Title :
The Research of Intelligent Vision System for Smart Substation
Author_Institution :
Technol. Coll., State Grid Corp. of China, Jinan, China
Abstract :
In order to further enhance the security, stability and reliability of smart substation operation, we research and develop an intelligent vision system for monitoring the operational environment of smart substation and the operational status of intelligent substation equipment. At the recent stage, this system includes the intelligent environment surveillance subsystem based on visual tracking technology and machine learning algorithm, and the intelligent equipment surveillance subsystem based on feature matching and image fusion technology.
Keywords :
computer vision; computerised monitoring; image fusion; image matching; learning (artificial intelligence); power engineering computing; power system reliability; power system security; smart power grids; substations; feature image matching; image fusion technology; intelligent environment surveillance subsystem; intelligent substation equipment; intelligent vision system; machine learning algorithm; operational environment monitoring; smart grid; smart substation reliability; smart substation security; smart substation stability; visual tracking technology; Feature extraction; Gaussian processes; Interpolation; Particle filters; Proposals; Substations; Surveillance; Feature Matching; Image Fusion; Machine Learning; Smart Grid; Smart Substation; Visual Tracking;
Conference_Titel :
Intelligent System Design and Engineering Applications (ISDEA), 2013 Third International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4673-4893-5
DOI :
10.1109/ISDEA.2012.362
