Loading...
6 results
Search Results
Now showing 1 - 6 of 6
- Cyber-physical production systems supported by intelligent devices (smartboxes) for industrial processes digitalizationPublication . Torres, Pedro; Dionísio, Rogério; Malhão, Sérgio; Neto, Luis; Ferreira, Ricardo; Gouveia, Helena; Castro, Helderndustry 4.0 paradigm is a reality in the digitization of industrial processes and physical assets, as well as their integration into digital ecosystems with several suppliers of the value chain. In particular, Industry 4.0 is the technological evolution of embedded systems applied to Cyber-Physical Systems (CPSs). With this, a shift from the current paradigm of centralization to a more decentralized production, supported by Industrial Internet of Things (IIoT), is implied. The work reported in this paper focuses on the development of smart devices (SmartBoxes), based on low-cost hardware such as Raspberry Pi and also platforms certified for industrial applications, such as NI CompactRIO. Both platforms adopted the OPC-UA architecture to collect data from the shop-floor and convert it into OPC-UA Data Access standard for further integration in the proposed CPPS. Tests were also performed with the MQTT protocol for monitorization. Each SmartBox is capable of real-time applications that run on OPC-UA and MQTT, allowing easy interaction between supervisory systems and physical assets.
- 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.
- Digital twin environment for Forestry 4.0 application using a CAN Bus architecturePublication . Spencer, Geoffrey; Dionísio, Rogério Pais; Neto, Luis; Torres, Pedro; Gonçalves, GilThis paper presents a digital twin demonstrator of a forest harvesters and wood processing machines. The demonstrator is a cyber-physical system that allow the emulation and identification of faults that may occur during regular machine operations. The proposed solution includes a CAN Bus communication between several electronic controller units connected to sensors and actuators.
- 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.
- An industry 4.0 self description information model for software components contained in the administration shellPublication . Neto, Luís; Gonçalves, Gil; Torres, Pedro; Dionísio, Rogério Pais; Malhão, SérgioIndustry 4.0 is the movement towards a fourth industrial revolution that will consist in the digitization and integration of all value chain. In Europe, this movement is led by the German RAMI 4.0 (Reference Architecture for Industry 4.0) proposal, which is attracting a lot of attention from industry, academia and other practitioners. Under the RAMI 4.0 scope there is an Administration Shell proposal to abstract physical and logical assets in a standardized way. Once abstracted, assets become Industry 4.0 Components and can be fully integrated in the Cyber Physical Production System or value chain. This work focuses on the utilization of software components within the Administration Shell. There is a necessity to represent software components and their relation to industrial asset. Therefore, control and monitoring applications involving software components and other assets can be represented in compliance with the I4.0 Component Model. To address this necessity the Smart Object Self Description information model is proposed and applied to a real case study scenario.
- 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.