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2024 Low-Cost Digital Solutions for industrial automation, LoDiSA 2024

作者： Bär, Martín Alejandro Colombo, Armando Walter Institute for Industrial Informatics Automation and Robotics University of Applied Sciences Emden/Leer Emden Germany

ISBN: (纸本)9781837242672

Within the context of the Industry 4.0 and Smart Manufacturing, digitalized Assets of digital Ecosystems should be discovered by others Assets and communicate with each other through message passing. This will allow to create systems that enable distributed decision-making processes. Such systems are empowered by Low-Cost devices as processing and communication units, saving resources by atomizing functionalities and improving distributed systems to make them efficient and flexible. According to the Industry 4.0, Assets are represented in the digital world and its networks by the Asset Administration Shell (AAS). The AAS is utilized as the standardized form to expose Assets functionalities in form of services to be discovered and consumed by other Assets. When services are discovered, the orchestration of services with its service composition, comes into the picture enabling the decision-making processes within industrial environments. In this work, the authors are presenting a novel innovative service collector solution for supporting dynamic orchestration of services in an Industry 4.0 and Asset Administration Shell compliant digitalization infrastructure. On the basis of previous related works, an improved service discovery algorithm based on the Simple Service Discovery Protocol (SSDP) and Web-services that retrieves functionalities of Assets through embedded AAS deployed in a passive manner, two solutions to interact with discovered services are proposed in this paper. In the first solution, an Open-source Messenger Bot for user interaction is deployed on a Single-Board Computer allowing the execution of the following tasks: (i) service discovery algorithm, (ii) Hardware I/O interaction, (iii) calculations and graphs considering cloud datasets, (iv) interaction with cloud-based AAS, (v) email messages based on the results of the service discovery algorithm and, (vi) triggering of events to initiate the execution of message-based interactions between different d

关键词： Costs

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Industry 4.0-compliant Digitalization of a Re-configurable and Flexible Laser Cutter Module within a Digital Factory

Industry 4.0-compliant Digitalization of a Re-configurable a...

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2023 IEEE International Conference on industrial Technology, ICIT 2023

作者： Kanaan, Khedr Wermann, Jeffrey Bar, Martin Alejandro Colombo, Armando Walter Institute for Industrial Informatics Automation and Robotics Hochschule Emden/Leer Emden Germany

ISBN: (纸本)9798350336504

Following the requirements of the digital transfor-mation that is going on in different areas of the economy, e.g. industrial manufacturing and processes, transportation, logistics, energy infrastructure, etc., components and systems in the current industrial eco-systems are being migrated into an Industry 4.0-compliant digitalized and networked (Internet-!Ethernet-based) infrastructure, by transforming the traditional physical components and systems into cyber-physical systems (CPS). One essential foundational reference for supporting that dig-italization/migration process is given by the DIN Specification 91345 'Reference Architecture Model for Industry 4.0 (RAMI 4.0), complemented by the Asset Administration Shell (AAS) technology. Positioned within this 3D-Cyber-Physical-System-Model, assets are possessing both physical, as well as cyber-parts that allow them (i) to be networked and exchange digitalized data and information using Service-oriented Architecture (SoA) principles, and (ii) negotiate business applications applying e.g. bidding approaches according to the norm VDI/VDE 2931. In this paper, the authors describe the major technical spec-ifications and the results of the prototype implementation of an Industry 4.0-compliant digitalization of a Laser Cutter Module that is part of a reconfigurable and flexible manufacturing infrastructure located in the Digital Factory of the institute for industrial informatics, automation and robotics (I2AR) of the University of Applied Sciences Emden/Leer, Germany. © 2023 IEEE.

关键词： Industry 4.0

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Industry 4.0-compliant Asset Administration Shell Service Collector using Single-Board Computers

Industry 4.0-compliant Asset Administration Shell Service Co...

