Edge computing method, medium and system for rotating equipment monitoring

A technology of rotating equipment and edge computing, which is applied to measuring devices, measuring ultrasonic/sonic/infrasonic waves, instruments, etc., can solve problems such as network transmission costs and information integrity, and achieve the effect of reducing data transmission volume and reducing costs

Active Publication Date: 2021-10-15
郑州恩普特科技股份有限公司 +1
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to provide an edge computing method, medium and system for rotating equipment monitoring, so as to solve the problem that the cost of network transmission and the integrity of transmission information cannot be considered in the prior art

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Edge computing method, medium and system for rotating equipment monitoring
  • Edge computing method, medium and system for rotating equipment monitoring
  • Edge computing method, medium and system for rotating equipment monitoring

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0046] Rotating equipment monitoring system embodiment:

[0047] Such as figure 1 As shown, the rotating equipment monitoring system includes a sensor that collects the vibration signal of the centrifugal pump, an edge computing unit (not shown in the figure) and a cloud server installed inside the sensor. The edge computing unit preprocesses the vibration signal and obtains the characteristic The data is transmitted to the cloud server through the wireless gateway. The cloud server analyzes the received characteristic data to obtain the specific fault diagnosis results of the centrifugal pump, and then transmits the specific fault diagnosis results to the user terminal, and the user can view the centrifugal pump fault diagnosis results on the terminal.

[0048] The preprocessing process of the edge computing unit in this embodiment includes the following steps:

[0049] 1) According to the acquired vibration signal f(t) of the centrifugal pump, such as figure 2 As shown, ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention relates to an edge computing method, medium and system for rotating equipment monitoring, belonging to the field of equipment fault monitoring. The method includes the following steps: 1) using an edge computing unit to preprocess the collected vibration signal of the rotating equipment; the preprocessing process includes: A. calculating the pass frequency value of the vibration signal according to the vibration signal; B. performing the vibration signal in the frequency domain Convert, divide the converted frequency-domain vibration signal into several narrow-band signals; C. Perform inverse Fourier transform on each narrow-band signal to obtain the time-domain signal of each narrow-band, and obtain the corresponding vibration amplitude of each narrow-band signal ; D. Determine whether the pass frequency value and the vibration amplitude value of each narrow band exceed the standard, and generate equipment status information according to the judgment result; 2) Transmit the characteristic data to the cloud server. The invention converts the collected vibration waveform data of the rotating equipment into characteristic data and transmits it to the cloud server, thereby reducing the cost of network transmission and taking into account the integrity of the transmission information.

Description

technical field [0001] The invention relates to an edge computing method, medium and system for monitoring rotating equipment, and belongs to the field of equipment fault monitoring. Background technique [0002] With the rapid development of wireless sensor networks and cyber-physical fusion systems, how to more effectively extract real-time feature data of industrial equipment, judge equipment operating status, and avoid fault failures or false positives is the key to the current equipment intelligent diagnosis and cyber-physical fusion systems. an important issue in the field. In the current wireless equipment monitoring system, each wireless vibration sensor network only collects and transmits equipment vibration data in function, and does not have the function of data analysis and processing, nor can it automatically identify equipment failures. [0003] After the traditional sensor nodes collect the equipment vibration information, they need to transmit the complete v...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Patents(China)
IPC IPC(8): G01H17/00
CPCG01H17/00
Inventor 陈磊韩捷胡鑫孙浩雷文平李凌均王丽雅
Owner 郑州恩普特科技股份有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap