理信息系统、故障录波装置、技术监督数据、仓储备品备件数据等各种云数据库中单独抽取高质量的数据，创立特有的断路器元件专业数据库，为智能分析奠定基础。
2.不仅对单个断路器进行智能监控，还能对断路器的集群(不同电压等级、不同型号、不同区域、不同批次)进行智能监控。
3.多维度大数据智能分析是建立在断路器实时监控数据库、断路器技术监督数据库、断路器安全风险技术指标数据库、断路器仓储备品备件数据库的基础上，具有较高的可靠性，上述四种数据库可按需要自动或人工升级。
4.能提供断路器设备状态安全风险评估、设备维护最优方案排序，能减少电力系统对断路器停电检修的盲目性，降低供电成本。
5.与仓储物流的备品备件库存对接，方便企业内部调配检修资源和库存管理，提高库存周转率，节约仓储物流资金。
6.能实现移动终端(手机、平板电脑、笔记本电脑等)在线动态预警。
附图说明
图1是本发明的系统结构图；
图2是本发明的断路器实时监控数据库图；
图3是本发明的断路器技术监督数据库图；
图4是本发明的断路器安全风险技术指标数据库图；
图5是断路器仓储备品备件数据库图；
图6是本发明的电网高压断路器多维度大数据分析智能专家系统监测断路器的方法的流程图。
具体实施方式
下面结合附图进一步阐明本发明，应理解这些实施例仅用于说明本发明而不用于限制本发明的范围，在阅读了本发明之后，本领域技术人员对本发明的各种等效形式的修改均落于本申请所附权利要求所限定的范围。
本发明提供一种电网高压断路器多维度大数据分析智能专家系统，所述电网高压断路器多维度大数据分析智能专家系统包括断路器集群云数据库和智能专家决策终端，所述断路器集群云数据库包括断路器实时监控数据库、断路器技术监督数据库、断路器安全风险技术指标数据库、断路器仓储备品备件数据库，所述智能专家决策终端包括设备安全风险评估模块、设备维护最优方案排序模块、移动终端在线动态预警模块，所述断路器集群云数据库动态地进行数据的获取，所述智能专家决策终端对获取的数据进行历史分析、趋势分析、变量分析、对比分析以及因素分析。
进一步地，所述断路器实时监控数据库包括从变电站自动化系统和现场测控装置获取的工作电压、工作电流、分合闸线圈状态、三相触头位置、分合闸动作计数器、操作机构状态、马达打压计数器、SF6气体压力、隔离开关位置、接地刀闸位置。
进一步地，从变电站自动化系统的继电保护管理信息系统中获取断路器保护装置、线路保护装置、相关元件(主变、母线、电抗、电容器等)保护装置中断路器动作过程和开断电流值。
进一步地，还包括故障录波装置，从所述故障录波装置中获取断路器开断的故障电流值和三相触头动作过程。
进一步地，还包括断路器的固有设计参数，所述固有设计参数包括分合闸波形、速度、时间、超程、开距、弹跳、操作线圈的电压、电流、铁芯动作时间、功率。
本发明还提供一种使用前述的电网高压断路器多维度大数据分析智能专家系统监测断路器的方法，包括如下步骤：
步骤S111、从变电站自动化系统和现场测控装置中获取电网中的断路器的工作参数，该电网的工作参数包括断路器的工作电压、工作电流、分合闸线圈状态、三相触头位置、分合闸动作计数器、操作机构状态、马达打压计数器、SF6气体压力、隔离开关位置、接地刀闸位置；
步骤S112、从变电站的继电保护管理信息系统中获取断路器保护装置、线路保护装置、相关元件(如主变、母线、电抗器、电容器等)保护装置中的断路器动作过程和开断电流值；
步骤S113、从故障录波装置中获取断路器开断的故障电流值及三相触头动作过程；
步骤S114、从断路器集群云数据库获取与断路器相关的固有参数，所述固有参数包括断路器国家技术标准、断路器生产厂家设计参数、调试验收参数、设备缺陷台账、设备可靠性统计；
步骤S115、基于已经获取的断路器的工作参数和与断路器相关的固有参数，进行历史分析、趋势分析、变量分析、对比分析、因素分析；
步骤S116、基于分析结果，调用设备状态安全风险评估、设备维护最优方案排序、移动终端在线动态预警模块，获取运行维护决策建议。
