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EN
The Internet of Things (IoT) and mixed reality are now among the most important areas in research or in practice. The aim of this paper is to propose an appropri‐ ate way of connection of these two areas, where is pos‐ sible to control and monitor mechatronic devices using a mobile device with augmented/mixed reality support. The main task will be to explore these options in the area and implement this solution as prototype. The proposed methodology for control and diagnostics of mechatronic devices is modern as it combines hardware management, Unity engine for mixed reality development, and commu‐ nication within the IoT network.
EN
The main aim of proposed article is the design of new software system for modelling and control of discrete‐event and hybrid systems using Arduino and similar microcontrollers. In this paper we propose a new tool. It is based on Petri nets and it is called PN2ARDUINO. It offers a capability of communication with the microcontroller. Communication with the microcontroller is based on modified Firmata protocol so control algorithm can be implemented on all microcontrollers that support this type of protocol. The developed software tool was successfully verified for control of laboratory systems. It can also be used for education and also for research purposes as it offers a graphical way for designing control algorithm for hybrid and mainly discrete‐event systems. Proposed tool can enrich education and practice in the field of cyberphysical systems (Industry 4.0).
EN
Mechatronics belongs to the modern fields of the science and technology. Modern mechatronics combines mechanics, electronics, automation and informatics. However, young people often understand mechatronics as a combination of mechanics and electronics. This erroneous paradigm brings many problems in education and industry. Actual trend in the industry is Industry 4.0 - also called as fourth industrial revolution. It is a collective name for current automation, exchanging of data and manufacturing technologies. Today's industry (digital factories) is full of information and communication technologies such as Internet of Things, virtual / mixed reality, cloud computing, etc. Unfortunately, only small amount of high school pupils would like to study mechatronics because young generation is influenced by the outdated perception of this field and does not perceive some of its new aspects. They do not see modern technologies in this field. The authors of the paper decided to present mechatronics as a modern branch in an original way - by a fanfilm inspired by Avengers: Infinity War.
EN
The paper demonstrates an application developed to help to evaluate ergonomics of a workplace. Ergonomics of a workplace has enormous impact on employees and their long-term work effectiveness, which causes an interest in this field from employers' point of view. The paper describes and compares several attitudes companies use to set up and evaluate workplace metrics, potential of virtual reality (VR) in the process, VR application proposal, implementation within Unity 3D engine and results achieved with implementation of this proposed solution. Current approaches also include motion tracking for ergonomics evaluation. These technologies are often far over smaller companies' budget. Described solution is reasonably priced also for small companies, using cheaper motion capture equipment.
EN
The paper demonstrates remote control of test experiment in the virtual laboratory. This is a common problem, but another way can always be used to solve it. The paper compares several existing virtual laboratories and their possible issues at present. To develop such a new solution JavaScript technology was used on both client and server side using Node.js runtime. The modern approach is a visualization of received data in mixed reality using Microsoft HoloLens or another compatible device with Windows Mixed Reality platform.
6
Content available remote Application of pattern recognition for a welding process
EN
The paper deals with the development of a system for automatic weld recognition using new information technologies based on cloud computing and single-board computer in the context of Industry 4.0. The proposed system is based on a visual system for weld recognition, and a neural network based on cloud computing for real-time weld evaluation, both implemented on a single-board low-cost computer. The proposed system was successfully verified on welding samples which correspond to a real welding process in the car production process. The system considerably contributes to the welds diagnostics in industrial processes of small- and medium-sized enterprises.
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