High-voltage circuit breaker opening and closing time online monitoring apparatus, smart multi-dimensional big data analyzing expert system for high-voltage circuit breaker in power grid and method therefor

A smart multi-dimensional big data analyzing expert system for a high-voltage circuit breaker in a power grid, wherein the smart multi-dimensional big data analyzing expert system for a high-voltage circuit breaker in a power grid comprises a high-voltage circuit breaker opening and closing time online monitoring apparatus, data about opening and closing time characteristics of a high-voltage circuit breaker is obtained by online monitoring of the online monitoring apparatus, and the data is derived from a measurement and control apparatus, a circuit breaker phase selection opening and closing apparatus, and a supervisory control and data acquisition system of each of a substation and a converter station;

• a relay protection apparatus and a relay protection information system;
• and a fault recording apparatus and a fault recording information system, and wherein the online monitoring apparatus provides real-time monitored data and historical data about a power grid, with the real-time monitored data and historical data for performing the online monitoring of the opening and closing time of the circuit breaker, the smart multi-dimensional big data analyzing expert system for a high-voltage circuit breaker in a power grid comprises a circuit breaker cluster cloud database and a smart expert decision terminal, the circuit breaker cluster cloud database comprises a real-time circuit breaker monitoring database, a circuit breaker technique supervision database, a circuit breaker security risk technical indicator database and a circuit breaker warehouse spare part database, the smart expert decision terminal comprises a device security risk evaluation module, an optimal device maintenance solution ranking module and a mobile terminal online dynamic warning module, the circuit breaker cluster cloud database dynamically acquires data, and the smart expert decision terminal performs history data analysis, trend analysis, variable analysis, comparison analysis and factor analysis on the acquired data.

A method of monitoring a circuit breaker using a smart multi-dimensional big data analyzing expert system for a high-voltage circuit breaker in a power grid, comprising steps of:

• obtaining, by a high-voltage circuit breaker opening and closing time online monitoring apparatus, online-monitored data about opening and closing time characteristics of a high-voltage circuit breaker, and acquiring, from a substation automation system and a field measurement and control apparatus, working parameters of a circuit breaker in a power grid, wherein the working parameters comprise a working voltage and a working current of the circuit breaker, states of opening and closing coils, positions of three-phase contacts, a counter for opening and closing actions, a state of an operating mechanism, a counter for actions of applying a voltage to a motor, a pressure of SF6 gas, a position of an isolation switch, and a position of a grounded knife switch;
• acquiring action processes and breaking current values of the circuit breaker, from a relay protection management information system, a circuit breaker protection apparatus, a line protection apparatus, and a relevant-element protection apparatus of the substation;
• acquiring, from a fault recording apparatus, a value of a fault current broken by the circuit breaker and an action process of the three-phase contacts;
• acquiring, from a circuit breaker cluster cloud database, inherent parameters related to the circuit breaker, wherein the inherent parameters comprise national technical standards for circuit breakers, design parameters of manufacturers of circuit breakers, debugging and acceptance parameters, device defect records, device reliability statistics, action characteristic inspection, power-outage preventive test and SF6 gas inspection;
• performing history data analysis, trend analysis, variable analysis, comparison analysis and factor analysis, based on the acquired working parameters of the circuit breaker and the acquired inherent parameters related to the circuit breaker;
• and
• invoking, based on the analysis results, a device security risk evaluation module, an optimal device maintenance solution ranking module and a mobile terminal online dynamic warning module, to obtain a running and maintenance decision recommendation.