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Key role and potential of Industrial Internet of Things (IIoT) in modern production monitoring applications

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TLDR
The following paper presents a key role and potential of Industrial Internet of Things in industrial applications as a solution for monitoring and maintaining manufacturing assets.
Abstract
The following paper presents a key role and potential of Industrial Internet of Things (IIoT) in industrial applications as a solution for monitoring and maintaining manufacturing assets. IIoT is particularly important due to progressing computerisation of hardware resources leading to development of a virtualised model of autonomous real-time production management. Adequately article presents case study of IIoT use in production environment – both methodical and analytic approach is presented.

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Journal ArticleDOI

Upgrading the manufacturing sector via applications of Industrial Internet of Things (IIoT)

TL;DR: In this paper, the authors provide an overview of the Industrial Internet of Things (IIoT) and the technologies that underpin it, and the primary benefits and features of IIoT in manufacturing are discussed in detail.
Journal ArticleDOI

Matrix profile implementation perspective in Industrial Internet of Things production maintenance application

TL;DR: The matrix profile processing is considered for the implementation of production maintenance tasks in the context of data acquisition by industrial Internet of Things solutions, presenting the method of processing non-labelled data registered by sensors.
Journal ArticleDOI

The impact of selected components of industry 4.0 on project management

TL;DR: In this article , the authors scrutinize the relationship between a project success and the selected components of Industry 4.0, and find strong possibility for components of industry 4-0 to be adapted as a predictor of project success, especially for digital upgrade and improvement.
References
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Proceedings ArticleDOI

Cyber Physical Systems: Design Challenges

TL;DR: It is concluded that it will not be sufficient to improve design processes, raise the level of abstraction, or verify designs that are built on today's abstractions to realize the full potential of cyber-Physical Systems.

Cyber-physical Systems

TL;DR: Cyber-Physical Systems allow the interaction between two worlds, machines and the internet, by means of a computer-based algorithm tightly coupled with the user, typically highly complex and distributed systems.
Book ChapterDOI

Industrial Internet of Things and Cyber Manufacturing Systems

TL;DR: This opening chapter gives a brief introduction of the development of IIoT introducing also the Digital Factory and cyber-physical systems as well as potentials regarding the application in Industry 4.0.
Journal ArticleDOI

Industrial Big Data as a Result of IoT Adoption in Manufacturing

TL;DR: This paper presents how the adoption of IoT in manufacturing, considering sensory systems and mobile devices, will generate industrial Big Data, and a developed IoT application is presented showing how real industrial data can be generated leading to Industrial Big Data.
Journal ArticleDOI

Modeling industry 4.0 based fog computing environments for application analysis and deployment

TL;DR: This paper analyses the outcomes of experiments to derive a new reference model with data driven parameter formulations and representations to help understand the effect of migration on these systems and finds that the model is 90% accurate on load and delay predictions for application deployments in both cloud and edge.
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