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

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. Detection of adulteration in petroleum fuels (gasoline and diesel) is challenging because the adulterants usually include those compounds which are already present in these fuels. Now a days, a huge number of consumers are facing the fuel adulteration threat. Adulterants are added to these base fuels with other inexpensive hydrocarbons containing more or less similar compositions leading to modifying and degrading the base fuel quality. These adulterants are added by the business vendors for their monetary profits. Sensing such adulterants in fuels is a principal task in the interest of the end 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