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Remote monitoring and fault diagnosis system based on cloud service and fault diagnosis method

A fault diagnosis system and remote monitoring technology, applied in the transmission system, digital transmission system, electrical components, etc., can solve the problems of not meeting modern maintenance requirements, complexity and maintenance difficulty, etc., to achieve easy expansion and improve diagnosis Accurate, highly reusable effects

Active Publication Date: 2017-10-20
厦门嵘拓物联科技有限公司
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  • Abstract
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  • Application Information

AI Technical Summary

Problems solved by technology

Mechanical equipment continues to adopt modern advanced industrial technology, which makes its complexity and maintenance difficulty continue to increase. At the same time, the requirements for real-time, reliability, and integrity of data collection and analysis are also getting higher and higher. The traditional stand-alone and on-site methods Advanced equipment monitoring and fault diagnosis systems can no longer meet modern maintenance requirements

Method used

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  • Remote monitoring and fault diagnosis system based on cloud service and fault diagnosis method
  • Remote monitoring and fault diagnosis system based on cloud service and fault diagnosis method
  • Remote monitoring and fault diagnosis system based on cloud service and fault diagnosis method

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Embodiment Construction

[0071] This embodiment takes the RT-RMDS remote monitoring and fault diagnosis system as a prototype to describe the implementation of the present invention in detail. RT-RMDS remote monitoring and fault diagnosis system, based on cloud service architecture, aims at the distribution characteristics of large, complex and high-tech equipment in the manufacturing industry. It can realize timely response to status monitoring and fault handling, and has functions such as resource sharing, remote collaboration, and data exchange.

[0072] Such as figure 1 As shown, a cloud service-based remote monitoring and fault diagnosis system includes a data acquisition unit 100, a remote communication gateway unit 200, a cloud storage management unit 300, and a cloud service center unit 400;

[0073] The data acquisition unit 100 and the remote communication gateway unit 200 are connected through a 4G network;

[0074] Between the remote communication gateway unit 200 and the cloud storage m...

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Abstract

The invention discloses a remote monitoring and fault diagnosis system based on a cloud service and a fault diagnosis method, and relates to the field of intelligent manufacturing and cloud diagnosis. The remote monitoring and fault diagnosis system comprises a data acquisition unit, a remote communication gateway unit, a cloud storage management unit and a cloud service center unit. The data acquisition unit is deployed on a data acquisition terminal; the remote communication gateway unit is deployed on a cloud front gateway server; the cloud storage management unit is deployed on a cloud data server and the cloud service center unit is deployed on a cloud application server. According to the invention, a BP neural network fault diagnosis method based on genetic algorithm optimization is creatively applied to the remote monitoring and fault diagnosis system, and a remote monitoring and fault diagnosis service suitable for a cross-region environment can be conveniently and rapidly provided; and mechanical equipment remote online working condition monitoring can be provided for technical personnel of equipment manufacturers, and rapid, accurate and efficient diagnosis on a complex fault can be provided for mechanical equipment used by production enterprises.

Description

technical field [0001] The invention relates to the field of intelligent manufacturing and cloud diagnosis, in particular to a cloud service-based remote monitoring and fault diagnosis system and fault diagnosis method. Background technique [0002] With the rapid development and wide application of computer, data acquisition, sensor and network technologies, manufacturing technology is also developing towards networking and intelligence. Mechanical equipment continues to adopt modern advanced industrial technology, which makes its complexity and maintenance difficulty continue to increase. At the same time, the requirements for real-time, reliability, and integrity of data collection and analysis are also getting higher and higher. The traditional stand-alone and on-site methods Advanced equipment monitoring and fault diagnosis systems can no longer meet modern maintenance requirements. How to reduce the business trips of technicians, especially high-level product R&D pers...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L12/24H04L12/26H04L29/08
CPCH04L41/06H04L43/08H04L67/025H04L67/1097
Inventor 王维龙郑孟凯谢少军杨开益
Owner 厦门嵘拓物联科技有限公司
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