INVESTIGATION OF MEASUREMENT OF THE REAL-TIME UNDERWATER SONAR FOR PORT MAINTENANCE AND MANAGEMENT

Abstract

 In the midst of the increasing Port Structures that have crossed the in-service period of 50 years from construction, there is also deterioration in the number of divers carrying out the underwater investigation. Hence it is indispensible to develop a technique capable of carrying out wider area investigation in a shorter time, as an alternative of the current method of regular inspection of port structures by divers. Using realtime Underwater Sonar, the possible alternative methods has been checked for the inspection items mentioned in the Guidelines on Inspection and Diagnosis methods of Port structures.

 In this paper, a tool that compares the present realtime sonar data with the past data is developed. Its adaptability to the inspection items as mentioned in the guidelines and its efficiency on the time taken for inspection has been investigated. While the past research concludes that the adaptability to the inspection items was low, the feasibility of using underwater point cloud data in convolutional neural network for port maintenance is also reported.