A forest fire is a severe threat to forest resources and human life, In this paper, we propose a forest-fire detection system that has an artificial neural network algorithm implemented in a wireless sensor network （...A forest fire is a severe threat to forest resources and human life, In this paper, we propose a forest-fire detection system that has an artificial neural network algorithm implemented in a wireless sensor network （WSN）. The proposed detection system mitigates the threat of forest fires by provide accurate fire alarm with low maintenance cost. The accuracy is increased by the novel multi- criteria detection, referred to as an alarm decision depends on multiple attributes of a forest fire. The multi-criteria detection is implemented by the artificial neural network algorithm. Meanwhile, we have developed a prototype of the proposed system consisting of the solar batter module, the fire detection module and the user interface module.展开更多
Ultraviolet （UV） fire detector is used to detect fire according to the ultraviolet radiation of the flame. High detecting sensitivity of the sensor requires high ultraviolet transmission property of the detecting wi...Ultraviolet （UV） fire detector is used to detect fire according to the ultraviolet radiation of the flame. High detecting sensitivity of the sensor requires high ultraviolet transmission property of the detecting window. In this paper, high performance JGS-1 （type name of glass） ultraviolet quartz glass is used as the sensor detecting window material and the ultraviolet transmission characteristics of the glass is studied. A new method with the smart fire detecting module to test the ultraviolet transmission parameter of quartz glass is demonstrated. The comparison results of UV spectrometer and this new method manifest that JGS-1 quartz glass has good ultraviolet transmission character and the new test method with fire detecting module is direct and feasible.展开更多
文摘A forest fire is a severe threat to forest resources and human life, In this paper, we propose a forest-fire detection system that has an artificial neural network algorithm implemented in a wireless sensor network （WSN）. The proposed detection system mitigates the threat of forest fires by provide accurate fire alarm with low maintenance cost. The accuracy is increased by the novel multi- criteria detection, referred to as an alarm decision depends on multiple attributes of a forest fire. The multi-criteria detection is implemented by the artificial neural network algorithm. Meanwhile, we have developed a prototype of the proposed system consisting of the solar batter module, the fire detection module and the user interface module.
基金Supported by the National Nature Science Foundation of China (No. 60572007) and the Ministry of Education Program of China (No.20040614004)
文摘Ultraviolet （UV） fire detector is used to detect fire according to the ultraviolet radiation of the flame. High detecting sensitivity of the sensor requires high ultraviolet transmission property of the detecting window. In this paper, high performance JGS-1 （type name of glass） ultraviolet quartz glass is used as the sensor detecting window material and the ultraviolet transmission characteristics of the glass is studied. A new method with the smart fire detecting module to test the ultraviolet transmission parameter of quartz glass is demonstrated. The comparison results of UV spectrometer and this new method manifest that JGS-1 quartz glass has good ultraviolet transmission character and the new test method with fire detecting module is direct and feasible.
