Design and Evaluation of AR-based Working Procedure for Maintenance Tasks
The goals of maintenance in nuclear power plants (NPPs)are to reduce the number of plant shutdowns, to decrease the shutdown time, to minimize the maintenance costs, and to improve nuclear safety. Maintenance personnel are prone to make errors during NPP maintenance work due to the complexity of NPPs, safety issues and time constraints. Augmented Reality (AR) has the potential to assist with maintenance tasks and make maintenance personnel concentrate on the tasks, which will then reduce human error and improve human performance. The working procedure for AR systems was designed based on the characteristics of cognitive activity, and an experiment was conducted to estimate the effectiveness of AR. The results indicated that a well-designed working procedure for AR systems was more effective and participants made fewer errors than a conventional paper-based working procedure. AR systems as maintenance support systems are beneficial technology that can improve maintenance performance by reducing cognitive loads and unnecessary movements.
Maintenance AR HMD SRK Framework
Koo Jwa Jin Kim In Seong Poong Hyun
Department of Nuclear and Quantum Engineering, Korea Advanced Institute of Science and Technology, Daejeon 305-701, Korea
国际会议
ISSNP2008、CSEPC、ISOFIC2008(第二届21世纪和谐核电系统国际会议、第四届电厂控制中认知系统工程方法国际会议暨第三届未来核电厂仪表与控制国际会议)
哈尔滨
英文
519-525
2008-09-08（万方平台首次上网日期，不代表论文的发表时间）