Intelligent equipment diagnosis and maintenance management system

Abstract

The invention discloses an intelligent equipment diagnosis and maintenance management system, which comprises a data acquisition module (10), a data analysis module (20) and a business application module (30); the data acquisition module is used for acquiring field equipment data and pushing the acquired equipment data to the data analysis module; the data analysis module is used for analyzing and diagnosing the equipment condition according to the equipment data pushed by the data acquisition module, and pushing an equipment condition diagnosis result to the business application module; and the business application module is used for setting business items according to different equipment condition diagnosis results, and starting a business process for implementing the related business items according to the equipment condition diagnosis results pushed by the data analysis module. According to the maintenance and management system, the labor cost in equipment monitoring and maintenance work is reduced, the intelligent level of equipment abnormal condition diagnosis is improved, and the equipment maintenance and management work is more accurate, rapid and efficient.

Description

technical field [0001] The invention relates to equipment information management technology, in particular to an equipment intelligent diagnosis maintenance management system. Background technique [0002] For large-scale production factories, the daily inspection and maintenance of equipment is a very important task. Only by ensuring the normal and stable operation of the equipment can the stable production of the factory be guaranteed. However, regular inspection and maintenance is also very tedious work. [0003] Taking a steel factory as an example, there are a large number of fan equipment in the steel factory that needs to be maintained and managed. The fan equipment is distributed in different locations in the factory area. At present, equipment maintenance and management personnel are required to go to the site to inspect and inspect frequently. Therefore, it will consume a lot of manpower to carry out patrol inspections on all fan equipment. Low, it can no longer m...

AI Technical Summary

Problems solved by technology

However, in such a solution, only a simple threshold judgment alarm for equipment data is realized, which is an alarm for equipment that has already experienced an abnormality, but cannot realize early warning for equipment that has not yet experienced an abnormality but is about to experience an abnormality

In addition, the above solutions do not have comprehensive management functions for alarm information, which cannot cope with equipment maintenance during fast-paced and high-efficiency production

For example, during the daily inspection and maintenance of equipment, it is necessary to manually record the equipment status. This work is necessary, but it is also very cumbersome. And other tasks also need to manually log in to the ledger, and the process is also very cumbersome, which is not conducive to the improvement of work efficiency

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