Sydney Water plans to use machine learning techniques to assess and identify water pipes that are at risk of breaking.
The utility said it would work with National ICT Australia (NICTA) on the $ 700,000 project, which is part of a larger five-year $ 16 million project revealed in Sydney Water’s latest annual report. (pdf).
“All water utilities with buried water pipes face the problem of finding pipes at high risk of failure before they break down and cause significant disruption to the community,” the said. Sydney Water chief executive Kevin Young in a statement.
“To do this, we need precise models to identify high-risk pipes that may cope with differences in age, pipe material, environmental conditions and urbanization.
“We need smart technology to help provide answers.”
NICTA has already tested machine learning technology to identify risky water infrastructure in Wollongong, south of Sydney.
Sydney Water’s science and technology director Greg Allen said in the annual report that technologies “from around the world” are being brought to Australia as part of the five-year project.
“We are working with universities and other industry leaders to study when and why water pipes burst.”