Smart Water Management System

Project Background & Personal Journey

This project was motivated by the growing challenges in managing water resources efficiently, especially water loss caused by undetected leaks, poor monitoring, and delayed response. Existing systems often depend on manual checks and lack real-time visibility, which leads to excessive wastage and slow maintenance.

During this project, I explored how sensor data, automation, and mobile applications can work together to improve water management. I focused on designing an application that clearly presents critical information such as water flow status, leak alerts, GPS-based locations, and water quality readings.

This journey helped me move beyond just building a system to thinking about usability, clarity, and real-world impact. It strengthened my ability to translate engineering concepts into meaningful user experiences and deepened my interest in designing solutions that solve practical problems while contributing to sustainability and public welfare.

Problem

Water distribution systems suffer from significant water loss due to undetected leaks, delayed response, and inefficient monitoring. Most existing systems rely on manual intervention and lack real-time visibility of water flow, quality, and fault location. Poor communication between users and authorities further delays repairs, leading to water wastage, service interruptions, and increased maintenance challenges.

Research

Smart Water Management App is designed based on an Arduino-powered system that monitors real-time water flow, detects pipeline leaks, tracks water quality using a TDS sensor, and identifies leak locations through GPS. The app notifies municipal officers instantly, allows remote motor control to stop water flow during leaks, and enables users to register and track complaints, helping reduce water loss and improve efficient water distribution.

User Survey

The user survey focused on understanding challenges faced by residents and authorities in managing water supply systems. Most users reported frequent water leakage issues, delayed repairs, and difficulty in informing authorities about problems. They also expressed concern over water quality and the lack of transparency in knowing supply status.

Authorities highlighted challenges in locating leaks accurately and responding quickly due to missing real-time data. Both groups emphasized the need for a simple mobile application that provides real-time alerts, leak location details, water quality information, and a clear complaint-tracking system.

Survey Overview

Key Survey Findings

User Insights

Key Takeaways

Card Sorting & Affinity Mapping

To better understand how users interact with water management systems, I conducted card sorting and affinity mapping exercises. These activities helped identify how users group features such as monitoring, alerts, reporting, and control, along with the challenges they face in managing water usage and detecting issues.

The findings ensured intuitive navigation, logical categorization, and a streamlined user flow, reducing confusion and aligning the system design with real user needs, behaviors, and expectations.

Meet the Users: Personas, Task Flows, Journeys

In preparation for designing the Smart Water Management System, I explored real-life scenarios by interacting with users who directly deal with water usage and management challenges. This included discussions with residents and guidance from my project mentor, which helped me understand both user-level and system-level perspectives.

These insights allowed me to create meaningful personas representing different stakeholders in the system. The insights I gathered helped me develop 3 personas:

Data Collection

The system collects real-time data from multiple sensors integrated with the Arduino controller. Flow sensors continuously measure inlet and outlet water flow to detect leaks, while the TDS sensor monitors water quality levels.

A GPS module captures the exact location of detected issues. This sensor data is transmitted via a Wi-Fi module to the cloud and mobile application, where it is stored and displayed for users and municipal authorities.

The collected data supports real-time monitoring, alert generation, complaint tracking, and analysis of water usage patterns for better decision-making.

Design Decisions

Real-time alerts: Prioritized to ensure immediate notification during water leakage or abnormal flow conditions, helping authorities take quick action and reduce water wastage.

Highlighted key metrics on the dashboard: Critical data such as inlet-outlet flow values, leak status, TDS levels, and motor status were highlighted for quick understanding without cognitive overload.

Simple motor control & status indicators: Motor ON/OFF controls were kept simple to avoid confusion during emergency situations and enable fast, error-free decision-making.

Solution Overview

The solution is a Smart Water Management system that combines an Arduino-based hardware setup with a user-friendly mobile application. Flow sensors continuously monitor inlet and outlet water flow to detect leaks, while a TDS sensor tracks water quality in real time. When abnormal conditions are detected, the system automatically stops the water motor and sends instant alerts to the app.

GPS integration provides the exact location of the issue, enabling faster maintenance. The app also allows users to raise complaints and authorities to remotely control the motor, creating an efficient, centralized solution to reduce water wastage and improve response time.

Usability Testing

Usability testing was conducted using an interactive prototype. Users were asked to perform key tasks such as checking leak status, viewing water quality data, locating issues on the map, and controlling the motor. The testing showed that users could easily understand the dashboard and complete tasks with minimal guidance.

Feedback helped refine icon clarity, improve status labels, and simplify navigation. These iterations ensured the app remains intuitive, efficient, and easy to use for both users and authorities.