Research on underground pipeline spatial positioning method based on multi-offset ground penetrating radar

被引:1
|
作者
Zhang, Guixin [1 ]
Cui, Fan [1 ,2 ]
Zhang, Xiaoling [1 ]
Cheng, Qi [1 ]
Wang, Ran [1 ]
Zhang, Mengli [3 ]
机构
[1] China Univ Min & Technol Beijing, Sch Geosci & Surveying Engn, Beijing 100083, Peoples R China
[2] China Univ Min & Technol Being, State Key Lab Coal Resources & Safe Min, Beijing 100083, Peoples R China
[3] Natl Adm Coal Geol, Gen Prospecting Inst China, Beijing 100039, Peoples R China
基金
中国国家自然科学基金; 国家重点研发计划;
关键词
ground penetrating radar; velocity analysis; pipeline positioning; multiple stacks; GPR;
D O I
10.1088/1361-6501/ad9e15
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Accurate prediction of the spatial location of underground pipelines is crucial to ensure the safe operation of pipelines. However, the traditional ground penetrating radar (GPR) relies too much on the image data quality and the detection personnel's experience. It can only estimate the approximate location of the underground pipeline. The acquisition of electromagnetic wave velocity is an essential part of accurately interpreting the spatial location of underground pipelines. Therefore, this paper's research proposes a data processing flow that can be applied to multi-offset GPR, including multiple stacks of the same target and interactive velocity spectrum. The accuracy and practicability of the method are verified by numerical simulation and field tests. The research shows that multiple stacks can effectively suppress noise and enhance the signal characteristics of deep targets. In the simulated data, traditional GPR distance errors for layered structures and pipelines are 0.06 m and 0.13 m. In comparison, the distance error of the method proposed in this paper is 0.019 m in layered structures, which is a reduction of 5.86% in relative error. The pipeline distance error is 0.029 m, and the relative error is reduced by 10.1%. The distance errors of traditional GPR and multi-offset GPR for pipelines in field tests were 0.15 m and 0.093 m, respectively, with a reduction of 8.77% in the relative error.
引用
收藏
页数:15
相关论文
共 50 条
  • [41] Research on the improvement method of imbalance of ground penetrating radar image data
    Cao, Ligang
    Liu, Lei
    Lu, Congde
    Chen, Ruimin
    SCIENTIFIC REPORTS, 2025, 15 (01):
  • [42] On Ground Penetrating Radar Imaging Method Based on Compressed Sensing in Multi-target Environment
    Wang, Guangjun
    Ma, Chengyong
    Jiang, Jianjin
    PROCEEDINGS OF THE 38TH CHINESE CONTROL CONFERENCE (CCC), 2019, : 3332 - 3336
  • [43] Ground Penetrating Radar Imaging based on FDTD Migration Method
    Qin, Yao
    Wang, Qifu
    MECHATRONICS AND INTELLIGENT MATERIALS II, PTS 1-6, 2012, 490-495 : 1261 - +
  • [44] Research on reinforcement corrosion detection method based on the numerical simulation of ground-penetrating radar
    Hong, Shuxian
    Mo, Guanjin
    Song, Shenyou
    Li, Daqian
    Huang, Zuming
    Hou, Dongshuai
    Chen, Huanyong
    Mao, Xingquan
    Lou, Xingyu
    Dong, Biqin
    JOURNAL OF BUILDING ENGINEERING, 2024, 85
  • [45] A Multi-Level Robust Positioning Method for Three-Dimensional Ground Penetrating Radar (3D GPR) Road Underground Imaging in Dense Urban Areas
    Zhang, Ju
    Hu, Qingwu
    Zhou, Yemei
    Zhao, Pengcheng
    Duan, Xuzhe
    REMOTE SENSING, 2024, 16 (09)
  • [46] Defects identification and location of underground space for ground penetrating radar based on deep learning
    Hu, Haobang
    Fang, Hongyuan
    Wang, Niannian
    Ma, Duo
    Dong, Jiaxiu
    Li, Bin
    Di, Danyang
    Zheng, Hongbiao
    Wu, Jiang
    TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY, 2023, 140
  • [47] A Study of Automatic Recognition and Localization of Pipeline for Ground Penetrating Radar Based on Deep Learning
    Hu, Haobang
    Fang, Hongyuan
    Wang, Niannian
    Liu, Hai
    Lei, Jianwei
    Ma, Duo
    Dong, Jiaxiu
    IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2022, 19
  • [48] Non-Destruction Method for Detecting Corroded Underground Pipe Using Ground Penetrating Radar
    Shokri, Nurhazimah Husna
    Amin, Zulkarnaini Mat
    Seli, Vanessa Ak
    10TH IGRSM INTERNATIONAL CONFERENCE AND EXHIBITION ON GEOSPATIAL & REMOTE SENSING, 2020, 540
  • [49] Ground-penetrating radar for soil and underground pipelines using the forward modeling simulation method
    Yang, Hong Wei
    Yang, Ze Kun
    Pei, Yu Kun
    OPTIK, 2014, 125 (23): : 7075 - 7079
  • [50] Spatial positioning method based on range-only measurement of multi-station radar
    Pan, Jianghuai
    HELIYON, 2024, 10 (15)