scholarly journals A Self-Configurable Edge Computing for Industrial IoT

2019 ◽  
Vol 9 (2) ◽  
pp. 2890-2894
Keyword(s):  
Material Handling ◽  
Industrial Revolution ◽  
Rapid Development ◽  
Edge Computing ◽  
Industrial Robots ◽  
Production Environment ◽  
Automatic Guided Vehicles ◽  
Industrial Wireless Networks ◽  
Industrial Iot ◽  
Smart Industry

The proliferation of Industrial Internet of Things (IIoT) introduces the concept of a smarter production environment. The emerging technologies like software defined network (SDN), IIoT and cloud computing will bring great advancements in the modern industrial revolution called Industry 4.0. Therefore, with the rapid development of IIoT technology, the proposed work incorporates with Edge Computing (EC). The current manufacturing process and automation, computing and wireless network reaches out to headways in innovation from easy to the point where all things (devices) and machines can interface through an Internet of Everything (IoE). This paper extends the work carried out in traditional methods, by integrating the cloud layer, Automatic Guided Vehicles (AGV), Industrial Wireless networks (IWN) and Industrial robots through EC is conferred to make autonomous decision-making capabilities. EC is emerging as a significant element in the smart industry to bring legacy in the context of Industrial IoT (IIoT). Finally, our proposed framework demonstrates that the active RFID-enabled AGV and industrial robots are brought in to exploit for effective resource management under the EC-based IIoT architecture, subsequently, it improves the conveyor efficiency and overall energy consumption in the warehouse for material handling.

scholarly journals A Novel Blockchain Framework for Industrial IoT Edge Computing

Sensors ◽  
2020 ◽  
Vol 20 (7) ◽  
pp. 2061 ◽  
Author(s):  
Xuesong Xu ◽  
Zhi Zeng ◽  
Shengjie Yang ◽  
Hongyan Shao
Keyword(s):  
Data Storage ◽  
Resource Constraints ◽  
Rapid Development ◽  
Edge Computing ◽  
Consensus Algorithm ◽  
Resource Constrained ◽  
Blockchain Technology ◽  
Industrial Internet ◽  
Industrial Iot ◽  
And Performance

With the rapid development of industrial internet of thing (IIoT), the distributed topology of IIoT and resource constraints of edge computing conduct new challenges to traditional data storage, transmission, and security protection. A distributed trust and allocated ledger of blockchain technology are suitable for the distributed IIoT, which also becomes an effective method for edge computing applications. This paper proposes a resource constrained Layered Lightweight Blockchain Framework (LLBF) and implementation mechanism. The framework consists of a resource constrained layer (RCL) and a resource extended layer (REL) blockchain used in IIoT. We redesign the block structure and size to suit to IIoT edge computing devices. A lightweight consensus algorithm and a dynamic trust right algorithm is developed to improve the throughput of blockchain and reduce the number of transactions validated in new blocks respectively. Through a high throughput management to guarantee the transaction load balance of blockchain. Finally, we conducted kinds of blockchain simulation and performance experiments, the outcome indicated that the method have a good performance in IIoT edge application.

scholarly journals Guest Editorial: Design Engineering in the Age of Industry 4.0

2021 ◽  
pp. 1-4
Author(s):  
Janet K. Allen ◽  
Sesh Commuri ◽  
Jianxin Jiao ◽  
Jelena Milisavljevic-Syed ◽  
Farrokh Mistree ◽  
...  
Keyword(s):  
Industry 4.0 ◽  
Industrial Revolution ◽  
Production Systems ◽  
Systems Design ◽  
Smart Manufacturing ◽  
Future Research ◽  
Design Engineering ◽  
Production Environment ◽  
Special Issue ◽  
Industrial Iot

Abstract This special issue is motivated by the trend of smart factories of the future towards the fourth Industrial Revolution, which makes it possible to better leverage capabilities and resources in a human-cyber-physical production environment. This emerging paradigm of Industry 4.0 poses new systems design problems at the interface of smart manufacturing, robust and flexible automation, distributed and reconfigurable production systems industrial IoT, and supply chain integration. Recent advances of design engineering in the age of Industry 4.0 are presented in this special issue. More than forty (40) papers were received and peer-reviewed, out of which thirteen (13) papers were selected for publication. These are both theoretical and practical, as well as state-of-the-art reviews, new perspectives, and outlook for future research directions in the field. The papers span a range of design aspects and Industry 4.0 technologies. There are three intersecting clusters in this category: design principles and techniques for Industry 4.0, smart manufacturing technologies, and machine learning and data-driven techniques for Industry 4.0.

scholarly journals THE RESTRUCTURING OF THE ADMINISTRATIONAL-ORGANISATIONAL APPROACHES OF BUSINESSES IN THE PROCESS OF INDUSTRY 4.0

