利用虚拟现实技术促进航空航天工业的工程师培训

Andrzej Paszkiewicz, Mateusz Salach, Dawid Wydrzyński, Joanna Woźniak, Grzegorz Budzik, Marek Bolanowski, Maria Ganzha, Marcin Paprzycki, Norbert Cierpicki
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引用次数: 0

摘要

这项工作涉及使用包括虚拟现实(VR)在内的现代信息技术实现培训过程的自动化。出发点是观察到汽车和航空航天工业需要有效的方法来培养工程人员。在此背景下,提取了数控数控机床准备操作的工艺流程。在此基础上,创建了一个专用的虚拟现实环境,模拟了选定飞机起落架部件的制造。为了全面分析所提出方法的利弊,四种形式的培训,包括物理数控机床,物理模拟器,软件模拟器和开发的VR环境的实例化。对每一种培训表格的特点进行了分析,分析了它们在工业应用方面的潜力。我们还在目标工程师群体中进行了一项使用净推荐值法的调查,以了解每种培训表格的使用潜力。结果,捕获了所有四种培训形式的优点和缺点。它们可以作为选择最有效的训练形式的标准。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Use of virtual reality to facilitate engineer training in the aerospace industry
This work concerns automation of the training process, using modern information technologies, including virtual reality (VR). The starting point is an observation that automotive and aerospace industries require effective methods of preparation of engineering personnel. In this context, the technological process of preparing operations of a CNC numerical machine has been extracted. On this basis, a dedicated virtual reality environment, simulating manufacturing of a selected aircraft landing gear component, was created. For a comprehensive analysis of the pros and cons of the proposed approach, four forms of training, involving a physical CNC machine, a physical simulator, a software simulator, and the developed VR environment were instantiated. The features of each training form were analysed in terms of their potential for industrial applications. A survey, using the Net Promoter Score method, was also conducted among a target group of engineers, regarding the potential of use of each training form. As a result, the advantages and disadvantages of all four training forms were captured. They can be used as criteria for selecting the most effective training form.
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来源期刊
Machine Graphics and Vision
Machine Graphics and Vision Computer Science-Computer Graphics and Computer-Aided Design
CiteScore
0.40
自引率
0.00%
发文量
1
期刊介绍: Machine GRAPHICS & VISION (MGV) is a refereed international journal, published quarterly, providing a scientific exchange forum and an authoritative source of information in the field of, in general, pictorial information exchange between computers and their environment, including applications of visual and graphical computer systems. The journal concentrates on theoretical and computational models underlying computer generated, analysed, or otherwise processed imagery, in particular: - image processing - scene analysis, modeling, and understanding - machine vision - pattern matching and pattern recognition - image synthesis, including three-dimensional imaging and solid modeling
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