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

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.