AI Enabled Digital Twin and IoT Integrated Architecture for Smart Industry Automation and Predictive Maintenance
DOI:
https://doi.org/10.15662/IJEETR.2025.0705012Keywords:
Digital Twin, Artificial Intelligence, Internet of Things, Smart Industry Automation, Predictive Maintenance, Industrial IoT, AI-driven Simulation, Asset Monitoring, Industrial Analytics, Smart ManufacturingAbstract
The emergence of Industry 4.0 has driven the integration of advanced technologies such as Artificial Intelligence (AI), Internet of Things (IoT), and Digital Twin (DT) systems to enhance industrial automation, operational efficiency, and predictive maintenance. Manufacturing and industrial enterprises face increasing challenges in managing complex machinery, monitoring system health, and optimizing production processes while minimizing downtime. AI-enabled Digital Twin and IoT-integrated architectures offer a promising solution by providing real-time monitoring, simulation, and predictive analytics capabilities.
This research proposes a comprehensive AI-enabled Digital Twin and IoT-integrated framework for smart industry automation and predictive maintenance. The framework combines sensor-based IoT data collection, real-time modeling through digital twins, and AI-driven predictive analytics to anticipate equipment failures, optimize machine performance, and support decision-making in industrial environments. The proposed system enables continuous monitoring of industrial assets, dynamic simulation of operational scenarios, and automated maintenance scheduling based on predictive insights.
The research methodology employs system architecture modeling, case-study simulations, and comparative analysis with conventional maintenance systems to validate the framework’s effectiveness. Findings indicate that the proposed AI-enabled digital twin architecture can significantly reduce equipment downtime, enhance process efficiency, optimize resource utilization, and support proactive maintenance strategies, contributing to improved industrial productivity and resilience in smart manufacturing ecosystems.
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