计算机科学
路面
振动
图像处理
实时计算
计算机视觉
工程类
图像(数学)
土木工程
量子力学
物理
摘要
If road diseases are not dealt with in a timely manner, they will affect traffic safety, so monitoring is necessary. The existing manual on-site inspection methods can no longer meet the current requirements, while road disease detection systems based on image processing face the problem of large data processing volume, dim lighting inside tunnels, and increased difficulty in image analysis. This article is based on a distributed fiber optic sensing system to construct a road vibration detection network, collect and analyze the vibration generated by vehicles rolling over the road surface, evaluate whether there are abnormalities in the vehicle's driving vibration signals, and locate the abnormal positions. It can be used as an auxiliary judgment and detection method for road diseases in traffic tunnels. After simulation testing, the method proposed in this article has a recognition rate of ≥ 86% for road diseases and a positioning deviation of ≤ 10m. It can timely detect abnormal situations of road diseases and provide reliable reference for the safety management of traffic tunnels during operation.
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