Influence Factor Analysis on Detection Effect for Directly Buried Cable Based on GprMax Forward Modeling

Guowei LI , Junbo WANG , Yin ZHANG , Qi TANG , Ganyang JIAN , Yuke JI , Zhipeng HE

›› 2024, Vol. 18 ›› Issue (12) : 10 -18.

PDF
›› 2024, Vol. 18 ›› Issue (12) : 10 -18. DOI: 10.13648/j.cnki.issn1674-0629.2024.12.002
research-article

Influence Factor Analysis on Detection Effect for Directly Buried Cable Based on GprMax Forward Modeling

Author information +
History +
PDF

Abstract

Geographic location of underground cable is important information in urban construction and power operation and maintenance. Ground penetrating radar is always used in detection for directly buried cable, but the influencing factors of its detection effect for underground cable is unclear. GprMax forward modeling method is used to analyze the ground penetrating radar echo image of underground cable, including buried depth, soil dielectric constant, antenna center frequency, pipeline material and cable channel structure. Furthermore an experiment is carried out to compare the ground penetrating radar image of cable, metal and PVC pipes at 0.4 GHz and 0.9 GHz antenna center frequency. Finally a field test for underground cable is carried out. There is a distinctive hyperbola in the ground penetrating radar image. The hyperbola shape is mainly influenced by burial depth and soil dielectric constant. It is difficult to distinguish different material pipeline based on the hyperbola shape. The fine sand and cover plate around underground cable can weaken the echo signal, and lead to hyperbola layering. In order to obtain good detection effect, it needs to detect the whole cable channel instead of the cable with 0.4 GHz center frequency antenna.

Keywords

directly buried cable / echo image / FDTD / ground penetrating radar

Cite this article

Download citation ▾
Guowei LI,Junbo WANG,Yin ZHANG,Qi TANG,Ganyang JIAN,Yuke JI,Zhipeng HE. Influence Factor Analysis on Detection Effect for Directly Buried Cable Based on GprMax Forward Modeling. 2024, 18(12): 10-18 DOI:10.13648/j.cnki.issn1674-0629.2024.12.002

登录浏览全文

4963

注册一个新账户 忘记密码

References

Funding

the National Key Research and Development Program of China(2022YFE0205100)

the Science and Technology Project of China Southern Power Grid Co., Ltd(GDKJXM20220265)

PDF

6

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/