进一步地，所述断路器集群云数据库包括用于提供断路器的实时工作参数的断路器实时监控数据库、用于提供断路器的固有参数的断路器技术监督数据库、用于提供断路器的断路器安全风险技术指标数据库以及断路器仓储备品备件数据库。
进一步地，用于提供断路器的固有参数的断路器技术监督数据库中的数据包括分合闸波形、速度、时间、超程、开距、弹跳、操作线圈的电压、电流、铁芯动作时间以及功率。
进一步地，用于提供断路器的安全风险技术指标的断路器安全风险技术指标数据库包括电网系统风险数据库、断路器本体风险数据库以及检修作业风险数据库。
进一步地，用于提供断路器的规格数据的断路器仓储备品备件数据库中的数据包括主设备品牌、备品备件名称、规格型号等规格参数。
此外，本发明提供了一种电网高压断路器多维度大数据分析智能专家系统解决了高压断路器在变电站自动化系统、继电保护管理信息系统、故障录波管理系统、在线监测系统、仓储备品备件管理系统、预防性试验技术监督管理系统、运行维护管理系统以及原厂设备监造和检测监测系统等八个领域的信息孤岛，是基于广域信息技术的断路器设备在线监测与动态评估、预警及管控系统；系统由高压断路器集群云数据库和智能专家决策终端两部分组成，其中：所述高压断路器集群云数据库抽取的数据来源于断路器或断路器集群(以下统称断路器)运行的综合数据。所述智能专家决策终端包括设备状态安全风险评估模块、设备维护最优方案排序模块、 移动终端在线动态预警模块，是在历史分析、趋势分析、变量分析、对比分析、因素分析等多维度智能分析功能基础上提供的。
1)断路器集群云数据库由断路器实时监控数据库、断路器技术监督数据库、断路器安全风险技术指标数据库、断路器仓储备品备件数据库四个部分组成。
1.1)断路器实时监控数据库：
断路器实时监控数据库从变电站自动化系统及现场测控装置中获取断路器设备的工作电压、工作电流、分合闸线圈状态、三相触头位置、分合闸动作计数器、操作机构状态、马达打压计数器、SF6气体压力、隔离开关位置、接地刀闸位置。
从变电站的继电保护管理信息系统中获取断路器保护装置、线路保护装置、相关元件(如主变、母线、电抗器、电容器等)保护装置中断路器动作过程和开断电流值。
从故障录波装置中获取断路器开断的故障电流值及三相触头动作过程。
上述过程可以根据需要定义不同变电站、不同品牌、不同型号组成的断路器集群云数据库。
1.2)断路器技术监督数据库：
断路器技术监督数据库包括断路器国家技术标准、断路器预防性试验规程、断路器生产厂家的设计参数，以及出厂检验数据、现场安装、调试验收参数、设备缺陷台帐、设备可靠性统计，还包括动作特性检验、绝缘预防性试验、SF6气体检验；
断路器技术监督数据库还包括专门为断路器在线监测增设的断路器在线测量装置获取的数据，如操作机构的分合闸波形、速度、时间、超程、开距、弹跳、同期；操作线圈的电压、电流、铁芯动作时间、功率；电机的电压、电流、功率；
1.3)断路器安全风险技术指标数据库：
包括电网系统风险数据库、断路器本体风险数据库、检修作业风险数据库。
1.4)断路器仓储备品备件数据库：
包括新件、旧件、出入库；新件的内容是主设备品牌、备品备件名称、规格型号、数量、单价、保质期、生产日期、验收人员；旧件的内容是主设备品牌、原主设备名称、规格、型号、使用处所(电网中设备编号、用于线路、主变、电容器、电抗器等)、开始使用日期、更换日期、更换人员及其技能等级。
2)智能专家决策终端的功能：
断路器集群云数据的获取是动态进行，是根据智能专家决策终端具备的历史分析、趋势分析、变量分析、对比分析、因素分析功能的调用来进行。
所述智能终端，提供如下功能：
在智能策略的框架下提供如下分析和决策功能。
功能之一：对最高开断电流的断路器进行排序，并重点关注其电气、机械特性监测，关注其停电预防性试验的数据与历史数据的对比。
功能之二：对最高动作次数的断路器进行排序，关注其电气、机械特性的同时，提出合理安排操作顺序的建议(如均衡承担用于投切电容器组的断路器的操作次数),并可直接与远控系统结合实现断路器的自动操作。
功能之三：对停电检修次数的断路器进行排序，关注其更换的备品备件种类、名称、型号、更换人员技能等级和提升，分析主要影响因素并加以改进。
