Mine electromechanical equipment fault diagnosis support system based on crowd sensing

Abstract

The invention discloses a mine electromechanical equipment fault diagnosis support system based on crowd sensing, which is characterized in that the diagnosis support system comprises a fault request processing module, a fault preliminary diagnosis module, an expert diagnosis module and a maintenance scheduling module. The system can standardize and standardize the fault database and the fault processing flow of the electromechanical equipment of the coal mine enterprise, guides and trains maintainers through the settled equipment fault knowledge database, standardizes the maintenance site, and truly achieves site 5S management; and an electromechanical equipment and equipment fault library in an existing ERP of a coal mine enterprise is fully integrated with PLC data/production scheduling data of production, and the research is data fusion and deepened application which are already constructed at present instead of repeated informatization construction.

Description

technical field [0001] The invention relates to the technical field of fault diagnosis of electromechanical equipment in mines, in particular to a support system for fault diagnosis of electromechanical equipment in mines based on crowd sensing. Background technique [0002] In view of the current situation that the country has more and more strict requirements on information security, it will become more and more unfeasible to provide auxiliary diagnosis only through the traditional fault diagnosis method, or through the browser (WEB mode) to provide data sharing mode. [0003] Due to limited technical conditions and insufficient monitoring systems, coal mine enterprises currently have fault information transmission distortion in the management and maintenance of electromechanical equipment, complex and difficult faults occur in equipment, and the maintenance site cannot obtain expert technical support in the first place. In the past, fault information lacked digital precipi...

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Problems solved by technology

[0003] Due to limited technical conditions and insufficient monitoring systems, coal mine enterprises currently have fault information transmission distortion in the management and maintenance of electromechanical equipment, complex and difficult faults occur in equipment, and the maintenance site cannot obtain expert technical support in the first place. In the past, fault information lacked digital precipitation. , without forming various disadvantages such as equipment big data

[0004] In addition, coal mine enterprises generally implement ERP system or PLC system at present. ERP system focuses on the production management of coal mine enterprises, and PLC system focuses on the production control of coal mine equipment. The integration and integration of equipment on-site management and maintenance capabilities still rely on human management, which is time-consuming, labor-intensive, and costly

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