An Ontological Model to Integrate and Assist Virtualization of Automation Systems for Industry 4.0

Artificial intelligence (AI) contributes to the recent developments in Industry 4.0. Industries are focusing on improving product consistency, productivity and reducing operating costs, and they want to achieve this with the collaborative partnership between robotics and people. In smart industries, hyperconnected manufacturing processes depend on different machines that interact using AI automation systems by capturing and interpreting all data types. Smart platforms of automation can play a decisive role in transforming modern production. AI provides appropriate information to take decision-making and alert people of possible malfunctions. Industries will use AI to process data transmitted from the Internet of things (IoT) devices and connected machines based on their desire to integrate them into their equipment. It provides companies with the ability to track their entire end-to-end activities and processes fully. This literature review-based paper aims to brief the vital role of AI in successfully implementing Industry 4.0. Accordingly, the research objectives are crafted to facilitate researchers, practitioners, students and industry professionals in this paper. First, it discusses the significant technological features and traits of AI, critical for Industry 4.0. Second, this paper identifies the significant advancements and various challenges enabling the implementation of AI for Industry 4.0. Finally, the paper identifies and discusses significant applications of AI for Industry 4.0. With an extensive review-based exploration, we see that the advantages of AI are widespread and the need for stakeholders in understanding the kind of automation platform they require in the new manufacturing order. Furthermore, this technology seeks correlations to avoid errors and eventually to anticipate them. Thus, AI technology is gradually accomplishing various goals of Industry 4.0.

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Industry 4.0 and the Internet of Things (IoT)

Advances in Business Information Systems and Analytics - Internet of Things (IoT) Applications for Enterprise Productivity ◽

10.4018/978-1-7998-3175-4.ch001 ◽

2020 ◽

pp. 1-24

Author(s):

Zelal Gültekin Kutlu

Keyword(s):

Internet Of Things ◽

Industry 4.0 ◽

Information Technologies ◽

Industrial Revolution ◽

The Internet ◽

Automation Systems ◽

Technological Developments ◽

Use Of The Internet ◽

Internet Networks ◽

The Internet Of Things

In this study, the periodical differences of industrial revolutions, which is one of the effects of technological developments in the industrial field, and the last stage of it are mentioned. With the latest industrial revolution called Industry 4.0, machines work in harmony with technology at every stage of industrial areas. This period, known as Industry 4.0 or the fourth industrial revolution, refers to the system in which the latest production technologies, automation systems, and the technologies that make up this system exchange data with each other. In addition to the information technologies and automation systems used in Industry 3.0, industrial production has gained a whole new dimension with the use of the internet. With internet networks, machines, operators, and robots now work in harmony. At this point, the concept of internet of objects becomes important. Therefore, another focus of the study is the concept of internet of objects. There are some assumptions about the uses, benefits, and future status of the internet of things.

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Turkey’s Industry 4.0 Adventure: Dream or Realization

KnE Social Sciences ◽

10.18502/kss.v4i1.6004 ◽

2020 ◽

Author(s):

Vahap Tecim ◽

Cigdem Tarhan

Keyword(s):

Social Sciences ◽

Information Systems ◽

Industry 4.0 ◽

Data Exchange ◽

Management Information Systems ◽

The Internet ◽

Management Information ◽

Industrial Transformation ◽

Automation Systems ◽

Technological Developments

Today’s technology minimizes human errors and enables the implementation of applications that will enable electronic devices to work flawlessly as much as possible. Both socially and technically, in each sector with all levels, the manager must make decisions based on his/her responsibility and interest. In these environments, making the right decision, unprotected or minimal damage to the risks, depends on the personal ability of the decision-maker as well as the information that comes with it. The concept of Industry 4.0, which has emerged in parallel with technological developments, includes the transformation of production and service activities into modern automation systems in social areas and the use of new methods in data exchange. In this context, the internet of the objects, the internet of services and cyber-physical systems constitute the basic structures of the new formation. In this study, the use of these technologies in the areas where social sciences operate in the fields of which are the components of the technological developments that emerged as Industry 4.0 are discussed in the topics of Autonomous Robots, Big Data, Simulation, System Integration, Cyber Security, Cloud Computing, 3D Printers, Enhanced and Virtual Reality. Planning, analysis, design, coding and implementation stages of many technologies produced and implemented by Management Information Systems for social sciences with the reason of the emergence of Industry 4.0, innovation, flexibility and efficiency approach will be explained in this study. Additionally, this paper examines the effect of the industrial transformation in Turkey. Keywords: Industry 4.0, internet of things, management information systems, information technologies

