Advances in Manufacturing ›› 2021, Vol. 9 ›› Issue (1): 104-114.doi: 10.1007/s40436-020-00334-x

• ARTICLES • 上一篇    

Improving maintenance effi ciency and safety through a human-centric approach

C. Y. Siew1, S. K. Ong1,2, A. Y. C. Nee1,2   

  1. 1 Graduate School for Integrative Sciences and Engineering, National University of Singapore, 28 Medical Drive, Singapore 117456, Singapore;
    2 Department of Mechanical Engineering, National University of Singapore, 9 Engineering Drive 1, Singapore 117576, Singapore
  • 收稿日期:2020-05-29 修回日期:2020-10-05 发布日期:2021-02-27
  • 通讯作者: S. K. Ong E-mail:mpeongsk@nus.edu.sg

Improving maintenance effi ciency and safety through a human-centric approach

C. Y. Siew1, S. K. Ong1,2, A. Y. C. Nee1,2   

  1. 1 Graduate School for Integrative Sciences and Engineering, National University of Singapore, 28 Medical Drive, Singapore 117456, Singapore;
    2 Department of Mechanical Engineering, National University of Singapore, 9 Engineering Drive 1, Singapore 117576, Singapore
  • Received:2020-05-29 Revised:2020-10-05 Published:2021-02-27
  • Contact: S. K. Ong E-mail:mpeongsk@nus.edu.sg

摘要: This paper presents an adaptive human-machine interface (HMI) that can provide appropriate sets of digital maintenance information and guidance to an operator during maintenance. It takes into consideration the expertise level of the operator and the maintenance context and progress. The proposed human-centric methodology considers the heart rate, intention, and expertise level of the operator, which can be captured using sensors during maintenance. A set of rules is formulated based on the sensor data to infer the state of the operator during a maintenance task. Based on the operator state, the adaptive HMI can augment the operator's senses using a scheme that combines visual, audio, and haptic guidance cues during maintenance to enhance the operator's ability to perceive information and perform maintenance tasks. Various schemes of visual, audio, and haptic cues are developed based on a comparison of the best practices obtained from experienced operators.

The full text can be downloaded at https://link.springer.com/article/10.1007/s40436-020-00334-x

关键词: Augmented reality (AR), Ergonomics, Product development, Maintenance

Abstract: This paper presents an adaptive human-machine interface (HMI) that can provide appropriate sets of digital maintenance information and guidance to an operator during maintenance. It takes into consideration the expertise level of the operator and the maintenance context and progress. The proposed human-centric methodology considers the heart rate, intention, and expertise level of the operator, which can be captured using sensors during maintenance. A set of rules is formulated based on the sensor data to infer the state of the operator during a maintenance task. Based on the operator state, the adaptive HMI can augment the operator's senses using a scheme that combines visual, audio, and haptic guidance cues during maintenance to enhance the operator's ability to perceive information and perform maintenance tasks. Various schemes of visual, audio, and haptic cues are developed based on a comparison of the best practices obtained from experienced operators.

The full text can be downloaded at https://link.springer.com/article/10.1007/s40436-020-00334-x

Key words: Augmented reality (AR), Ergonomics, Product development, Maintenance