INDUSTRIAL IOT-BASED AUTOMATION FOR ENHANCED TEXTILE PRODUCTION EFFICIENCY

– As Industry 4.0 continues to reshape global manufacturing, intelligent automation and live data monitoring have emerged as critical enablers of operational excellence and consistent product output. Despite these advancements, a significant portion of power loom operations in the textile sector continues to depend on conventional, manual-based oversight resulting in frequent unscheduled halts, slow identification of mechanical failures, and compromised output standards. This paper presents an Industrial Internet of Things (IIoT)-based automation system designed to improve textile production through intelligent monitoring, control, and data analytics. The system utilizes a NODE MCU8266 (ESP12E) At its center, the architecture employs a NodeMCU ESP8266 (ESP-12E) module paired with vibration transducers, IR-based thread sensors, and RPM detectors to provide uninterrupted surveillance of loom-specific parameters namely rotational speed, mechanical vibration, thermal state, and yarn integrity. Sensor data is transmitted wirelessly to a cloud platform for real-time visualization and analysis. The proposed system incorporates an automated fault detection and alert mechanism that notifies operators instantly in case of abnormalities. Additionally, remote control functionality enables authorized users to operate the loom safely and efficiently from a distance.