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Industrial fault analysis expert system based on knowledge graph

A technology of knowledge graph and fault analysis, applied in the field of industrial fault analysis expert system, to achieve the effect of improving processing speed, enhancing representation ability, and enhancing relevance

Pending Publication Date: 2020-01-17
CHINA UNIV OF PETROLEUM (EAST CHINA)
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Traditional industrial equipment fault analysis expert systems have certain deficiencies in knowledge representation, knowledge storage and knowledge reasoning

Method used

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  • Industrial fault analysis expert system based on knowledge graph
  • Industrial fault analysis expert system based on knowledge graph

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Embodiment Construction

[0022] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0023] like figure 1 As shown, the industrial fault analysis expert system based on knowledge graph includes knowledge acquisition module, knowledge data fuzzification module, knowledge graph construction module, graph dynamic self-optimization module and fuzzy reasoning module.

[0024] Combine below figure 1 and figure 2 , to describe in detail the specific process of the industrial fault analysis expert system based on knowledge graph:

[0025] Step (1)...

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Abstract

The invention provides an industrial fault analysis expert system based on a Knowledge Graph. The industrial fault analysis expert system based on the Knowledge Graph comprises the following steps that expert experience knowledge is obtained and preprocessed to eliminate anomalies and complement missing values; knowledge data fuzzification is carried out, and a knowledge graph is constructed in the field of industrial fault analysis by applying a semantic net technology and a graph calculation engine according to the knowledge data fuzzification. The simplification and high efficiency of a knowledge graph structure are ensured through a graph dynamic self-optimization process, and the calculation efficiency is improved; industrial faults are diagnosed and analyzed based on a fuzzy reasoning method, and data or equipment abnormity is efficiently and accurately judged.

Description

technical field [0001] The invention relates to the fields of Internet, equipment fault diagnosis, fuzzy control and expert system, and in particular relates to an industrial fault analysis expert system based on knowledge graph. Background technique [0002] Industrial fault analysis expert system based on Knowledge Graph. Based on the experience and knowledge of experts in the professional field, the knowledge map of the relevant field is constructed, and the fuzzy reasoning technology is used to diagnose and analyze the faults of industrial equipment, so as to clarify the operating status of the equipment and reduce the loss of faults. The techniques closest to the present invention are: [0003] (1) Rule-based expert system for industrial equipment failure analysis: the rule-based method is to express knowledge as a series of rules, each rule uses the IF (condition)-THEN (action) structure to specify the knowledge reasoning relationship, when the rule is satisfied When...

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Application Information

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IPC IPC(8): G06N5/04G06N5/02
CPCG06N5/048G06N5/025
Inventor 于强张卫山房凯
Owner CHINA UNIV OF PETROLEUM (EAST CHINA)