具有光学动态差分补偿和视觉定位技术的拉曼分布式温度传感器用于隧道火灾探测
Raman Distributed Temperature Sensor with Optical Dynamic Difference Compensation and Visual Localization Technology for Tunnel Fire Detection.
作者信息
Yan Baoqiang, Li Jian, Zhang Mingjiang, Zhang Jianzhong, Qiao Lijun, Wang Tao
机构信息
College of Physics & Optoelectronics, Taiyuan University of Technology, Taiyuan, Shanxi 030024, China.
Key Laboratory of Advcanced Transducers and Intelligent Control System, Ministry of Education and Shanxi Province, Taiyuan, Shanxi 030024, China.
出版信息
Sensors (Basel). 2019 May 20;19(10):2320. doi: 10.3390/s19102320.
The field of tunnel fire detection requires a Raman distributed temperature sensor (RDTS) with high-accuracy and visual localization. A novel temperature demodulation method to improve the temperature measurement accuracy of the RDTS systems is presented. This method is based on the optical dynamic difference compensation algorithm, which can eliminate the optical power fluctuation. In addition, the visual localization technology is presented by using the longitudinal lining model (LLM) of a three-dimensional (3D) temperature display, which enhances the engineering application of RDTS in tunnel fire detection. Experimental results indicate that the temperature measurement accuracy is optimized from 7.0 °C to 1.9 °C at the sensing distance of 18.27 km by using the presented method. We provide a solution for temperature field monitoring as well as fire visual localization of the tunnel through RDTS systems.
隧道火灾探测领域需要一种具有高精度和可视化定位功能的拉曼分布式温度传感器（RDTS）。提出了一种提高RDTS系统温度测量精度的新型温度解调方法。该方法基于光动态差分补偿算法，可消除光功率波动。此外，通过使用三维（3D）温度显示的纵向衬砌模型（LLM）提出了可视化定位技术，增强了RDTS在隧道火灾探测中的工程应用。实验结果表明，采用该方法在18.27 km的传感距离下，温度测量精度从7.0℃优化到了1.9℃。我们通过RDTS系统为隧道的温度场监测以及火灾可视化定位提供了一种解决方案。
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