Manage networks with space data. Our latest water industry report
Geospatial AI can improve water network management through resource & capex optimisation
- Identify problem areas with the highest likelihood of failure
- Optimise the deployment of leak detection & maintenance teams
- Access sophisticated risk models that consider pipeline & environmental characteristics
- Identify the 30% of your network where you can expect 70% of leaks to occur
Find out how we can reduce water lost in your network
Leaking pipes are both a financial and environmental concern for water network operators worldwide. In this article, we describe how Geospatial AI can assist in both reducing the cost and time to find leaks by prioritising where to inspect the network based on its likelihood of failure, optimizing both ground resource and capital expenditure, such as acoustic logger procurement and pipeline replacement.
Find high risk areas in your network
Resource & sensor placement optimisation
Prioritise planned maintenance activity
“This guide reveals how we are able to drastically improve the efficiency and reduce the cost of water network management though intelligent, satellite-driven decision support.”
– Philip Briscoe, COO, Rezatec
“This completely changed the way I thought about the future of network management. There are serious improvements to be made and now the technology exists to make it a reality.”
– Water industry expert
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Rezatec uniquely combines remote sensing analysis with data science to deliver Geospatial AI. Using machine learning driven statistical processing of satellite imagery and selected data inputs Rezatec provides proactive risk management as a data service. With subscription-based online access to a geospatial portal, our customers use our expertise and data-driven analysis to enable reduced operating costs and optimised asset management across their networks.