Design and Implementation of IoT-Based Smart Fuel Monitoring System

The fast growth of the 'Internet of Things' (IoT) has impacted on several sectors, including fuel management. This paper describes the design, fabrication, and implementation of an IoT-based smart fuel monitoring system to improve the effectiveness of using fuel resources while minimizing losses and optimizing processes. A Rasp berry Pi controller with various sensors tracks essential parameters such as fuel level, temperature, pressure, pH, and gas levels. The system also provides for processing and presenting the collected data through a mobile application and a website, making it possible to manage the system further from the users via remote control. The system was tested using two fuel types, Benzene and Diesel, and it was effective in fuel parameters management. Results established that the pressure of Benzene was reasonably constant, and it was about 14.8 psi after reaching equilibrium. In contrast, the pressure returned to 14.7 psi value for Diesel, which was its initial value. The temperature readings were constant throughout the experiment, with the benzene temperature being higher than Diesel. The system also differentiated between pH levels, keeping Benzene at 6.9 while Diesel at around 7. These results prove the capabilities and efficiency of this system in anomaly detection, fuel adulteration, and fuel theft prevention, thus solving modern solutions in fuel management.