Identify highest risk pipeline sections
Build a full digital risk profile of the entire network, tracking changing probability of failure.
Faced with the need to improve performance, Europe’s water utilities are adopting a new technique based on remote sensing and artificial intelligence. This article looks at how geospatial AI enables water leaders to:
Build a full digital risk profile of the entire network, tracking changing probability of failure.
Target investment and field crew resources on those areas with the greatest need for intervention.
Prioritise any upgrades on those parts of network at the highest risk of failure and the highest consequences.
Pipeline Risk enables water leaders to remotely determine the highest risk of pipeline failure across the entire network – and upgrade it – ahead of time. It establishes the likelihood, consequence and cost of failure using satellite and multiple data feeds fused with the most advanced AI on the market. And it’s 10% more accurate than other risk models. Use these constantly refreshed insights it to prioritize, plan and optimize investment, drive productivity gains and maximize water value.
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.