scholarly journals Visibility of resources and assets in the shipyard through industrial internet of things

2021 ◽  
Vol 11 (2) ◽  
pp. 88-101
Author(s):  
Ibrahim Cil ◽  
Fahri Arisoy ◽  
Hilal Kilinc
Keyword(s):  
Internet Of Things ◽  
Transformation Process ◽  
Digital Transformation ◽  
Sensor Data ◽  
Cyber Physical System ◽  
Industrial Internet Of Things ◽  
Use Of Data ◽  
Industrial Internet ◽  
Industrial Iot ◽  
Other Information

Industrial Internet of Things is becoming one of the fundamental technologies with the potential to be widely used in shipyards as in other industries to increase information visibility. This article aims to analyze how to develop an industrial IoT-enabled system that provides visibility and tracking of assets at SEDEF Shipyard, which is in the digital transformation process. The research made use of data from previous studies and by using content analysis, the findings were discussed. Industrial IoT enables the collection and analysis of data for more informed decisions.  Based on the findings, sensor data in the shipyard are transmitted to the cloud via connected networks. These data are analysed and combined with other information and presented to the stakeholders. Industrial IoT enables this data flow and monitors processes remotely and gives the ability to quickly change plans as needed. Keywords: Shipyard, Industrial Internet of Things, Cyber-Physical System, Visibility, Assets tracking;        

scholarly journals Special Issue on New Industry 4.0 Advances in Industrial IoT and Visual Computing for Manufacturing Processes

2019 ◽  
Vol 9 (20) ◽  
pp. 4323 ◽  
Author(s):  
López de Lacalle ◽  
Posada
Keyword(s):  
Internet Of Things ◽  
Industry 4.0 ◽  
Research Community ◽  
Manufacturing Processes ◽  
Special Issue ◽  
Industrial Internet Of Things ◽  
Visual Computing ◽  
Industrial Internet ◽  
Industrial Iot ◽  
New Industry

The new advances of IIOT (Industrial Internet of Things), together with the progress in visual computing technologies, are being addressed by the research community with interesting approaches and results in the Industry 4.0 domain[...]

scholarly journals Advances in Future Internet and the Industrial Internet of Things

Symmetry ◽  
2019 ◽  
Vol 11 (2) ◽  
pp. 244 ◽  
Author(s):  
Jong Park
Keyword(s):  
Internet Of Things ◽  
Communication Networks ◽  
Future Internet ◽  
Resource Provisioning ◽  
Sensor Data ◽  
Third Wave ◽  
Industrial Internet Of Things ◽  
Privacy And Security ◽  
Industrial Internet ◽  
Use Of Internet

After the emergence of the Internet and mobile communication networks, the IoT has been considered as the third wave of information technology. The Industrial Internet of Things (IIoT) is the use of Internet of Things (IoT) technologies in manufacturing. IIoT incorporates machine learning and big data technology, sensor data, and machine-to-machine (M2M) communications that have existed in industrial areas for years. In the future, people and objects will be connected at any time, any place, with anything and anyone and will utilize any network and services. IIoT is creating a new world in which people and businesses can manage their assets in more informed ways and can make more opportune and better-informed decisions. Many advanced IIoT and 5G technologies have been successfully applied in everyday life, but there are still many practical problems tackled by traditional methods which are generally difficult to experimentally solve in the advanced Industrial Internet of Things. Therefore, in this special issue, we accepted five articles in three different dimensions: communication networks, optimized resource provisioning and data forwarding, privacy and security.

scholarly journals QoS-Driven Adaptive Trust Service Coordination in the Industrial Internet of Things

Sensors ◽  
2018 ◽  
Vol 18 (8) ◽  
pp. 2449
Author(s):  
Jin Qi ◽  
Zian Wang ◽  
Bin Xu ◽  
Mengfei Wu ◽  
Zian Gao ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Search Space ◽  
Gray Wolf ◽  
Service Coordination ◽  
Trust Evaluation ◽  
Industrial Internet Of Things ◽  
Industrial Services ◽  
Coordination Model ◽  
Industrial Internet ◽  
Industrial Iot

The adaptive coordination of trust services can provide highly dependable and personalized solutions for industrial requirements in the service-oriented industrial internet of things (IIoT) architecture to achieve efficient utilization of service resources. Although great progress has been made, trust service coordination still faces challenging problems such as trustless industry service, poor coordination, and quality of service (QoS) personalized demand. In this paper, we propose a QoS-driven and adaptive trust service coordination method to implement Pareto-efficient allocation of limited industrial service resources in the background of the IIoT. First, we established a Pareto-effective and adaptive industrial IoT trust service coordination model and introduced a blockchain-based adaptive trust evaluation mechanism to achieve trust evaluation of industrial services. Then, taking advantage of a large and complex search space for solution efficiency, we introduced and compared multi-objective gray-wolf algorithms with the particle swarm optimization (PSO) and dragonfly algorithms. The experimental results showed that by judging and blacklisting malicious raters quickly and accurately, our model can efficiently realize self-adaptive, personalized, and intelligent trust service coordination under the given constraints, improving not only the response time, but also the success rate in coordination.

