THE USE OF DIGITAL TWINS MODELS WHILE A RADIOGRAPHIC IMAGE FORMATION IN A VIRTUAL REALITY ENVIRONMENT

Author:

Kovshov E. E.,Kuvshinnikov V. S.,Kazakov D. F.

Abstract

In modern conditions, the use of digital industrial technologies for maximum automation of various production processes and the creation of unmanned technologies is the main direction of technological development of production in the key of the Industry 4.0 and NDE 4.0 paradigms with the widespread use of information and communication technologies, including virtual reality and digital twins. To implement digital non-destructive testing, service-oriented approach is proposed as an effective solution for obtaining, processing and storing data of the results of various types of testing, the basic architecture of this solution is given. The simulator’s model of the industrial radiography laboratory is considered, discrete models of objects’ digital twins are constructed while obtaining an image, for which the basic provisions and tools of set theory are used. Examples are given illustrating the correspondence of mathematical models of digital twins to their graphical counterparts, as well as the image formed on the detector as a result of modeling and performing a radiation type of non-destructive testing. It is noted that the virtualization of such a complex technical facility as an industrial radiography laboratory allows for a short period of time and at minimal cost to verify the feasibility of technical solutions and engineering hypotheses taking into account real production conditions and needs, while providing, on the one hand, variability in the implementation of technological operations, and on the other – the number increase of trained qualified specialists according to the radiation type of non-destructive testing.

Publisher

Izdatel'skii dom Spektr, LLC

Subject

General Medicine,General Chemistry

Reference14 articles.

1. Kovshov E. E., Kosach A. A., Popov V. S. (2019). Industrial Informatics: Towards the Researches and Modelling of Structural Materials’ Properties. IOP Conference Series: Materials Science and Engineering, 476. DOI 10.1088/1757-899X/476/1/012016.

2. Syas'ko V. A. (2022). NDE 4.0. Summary of the decade. Territoriya NDT, 44(4), 30 – 42. [in Russian language]

3. Kovshov E. E., Kuvshinnikov V. S., Kazakov D. F. (2021). Virtual reality usage in the radiography simulator development for non-destructive testing personnel training. Kontrol'. Diagnostika, 24(7), 34 – 40. [in Russian language] DOI: 10.14489/td.2021.07.pp.034-040

4. Meshkov A. A., Mashnyuk A. N., Kargopolova A. P. et al. The use of digital twins in an automated system for virtual training of a user in working in a mine, an automated system for virtual training a user in working in a mine, and a method for virtual training a user in working in a mine. Ru Patent No. 2767723. Russian Federation. [in Russian language]

5. Vasiliev Y. (2007). SOA and WS-BPEL. Packt Publishing.

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Specialists Training for the Radiation Type of Non-Destructive Testing Based on Digital Technologies;Proceedings of the Southwest State University. Series: IT Management, Computer Science, Computer Engineering. Medical Equipment Engineering;2024-01-24

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3