Rural water supply meets advanced data analytics, machine learning and artificial intelligence
Principal Investigator
Prof. Sridharakumar Narasimhan
Objective
- In the identified village/peri-urban area, we will retrofit existing pumps with pump control panels, install sensors, install actuators in key locations in the water distribution network and solar panels for powering the sensors and actuators.
Description
- Currently the water network in all rural and peri-urban areas is manually operated by operators with no feedback on the water pumped, delivered or water level in the OHTs/sumps or power consumption. This results in overflow in the OHTs due to inequity in supply, improper operation of pumps, increased power consumption, unsatisfactory service levels and pump failures due to dry run, leaks and unauthorized withdrawal. The proposed project for monitoring and control of water networks will address the above mentioned issues.
Impact
- The pumping operations including running hours of the pump, exact quantum of water pumped and supplied by the respective village operator can be determined and made available in a transparent manner to all stakeholders., Energy consumption in the pumping operation can be determined and optimized in order to reduce the operating expenses., At the national level, the guidelines for new projects under the Jal Jeevan Mission also mandate sensing, monitoring and control., We can leverage the technology and the learnings of this project to develop more cost effective solutions that can be replicated at larger scale.
Budget in Lakhs
50.00