Perimeter Monitoring and Early Warning Technology for Buried Pipeline Based on Vibration Fiber Optic

被引：0
|
作者：
Liu Z. [1 ]
Li S. [1 ]
Zhang Y. [1 ]
机构：
[1] College of Civil Engineering, Tongji University, Shanghai
来源：
Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis | 2022年 / 42卷 / 03期
关键词：
Buried pipe; Intrusion; Phase-sensitive optical time-domain reflectometer (φ-OTDR); Random forest; Spatiotemporal coupling; Vibration monitoring system;
D O I：
10.16450/j.cnki.issn.1004-6801.2022.03.026
中图分类号：
学科分类号：
摘要：
The detection of third-party activities near pipes based on vibration signals can effectively enhance pipeline safety. In the framework of "data collection-sample segmentation-feature extraction-recognition model training-recognition strategy", a random forest pipeline perimeter monitoring system by vibration optical fiber is proposed. The vibration signals of pickaxe, spade, hammer and electric hammer are collected by 5.35 km φ-OTDR optical fiber, and the 85 h environmental signals are also collected for comparison. The methods of sample segmentation and feature extraction are established to train a random forest model. A strategy of space-time matrix is proposed for correcting the model result, which will reduce the false alarm by 99.59%. In the test, the recognition rate of the perimeter monitoring system is 94.87%, while the false alarm rate is only 0.013 9%, which indicates that the system performs well under common urban environmental vibrations.
引用
收藏
页码：593 / 599
页数：6
相关论文
共 23 条
  • [1] 2017 Hazmat summary by mode of transportation/cause
  • [2] 10th report of the European gas pipeline incident data group (period 1970-2016), pp. 25-26, (2018)
  • [3] MUHLBAUER W K., Pipeline risk management manual, pp. 43-60, (2004)
  • [4] BURKHARDT G L, CROUCH A E., Realtime monitoring of pipelines for third-party contact, pp. 1-6, (2004)
  • [5] GUO Baoqing, WANG Ning, Pedestrian intruding railway clearance classification algorithm based on improved deep convolutional network, Optics and Precision Engineering, 26, 2, pp. 3040-3049, (2018)
  • [6] ZHU Y, LEI Z, ZHENG W, Et al., Research on substation perimeter isolation based on phased array radar and multi-video fusion technology, Journal of Physics: Conference Series, 1187, 2, (2019)
  • [7] HAUSAMANN D, ZIRNIG W, SCHREIER G, Et al., Monitoring of gas pipelines-a civil UAV application, Aircraft Engineering and Aerospace Technology, 77, 5, pp. 352-360, (2005)
  • [8] LIU P, CHEN A Y, HUANG Y N, Et al., A review of rotorcraft unmanned aerial vehicle (UAV) developments and applications in civil engineering, Smart Structures and Systems, 13, 6, pp. 1065-1094, (2014)
  • [9] WAN C, MITA A., Pipeline monitoring using acoustic principal component analysis recognition with the Mel scale, Smart Materials and Structures, 18, 5, (2009)
  • [10] LIU Z, LI S., A sound monitoring system for prevention of underground pipeline damage caused by construction, Automation in Construction, 113, (2020)
123