基于增强现实的制造数据记录系统设计与实现
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西安交通大学 机械工程学院

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国家自然科学基金项目(2018AAA0101800);西飞内部合作项目(CXJJ-202003)


Design and implementation of manufacturing data recording system based on augmented reality
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    摘要:

    针对传统制造业数字化水平不高的问题,提出了基于增强现实的生产数据记录系统。分析了车间数字化转型的软件架构需求,应用了RESTful风格的前后端分离软件架构,将系统数据库和前端应用解耦,实现了基于HTTP协议的网络通讯。通过包含BLSTM的深度学习算法,对设备仪表图像进行检测识别,实现了制造过程关键生产数据智能化获取。通过对生产流程的分析和多维信息之间的联系,建立了基于增强现实的引导式生产数据记录应用。生产实践证明,系统能够实现生产任务的引导和过程数据的记录,工人工作效率提高,系统响应迅速,有利于车间生产过程的数字化转型。

    Abstract:

    Aiming at the digital requirement of traditional manufacturing industry, the production data recording system based on augmented reality(AR) is put forward. The software architecture requirement of workshop digital transformation is analyzed, the software architecture of front-end separation of RESTful style is applied, the system database and front-end application are decoupled, and the network communication based on http protocol is realized. By the deep learning algorithm including Bi-directional Long Short-Term Memory(BiLSTM), the equipment instrument image is detected and recognized, and the key production data of manufacturing process are obtained intelligently. Through the analysis of production process and the relationship between multi-dimensional information, the application of guided production data recording based on augmented reality is established. Production practice proves that the system can realize the guidance of production task and record of process data, improve the working efficiency of workers and respond quickly, which is beneficial to the digital transformation of workshop production process.

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孙卓见,李红卫,左康,赵飞,梅雪松.基于增强现实的制造数据记录系统设计与实现计算机测量与控制[J].,2021,29(7):259-263.

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  • 收稿日期:2020-12-03
  • 最后修改日期:2020-12-15
  • 录用日期:2020-12-15
  • 在线发布日期: 2021-07-23
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