Monitoring Engine Oil Pressure with IoT System in Multinational Heavy Equipment Company

Abstract

Komatsu Bulldozer D85ESS-2 is inseparable from problems, including the rising heat and pressure due to the reduced lubrication and increased friction. However, operators often ignore or miss this condition which may cause heavy damage to the equipment. The objective of this research is to develop a tool that can be installed on the bulldozer that can detect changes in engine oil pressure in the engine to prevent further damage by providing information through the operator dashboard with the IOT system. ESP32 will be used with the Google Sheets application as an IoT platform to be able to send information from sensors to Google Sheets and then the data is sent to the LookerStudio to display the data to prevent damage to engine components due to the absence of lubrication. The result of the implementation shows that the pressure, temperature, and RPM sensors respectively received 2%, 1%, and 1% mean absolute errors scores with high accuracies of 98%, 99%, and 99%. T-test analyses indicate statistically significant errors from mean values between the sensor readings and reference instruments: 0.05 bar for Pressure, 0.28°C for Temperature, and 6.41 rpm for RPM. Standard deviations for sensor readings are 0.32 bar, 3.03°C, and 198 rpm, while for reference instrument readings, they are 0.3 bar, 3.15°C, and 196 rpm.