Virtualization of Production Using Digital Twin Technology

Halenár, Igor; Juhás, Martin; Juhásová, Bohuslava; Borkin, Dmitrii

doi:10.1109/carpathiancc.2019.8765940

Cited by 33 publications

(19 citation statements)

References 11 publications

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“…There is a wide variety of emerging technologies that allow the hybridization of the physical and digital world, which gives rise to the concept of a cyber-physical system as an object with a double existence (physical and real) [60] and another digital twin (digital and virtual) [61]. From among these, it is worth highlighting the sensors in products and processes [62], embedded systems [63], robotics and automation [63], additive manufacturing [64], artificial vision and intelligence [65], augmented and virtual reality [66], simulation and virtualization of production [65,67], connectivity of the company with the consumer [68], social networks [69,70], electronic commerce [71], cyber-security [72], advanced cloud computing [73], and digital twin and collaborative platforms [74]. Following an overview, we will proceed to establish a review and a study of the main technologies.…”

Section: Emerging Technologies In Industry 40mentioning

confidence: 99%

Standardization Framework for Sustainability from Circular Economy 4.0

et al. 2019

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The circular economy (CE) is widely known as a way to implement and achieve sustainability, mainly due to its contribution towards the separation of biological and technical nutrients under cyclic industrial metabolism. The incorporation of the principles of the CE in the links of the value chain of the various sectors of the economy strives to ensure circularity, safety, and efficiency. The framework proposed is aligned with the goals of the 2030 Agenda for Sustainable Development regarding the orientation towards the mitigation and regeneration of the metabolic rift by considering a double perspective. Firstly, it strives to conceptualize the CE as a paradigm of sustainability. Its principles are established, and its techniques and tools are organized into two frameworks oriented towards causes (cradle to cradle) and effects (life cycle assessment), and these are structured under the three pillars of sustainability, for their projection within the proposed framework. Secondly, a framework is established to facilitate the implementation of the CE with the use of standards, which constitute the requirements, tools, and indicators to control each life cycle phase, and of key enabling technologies (KETs) that add circular value 4.0 to the socio-ecological transition.

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Section: Emerging Technologies In Industry 40mentioning

confidence: 99%

Standardization Framework for Sustainability from Circular Economy 4.0

et al. 2019

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“…These technologies have also improved the quality of life for workers through remote monitoring, assistance, and vigilance. In addition, there are a wide variety of emerging technologies that allow the hybridization of the real and virtual world, such as sensors in products and processes [ 46 ], Bluetooth devices to detect parameters, wearables [ 47 ], collaborative robotics and automation [ 48 ], self-monitoring for inclusion in the work environment [ 49 ], virtual reality for employability and interviews [ 50 ], virtual training agents [ 51 ], process simulation and virtualization [ 52 ], social networks, advanced cloud computing, digital twins, and collaborative platforms. These technologies allow a symbiosis between the applications or enabling technologies in the workplace, which can be employed to assist in the development of the tasks, monitoring, and supervision of the worker in a personalized way and in the work done in real time.…”

Section: Background Of Literaturementioning

confidence: 99%

Framework for the Development of Affective and Smart Manufacturing Systems Using Sensorised Surrogate Models

Ávila-Gutiérrez

Aguayo-González

Lama-Ruiz

2021

Sensors

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Human Factor strategy and management have been affected by the incorporation of Key Enabling Technologies (KETs) of industry 4.0, whereby operator 4.0 has been configured to address the wide variety of cooperative activities and to support skills that operate in VUCA (volatile, uncertain, complex, and ambiguous) environments under the interaction with ubiquitous interfaces on real and virtual hybrid environments of cyber-physical systems. Current human Competences-Capacities that are supported by the technological enablers could result in a radically disempowered human factor. This means that in the processes of optimization and improvement of manufacturing systems from industry 4.0 to industry 5.0, it would be necessary to establish strategies for the empowerment of the human factor, which constitute symbiotic and co-evolutionary socio-technical systems through talent, sustainability, and innovation. This paper establishes a new framework for the design and development of occupational environments 5.0 for the inclusion of singularized operators 4.0, such as individuals with special capacities and talents. A case study for workers and their inclusion in employment is proposed. This model integrates intelligent and inclusive digital solutions in the current workspaces of organizations under digital transformation.

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“…A measurement is made based on the estimated value-the average optical density of the area without the measured object. Detection of the sensed object gives us qualitative information about errors from the measurement by the vision system [10]. The failed measure led us to the returning of the initial recalibration.…”

Section: Fig 7 Calibration Of the Horizontal Part (Ccd Camera 2) Of The Vision System Omron F150-3mentioning

confidence: 99%

Industrial Vision System for Object Detection

Vagaš

Galajdová

2021

TST

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The article aimed to experimentally verify and detect the coordinates of a given reference object, which will be manipulated by an industrial robotic arm, type SCARA. It was necessary to identify and locate individual objects at the automated workplace using the OMRON F150-3 visual inspection system during the process. Therefore, the ultimate goal of the assigned task is to reliably grasp the detected reference object and move on to the next technological operation. In the future, it would be appropriate to ensure reliable lighting conditions to guarantee the continuity of the automated process. The article is a publication of scientific and methodical character.

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Virtualization of Production Using Digital Twin Technology

Cited by 33 publications

References 11 publications

Standardization Framework for Sustainability from Circular Economy 4.0

Standardization Framework for Sustainability from Circular Economy 4.0

Framework for the Development of Affective and Smart Manufacturing Systems Using Sensorised Surrogate Models

Industrial Vision System for Object Detection

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