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EEMP: Architecture Design of Electrical Equipment Monitoring and Management Platform Oriented to Power Internet of Things

  • Xueming Qiao
  • , Hao Chen
  • , Weiyi Zhu
  • , Ping Meng
  • , Yansheng Fu
  • , Xiaoyu He
  • , Lechuan Hao
  • , Dongjie Zhu*
  • *Corresponding author for this work
  • State Grid Weihai Power Supply Company
  • Shandong Electric Power Research Institute
  • School of Computer Science and Technology, Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationAdvances in Artificial Intelligence and Security - 8th International Conference on Artificial Intelligence and Security, ICAIS 2022, Proceedings
EditorsXingming Sun, Xiaorui Zhang, Zhihua Xia, Elisa Bertino
PublisherSpringer Science and Business Media Deutschland GmbH
Pages632-642
Number of pages11
ISBN (Print)9783031067631
DOIs
StatePublished - 2022
Externally publishedYes
Event8th International Conference on Artificial Intelligence and Security , ICAIS 2022 - Qinghai, China
Duration: 15 Jul 202220 Jul 2022

Publication series

NameCommunications in Computer and Information Science
Volume1588 CCIS
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

Conference8th International Conference on Artificial Intelligence and Security , ICAIS 2022
Country/TerritoryChina
CityQinghai
Period15/07/2220/07/22

Keywords

  • Authenticity identification
  • Electrical equipment
  • Health detection
  • Intelligent inspection
  • Power Internet of Things

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