Instrument remote fault diagnosis system based on internet of things and cloud computing

Abstract

The invention discloses an instrument remote fault diagnosis system based on internet of things and cloud computing. The instrument remote fault diagnosis system is composed of an instrument fault diagnosis center and multiple instrument monitors. The instrument fault diagnosis center comprises a wireless gateway, a cloud server, a fault database, a remote client terminal and a diagnosis expert terminal. Each instrument monitor comprises a wireless communication module, an instrument state monitor, an instrument information reader, a fault displayer, a power supply, an instrument running operation system, an alerter and a microprocessor. The instrument remote fault diagnosis system has characteristics of being simple in structure, intelligent, humanized and scientific and high-efficiency so that fault monitoring and fault diagnosis can be accurately performed on various instruments and equipment in enterprises in real time, and targeted and scientific diagnostic opinions can be provided to the generated faults via the cloud server and the fault database. Besides, an expert secondary diagnosis system is also introduced in the system so that accuracy of fault diagnosis is greatly enhanced.

Description

technical field [0001] The invention relates to the field of fault diagnosis, and relates to an instrument remote fault diagnosis system based on the Internet of Things and cloud computing. Background technique [0002] In order to diagnose the faulty equipment in the enterprise in real time, the enterprise needs to build a professional equipment monitoring and fault diagnosis system. Most small and medium-sized enterprises have limitations such as small production scale, limited funds, and few maintenance personnel, so they cannot develop professional equipment monitoring and fault diagnosis systems; and with the accumulation of time, equipment in enterprises will generate a large amount of historical fault data. How to save And making full use of these data is also a problem worthy of study. [0003] As a new network service model, cloud computing has more and more applications developed based on cloud computing, and they are presented to users as services. Enterprises c...

AI Technical Summary

Problems solved by technology

Most small and medium-sized enterprises have limitations such as small production scale, limited funds, and few maintenance personnel, so they cannot develop professional equipment monitoring and fault diagnosis systems; and with the accumulation of time, equipment in enterprises will generate a large amount of historical fault data. How to save And making full use of these data is also a problem worth studying

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