车载探地雷达技术在地铁隧道检测中的应用

Application of Vehicular Ground Penetrating Radar Technology in Subway Tunnel DetectionCao Zhi1, 4,Gao Hongqing1,Wang Wei2,Liu Huayun3*

摘要:

车载探地雷达技术在地铁隧道中的检测得到广泛应用,对保障地铁隧道的安全性和可靠性起到重要的作用。为了对地铁隧道缺陷进行精确检测,并提升检测的效率,构建基于Yolov5模型的车载探地雷达检测系统。首先采用零时校正、去直流、背景去除和图像增益方法对信号和图像进行去噪。然后基于Yolov5目标检测模型,引入SPP-Bottleneck模块进行改进,最后构建基于Yolov5模型的车载探地雷达检测系统。结果显示,改进后的Yolov5模型在置信度相同的条件下,相较于原始模型具有更高的F1值。在实例应用中,基于Yolov5模型的车载探地雷达检测系统F1、精确度、召回率平均值分别为0.884、0.873和0.895,该模型对于隧道中的缺陷检测具有有效性。Yolov5目标检测模型的检测时间为0.3s,相较于其他三种检测模型,效率分别提升了93.75%、84.2%和50.0%,更具有实际应用价值。此次研究解决了传统车载探地雷达技术存在的问题,对地铁的运营和维护具有重要的意义。

Abstract:

Vehicle mounted ground penetrating radar technology has been widely applied in the detection of subway tunnels, playing an important role in ensuring the safety and reliability of subway tunnels. In order to accurately detect the subway tunnel defects and improve the detection efficiency, the on-mounted radar detection system based on Yolov5 model is constructed. Signals and images were first denoised using zero time correction, deDC, background removal and image gain methods. Adopting the Yolov5 object detection model and introducing the SPP-Bottleneck module for improvement, a vehicle mounted ground penetrating radar detection system based on the Yolov5 model is constructed. The results show that the improved Yolov5 model has a higher F1 value compared to the original model under the same confidence level. In practical applications, the F1, accuracy, and recall average values of the vehicle mounted ground penetrating radar detection system based on the Yolov5 model are 0.884, 0.873, and 0.895, respectively. This model is effective for defect detection in tunnels. The Yolov5 object detection model has a detection time of 0.3 seconds, and its efficiency has been improved by 93.75%, 84.2%, and 50.0% compared to the other three detection models, which has more practical application value. This study has solved the problems existing in traditional vehicle mounted ground penetrating radar technology and is of great significance for the operation and maintenance of subways.