Transformer station intelligent expert system based on editable formula scripts

Abstract

The invention discloses a transformer station intelligent expert system based on editable formula scripts. The transformer station intelligent expert system comprises a real-time analysis display main module, an expert knowledge base offline configuration tool module, a knowledge database module, a processing unit in which an editable formula script preprocessing layer is combined with a rule mode matching layer, a discrete event dynamic comparison unit capable of configuring effective time domains, a rule condition delay effectiveness and delay return trigger mechanism unit and a configurable 'before happening' and 'after happening' correlation site information automatic collection unit. By the adoption of the scheme, information of a transformer station monitoring system, such as the electric quantity, signals, warning and events, can be processed in a unified and comprehensive mode, an expert knowledge base can be flexibly modified and extended, the expert system can accurately and timely assists transformer station operators on duty and maintenance staff in correctly judging and processing accidents and exceptions through intelligent warning and real-time online analysis, and therefore the new requirements oriented to digital and intelligent transformer stations are better met.

Description

technical field [0001] The invention relates to the professional technical field applied by the substation monitoring system, covering industrial control industries such as power monitoring, rail transit, water conservancy monitoring, oil and gas chemical industry, and coal mines that need to implement power supply monitoring services. Background technique [0002] With the rapid development of the national economy, the level of automation technology of power supply system substations is increasing day by day, and the power supply management department is also facing the following problems and contradictions: Faced with various massive operating information during normal operation, the monitoring tasks of the on-duty personnel are heavy, and it is easy to miss Important alarm information, delayed handling causes accidents; once an accident occurs, there will be more action events and related information, and the on-duty personnel will be dazzled, making it difficult to grasp ...

AI Technical Summary

Problems solved by technology

[0002] With the rapid development of the national economy, the level of automation technology of power supply system substations is increasing day by day, and the power supply management department is also facing the following problems and contradictions: Faced with various massive operating information during normal operation, the monitoring tasks of the on-duty personnel are heavy, and it is easy to miss Important alarm information, delayed handling causes accidents; once an accident occurs, there will be more action events and related information, and the on-duty personnel will be dazzled, making it difficult to grasp the key points, thus affecting the correct handling of the accident; at the same time, there are many automation equipment in the station, covering a wide range of technical fields , The maintenance knowledge and skills are complicated, relying solely on the self-learning of the operation and maintenance personnel, the limitations are large, the timeliness is poor, and the lack of timely assistance and guidance from expert experience makes it difficult to meet the needs of safe and reliable operation of the power supply system

At present, the substation monitoring automation system is very mature and perfect in terms of real-time communication, information collection and operation control, but it is relatively deficient in the functions of auxiliary analysis and decision-making. The existing expert analysis function is still limited to the online monitoring of a single device. Obviously, it cannot meet the urgent needs of the current substation system operation and maintenance work.

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