Chinese Journal on Internet of Things ›› 2020, Vol. 4 ›› Issue (3): 106-111.doi: 10.11959/j.issn.2096-3750.2020.00173

• Topic:IoT in Intelligent Transportation • Previous Articles     Next Articles

Railway safety monitoring algorithm based on distributed optical fiber vibration sensor

Fuyang CHEN1,2(),Bin JIANG1,2,Yu SHA1   

  1. 1 College of Automation Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 211106,China
    2 Jiangsu University Key Laboratory of Internet of Things and Control Technology,Nanjing 211106,China
  • Revised:2020-05-28 Online:2020-09-30 Published:2020-09-07

Abstract:

Aiming at the monitoring problem of the human climbing behaviour existing along the railway,a railway safety detection algorithm based on distributed optical fiber vibration sensors was proposed by combining the distributed optical fiber sensing technology and signal analysis technology.The surrounding vibration was sensed and transmitted through the optical cables laid along the fence network of the railway,and then the Internet of things (IoT) connection between the railway and monitoring algorithm was built to realize the intelligent monitoring of the climbing behavior.In view of the complicated surrounding environment of the railway and more interference,the Hamming window and wavelet threshold denoising method were used to filter the signal of each frame to improve the signal-to-noise ratio of the vibration signal.In the selection of features,the power spectrum and short-time over-level rate of the signal were extracted from the time domain and frequency domain respectively as a joint feature to determine whether there was climbing or creeping behavior.Since that the climbing behavior was spatially continuous,the minimum alarm range was set to filter out alarms with a too small range,which improved the accuracy of the monitoring system.

Key words: distributed optical fiber vibration sensor, along the railway, signal processing, intrusion, Internet of things

CLC Number: 

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