Intelligent video analysis platform based on edge artificial intelligence technology in power industry
ID:85 View Protection:ATTENDEE Updated Time:2022-05-16 09:41:10 Hits:369 Poster Presentation

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Abstract
Aiming at improving the safety management level and operational efficiency of power plant, an intelligent video analysis platform based on edge artificial intelligence technology is proposed. By integrated applications of artificial intelligence, machine learning and edge computing, the platform is structured of three components, named as end device, edge computing and cloud. We use front-end sensing devices to collect scene video and other data, by using traditional computer vision, neural networks, deep learning and other algorithms to analyze the collected data, to discover as far as possible the irregular behavior of personnel, equipment and environmental abnormalities. The platform forms corresponding event and alarm information and actively pushing alarm results, improving intrinsic safety management and control capabilities. Moreover, the container technology is used to expand the platform flexibility. The cloud supports remote update and replacement of edge-side functions. Based on cloud-edge collaboration, intelligent release can be directly realized, which guarantees the reliability, availability and scalability of the platform.
Keywords
Speaker
DaFu
Beijing Jingneng Energy Technology Research Co,Ltd.

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Important Date
  • Conference Date

    May 27

    2022

    to

    May 29

    2022

  • Feb 28 2022

    Draft paper submission deadline

  • May 29 2022

    Registration deadline

  • Jun 22 2022

    Contribution Submission Deadline

Sponsored By
IEEE Beijing Section
China Electrotechnical Society
Southeast University
Supported By
IEEE Industry Applications Society
IEEE Nanjing Section
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