Abstract

Recent advances in technology have empowered the widespread application of cyber–physical systems in manufacturing and fostered the Industry 4.0 paradigm. In the factories of the future, it is possible that all items, including operators, will be equipped with integrated communication and data processing capabilities. Operators can become part of the smart manufacturing systems, and this fosters a paradigm shift from independent automated and human activities to human–cyber–physical systems (HCPSs). In this context, a Healthy Operator 4.0 (HO4.0) concept was proposed, based on a systemic view of the Industrial Internet of Things (IIoT) and wearable technology. For the implementation of this relatively new concept, we constructed a unified architecture to support the integration of different enabling technologies. We designed an implementation model to facilitate the practical application of this concept in industry. The main enabling technologies of the model are introduced afterward. In addition, a prototype system was developed, and relevant experiments were conducted to demonstrate the feasibility of the proposed system architecture and the implementation framework, as well as some of the derived benefits.

Highlights

  • The continuous technological innovations in the domains of information technology (IT), the Internet of Things (IoT), and artificial intelligence (AI), among others, have significantly changed production systems [1,2,3]. Recent advances of these technologies have enabled a systematical implementation of cyber–physical systems (CPS) in manufacturing, which has significantly improved the efficiency of production systems and made them perform more resiliently and collaboratively

  • In the Industry 4.0 era, all items in a smart factory will be equipped with integrated communication and certain data processing capabilities, by the so called Industrial Internet of Things (IIoT)

  • The working environment of operators for this particular case study is dissatisfying as shown in Figure 6, due to different aspects where the actual exposition levels exceeded the threshold limit value (TLV)

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Summary

Introduction

The continuous technological innovations in the domains of information technology (IT), the Internet of Things (IoT), and artificial intelligence (AI), among others, have significantly changed production systems [1,2,3] Recent advances of these technologies have enabled a systematical implementation of cyber–physical systems (CPS) in manufacturing, which has significantly improved the efficiency of production systems and made them perform more resiliently and collaboratively. Sensors 2020, 20, 2011 itself refers to a comprehensive physical and functional description of a component, product, or system, which includes more or less all information that could be useful in all lifecycle phases [7] This represents a seamless integration between both worlds, meaning that the digital part can virtually replicate the behavior of the physical counterpart and, be used to create new added value services in both directions

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