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Smart Water Utility Management System with Predictive Analytics and Anomaly Detection
  1. case
  2. Smart Water Utility Management System with Predictive Analytics and Anomaly Detection

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Smart Water Utility Management System with Predictive Analytics and Anomaly Detection

intechhouse.com
Utilities
Environmental Services
Manufacturing

Challenges in Traditional Water Utility Management

Existing water monitoring systems suffer from delayed notifications (24-hour lag) leading to undetected leaks, pipe bursts, water theft, and inefficient usage. Lack of high-resolution data collection on water flows and pressures limits proactive maintenance and optimization opportunities.

About the Client

Water utility management solution provider serving residential, commercial, and industrial clients

Goals for the Smart Water Utility Solution

  • Implement real-time anomaly detection with alerts within 15-60 minutes
  • Reduce clean water loss through predictive maintenance capabilities
  • Enable high-resolution data collection for flow and pressure analysis
  • Optimize water distribution zone balancing
  • Enhance environmental sustainability through consumption optimization

Core System Functionalities

  • Real-time water flow and pressure monitoring via IoT sensors
  • AI-powered anomaly detection algorithms
  • Historical and predictive usage analysis dashboard
  • Customizable alert configurations for leaks and inefficiencies
  • Cross-sectional zone balancing analysis tools
  • User-facing consumption visualization interface

Technology Stack Requirements

IoT (Internet of Things) architecture
Artificial Intelligence/Machine Learning
MongoDB for time-series data storage
React-based frontend with PWA capabilities
MicroPython for sensor programming
Java/Kotlin backend services

System Integration Needs

  • Legacy water meter compatibility layer
  • SCADA system integration
  • Billing system API connections
  • Geospatial mapping (Leaflet.js)

Performance and Quality Standards

  • Sub-second latency for critical alerts
  • 99.99% system uptime SLA
  • Secure data transmission with GDPR compliance
  • Scalable architecture for 1M+ connected sensors
  • Mobile-responsive interface with offline capabilities

Expected Business and Environmental Impact

Anticipated 30-50% reduction in water loss from undetected leaks, 25% improvement in energy efficiency for water distribution, and 40% faster incident response times. The system will enable proactive maintenance scheduling, reduce operational costs by 20%, and support sustainability goals through consumption optimization analytics.

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