Digital Twin Framework for Energy Efficient Greenhouse Industry 4.0

AbstractDigital Twin (DT) technology is an essential technology related to the Industry 4.0. In engineering education, it is important that the curricula are kept up-to-date. By adopting new digital technologies, such as DT, we can provide new knowledge for students, teachers, and companies. The main aim of this research was to create a course concept to research benefits and barriers of DT technology in engineering education. The research confirmed earlier findings concerning digitalization in engineering education. DT technology can increase motivation for studying and improve learning when applied correctly.

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Robot Digital Twin towards Industry 4.0

IFAC-PapersOnLine ◽

10.1016/j.ifacol.2020.12.2815 ◽

2020 ◽

Vol 53 (2) ◽

pp. 10867-10872

Author(s):

Luige Vlădăreanu ◽

Alexandru I. Gal ◽

Octavian D. Melinte ◽

Victor Vlădăreanu ◽

Mihaiela Iliescu ◽

...

Keyword(s):

Industry 4.0 ◽

Digital Twin

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Digital Twins: Review and Challenges

Journal of Computing and Information Science in Engineering ◽

10.1115/1.4050244 ◽

2021 ◽

Vol 21 (3) ◽

Author(s):

Maria G. Juarez ◽

Vicente J. Botti ◽

Adriana S. Giret

Keyword(s):

Computer Science ◽

Industry 4.0 ◽

Multi Agent System ◽

Agent System ◽

Digital Twin ◽

Digital Twins ◽

Science Approach ◽

Multi Agent ◽

Current Operating

Abstract With the arises of Industry 4.0, numerous concepts have emerged; one of the main concepts is the digital twin (DT). DT is being widely used nowadays, however, as there are several uses in the existing literature; the understanding of the concept and its functioning can be diffuse. The main goal of this paper is to provide a review of the existing literature to clarify the concept, operation, and main characteristics of DT, to introduce the most current operating, communication, and usage trends related to this technology, and to present the performance of the synergy between DT and multi-agent system (MAS) technologies through a computer science approach.

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Model Quality Assessment Method Based on Support Vector Machine

Pomiary Automatyka Robotyka ◽

10.14313/par_239/35 ◽

2021 ◽

Vol 25 (1) ◽

pp. 35-39

Author(s):

Łukasz Glodek ◽

Szymon Bysko ◽

Witold Nocoń

Keyword(s):

Support Vector Machine ◽

Quality Assessment ◽

Industry 4.0 ◽

Assessment Method ◽

Support Vector ◽

Model Quality ◽

Digital Twin ◽

Model Quality Assessment ◽

Virtual Commissioning ◽

Quality Assessment Method

This paper proposes a model quality assessment method based on Support Vector Machine, which can be used to develop a digital twin. This work is strongly connected with Industry 4.0, in which the main idea is to integrate machines, devices, systems, and IT. One of the goals of Industry 4.0 is to introduce flexible assortment changes. Virtual commissioning can be used to create a simulation model of a plant or conduct training for maintenance engineers. On a branch of virtual commissioning is a digital twin. The digital twin is a virtual representation of a plant or a device. Thanks to the digital twin, different scenarios can be analyzed to make the testing process less complicated and less time-consuming. The goal of this work is to propose a coefficient that will take into account expert knowledge and methods used for model quality assessment (such as Normalized Root Mean Square Error – NRMSE, Maximum Error – ME). NRMSE and ME methods are commonly used for this purpose, but they have not been used simultaneously so far. Each of them takes into consideration another aspect of a model. The coefficient allows deciding whether the model can be used for digital twin appliances. Such an attitude introduces the ability to test models automatically or in a semi-automatic way.

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