Automated fuel adulteration detection system
Automated fuel adulteration detection system
Date
2024-06
Authors
Nagawa, Hairatu
Watera, Sheilah
Namulindwa, Madrine
Kyakoonye, Anderson
Journal Title
Journal ISSN
Volume Title
Publisher
Makerere University
Abstract
Fuel adulteration is a pressing concern globally, impacting engine performance, environmental sustainability, and consumer trust. In response, AFADS has been developed as a comprehensive solution to monitor and analyze fuel integrity. This system addresses the increasing need for reliable detection methods, particularly in regions like Uganda, where fuel quality is a growing concern. AFADS employs cutting-edge sensor technology to assess critical fuel parameters, including color, sulfur content, and aniline point, ensuring accuracy and real-time monitoring. The system architecture combines a backend infrastructure built with C programming for data processing and storage, complemented by a frontend interface developed using Flutter for intuitive user interaction. Key stakeholders, including fuel station operators, regulatory inspectors, fuel consumers, and researchers, benefit from AFADS's tailored functionalities designed to streamline fuel quality management. By facilitating data-driven decision-making and enhancing regulatory compliance, AFADS aims to mitigate the adverse effects of fuel adulteration, safeguard consumer interests, and promote sustainable energy practices. Through the implementation of AFADS, this project contributes to the broader goal of ensuring fuel purity, protecting public health, and fostering a more transparent and accountable fuel supply chain in Uganda and beyond.
Description
A project report submitted to the School of Computing and Informatics Technology for the study Leading to a project in partial fulfillment of the requirements for the award of the Degree of Bachelor of Software Engineering of Makerere University.
Keywords
Fuel Adulteration Detection System,
Embedded systems,
Mobile Application
Citation
Nagawa, H et al. (2024), Automated fuel adulteration detection system; unpublished dissertation Makerere University Kampala