Equipment abnormity alarm event synthesis method of power monitoring system based on signal analysis

Abstract

The invention discloses an equipment abnormity alarm event synthesis method for an electric power monitoring system based on signal analysis, which is characterized in that initialization and updating from scattered monitoring signals to monitoring events are realized through a model loading process, and special logic calculation normalization processing of the electric power monitoring system is realized through a special built-in logic calculation process of electric power; by monitoring a signal logic calculation process, synthesis of an equipment abnormity alarm event is realized, so that the signal analysis complexity is reduced, and basic data is provided for tracking and processing of an equipment abnormity state. According to a general logic calculation rule, signal action reasons are inferred reversely according to scattered signals, synthesis from the scattered monitoring signals to an equipment abnormity alarm event is achieved, and equipment abnormity can be found in time; a special logic calculation formula for electric power is expanded, a complex configuration process of special calculation logic is shielded, normalized data is provided for a general logic configuration process, and event synthesis calculation logic is simplified; and abnormal state tracking and processing of the power equipment are realized.

Description

Technical field [0001] The present invention relates to the field of system alarm processing technology, and in particular to a power monitoring system based on signal analysis device abnormal alarm event synthesis method. Background technique [0002] The power monitoring signal reflects the operating state of the power equipment. It is the reference basis for the operation status and failure causes of power monitoring personnel. With the development of substation data acquisition techniques and collection channel bandwidth, the power monitoring system has a total collection capacity of substation monitoring signals, However, when power monitoring system data acquisition is rapidly increased, especially in the abnormal power grid, massive monitoring information invested into the power monitoring system, which brings great challenges to electricity monitoring. Traditional signal-level power monitoring means mainly three problems, after the large-scale monitoring signal is accepte...

AI Technical Summary

Problems solved by technology

There are three main problems in the traditional signal-level power monitoring methods. First, after the large-scale monitoring signal is connected, it brings great challenges to the daily monitoring of the monitoring personnel, and it is easy to miss important signals, which is not conducive to timely analysis and discovery of equipment abnormalities. Second, the equipment When a fault occurs, a large number of monitoring signals flood into the power monitoring system, and manual judgment cannot accurately determine the cause of the fault, prolonging the fault recovery time; the third is the lack of event-based information definition, which is not conducive to the tracking and processing of equipment abnormalities

[0003] The traditional power monitoring system provides power monitoring personnel with equipment operation abnormal information monitoring by means of real-time alarms and optical signs. Lack of analysis of the causes of monitoring signal alarms, failure to realize event-based comprehensive analysis of abnormal alarms of power equipment through alarm signals, which is not conducive to timely disposal of equipment abnormalities

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