← Decision Patterns Monitoring & Data
What problem does this solve?
Without continuous data, operators only discover problems after damage has occurred. Intermittent sampling misses short-lived events like pollution spills or pressure drops.
How it works
Networks of sensors installed across the water system transmit readings in real time to a central control room, enabling immediate detection and response.
Typical infrastructure
Sensors (flow, pressure, quality), telemetry units, communications networks, SCADA systems
Typical monitoring
Real-time dashboards, automated alerts, trend analysis
Strengths
Immediate detection of problems; builds long-term datasets for planning; enables automation
Trade-offs
Ongoing maintenance and calibration costs; sensor networks can be expensive to retrofit; data overload without good analytics
Related use cases
Operational scenarios where this pattern is applied:
Case studies
Real-world examples of this pattern in action: