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[会议论文]

Plate Condition Monitoring System Based on LoRa Wireless Transmission

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author:

Xu, Kang (Xu, Kang.) [1] | Chen, Dan (Chen, Dan.) [2] | Lin, Feng (Lin, Feng.) [3] | Unfold

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EI Scopus

Abstract:

In the process of tension stringing of transmission lines, the condition of the plate needs manual reporting, so its safety is poor, and its efficiency is low. To solve this problem, this study constructs a plate condition monitoring system of tension stringing based on the LoRa wireless transmission. This system consists of a data acquisition system, a wireless communication transmission system, and a monitoring and warning center. The STM32 is used to process the data collected by the sensors, and the LoRa wireless communication system is designed by way of adaptive dynamic change of LoRa's network ID, and the networking mode of the multi-node relay, and the data is sent to the upper computer from a distance, and the upper computer software is implemented by MFC, which can monitor the condition of the plate in real-time. The test results show that the packet loss rate of LoRa is less than 5%, and the condition data of the plate can be transmitted to the monitoring software through LoRa and displayed. This system has the advantages of strong confidentiality, far transmission, and high safety, which can be used for real-time monitoring of the condition of the plate in the process of tension stringing. © Published under licence by IOP Publishing Ltd.

Keyword:

Condition monitoring Data acquisition Software testing

Community:

  • [ 1 ] [Xu, Kang]College of Electrical and Automation, Fuzhou University, Fujian, Fuzhou; 350108, China
  • [ 2 ] [Chen, Dan]College of Electrical and Automation, Fuzhou University, Fujian, Fuzhou; 350108, China
  • [ 3 ] [Lin, Feng]College of Electrical and Automation, Fuzhou University, Fujian, Fuzhou; 350108, China
  • [ 4 ] [Tan, Qin]College of Electrical and Automation, Fuzhou University, Fujian, Fuzhou; 350108, China
  • [ 5 ] [Wen, Hao]College of Electrical and Automation, Fuzhou University, Fujian, Fuzhou; 350108, China

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ISSN: 1742-6588

Year: 2023

Issue: 1

Volume: 2479

Language: English

Cited Count:

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30 Days PV: 0

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