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case study

Monitoring Water Quality & Quantity

Monitoring the quality of public drinking water is crucial to prevent health hazards from contaminants like bacteria, heavy metals, and chemicals. Key parameters include pH, turbidity, TDS, microbial content, chlorine levels, and heavy metals. Ensuring optimal chlorination prevents bacterial growth while avoiding excessive chlorine, which can cause health issues. AI and IoT enable real-time water quality and quantity monitoring by integrating smart sensors, cloud analytics, and automated alerts. AI-driven predictive maintenance ensures stable supply, while IoT-enabled smart meters track consumption patterns. Automated dosing systems adjust chlorine levels dynamically, ensuring safety and compliance. These technologies enhance water management, ensuring safe, sustainable, and efficient public water supply.

Monitoring Water Quality & Quantity

The Pain

  • Here are five key pain points municipalities face in supplying drinking water to households:
  • 1. Water Leakage and Losses – Aging infrastructure, pipeline leaks, and unauthorized consumption lead to non-revenue water (NRW), increasing costs and reducing supply efficiency.
  • 2. Inconsistent Water Quality – Contaminants, fluctuating chlorine levels, and bacterial growth can compromise drinking water safety, requiring continuous monitoring and treatment.
  • 3. Demand-Supply Imbalance – Rapid urbanization, seasonal variations, and unpredictable consumption patterns create challenges in maintaining a steady supply.
  • 4. Operational Inefficiencies – Manual meter readings, billing errors, and inefficient distribution networks result in financial losses and administrative burdens.
  • 5. Lack of Real-Time Monitoring – Limited data on pipeline pressure, reservoir levels, and consumption patterns make it difficult to detect faults, optimize supply, and prevent service disruptions.

The Solution

  • Real-Time Leak Detection & Prevention - IoT sensors monitor pipeline pressure and flow rates, while AI analyzes anomalies to detect leaks and unauthorized usage in real time.
  • Predictive Maintenance for Infrastructure - AI forecasts pipeline failures, pump malfunctions, and reservoir issues, enabling proactive repairs and reducing downtime.
  • Automated Water Quality Monitoring - IoT-enabled sensors track parameters like pH, turbidity, chlorine levels, and contaminants, with AI ensuring water meets safety standards.
  • Intelligent Demand Forecasting & Distribution Optimization - AI analyzes historical consumption data, weather patterns, and demographics to balance supply and reduce water shortages by up to 25%.
  • Smart Billing & Consumer Engagement - AI-powered billing integrates with smart meters for accurate usage tracking, reduces billing disputes, and provides users with real-time consumption insights.

Benefits

  • Reduction in Non-Revenue Water (NRW) Losses - Reduced water losses by 20-30%.
  • Improved Water Quality - Reduced waterborne disease risks by up to 40%.
  • Optimized Demand-Supply Management - Reducing supply gaps and improving efficiency by 15-25%.
  • Reducing O&M Costs - Reduced O&M costs by 12-15%.