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Advanced Hybrid Information Processing. 7th EAI International Conference, ADHIP 2023, Harbin, China, September 22-24, 2023, Proceedings, Part II

Research Article

Research on Electrical Equipment Status Monitoring Method Based on Wireless Communication Technology

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-50546-1_18,
        author={Rong Zhu and Wenwei Li},
        title={Research on Electrical Equipment Status Monitoring Method Based on Wireless Communication Technology},
        proceedings={Advanced Hybrid Information Processing. 7th EAI International Conference, ADHIP 2023, Harbin, China, September 22-24, 2023, Proceedings, Part II},
        proceedings_a={ADHIP PART 2},
        year={2024},
        month={3},
        keywords={Wireless communication technology Electrical equipment Status monitoring Fourier transform},
        doi={10.1007/978-3-031-50546-1_18}
    }
    
  • Rong Zhu
    Wenwei Li
    Year: 2024
    Research on Electrical Equipment Status Monitoring Method Based on Wireless Communication Technology
    ADHIP PART 2
    Springer
    DOI: 10.1007/978-3-031-50546-1_18
Rong Zhu1,*, Wenwei Li2
  • 1: Yili Xingtian Coal Chemistry Co., Ltd.
  • 2: Qinzhou Power Supply Bureau of Guangxi Power Grid Co., Ltd.
*Contact email: zzhappy888@163.com

Abstract

The current methods for monitoring the status of electrical equipment are prone to interference from the external environment, resulting in low accuracy of monitoring results and longer monitoring time. Therefore, this study proposes a method for monitoring the status of electrical equipment based on wireless communication technology. Firstly, a low-power wireless transceiver module is established based on RF transceivers. After selecting a suitable wireless communication receiving device, a wireless monitoring framework is established. Then, Fourier transform technology is used to collect electrical equipment status monitoring signal data, and wavelet analysis technology is used to organize the collected signals. Finally, neural network technology is used to evaluate the real-time status of electrical equipment. Through data mining, conduct in-depth analysis of signal data to obtain the final monitoring results. The experimental results show that this method can effectively improve the accuracy of monitoring results and shorten the output time of monitoring results.

Keywords
Wireless communication technology Electrical equipment Status monitoring Fourier transform
Published
2024-03-24
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-50546-1_18
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