Characteristic analysis of GPR forward simulation of pipeline leakage abnormal based on FDTD
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摘要: 基于管道渗漏异常区与周边土壤存在明显介电差异特点，采用了一种分辨率高、抗干扰能力强、高效、无损的探地雷达（Ground Penetrating Radar，GPR）检测成像技术，用以解决地下管道渗漏异常区的准确识别问题。为了提高对地下管道渗漏雷达图像特征的认识，采用时域有限差分法（Finite Difference Time Domain，FDTD）模拟了不同材质管道、不同填充物质、不同渗漏位置和范围下的 GPR 电磁波响应特征，并应用偏移成像技术将分散于目标体两侧的能量汇聚，使反射波正确归位，有效提高探地雷达剖面横向分辨率，最终确立地下管道渗漏正演模拟特征图谱，为实际探地雷达探测图像解释提供理论基础。实例管道探测结果表明，探地雷达法可准确识别有效探测深度下管道两侧一定范围的渗漏异常，且异常特征清晰、显著。模拟结果可为地下管道渗漏探测识别提供参考。Abstract: Based on the obvious electrical difference between the abnormal area of pipeline leakage and the surrounding soil, a high-resolution, strong anti-jamming, high-efficiency, and non-destructive Ground Penetrating Radar (GPR) detection and imaging technology was proposed to solve the problem of accurate identification of abnormal seepage area of underground pipeline. To improve the recognition of radar image features of underground pipeline leakage, the Finite Difference Time Domain (FDTD) method was used to simulate the GPR electromagnetic wave response characteristics of different material pipelines, different filling, different leakage locations, and ranges. The migration imaging technique was introduced to concentrate the energy scattered on both sides of the object, thereby correctly repositioning the reflected waves. This approach effectively enhances the lateral resolution of GPR profiles. A characteristic spectrum for forward modeling of underground pipeline leaks was established and it provides a theoretical foundation for the interpretation of actual GPR detection images. The results show that the GPR method can accurately identify the leakage anomaly with clear and obvious features at the effective detection depth. The research results can provide references for the detection and identification of underground pipeline leakage.
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Key words:
- pipeline leakage anomaly /
- GPR /
- FDTD /
- the migration imaging technique /
- feature gallery
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