ROBIN: An open-source middleware for plug‘n’produce of Cyber-Physical Systems

2020 ◽  
Vol 17 (3) ◽  
pp. 172988142091031
Author(s):  
Rafael Arrais ◽  
Paulo Ribeiro ◽  
Henrique Domingos ◽  
Germano Veiga
Keyword(s):  
Open Source ◽  
Industrial Revolution ◽  
Cyber Physical Systems ◽  
Industrial Applications ◽  
Mobile Manipulator ◽  
Battery Management ◽  
Efficient Manner ◽  
Physical Systems ◽  
Data Interchange ◽  
Automation Equipment

Motivated by the Fourth Industrial Revolution, there is an ever-increasing need to integrated Cyber-Physical Systems in industrial production environments. To address the demand for flexible robotics in contemporary industrial environments and the necessity to integrate robots and automation equipment in an efficient manner, an effective, bidirectional, reliable and structured data interchange mechanism is required. As an answer to these requirements, this article presents ROBIN, an open-source middleware for achieving interoperability between the Robot Operating System and CODESYS, a softPLC that can run on embedded devices and that supports a variety of fieldbuses and industrial network protocols. The referred middleware was successfully applied and tested in various industrial applications such as battery management systems, motion, robotic manipulator and safety hardware control, and horizontal integration between a mobile manipulator and a conveyor system.

scholarly journals Effects of Industry 4.0 on the Labor Markets of Iran and Japan

Economies ◽  
2018 ◽  
Vol 6 (3) ◽  
pp. 39 ◽  
Author(s):  
Majid Ziaei Nafchi ◽  
Hana Mohelská
Keyword(s):  
Labor Markets ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
Developed Countries ◽  
Cyber Physical Systems ◽  
Physical Systems ◽  
Science Technology ◽  
Levels Of Automation ◽  
Technology And Economy ◽  
The Impact

Industry 4.0 is the essence of the fourth Industrial revolution and is happening right now in manufacturing by using cyber-physical systems (CPS) to reach high levels of automation. Industry 4.0 is especially beneficial in highly developed countries in terms of competitive advantage, but causes unemployment because of high levels of automation. The aim of this paper is to find out if the impact of adopting Industry 4.0 on the labor markets of Iran and Japan would be the same, and to make analysis to find out whether this change is possible for Iran and Japan with their current infrastructures, economy, and policies. With the present situation of Iran in science, technology, and economy, it will be years before Iran could, or better say should, implement Industry 4.0. Japan is able to adopt Industry 4.0 much earlier than Iran and with less challenges ahead; this does not mean that the Japanese labor market would not be affected by this change but it means that those effects would not cause as many difficulties as they would for Iran.

scholarly journals How connectivity and search for producers impact production in Industry 4.0 networks

2018 ◽  
Vol 15 (4) ◽  
pp. 528-534
Author(s):  
Adriano Pereira ◽  
Eugênio De Oliveira Simonetto ◽  
Goran Putnik ◽  
Helio Cristiano Gomes Alves de Castro
Keyword(s):  
Industry 4.0 ◽  
Industrial Revolution ◽  
Cyber Physical Systems ◽  
Average Degree ◽  
Collaborative Networks ◽  
Production Network ◽  
Simulation Environment ◽  
Physical Systems ◽  
Study Results ◽  
The Internet Of Things

Technological evolutions lead to changes in production processes; the Fourth Industrial Revolution has been called Industry 4.0, as it integrates Cyber-Physical Systems and the Internet of Things into supply chains. Large complex networks are the core structure of Industry 4.0: any node in a network can demand a task, which can be answered by one node or a set of them, collaboratively, when they are connected. In this paper, the aim is to verify how (i) network's connectivity (average degree) and (ii) the number of levels covered in nodes search impacts the total of production tasks completely performed in the network. To achieve the goal of this paper, two hypotheses were formulated and tested in a computer simulation environment developed based on a modeling and simulation study. Results showed that the higher the network's average degree is (their nodes are more connected), the greater are the number of tasks performed; in addition, generally, the greater are the levels defined in the search for nodes, the more tasks are completely executed. This paper's main limitations are related to the simulation process, which led to a simplification of production process. The results found can be applied in several Industry 4.0 networks, such as additive manufacturing and collaborative networks, and this paper is original due to the use of simulation to test this kind of hypotheses in an Industry 4.0 production network.

scholarly journals Design of IoT-based Cyber–Physical Systems: A Driverless Bulldozer Prototype

Information ◽  
2019 ◽  
Vol 10 (11) ◽  
pp. 343 ◽  
Author(s):  
Nelson H. Carreras Guzman ◽  
Adam Gergo Mezovari
Keyword(s):  
Autonomous Vehicles ◽  
Industrial Revolution ◽  
Physical World ◽  
Cyber Physical Systems ◽  
Transportation Systems ◽  
Small Scale ◽  
Security Risk ◽  
Physical Systems ◽  
Wireless Communication Network ◽  
Enhance Efficiency

