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Client context
The Expert Water Analysis System is designed for water utilities and organizations responsible for monitoring and managing water consumption. It supports a wide range of stakeholders, including infrastructure operators, enterprises, residential communities, and billing teams, helping them gain better visibility and control over water usage.
The challenge
Traditional water monitoring systems often operate with significant delays, detecting issues such as leaks or irregular consumption only after many hours or even a full day.
This delay increases the impact of failures, leading to water loss, higher operational costs, and reduced system efficiency.
At the same time, limited access to high-resolution data made it difficult to understand usage patterns, detect anomalies early, and respond effectively to changing conditions within the network.
What it took to deliver results
To address these limitations, the system needed to:
- detect anomalies in near real time
- collect high-resolution data on water flow and pressure
- identify issues such as leaks, bursts, and irregular usage
- support predictive analytics for proactive decision-making
- provide clear visibility into consumption and system behavior
- enable both operators and end users to monitor and react
The goal was to move from delayed, reactive monitoring to a more responsive and data-driven approach.
The solution
A combined hardware and software platform was developed to monitor water consumption and detect anomalies using IoT and machine learning techniques. Instead of relying on delayed reporting, the system analyzes data continuously, enabling much faster detection of irregularities.
The solution integrates water meter overlays with a centralized analytics platform, allowing data to be collected, processed, and interpreted in a unified environment. By combining real-time monitoring with predictive capabilities, the system supports both immediate response and long-term optimization of water networks.
Technology stack:
- C / MicroPython for embedded systems
- Java / Kotlin for backend services
- MongoDB for data storage
- React, Redux, TypeScript for frontend applications
- Chart.js / React Leaflet for data visualization
- PWA / RWD for cross-device accessibility
How it works
Water meter overlays collect detailed consumption data directly from existing infrastructure, ensuring compatibility with a wide range of devices. This data is transmitted to a central system, where it is analyzed using algorithms that detect anomalies and identify patterns in usage.
The platform provides a unified interface where operators and users can monitor consumption, configure alerts, and analyze trends. Detection of irregularities typically occurs within 15–30 minutes, allowing rapid response to issues that would otherwise remain unnoticed for much longer.
Key capabilities:
- Near real-time anomaly detection (15–30 minutes)
- Monitoring of water consumption and pressure
- Detection of leaks, bursts, blockages, and irregular usage
- Predictive analytics for demand and system behavior
- Centralized dashboard for monitoring and alerts
- Compatibility with existing water meter infrastructure
Impact on operations
The system significantly improved response time to issues within water networks, allowing operators to detect and address problems much earlier than with traditional monitoring methods. This reduces the impact of failures and improves overall network stability.
Access to detailed and continuous data also enables better understanding of consumption patterns, supporting more informed operational decisions and system optimization.
Business impact
The solution delivered measurable improvements across key areas:
- Faster anomaly detection, reducing water loss and damage
- Improved operational efficiency, through real-time monitoring
- Lower maintenance costs, by enabling early intervention
- Better resource utilization, through data-driven insights
- Enhanced visibility, across water networks
- Scalable platform, supporting broader utility applications
Environmental impact
The platform also contributes to sustainability goals:
- Reduced clean water loss, through early leak detection
- Lower energy consumption, by optimizing system performance
- Improved awareness of water usage, among consumers
- Support for responsible resource management, across communities
The system is being further developed for commercialization and expansion into broader utility management scenarios. Its architecture allows it to be extended to additional use cases, supporting long-term improvements in infrastructure efficiency and sustainability.
We’ll review your goals, technical constraints, and opportunities to design a solution that fits your organization.
