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Marking, IOT Traceability and Data Acquisition System for shopfloor of Gas Boiler Factory

Authors:
Jose Paulo Santos
Henrique Barros
Pedro Nunes

Keywords: Shop floor Data Acquisition; Industry 4.0; IoT; Traceability; MQTT.

Abstract:
Traceability and digitalisation are important in the industry because they affect the final quality of the products produced. This article seeks to find solutions that enable recording the operations carried out at each workstation during the production of a product (traceability). Typically, 2D, 3D, Radio Frequency IDentification (RFID) and vision industrial sensors are connected to industrial Programmable Logic Controllers (PLCs). These PLCs also require data communication boards to store this data in databases. The question is: can traceability be achieved using a low-cost solution for integrating industrial sensors into corporate databases? Technologies based on concepts such as the Industrial Internet of Things (IIoT) enable companies to track components in their assembly lines and acquire crucial production environment-related data. Combined with the development of data analysis algorithms, these technologies enable continuous process improvement and failure prediction. This document presents a study of various traceability technologies, data acquisition, and monitoring systems. Additionally, it details the development and implementation of a traceability solution applied to the production of gas boilers. The study incorporates IIoT technologies to record production-related data. The system’s objectives align with the company’s requirements, providing improvements to its current traceability system. Furthermore, it aims to establish a historical record for all produced gas boilers, provide tools for real-time production tracking and shop floor environment monitoring, and facilitate access to all available information. The system has a flexible structure that allows for adaptation to future improvements and future integration with commercial Enterprise Resouce Planning (ERPs) by bypassing expensive conventional automation sensors and PLCsfrom Siemens, Rockwell Automation and others. To address this problem this study proposes an “Iot Traceability Station” (IoTTS), as a first step. Other question is: How fast can the product be traced with the proposed IoTTS.

Pages: 23 to 26

Copyright: Copyright (c) IARIA, 2025

Publication date: July 6, 2025

Published in: conference

ISBN: 978-1-68558-286-9

Location: Venice, Italy

Dates: from July 6, 2025 to July 10, 2025