Water Management and Leak Detection Process

Optimize your facility's efficiency with our comprehensive Water Management and Leak Detection Process. Learn how to implement proactive monitoring, rapid response protocols, and smart sensor integration to prevent costly water damage, reduce utility waste, and ensure long-term structural integrity and sustainability in your building operations.

Inicio
1. Fetch Sensor Data
2. Calculate Flow Variance
3. Calculate Pressure Drop
4. Aggregate Daily Consumption
5. Threshold Comparison
6. Create Leak Incident Report
7. Assign Field Technician
8. Inspection Checklist
9. Update Incident Status
10. Notify Operations Manager
11. Emergency SMS Alert
12. Fetch Asset Metadata
13. Weekly Water Loss Report
14. Cleanup False Alarms
15. Update Asset Maintenance Log
Fin

Inicio del flujo de trabajo/proceso.

Retrieve recent flow rate and pressure readings from the Water Meter Data Model.

Compare current flow rate against the historical baseline to identify deviations.

Determine the difference between upstream and downstream pressure to detect potential leaks.

Sum the total water volume recorded across all sensors for the last 24-hour period.

Evaluate if the calculated variance or pressure drop exceeds the predefined safety thresholds.

Generate a new entry in the 'Leak Incidents' data model when a threshold breach is detected.

Create a task for the maintenance team to perform an on-site physical inspection.

A set of steps for the technician to verify pipe integrity, valve status, and visible moisture.

Update the 'Leak Incident' entry status to 'Investigating' or 'Resolved' based on task completion.

Send an automated email alert to the Operations Manager regarding the detected anomaly.

Send an urgent SMS to the on-call technician if a high-pressure burst is detected.

Retrieve pipe material and age information from the Asset Data Model to assess risk.

Generate a summary report of all detected leaks and repair costs for the weekly management review.

Delete temporary anomaly entries that were flagged incorrectly by sensor noise.

Update the 'Asset Data Model' to reflect the most recent repair date and maintenance notes.

Fin del flujo de trabajo/proceso.

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