Title:
GROUND PENETRATING RADAR AND DEEP LEARNING-BASED UNDERGROUND PIPELINE DETECTION METHOD AND SYSTEM
Document Type and Number:
WIPO Patent Application WO/2022/052790
Kind Code:
A1
Abstract:
A ground penetrating radar and deep learning-based underground pipeline detection method and system. Said method comprises: acquiring sample data of known underground pipelines by means of a ground penetrating radar, and establishing an image database according to the sample data; performing training according to the image database to obtain a YOLOv3 model, the YOLOv3 model being used for identifying hyperbolic data of the underground pipelines; detecting underground pipeline targets in a real radar image by means of the YOLOv3 model; and precisely locating the positions of pipelines by means of an RTK measurement instrument. Said method is based on a ground penetrating radar and a YOLOv3 model, and can accurately identify hyperbolic targets of pipelines in ground penetrating radar images, thereby improving the detection efficiency and reducing time costs. The present invention can be widely applied to the field of engineering non-destructive testing.
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Inventors:
LIU HAI (CN)
MENG XU (CN)
LIU CHAO (CN)
CUI JIE (CN)
MENG XU (CN)
LIU CHAO (CN)
CUI JIE (CN)
Application Number:
PCT/CN2021/113749
Publication Date:
March 17, 2022
Filing Date:
August 20, 2021
Export Citation:
Assignee:
UNIV GUANGZHOU (CN)
International Classes:
G01S13/06; G01S13/86; G01S13/88
Foreign References:
| CN112130132A | 2020-12-25 | |||
| CN109685011A | 2019-04-26 | |||
| CN110866545A | 2020-03-06 | |||
| US20120006116A1 | 2012-01-12 | |||
| FR2802303A1 | 2001-06-15 |
Other References:
YANG BISHENG, ZONG ZELIANG;CHEN CHI;SUN WENLU;MI XIAOXIN;WU WEITONG;HUANG RONGGANG: "Real Time Approach for Underground Objects Detection from Vehicle-Borne Ground Penetrating Radar", ACTA GEODAETICA ET CARTOGRAPHICA SINICA, vol. 49, no. 7, 15 July 2020 (2020-07-15), pages 874 - 882, XP055909959, ISSN: 1001-1595, DOI: 10.11947/j.AGCS.2020.20190293
WANG YIJUN, CAO PEIPEI;WANG XUESONG;YANXINGYU: "Research on Insulator Self Explosion Detection Method Based on Deep Learning", JOURNAL OF NORTHEAST DIANLI UNIVERSITY, vol. 40, no. 3, 30 June 2020 (2020-06-30), pages 33 - 40, XP055909964, ISSN: 1005-2992, DOI: 10.19718/j.issn.1005-2992.2020-03-0033-08
FENG DESHAN, YANG ZI-LONG: "Automatic Recognition of Ground Penetrating Radar Image of Tunnel Liningstructure based on Deep Learning", PROGRESS IN GEOPHYSICS, ZHONGGUO KEXUEYUAN DIZHI YU DIQIU WULI YANJIUSUO, CN, vol. 35, no. 4, 30 December 2019 (2019-12-30), CN , pages 1552 - 1556, XP055909968, ISSN: 1004-2903, DOI: 10.6038/pg2020DD0325
HU HAOBANG, FANG HONGYUAN;WANG FUMING;DONG JIAXIU: "Intelligent Recognition of Pipeline Target Based on Faster R-CNN Algorithm for Ground Penetrating Radar", URBAN GEOTECHNICAL INVESTIGATION & SURVEYING, no. 3, 30 June 2020 (2020-06-30), pages 203 - 208, XP055909971, ISSN: 1672-8262
ZHAO DI, YE SHENGBO;ZHOU BIN: "Ground Penetrating Radar Anomaly Detection based on Convolution Grad-CAM ", ELECTRONIC MEASUREMENT TECHNOLOGY, vol. 43, no. 10, 31 May 2020 (2020-05-31), pages 113 - 118, XP055909973, ISSN: 1002-7300, DOI: 10.19651/j.cnki.emt.2004094
WANG YIJUN, CAO PEIPEI;WANG XUESONG;YANXINGYU: "Research on Insulator Self Explosion Detection Method Based on Deep Learning", JOURNAL OF NORTHEAST DIANLI UNIVERSITY, vol. 40, no. 3, 30 June 2020 (2020-06-30), pages 33 - 40, XP055909964, ISSN: 1005-2992, DOI: 10.19718/j.issn.1005-2992.2020-03-0033-08
FENG DESHAN, YANG ZI-LONG: "Automatic Recognition of Ground Penetrating Radar Image of Tunnel Liningstructure based on Deep Learning", PROGRESS IN GEOPHYSICS, ZHONGGUO KEXUEYUAN DIZHI YU DIQIU WULI YANJIUSUO, CN, vol. 35, no. 4, 30 December 2019 (2019-12-30), CN , pages 1552 - 1556, XP055909968, ISSN: 1004-2903, DOI: 10.6038/pg2020DD0325
HU HAOBANG, FANG HONGYUAN;WANG FUMING;DONG JIAXIU: "Intelligent Recognition of Pipeline Target Based on Faster R-CNN Algorithm for Ground Penetrating Radar", URBAN GEOTECHNICAL INVESTIGATION & SURVEYING, no. 3, 30 June 2020 (2020-06-30), pages 203 - 208, XP055909971, ISSN: 1672-8262
ZHAO DI, YE SHENGBO;ZHOU BIN: "Ground Penetrating Radar Anomaly Detection based on Convolution Grad-CAM ", ELECTRONIC MEASUREMENT TECHNOLOGY, vol. 43, no. 10, 31 May 2020 (2020-05-31), pages 113 - 118, XP055909973, ISSN: 1002-7300, DOI: 10.19651/j.cnki.emt.2004094
Attorney, Agent or Firm:
GUANGZHOU HUAXUE INTELLECTUAL PROPERTY AGENCY CO., LTD. (CN)
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