← Decision Patterns Monitoring & Data
What problem does this solve?
Traditional manual inspections and periodic sampling miss problems between visits. Large networks with thousands of assets cannot be physically checked frequently enough.
How it works
Internet-connected sensors across the water network continuously measure pressure, flow, quality, and other parameters. Data is analysed centrally to detect anomalies and predict failures.
Typical infrastructure
IoT sensors, communication gateways, cloud platforms, analytics software
Typical monitoring
Real-time telemetry dashboards, automated anomaly detection, predictive maintenance alerts
Strengths
Detects problems early; reduces manual inspection costs; enables predictive maintenance; builds operational intelligence
Trade-offs
Sensor networks require ongoing maintenance; cybersecurity risks; initial investment can be high; rural areas may lack connectivity
Related use cases
Operational scenarios where this pattern is applied:
Case studies
Real-world examples of this pattern in action: