Layout optimization of video intelligent terminal for substation safety monitoring
DOI：10.7667/PSPC20191218
Key Words:artificial intelligence  substation  video monitoring terminal  layout optimization
Author NameAffiliationE-mail
LIN Xiaobin Qingyuan Power Supply Bureau of Guangdong Power Grid Inc, Qingyuan 511500, China  
JIANG Haoxia Guangzhou Power Electrical Technology Co., Ltd, Guangzhou 510670, China  
HU Jinlei Qingyuan Power Supply Bureau of Guangdong Power Grid Inc, Qingyuan 511500, China  
ZHOU Junhuang Guangzhou Power Electrical Technology Co., Ltd, Guangzhou 510670, China 272757783@qq.com 
LI Cunhai Qingyuan Power Supply Bureau of Guangdong Power Grid Inc, Qingyuan 511500, China  
Hits: 3688
Download times: 1455
Abstract:Artificial intelligence video surveillance technology has broad application prospects in substation safety monitoring and management. In order to improve the utilization efficiency of the camera terminal in the video surveillance system of smart substation, the optimization layout model and algorithm of the smart camera terminal are studied. Firstly, based on the idea of rasterization, the plan of the substation is divided into regions. And the importance matrix of monitoring area is proposed to describe the importance of regions and equipment. Then, a definition discrete model of camera monitoring range is established. Based on this, the monitoring multiplier function is introduced to establish the layout optimization model for substation surveillance cameras terminals. This model takes the minimum average monitoring distance as the optimization goal, taking into account the constraints of camera selection and site selection and acquisition cost. And then the genetic algorithm is used to solve the model to get the optimal layout of the cameras. Finally, the validity and practicability of the model in reducing the number of monitoring blind spots are verified by simulation example, which has high engineering application value. This work is supported by Science and Technology Project of Guangdong Power Grid Ltd. (No. 031800KK52160013) and Natural Science Foundation of Guangdong Province (No. 2017A030313304).
View Full Text  View/Add Comment  Download reader