The vast amount of data from the increased inspection frequency is analysed and visualized for the end-users, the utility companies, in an Asset Management software also developed in the project. The purpose is to provide a reliable prioritized list of pipes that needs either repair or replacement. The asset management tool will rely on not only ASIR data but a wide range of available data and utilize state-of-the-art machine learning techniques to give the best prediction of time for a replacement that continues to improve accuracy over time with more data and more data. In this way, the utility companies can optimize and extend the life of the pipes to ensure the most value from their assets.
ASIR is funded by the Innovation Fund Denmark and consists of a consortium of leading universities, industrial partners from both domestic and abroad as well as the three largest utility companies in Denmark: Aalborg University, TinyMobileRobots, Aarhus Water, Innovation Fund, Southern Danish University, HOFOR, VandCenter Syd, FKSSlamson, Inloc Robotics and EnviDan. The funding for the project started in 2018 and ends in 2021.