Having regular and current information on the condition of water assets empowers crucial decision-making, helping water companies prioritise often conflicting demands, and thereby optimising the deployment of resources (eg. ground surveys or acoustic loggers), repair and maintenance, and asset investment.
Utilities Kingston was interested to explore the benefits of Rezatec’s unique satellite data analytics.
Covering Utilities Kingston’s entire metropolitan water supply network for a 3-year retrospective deployment, the aim was to show that satellite data analytics can provide rich, accurate and actionable insights for proactive risk monitoring and resource optimisation.
To provide Utilities Kingston with pertinent insights, Rezatec employed its proprietary Pipeline Risk model, which presents a relative leak/burst risk score between 0 and 5 (0 = low and 5 = high) for each pipeline section; known as a Likelihood of Failure (LoF) score.
The deployment ran over 6 months, and validated by Utilities Kingston, demonstrated that 64% of water leaks occurred in just 20% of the network that was identified by the model as being at the highest likelihood of failure.
This risk classification can therefore be used going forward to prioritize inspection, detection or maintenance activities in a cost-effective manner. The deployment also provided insights that surprised Utilities Kingston, such as the fact that there were specific areas of subsidence observed where some of the historic incidents occurred – demonstrating the value of monitoring ground movement for pipeline leak detection purposes.
Take a look at geospatial AI in action. Explore how satellite data can provide a view of your entire asset base across vast areas. Discover how analytics drill down to a level of detail you never knew existed.
