District heating
Network data before a failure hits
A heating operator with scattered measurement points – reactive failure handling instead of early telemetry signals.
Telemetry in many systems, failures detected too late
Sensor data landed in separate tools – no unified view of district heating line status.
No central telemetry collection from lines – operators reacted only after customer failure reports.
Operational reports required manual data export from multiple sources.
No early warning model for failures on critical network segments.
- Scattered measurement data sources
- Manual weekly reports
- Reactive failure handling
Telemetry platform with prediction module
IoT data aggregation, network state visualization, and trend-based alerts.
We deployed a layer collecting telemetry from measurement points on heating lines – temperature, pressure, flow. Data goes to a central database with historical retention.
The operations panel shows network status near real time. The prediction module analyzes deviations from baseline and generates alerts before full failure escalation.
- Telemetry aggregation from multiple measurement points
- Operational and historical reports
- Predictive alerts on network lines
- 24/7 network status dashboard
Earlier response and a unified network view
Operators see anomalies before customers report problems.
The operations team has one panel instead of logging into several sensor vendor systems.
Predictive alerts enable planned service interventions before a network segment goes fully offline.
- Central telemetry across the network
- Automatic operational reports
- Earlier anomaly detection
Technologies used
Telemetry, IoT, Analytics, Failure prediction
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