10.15131/shef.data.5363899.v1 Peter van Thienen Peter van Thienen Maurits Maks Maurits Maks Doekle Yntema Doekle Yntema Jean-Paul Janssens Jean-Paul Janssens Bart Bergmans Bart Bergmans Roel Diemel Roel Diemel Michel Helgers Michel Helgers Peter Horst Peter Horst Eelco Trietsch Eelco Trietsch CCWI2017: F31 'Continuous robotic inspection of pipes for data rich asset management' The University of Sheffield 2017 CCWI2017 Pipe inspection condition assessment robotics Civil Engineering not elsewhere classified 2017-09-01 15:04:27 Journal contribution https://orda.shef.ac.uk/articles/journal_contribution/CCWI2017_F31_Continuous_robotic_inspection_of_pipes_for_data_rich_asset_management_/5363899 An aging network in combination with stricter stakeholder requirements force the Dutch drinking water sector to improve the asset management of their water transport and distribution networks. Autonomous inspection robots (AIRs) provide a means to obtain knowledge on the condition of more pipes against lower cost, resulting in more focused rehabilitations and replacements, reduction of water loss through leakage, and a better knowledge and understanding of the system. In this paper, we describe the concept, a first prototype, and further steps that are currently being taken towards the development and application of this tool.<br>