功能之四：对停电检修时间最多的断路器进行筛选，关注检修方案的合理性，分析主要影响因素并加以改进。
功能之五：对检修成本最高的断路器进行筛选，关注检修方案的合理性。
功能之六：按品牌、型号、批次对断路器的历史数据进行大数据分析，找出每个断路器或断路器集群的电气、机械、SF6绝缘特性变化趋势，并根据趋势与检修工作安排对比，从中发现不安全隐患和苗头。
功能之七：基于广域信息技术在线对断路器操作分合闸速度、操作机构动作的协调性进行大数据分析，辨识出存在机械故障的重大隐患，对存在安全隐患的设备提出操作预警，甚至闭锁存在重大隐患的断路器操作。
功能之八：对断路器带来的电网、设备、作业风险进行评估分析，提出风险控制措施，这些措施包括供应商与承包商管理、安全科技、预防与纠正、应急和事故管理、生产管理等内容；
功能之九：根据多维度大数据分析结果，向安全技术管理人员发送移动预警信号，管理人员可以通过平板电脑、收集、笔记本电脑等终端查阅相关资料；
功能之十：根据上述功能分析结果，由断路器生产厂家提供结构设计、备品备件质量、维修人员技能培训等针对性的改进，以进一步提升上述功能的改进效果，提高断路器运行维护及安全运行经济水平。
电网断路器多维度大数据分析智能专家系统的实现步骤如下：
步骤一：获取实时监控数据库：
主要从变电站自动化系统及现场测控装置中获取断路器设备的工作电压、工作电流、分合闸线圈状态、三相触头位置、分合闸动作计数器、操作机构状态、马达打压计数器、SF6气体压力、隔离开关位置、接地刀闸位置。
步骤二：获取断路器技术监督数据库：
断路器技术监督数据库包括断路器国家技术标准、断路器预防性试验规程、断路器生产厂家的设计参数，以及出厂检验数据、现场安装、调试验收参数、设备缺陷台帐、设备可靠性统计，还包括动作特性检验、绝缘预防性试验、SF6气体检验；
断路器技术监督数据库还包括专门为断路器在线监测增设的断路器在线测量装置获取的数据，如操作机构的分合闸波形、速度、时间、超程、开距、弹跳、同期；操作线圈的电压、电流、铁芯动作时间、功率；电机的电压、电流、功率；
步骤三：获取断路器安全风险技术指标数据库：
包括电网系统风险数据库、断路器本体风险数据库、检修作业风险数据库。
步骤四：获取断路器仓储备品备件数据库：
主要包括新件、旧件、出入库管理。新件主要的内容是主设备品牌、备品备件名称、规格型号、数量、单价、保质期、生产日期、验收人员等。旧件主要的内容是主设备品牌、原设备名称、规格型号、使用处所(电网中设备编号、用于线路、主变、电容器、电抗器等)、开始使用日期、更换日期、更换人员及其技能等级。
上述数据库的数据是电力系统中数据质量最高的，对于确保大数据智能分析的准确性非要关键。
步骤五：对上述四种数据分别采用历史、趋势、变量、对比、因素等功能进行分析。
步骤六：根据需要调用设备状态安全风险评估、设备维护最优方案排序、移动终端在线动态预警模块，获取运行维护决策建议。当决策建议或者智能化策略逐步优化完善之后，本发明的系统还可以与远控系统对接实现断路器的动态控制。
经过本发明装置的多维度、大数据智能分析后，提出运行维护策略，如继续运行、退出运行、检修计划等等，从而对电力系统断路器实施全生命周期管理，实现科学经济运维、提高安全水平的目标。
以上所述功能仅为本发明的优选实施例而已，并不用于限制本发明，对于本领域的技术人员来说，本发明可以有各种更改和变化。凡在本发明的精神和原则之内，所作的任何修改、等同替换、改进等均应包含在本发明的保护范围之内。

Claims (11)

  1. 一种电网高压断路器多维度大数据分析智能专家系统，其特征在于，所述电网电压多维度大数据分析智能专家系统包括断路器集群云数据库和智能专家决策终端，所述断路器集群云数据库包括断路器实时监控数据库、断路器技术监督数据库、断路器安全风险技术指标数据库、断路器仓储备品备件数据库，所述智能专家决策终端包括设备安全风险评估模块、设备维护最优方案排序模块、移动终端在线动态预警模块，所述断路器集群云数据库动态地进行数据的获取，所述智能专家决策终端对获取的数据进行历史分析、趋势分析、变量分析、对比分析以及因素分析。
