摘要
在分析公路隧道火灾特点的基础上,依据数据融合的基本原理,充分利用多个传感器资源,把多个传感器在空间和时间上的冗余或互补信息依据某种准则来进行组合,以获得被测对象的一致性解释或描述。提出了一种基于数据融合技术的隧道火灾探测算法,以感烟、感温和感光传感器的模拟量为输入,利用人工神经网络和模糊逻辑技术对多传感器信号进行融合,设计出一种快速、准确和有效的隧道火灾自动探测融合系统,可缩短报警时间,降低误报警率。克服了火灾探测算法单一使用固定阈值的弊端。
After analyzing the characteristic of tunnel fire, according to the rationale of data fusion, the space-time redundancy and complemented sensor information was composed 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 and ultrared light 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.
出处
《西安科技大学学报》
CAS
北大核心
2007年第3期435-438,共4页
Journal of Xi’an University of Science and Technology
