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IoT and Big Data Technologies for Health Care. Second EAI International Conference, IoTCare 2021, Virtual Event, October 18-19, 2021, Proceedings, Part I

Research Article

Power Frequency Control Method of Electrical Equipment Under Internet of Things Technology

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-030-94185-7_35,
        author={Hong-yu Huang and Qing-huan Qin},
        title={Power Frequency Control Method of Electrical Equipment Under Internet of Things Technology},
        proceedings={IoT and Big Data Technologies for Health Care. Second EAI International Conference, IoTCare 2021, Virtual Event, October 18-19, 2021, Proceedings, Part I},
        proceedings_a={IOTCARE},
        year={2022},
        month={6},
        keywords={Internet of Things technology Electrical equipment Power frequency control Safety factor},
        doi={10.1007/978-3-030-94185-7_35}
    }
    
  • Hong-yu Huang
    Qing-huan Qin
    Year: 2022
    Power Frequency Control Method of Electrical Equipment Under Internet of Things Technology
    IOTCARE
    Springer
    DOI: 10.1007/978-3-030-94185-7_35
Hong-yu Huang1,*, Qing-huan Qin1
  • 1: Guangxi Modern Polytechnic College
*Contact email: huanghongyu6542@163.com

Abstract

The power frequency of electrical equipment is related to the safety of the equipment, but the traditional control method is difficult to guarantee the safety of the electrical equipment because of the small difference between the activity characteristics of the power information extracted by the traditional control method. Therefore, this study proposes a power frequency control method for electrical equipment based on Internet of Things technology. Firstly, power supply information of electrical equipment is collected based on the Internet of Things technology, and then a collaborative model is established to extract the frequency fluctuation characteristics of power supply. Based on this, the frequency fluctuation range is located, the node information is compressed sensing on the basis of two feature data processing, and then chaotic algorithm is used to control the frequency fluctuation trajectory of the power supply. Four groups of variables were set to test the safety performance guarantee effect of the control method. Compared with the traditional control method, the safety factor of the electrical equipment is 7.96% higher than that of the traditional control method. It can be seen that the method in this paper can effectively improve the use safety of electrical equipment.

Keywords
Internet of Things technology Electrical equipment Power frequency control Safety factor
Published
2022-06-18
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-94185-7_35
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