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Towards a digital human representation in an industrial digital twin

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conference contribution
posted on 27.11.2020, 15:17 by Dedy Ariansyah, Achim Buerkle, Ali Al-Yacoub, Melanie Zimmer, John Ahmet Erkoyuncu, Niels Lohse
Digital twins (DTs) have demonstrated their abilities to integrate sensor data, current state information, and the information about the environment in virtual models. While previous approaches have focused on creating DTs for mainly machines and workstations, a small number of studies have considered human performance when designing the DT system, which leads to a deficiency in overall system performance. The absence of the human integrated-DT framework may decelerate human integration in industrial DT, and thus, disregards the crucial role of the human in the industry of the future. This paper presents a framework for digital human representation in an industrial DT to continuously monitor and to analyse the human operational state and behaviour. Thereby, the DT enables decision-makers to allocate tasks on the shop floor taking into account the human physical and mental status. A sample case showed how a human muscle activity monitoring system could be integrated with the DT based on the developed framework to account for the operator’s muscular fatigue or physical exhaustion for decision-making. This included the use of Artificial Intelligence (AI) to interpret the human activity related data using wearable sensors, such as electromyography (EMG). Future research is proposed to harness human data from a richer variety of sensors as control parameters for production operation and improved decision-making.

Funding

Digital Toolkit for optimisation of operators and technology in manufacturing partnerships (DigiTOP)

Engineering and Physical Sciences Research Council

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History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

Proceedings of the 9th International Conference on Through-life Engineering Services (TESConf 2020)

Source

9th International Conference on Through-life Engineering Services (TESConf 2020)

Publisher

SSRN

Version

AM (Accepted Manuscript)

Rights holder

© The Authors

Publisher statement

This paper was accepted for publication in the Proceedings of the 9th International Conference on Through-life Engineering Services (TESConf 2020). The definitive published version is available at SSRN at https://ssrn.com/abstract=3717733 or http://dx.doi.org/10.2139/ssrn.3717733.

Publication date

2020-10-23

Language

en

Location

Cranfield University, Online Edition

Event dates

3rd November 2020 - 4th November 2020

Depositor

Miss Melanie Zimmer. Deposit date: 25 November 2020

Exports

Loughborough Publications

Categories

Exports