Title :
Research on the Technology of Fire Detection Based on Image Processing in Unmanned Substation
Author :
Zhou jun-zhe ; Song Ge
Author_Institution :
Shenyang Ligong Univ., Shenyang, China
Abstract :
Nowadays, unmanned substation is a new trend for electrical power system with the fast development of new science and technology. Fire detection technology is the major part of unmanned substation. How to judge the fire flame is the key of image-type fire detecting technology. In this paper, a unmanned substation in the environment of the specific process of fire detection and testing process for each step in more detail, through the differential to determine, image extraction, flame recognition three steps on the flame testing done considering. The method can greatly improve veracity of fire prediction, comparing with the traditional detection method.
Keywords :
feature extraction; fires; image processing; electrical power system; fire detection; fire detection technology; flame recognition; image extraction; image processing; unmanned substation; determine differential; fire detection; flame recognition; image extraction; unmanned substation;
Conference_Titel :
Intelligent Networks and Intelligent Systems (ICINIS), 2010 3rd International Conference on
Conference_Location :
Shenyang
Print_ISBN :
978-1-4244-8548-2
Electronic_ISBN :
978-0-7695-4249-2
DOI :
10.1109/ICINIS.2010.131