2020 ◽  
Vol 7 (4) ◽  
pp. 361-372
Author(s):  
Naci Atalay DAVUTOĞLU
Keyword(s):  
Industry 4.0 ◽  
Industrial Revolution ◽  
Production Control ◽  
Rapid Development ◽  
Cyber Physical Systems ◽  
Historical Background ◽  
Direct Result ◽  
Production Environment ◽  
Global Networks ◽  
Physical Systems

Industrial revolutions have long since been mandatory for humanity in order to adapt to the age and innovations, resulting in the search of new ways to sustain productivity. Regardless of the line of business or the historical background of a sector, the concept of industrial revolution underlies the historical development of all sectors. The main reason is that production sustainability occurs when humanity presents their products at the same time announcing them. Consequently, new ideas, creations and revolutions can develop. Based on this, the first Industrial Revolution developed as a direct result of mechanisation while the Second Industrial Revolution developed as a result of electricity, and the Third Industrial Revolution developed as a direct result of computerisation. Nowadays, the Fourth Industrial Revolution aims to transform Internet of Things and Internet of Services into production. In the near future, enterprises will adapt to these innovations and hence improve their technologies, managerial and organisational perceptions, administrative levels, decision-making and logistic systems, as well as production facilities by means of developing global networks as part of Cyber-Physical Systems. Thanks to Cyber-Physical Systems, enterprises will carry out information production, control function, smart machines and storage systems independently within the production environment. This system will provide a rapid development of concepts like production, engineering, material procurement, industrial processes, supply chain, and life-cycle systems. Therefore, the aim of the present study is to theoretically analyse how managerial and organisational perceptions of enterprises undergo changes following the adoption of Industry 4.0 using literature review, which is defined as second-hand data, and to discuss the issues considering the restructuring of management-organisation of enterprises in accordance with this developing trend.

Implementation of MQTT protocol based network architecture for smart factory

2021 ◽  
pp. 095440542110144
Author(s):  
Chia-Shin Yeh ◽  
Shang-Liang Chen ◽  
I-Ching Li
Keyword(s):  
Machine Tool ◽  
Gesture Recognition ◽  
Manufacturing Process ◽  
Network Architecture ◽  
Information Management System ◽  
Edge Computing ◽  
Smart Factory ◽  
Smart Manufacturing ◽  
Industrial Iot ◽  
Computing Module

The core concept of smart manufacturing is based on digitization to construct intelligent production and management in the manufacturing process. By digitizing the production process and connecting all levels from product design to service, the purpose of improving manufacturing efficiency, reducing production cost, enhancing product quality, and optimizing user experience can be achieved. To digitize the manufacturing process, IoT technology will have to be introduced into the manufacturing process to collect and analyze process information. However, one of the most important problems in building the industrial IoT (IIoT) environment is that different industrial network protocols are used for different equipment in factories. Therefore, the information in the manufacturing process may not be easily exchanged and obtained. To solve the above problem, a smart factory network architecture based on MQTT (MQ Telemetry Transport), IoT communication protocol, is proposed in this study, to construct a heterogeneous interface communication bridge between the machine tool, embedded device Raspberry Pi, and website. Finally, the system architecture is implemented and imported into the factory, and a smart manufacturing information management system is developed. The edge computing module is set up beside a three-axis machine tool, and a human-machine interface is built for the user controlling and monitoring. Users can also monitor the system through the dynamically updating website at any time and any place. The function of real-time gesture recognition based on image technology is developed and built on the edge computing module. The gesture recognition results can be transmitted to the machine controller through MQTT, and the machine will execute the corresponding action according to different gestures to achieve human-robot collaboration. The MQTT transmission architecture developed here is validated by the given edge computing application. It can serve as the basis for the construction of the IIoT environment, assist the traditional manufacturing industry to prepare for digitization, and accelerate the practice of smart manufacturing.

Edge Computing for Industrial IoT: Challenges and Solutions

2020 ◽  
pp. 225-240
Author(s):  
Erkki Harjula ◽  
Alexander Artemenko ◽  
Stefan Forsström
Keyword(s):  
Edge Computing ◽  
Industrial Iot

scholarly journals Approach to an automatic prediction of the state of industrial manipulators using machine learning methods

2021 ◽  
Vol 24 (1) ◽  
pp. 48-54
Author(s):  
A. S. Goncharov ◽  
◽  
A. O. Savelev ◽  
A. S. Pisankin ◽  
A. Y. Chepkasov ◽  
...  
Keyword(s):  
Machine Learning ◽  
Information Technologies ◽  
Industrial Revolution ◽  
Industrial Robots ◽  
Learning Methods ◽  
Emergency Situations ◽  
Machine Learning Methods ◽  
Technological Chain ◽  
Using Data ◽  
Working Out

