| 基于探地雷达的工作面异常体精准探测技术 |
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| 引用本文： | 王诚龙,刘万里,张学亮,马修泽,徐健斌,李港.基于探地雷达的工作面异常体精准探测技术[J].岩土力学,2022,43(11):3198-3208. |
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| 作者姓名： | 王诚龙 刘万里 张学亮 马修泽 徐健斌 李港 |
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| 作者单位： | 1. 中国矿业大学 机电工程学院，江苏 徐州 221116；2. 北京天玛智控科技股份有限公司，北京 101399 |
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| 基金项目： | 国家重点研发计划资助项目（No. 2018YFC0604503） |
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| 摘 要： | 在井下采煤工作面回采进程中，及时掌握工作面煤层前方的异常情况，是煤矿安全、高效生产的保障。探地雷达是一种高效、无损伤探测方法，被广泛应用在矿井。针对探地雷达探测异常体响应的图像解译精度与成像精度取得了显著的成果，而如何用探地雷达去圈定地质异常体位置与空间分布范围是研究的热点问题。提出一种多剖面与线性插值融合的采煤工作面内部异常体精准探测新方法。主要研究思路：首先，通过时域有限差分算法（finite-difference time-domain, 简称 FDTD）对构建煤层空洞、断层的三维模型进行正演模拟，通过克希霍夫偏移处理大致圈定异常体的响应范围；其次，获取存在异常体响应的单道波数据的多剖面图，通过线性插值确定异常体的精确位置坐标与具体尺寸，引入面积评价标准来验证探测结果的相似度；最后使用 LTD-2600 型的探地雷达与 900 MHz的屏蔽天线对构建的空洞物理模型进行现场试验，将获得空洞计算剖面与实际空洞尺寸进行对比验证；并在斜沟煤矿 18201工作面开展应用，验证方法的有效性。实践证明，应用此方法对雷达剖面图进行分析，分析结果表明实测空间位置与实际空间位置的误差均在10%以下，可相对准确圈定工作面异常体的具体尺寸与空间分布范围。
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| 关 键 词： | 采煤工作面 探地雷达 超前探测 多剖面分析 Kirchhoff偏移 |
| 收稿时间： | 2022-02-21 |
| 修稿时间： | 2022-07-13 |
Accurate detection technology of abnormal body in front of working
face based on ground penetrating radar |
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| WANG Cheng-long,LIU Wan-li,ZHANG Xue-liang,MA Xiu-ze,XU Jian-bin,LI Gang.Accurate detection technology of abnormal body in front of working
face based on ground penetrating radar[J].Rock and Soil Mechanics,2022,43(11):3198-3208. |
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| Authors: | WANG Cheng-long LIU Wan-li ZHANG Xue-liang MA Xiu-ze XU Jian-bin LI Gang |
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| Institution: | 1. School of Mechanical and Electrical Engineering, China University of Mining and Technology, Xuzhou, Jiangsu 221116, China;
2. Beijing Tianma Intelligent Control Technology Co., Ltd., Beijing 101399, China |
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| Abstract: | In the process of mining in underground coal face, it is the guarantee of safe and efficient production of coal mine to grasp the abnormal situation in front of coal face in time. Ground penetrating radar (GPR) is an efficient and non-destructive detection method, which is widely used in mines. Significant achievements have been made in the image interpretation and imaging accuracy of GPR for detecting abnormal body response, but how to delineate the location and spatial distribution of geological abnormal body with GPR is a hot research issue. In this paper, a new method, which combines multiple sections and linear interpolation, is developed for accurate detection of abnormal body in coal mining face. The main research ideas are as follows. Firstly, forward simulation of 3D model of coal seam cavity and fault is carried out by using finite difference time domain algorithm (FDTD), and the response range of abnormal body is roughly delineated by Kirchhoff migration. Secondly, the multi-section view of single channel wave data with abnormal body response was obtained, and the exact position coordinates and specific dimensions of abnormal body were determined by linear interpolation, and the area evaluation criterion was introduced to verify the similarity of detection results. Finally, a GPR of LTD-2600 and a 900 MHz shielded antenna were used to conduct field experiments on the constructed physical cavity model, and the calculated cavity profile was compared with the actual cavity size for verification. The proposed method was applied in 18201 face of Xiegou coal mine to verify its validity. It is proved by practice that the error between the measured and actual spatial positions is less than 10%, and the specific size and spatial distribution range of abnormal bodies can be delineated relatively accurately. |
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| Keywords: | coal mining face ground penetrating radar advance detection multi-section analysis Kirchhoff migration |
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