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2023 Low-Cost Digital Solutions for industrial automation, LoDiSA 2023

作者： Bär, Martín Alejandro Colombo, Armando Walter Institute for Industrial Informatics Automation and Robotics University of Applied Sciences Emden/Leer Emden Germany

Industry 4.0-compliant digitalization is intensively penetrating the industrial Eco-system, bringing its benefits by generating or improving new complementary functionalities and associated business, providing a feasible way to interconnect stakeholders within the value chain and supply-chain, as well as along the product and system's Life-Cycle, which can share digitalized data and information in form of Added-value Services. To facilitate perform those businesses, Industry 4.0-compliant service-oriented infrastructures are required. Functionalities and associated data and information can be provided/exposed and/or consumed as services by systems of Cyber-physical things. In the language of Industry 4.0, those physical things are identified as"Assets". Each physical"Asset" has associated a Cyber-part, the so called Asset Administration Shell (AAS), which contains a set of digitalized Data/Information/Function-Models, i.e., Digital Twins, and responsible for supporting an Industry 4.0-compliant communication/networking of the digitalized Asset. The AAS is fully responsible for the provision, exposition, consumption, composition, orchestration of services. The broad adoption of the AAS in a digitalized industrial environment is mainly depending on the costs of the digitalization-migration-process, which needs to respond to a set of functional and technical requirements. Among others, requirements for using Low-Cost technologies supporting the implementation of AAS with low energy consumption, efficiency and flexibility, should essentially be fulfilled. In this scenario, the authors present a service-collector of AAS that is implemented in commercial low-cost technology and deployed in a common Industry 4.0-compliant network, using REST-API and and OPC UA based infrastructure. The paper describes also the corresponding algorithm to perform the service-collection, based on the Python programming language, which is finally deployed and executed by a Single-Board Compute

关键词： Life cycle

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Industry 4.0-compliant Digitalization of a Re-configurable and Flexible Laser Cutter Module within a Digital Factory

Industry 4.0-compliant Digitalization of a Re-configurable a...

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IEEE International Conference on industrial Technology (ICIT)

作者： Khedr Kanaan Jeffrey Wermann Martín Alejandro Bär Armando Walter Colombo Institute for Industrial Informatics Automation and Robotics Hochschule Emden/Leer Emden Germany

Following the requirements of the digital transfor-mation that is going on in different areas of the economy, e.g. industrial manufacturing and processes, transportation, logistics, energy infrastructure, etc., components and systems in the current industrial eco-systems are being migrated into an Industry 4.0-compliant digitalized and networked (Internet-!Ethernet-based) infrastructure, by transforming the traditional physical components and systems into cyber-physical systems (CPS). One essential foundational reference for supporting that dig-italization/migration process is given by the DIN Specification 91345 “Reference Architecture Model for Industry 4.0 (RAMI 4.0), complemented by the Asset Administration Shell (AAS) technology. Positioned within this 3D-Cyber-Physical-System-Model, assets are possessing both physical, as well as cyber-parts that allow them (i) to be networked and exchange digitalized data and information using Service-oriented Architecture (SoA) principles, and (ii) negotiate business applications applying e.g. bidding approaches according to the norm VDI/VDE 2931. In this paper, the authors describe the major technical spec-ifications and the results of the prototype implementation of an Industry 4.0-compliant digitalization of a Laser Cutter Module that is part of a reconfigurable and flexible manufacturing infrastructure located in the Digital Factory of the institute for industrial informatics, automation and robotics (I2AR) of the University of Applied Sciences Emden/Leer, Germany.

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Industry 4.0-compliant asset administration shell service collector using single-board computers

Industry 4.0-compliant asset administration shell service co...

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Low-Cost Digital Solutions for industrial automation (LoDiSA 2023)

作者： M. A. Bär A. W. Colombo Institute for Industrial Informatics Automation and Robotics University of Applied Sciences Emden/Leer Emden Germany

Industry 4.0-compliant digitalization is intensively penetrating the industrial Eco-system, bringing its benefits by generating or improving new complementary functionalities and associated business, providing a feasible way to interconnect stakeholders within the value chain and supply-chain, as well as along the product and system's Life-Cycle, which can share digitalized data and information in form of Added-value Services. To facilitate perform those businesses, Industry 4.0-compliant service-oriented infrastructures are required. Functionalities and associated data and information can be provided/exposed and/or consumed as services by systems of Cyber-physical things. In the language of Industry 4.0, those physical things are identified as “Assets”. Each physical “Asset” has associated a Cyber-part, the so called Asset Administration Shell (AAS), which contains a set of digitalized Data/Information/Function-Models, i.e., Digital Twins, and responsible for supporting an Industry 4.0-compliant communication/networking of the digitalized Asset. The AAS is fully responsible for the provision, exposition, consumption, composition, orchestration of services. The broad adoption of the AAS in a digitalized industrial environment is mainly depending on the costs of the digitalization-migration-process, which needs to respond to a set of functional and technical requirements. Among others, requirements for using Low-Cost technologies supporting the implementation of AAS with low energy consumption, efficiency and flexibility, should essentially be fulfilled. In this scenario, the authors present a service-collector of AAS that is implemented in commercial low-cost technology and deployed in a common Industry 4.0-compliant network, using REST-API and and OPC UA based infrastructure. The paper describes also the corresponding algorithm to perform the service-collection, based on the Python programming language, which is finally deployed and executed by a Single-Board Compu

