矿井定向钻孔雷达煤厚识别及成像精度研究

Analysis of coal thickness identification and imaging accuracy of mine directional borehole radar

  • 摘要: 我国煤矿地质结构复杂,赋存煤层厚度及其走向的超前精准探测对煤矿安全智能开采具有重要意义。常规地球物理超前探测方法对煤岩结构的探测误差随超前距离的增加而不断扩大,而多数孔中物探设备受限于定向能力的不足,在煤厚识别中难以发挥有效作用。针对上述难题,研发了一种矿井定向钻孔雷达,通过定向雷达天线、高精度脉冲宽度调制(Pulse Width Modulation,PWM)电机控速与角度方位感知系统,并配套定位解算算法,实现煤层厚度的定向识别。开展定向钻孔雷达煤厚识别及成像精度分析研究,旨在为定向钻孔雷达现场作业以及随钻探测装备的研发提供指导。首先,系统阐述了定向钻孔雷达工作原理及煤厚探测方法,构建了定向钻孔雷达天线与目标体空间关系模型,实现目标探测方位的精准感知,方位角度感知误差最小为1°(电机转速低于3.71 r/min);其次,在明晰矿井定向钻孔雷达中PWM占空比与电机转速关系基础上,设计不同PWM占空比下探测试验,分析不同电机转速对采集精度的影响,得到数据采样精度误差小于2%时,最优电机转速为7.84 r/min;针对矿井常规钻机推进速度为0.01~0.30 m/s,设计探测速度在0.05~0.40 m/s范围内的不同推进速度系列探测试验,详细分析并阐明了探测速度对采样精度,以及采集精度对成像精度的影响规律。试验结果表明,针对现有巷道钻机作业工况,当定向钻孔雷达采集转速为7.84 r/min、探测推进速度为0.05 m/s时,角度采集精度误差率最小为2.8%,采集定位精度为97.2%,目标体识别分辨率可达0.256 m。矿井实测结果表明,定向钻孔雷达可探测到煤岩界面与煤层深度及其方位信息,煤厚探测精度误差为3.15%。研究成果为矿井地质透明化以及煤矿智能化建设提供有效的技术支撑。

     

    Abstract: The geological structure of coal mines in China is complex, and precise detection of coal seam thickness and orientation is crucial for intelligent and safe mining operations. Conventional geophysical ahead-detection methods suffer from continuously expanding detection errors in coal-rock structure identification with increasing advance distance. Moreover, most borehole geophysical exploration equipment exhibits limited effectiveness in coal thickness identification due to inadequate directional capability. To address these challenges, a mine directional borehole radar is developed. Directional identification of coal seam thickness is realized through the integration of a directional radar antenna, a high-precision PWM motor speed control system, an angular and directional perception system, and positioning and calculation algorithms. A spatial relationship model between the directional borehole radar antenna and the target body is constructed, enabling precise perception of the target detection direction. The azimuth angle perception error is minimized to 1° (when motor speed is lower than 3.71 r/min). A study on coal thickness identification using directional borehole radar and imaging accuracy analysis is conducted to provide guidance for on-site radar operation and development of in-situ drilling detection equipment. Firstly, the working principle of the directional borehole radar and coal thickness detection method are systematically elaborated. Secondly, following clarification of the relationship between PWM duty cycle and motor speed, experiments with different PWM duty cycles are designed to study and analyze the impact of motor speed on acquisition accuracy. It is found that when data sampling accuracy error is within 2%, the optimal motor speed is 7.84 r/min. In view of the current situation where advancement speed of conventional mining drilling machines is approximately 0.01–0.30 m/s, a series of detection experiments with different advancement speeds ranging from 0.05–0.40 m/s are designed. The influence laws of detection speed on sampling accuracy and of collection accuracy on imaging accuracy are analyzed and clarified in detail. The experimental results show that under current tunnel drilling machine working conditions in mines, when the directional borehole radar acquisition speed is 7.84 r/min and detection advance speed is 0.05 m/s, the angle acquisition accuracy error rate is minimized to 2.8%, acquisition positioning accuracy of 97.2% is obtained, and target body identification resolution of 0.256 m is achieved. In mine measurement results, the coal-rock interface and depth and orientation information of the coal seam are detected by the directional borehole radar, with a coal thickness detection accuracy error of 3.15%. Effective technical support for mine geological transparency and intelligent construction of coal mines is provided through these research results.

     

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