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Application of the unmanned inspection system in power generation enterprises

Journal of physics. Conference series, 2022-12, Vol.2399 (1), p.012040 [Peer Reviewed Journal]

Published under licence by IOP Publishing Ltd ;Published under licence by IOP Publishing Ltd. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/2399/1/012040

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  • Title:
    Application of the unmanned inspection system in power generation enterprises
  • Author: hao-Li, Jing
  • Subjects: Artificial intelligence ; Control equipment ; Data processing ; Electric power generation ; Feature extraction ; Infrared imagery ; Inspection ; Object recognition ; Physics ; Real time ; Remote control ; Remote monitoring
  • Is Part Of: Journal of physics. Conference series, 2022-12, Vol.2399 (1), p.012040
  • Description: In the power generation company, it is the unmanned inspection system that can through visual image recognition, infrared monitoring, and fixed-point sensor complete the real-time monitoring of the plant area and equipment, through the system building perception layer, network layer, and application layer realizes the remote control command issued, and complete the equipment running status and working parameters of the real-time monitoring and remote control. Through the design of the bearing state feature extraction method and the fusion of machine mechanism, and artificial intelligence data processing method, the intelligent diagnosis and early warning of the whole plant equipment are realized, and the one-click inspection of power generation enterprises is achieved.
  • Publisher: Bristol: IOP Publishing
  • Language: English
  • Identifier: ISSN: 1742-6588
    EISSN: 1742-6596
    DOI: 10.1088/1742-6596/2399/1/012040
  • Source: Freely Accessible Journals
    Open Access: IOP Publishing Free Content
    AUTh Library subscriptions: ProQuest Central
    IOPscience (Open Access)
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