E3S Web Conf.
Volume 145, 20202019 International Academic Exchange Conference on Science and Technology Innovation (IAECST 2019)
|Number of page(s)||3|
|Section||International Conference on New Energy Science and Environmental Engineering|
|Published online||06 February 2020|
Research on video enhancement concentration and intelligent monitoring technology in Substation
1 State Grid Yingkou Electric Power Supply Co., Ltd., Yingkou, Liaoning Province, 115000, China
2 State Grid Shenyang Electric Power Supply Co., Ltd., Shenyang, Liaoning Province, 110004, China
* Corresponding author’s e-mail: email@example.com
With the development of intelligent theory of computer vision and the popularization of surveillance cameras, intelligent video analysis and surveillance technology has been widely used. The traditional video monitoring system will produce a large amount of video information in the application process, which is not conducive to the storage and reference of information, and it can not carry out real-time warning, and has poor robustness to the bad environment. In view of these disadvantages, this paper proposes an improved video enhancement and concentration method, which has a good effect in ensuring the video concentration ratio and the target loss rate, and can improve the shortcomings brought by manual reference. Aiming at the problem of real-time early warning, an intelligent video analysis method is proposed to realize the functions of event alarm and detection analysis. It is of great significance to improve the video monitoring management level of the substation and realize the unattended operation of the substation.
© The Authors, published by EDP Sciences 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.