[Oral Presentation]Research and Application on Power Generation Safety Monitoring and Cloud Platform

Research and Application on Power Generation Safety Monitoring and Cloud Platform

ID：108 Submission ID：1445 View Protection：ATTENDEE Updated Time：2020-10-28 19:23:07 Hits：253 Oral Presentation

Start Time：2020-11-04 10:45 （Asia/Shanghai）

Duration：15min

Session：[A] Power System » [A4] Session 21 and Session 26

Video No Permission Presentation File

Tips: The file permissions under this presentation are only for participants. You have not logged in yet and cannot view it temporarily.

Abstract

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.

Keywords

Power generation safety,Real-Time Monitoring,cloud platform

Speaker

peiwen sun

Huazhong University of Science and Technology；School of Electrical and Electronic Engineering

Submission Author

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