Research on Smart Inspection System based on Digital Twin: A Revolutionary Approach for Modern Industrial Inspection

Authors

  • Wei He
  • Jianing Hu
  • Xin Zhang
  • Dai Li

DOI:

https://doi.org/10.6919/ICJE.202412_10(12).0012

Keywords:

Digital Twin; Smart Inspection System; Predictive Maintenance.

Abstract

This paper explores the integration of Digital Twin technology into smart inspection systems, a transformative approach for enhancing industrial operations. Digital Twin (DT) creates real-time virtual replicas of physical assets, enabling continuous monitoring and data-driven insights. By leveraging IoT sensors, AI algorithms, and real-time analytics, a Smart Inspection System based on DT improves the accuracy, efficiency, and reliability of industrial inspections. Key benefits include reduced downtime, predictive maintenance, operational optimization, and enhanced decision-making capabilities. However, challenges such as high initial costs, data security concerns, and integration with legacy systems must be addressed. The potential applications across industries-manufacturing, energy, transportation, and oil & gas-illustrate the broad scope of DT’s impact. As the technology advances, Smart Inspection Systems will drive further innovations, leading to safer, more sustainable, and cost-effective industrial practices. This paper discusses the principles, benefits, challenges, and future implications of implementing Digital Twin technology in inspection systems.

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References

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Published

2024-11-19

Issue

Section

Articles

How to Cite

He, Wei, Jianing Hu, Xin Zhang, and Dai Li. 2024. “Research on Smart Inspection System Based on Digital Twin: A Revolutionary Approach for Modern Industrial Inspection”. International Core Journal of Engineering 10 (12): 92-96. https://doi.org/10.6919/ICJE.202412_10(12).0012.