Automated Condition Assessment of Sanitary Sewer Pipes Using LiDAR Inspection Data
Publication: Pipelines 2022
ABSTRACT
Sewer pipes are a big part of the nation’s aging infrastructure and require frequent inspection for maintenance and condition assessment. Recent advancements in inspection technologies such as multi sensor inspections (MSI) allow for a full condition assessment of these buried sewer systems. In this paper, an automated framework for condition assessment of a sanitary reinforced concrete sewer pipe is developed using LiDAR inspection data. The procedure for filtering and alignment of the 3D point cloud of raw data and conversion to pipe inner geometry coordinates and applicable 2D rings is presented in detail. For each ring, the actual diameter is calculated using k-nearest neighbor algorithm, while the ovality is calculated using the ASTM F1216 standard. This automated approach could be an alternative for in field pipe diameter determination such as mandrel testing, which is one of the first and necessary steps for an effective life cycle management of wastewater conveyance network.
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Pipelines 2022
Pages: 136 - 144
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Published online: Jul 28, 2022
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- Salar Shirkhanloo, Madhuri Arjun, Mohammad Najafi, Vinayak Kaushal, Kawalpreet Kaur, Ahmad Jibreen, Investigation of KNN and Decision Tree Methods’ Efficiency in Developing Prediction Models for Sewer Pipes, Pipelines 2023, 10.1061/9780784485033.018, (158-169), (2023).