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Geospatial AI can improve water network management through resource & capex optimisation

 

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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

Identify problem areas with the highest likelihood of failure.

Resource & sensor placement optimisation

Optimise the deployment of leak detection & maintenance teams.

Understand your network like never before

Sophisticated risk model that considers pipeline & environmental characteristics.

Prioritise planned maintenance activity

Identify the 30% of your network where you can expect 70% of leaks to occur.

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