Production equipment on-line monitor and fault diagnosis system and method based on wireless network

Abstract

The invention discloses a production equipment on-line monitor and fault diagnosis system and method based on the wireless network. The system comprises a wireless detecting meter, a data server and a monitor terminal. The wireless detecting meter is used for collecting a vibration sensing signal, a rotation speed signal and a temperature signal of a rolling bearing in production equipment in real time, processing and encrypting the signals and wirelessly sending the signals in a data package mode. The data server and the monitor terminal are connected with the wireless detecting meter in a wireless mode. According to the fault diagnosis mode, when the monitor terminal monitors a data package, the maximum value of vibration speed of the rolling bearing is calculated in real time, it represents that a fault occurs on the rolling bearing if the maximum value is greater than a set value, and it represents that the rolling bearing is normal if the maximum value is smaller than the set value; when the fault occurs on the rolling bearing, the fault feature frequency of the rolling bearing is extracted according to the wavelet analysis method so that the fault type and fault positions of the rolling bearing can be determined. The production equipment on-line monitor and fault diagnosis system and method based on the wireless network have the advantages that the operating condition of the production equipment can be monitored in real time, and reasons of faults can be known for sure.

Description

technical field [0001] The invention relates to the technical field of signal acquisition and analysis, and more specifically, to a system and method for on-line monitoring and fault diagnosis of production equipment based on a wireless network. Background technique [0002] At present, the following three technologies are used in the fault detection and fault diagnosis of production equipment in China. One is to listen to the sound of the equipment running, the other is to measure the temperature of the equipment, and the third is to analyze the oil: that is, to measure the content of iron filings in the lubricating oil, size and shape. Through the above three aspects, judge whether the equipment is faulty and the severity of the fault based on experience. [0003] In some large-scale and continuous production enterprises, such as: power plants, steel mills, paper mills, etc., they have begun to explore the use of spectrum analysis methods, and use handheld monitoring equi...

AI Technical Summary

Problems solved by technology

[0004] However, the equipment status data in the prior art is collected offline and with a handheld device, and the existing analysis technology usually finds that the equipment is defective only when the equipment defect is serious, and can only judge whether the equipment is still available

Real-time monitoring of the operation of production equipment cannot be realized

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