Xin Liping, Li Zhengying, Gui Xin, Fu Xuelei, Fan Minlang, Wang Jiaqi, Wang Honghai
Opt Express. 2020 Mar 2;28(5):6794-6805. doi: 10.1364/OE.387317.
A scheme is proposed for the identification of surface intrusion events, from signals detected by an ultra-weak fiber Bragg grating array in a subway tunnel. The spectral subtraction and the root mean square of the power spectral density are combined to extract event signals. The local characteristics-scale decomposition and the multi-scale permutation entropy are employed subsequently for feature extraction, which can improve the event recognition rate from the perspective of multi-scale analysis. Experimental demonstration verifies that the proposed scheme can identify four common events. Among the events, the discrete pulse construction and the continuous pulse construction on the ground surface are intrusion events, the subway train traveling in the tunnel and the lorry passing on the ground surface are non-intrusion events. The average recognition rate of 96.57% is achieved, which can satisfy actual application requirements.
提出了一种从地铁隧道中超弱光纤布拉格光栅阵列检测到的信号中识别表面入侵事件的方案。结合谱减法和功率谱密度的均方根来提取事件信号。随后采用局部特征尺度分解和多尺度排列熵进行特征提取，从多尺度分析的角度提高事件识别率。实验验证表明，该方案能够识别四种常见事件。其中，地表离散脉冲结构和连续脉冲结构属于入侵事件，隧道内地铁列车行驶和地表货车通行属于非入侵事件。实现了96.57%的平均识别率，能够满足实际应用需求。