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PROPOSAL OF THE MODULE FOR EXPERIMENTAL WORKPLACE BASED ON PLATFORM INDUSTRY 4.0

TECHNICAL SCIENCES AND TECHNOLOG IES ◽

10.25140/2411-5363-2018-4(14)-201-209 ◽

2018 ◽

pp. 201-209

Author(s):

Visnovsky Martin ◽

Rakay Robert ◽

Galajdova Alena ◽

Simsik Dusan

Keyword(s):

Industry 4.0 ◽

Industrial Revolution ◽

Automation System ◽

Laboratory System ◽

Sensors And Actuators ◽

Functional Capabilities ◽

Automation Systems ◽

Modular Production ◽

Automation Control ◽

The Individual

Urgency of the research. New modern trends in the cable industrial communication and exchange of data focus on implementation of new communication standards, protocols and reduced costs. Communication in every automation systems is crucial. Functions of these systems is very important for the correct function of automation system. Target setting. For designing sensor and actuator systems for automation and solving connection between different devices, developers solved this problem with standardized communication like technology IO-Link. This communication technology together with industrial bus create solution for modern communication with quantity of benefits like quick design and diagnostic, unified interface, cost and work reduction. Actual scientific researches and issues analysis. To prepare this paper, we analyzed different solutions for communication between sensors and actuators, different control systems and mechanical solutions. We used knowledge from our previous experiments and choose optimal components and systems for our project. Uninvestigated parts of general matters defining. There are many different types of sensors, actuators, communication interfaces and industrial busses. This paper is insufficient to describe them all. That’s why we’ve only described those, which will be used. The research objective. This article describe the design of a machining module for the FESTO FMS 500 Modular Laboratory System. This module will be physically implemented as part of the revitalization and modernization of the FMS 500 laboratory system at the Department of Automation, Control and Human-Machine Interactions. The statement of basic materials. We follow the trends in industrial automation and the requirements of the 4th Industrial Revolution. This is reason why we use IO-Link technology in combination with Profinet bus for communication with sensors and actuators. Conclusions. The main objective of this article is to approach the design of the Machining Module with Industry 4.0 elements for the Modular Production System FMS 500. This design describe the individual components which will be used. The functions and purpose of the module are also describe, as well as its functional capabilities in terms of diagnostics.

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Extending Legacy Industrial Machines by a Low-Cost Easy-to-Use IoT Module for Data Acquisition

Symmetry ◽

10.3390/sym12091486 ◽

2020 ◽

Vol 12 (9) ◽

pp. 1486

Author(s):

Laslo Tarjan ◽

Ivana Šenk ◽

Jelena Erić Obućina ◽

Stevan Stankovski ◽

Gordana Ostojić

Keyword(s):

Industry 4.0 ◽

Low Cost ◽

Control Unit ◽

Smartphone Application ◽

Conveyor Belt ◽

Global Network ◽

Monitoring And Control ◽

Variable Frequency Drive ◽

Automation Systems ◽

And Control

Industry 4.0 is a paradigm that enhances industrial automation systems with the recent advances in the domain of the Internet of Things (IoT), gaining new possibilities and providing new services. Traditional industrial machines do not have IoT capabilities, and in order to integrate such a machine into Industry 4.0, there is a need for an intermediary device or system that communicates with the machine through its supported communication interfaces and protocols and forwards the communication to the global network. This paper presents the development and experimental validation of a low-cost hardware module that can easily integrate the machine’s existing control unit into the IoT and enable synchronization of the measurements and states of the variables of the machine and its environment with a cloud server. The developed module is universal, can connect to any control unit that is able to communicate through basic RS232 serial communication, and does not require the control unit to have any higher level communication protocol implemented. On the other end, the presented solution uses a dedicated smartphone application to provide remote monitoring and control of the machine through the cloud by using the synchronized variable states, as well as further possibilities for storing, processing, and analyzing the historical data from the system. The developed solution was experimentally validated on an experimental setup consisting of a conveyor belt driven by a three-phase asynchronous electromotor controlled by a programmable logic controller through a variable-frequency drive.

