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>