DEVELOPMENT OF A FUEL ADULTERATION DETECTION SYSTEM USING IoT BASED SENSOR TECHNIQUE

Abstract

Fuel is very important in our everyday activities, it has been used in companies, industries, organizations and automobiles. It also serves as a means for generating electricity. Adulteration of petroleum products is hard to detect because the existing components of the fuel constitute the adulterants. The adulterants alongside other cheap hydrocarbons are mixed with the base fuel to degrade its quality and for the monetary benefits of the business vendors. This makes the adulterated fuel to pose a very serious danger to the consumers. This research project developed an IoT-based fuel adulteration detection system using a weight sensor-based technique. The IoT-based system helps to notify and give information about the fuel adulteration to the user immediately on a registered website called thingspeak. The average detection accuracy and response time of the system are 96.37% and 1.34 seconds respectively. These results emphasize the crucial function of adulteration detection system in fuels, as it detects adulteration of liquids effectively and accurately for automobile users and thereby reducing the risk of adulteration in fuels.