Design and implementation of ESP32 modules in the textile industry

Abstract

This article describes the design and implementation of ESP32 modules in the textile industry as an innovative alternative to improve efficiency, sustainability, and process control. In a resource-intensive sector, the integration of IoT technologies enables remote supervision and real-time monitoring of variables such as temperature and pollutant emissions. The ESP32-WROOM-32D board was used due to its low cost, versatility, and WiFi/Bluetooth connectivity, along with sensors such as a type K thermistor for temperature measurement and an MQ-7 sensor for detecting carbon monoxide (CO). Tests were conducted in the laboratories of the National University of Juliaca, demonstrating that the temperature sensor provides faster and more accurate readings than traditional thermometers. The MQ-7 sensor recorded CO emissions during the combustion of acrylic fibers, demonstrating its usefulness for monitoring environmental pollution. The system includes a CPIO expansion board and the MAX6675 transmitter, which converts analog signals to digital, facilitating the connection with the ESP32. The programming was done using the Arduino IDE, employing specific libraries for each sensor. The results show that the ESP32 can be applied not only to textile machinery but also to smart garments, enabling real-time monitoring of usage conditions. The research concludes that the ESP32 is a viable, scalable, and versatile tool for textile automation, with applications in design, garment manufacturing, and environmental control.