Semantic-based industrial production equipment predictive maintenance system

Abstract

The invention discloses a Semantic-based industrial production equipment predictive maintenance system. The overall architecture of the system is as follows: an original information layer comprises anequipment maintenance document, equipment parameter indexes, expert experience related to equipment maintenance and equipment information; a semantic layer comprises an equipment information ontologymodel, an equipment fault knowledge base module, an equipment information semantic annotation module, a semantic reasoning and query module, an ontology database and a semantic rule file; and an application layer comprises a knowledge base management module, an equipment operation state query module, an equipment fault early warning module and an equipment maintenance strategy module. According to the method, rich semantic knowledge in the field can be obtained through semantic annotation, semantic reasoning and semantic query, data-to-information-to-knowledge conversion is realized, fault knowledge and maintenance knowledge are integrated, a reasonable maintenance strategy is obtained before equipment has a fault, equipment maintenance personnel can be assisted to maintain and manage theequipment more conveniently, the fault rate of equipment operation is reduced, and the production efficiency is improved.

Description

technical field [0001] The invention belongs to the combined field of semantic web and industrial internet of things, and relates to a semantic-based predictive maintenance strategy system for industrial production equipment. Background technique [0002] The Semantic Web was formally proposed in 2001 by Tim Berners-lee, the founder of the World Wide Web. Information in the Semantic Web is endowed with clear meanings, and machines can automatically process and integrate information and services available on the Web. The feature of Semantic Web technology is to understand and utilize distributed resources in the network. There is a huge amount of information on the Internet. The goal of Semantic Web technology is to design a computing model that allows computers to automatically obtain resources on the Internet, analyze and process them, and actively solve some real-world problems for us. [0003] The knowledge base is the product of the combination of database and artifici...

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to provide a semantic-based predictive maintenance strategy system for industrial production equipment to solve the problem of lack of semantics in traditional equipment monitoring data and the unsatisfactory reasoning efficiency of traditional rule reasoning; the hidden information of equipment monitoring data The reasoning and maintenance of production equipment often can only rely on people, and the system maintenance decision-making is not highly intelligent. Before the industrial production equipment fails, the maintenance personnel are reminded and a reasonable maintenance strategy is given to assist the maintenance personnel. Make decisions to realize intelligent monitoring of industrial production equipment and intelligent management of predictive maintenance strategies

Images