Abstract
Think of a sewing machine sending data to the cloud, which technicians monitor at machine manufacturing companies, who then use that information to predict maintenance issues and prevent failures before it happens. This is the evolution of apparel fabrication to Industry 4.0. However, it is unclear how to connect the Internet of Things (IoT) devices with machines for clothing, especially in low-income countries where there is a lot of old and used machinery. Here, a low-cost real-time monitoring application for apparel manufacturing purposes is presented. The system is based on the IoT platform ESP8266 NodeMCU and Google Sheets, and it is used to monitoring the variables: motor temperature, needle bar vibration, and foot pedal force. Expert and beginner operators tested the system while manufacturing an item of unique clothing. The acquired information can be used to develop a predictive maintenance strategy and planning of repairing activities of the machinery. Finally, the data also can be used for qualitative and quantitative production analysis.
I. Jumbo-Jaramillo—Independent Researcher.
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Lara, P., Vaca, X., Jumbo-Jaramillo, I. (2023). On-line Monitoring Application for Apparel Manufacturing Purposes: A Low-Cost IoT Approach. In: Zambrano Vizuete, M., Botto-Tobar, M., Diaz Cadena, A., Zambrano Vizuete, A. (eds) I+D for Smart Cities and Industry. RITAM 2021. Lecture Notes in Networks and Systems, vol 512. Springer, Cham. https://doi.org/10.1007/978-3-031-11295-9_2
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DOI: https://doi.org/10.1007/978-3-031-11295-9_2
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