Implementation features of local and remote technical objects digital twins

Author:

Pliuhin Vladyslav,Sukhonos Maria,Biletskyi Ihor,Plankovskyy Sergiy,Tsegelnyk Yevgen

Abstract

Abstract This paper explores the potential for implementing digital twin technology, focusing on the internal structure of the research object and the remote characteristics of its surrounding environment. Specifically, it examines and demonstrates the practical application of local digital twins, which replicate the object’s structural parameters using data from sensors and measurement devices positioned at key nodes within the research object. Another category of digital twins leverages data collected from instruments measuring external environmental conditions and falls under the classification of remote digital twins. When combined, these local and remote digital twins create a comprehensive framework for predictive decision-making, assessing both the current status of the object and potential outcomes in emergency situations. This study seeks to explore the feasibility of integrating digital twins across various hierarchical levels of the research object. The findings presented in this paper represent the authors’ practical innovations, which demonstrate effective outcomes and offer a foundation for advancing research objectives in this area.

Publisher

IOP Publishing

Reference30 articles.

1. Development of digital twin for Intelligent maintenance of civil infrastructure;Mahmoodian;Sustainability,2022

2. Mathematical analysis of technological parameters for producing superfine prepregs by flattening carbon fibers;Kondratiev;Mech. Compos. Mater.,2021

3. Modelling cycle for simulation digital twins;Reed;Manuf. Lett.,2021

4. Interactive design of CNC equipment operator panels;Aksonov;Int. J. Mechatron. Appl. Mech.,2022

5. Deflections and frequency analysis in the milling of thin-walled parts with variable low stiffness;Kononenko;Acta Polytech.,2019

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