Rancang Bangun Modul Akuisisi Data Getaran, Suhu, Suara, dan RPM Berbasis Transmisi Seluler 2G Tanpa Gateway untuk Monitoring Real-Time Motor Tiga Fasa

Abstract

Industrial machine reliability is a cornerstone of productivity in Industry 4.0, where induction motor failure often leads to significant unplanned downtime. This research aims to develop and evaluate SIGIIO (System for Industrial Grievance Investigation through Industrial Observation), an integrated portable device for real-time condition monitoring of three-phase industrial motors. The device utilizes an ESP32-S3 microcontroller to acquire data from four critical parameters: temperature (RTD PT100), rotation speed (E180-D80NK), vibration (GY-521), and acoustic signals (INMP441). Unlike conventional systems, SIGIIO implements a gateway-less architecture using a 2G cellular network via SIM900A for direct-to-cloud transmission. Sensor validation tests showed average errors of 6.48% for temperature and 5.04% for RPM, along with consistent vibration and acoustic data acquisition stored on an SD Card. Operational testing demonstrated a battery life of 5 hours and 40 minutes and an average data latency of 2 seconds. The results indicate that SIGIIO is an effective, portable, and cost-efficient solution for early fault detection. In conclusion, the device provides a reliable tool to support predictive maintenance strategies in smart manufacturing environments.