The seismic ahead-prospecting method is useful to detect anomalous zones in front of the tunnel face. However, most existing seismic detection method is designed for drilling and blasting tunnel. The detection method should be improved to satisfy the rapid tunneling of Tunnel Boring Machines (TBMs). This study focuses on reducing the time spent on seismic data processing and result analysis. Therefore, to reduce the data processing time, an automatic initial model establishment method based on surrounding rock grade is proposed. To reduce the time spent on result analysis and avoid subjective judgment, a modified k-means++ method is adopted to interpret the detecting results and extracting anomalous zones. The efficacy of the developed method is demonstrated by field tests. The fractured zones such as cavity collapse and fissure are successfully predicted and identified.

中文翻译：

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地震超前探测方法的快速处理与数据自动分析方法-以云南为例

地震超前勘探方法可用于检测隧道面板前方的异常区域。然而，大多数现有的地震检测方法是为钻探和爆破隧道设计的。应改进检测方法，以满足隧道掘进机（TBM）的快速掘进。这项研究的重点是减少花费在地震数据处理和结果分析上的时间。因此，为减少数据处理时间，提出了一种基于围岩坡度的自动初始模型建立方法。为了减少花在结果分析上的时间并避免主观判断，我们修改了k采用-means ++方法解释检测结果并提取异常区域。通过现场测试证明了该方法的有效性。成功地预测和识别了诸如空腔塌陷和裂缝之类的破裂区域。