基于数据融合技术的公路隧道火灾探测研究

fter analyzing the characteristic of tunnel fire, according to the rationale of data fusion, the space-time redundancy and complemented sensor information was composing by the rule,to have a consistent explainer and description of the object.Proposed a kind of tunnel fire detection based on the data fusion technology, The input analog signals are provided by smoke, temperature, ultrared light and gas sensors,and the algorithm synthesizes those signals by the neural network and the fuzzy logic technology,design a kind of quick,exact and effective tunnel fire detecting system,which can shorten the time of alarm and reducing misalarm.The results conquer the disadvantage of using fixed threshold in fire detection.