scholarly journals Cyber-physical systems of the industrial Internet of things

2021 ◽  
Vol 16 (92) ◽  
pp. 72-81
Author(s):  
Emil A. Gumerov ◽  
◽  
Tamara V. Alekseeva ◽  
Keyword(s):  
Information Security ◽  
Internet Of Things ◽  
Industrial Application ◽  
Cyber Physical Systems ◽  
The Internet ◽  
Cyber Physical System ◽  
Industrial Internet Of Things ◽  
Physical Systems ◽  
Industrial Internet ◽  
The Internet Of Things

Cyber-physical systems are a means of effectively managing industrial applications of the Internet of things. Physical layer cyber-physical system implements the control devices of the industrial Internet of things and intelligent algorithms digital system level provide management and information security applications. Effective management and information security determine the success of the industrial Internet of things, so the research topic is relevant. The purpose of this article is to develop an optimal architecture of a cyber-physical system based on the principles of data processing at the place of their occurrence and the application of a control action at the place of the problem occurrence. The authors were faced with the task of exploring all the possibilities associated with the application of the proposed principles and developing an optimal application architecture for the industrial Internet of things. In the study proposed the concept of intelligent application of industrial Internet of things, which enables processing of continuously generated data in their source and provides application control action to the location of the problem. The proposed solution: a) increases the information security of the industrial application of the Internet of things (data is not transmitted over the network) and b) prevents an attack on the software of the Industrial application of the Internet of things. The solution can be used by developers of industrial IoT systems to effectively launch and implement projects

TACKLING HURDLES TO DIGITAL TRANSFORMATION — THE ROLE OF COMPETENCIES FOR SUCCESSFUL INDUSTRIAL INTERNET OF THINGS (IIoT) IMPLEMENTATION

2019 ◽  
Vol 23 (04) ◽  
pp. 1950036 ◽  
Author(s):  
JENS BUTSCHAN ◽  
SVEN HEIDENREICH ◽  
BENJAMIN WEBER ◽  
TOBIAS KRAEMER
Keyword(s):  
Internet Of Things ◽  
Management Practice ◽  
Innovation Management ◽  
Empirical Studies ◽  
Digital Transformation ◽  
Industrial Internet Of Things ◽  
Research And Innovation ◽  
Industrial Internet ◽  
Employee Competencies

Scientific research and innovation management practice have emphasised the important role of individual competencies in meeting the challenges of the digital transformation. However, it still lacks empirical studies that strive to determine how certain competencies of employees might affect the success of the digital transformation itself. In order to empirically determine the individual contribution of specific employee competencies to a successful digital transformation in terms of a high Industrial Internet of Things (IIoT) usage performance, a quantitative study among German component manufacturers of the capital goods industry was conducted. Drawing upon a sample of 284 employees, our results reveal that high developed cognitive and processual competencies of individuals promote the digital transformation processes of a firm. Surprisingly, social competencies have only a little influence. Furthermore, our findings also confirmed that a high IIoT usage performance is beneficial for a firm, significantly enhancing divisional success.

scholarly journals Application of Internet of Things in Industry 4.0

2021 ◽  
Vol 5 (2) ◽  
pp. 49-58
Author(s):  
Kremena Marinova-Kostova ◽  
Ivaylo Kostov
Keyword(s):  
Internet Of Things ◽  
Industrial Production ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
Digital Transformation ◽  
The Internet ◽  
Industrial Internet Of Things ◽  
Industrial Enterprises ◽  
Industrial Internet ◽  
The Internet Of Things

Introduction. Industry 4.0 is a concept that is considered a new phase in the Industrial Revolution, closely related to the application of information technologies and the digital transformation of manufacturing. The main purpose is to be created a more holistic and more connected ecosystem, focused on supply chain management in industrial companies. Implementation of solutions in Industry 4.0 is mostly related to the concept of the Internet of Things (IoT). Mass deployment of this type of technology in industrial enterprises is the basis of the so-called Industrial Internet of Things (IIoT). Achieving interoperability in the IIoT requires the combination of two technologies: the Internet of Things and the Internet of People. Aim and tasks. This article describes the implementation of the concept of the Internet of Things in industrial enterprises, as a key technology factor for developing Industry 4.0. Results. A brief overview of the evolution of industrial production - from the beginning of the Industrial Revolution to the emergence of Industry 4.0 is made. The main principles for implementing Industry 4.0 solutions ensure that the entire production process is computerized. Industry 4.0 solutions are mostly associated with the concept of the Internet of Things (IoT) whose definition and essence are obtained in this article. Based on the various concepts of the IoT are presented solutions that can be used in the industry, namely: in consumer devices in technology used in public organizations in infrastructure applications in industrial applications, also called the Industrial Internet of Things (IIoT). Therefore, we can say that there is a significant potential for improving production processes as regards: optimization of operations, forecasting equipment support, inventory optimization, improving workers' security, shipping chain optimization, etc. Conclusions. The application of the Internet of Things in enterprises is an important and decisive step in the process of their digital transformation and transition to Industry 4.0. The interaction between humans and machines, carried out through Internet technologies, leads to the emergence of the Internet of Everything, which will be a basic concept in industrial production in the coming years. However, the role of man in the production process should not be completely eliminated, but solutions should be sought that support and intellectualize his work.

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