scholarly journals Interoperability between OPC UA and oneM2M

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Salvatore Cavalieri ◽  
Salvatore Mulè
Keyword(s):  
Industry 4.0 ◽  
Industrial Applications ◽  
The Novel ◽  
Iot Devices

AbstractA key requirement of realizing the connected world featured by IoT is to ensure interoperability among different connected devices. Interoperability is also at the basis of the realization of the novel vision of Industry 4.0; a lot effort is put to make interoperable the interchange of information between industrial applications, also including IoT ecosystems. For this reason, during these last years, several approaches aimed to enhance interoperability between industrial applications and IoT appeared in the literature. In this paper an interoperability proposal is presented. It is based on the idea to realize interworking between the two standards considered among the reference ones in the industrial and IoT domains. They are the OPC UA for the industrial domain and oneM2M for the IoT. Interworking is realized in such a way to allow industrial applications based on OPC UA to acquire information coming from oneM2M-based IoT devices. The proposal allows an OPC UA Server to publish each piece of information produced by oneM2M-based IoT devices, so that this information may be consumed by industrial applications playing the OPC UA Client role.

scholarly journals IoT Traffic: Modeling and Measurement Experiments

IoT ◽  
2021 ◽  
Vol 2 (1) ◽  
pp. 140-162
Author(s):  
Hung Nguyen-An ◽  
Thomas Silverston ◽  
Taku Yamazaki ◽  
Takumi Miyoshi
Keyword(s):  
Smart Home ◽  
Large Scale ◽  
Traffic Modeling ◽  
The Novel ◽  
Network Behavior ◽  
Performance Accuracy ◽  
Traffic Generator ◽  
Multiple Devices ◽  
Iot Devices ◽  
The Internet Of Things

We now use the Internet of things (IoT) in our everyday lives. The novel IoT devices collect cyber–physical data and provide information on the environment. Hence, IoT traffic will count for a major part of Internet traffic; however, its impact on the network is still widely unknown. IoT devices are prone to cyberattacks because of constrained resources or misconfigurations. It is essential to characterize IoT traffic and identify each device to monitor the IoT network and discriminate among legitimate and anomalous IoT traffic. In this study, we deployed a smart-home testbed comprising several IoT devices to study IoT traffic. We performed extensive measurement experiments using a novel IoT traffic generator tool called IoTTGen. This tool can generate traffic from multiple devices, emulating large-scale scenarios with different devices under different network conditions. We analyzed the IoT traffic properties by computing the entropy value of traffic parameters and visually observing the traffic on behavior shape graphs. We propose a new method for identifying traffic entropy-based devices, computing the entropy values of traffic features. The method relies on machine learning to classify the traffic. The proposed method succeeded in identifying devices with a performance accuracy up to 94% and is robust with unpredictable network behavior with traffic anomalies spreading in the network.

Artificial Intelligence Applications for Industry 4.0: A Literature-Based Study

2021 ◽  
pp. 1-29
Author(s):  
Mohd Javaid ◽  
Abid Haleem ◽  
Ravi Pratap Singh ◽  
Rajiv Suman
Keyword(s):  
Artificial Intelligence ◽  
Industry 4.0 ◽  
Decisive Role ◽  
Vital Role ◽  
Data Types ◽  
Process Data ◽  
Automation Systems ◽  
Recent Developments ◽  
Iot Devices

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.

Laser Additive Manufacturing in Industry 4.0

2021 ◽  
pp. 729-754
Author(s):  
Christ P. Paul ◽  
Arackal N. Jinoop ◽  
Saurav K. Nayak ◽  
Alini C. Paul
Keyword(s):  
Additive Manufacturing ◽  
Industry 4.0 ◽  
High Performance ◽  
Industrial Revolution ◽  
Developing Economies ◽  
New Technology ◽  
Industrial Applications ◽  
Laser Additive Manufacturing ◽  
Global Status ◽  
Feature Based Design

