卡尔曼滤波在光纤测温隧道火灾监测系统中的应用

Application of Kalman Filtering in the Fire Monitoring System of Optical Fiber Temperature Measuring Tunnel

公路隧道具有结构封闭且狭长的特殊性,隧道内的环境温度监测系统,需要在保证连续实时测量的同时,不引入额外风险。光纤测温技术具有测量连续实时、现场无需供电等优点,适合用于公路隧道的环境温度监测。所以对测温信号进行合理的处理和分析,提升监测的有效性,是需要重点研究的问题。文中采用卡尔曼滤波方法进行光纤测温系统的滤波降噪,并与现有方法进行比较,由实验结果可得,采用卡尔曼滤波方法的测温系统,其工作效果具有更好的实时性和灵敏度,可对高速公路隧道中的温度异常情况进行及时有效地反馈。

Highway tunnel has the particularity of closed structure and narrow length.The environmental temperature monitoring system in the tunnel needs to ensure continuous real-time measurement without introducing additional risks.Fiber optic temperature measurement technology has the advantages of continuous real-time measurement and no power supply on site,which is very suitable for environmental temperature monitoring in highway tunnels.Therefore,reasonable processing and analysis of temperature measurement signals to improve the effectiveness of monitoring is a key issue to be studied.Therefore,Kalman filtering method is used for optical fiber temperature measuring system of filtering noise reduction,and the results are compared with the existing method.The experimental results show that the temperature measuring system using Kalman filtering method has better real-time temperature effectand sensitivity,and can provide timely and effective feedback to the abnormal temperature in the highway tunnel.