Augmented reality material management system based on post-processing of aero-engine blade code recognition

Jie Zhang, Shuxia Wang, Weiping He, Jianghong Li, Shixin Wu, Jiaxu Huang, Qiang Zhang, Manxian Wang

科研成果: 期刊稿件文章同行评审

12 引用 (Scopus)

摘要

The efficient management of aero-engine blades plays a vital role in improving material turnover and productivity, while the automatic recognition of blade code provides support for digital production. However, there is a lack of discussion about intelligent recognition, result correction, and effective solutions to material management methods for aero-engine blades. There is still a lot of manual work. Therefore, we developed an augmented reality (AR) material management system based on the post-processing of aero-engine blade code recognition, which not only supports the semi-automatic recognition of blade codes but also provides users with guidance on efficient storage and selection. Firstly, we proposed a line classification method of code Optical Character Recognition (OCR) recognition results to determine the structural relationship of discrete characters. Secondly, we constructed a Bayes error correction model which fuses the noise channel model to achieve the post-processing correction of wrong codes. Lastly, we developed the AR auxiliary guidance module to guide users on warehousing. The results show that the proposed line classification algorithm outperforms the baseline method, achieving a high success rate in terms of line classification. Post-processing error correction is effective in improving the accuracy of OCR results. In addition, AR visualization guidance can lead to a significant improvement in efficiency in material entry and out for aero-engine blades. In conclusion, the system proposed in this paper provides an effective solution to material management for the aero-engine blade.

源语言英语
页(从-至)564-578
页数15
期刊Journal of Manufacturing Systems
65
DOI
出版状态已出版 - 10月 2022

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