An anomaly diagnosis method based on generalized rule reasoning for industrial and mining enterprise-oriented safety production cloud service platform

Abstract

A malfunction diagnosis method based on generalized rule reasoning and used for a safety production cloud service platform facing industrial and mining enterprises includes extracting fundamental characteristic information or characteristic set, processing the characteristic information to converting the characteristic information into a scheme for resolving problems under local environment or optimal constraint condition, and converting the scheme into immune operator in proper mode for generating a new individual. Immune evolution is achieved through vaccination and immunoselection based on knowledge and knowledge transfer on the base that immune vaccine is reasonably extracted to effectively increase priori knowledge for malfunction diagnosis and improve individual fitness.

Description

technical field [0001] The invention belongs to the field of automatic information collection and control of industrial and mining systems, and relates to a power system real-time data collection, processing and control system, in particular to an industrial and mining real-time data integrated processing system and design method based on cloud computing. Background technique [0002] Cloud technology has been widely used in the Internet, mainly including three different types, software as a service SaaS, platform as a service PaaS, infrastructure as a service IaaS. Among them, PaaS provides complete or partial application development that users can access, and SaaS provides complete and directly usable applications, such as managing enterprise resources through the Internet. The cloud technology in IaaS is mainly based on massive data management technology, massive data distributed storage technology, virtualization technology, and cloud computing platform management techno...

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Problems solved by technology

[0010] The purpose of the present invention is to provide a safety production cloud service platform system for industrial and mining enterprises to solve the problems of poor information sharing, low utilization rate, and waste of software and hardware resources caused by independent equipment configuration, independent calculation, and independent function devices. Realize one-time collection of the same type of equipment data, and multiple applications such as measurement and control, protection, phasor measurement, and metering

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