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USING ADAPTIVE FILTERS AND ARTIFICIAL SIGNAL FOR SPINDLE BEARING CONDITION DIAGNOSTICS 28

USING ADAPTIVE FILTERS AND ARTIFICIAL SIGNAL FOR SPINDLE BEA...

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28th International Congress on Sound and Vibration, ICSV 2022

作者： Burian, David Kolář, Petr Czech Technical University in Prague Czech Institute of Informatics Robotics and Cybernetics Department of Industrial Production and Automation Jugoslávských partyzánů 1580/3 Prague160 00 Czech Republic

ISBN: (纸本)9789811850707

The analysis of vibration signals sensed by accelerometers is currently the standard method for determining the condition of rolling bearings. In the case of machine tools, the signal obtained is often disturbed by extraneous sources masking the signal, such as frequency converters, auxiliary aggregates, etc. Cheap or improperly selected measuring equipment can also be the cause of signal distortion. It is therefore advisable to suppress interfering signals before the actual analysis. This article describes a method to identify and subsequently filter out such signals. Modified adaptive filters were used to mitigate unwanted signals. In the development of a suitable algorithm, artificial signals of slightly damaged bearing masked by white noise were used in the first stage. The modified adaptive filtering algorithms were then applied to the signals measured on a spindle with slightly damaged rolling bearing raceway. © International institute of Acoustics and Vibration (IIAV), 2022.

关键词： Adaptive filters

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An Industry 4.0-Compliant Digital Product Passport Approach for Realising Dairy Product Traceability 49

An Industry 4.0-Compliant Digital Product Passport Approach ...

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49th Annual Conference of the IEEE industrial Electronics Society, IECON 2023

作者： Bar, Martin Alejandro Colombo, Armando Walter Torres, Jose Luis Fernandez, Erica Rico, Mariela Caliusco, Maria Laura Institute for Industrial Informatics Automation and Robotics University of Applied Sciences Emden/Leer Emden Germany Ciese Research Center Utn - Fac. Reg. Santa Fe Santa Fe Argentina Industrial Engineering Utn - Fac. Reg. Rafaela - Santa Fe Santa Fe Argentina Cidisi Research Center Utn - Fac. Reg. Santa Fe Santa Fe Argentina

ISBN: (纸本)9798350331820

This paper provides an approach to create the digital thread associated to the value stream along a dairy process value chain. Identifying the different stakeholders within the dairy process, each of them is concretely positioned as provider of assets to be digitalized and networked using the Asset Administration Shell technology and this within an Eco-system formally specified by the 3D-Reference Architecture Model for Industry 4.0 (RAMI 4.0). The different sub-models of the Asset Administration Shells along the digital thread are then an essential part of the so called Digital Passport, which will be associated to different dairy products (milk powders, butter, whey, cheese, etc.). The Digital Passport is the core tool allowing all stakeholders for performing traceability of products and processes. It provides digitalized data and information, to be exposed and/or consumed as services, developed and shared in real-time by all the actors of the dairy supply chain, responding to strict dairy process business requirements. © 2023 IEEE.

关键词： Dairies

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Influence of engagement parameters on estimation of tangential cutting force using high-frequency process data of the machine tool 16

Influence of engagement parameters on estimation of tangenti...

