Distribution Network Operational Management: Extending Asset Life with AI

At one of our partner utilities, asset life was a persistent concern. Many assets, particularly older infrastructure, were showing wear due to high usage intensity, leading to frequent repairs. But with WaterGuru analyzing real-time condition and usage data, the utility discovered a more targeted approach. For example, older assets with high usage were identified as requiring immediate maintenance, while others with lower condition scores but moderate usage intensity had a few more years of life left.

WaterGuru helped prioritize maintenance, reducing costs and extending asset life by ensuring repairs were only done when truly needed. The dataset in this use case is derived from actual installation years, condition scores, and usage intensity records, allowing us to predict life extension based on real-world metrics.