Validation of Complex Control Systems with Heterogeneous Digital Models in Industry 4.0 Framework

Author:

Semenkov Kirill,Promyslov Vitaly,Poletykin Alexey,Mengazetdinov Nadir

Abstract

The precise evaluation of the system design and characteristics is a challenge for experts and engineers. This paper considers the problem of the development and application of a digital twin to assess cyberphysical systems. We analyze the details of digital twin applications at different lifecycle stages. The work reviews and summarizes properties of models concerning the digital and physical components of a cyberphysical system (CPS). The other issue of a CPS is increasing cybersecurity threat for objects, so special attention is paid to the heterogeneous digital twin usage scenarios to improve CPS cybersecurity. The article also details the heterogeneous digital twin’s implementation for a real upper-level control system of a nuclear power plant. The presented heterogeneous digital twin combines virtual machines with real equipment, namely hardware-in-the-loop (HiL) components. The achievements and drawbacks of the implemented model, including single timescale maintaining challenges, are discussed.

Funder

Russian Foundation for Basic Research

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Control and Optimization,Mechanical Engineering,Computer Science (miscellaneous),Control and Systems Engineering

Reference37 articles.

1. Industrie 4.0: Mit dem Internet der Dinge auf dem Weg zur 4. industriellen Revolution;Kagermann;VDI Nachr.,2011

2. Design Principles for Industrie 4.0 Scenarios

3. Recommendations for Implementing the Strategic Initiative Industrie 4.0: Securing the Future of German Manufacturing Industry;Kagermann,2013

4. A Maturity Model for Assessing Industry 4.0 Readiness and Maturity of Manufacturing Enterprises

5. Intelligent Manufacturing in the Context of Industry 4.0: A Review

Cited by 15 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. Industry 4.0 more than a challenge in modeling, identification, and control for cyber-physical systems;Modeling, Identification, and Control for Cyber- Physical Systems Towards Industry 4.0;2024

2. A review on digital twins for power generation and distribution;International Journal of Information Security;2023-12-01

3. Design for Six Sigma Digital Model for Manufacturing Process Design;Tehnički glasnik;2023-05-13

4. An Energy Efficient Artificial Intelligence Based Innovation Detection for Complex Data Communication Model;2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE);2023-04-29

5. Nature-Like Structural Node Components for Software and Hardware Complexes on the Basis of Single-Board Computers;2023 International Russian Smart Industry Conference (SmartIndustryCon);2023-03-27

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