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- Machinery retrofiting for industry 4.0Publication . Torres, Pedro; Dionísio, Rogério Pais; Malhão, Sérgio; Neto, Luís; Gonçalves, GilThe paper presents an approach for the retrofitting of industrial looms on the shop floor of a textile industry. This is a real case study, where there was a need to update the equipment, providing the machines with communication features aligned with the concept of Industry 4.0. The work was developed within the scope of the research project PRODUTECH-SIF: Solutions for the Industry of the Future. Temperature, Inductive, Acoustic and 3-axis Accelerometers sensors were installed in different parts of the machines for monitorization. Data acquisition and processing is done by a SmarBox developed on a cRIO 9040 from National Instruments. A SmartBox processes data from one to four looms, allowing these old machines to have communication capacity and to be monitored remotely through the factory plant’s MES/ERP. Communication can be done through the OPC UA or MQTT architecture, both protocols aligned with the new trends for industrial communications. The sensor data will be used to feed production and manufacturing KPIs and for predictive maintenance. The approach presented in this paper allows industries with legacy equipment to renew and adapt to new market trends, improving productivity rates and reduced maintenance costs.
- Efficient integration of industry 4.0 technologies in mobile industrial and forestry machines fleet management: Challenges, opportunities, and environmental impactsPublication . Torres, Pedro; Vilela, Francisco; Spencer, Geoffrey; Neto, LuísAs industries embrace the transformative wave of Industry 4.0, the integration of advanced technologies into mobile industrial and forestry machines becomes pivotal for efficient fleet management. This paper explores the challenges and opportunities associated with the incorporation of Industry 4.0 technologies in Mobile machines, focusing on their mobility and applicability in forestry operations. The study delves into the utilization of sensors, remote monitoring, and machine-to-machine communication for real-time data collection and enhanced fleet coordination. Moreover, the paper evaluates the environmental impacts, emphasizing how Industry 4.0 implementation can contribute to sustainability by reducing fuel consumption, minimizing pollutant emissions, and optimizing natural resource utilization. By addressing these aspects, this research offers insights into the intricate interplay between Industry 4.0 technologies and mobile industrial and forestry machines, highlighting the potential for enhanced efficiency, productivity, and environmental responsibility in fleet management. The main goal is to demonstrate the feasibility of leveraging Industry 4.0 principles to enhance the performance of forestry machinery while concurrently reducing ecological footprint.