Towards AI-based Sustainable and XR-based human-centric manufacturing: Implementation of ISO 23247 for digital twins of production systems

Fuente: arXiv
Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Cao, Huizhong, Söderlund, Henrik, Fang, Qi, Chen, Siyuan, Erdal, Lejla, Gubartalla, Ammar, Lopes, Paulo Victor, Shao, Guodong, Lonnehed, Per, Putto, Henri, Ahmed, Abbe, Ekered, Sven, Johansson, Björn
Format: Preprint
Veröffentlicht: 2025
Schlagworte:
Online-Zugang:
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
_version_ 1866909745419386880
author Cao, Huizhong
Söderlund, Henrik
Fang, Qi
Chen, Siyuan
Erdal, Lejla
Gubartalla, Ammar
Lopes, Paulo Victor
Shao, Guodong
Lonnehed, Per
Putto, Henri
Ahmed, Abbe
Ekered, Sven
Johansson, Björn
author_facet Cao, Huizhong
Söderlund, Henrik
Fang, Qi
Chen, Siyuan
Erdal, Lejla
Gubartalla, Ammar
Lopes, Paulo Victor
Shao, Guodong
Lonnehed, Per
Putto, Henri
Ahmed, Abbe
Ekered, Sven
Johansson, Björn
contents Since the introduction of Industry 4.0, digital twin technology has significantly evolved, laying the groundwork for a transition toward Industry 5.0 principles centered on human-centricity, sustainability, and resilience. Through digital twins, real-time connected production systems are anticipated to be more efficient, resilient, and sustainable, facilitating communication and connectivity between digital and physical systems. However, environmental performance and integration with virtual reality (VR) and artificial intelligence (AI) of such systems remain challenging. Further exploration of digital twin technologies is needed to validate the real-world impact and benefits. This paper investigates these challenges by implementing a real-time digital twin based on the ISO 23247 standard, connecting the physical factory and simulation software with VR capabilities. This digital twin system provides cognitive assistance and a user-friendly interface for operators, thereby improving cognitive ergonomics. The connection of the Internet of Things (IoT) platform allows the digital twin to have real-time bidirectional communication, collaboration, monitoring, and assistance. A lab-scale drone factory was used as the digital twin application to test and evaluate the ISO 23247 standard and its potential benefits. Additionally, AI integration and environmental performance Key Performance Indicators (KPIs) have been considered as the next stages in improving VR-integrated digital twins. With a solid theoretical foundation and a demonstration of the VR-integrated digital twins, this paper addresses integration issues between various technologies and advances the framework of digital twins based on ISO 23247.
format Preprint
id arxiv_https___arxiv_org_abs_2508_14580
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Towards AI-based Sustainable and XR-based human-centric manufacturing: Implementation of ISO 23247 for digital twins of production systems
Cao, Huizhong
Söderlund, Henrik
Fang, Qi
Chen, Siyuan
Erdal, Lejla
Gubartalla, Ammar
Lopes, Paulo Victor
Shao, Guodong
Lonnehed, Per
Putto, Henri
Ahmed, Abbe
Ekered, Sven
Johansson, Björn
Human-Computer Interaction
Since the introduction of Industry 4.0, digital twin technology has significantly evolved, laying the groundwork for a transition toward Industry 5.0 principles centered on human-centricity, sustainability, and resilience. Through digital twins, real-time connected production systems are anticipated to be more efficient, resilient, and sustainable, facilitating communication and connectivity between digital and physical systems. However, environmental performance and integration with virtual reality (VR) and artificial intelligence (AI) of such systems remain challenging. Further exploration of digital twin technologies is needed to validate the real-world impact and benefits. This paper investigates these challenges by implementing a real-time digital twin based on the ISO 23247 standard, connecting the physical factory and simulation software with VR capabilities. This digital twin system provides cognitive assistance and a user-friendly interface for operators, thereby improving cognitive ergonomics. The connection of the Internet of Things (IoT) platform allows the digital twin to have real-time bidirectional communication, collaboration, monitoring, and assistance. A lab-scale drone factory was used as the digital twin application to test and evaluate the ISO 23247 standard and its potential benefits. Additionally, AI integration and environmental performance Key Performance Indicators (KPIs) have been considered as the next stages in improving VR-integrated digital twins. With a solid theoretical foundation and a demonstration of the VR-integrated digital twins, this paper addresses integration issues between various technologies and advances the framework of digital twins based on ISO 23247.
title Towards AI-based Sustainable and XR-based human-centric manufacturing: Implementation of ISO 23247 for digital twins of production systems
topic Human-Computer Interaction
url https://arxiv.org/abs/2508.14580