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

A technology of electricity consumption information and fault diagnosis, which is applied in the direction of signal transmission system, electrical components, transmission of meter data, etc.

Active Publication Date: 2020-05-19
JIANGSU ELECTRIC POWER CO
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  • Abstract
  • Description
  • Claims
  • Application Information

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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 eva...

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

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Embodiment Construction

[0052] In order to make the technical means, creative features, goals and effects achieved by the present invention easy to understand, the present invention will be further described below in conjunction with specific embodiments.

[0053] 1. The membership matrix R can be established by the following formula:

[0054]

[0055] ε · Take the number between [0,1], this system takes ε as 0.5.

[0056] The membership matrix R is composed of two parts, one of which is the subjective part of expert judgment based on set value statistics Namely: select a suitable number of s (about 100) experts and experienced employees to analyze the specified abnormal phenomenon a i with the specified failure cause b j The degree of membership r ij Make a judgment and give the corresponding range (r 1 k ,r 2 k ), where k represents the kth expert, and generally limits r 1 k and r 2 k The range is [0,1]. Then, the degree of disagreement g is obtained by evaluating the opinion sample...

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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...

Claims

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Application Information

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IPC IPC(8): G08C25/00H04Q9/00
CPCG08C25/00H04Q9/00H04Q2209/60
Inventor 范洁钟啸王进马云龙林梓圻
Owner JIANGSU ELECTRIC POWER CO
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