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An anti-noise ϕ -OTDR based distributed acoustic sensing system for high-speed railway intrusion detection
Laser Physics ( IF 1.2 ) Pub Date : 2020-06-29 , DOI: 10.1088/1555-6611/ab9119
Zhongqi Li 1 , Jianwei Zhang 1 , Maoning Wang 1, 2 , Jinchuan Chai 3 , Yu Wu 4 , Fei Peng 2
Affiliation  

We present an anti-noise ϕ -optical time-domain reflectometer-based distributed acoustic sensing system that can effectively differentiate noise and interference for high-speed railway intrusion detection. A distributed acoustic sensing interrogator unit, based on digital heterodyne detection, was deployed in a real field railway station and three types of intrusion signals were collected, including wall climbing, wall breaking, and barbed wire crossing. Sensing signals were analyzed and identified by a comprehensive deep model which consisted of a temporal relation extraction module and a spatial feature encoding module. A novel hierarchical structure of the convolutional long short-term memory network was designed for temporal pattern analysis and spatial features were extracted by a convolution neural network. To accelerate computation, signals with lower energy were filtered out and the combined spatial-temporal features were used for classification. The experiment on ...

中文翻译:

基于抗噪ϕ -OTDR的分布式声波传感系统,用于高速铁路入侵检测

我们提出了一种基于抗噪ϕ光学时域反射仪的分布式声感测系统,该系统可以有效区分噪声和干扰,以进行高速铁路入侵检测。一个基于数字外差检测的分布式声学传感询问器单元被部署在一个实际的火车站中,并收集了三种类型的入侵信号,包括爬墙,破壁和铁丝网穿越。通过一个由时间关系提取模块和空间特征编码模块组成的综合深度模型对传感信号进行分析和识别。设计了一种新颖的卷积长短期记忆网络分层结构用于时间模式分析,并通过卷积神经网络提取了空间特征。为了加速计算,具有较低能量的信号被滤除,并将组合的时空特征用于分类。在...上的实验
更新日期:2020-06-30
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