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16th CIRP Conference on Intelligent Computation in Manufacturing Engineering, CIRP ICME 2022

作者： Rytir, Michal Rönnecke, Jonas Hänel, Albrecht Kolar, Petr Ihlenfeldt, Steffen Czech Technical University in Prague Czech Institute of Informatics Robotics and Cybernetics Department of Industrial Production and Automation Jugoslávských partyzánu 1580/3 Prague160 00 Czech Republic Fraunhofer Institute for Machine Tools and Forming Technology IWU Department of Production Digital Twin Nöthnitzer Straße 44 Dresden Germany Technische Universität Dresden Institute of Mechatronic Engineering Chair of Machine Tools Development and Adaptive Controls Dresden01062 Germany

The machining of high-value products needs advanced quality control to avoid the risk of expensive follow-up operations performed on parts with unacceptable quality. This situation requires the in-process or close to in-process control of the machining operation. The tangential cutting force is a parameter that characterizes the force interaction between the specific workpiece material and the specific tool geometry. This paper presents a method for a tangential cutting force calculation along the given tool path based on processing of the high-frequency data acquired from the machine tool control system with support of the geometric material removal model. The calculated data are compared with the reference dynamometer results. The influence of the variable engagement parameters is demonstrated and discussed from the perspective of the in-process workpiece quality control. © 2023 Elsevier B.V.. All rights reserved.

关键词： Machine tools

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Digital Twin Definition for Detecting Abnormal Perspiration Patterns in High-Stress Professions 23

Digital Twin Definition for Detecting Abnormal Perspiration ...

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23rd RoEduNet Conference: Networking in Education and Research, RoEduNet 2024

作者： Vizitiu, Cristian Turcin, Ioan Dominey, Kevin Alexander Softic, Selver Dinculescu, Adrian-Catalin Bocanet, Vlad I. Dugan, Cosmin Moraru, Sorin-Aurel The Space Applications and Technologies Laboratory Institute of Space Science-Subsidiary of INFLPR Magurele Romania Transilvania University of Brasov Faculty of Electrical Engineering and Computer Science Department of Automatics and Information Technology Brasov Romania CAMPUS 02 University of Applied Sciences Department Automation Technology Graz Austria CAMPUS 02 University of Applied Sciences Department IT and Business Informatics Graz Austria Robotics and Production Management Technical University of Cluj-Napoca Cluj-Napoca Faculty of Industrial Engineering Department of Manufacturing Engineering Romania Bucharest University Emergency Hospital Bucharest Romania

ISBN: (纸本)9798331540388

Perspiration is a physiological response in high-stress situations, that also plays a key role in thermoregulation and stress management. Understanding perspiration patterns is used for assessing physiological responses and optimizing human performance especially in professions such as emergency medical services and military operations, as well as for individuals exposed to Isolated Confined Extreme (ICE) environments such as astronauts and space analog mission participants. This paper defines a Digital Twin (DT) model, that will be integrated with an existing physical sweat simulator module (SSM) prototype. Its goal is to simulate human perspiration under high-stress conditions by integrating environmental, physiological, and psychological data. The system architecture is developed via Model-Based Systems Engineering (MBSE). The scope of the designed virtual model is to accurately reflect physical perspiration, detect abnormal perspiration patterns, and generate recommendations regarding stress countermeasures. The goal is to influence the behavioral and/or physiological state of the physical twin, thereby creating a dynamic, responsive system. Machine learning (ML) models will be used to identify patterns in the environmental, physiological, and psychological inputs and predict sweat volume, chemical composition, and regional sweat distributions across the body. ML will also be used to detect abnormal perspiration patterns based on input data. The application of generative AI for creating test data from simulation templates is anticipated to facilitate the comparative analysis of two to three distinct profiles, such as astronauts, soldiers, and paramedics or firefighters, using simulated values. The SSM, with its integrated sensors, will serve the dual purpose of validating the model and providing realistic physical simulation. © 2024 IEEE.

关键词： Physiological models

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Influence of engagement parameters on estimation of tangential cutting force using high-frequency process data of the machine tool

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Procedia CIRP 2023年 118卷 537-542页

作者： Michal Rytir Jonas Rönnecke Albrecht Hänel Petr Kolar Steffen Ihlenfeldt Czech Technical University in Prague Czech Institute of Informatics Robotics and Cybernetics Department of Industrial Production and Automation Jugoslávských partyzánů 1580/3 160 00 Prague Czech Republic Fraunhofer Institute for Machine Tools and Forming Technology IWU Department of Production Digital Twin Nöthnitzer Straße 44 Dresden Germany Technische Universität Dresden Institute of Mechatronic Engineering Chair of Machine Tools Development and Adaptive Controls 01062 Dresden Germany

关键词： In-process monitoring leakage model cutting force model spindle current edge computing

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