Hyperbolic Feature Detection and Radius Calculation of Underground Pipeline

被引：0

作者：

Luo, Xue ^{[1
]}

He, Tao ^{[1
]}

Wen, Lijun ^{[1
]}

Li, Wei ^{[2
]}

Tang, Lingyun ^{[3
]}

Cai, Zhengjie ^{[3
]}

机构：

[1] Guizhou Power Grid Co Ltd, Guiyang Power Supply Bur, South Branch, Guiyang, Guizhou, Peoples R China

[2] Chinese Acad Sci, Nantong Photoelect Engn Ctr, Nantong, Peoples R China

[3] HYlight Technol Co Ltd, Shanghai, Peoples R China

来源：

PROCEEDINGS OF 2018 IEEE 3RD ADVANCED INFORMATION TECHNOLOGY, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (IAEAC 2018) | 2018年

关键词：

Electromagnetic wave; hyperbolic auto-detection; adaptive threshold; least-squares method; finite difference time-domain method;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A method of automatic recognition and extraction of echo image of underground pipeline is provided. In this method, the edges of hyperbolic features are extracted by adaptive thresholding method, and the least squares fitting method is applied to the lower edge feature points to obtain the hyperbolic curve fitting formula. Finally, by calculating hyperbolic wave velocity and fitting hyperbolic formulas, we get the information of the location and radius of underground pipeline. Based on gprMax software with finite difference time domain method, the underground pipelines with different radii are simulated to obtain the results of forward image. The proposed method is used to obtain the location and radius information of underground pipeline. The results show that the proposed method has high precision for the horizontal position and depth measurement of underground pipelines with different radii. And the method has high accuracy and robustness.

引用

页码：1949 / 1954

页数：6

共 50 条

[1] SYSTEM FOR CALCULATION OF THE RADIUS OF PIPELINE CURVATURE
MIROSHNICHENKO, BI
LARIONOV, BN
KOROTKOV, VP
KIRKIN, VS
NEFTYANOE KHOZYAISTVO, 1988, (11): : 45 - 46
[2] A Modular Method for GPR Hyperbolic Feature Detection and Quantitative Parameter Inversion of Underground Pipelines
Zhu, Chengke
Ye, Hongxia
REMOTE SENSING, 2023, 15 (08)
[3] Depth and Radius Joint Estimation for Underground Pipeline Using GPR
Xu, Qimin
Wang, Zuoliang
Li, Xu
IEEE SENSORS JOURNAL, 2023, 23 (13) : 14628 - 14639
[4] Prediction Method of Underground Pipeline Based on Hyperbolic Asymptote of OPR Image
Yang, Feng
Qiao, Xu
Zhang, Yuanyuan
Xu, Xianlei
PROCEEDINGS OF THE 2014 15TH INTERNATIONAL CONFERENCE ON GROUND PENETRATING RADAR (GPR 2014), 2014, : 674 - 678
[5] Detection of underground cavity by inverse calculation
Suh, BS
Sohn, KI
Kwon, BD
Jung, HK
ENVIRONMENTAL AND SAFETY CONCERNS IN UNDERGROUND CONSTRUCTION, VOLS, 1 AND 2, 1997, : 863 - 867
[6] Detection of Underground Pipeline Based on Golay Waveform Design
Dai, Jingjing
Xu, Dazhuan
GREEN ENERGY AND SUSTAINABLE DEVELOPMENT I, 2017, 1864
[7] Models of Calculation of Heat Losses in the Course of Paraffinization of Underground Pipeline.
Furman, A.V.
Dyachuk, R.P.
Izvestia vyssih ucebnyh zavedenij. Neft i gaz, 1980, (10): : 71 - 76
[8] FLAW DETECTION AND RESISTANCE MEASUREMENT OF UNDERGROUND PIPELINE COATINGS.
Takiguchi, Shuichiro
Hachisu, Yoshio
Ikeda, Shintaro
Seino, Kiyomi
Boshoku Gijutsu/Corrosion Engineering, 1973, 22 (09): : 383 - 392
[9] Detection Method of Cracks by Using Magnetic Fields in Underground Pipeline
Kim, Hui Min
Yoo, Hui Ryong
Rho, Yong Woo
Park, Gwan Soo
2013 10TH INTERNATIONAL CONFERENCE ON UBIQUITOUS ROBOTS AND AMBIENT INTELLIGENCE (URAI), 2013, : 734 - 737
[10] Flaw detection of underground pipeline using electrical potential method
Kojima, Fumio
INTERNATIONAL JOURNAL OF APPLIED ELECTROMAGNETICS AND MECHANICS, 2008, 27 (03) : 177 - 187

← 1 2 3 4 5 →