Logo
  • Cases & Projects
  • Developers
  • Contact
Sign InSign Up

Here you can add a description about your company or product

© Copyright 2025 Makerkit. All Rights Reserved.

Product
  • Cases & Projects
  • Developers
About
  • Contact
Legal
  • Terms of Service
  • Privacy Policy
  • Cookie Policy
Development of a Real-Time Water Distribution Network Monitoring Dashboard
  1. case
  2. Development of a Real-Time Water Distribution Network Monitoring Dashboard

Development of a Real-Time Water Distribution Network Monitoring Dashboard

effectivesoft.com
Utilities
Information technology

Challenges in Water Distribution System Monitoring and Management

The client operates a segmented water distribution network with independently regulated subnetworks called District Metered Areas (DMAs). While IoT sensors collect vital data at high-impact nodes, there is no integrated system to process, visualize, and analyze this data effectively, hindering real-time decision-making and maintenance planning.

About the Client

A large regional utility company responsible for managing and monitoring water distribution infrastructure across multiple regions, seeking to enhance operational visibility and maintenance efficiency.

Goals for Developing an Advanced Water Network Monitoring Platform

  • Create an integrated dashboard providing a comprehensive, real-time view of water network parameters such as flow rates, pressure levels, leaks, and pipe integrity.
  • Enable visualization of water distribution data on an interactive virtual map with asset-specific reporting capabilities.
  • Implement data processing APIs to aggregate raw IoT sensor data, calculate key metrics, and determine asset health status using color-coded indicators (e.g., RAG status).
  • Incorporate historical data analytics to facilitate maintenance scheduling and network optimization.
  • Ensure the platform is scalable, robust, and supports multi-region management with user-specific access controls.

Core Functional System Features and Capabilities

  • API backend to consolidate raw IoT data into structured tables and compute averages/deviations from standard metrics.
  • API for real-time asset status assessment using processed data to assign RAG (Red, Amber, Green) indicators.
  • Map-based interface displaying sensor locations, asset statuses, and the ability to select individual assets for detailed reports.
  • Visualization of flow rates, pressure levels, leak detection, and pipe break reports.
  • Historical data tracking for each asset with trend analysis features.
  • User access controls based on regional and asset-specific roles.

Preferred Technologies and Architectural Approaches

Backend development with .NET Core 3.1 or equivalent framework
Frontend development using Angular 8 or higher
Database system such as MS SQL Server
Map visualization with OpenLayers or similar GIS-based library
State management with NgRx or comparable state handling framework

Required External System Integrations

  • IoT sensor data sources for real-time data ingestion
  • Existing water network databases or GIS systems for asset mapping
  • Reporting and analytics modules for historical data analysis

Essential Non-Functional System Requirements

  • Scalability to support multiple regions with increasing data volume
  • Performance to ensure real-time data updates with minimal latency
  • Security measures including role-based access control and data encryption
  • System availability and disaster recovery preparedness

Anticipated Business Benefits and Performance Improvements

The implementation of the water distribution network monitoring dashboard is expected to improve operational efficiency by providing real-time asset insights, enabling proactive maintenance, reducing leakages and pipe failures, and streamlining management processes. The platform aims to decrease operational costs, enhance service reliability, and support strategic planning through historical data analysis, ultimately leading to a more resilient and sustainable water supply system.

More from this Company

Development of an AI-Powered Video Interview Training Platform with Accessibility Compliance
Comprehensive Testing and Quality Assurance Framework for Multi-Platform Financial Trading Application
Development of an AI-Driven Patient Data Integration and Search Platform
Development of a Fleet Tachograph Data Management and Compliance System
Development of an Internal Analytics Dashboard for Healthcare Performance Monitoring