The Challenge
An ageing network was maintained reactively: crews responded to failures rather than preventing them, and asset condition data sat in telemetry, inspection reports and work-order history that never met in one place.
Reactive maintenance across an ageing network
Condition data siloed in three systems
No forward view of failure risk
The Solution
We engineered pipelines over telemetry, inspections and work-order history into one asset model on Azure, and put failure-risk scoring on top — monthly scores for every asset, turned into a prioritised field work programme.
One asset model over telemetry, inspections and work orders
Monthly failure-risk scores across the network
Risk ranking driving the field work programme
"The crews now go where the risk is, not where the last fault was."
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