Study on a Fire Detection System Based on Support Vector Machine

Sensors & Transducers

Xu Jingjing¹  Ye Xiaoting²  Wu Shasha² 

[1] Department of Electrical Engineering, Jiangsu Huaian Technician College, Huaian Jiangsu 223001, China;Faculty of Electronic and Electrical Engineering, Huaiyin Institute of Technology, Huaian Jiangsu 223003, China ;

关键词: Support vector machine;    Fire detection;    Sensor array;    Pattern recognition.;   

DOI  :  

来源: DOAJ

【 摘 要 】

It is very important to research the prediction of fire, which is significant to the people and nation. The traditional fire detection system based on neural network has the disadvantages of over learning, trapped in local minimum, etc. This paper proposes a new fire detection system based on support vector machine (SVM). Gas sensors, smoke sensor and temperature sensor are composed to be a sensor array. The fire detection model is established, including sample selection, prediction model training prediction, output modules, etc. The SVM transform the complicated nonlinear problem into the linear problem in the high dimensional plane. The experimental results show that fire detection system based on support vector machine had high recognition rate and reliability, it overcomes the disadvantages of traditional methods.

【 授权许可】

Unknown