(Published IEEE IECON 2022) Engaged in interdisciplinary research on a government-funded project to study water demand and designed an IoT-enabled cost and energy efficient water flow measurement device. Developed power-optimized WiFi and GPRS-based prototypes delivering 45 days of operation on battery and achieving 97.3% flow measurement accuracy.
This project was developed while working as a Research Assistant at Habib University from Spring 2020 to Fall 2021 as a part of an HEC funded (Higher Education Commission) interdisciplinary faculty research, Improving Urban Wat Management to study water demand in Karachi. More information: https://karachiwaterproject.com/
Mismanagement of water resources is one of the most pressing issues in developing countries like Pakistan. With the burgeoning population growth and migration to urban spaces for economic opportunities, freshwater resources are becoming highly stressed and polluted. In this paper, we present the design of a cost effective low power flowmeter with embedded intelligence and remote telemetry for urban residential water metering applications. The study provides fundamental archi�tecture of water metering IoT node and necessary details of implementation. Results of the study are presented in terms of power consumption, accuracy and reliability of device in lab and in field setting. The proposed system could assist developing cities in estimating realistic water demand and creating sustainable socio-political urban water policies at the decision-making level. Index Terms—Systems Integration, Instrumentation, Smart metering, Urban water metering, Low power systems, ICT enabling smart cities, Sensors