Using the data collected by IoT water sensors in transmission and distribution networks as well as the assets and pumping stations, the water supply chain receives key insights into the changing conditions of water resources and equipment and can take data-driven corrective measures on demand. This module provides an unified visibility on the network, its assets and asset health. This system has:

• Operational Insights: This module brings in all the data (like SCADA, business, spatial and non-spatial data) from different sources in near real-time into the system.
• Critical Assets: By leveraging IoT devices, the system should integrate critical assets and their operational information.
• Optimal Optimization Operations: This module should help users in efficiently operating the distribution network by leveraging AI algorithms.
• Stimulations: This module should run different what if scenarios for the various data available.
• Track: This module should track various KPI’s in near real-time to efficiently distribute water to the consumers.
• Digitize and create a GIS layer to visualize the complete distribution network.
• Near real-time distribution visualization with sensors and pipe pressure information.
• Real-time monitoring of asset condition for preventive maintenance. With advanced sensing technologies, data on pipeline conditions will be used to develop a risk-based model for pipe replacement projects.
• Real-time pressure monitoring to enhance planning and network operations.
• Leakage and stress in pipes can be detected early so that actions can be taken to mitigate the risk of pipe bursts or sewage outflow.
• Visualizing real-time pumping activities and understand the power cost utilization by the network.