scholarly journals Digital Twin and Internet of Things—Current Standards Landscape

2020 ◽  
Vol 10 (18) ◽  
pp. 6519 ◽  
Author(s):  
Michael Jacoby ◽  
Thomas Usländer

Industry 4.0 is revolutionizing industrial production by bridging the physical and the virtual worlds and further improving digitalization. Two essential building blocks in industry 4.0 are digital twins (DT) and the internet of things (IoT). While IoT is about connecting resources and collecting data about the physical world, DTs are the virtual representations of resources organizing and managing information and being tightly integrated with artificial intelligence, machine learning and cognitive services to further optimize and automate production. The concepts of DTs and IoT are overlapping when it comes to describing, discovering and accessing resources. Currently, there are multiple DT and IoT standards covering these overlapping aspects created by different organizations with different backgrounds and perspectives. With regard to interoperability, which is presumably the most important aspect of industry 4.0, this barrier needs to be overcome by consolidation of standards. The objective of this paper is to investigate current DT and IoT standards and provide insights to stimulate this consolidation. Overlapping aspects are identified and a classification scheme is created and applied to the standards. The results are compared, aspects with high similarity or divergence are identified and a proposal for stimulating consolidation is presented. Consensus between standards are found regarding the elements a resource should consist of and which serialization format(s) and network protocols to use. Controversial topics include which query language to use for discovery as well as if geo-spatial, temporal and historical data should be explicitly supported.

Author(s):  
Shobhita Singh

After the .com boom, the next big thing in the 21st century is the “Internet of Things”. The “Internet of Things” is exploding and infusing intelligence globally. From infinitesimal chips to mammoth machineries, billions of smart gadgets communicate with each other with the aid of wireless devices. The day is not far when every physical item will no longer remain disconnected from the virtual world. Presently, your coffee kettle starts automatically when you wake up in the morning and lights go off when you leave home for your office where all devices are controlled/activated through your voice. Dream becomes reality, when the whole world will be running automatically and virtually with the initiation of a command. Connecting ‘Internet of Things’ with ‘Artificial Intelligence’, high-tech and scientific technologies will transform the world into a completely digital world. These two powerful pillars will build super-intelligent e-devices that are ready for new challenges. It will be made possible by evolving IP strategies, Radio Frequency Identification (RFID), embedded sensors, actuators that are intelligently connected in machines and other physical objects. This paper aims to provide an insight into how the third wave of information technology i.e. Internet of Things (IoT) will interconnect the physical world using artificial intelligence. The paper will further discuss the building blocks of the IoT and the perspective areas where it can be implemented smartly.


Author(s):  
Petar Radanliev ◽  
David De Roure ◽  
Razvan Nicolescu ◽  
Michael Huth ◽  
Omar Santos

AbstractThis paper presents a new design for artificial intelligence in cyber-physical systems. We present a survey of principles, policies, design actions and key technologies for CPS, and discusses the state of art of the technology in a qualitative perspective. First, literature published between 2010 and 2021 is reviewed, and compared with the results of a qualitative empirical study that correlates world leading Industry 4.0 frameworks. Second, the study establishes the present and future techniques for increased automation in cyber-physical systems. We present the cybersecurity requirements as they are changing with the integration of artificial intelligence and internet of things in cyber-physical systems. The grounded theory methodology is applied for analysis and modelling the connections and interdependencies between edge components and automation in cyber-physical systems. In addition, the hierarchical cascading methodology is used in combination with the taxonomic classifications, to design a new integrated framework for future cyber-physical systems. The study looks at increased automation in cyber-physical systems from a technical and social level.


