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 of heavy equipment with a tiered transportation process. This may cause pollutants in fuels, especially biodiesel/biofuel because of their 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 its 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 clean B100 compared to dirty fuel taken from a real job site. Using Arduino Mega, SIM 800, Nextion LCD, Relay, power supply, and Buzzer, it can be used to create an automatic system that can activate pumps and valves automatically if there are pollutants and water can be monitored. Using Blynk IoT, fuel conditions can be monitored online. Furthermore, if water or pollutants are 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 to the tank. If there is water detected from the sensor, the pump will suck water and then continue to be accommodated in the reservoir. By using IoT, every sensing activity in the fuel tank, whether there is water or a pollutant, can be monitored in real time using Blynk. For commercial implementation, a robust design with powerful sensors and actuators is needed in accordance with the operational conditions of the fuel tank.