IOT/GSM MONITORING AND POLLUTANT DETECTION OF HEAVY EQUIPMENT FUEL SYSTEM

Abstract

This thesis presents an automation system that can be used in the monitoring process of diesel fuel, especially fuel from the beginning to heavy equipment with a tiered transportation process. This can cause pollutants found in fuels, especially biodiesel / biofuel because of its solvency and hydroscopic properties that make it easy to absorb water to form mud and gel. Fuel available in heavy equipment sometimes has many impurities due to complex distribution. The study began by scanning the properties of fuel ranging from B0 to B30 compared to Water with a Moisture sensor scanner and measuring pollutants using TDS sensors on clean B0, clean B30 and B100 compared to dirty fuel taken from a real job site. By using Arduino Mega, SIM 800, Nextion LCD, Relay, power supply, Buzzer it can be used to create an automatic system that can activate pumps and valves so that automatically if there are pollutants and water can be monitored, with the blynk IoT application fuel conditions can be monitored online. Furthermore, if water or pollutants are contained in the fuel, then the developed tool can suck up using a valve and proceed to the filtering process with a filter to hold the pollutant and return the fuel again to the tank, if there is water on detection from the sensor, then the pump sucks water then continues to be accommodated to the reservoir. With IoT, every sensing activity in the fuel tank whether there is water or there is pollutant can be monitored in real time using the blink application. For commercial implementation, a robust design with powerful sensors and actuator is needed and in accordance with the operational conditions of the fuel tank.