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Research on equipment management module technology of new intelligent operation machine control of power system based on AIOT technology

Published:03 May 2024Publication History

ABSTRACT

with the development of AI and IOT technology, the intelligent development of new power system provides a powerful technical support, in order to further strengthen the power transmission and transformation engineering deep foundation pit operation safety control, improve the level of construction safety, prevent infrastructure safety accidents, put forward the new type of power system based on AIOT technology intelligent operation machine control cloud platform technology research. The AI and IOT technology edge agent Internet of Things technology are integrated to realize the intelligent construction process. The technology automatically collects the foundation pit information through the monitoring instrument, conducts data analysis and early warning, improves the monitoring efficiency and safety guarantee, realizes the convenient deep foundation pit operation, intelligent monitoring, and can more efficiently prevent and solve a series of safety problems encountered in the process of deep foundation pit operation.

References

  1. Jie Y, Yingjing L, Saffet Y, An intelligent procedure for updating deformation prediction of braced excavation in clay using gated recurrent unit neural networks[J].Journal of Rock Mechanics and Geotechnical Engineering, 2021, 13(6):46-50.Google ScholarGoogle Scholar
  2. Zhe S, Haoyang L, Yan B, Intelligent Risk Prognosis and Control of Foundation Pit Excavation Based on Digital Twin [J]. Buildings, 2023, 13(1):113-118.Google ScholarGoogle ScholarCross RefCross Ref
  3. Guan Heyao, Fan Ping, Liang Pei Yi. Research on artificial Intelligence + Internet of Things Technology for security management and control of key power equipment [J]. Yangtze River Information and Communication, 2021, 34 (8): 114-116.Google ScholarGoogle Scholar
  4. Huang Shuo, Jiang Yongchun. Research on the construction process of deep foundation pit based on BIM + IoT + AI technology [J]. Construction Technology Development, 2023, 50 (1): 66-68.Google ScholarGoogle Scholar
  5. TAO Kai, HUO Shujie, LIU Guangjun, Whole process analysis of distribution network engineering data based on CIM and intelligent optimization[J]. Electronic Design Engineering, 2023, 31(9):114-117,122.Google ScholarGoogle Scholar
  6. Li Yanguo, Li Guanliang, Zhang Kai, Design of the IoT framework based on Artificial Intelligence and Edge Agents [J]. Computer Engineering, 2023, 49 (10): 313-320.Google ScholarGoogle Scholar
  7. Nie Qihe, Chen Long, Liu Lingyun, Application of cable channel integrated monitoring system based on Internet of Things technology [J]. Integrated circuit applications, 2021, 38 (2): 192-194.Google ScholarGoogle Scholar
  8. HUANG Yafei, CHEN Qingyun, ZHANG Liao, Research on the design of intelligent algorithm for power engineering data application by fusing multiple feature parameters[J]. Electronic Design Engineering, 2023, 31(21):109-113.Google ScholarGoogle Scholar
  9. YANG Jia, LIU Ke, WANG Xuan, Research and application of secondary security measures and control technology of intelligent substation[J]. Electrical Measurement and Instrumentation, 2020, 57(13):104-111.Google ScholarGoogle Scholar
  10. WANG Shu, LI Mingyong, ZHANG Wei, Development of intelligent control technology for construction sites based on 3D GIS+IoT[J]. Engineering Survey, 2022, 50(12):57-60.Google ScholarGoogle Scholar
  11. TIAN Yishuai, FAN Hailong, YANG Xingmeng, Design of integrated control system for power distribution project based on multi-source data acquisition and intelligent analysis[J]. Electronic Design Engineering, 2023, 31(11):70-74.Google ScholarGoogle Scholar

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    • Published in

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      IoTAAI '23: Proceedings of the 2023 5th International Conference on Internet of Things, Automation and Artificial Intelligence
      November 2023
      902 pages
      ISBN:9798400716485
      DOI:10.1145/3653081

      Copyright © 2023 ACM

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      New York, NY, United States

      Publication History

      • Published: 3 May 2024

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