会议专题

Research of multi-sensor information fusion fire detection system

To reduce false fire alarms, combining with the character of fire signal, a kind of intelligent fire detection system of multi-sensor information fusion based on fuzzy neural network is proposed in this paper. This fire detector fuses three sensor data including temperature, smoke and CO air which have obvious character in fire and fire probability can be obtained by intelligent arithmetic of fuzzy neural network. As a result, The accuracy of the fire detection is improved effectively and the feasibility and validity of the system are proved by the simulation effects.

fire detection multi-sensor information fusion fuzzy neural network

Yanlei Jiang Jimeng Zhang

Henan Polytechnic Institute Nanyang,China

国际会议

2011 3rd International Conference on Computer and Network Technology(ICCNT 2011)(2011第三届IEEE计算机与网络技术国际会议)

太原

英文

631-634

2011-02-26(万方平台首次上网日期,不代表论文的发表时间)