Neuro-Fuzzy Approaches for Sanitary Sewer Pipeline Condition Assessment

摘要

Recent advances in optical sensors and computing technologies have led to the development of inspection systems for underground facilities such as water lines, sewer pipes, and telecommunication conduits. It is now possible for inspection technologies that require no human entry into underground structures to be Fully automated, from data acquisition to data analysis, and eventually to condition assessment.