A Database for Selection of Rehabilitation Techniques of Sewer Pipes

Automation in construction gained sizable momentum during the last decade and considerable efforts have been made to benefit from this emerging technology in reducing cost and improving quality of work performed in this industry. This is particularly true in inspection and maintenance tasks of infrastructure facilities. This paper presents an automated system for inspection of sewer pipes. The system can detect, classify and recommend the most suitable rehabilitation techniques for a number of defects that commonly exist in this class of pipes. The system consists of two main sub-systems: detection and rehabilitation. The paper briefly describes the developed automated detection sub-system and focuses primarily on the conceptual design of the rehabilitation sub-system.