  2. 如权利要求1所述的电网高压断路器多维度大数据分析智能专家系统，其特征在于，所述断路器实时监控数据库中的数据包括从变电站自动化系统和现场测控装置获取的工作电压、工作电流、分合闸线圈状态、三相触头位置、分合闸动作计数器、操作机构状态、马达打压计数器、SF6气体压力、隔离开关位置、接地刀闸位置。
  3. 如权利要求2所述的电网高压断路器多维度大数据分析智能专家系统，其特征在于，从变电站自动化系统的继电保护管理信息系统中获取断路器保护装置、线路保护装置、相关元件保护装置中断路器动作过程和开断电流值。
  4. 如权利要求2所述的电网高压断路器多维度大数据分析智能专家系统，其特征在于，还包括故障录波装置，从所述故障录波装置中获取断路器开断的故障电流值和三相触头动作过程。
  5. 如权利要求1所述的电网高压断路器多维度大数据分析智能专家系统，其特征在于，还包括断路器的固有设计参数，所述固有设计参数包括分合闸波形、速度、时间、超程、开距、弹跳、操作线圈的电压、电流、铁芯动作时间、功率。
  6. 一种使用如权利要求1-5中的任一项所述的电网高压断路器多维度大数据分析智能专家系统监测断路器的方法，其特征在于，包括如下步骤：
    步骤S111、从变电站自动化系统和现场测控装置中获取电网中的断路器的工作参数，该电网的工作参数包括断路器的工作电压、工作电流、分合闸线圈状态、三相触头位置、分合闸动作计数器、操作机构状态、马达打压计数器、SF6气体压力、隔离开关位置、接地刀闸位置；
    步骤S112、从变电站的继电保护管理信息系统中获取断路器保护装置、线路保护装置、相关元件保护装置中的断路器动作过程和开断电流值；
    步骤S113、从故障录波装置中获取断路器开断的故障电流值及三相触头动作过程；
    步骤S114、从断路器集群云数据库获取与断路器相关的固有参数，所述固有参数包括断路器国家技术标准、断路器生产厂家设计参数、调试验收参数、设备缺陷台账、设备可靠性统计；
    步骤S115、基于已经获取的断路器的工作参数和与断路器相关的固有参数，进行历史分析、趋势分析、变量分析、对比分析、因素分析；
    步骤S116、基于分析结果，调用设备状态安全风险评估、设备维护最优方案排序、移动终端在线动态预警模块，获取运行维护决策建议。
  7. 如权利要求6所述的使用电网高压电压多维度大数据分析智能专家系统监测断路器的方法，其特征在于，所述断路器集群云数据库包括用于提供断路器的实时工作参数的断路器实时监控数据库、用于提供断路器的固有参数的断路器技术监督数据库、用于提供断路器的安全风险技术指标的断路器安全风险技术指标数据库以及用于提供断路器的规格数据的断路器仓储备品备件数据库。
  8. 如权利要求7所述的使用电网高压电压多维度大数据分析智能专家系统监测断路器的方法，其特征在于，用于提供断路器的固有参数的断路器技术监督数据库中的数据包括分合闸波形、速度、时间、超程、开距、弹跳、操作线圈的电压、电流、铁芯动作时间以及功率。
  9. 如权利要求7所述的使用电网高压电压多维度大数据分析智能专家系统监测断路器的方法，其特征在于，用于提供断路器的安全风险技术指标的断路器安全风险技术指标数据库包括电网系统风险数据库、断路器本体风险数据库以及检修作业风险数据库。
  10. 如权利要求7所述的使用电网高压电压多维度大数据分析智能专家系统监测断路器的方法，其特征在于，用于提供断路器的规格数据的断路器仓储备品备件数据库中的数据包括主设备品牌、备品备件名称、规格型号等规格参数。
  11. 如权利要求1-10所述的电网高压断路器多维度大数据分析智能专家系统，其特征在于，解决了断路器在变电站自动化系统、继电保护管理信息系统、故障录波管理系统、在线监测系统、仓储备品备件管理系统、预防性试验技术监督管理系统、运行维护管理系统以及原厂设备监造和检 测监测系统等八个领域的信息孤岛，是基于广域信息技术的断路器设备在线监测与动态评估、预警及管控系统。
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