随掘连续超前探测异常体辨识成像研究

本文提出了一种新型随掘连续超前探测异常体辨识成像方法,有效解决了固定场源超前探测单次成像准确度差的问 题,为巷道掘进与超前探测并行作业提供有力支撑。 首先,构建了随掘连续超前探测异常体辨识成像理论模型;然后,对异常体 辨识成像效果及成像准确度提高方法进行研究,在可有效辨识前方异常几何体形态的基础上,通过扩大随掘里程、加快电位采 集频率和增加电位测点数量,将电导率均方误差分别从 0. 273 降至 0. 156、0. 173 降至 0. 153、0. 183 降至 0. 167,成像准确度逐渐 增高;最后,分析了随掘场源前方不同类型、形状异常体成像效果,构建泥槽实验系统并进行了成像效果对比实验,验证了本方 法的有效性。

Research on anomaly identification imaging with continuous advanced detection of excavation

This article proposes a new method for continuous advanced detection and imaging of abnormal body during excavation. The problem of poor accuracy in single imaging with fixed field sources is effectively addressed. It provides strong support for parallel operation of tunnel excavation and forward detection. Firstly, a theoretical model for continuous advanced detection and imaging of abnormal body during excavation is formulated. Then, the imaging effect and accuracy improvement methods for abnormal body identification are studied. On the basis of effectively identifying the geometric shape of the abnormal body ahead, the mean square error of conductivity is reduced from 0. 273 to 0. 156 by increasing the excavation mileage, from 0. 173 to 0. 153 by increasing the potential sampling frequency, and from 0. 183 to 0. 167 by increasing the number of potential measurement points. The imaging accuracy is gradually increased. Finally, the imaging effect of anomalies with different types and shapes in front of the field source during excavation is analyzed. A mud trough experimental system is established, and comparative experiments on imaging effects are carried out. The effectiveness of this method is evaluated.