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Industry 4.0 and the Internet of Things (IoT)

Research Anthology on Cross-Industry Challenges of Industry 4.0 ◽

10.4018/978-1-7998-8548-1.ch009 ◽

2021 ◽

pp. 152-170

Author(s):

Zelal Gültekin Kutlu

Keyword(s):

Internet Of Things ◽

Industry 4.0 ◽

Information Technologies ◽

Industrial Revolution ◽

The Internet ◽

Automation Systems ◽

Technological Developments ◽

Use Of The Internet ◽

Internet Networks ◽

The Internet Of Things

In this study, the periodical differences of industrial revolutions, which is one of the effects of technological developments in the industrial field, and the last stage of it are mentioned. With the latest industrial revolution called Industry 4.0, machines work in harmony with technology at every stage of industrial areas. This period, known as Industry 4.0 or the fourth industrial revolution, refers to the system in which the latest production technologies, automation systems, and the technologies that make up this system exchange data with each other. In addition to the information technologies and automation systems used in Industry 3.0, industrial production has gained a whole new dimension with the use of the internet. With internet networks, machines, operators, and robots now work in harmony. At this point, the concept of internet of objects becomes important. Therefore, another focus of the study is the concept of internet of objects. There are some assumptions about the uses, benefits, and future status of the internet of things.

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Flexible Framework to Model Industry 4.0 Processes for Virtual Simulators

Applied Sciences ◽

10.3390/app9234983 ◽

2019 ◽

Vol 9 (23) ◽

pp. 4983 ◽

Cited By ~ 4

Author(s):

Ottogalli ◽

Rosquete ◽

Amundarain ◽

Aguinaga ◽

Borro

Keyword(s):

Virtual Reality ◽

Augmented Reality ◽

Programming Languages ◽

Industry 4.0 ◽

Industrial Processes ◽

Process Definition ◽

Clear Separation ◽

Automation Systems ◽

Key Technologies ◽

Flexible Framework

Virtual reality (VR)- and augmented reality (AR)-based simulations are key technologies in Industry 4.0 which allow for testing and studying of new processes before their deployment. A simulator of industrial processes needs a flexible way in which to model the activities performed by the worker and other elements involved, such as robots and machinery. This work proposes a framework to model industrial processes for VR and AR simulators. The desk method was used to review previous research and extract the most important features of current approaches. Novel features include interaction among human workers and a variety of automation systems, such as collaborative robots, a broader set of tasks (including assembly and disassembly of components), flexibility of modeling industrial processes for different domains and purposes, a clear separation of process definition and simulator, and independence of specific programming languages or technologies. Three industrial scenarios modeled with this framework are presented: an aircraft assembly scenario, a guidance tool for high-voltage cell security, and an application for the training of machine-tool usage.

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Model-Driven Design and Development of Flexible Automated Production Control Configurations for Industry 4.0

Applied Sciences ◽

10.3390/app11052319 ◽

2021 ◽

Vol 11 (5) ◽

pp. 2319

Author(s):

Unai Gangoiti ◽

Alejandro López ◽

Aintzane Armentia ◽

Elisabet Estévez ◽

Marga Marcos

Keyword(s):

Control System ◽

Production System ◽

Industry 4.0 ◽

Production Control ◽

Production Systems ◽

Normal Operation ◽

Functional Requirements ◽

Multi Agent Systems ◽

Design And Development ◽

Automation Systems

The continuous changes of the market and customer demands have forced modern automation systems to provide stricter Quality of service (QoS) requirements. This work is centered in automation production system flexibility, understood as the ability to shift from one controller configuration to a different one, in the most quick and cost-effective way, without disrupting its normal operation. In the manufacturing field, this allows to deal with non-functional requirements such as assuring control system availability or workload balancing, even in the case of failure of a machine, components, network or controllers. Concretely, this work focuses on flexible applications at production level, using Programmable Logic Controllers (PLCs) as primary controllers. The reconfiguration of the control system is not always possible as it depends on the process state. Thus, an analysis of the system state is necessary to make a decision. In this sense, architectures based on industrial Multi Agent Systems (MAS) have been used to provide this support at runtime. Additionally, the introduction of these mechanisms makes the design and the implementation of the control system more complex. This work aims at supporting the design and development of such flexible automation production systems, through the proposed model-based framework. The framework consists of a set of tools that, based on models, automate the generation of control code extensions that add flexibility to the automation production system, according to industry 4.0 paradigm.

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