Information Fusion technology for Underground Trackless Equipment on Fire Detection

摘要：

When using a single sensor for fire detection, larger uncertainty and higher false alarm rate always are common problems. Multi-sensor information fusion technology could effectively deal with these problems. At present, multi-sensor information fusion technology has wide applications on fire detection system in intelligent building, forest fire forecast and ground transport. Underground trackless equipment fire detection system using a fusion information technology is rarely reported. This paper discusses theories and methods of the multi-sensor information fusion technology. Based on actual characterized of the underground trackless equipment fire, method of fusion information is analyzed and an application model and a relevant algorithm for fire detection are proposed.

关键词： multi-sensor information fusion fusion algorithm spline weight function neural network

作者: Xin Liu Tianyou Hu Xuesheng Li

作者单位: School of Mechatronics Engineering,University of Electronic Science and Technology of China No.4,Sec Institute of Astronautics and Aeronautics University of Electronic Science and Technology of China N

会议类型: 国际会议

会议名称: 2009 9th International Conference on Electronic Measurement & Instruments(第九届电子测量与仪器国际会议 ICEMI2009)

会议地点: 北京

会议语种:英文

页码: 2237-2243

在线出版日期: 2009-08-16（万方平台首次上网日期，不代表论文的发表时间）