AN IOT-INTEGRATED APPROACH FOR REAL-TIME MONITORING AND CONTROL OF AIR COMPRESSOR SYSTEMS

Abstrak

This research focuses on the design, implementation, and evaluation of an Internet of Things (IoT)-based air compressor monitoring and control system deployed in the automotive workshop of UPT PKPTK, West Kalimantan Province. The proposed system enables real-time monitoring of key compressor operational parameters, including air pressure, voltage, current, electrical power, and operating duration. Data are presented locally through an LCD interface and remotely via the Adafruit IO platform. Experimental findings reveal that the voltage, current, and pressure sensors produce minimal measurement deviations when compared with standard instruments. The low Mean Square Error (MSE) and Root Mean Square Error (RMSE) values confirm the stability and reliability of the sensors for operational monitoring purposes. During starting current testing, a substantial inrush current was recorded, ranging between 15.10 and 34.2 A per phase, whereas the steady-state operating current was observed between 7 and 8 A. Variations in current among phases R, S, and T at startup were attributed to imbalance in motor winding impedance. Performance tests using different pneumatic tools demonstrate that load variations significantly influence power consumption, with operating pressure maintained between 8 and 9.9 kg/cm² in compliance with the pressure switch specifications. The implemented protection mechanism effectively mitigates overpressure conditions by automatically disconnecting the compressor supply via a solid-state relay (SSR). Additionally, the system can detect air leakage through pressure drop analysis and respond with automatic alerts and power cutoff. Overall, the developed system contributes to enhanced energy efficiency and improved occupational safety in automotive workshop environments.