From autonomous vehicles to robotics and machinery, organizations are developing autonomous transportation systems in various domains. Strategic incentives point towards a fourth industrial revolution of cyber–physical systems with higher levels of automation and connectivity throughout the Internet of Things (IoT) that interact with the physical world. In the construction and mining sectors, these developments are still at their infancy, and practitioners are interested in autonomous solutions to enhance efficiency and reliability. This paper illustrates the enhanced design of a driverless bulldozer prototype using IoT-based solutions for the remote control and navigation tracking of the mobile machinery. We illustrate the integration of a cloud application, communication protocols and a wireless communication network to control a small-scale bulldozer from a remote workstation. Furthermore, we explain a new tracking functionality of work completion using maps and georeferenced indicators available via a user interface. Finally, we provide a preliminary safety and security risk assessment of the system prototype and propose guidance for application in real-scale machinery.

scholarly journals New Developments in Cyber Physical Systems, the Internet of Things and the Digital Economy – Discussion on Future Developments in the Industrial Internet of Things and Industry 4.0

2019 ◽  
Author(s):  
Petar Radanliev ◽  
David De Roure ◽  
Jason R.C. Nurse ◽  
Razvan Nicolescu ◽  
Michael Huth ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
Cyber Physical Systems ◽  
Digital Economy ◽  
Industrial Internet Of Things ◽  
New Developments ◽  
Physical Systems ◽  
Fourth Industrial Revolution ◽  
Industrial Internet

The world is currently experiencing the fourth industrial revolution driven by the newest wave of digitisation in the manufacturing sector. The term Industry 4.0 (I4.0) represents at the same time: a paradigm shift in industrial production, a generic designation for sets of strategic initiatives to boost national industries, a technical term to relate to new emerging business assets, processes and services, and a brand to mark a very particular historical and social period. I4.0 is also referred to as Industrie 4.0 the New Industrial France, the Industrial Internet, the Fourth Industrial Revolution and the digital economy. These terms are used interchangeably in this text. The aim of this article is to discuss major developments in this space in relation to the integration of new developments of IoT and cyber physical systems in the digital economy, to better understand cyber risks and economic value and risk impact. The objective of the paper is to map the current evolution and its associated cyber risks for the digital economy sector and to discuss the future developments in the Industrial Internet of Things and Industry 4.0.

scholarly journals Urgency of “industry 4.0” concept introduction in modern mechanical engineering

2016 ◽  
Vol 1 (7) ◽  
pp. 45-48 ◽  
Author(s):  
Александр Ингеманссон ◽  
Aleksandr Ingemansson
Keyword(s):  
Industry 4.0 ◽  
Mechanical Engineering ◽  
Industrial Revolution ◽  
Engineering Management ◽  
Cyber Physical Systems ◽  
Basic Principles ◽  
Physical Systems ◽  
Technological Control ◽  
Efficiency Increase ◽  
Software And Hardware

The contents of the “Industry 4.0” concept are revealed. The basic principles of “Industry 4.0” concepts, “Internet things” and the contents of the so-called the “Fourth industrial revolution” are described. The promising trend in mechanical engineering due to the creation and integration of cyber-physical systems including technological, control, transport and other equipment is characterized. The review of current software and hardware tools for efficiency increase in mechanical engineering management of – MES-, APS-, SCADA-, MDC- systems. The purposeful trends and criteria of efficiency estimate in the introduction of cyber-physical systems for the realization of the “Industry 4.0” concept in mechanical engineering are characterized.

Applications of Fuzzy Numbers to Hyperconnectivity and Computing

2020 ◽  
Vol 4 (2) ◽  
pp. 80-101
Author(s):  
Michael Voskoglou
Keyword(s):  
Industrial Revolution ◽  
Fuzzy Numbers ◽  
Real Life ◽  
Individual Performance ◽  
Cyber Physical Systems ◽  
Future Research ◽  
Physical Systems ◽  
Linear Programming Problems ◽  
The Subject ◽  
A New Technique

The present article focuses on two directions. First, a new fuzzy method using TFNs or TpFNs as tools is developed for evaluating a group's mean performance, when qualitative grades instead of numerical scores are used for assessing its members' individual performance. Second, a new technique is applied for solving linear programming problems with fuzzy coefficients. Examples are presented on real life situations connected to hyper connectivity and computing problems. Such examples illustrate the applicability of our methods in the modern practice of the forthcoming era of a new industrial revolution that will be characterized by the development of an advanced Internet of Things and energy and by the cyber-physical systems controlled through it. A discussion follows for the perspectives of future research on the subject and the article closes with the general conclusions.

scholarly journals Benefits and Limitations of the Artificial with Respect to the Traditional Learning of Mathematics

Mathematics ◽  
2020 ◽  
Vol 8 (4) ◽  
pp. 611
Author(s):  
Michael Gr. Voskoglou ◽  
Abdel-Badeeh M. Salem
Keyword(s):  
Teaching And Learning ◽  
Industrial Revolution ◽  
Cyber Physical Systems ◽  
Learning Theories ◽  
Future Research ◽  
Traditional Learning ◽  
Teaching Mathematics ◽  
Physical Systems ◽  
Advantages And Disadvantages ◽  
The Subject

The present article focuses on the role that the artificial teaching and learning of mathematics could play for education in the forthcoming era of a new industrial revolution that will be characterized by the development of an advanced Internet of things and energy, and by the cyber-physical systems controlled through it. Starting with a brief review of the traditional learning theories and methods of teaching mathematics, the article continues by studying the use of computers and of applications of artificial intelligence (AI) in mathematics education. The advantages and disadvantages of artificial with respect to traditional learning in the classroom are also discussed, and the article closes with the general conclusions and a few comments on the perspectives of future research on the subject.

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