Power distribution equipment state visualization method and system based on data integration

Abstract

The invention relates to the technical field of power equipment state monitoring, in particular to a power distribution equipment state visualization method and system based on data integration. The method comprises the following steps: collecting a multi-source heterogeneous original signal set; performing electromagnetic interference removal and feature enhancement on the multi-source heterogeneous original signal set to obtain a feature enhanced signal matrix; calculating a temperature and humidity parameter influence coefficient table according to the feature enhancement signal matrix; performing vibration and contact resistance parameter analysis according to the feature enhancement signal matrix and the temperature and humidity parameter influence coefficient table to obtain a parameter sensitivity association network; performing partial discharge mode recognition processing on the feature enhancement signal matrix according to a parameter sensitivity association network to obtain a discharge type judgment result; and calculating an equipment health index spectrum according to a discharge type judgment result. According to the invention, through integration of multi-source heterogeneous data, deep analysis of a physical parameter coupling relationship and fusion of a predictive visualization technology, the state evaluation accuracy of the power distribution equipment is significantly improved.

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