Research on Intelligent Ventilation System for Tunneling Based on Digital Twin

  • Wu Yuanjin ,
  • Sun Yi ,
  • Shang Jiaxu ,
  • Wang Shugang
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  • 1. China Railway Tunnel Bureau Group (Shanghai) Special High-Technology Co.,Ltd, Shanghai 301206, P.R. China;
    2. Dalian University of Technology, Faculty of Infrastructure Engineering, Liaoning, Dalian 116024, P.R. China

Received date: 2024-05-28

  Online published: 2025-05-06

Abstract

The development achievements of sensor technology, Internet of Things, big data, and artificial intelligence have been widely applied in the field of tunnel construction engineering, promoting the development of digital twins for smart tunnel ventilation systems. This study aims to explore the application of digital twins in intelligent ventilation systems for tunneling to achieve accurate regulation of ventilation parameters and enhance safety and efficiency in construction environments. This paper took the fundamental related to establishing the digital twin of construction tunnel ventilation systems and the current situation analysis of intelligent ventilation as the point of penetration. The digital twin framework of an intelligent ventilation system for tunneling with computation-measurement complementary was proposed, which consisted of five modules: physical space, virtual space, data fusion, mechanism model and application services. To effectively implement the digital twin, the research designed the architecture of the intelligent ventilation digital twin management platform and introduced a real-time data-driven multidimensional fusion model to achieve accurate mapping of states and behaviors between the virtual and physical spaces. Based on the proposed theories and methodologies, the study conducted practical application and validation in a real tunnel construction ventilation system. By integrating the developed intelligent ventilation twin model into the construction management platform, successful applications were achieved. Consequently, this study provided a new method for ventilation management in construction tunnels by integrating digital twins into daily ventilation management.

Cite this article

Wu Yuanjin , Sun Yi , Shang Jiaxu , Wang Shugang . Research on Intelligent Ventilation System for Tunneling Based on Digital Twin[J]. Chinese Journal of Underground Space and Engineering, 2025 , 21(2) : 720 -729 . DOI: 10.20174/j.JUSE.2025.02.39

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