Additive manufacturing is one of the nine technologies fuelling the fourth industrial revolution (Industry 4.0). High power lasers augmented with allied digital technologies is changing the entire manufacturing scenario through metal additive manufacturing by providing feature-based design and manufacturing with the technology called laser additive manufacturing (LAM). It enables the fabrication of customized components having complex and lightweight designs with high performance in a short period. The chapter compiles the evolution and global status of LAM technology highlighting its advantages and freedoms for various industrial applications. It discusses how LAM is contributing to Industry 4.0 for the fabrication of customized engineering and prosthetic components through case studies. It compiles research, development, and deployment scenarios of this new technology in developing economies along with the future scope of the technology.

scholarly journals UUX Evaluation of a Digitally Advanced Human–Machine Interface for Excavators

2020 ◽  
Vol 4 (3) ◽  
pp. 57
Author(s):  
Sebastian Lorenz ◽  
Jens R. Helmert ◽  
Ruben Anders ◽  
Christian Wölfel ◽  
Jens Krzywinski
Keyword(s):  
User Experience ◽  
User Interfaces ◽  
Quality Measurement ◽  
Industrial Applications ◽  
Human Machine Interface ◽  
The Novel ◽  
Task Load ◽  
System Usability Scale ◽  
Machine Interface ◽  
The Right

With the evaluation of a next-generation human–machine interface (HMI) concept for excavators, this study aims to discuss the HMI quality measurement based on usability and user experience (UUX) metrics. Regarding the digital transformation of construction sites, future work environments will have to be capable of presenting various complex visual data and enabling efficient and safe interactivity while working. The evaluated HMI focused on introducing a touch display-based interface, providing advanced operation functions and different interaction modalities. The assessment of UUX should show whether the novel HMI can be utilised to perform typical tasks (usability) and how it is accepted and assessed in terms of non-instrumental qualities (user experience, UX). Using the collected data, this article also aims to contribute to the general discussion about the role of UX beyond usability in industrial applications and deepen the understanding of non-instrumental qualities when it comes to user-oriented process and machine design. The exploratory study examines insights into the application of elaborated UUX measuring tools like the User Experience Questionnaire (UEQ) on the interaction with industrial goods accompanied by their rating with other tools, namely System Usability Scale (SUS), Intuitive Interaction Questionnaire (INTUI) and the National Aeronautics and Space Administration (NASA) Task Load Index (NASA-TLX). Four goals are pursued in this study. The first goal is to compare in-depth two different ways of interaction with the novel HMI—namely one by a control pad on the right joystick and one by touch. Therefore, a sample of 17 subjects in total was split into two groups and differences in UUX measures were tested. Secondly, the performances of both groups were tested over the course of trials to investigate possible differences in detail. The third goal is to interpret measures of usability and user experience against existing benchmark values. Fourth and finally, we use the data gathered to analyse correlations between measures of UUX. The results of our study show that the different ways of interaction did not impact any of the measures taken. In terms of detailed performance analysis, both groups yielded differences in terms of time per action, but not between the groups. The comparison of UUX measures with benchmark values yielded mixed results. The UUX measures show some relevant significant correlations. The participants mostly reported enjoying the use of the HMI concept, but several practical issues (e.g., efficiency) still need to be overcome. Once again, the study confirms the urge of user inclusion in product development. Especially in the course of digitalisation, as big scale advancements of systems and user interfaces bring uncertainty for many manufacturers regarding whether or how a feature should be integrated.

scholarly journals Visible Light Communications for Industrial Applications—Challenges and Potentials

Electronics ◽  
2020 ◽  
Vol 9 (12) ◽  
pp. 2157
Author(s):  
Yousef Almadani ◽  
David Plets ◽  
Sander Bastiaens ◽  
Wout Joseph ◽  
Muhammad Ijaz ◽  
...  
Keyword(s):  
Visible Light ◽  
Electromagnetic Interference ◽  
Industry 4.0 ◽  
High Speed ◽  
Data Exchange ◽  
Research Work ◽  
Industrial Applications ◽  
Smart Manufacturing ◽  
Low Latency ◽  
Visible Light Communications

