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https://github.com/sarwanshah/development-of-a-water-flow-metering-system-2021

(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.
https://github.com/sarwanshah/development-of-a-water-flow-metering-system-2021

attiny85 c design-thinking embedded-systems esp8266 funded-project interdisciplinary microcontroller publication real-time-clock research-paper research-project

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(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.

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# Summary

(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.

# Design and Implementation of Smart Flowmeter for Urban Water Metering

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/

**Publication: https://github.com/SarwanShah/HU_2021_Development-of-a-Water-Flow-Metering-System/blob/main/Publication%20-%20Design%20and%20Implementation%20of%20Smart%20Flowmeter%20for%20Urban%20Water%20Metering.pdf**

## Abstract

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 architecture 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

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