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Multiplexed FBG Monitoring System for Forecasting Coalmine Water Inrush Disaster

机译：煤矿突水灾害预测的多路FBG监测系统

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This paper presents a novel fiber-Bragg-grating- (FBG-) based system which can monitor and analyze multiple parameters such as temperature, strain, displacement, and seepage pressure simultaneously for forecasting coalmine water inrush disaster. The sensors have minimum perturbation on the strain field. And the seepage pressure sensors adopt a drawbar structure and employ a corrugated diaphragm to transmit seepage pressure to the axial strain of FBG. The pressure sensitivity is 20.20 pm/KPa, which is 6E3 times higher than that of ordinary bare FBG. The FBG sensors are all preembedded on the roof of mining area in coalmine water inrush model test. Then FBG sensing network is set up applying wavelength-division multiplexing (WDM) technology. The experiment is carried out by twelve steps, while the system acquires temperature, strain, displacement, and seepage pressure signals in real time. The results show that strain, displacement, and seepage pressure monitored by the system change significantly before water inrush occurs, and the strain changes firstly. Through signal fusion analyzed it can be concluded that the system provides a novel way to forecast water inrush disaster successfully.
机译：本文提出了一种新型的基于光纤布拉格光栅的系统，该系统可以同时监测和分析温度，应变，位移和渗水压力等多个参数，以预测煤矿突水灾害。传感器对应变场的干扰最小。渗透压力传感器采用拉杆结构，并采用波纹膜片将渗透压力传递至FBG的轴向应变。压力灵敏度为20.20 pm / KPa，是普通裸FBG的6E3倍。在煤矿突水模型测试中，FBG传感器都预埋在采矿区的屋顶上。然后应用波分复用（WDM）技术建立FBG传感网络。实验分十二步进行，而系统实时获取温度，应变，位移和渗流压力信号。结果表明，在突水发生之前，系统监测到的应变，位移和渗流压力发生了显着变化，并且应变首先发生变化。通过对信号融合的分析，可以得出结论，该系统为预测洪水灾害提供了一种新颖的方法。

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