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What is this?
Gather continuous readings from sensors across the water network — pressure, flow, quality, and equipment status — into a central platform.
When does it happen?
Continuous. Essential for detecting leaks, bursts, contamination, and equipment failures as they happen rather than days later.
What data is used?
IoT sensors, SCADA telemetry, pressure loggers, flow meters, water quality probes.
What decision is made?
“Is the data within normal ranges? Are there anomalies?”
What action follows?
Store for analysis; raise automated alarms for anomalies; feed into dashboards and predictive models.
Related decision patterns
Proven strategies for handling this scenario:
Smart monitoring networks
Traditional manual inspections and periodic sampling miss problems between visits. Large networks with thousands of assets cannot be physically checked frequ...
Continuous monitoring networks
Without continuous data, operators only discover problems after damage has occurred. Intermittent sampling misses short-lived events like pollution spills or...
Case studies
Real-world examples of this use case in practice: