Title :
Information fusion technology for underground trackless equipment on fire detection
Author :
Liu, Xin ; Hu, Tianyou ; Li, Xuesheng
Author_Institution :
Sch. of Mechatron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Abstract :
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.
Keywords :
sensor fusion; smoke detectors; underground equipment; false alarm rate; fire detection system; information fusion technology; intelligent building; multisensor information fusion technology; underground trackless equipment; Data mining; Fires; Intelligent sensors; Intelligent structures; Intelligent systems; Sensor fusion; Signal processing algorithms; Space technology; Technology forecasting; Uncertainty; fusion algorithm; multi-sensor information fusion; neural network; spline weight function;
Conference_Titel :
Electronic Measurement & Instruments, 2009. ICEMI '09. 9th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-3863-1
Electronic_ISBN :
978-1-4244-3864-8
DOI :
10.1109/ICEMI.2009.5274382
