A STUDY ON COMMUNICATION BETWEEN BRIDGE INSPECTION SITE AND REMOTE SITE USING 5G AND BRIDGE DAMAGE INSPECTION SUPPORT SYSTEM

Abstract

The deterioration of bridges has become an urgent problem. Bridges need to be properly maintained and managed, so that bridge managers have been required to perform close visual inspection once every five years since 2014. However, the continuous close visual inspection is difficult in the local government in which finance and manpower are insufficient. Therefore, alternative means of close visual inspection are studied. The authors developed "Bridge inspection support system" which detects damage from bridge images by AI analysis. The inspection by the image can be expected for efficiency improvement and labor saving. On the other hand, in order to upload bridge images with a huge amount of data quickly, high-speed communication is necessary. In this study, the bridge image was uploaded to this system using 5G, and we examined the usefulness of the remote bridge inspection while communicating with the bridge site in the remote place. We experimented on the uploading time of the image in the simulated remote bridge inspection using 5G. In addition, we interviewed bridge inspectors about the possibility and problems of the system, and grasped the problems of communication in remote bridge inspection