Development of an Advanced Water Utility Monitoring and Anomaly Detection System

The client faces significant delays in issue notification due to traditional water monitoring systems, which often alert problems such as leaks, pipe bursts, or water theft with a delay of up to a day. Additionally, there is a need to collect high-resolution data on water flows and pressures to enable precise analysis and proactive management, which current solutions do not adequately provide.

A medium to large water utility company seeking to enhance its water monitoring infrastructure with real-time analytics, anomaly detection, and operational optimization capabilities.

• Implement a monitoring system capable of detecting anomalies within 15 to 30 minutes of occurrence, reducing response time compared to traditional systems.
• Collect and analyze high-resolution water flow and pressure data to improve operational insights.
• Reduce water losses, prevent system failures, and support environmental sustainability efforts.
• Provide real-time consumption monitoring and alerting to support efficient water management and customer transparency.
• Enable zone-based water usage balancing by comparing inflow and consumption metrics across distribution districts.
• Support environmental sustainability initiatives by reducing water waste and energy consumption.

• Water meter overlays compatible with various market-available water meters to record detailed utilization data and perform autonomous anomaly detection using AI algorithms.
• A centralized server software infrastructure supporting historical, cross-sectional, comparative, optimization, and predictive analyses for individual meters.
• A unified control panel for utility operators and end-users to view consumption data, receive alerts, and configure alarms.
• Ability to monitor and compare water inflow versus consumption across different distribution zones for balancing water usage.
• Real-time notification system for leak detection, pipe bursts, and other anomalies with minimal latency.
• Data visualization tools including charts and geographic maps for contextual analysis.

• IoT sensor data streams for real-time water flow and pressure measurements
• Existing water meter infrastructure for overlay compatibility
• Historical data sources for cross-sectional and comparative analyses
• Alarms and notification systems for prompt alerting
• Environmental and operational databases for context-aware analytics

• System should process and analyze sensor data within 15-30 minutes of detection to ensure timely responses.
• High system availability with 99.9% uptime supporting continuous water monitoring.
• Scalable architecture to accommodate increasing sensor deployments and data volume.
• Data security and privacy measures aligned with industry standards to protect sensitive infrastructure information.
• Responsive design ensuring accessibility across desktop and mobile devices.

The implemented system is expected to significantly reduce water losses and environmental waste by enabling swift anomaly detection and response, with targeted detection within 15-30 minutes. It will support resource optimization, operational efficiency, and enhanced customer transparency. Additionally, the system aims to foster sustainable water management practices, ultimately leading to reduced energy consumption, improved stability of water pressure, and better distribution zone management, thereby strengthening the client's market position in innovative utility management.