The Indian government, supported by the Asian Development Bank (ADB), launched a Smart-City initiative “Project Uday” in 2010 to make four major cities of Madhya Pradesh: Indore, Bhopal, Gwalior, and Jabalpur model smart cities of the future. As part of this smart-city initiative, ThoughtFocus proposed an IoT-based water monitoring system for the urban water distribution for the city of Indore’s municipal water supply. The goal was to monitor the sourcing and distribution of water which accounted for a large part of the municipalities annual budget. ThoughtFocus was selected as the vendor of choice for its proprietary IoT-based platform: ACE.

Indore’s water supply not only involved the complexities of urban distribution but sourcing the water from Narmada River.  This pipeline stretched over a 72 km and averaged 100 million liters per day. Multiple pumping stations lifted the water for over 560 meters from the source before it made its way to the municipality distribution pipelines.

ACE deployed by ThoughtFocus automatically monitored the water supply in real-time at each transition, the source, each of the pumping stations, distributions hubs to the final consumer. Over 60 water storage bodies across the city were also automatically monitored.

IndoreIoTSolution

Due to inhospitable terrain, last mile data collection was very challenging. ThoughtFocus used a combination of traditional wired bus topology, low range RF, and wireless LAN to collect data from pumps. Within 30 days of purchase order issue, the solution was implemented including the installation of data collection units, field testing of meters and commissioning the entire cloud-based server system.

The results were astounding, ACE measured, monitored and analyzed, water consumption with accuracy +/- 0.3%.  All of the data generated is stored in the cloud on a Big-Data platform. A big-data analytics engine provides real-time dashboards that provide actionable information to the field officers.

As a result of real-time monitoring, numerous inefficiencies were discovered in the pumping system, including the detection of leakage and pilferage that could be acted upon.

The solution continues to collect vast amounts of data in energy usage of the pumps, water usage, and patterns of water consumption. The analytics from the collected data is proving to be incredibly useful in optimizing the pumps and the water distribution. It gives invaluable data to the Indore municipality to plan for its water resources.

According to the chief engineer at the Indore Water board, “this is a big step for urban infrastructure and municipal bodies in the direction of sustainable water resource management and conservation. We have achieved results far beyond what we had anticipated. Just the efficiencies the project enabled, paid for itself manifold over. The troves of data we are now collecting on water usage patterns are where the real treasure is. That will be invaluable for our city planning. I am confident many more cities will follow our lead.