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1445 / 2020-09-29 17:52:02
Research and Application on Power Generation Safety Monitoring and Cloud Platform
Power generation safety,Real-Time Monitoring,cloud platform
Power System and new energy
Final Paper
peiwen sun / Huazhong University of Science and Technology；School of Electrical and Electronic Engineering
jiawei wang / Huazhong University of Science and Technology；School of Electrical and Electronic Engineering
Yijin Xu / Huazhong University of Science and Technology；School of Electrical and Electronic Engineering
lingyun wang / Huazhong University of Science and Technology；School of Electrical and Electronic Engineering
Aiming at the problem that the traditional monitoring mode of power generation can’t monitor the normative behavior of operators as well as realize the comprehensive monitoring and intelligent decision-making analysis of power generation safety, this paper applies cloud platform, real-time database, OpenPose and TensorFlow to the power generation safety management system to monitor and manage the operation process of staff. The research shows that the application of cloud computing and deep learning technology in power generation safety monitoring system can significantly improve the compatibility, real-time performance and supervision ability of the system, and ensure the accuracy and recognition rate of data.
Important Date

  • Conference Date

    Nov 02

    2020

    to

    Nov 04

    2020

  • Oct 27 2020

    Draft paper submission deadline

  • Nov 03 2020

    Contribution Submission Deadline

  • Nov 04 2020

    Registration deadline

  • Nov 17 2020

    Final Paper Deadline

Sponsored By
IEEE IAS Student Chapter of Huazhong University of Science and Technology (HUST)
Organized By
Huazhong University of Science and Technology
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