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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM38489

Cyber Physical Echoes - Harnessing Digital Twin Intelligence for Real Time System Optimization

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM38489

Volume:

8 |

11 |

Nov 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM38489

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

JY

J YESHWANTH

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Abstract

Digital Twin Technology (DTT) redefines the landscape of cyber-physical systems (CPS) by providing real-time, virtual replicas of physical processes and their counterparts in complex real-world networks for viewing, analyze and optimize digital twin complex systems through real-time data integration for predictive insights, making them more valuable in industries such as construction, healthcare, smart cities, energy management, etc. DTT provides they could streamline manufacturing techniques, enhance operational efficiency, and assist data-pushed selection-making, in order that normal CPS -Increases flexibility and responsiveness For instance, the ability of digital twins in construction mapping the development industry, helping to prioritize problems and streamline operations, at the same time as looking forward to demand and supporting the planning of smart towns Despite these advantages, the use of DTT role in CPS affords demanding situations are , inclusive of statistics privateness worries, connectivity problems, and the want for scalable solutions that can control massive, disparate databases.

KEYWORDS

Digital-Twin Technology Cyber Systems Real-Time Data Integration.

Cite This Article

J YESHWANTH, "Cyber Physical Echoes - Harnessing Digital Twin Intelligence for Real Time System Optimization," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 11, Nov 2024. https://doi.org/10.55041/IJSREM38489

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8/10/2024

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