Development of an Advanced Water Network Monitoring and Analytics System

The utility provider faces difficulties in processing and managing large volumes of timeseries data from their water distribution networks. Existing systems struggle with timely anomaly detection, such as leaks, and lack intuitive interfaces for effective data analysis. Additionally, the infrastructure requires optimization to handle increased data processing demands with minimal latency, hindering operational efficiency and rapid response capabilities.

A utility company responsible for managing water distribution infrastructure, seeking to enhance network monitoring, leak detection, and operational efficiency through real-time analytics and user-friendly data visualization tools.

• Develop a robust system for real-time reporting of water network status with integrated anomaly detection.
• Achieve significant acceleration in data processing speeds (targeting up to 6000% improvement) for timely identification of irregularities.
• Create an intuitive, user-friendly interface that enables easy browsing, analysis, and identification of network issues.
• Implement active notification mechanisms to alert users to anomalies promptly.
• Optimize data storage and processing infrastructure to support high-frequency data ingestion and analysis.
• Streamline deployment cycles through automation, continuous integration, and continuous delivery practices to facilitate rapid updates.

• Real-time data ingestion and storage of high-frequency timeseries metrics from water distribution sensors.
• Advanced anomaly detection algorithms to automatically identify leaks, pressure irregularities, and other anomalies.
• A dynamic, user-friendly web interface featuring interactive dashboards for browsing and analyzing network data.
• Tools for easy navigation, irregularity identification, and detailed data exploration.
• Active alert and notification system for immediate incident reporting.
• Mechanisms to support continuous system improvements via CI/CD automation.

• Sensor data streams from water infrastructure
• Notification and alerting systems
• Existing data repositories and GIS systems

• System scalability to handle an increase in data volume and user load without performance degradation.
• Processing latency minimized to enable near real-time anomaly detection.
• High data security and user access controls to protect sensitive infrastructure data.
• Robust system availability and reliability to support critical infrastructure monitoring.

The implementation of this system is expected to significantly enhance operational efficiency by enabling faster detection and response to network irregularities, with a target acceleration of processing speeds up to 6000%. The new platform will improve decision-making, reduce water loss through early leak detection, and streamline maintenance workflows, ultimately leading to more reliable water supply management and increased stakeholder confidence.