Asset Utilisation Optimisation · WATER UTILITIES
Pumping stations measured the way the rest of the plant is.
A catastrophic engine-room failure at a pumping station ripples through primary, secondary and tertiary treatment — and proactive maintenance scheduling is hard without comprehensive insight into station-level equipment health. The XMPro AO Platform applies OEE-style measurement to every pumping station, surfacing the availability, performance and quality signals that drive treatment continuity.
What's getting in the way today.
Pumping station reliability is the foundation of treatment continuity, and three pressures compound:
Catastrophic failure risk
Engine-room failures cause extensive equipment damage and disrupt every downstream treatment stage — and they rarely arrive without earlier signals that went unread.
Cascading impact across treatment stages
Failures at any pumping point hit primary, secondary and tertiary treatment together. The cost ripples beyond the failed asset.
Proactive maintenance scheduling
Without comprehensive equipment-health insight, planning maintenance to prevent shutdowns becomes guesswork against the wrong baseline.
Pumping Station OEE — how it works.
OEE-style measurement across the pumping station — availability, performance and quality signals tied to predictive analytics and condition-based maintenance scheduling.
The platform integrates real-time telemetry from pumping-station equipment — pump vibration, motor current, flow, pressure and energy consumption — and applies OEE-style decomposition into availability, performance and quality across primary, secondary and tertiary stages. Predictive analytics models forecast component degradation and surface ranked recommendations with confidence scoring. A digital twin lets reliability engineers test interventions before changing anything in operation. Threshold breaches generate alerts routed to the right responder, and configurable dashboards drill from station-level OEE into individual assets with maintenance-schedule overlay.
*Illustrative dashboards from the platform. Layout, signals and decision points are scoped per site.
Scope this for your operation.
Tell us about your fleet, your control maturity and the lever that matters most. We’ll map this use case to your starting point.
What this looks like in operation.
Treatment continuity protected
OEE-level visibility across the station catches the precursors to engine-room failure before they take a treatment stage down.
Maintenance that lands at the right time
Condition-based scheduling moves work into planned outage windows rather than emergency response — across primary, secondary and tertiary stages.
A common operating picture
Operators, reliability engineers and treatment leads share one view of station health, decomposed the same way the rest of the plant is measured.
Built for these industries.
Other solutions you might explore.
Not a concept. In production.
XMPro is deployed at Tier 1 global operators across asset-intensive and mission-critical industries — delivering measurable results across predictive maintenance, process optimisation and operational intelligence.
Now pushing the frontier.
MAGS agents are achieving what no other industrial platform has demonstrated — sustained autonomous operations at enterprise scale.
