分布式光纤测温系统在煤矿火灾监测中的应用

Application of Distributed Optical Fiber Temperature Measurement System in Coal Mine Fire Monitoring System

针对煤矿安全存在潜在的火灾问题,文章将优化的分布式光纤测温系统应用于煤矿火灾监测,同时,提出了一种命名为RLN-ELAM的新颖算法用于检测并消除瑞利噪声对系统测量精度的影响,并有效提高拉曼分布式光纤系统的测量精度。实验结果表明,利用此算法后,系统的温度分辨率、空间分辨率均有所提高,测量误差从7%降低到不足2%。在实验室进行的模拟实验中,对温度进行实际测量,结果表明,该煤矿火灾监测系统能够提供详细的温度分布情况并能够及时报警,使工作人员随时掌握煤矿温度分布情况,及时准确地找到火灾发生区。

In view of the potential fire problems of coal safety, the paper attemps to apply the optimization of distributed optical fiber temperature measturement system to coal mine fire monitoring. And it proposes a novel algorithm called RLN-ELAM to detect and elimate the influence of Rayleigh noise and improve the accuracy of the system at the same time. The experimental result shows that, the system temperature resolution and space resolution can be improved and the measurement error is reduced from 7% to less than 2% by using this design scheme and algorithm. Finally, the author put the algorithm into the actual temperature measurement, the coal mine fire monitoring system is able to provide detailed temperature distribution, and it is easy to master the coal temperature distribution and find the fire zones timely and accurately.