Mining equipment fault diagnosis system integration method and system

Abstract

The invention relates to information processing, in particular to a mining equipment fault diagnosis system integration method and system. The mining equipment fault diagnosis system integration method comprises a micro-service application group and a big data cluster, the micro-service application group comprises a message queue server, a data receiving service and a fault early warning service, and the message queue server comprises an equipment data switch, a big data cluster notification switch and a micro-service cluster notification switch. The beneficial effects of the system are that the detection algorithm is mainly used for analyzing the equipment operation data obtained by different types of collection equipment, and carrying out the pre-judgment of the health condition of the equipment through the application of the algorithm. The detection algorithm is used in both the field-end server and the cloud server.

Description

technical field [0001] The invention relates to information processing, in particular to a method and system for integrating fault diagnosis systems of excavating equipment. Background technique [0002] Large-scale excavation equipment is essential for the normal production process of mining enterprises, but due to its high price, enterprises generally cannot afford spare equipment. At the same time, each downtime of the equipment will bring a great economic burden to the enterprise. With the improvement of technological content of industrial products, the acceleration of technological upgrading and the improvement of component precision, it is becoming more and more difficult for enterprise users to master the ability of operation and maintenance of excavation equipment products, which leads to the increasing difficulty of operation and maintenance and the shortage of professional operation and maintenance personnel. [0003] For large-scale excavation equipment, the exis...

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Problems solved by technology

[0002] Large-scale excavation equipment is essential for the normal production process of mining enterprises, but due to its high price, enterprises generally cannot afford spare equipment

At the same time, every failure of the equipment will bring a great economic burden to the enterprise

With the improvement of technological content of industrial products, the acceleration of technological upgrading and the improvement of component precision, it is becoming more and more difficult for enterprise users to master the ability of operation and maintenance of excavation equipment products, which leads to the increasing difficulty of operation and maintenance and the shortage of professional operation and maintenance personnel.

[0003] For large-scale excavation equipment, the existing technologies and methods such as fault detection are basically concentrated in the research stage of fragmentation and individualization. Due to problems such as complex production environment and scattered external detection methods, there is no set of overall solutions that can gather A complete operation and maintenance system integrating professional data collector, data collection, data cleaning, mechanism model analysis, fault warning, health diagnosis, etc.

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