Research on intelligent processing technology of alarm in power monitoring system

Abstract

In the power monitoring system, the control center collects a large amount of alarm and status information from the main station system and the plants under its jurisdiction every day. Most of duty officers deal with the alarms based on experience, so that it is difficult to ensure the correct judgment and handling of the alarms. This paper proposes a knowledge base-based alarm processing and solution recommendation function, using big data storage,data mining technology,machine learning technology to achieve the extraction of alarm attribute characteristics, online real-time analysis and reasoning of alarm processing methods or suggestions. Adopt the method of constructing knowledge base to assist on-duty personnel to analyze and process alarms in time And intelligently recommend alarm solutions, which are of great significance to ensure the safe operation of power grids and equipment, and significantly improve the comprehensive management and control capabilities of power monitoring systems for security threats.