Wyniki wyszukiwania - BazTech

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Application of 3D scanning for the creation of 3d models suitable for immersive virtual reality

Matys Marian, Krajčovič Martin, Gabajová Gabriela

Zarządzanie Przedsiębiorstwem

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2023

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Vol. 26, nr 1

12--18

EN

Finding a suitable method of 3D model creation for a specific task is becoming more important with the rapid spread of digitalization. This paper deals with the use of 3D scanning as a method of creating 3D models for immersive virtual reality applications. A methodology is presented that covers all the steps, from initial object selection to importing a scanned 3D model into a virtual reality environment. Various objects were selected and scanned to test this methodology and its utilization potential. Finally, the paper evaluates the potential utilization of this methodology for immersive virtual reality applications for education and various methods of industrial engineering.

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Using the Ella platform to create virtual training

Matys Marián, Michulek Tomáš, Máchová Mariana, Dulina Ĺuboslav, Gabajová Gabriela

Zarządzanie Przedsiębiorstwem

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2022

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Vol. 25, nr 3-4

27--34

EN

The article describes the Ella platform used as a tool for creating virtual training. The introductory part of the article presents the starting points for effective training as a tool for increasing the competitiveness of enterprises. Furthermore, the article provides examples of virtual training that has already been carried out, and Ella platform has been used in their preparation. The main part of the article is devoted to presenting the Ella platform as a modern and innovative tool for creating virtual training. This article also presents the result of applied research and development.

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Software solution for 3D modelling and its application for education in industrial engineering

Matys Marián, Krajčovič Martin, Gabajová Gabriela, Więcek Dariusz

Zarządzanie Przedsiębiorstwem

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2020

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Vol. 23, nr 4

2--6

EN

The paper deals with the selection of a correct software solution for educational purposes in the field of 3D modelling. Five most suitable options were chosen. This article describes each variant. For the selection process itself, a set of factors was created to compare software in the aspects most important for the teaching process. This led to the choice of the most suitable alternative. Subsequently, learning materials were created for the software. Those were then tested in an experiment. The main goal was to evaluate the suitability for integration into the learning process, either for individual study or as potential teaching aid for 3D modelling lessons.

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Concept of reconfigurability in interoperation manufacturing buffers for smart factory

Grznár Patrik, Mozol Štefan, Vavrík Vladimír, Gabajová Gabriela, Furmannová Beáta

Quality Production Improvement - QPI

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2019

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Vol. 1, Iss. 1

575--582

EN

In this article, it is described how the reconfigurable inter-operational buffers system built on the Digital Twin platform. Interoperating production buffers are now widely used in production. Their effect on the production system can be seen in decreasing downtime. From a cost-based point of view, the interoperating production buffers may generate a gain from the reduction in the volume of work-in-process, with which we increase production performance. This ratio depends on the average number of products that the buffers contain. The average number of pieces in the buffer is limited by the capacity of the buffer. The impact of turbulence in production is seen precisely on the average content of inter-operational production buffers. If we want to maintain work-in-process on optimal values, it is necessary to calculate and maintain the optimal capacity of each interoperating production buffer on the line. In the context of Smart Factory, it is currently possible that the current capacity of the interoperating production buffers is maintained according to the current state of production. In the subject system, real production facilities communicate with each other through the IoT as autonomous agents, which are decided on the basis of a formula to calculate the optimal capacity of the buffers, the prediction of faults and negotiation, thus actively maintaining the optimal capacity of intermediate operating production buffers for Smart Factory support.