Visible Light Communication (VLC) is a short-range optical wireless communication technology that has been gaining attention due to its potential to offload heavy data traffic from the congested radio wireless spectrum. At the same time, wireless communications are becoming crucial to smart manufacturing within the scope of Industry 4.0. Industry 4.0 is a developing trend of high-speed data exchange in automation for manufacturing technologies and is referred to as the fourth industrial revolution. This trend requires fast, reliable, low-latency, and cost-effective data transmissions with fast synchronizations to ensure smooth operations for various processes. VLC is capable of providing reliable, low-latency, and secure connections that do not penetrate walls and is immune to electromagnetic interference. As such, this paper aims to show the potential of VLC for industrial wireless applications by examining the latest research work in VLC systems. This work also highlights and classifies challenges that might arise with the applicability of VLC and visible light positioning (VLP) systems in these settings. Given the previous work performed in these areas, and the major ongoing experimental projects looking into the use of VLC systems for industrial applications, the use of VLC and VLP systems for industrial applications shows promising potential.

scholarly journals Insights into Mapping Solutions Based on OPC UA Information Model Applied to the Industry 4.0 Asset Administration Shell

Computers ◽  
2020 ◽  
Vol 9 (2) ◽  
pp. 28 ◽  
Author(s):  
Salvatore Cavalieri ◽  
Marco Giuseppe Salafia
Keyword(s):  
Industry 4.0 ◽  
Manufacturing Systems ◽  
Industrial Revolution ◽  
Information Model ◽  
Industrial Applications ◽  
Reference Architecture ◽  
Architecture Model ◽  
Open Platform ◽  
Advantages And Disadvantages ◽  
The One

In the context of Industry 4.0, lot of effort is being put to achieve interoperability among industrial applications. As the definition and adoption of communication standards are of paramount importance for the realization of interoperability, during the last few years different organizations have developed reference architectures to align standards in the context of the fourth industrial revolution. One of the main examples is the reference architecture model for Industry 4.0, which defines the asset administration shell as the corner stone of the interoperability between applications managing manufacturing systems. Inside Industry 4.0 there is also so much interest behind the standard open platform communications unified architecture (OPC UA), which is listed as the one recommendation for realizing the communication layer of the reference architecture model. The contribution of this paper is to give some insights behind modelling techniques that should be adopted during the definition of OPC UA Information Model exposing information of the very recent metamodel defined for the asset administration shell. All the general rationales and solutions here provided are compared with the current OPC UA-based existing representation of asset administration shell provided by literature. Specifically, differences will be pointed out giving to the reader advantages and disadvantages behind each solution.

scholarly journals Information and communication technologies support for the participation of universities in innovation networks (comparative study)

2018 ◽  
Vol 14 (3) ◽  
pp. 17-29 ◽  
Author(s):  
Olha Prokopenko ◽  
Rurik Holmberg ◽  
Vitaliy Omelyanenko
Keyword(s):  
Information And Communication Technologies ◽  
Industry 4.0 ◽  
Innovation System ◽  
Communication Technologies ◽  
Industrial Applications ◽  
Global Environment ◽  
Knowledge Generation ◽  
Innovation Networks ◽  
Information And Communication

To ensure and strengthen the development of high-tech R&D and its industrial applications in the long-term perspective, information and communication technologies (ICT) cooperation tools with national and international institutions, network associations and firms are of great importance. To solve this problem, a joint systematic and coordinated work to develop institutions that can provide crucial support to innovation process is crucial. For these purposes, higher educational institutions (HEI) innovation activities information and communication support and technological development analysis are critically important. The purpose of this study is to analyze the existing ICT toolkit, which is used to manage R&D and various industrial applications, and to develop a conceptual framework for the implementation of these tools for the participation of universities in innovation networks. To answer this question, authors begin by taking a closer look at the new role of universities in the development of knowledge generation in a global environment, as well as problems and tendencies under conditions of postindustrial society. The new role of universities in knowledge generation in the global environment development, and problems and tendencies under the conditions of postindustrial society were outlined. Modern ICT components, which are necessary for universities to participate in the innovation networks, were analyzed. Some cases of foreign experience in the scientific and innovation networks of current prototypes of Industry 4.0 development were discussed, and the possibilities of its adaptation to national innovation system formation conditions in Ukraine were identified. By theoretical and empirical examining, the authors propose more complete understanding of modern ICT components, which are necessary for universities to participate in innovation networks. Cases of foreign experience in the scientific and innovation networks of current prototypes of Industry 4.0 development were investigated. Moreover, the evidence from this study suggests a variety of factors related to the possibilities to adapt ICT tools to national innovation system formation in Ukraine.

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