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A human-cyber-physical system for Operator 5.0 smart risk assessment

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posted on 2023-11-03, 14:01 authored by Alessandro Simeone, Rebecca GrantRebecca Grant, Weilin Ye, Alessandra Caggiano

In the context of Industry 5.0, characterized by the human-centred transformation of manufacturing processes, assessing operator risk is crucial for ensuring workplace safety and well-being. In this respect, this paper presents the development of a human-cyber-physical system (HCPS) capable of estimating operator risk by leveraging diverse sensing data. By comprehensively analysing complex patterns and interactions among physiological, environmental, and manufacturing variables, the HCPS offers an advanced approach to operator risk assessment. Through the integration of cutting-edge sensing technologies, real-time data collection, and sophisticated analytics paradigms, the HCPS accurately identifies meaningful patterns and anomalies. It dynamically adapts to changing manufacturing conditions, generating risk profiles for operators and work processes. Timely alerts and notifications enable proactive interventions, enhancing safety measures and optimizing work processes. The HCPS empowers decision-making and supporting the well-being and productivity of operators in the Industry 5.0 paradigm, while maintaining a safe working environment. A simulated case study is reported to validate the proposed framework on a variety of industrial scenarios.

Funding

Made Smarter Innovation - People-Led Digitalisation

Department for Business, Energy and Industrial Strategy

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Natural Science Foundation of Guangdong Province (No. 2022A1515011359)

Science and Technology Planning Project of Guangdong Province (Nos. STKJ2021131 and 180914204960289)

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

The International Journal of Advanced Manufacturing Technology

Volume

129

Issue

5-6

Pages

2763 - 2782

Publisher

Springer

Version

  • VoR (Version of Record)

Rights holder

© The Author(s)

Publisher statement

This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

Acceptance date

2023-10-04

Publication date

2023-10-19

Copyright date

2023

ISSN

0268-3768

eISSN

1433-3015

Language

  • en

Depositor

Dr Rebecca Grant. Deposit date: 21 October 2023

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