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- On the development of a component model for the realization of Industry 4.0Publication . Neto, Luís; Gonçalves, Gil; Torres, Pedro; Dionísio, Rogério PaisThe fourth industrial revolution promotes Industrial Cyber Physical Systems (ICPS) as the key to achieve smart, efficient, flexible and self-organizing production plants. In a shop floor there are heterogeneous physical and logical assets that form the ICPS. But without proper communication and composition techniques the integration of these assets in ICPS is compromised. Component Based Software Engineering (CBSE) is a discipline of growing relevance for ICPS because integration and composition issues have been extensively researched in the software domain. Under the Reference Architecture for Industry 4.0 (RAMI 4.0), the Industry 4.0 Component Model inherits aspects of CBSE to specify how several industrial plant assets can form an ICPS. The technological aspects for physical assets digitalization and integration have been explored, but the I4.0 Component model lacks proposals and use cases for dealing with industrial software components. In this work we discuss the development of the Smart Component Model as a proposal for integration of software components in ICPS. Furthermore, we focus on how prediction and monitoring applications could be converted in I4.0 Components and integrated in ICPS. To sustain our proposals, we describe a real industrial case study where these developments are being applied.
- 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.