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
终稿
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.
重要日期
  • 会议日期

    11月02日

    2020

    11月04日

    2020

  • 10月27日 2020

    初稿截稿日期

  • 11月03日 2020

    报告提交截止日期

  • 11月04日 2020

    注册截止日期

  • 11月17日 2020

    终稿截稿日期

主办单位
IEEE IAS Student Chapter of Huazhong University of Science and Technology (HUST)
承办单位
Huazhong University of Science and Technology
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