Systems and methods for subnetwork hydraulic modeling

The system with Boundary Devices and AMI data enhances the management of water distribution networks by automating subnetwork analysis, addressing the inefficiencies of DMAs with precise simulation and real-time data integration.

CA3047532CActive Publication Date: 2026-06-30SENSUS SPECTRUM LLC
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Patent Information

Authority / Receiving Office
CA · CA
Patent Type
Patents
Current Assignee / Owner
SENSUS SPECTRUM LLC
Filing Date
2017-09-19
Publication Date
2026-06-30

AI Technical Summary

Technical Problem

Current methods for managing District Metered Areas (DMAs) in water distribution networks are labor-intensive and require substantial human involvement, as they lack a practical mechanism to confirm valve positions, leading to uncertain flow data and inefficient network management.

Method used

Implementing a system with Boundary Devices that include flow meters and pressure sensors at each node, utilizing Master and Slave Devices to simulate subnetwork hydraulic models, and integrating Advanced Metering Infrastructure (AMI) data for real-time management and anomaly detection.

Benefits of technology

Enables efficient, automated management of subnetworks for leak detection, hydrant flushing, and pressure management, reducing human intervention and improving network performance through precise simulation and data-driven decision-making.

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Abstract

A system for managing a distribution network preventing excess pressure and / or minimizing leakage and / or the likelihood of bursts. The system includes a network hydraulic model, an automated meter infrastructure (AMI) providing AMI data from consumption meters, subnetworks within the distribution network, nodes interconnecting the subnetworks, and boundary devices connected to the nodes. Each boundary device includes a flow meter and a pressure sensor sensing a flow and a pressure of the distribution network at the nodes at a given time step. A subnetwork hydraulic model is generated for each subnetwork from the network hydraulic model. Processing modules determine a comparison for the given time step between the AMI data within corresponding given subnetworks, the flow and the pressure at the nodes bordering the corresponding given subnetworks, and the subnetwork hydraulic models for the corresponding given subnetworks. The distribution network is managed based at least in part on the comparison.
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