Due to intensive development of information technologies and the onset of 4th industrial revolution the number of robotic industries is steadily growing. The volume of production and the use of robots is also increasing. At the same time, the support and the management of digital production is being rapidly developing. The robotic systems are incapable of completely excluding a person from the technological chain, since they need timely maintenance and personnel working out the emergency situations. One of the solutions to reduce the risk of unexpected breakdowns is a predictive approach to the maintenance. The implementation of this approach is carried out using data analysis tools. This study presents the results of applying machine learning methods to analyze data from industrial robots in order to predict potential failures

scholarly journals Integration of Pedagogical and Production Factors in the Process of the Formation of Industry 4.0

TEM Journal ◽  
2021 ◽  
pp. 1964-1970
Author(s):  
Nikolay Chapaev ◽  
Olga Akimova ◽  
Yevgeniy Dorozhkin ◽  
Andrey Efanov ◽  
Ekaterina Bychkova
Keyword(s):  
Industry 4.0 ◽  
Industrial Revolution ◽  
Rapid Development ◽  
Student Assessment ◽  
Teacher Assessment ◽  
Educational Process ◽  
Production Factors ◽  
Ancient Times ◽  
Relationship Of ◽  
The Relationship

The rapid development of Industry 4.0 as a result of the Fourth Industrial Revolution brings back the relationship of pedagogy and production to mutual integration that has been their characteristic since ancient times. The study revealed high digital readiness of students (4.24 according to the student assessment and 2.82 according to the teacher assessment on a 5- point scale) and very low readiness of production to accept integrated learning (1.68 and 2.67, respectively), as well as the poor digitalization of the educational process according to the students and teachers, who are more closely familiar with the reality of production (2.03 and 2.45, respectively).

scholarly journals Digital Student Conference Platform Implementation: The case study of the “Research Project” course

2016 ◽  
Vol 12 (2) ◽  
pp. 5 ◽  
Author(s):  
Vasileios Orfanakis ◽  
Stamatios Papadakis ◽  
Michail Kalogiannakis ◽  
Maria Ampartzaki ◽  
Kostas Vassilakis
Keyword(s):  
Distance Learning ◽  
Learning Process ◽  
Teaching And Learning ◽  
Industrial Revolution ◽  
Rapid Development ◽  
Research Project ◽  
Digital Platform ◽  
Educational Methods ◽  
Active Involvement ◽  
Digital Ecosystem

Today, during the ‘fourth industrial revolution’ which is led by the Internet and the digital ecosystem it creates, schools are expected to achieve the development of not only the functional skills of literacy and numeracy but also of general knowledge. The apparent inadequacy of the standardized education system to respond to the needs and interests of 21st-century students urges researchers to adopt new forms of teaching as meaningful and high-quality teaching requires a more active use of innovative educational methods and tools. With the rapid development of IT globally, there is a tendency to utilize the capabilities of e-learning as a mode of distance learning since itcan function both independently of and in conjunction with conventional teaching. The varied applications of Web 2.0 tools create new possibilities in the educational sector. It provides the ability to develop innovative educational methods that transform students from passive recipients of information to knowledge creators through an active involvement in the learning process often within a modern interactive environment. This study presents the results of the implementation of a teaching intervention, with the use of a flexible and student-centered web system developed and used as complementary to the ‘Research Project’ course during the first term of the 2015-2016 school year. The ultimate goal of this effort was to highlight and consequently incorporate the use of a digital platform for student conferences which we implemented in schools as a means to research, learning, and skill development. The students had the opportunity to participate in a digital community which employed distance learning tools for communication, cooperation, and learning during a digital conference in which they had leading roles as writers and reviewers. The initial results of the pilot study indicated that the use of the digital platform increased the interest of students, supported the development of various skills and contributed to the overall improvement of the teaching and learning process.

scholarly journals Implementation of Human Resources Information Systems in Industrial Revolution 4.0: Case Study of Sekolah Tinggi Pariwisata Bali Internasional

2020 ◽  
Vol 6 (2) ◽  
pp. 367
Author(s):  
Kadek Ari Styawati ◽  
A.A.N. Eddy Supriyadinata Gorda
Keyword(s):  
Human Resources ◽  
Information And Communication Technology ◽  
Communication Technology ◽  
Industrial Revolution ◽  
Rapid Development ◽  
Organizational Management ◽  
Inhibiting Factors ◽  
Human Resources Information Systems ◽  
Information And Communication

The rapid development of information and communication technology offers solutions in effective and efficient organizational management. The implementation of information technology becomes an important aspect in the competition in the digital arena. This study aims to examine in-depth about how the application of HRIS in STPBI. The research results showed that the implementation of HRIS at STPBI is used as a strategic activity in optimizing HR functions. The transformation and implementation of HRIS has several supporting and inhibiting factors. These supporting and inhibiting factors are combined in the development of HR in line with the theoretical and literary concepts used in this study. Through integrated work synergies in the field of staffing, transparency and availability of information is very helpful in decision making. The implementation of HRIS at STPBI is based on the paradigm of a balance between supporting factors and inhibiting factors.

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