Proceedings of the 13th EAI International Conference on Mobile Multimedia Communications, Mobimedia 2020, 27-28 August 2020, Cyberspace

Research Article

Remote monitoring system for embedded network equipment faults based on Internet of Things

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  • @INPROCEEDINGS{10.4108/eai.27-8-2020.2294615,
        author={weixue  liu},
        title={Remote monitoring system for embedded network equipment faults based on Internet of Things},
        proceedings={Proceedings of the 13th EAI International Conference on Mobile Multimedia Communications, Mobimedia 2020, 27-28 August 2020, Cyberspace},
        publisher={EAI},
        proceedings_a={MOBIMEDIA},
        year={2020},
        month={11},
        keywords={internet of things;internet equipment;fault monitoring;system design},
        doi={10.4108/eai.27-8-2020.2294615}
    }
    
  • weixue liu
    Year: 2020
    Remote monitoring system for embedded network equipment faults based on Internet of Things
    MOBIMEDIA
    EAI
    DOI: 10.4108/eai.27-8-2020.2294615
weixue liu,*
    *Contact email: tiantiankaixin255@tom.com

    Abstract

    The current remote monitoring system for network equipment faults mainly uses three technologies: web, Internert, and CAN. Although these three systems meet the needs of the monitoring scope.However, when collecting data, due to insufficient information and simple analysis of the data, the accuracy of system monitoring is poor.To this end, a remote monitoring system for embedded network equipment faults based on the Internet of Things is studied.Based on the requirements analysis and combined with the industrial Internet of Things technology, the overall scheme of the system is given, and the system hardware design is carried out from the three aspects of the collector, communication equipment and host, and the corresponding software is designed in detail based on the three main system hardware.The results show that compared with the three remote monitoring systems for network equipment faults based on web, Internert, and CAN, the system has higher monitoring accuracy while ensuring the monitoring range, which indicates that the system has stronger comprehensive monitoring performance.