Abstract
At present, electrical equipment is closely related to people’s lives, and electrical equipment management has long become a key part of modern society. However, compared with other management systems, this type of system has the characteristics of long service life and complex management equipment. In order to accurately divide and manage the needs of the enterprise, a certain degree of understanding must be established in advance. This paper has realized a complete set of electrical equipment monitoring and management platform oriented to the power Internet of Things (EEMP) through the actual analysis of user needs and the main steps of outline design, detailed design and system implementation and testing. Through embedded intelligent Internet of Things equipment, EEMP realizes the main functions of intelligent inspection of electrical equipment, health detection of electrical equipment in use, and authenticity identification of electrical equipment. Experiments show that EEMP can help users get rid of traditional written records, eliminate safety hazards in a timely manner, quickly locate unexpected situations, accurately pursue responsibility, and ensure the safe use of equipment.
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Conflicts of Interest
The authors declare that they have no conflicts of interest to report regarding the present study.
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Acknowledgment
The authors would like to thank the associate editor and the reviewers for the time and effort provided to review the manuscript.
Funding
This work is supported by State Grid Shandong Electric Power Company Science and Technology Project Funding under Grant no. 520613200001,520613180002, 62061318C002, the Fundamental Research Funds for the Central Universities (Grant No. HIT. NSRIF.201714), Weihai Science and Technology Development Program (2016DX GJMS15), Future Network Scientific Research Fund Project (SN: FNSRFP-2021-YB-56) and Key Research and Development Program in Shandong Provincial (2017GGX90103).
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Qiao, X. et al. (2022). EEMP: Architecture Design of Electrical Equipment Monitoring and Management Platform Oriented to Power Internet of Things. In: Sun, X., Zhang, X., Xia, Z., Bertino, E. (eds) Advances in Artificial Intelligence and Security. ICAIS 2022. Communications in Computer and Information Science, vol 1588. Springer, Cham. https://doi.org/10.1007/978-3-031-06764-8_49
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DOI: https://doi.org/10.1007/978-3-031-06764-8_49
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