Power consumption information acquisition fault diagnosis method and system with inductive learning

Abstract

The invention discloses a power consumption information acquisition fault diagnosis method and system with inductive learning. The system enables the diagnosis results of five different evaluation models to be integrated through weight coefficients on the basis of fuzzy comprehensive diagnosis, and enables the power consumption information acquisition fault diagnosis result to be more accurate. Meanwhile, the weight coefficient is determined and continuously fed back and modified by simulating a human cognitive learning process based on the big data age so that the novel power consumption information acquisition fault diagnosis system has inductive learning capability. In addition, the invention also provides a novel determination method for determining the membership matrix, and the membership matrix is comprehensively determined by adopting the multi-dimensional electricity consumption abnormal quantity stored in the power consumption information acquisition system on the basis of set value statistics. The method has subjective factors of expert judgment and an objective existence fact part so that the membership matrix is more scientific and accurate.

Description

technical field [0001] The invention relates to a fault abnormality analysis system, in particular to a system for analyzing and diagnosing abnormal phenomena in a power consumption information collection system in a power grid. Background technique [0002] At present, the construction of the electricity information collection system is basically complete, with a total of 420 million smart energy meters connected, 12.6384 million collection terminals, covering 386 million households. However, how to ensure the smooth development of various services in the collection system is currently the The main problems to be solved by the electronic information collection system. Among them, there is a prominent problem: the types of faults are complex and diverse, and it is difficult to diagnose and locate faults. The operation and maintenance objectives involved in the electricity consumption information collection system include: smart energy meters, collection terminals, collectio...

AI Technical Summary

Problems solved by technology

[0007] In view of the deficiencies in the existing technology, the purpose of the present invention is to provide a system that uses multi-dimensional data to fuzzy comprehensive analysis of the fault causes of the power consumption information collection system and has learning ability, so that manual evaluation and confirmation are not required when the power consumption information collection system is abnormal , reduce the work intensity, improve the work efficiency, and at the same time avoid the misjudgment caused by the lack of personnel skills, and can ensure the accuracy and timeliness of fault location

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