About the Client

A state-level water supply department implementing a large-scale rural water delivery program aimed at ensuring equitable and sustainable access to clean drinking water across villages. The client sought a smart water management solution to improve service reliability, asset longevity, and operational efficiency.

The Challenge

Manual operations and lack of centralized monitoring made it difficult to manage older water supply schemes effectively. Key issues included inconsistent water pressure, inefficient asset management, limited real-time visibility, and inability to respond quickly to failures or pressure drops.

Specific challenges included:

• No real-time tracking of pressure and water flow
• Manual operation of pumps and valves, leading to inefficiencies
• Poor asset visibility, including pipe conditions and equipment performance
• Lack of data-driven tools for preventive maintenance and planning
• Inadequate monitoring of groundwater and source health

The Solution

We designed and implemented a comprehensive IoT-based smart water management system to address these gaps.

Key solution components included:

• End-to-end deployment of IoT sensors to monitor pressure, flow, and consumption
• Use of specialized tools for pipeline condition assessment and instrumentation planning
• ESRI Survey123-based data collection for accuracy in asset mapping and planning
• Automated dashboards to monitor KPIs in real-time
• System architecture covering survey, design, instrumentation, installation, and analytics
• Integration with backend analytics to generate actionable insights
• Field execution supported by dedicated engineering teams for smooth commissioning

The Impact

The IoT-based system helped improve transparency, efficiency, and equity across the water distribution network:

• Real-time visibility into water delivery performance and asset health
• Improved operational efficiency through automation and monitoring
• More equitable access by tracking pressure and flow across habitations
• Faster response times and better service continuity
• Data-driven planning for scheme redesigns and infrastructure upgrades
• Reduced cost of operations and extended life of water infrastructure
• Improved sustainability through monitoring of source reliability and groundwater levels