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Research on the human injury risk assessment and prediction of operations on large equipment with confined space.

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Title: Research on the human injury risk assessment and prediction of operations on large equipment with confined space.
Authors: Yin, Mingyue1 (AUTHOR), Li, Jianguang1 (AUTHOR) mejgli@hit.edu.cn, Yan, Yuxuan1 (AUTHOR), Wang, Silu1 (AUTHOR), Yang, Yuhang1 (AUTHOR), Liu, Yicheng1 (AUTHOR)
Source: International Journal of Production Research. Jun2026, Vol. 64 Issue 12, p5070-5094. 25p.
Subjects: Injury risk factors, Confined spaces (Work environment), Industry 4.0, Wounds & injuries, Industrial equipment, Human activity recognition, Prevention of injury
Abstract: Industry 5.0 emphasises more human-oriented manufacturing approaches, creating an environment that prioritises human well-being. Operators often need to enter confined spaces and operate in uncomfortable postures in some industries, such as mining, construction, and shipbuilding, for assembly/maintenance processes. So far, there has been relatively little research on the human injury risks of operations in large equipment with confined spaces. In this study, the characteristics of the operating environment in confined spaces are analysed, and the operation postures in confined spaces are divided into 9 classes to assess injury risk. Quantitative and comprehensive evaluation methods are proposed for human joint injury risk in large equipment confined space operations. Furthermore, based on the operation posture data in the large equipment confined space, human operation injury risk prediction model in confined space (HOIRPiCS) is proposed. The model takes the operation posture class, operation load, and human height as input and predicts the comprehensive operation injury risk class. Combined with the prediction results of HOIRPiCS, the risk prevention and control strategies can be optimised from multiple perspectives, such as prevention, learning, resilience, collaboration, self-organisation and optimisation. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Production Research is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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An: 194490077
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PubTypeId: academicJournal
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  Data: Research on the human injury risk assessment and prediction of operations on large equipment with confined space.
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  Data: <searchLink fieldCode="AR" term="%22Yin%2C+Mingyue%22">Yin, Mingyue</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Li%2C+Jianguang%22">Li, Jianguang</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> mejgli@hit.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Yan%2C+Yuxuan%22">Yan, Yuxuan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Silu%22">Wang, Silu</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yang%2C+Yuhang%22">Yang, Yuhang</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Liu%2C+Yicheng%22">Liu, Yicheng</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Production+Research%22">International Journal of Production Research</searchLink>. Jun2026, Vol. 64 Issue 12, p5070-5094. 25p.
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  Data: <searchLink fieldCode="DE" term="%22Injury+risk+factors%22">Injury risk factors</searchLink><br /><searchLink fieldCode="DE" term="%22Confined+spaces+%28Work+environment%29%22">Confined spaces (Work environment)</searchLink><br /><searchLink fieldCode="DE" term="%22Industry+4%2E0%22">Industry 4.0</searchLink><br /><searchLink fieldCode="DE" term="%22Wounds+%26+injuries%22">Wounds & injuries</searchLink><br /><searchLink fieldCode="DE" term="%22Industrial+equipment%22">Industrial equipment</searchLink><br /><searchLink fieldCode="DE" term="%22Human+activity+recognition%22">Human activity recognition</searchLink><br /><searchLink fieldCode="DE" term="%22Prevention+of+injury%22">Prevention of injury</searchLink>
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  Label: Abstract
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  Data: Industry 5.0 emphasises more human-oriented manufacturing approaches, creating an environment that prioritises human well-being. Operators often need to enter confined spaces and operate in uncomfortable postures in some industries, such as mining, construction, and shipbuilding, for assembly/maintenance processes. So far, there has been relatively little research on the human injury risks of operations in large equipment with confined spaces. In this study, the characteristics of the operating environment in confined spaces are analysed, and the operation postures in confined spaces are divided into 9 classes to assess injury risk. Quantitative and comprehensive evaluation methods are proposed for human joint injury risk in large equipment confined space operations. Furthermore, based on the operation posture data in the large equipment confined space, human operation injury risk prediction model in confined space (HOIRPiCS) is proposed. The model takes the operation posture class, operation load, and human height as input and predicts the comprehensive operation injury risk class. Combined with the prediction results of HOIRPiCS, the risk prevention and control strategies can be optimised from multiple perspectives, such as prevention, learning, resilience, collaboration, self-organisation and optimisation. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of International Journal of Production Research is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1080/00207543.2025.2574408
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      – Code: eng
        Text: English
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        PageCount: 25
        StartPage: 5070
    Subjects:
      – SubjectFull: Injury risk factors
        Type: general
      – SubjectFull: Confined spaces (Work environment)
        Type: general
      – SubjectFull: Industry 4.0
        Type: general
      – SubjectFull: Wounds & injuries
        Type: general
      – SubjectFull: Industrial equipment
        Type: general
      – SubjectFull: Human activity recognition
        Type: general
      – SubjectFull: Prevention of injury
        Type: general
    Titles:
      – TitleFull: Research on the human injury risk assessment and prediction of operations on large equipment with confined space.
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          Name:
            NameFull: Yin, Mingyue
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            NameFull: Li, Jianguang
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            NameFull: Yan, Yuxuan
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            NameFull: Wang, Silu
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            NameFull: Yang, Yuhang
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            NameFull: Liu, Yicheng
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            – D: 15
              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
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              Value: 64
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