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Cloud, fog and edge end cooperative bearing state monitoring and management method and system

A management method and an edge-end technology, applied in the direction of mechanical bearing testing, mechanical component testing, machine/structural component testing, etc., can solve problems such as inability to accurately predict maintenance functions, data transmission pressure, and real-time feedback of monitored equipment. Achieve the effect of fast processing, reduced calculation burden and data transmission burden, and high data transmission

Active Publication Date: 2021-10-01
XI AN JIAOTONG UNIV
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Problems solved by technology

[0004] Through literature research, it can be found that most of the existing bearing condition monitoring and management systems are only implemented on a single platform at the edge or cloud. Due to the huge pressure of data transmission, it is difficult for the equipment to achieve real-time feedback to the monitored equipment, and the addition of fog end equipment can not only share the burden of calculation and transmission for the former two, but also provide a good personalized diagnosis platform
In addition, most of the existing cloud (fog) edge collaborative bearing condition monitoring and management systems can only realize the data-driven bearing fault diagnosis function, and cannot accurately realize the predictive maintenance function, while the digital twin bearing life prediction combined with digital and analog can accurately simulate Damage expansion of faulty bearings, calculation of remaining life, and providing a strong basis for spare parts allocation

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  • Cloud, fog and edge end cooperative bearing state monitoring and management method and system

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Embodiment Construction

[0032] The present invention will be described in detail below in conjunction with the accompanying drawings.

[0033]Most of the existing bearing condition monitoring and management systems based on big data technology are deployed on the cloud platform. Although the powerful computing power and data storage capacity of the cloud platform can be utilized, there are disadvantages of high information transmission pressure and poor real-time feedback to the underlying equipment. In recent years, the cloud-edge collaboration solution, which has emerged in recent years, uses edge computing technology to realize the processing and feature extraction of the original test signal at the terminal, which reduces the pressure on information transmission and improves the real-time feedback of the underlying equipment. However, for fault diagnosis of regional equipment clusters and life prediction customized model training, this solution cannot be solved well. In addition, the existing clo...

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Abstract

The invention discloses a cloud, fog and edge end cooperative bearing state monitoring and management system and method. The method comprises the steps that a bearing operation signal is obtained, the noise reduction, feature extraction and other signal processing are conducted, a result is uploaded to fog end equipment, the fog end equipment updates the bearing digital twin model according to the information uploaded by the edge end, performs fault diagnosis and life prediction of digital-analog fusion, uploads a result and part of edge end information to the cloud end, and receives a customized bearing fault diagnosis and life prediction model issued by the cloud end; and the cloud end receives fog end information, performs spatio-temporal data indexing, calculates a customized bearing fault diagnosis and service life prediction model for the fog end, and provides a predictive maintenance scheme. According to the scheme, the defects that an existing bearing operation and maintenance system based on the big data technology is few in calculation hierarchy, single in function and dependent on data driving are overcome, and an efficient calculation framework and an accurate diagnosis and prediction scheme are provided for predictive maintenance.

Description

technical field [0001] The invention belongs to the technical field of mechanical diagnosis intelligence and digitization, and in particular relates to a bearing state monitoring and management method and system coordinated by cloud, fog and edge terminals. Background technique [0002] High-end bearings are the key load-bearing and transmission components of rotating machinery in major equipment such as wind turbines and high-speed rail, and their service life determines the refurbishment period and reliability of the complete machine. The working conditions of high-end bearings are complex, with extreme working conditions such as high speed, high temperature, overload shock, and large-scale fluctuations in working conditions. This makes the bearing prone to peeling, pitting and slipping during long-term use, and eventually leads to bearing failure. The online bearing condition monitoring and management system can dynamically obtain the bearing operating status in real time...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01M13/04G01M13/045G06F30/17
CPCG01M13/04G01M13/045G06F30/17G06F2119/02G06F2119/04G06F2119/14
Inventor 曹宏瑞罗杨彭城陈雪峰
Owner XI AN JIAOTONG UNIV
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