Remote fault monitoring and diagnosis system of belt conveyor based on Internet-of-Things technology

Abstract

The invention discloses a remote fault monitoring and diagnosis system of a belt conveyor based on an Internet-of-Things technology, which comprises a field end and a remote end; the field end comprises a field sensor, a PLC system and an intelligent gateway; the remote end comprises a remote server and a diagnosis terminal; the field sensor, the PLC system and the intelligent gateway are sequentially connected; the intelligent gateway communicates with the remote server; the remote server communicates with the diagnosis terminal; and the field sensor is arranged at a part of the belt conveyorto be detected. According to the invention, all parts needing to be detected of the field belt conveyor are integrated, and through uniform acquisition, uploading, storage and remote access, remote expert personnel can remotely monitor and diagnose the operation of the belt conveyor, and remote guidance is carried out on the field personnel, so that the operation efficiency of the system is improved, the occurrence times of accidents are reduced, the service life of equipment is prolonged, and the operation and maintenance costs of enterprises are reduced.

Description

technical field [0001] The invention relates to a belt conveyor fault monitoring and diagnosis system applicable to the fields of electric power, steel, coal, water conservancy, chemical industry, metallurgy, building materials, etc., especially a remote fault monitoring and diagnosis system for belt conveyors based on Internet of Things technology. diagnostic system. Background technique [0002] At present, belt conveyors are widely used in electric power, steel, coal, water conservancy, chemical industry, metallurgy, building materials and other fields. Large-scale development, but with the development of the belt conveyor system equipment body to the large-scale direction, the traditional belt conveyor monitoring system has the following main problems: [0003] 1. On-site subsystems are independent of each other, and the degree of integration is low. [0004] 2. It is impossible to predict and predict the fault information, and can only manually check the faults that o...

AI Technical Summary

Problems solved by technology

[0003] 1. On-site subsystems are independent of each other, and the degree of integration is low

[0004] 2. It is impossible to predict and predict the fault information, and can only manually check the faults that occur and take remedial measures

[0005] 3. Manual inspection is used to manage and maintain the equipment. The workload is heavy, the efficiency is low, the misjudgment rate is high, and the cost is high.

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