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Development of Advanced Water Network Analytics Suite with Real-Time Monitoring and Anomaly Detection
  1. case
  2. Development of Advanced Water Network Analytics Suite with Real-Time Monitoring and Anomaly Detection

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Development of Advanced Water Network Analytics Suite with Real-Time Monitoring and Anomaly Detection

zaven.co
Utilities
Environmental Services
Information technology

Challenges in Water Network Monitoring and Data Management

Inefficient processing of large-scale time-series data from water networks, difficulty in real-time anomaly detection (e.g., leaks), lack of intuitive user interfaces for data analysis, and infrastructure limitations causing latency in handling increased data volumes.

About the Client

A UK-based subsidiary of SUEZ specializing in water network monitoring solutions, offering real-time insights and high-frequency pressure monitoring for water utilities.

Project Goals for Enhanced Water Network Management

  • Develop scalable tools for real-time anomaly detection in water networks
  • Optimize data processing and storage to reduce latency by up to 6000%
  • Design a user-friendly interface for seamless data visualization and analysis
  • Implement automated notification systems for rapid issue resolution
  • Streamline CI/CD pipelines to accelerate software release cycles

Core System Functionalities and Features

  • Real-time ingestion and processing of high-frequency sensor data
  • AI/ML-driven anomaly detection algorithms
  • Interactive dashboard with customizable network performance visualizations
  • Automated alert system for leak detection and irregularities
  • Role-based access control for secure data management

Technology Stack Preferences

Time-series databases (e.g., InfluxDB, TimescaleDB)
Cloud infrastructure (AWS/GCP)
CI/CD pipelines (GitHub Actions, Jenkins)
Machine learning frameworks (TensorFlow, PyTorch)
Modern frontend frameworks (React, Angular)

System Integration Requirements

  • Legacy SCADA systems for water utilities
  • IoT sensor networks for pressure and flow monitoring
  • ERP systems for maintenance workflow automation

Non-Functional Requirements

  • Horizontal scalability to handle petabyte-scale data growth
  • Sub-second latency for critical alerting workflows
  • Enterprise-grade data encryption and access auditing
  • 99.99% system uptime with fault-tolerant architecture
  • Compliance with ISO 27001 and GDPR standards

Expected Business Impact of Enhanced Water Network Analytics

Enables 24/7 proactive water network management with 60x faster anomaly resolution, reduces water loss by up to 30%, improves operational efficiency through automated reporting, and enhances regulatory compliance with auditable data trails. The optimized infrastructure reduces processing costs while supporting nationwide scalability for utility providers.

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