分布式光纤火灾监测系统的关键算法研究

Research on Key Algorithms of Distributed Optical Fiber Fire Monitoring System

分布式光纤火灾监测系统主要依靠监测敷设于温度监测现场感温光缆中的光纤散射光信号实现对沿线温度的监测,但光纤散射光信号强度十分微弱,因此对微弱信号的采集滤波处理和温度解调处理尤为关键。结合温度解调算法、空间定位算法和累加迭代平均滤波算法,通过Matlab软件对系统温度空间分布特征以及滤波算法进行仿真分析,仿真结果表明系统能够实现温度的在线实时监测,有效地提升信噪比,增加系统温度测量一致性和稳定性。

Distributed optical fiber fire monitoring system mainly relies on monitoring the scattered light signal of optical fiber laid in the temperature monitoring field to monitor the temperature along the line. However, the intensity of the scattered light signal is very weak, so the acquisition, filtering and temperature demodulation of the weak signal are particularly critical. Combining temperature demodulation algorithm, space localization algorithm and cumulative iterative average filtering algorithm, the system temperature spatial distribution characteristics and filtering algorithm are simulated and analyzed by the software of Matlab. The simulation results show that the system can realize on-line real-time temperature monitoring, effectively improve the signal-noise ratio, and increase the consistency and stability of temperature measurement.