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INTERNATIONAL JOURNAL OF RECENT TRENDS IN TECHNOLOGY AND ENGINEERING (IJRTTE)

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A Digital Twin–Driven Simulation Framework for IoT-Enabled Mechanical System Intelligence

D Suresh
SAP Freelancer, India.

Keywords: Digital Twin, Internet of Things, Co-Simulation, Cyber–Physical Systems, Intelligent Decision-Making, Machine Learning, Real-Time Simulation, IoT Data Integration, Predictive Analytics, Adaptive Control

Abstract

One of the enablers in the field of intelligent monitoring, simulation, and control of complex Internet of Things (IoT) enabled cyber-physical systems has been the Digital Twin (DT) technology. Nevertheless, the solutions of DT that are currently available tend to operate on data acquisition, simulation, or intelligence alone, limiting their application in dynamic and large scale. The paper suggests a Digital Twin Driven Simulation Framework of IoT-Enabled Intelligent Systems, which is a close integration of real-time IoT data flow, coordinated simulation and co-simulation, and intelligence-driven decision unit in a single cyberphysical architecture. The proposed architecture is a layered digital twin architecture that will be used to maintain sustained synchronization between physical and virtual assets. Multi-domain simulation and co-simulation platform allows modelling complex interactions of the system and machine learning and optimization-based intelligence subsystem assist in predictive analysis, adaptive control, and closed-loop decision-making. Extensive analysis of the system by means of simulation and validation in various working conditions proves that the proposed solution is more accurate in predictions and more efficient in its operation and resistance to errors and failures than the traditional simulation-only and rule-only approaches. The findings emphasize the prospects of the suggested structure as a scalable and extensible platform of the next-generation intelligent IoT systems at the industrial, energy, and smart infrastructure levels
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Published
2025-12-20
Pages
1-13
Issue
Vol. 4 No. 4 (2025): IJRTTE - 04 - 04
Section
Articles

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