2021 ◽  
Vol 83 (4) ◽  
pp. 100-111
Author(s):  
Ahmad Anwar Zainuddin ◽  

Internet of Things (IoT) is an up-and-coming technology that has a wide variety of applications. It empowers physical objects to be organized in a specialized framework to grow its convenience in terms of ease and time utilization. It is to convert the thought of bridging the crevice between the physical world and the machine world. It is also being use in the wide range of the technology in this current situation. One of its applications is to monitor and store data over time from numerous devices allows for easy analysis of the dataset. This analysis can then be the basis of decisions made on the same. In this study, the concept, architecture, and relationship of IoT and Big Data are described. Next, several use cases in IoT and big data in the research methodology are studied. The opportunities and open challenges which including the future directions are described. Furthermore, by proposing a new architecture for big data analytics in the Internet of Things, this paper adds value. Overall, the various types of big IoT data analytics, their methods, and associated big data mining technologies are discussed.


Author(s):  
Leila Zemmouchi-Ghomari

Industry 4.0 is a technology-driven manufacturing process that heavily relies on technologies, such as the internet of things (IoT), cloud computing, web services, and big real-time data. Industry 4.0 has significant potential if the challenges currently being faced by introducing these technologies are effectively addressed. Some of these challenges consist of deficiencies in terms of interoperability and standardization. Semantic Web technologies can provide useful solutions for several problems in this new industrial era, such as systems integration and consistency checks of data processing and equipment assemblies and connections. This paper discusses what contribution the Semantic Web can make to Industry 4.0.


Author(s):  
John P.T. Mo ◽  
Ronald C. Beckett

Since the announcement of Industry 4.0 in 2012, multiple variants of this industry paradigm have emerged and built on the common platform of Internet of Things. Traditional engineering driven industries such as aerospace and automotive are able to align with Industry 4.0 and operate on requirements of the Internet of Things platform. Process driven industries such as water treatment and food processing are more influenced by societal perspectives and evolve into Water 4.0 or Dairy 4.0. In essence, the main outcomes of these X4.0 (where X can be any one of Quality, Water or a combination of) paradigms are facilitating communications between socio-technical systems and accumulating large amount of data. As the X4.0 paradigms are researched, defined, developed and applied, many real examples in industries have demonstrated the lack of system of systems design consideration, e.g. the issue of training together with the use of digital twin to simulate operation scenarios and faults in maintenance may lag behind events triggered in the hostile real world environment. This paper examines, from a high level system of systems perspective, how transdisciplinary engineering can incorporate data quality on the often neglected system elements of people and process while adapting applications to operate within the X4.0 paradigms.


Author(s):  
Saidatul Rahah Hamidi ◽  
Muhammad Afiq Muhamad Yusof ◽  
Shuhaida Mohamed Shuhidan ◽  
Shamsiah Abd Kadir

<span>The Internet of Things (IoT) is predicted to be one of the major megatrends in technology that applies worldwide including in Malaysia. Current advantages and expectations of using a connected device has become a reason to use applications in many areas, including the field of retail industry. The evolvement of technology has changed the retail landscape that replaces the manpower in their operations to improve the efficiency, quality and work ethics. Hence, this paper discussed comparative study of technology innovation applied and process flow in unmanned store from different country. Next, prototype of unmanned store apps was designed according to the most preferred technology based on the comparative study. IoT retailer model can be used to improve the retail experience for the customers. Thus, it may perform strategic marketing and gain retail intelligence. Besides, the revolution of using technology in this retail industry is contributing towards Industry 4.0 through digital transformation.</span>


Author(s):  
Mikael Wiberg

Computing is increasingly intertwined with our physical world. From smart watches to connected cars, to the Internet of Things and 3D-printing, the trend towards combining digital and analogue materials in design is no longer an exception, but a hallmark for where interaction design is going in general. Computational processing increasingly involves physical materials, computing is increasingly manifested and expressed in physical form, and interaction with these new forms of computing is increasingly mediated via physical materials. Interaction Design is therefore increasingly a material concern. – Welcome to a book on the materiality of interaction, welcome to a book on material-centered interaction design! In this introduction to this book, “The Materiality of Interaction – Notes on the Materials of Interaction Design”, I describe the contemporary trend in interaction design towards material interactions, I describe how interaction design is increasingly about materials, and I propose “Material-centered interaction design” as a method for working with materials in interaction design projects.


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