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Automatic deterioration monitoring system for tunnel wall using fusion sensors on a train - relation between train velocity and cross-correlation coefficient of interpolated crack images

机译:列车上融合传感器的隧道墙自动劣化监测系统-列车速度与内插裂纹图像互相关系数之间的关系

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Recently, accidents of concrete-wall falling at a railway tunnel often occurred. Currently, workers perform regular inspection. The inspection has problems of human error, working cost and time. So, the purpose of this research is to develop an automatic deterioration monitoring system for tunnel inner wall using fusion sensors on a train. In this research, we proposed the new automatic deterioration monitoring system which can create the database for daily deteriorate condition of the wall, estimate the degree of deterioration by comparing these data, and suggest the maintenance time. In this paper, we investigate mainly the relation between the train velocity and the cross-correlation coefficient of the interpolated crack images.
机译:最近,经常发生混凝土墙在铁路隧道上掉落的事故。目前,工人进行定期检查。检查存在人为错误,工作成本和时间问题。因此,本研究的目的是使用火车上的融合传感器开发隧道内壁的自动劣化监测系统。在这项研究中,我们提出了一种新的自动劣化监控系统,该系统可以创建墙的每日劣化状况数据库,通过比较这些数据来估算劣化程度,并建议维护时间。在本文中,我们主要研究列车速度与内插裂纹图像的互相关系数之间的关系。

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