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LIANG Cai, LI Wen-yong, WANG Chang-hai, SHEN Wei, ZHOU Xiao-qin, LUO Ren-tong. Research progress, key technologies, and prospects of digital twin technology for inland waterway[J]. Journal of Traffic and Transportation Engineering, 2026, 26(4): 200-229. doi: 10.19818/j.cnki.1671-1637.2026.083
Citation: LIANG Cai, LI Wen-yong, WANG Chang-hai, SHEN Wei, ZHOU Xiao-qin, LUO Ren-tong. Research progress, key technologies, and prospects of digital twin technology for inland waterway[J]. Journal of Traffic and Transportation Engineering, 2026, 26(4): 200-229. doi: 10.19818/j.cnki.1671-1637.2026.083
shu

Research progress, key technologies, and prospects of digital twin technology for inland waterway

doi: 10.19818/j.cnki.1671-1637.2026.083
  • 1.

    School of Traffic and Transportation, Shijiazhuang Tiedao University, Shijiazhuang 050043, Hebei, China

  • 2.

    Guangxi Communications Design Group Co., Ltd., Nanning 530029, Guangxi, China

  • 3.

    Guangxi Infrastructure 3D Digital Twin Engineering Research Center, Nanning 530023, Guangxi, China

  • 4.

    School of Architecture and Transportation Engineering, Guilin University of Electronic Technology, Guilin 541004, Guangxi, China

  • 5.

    School of Electronic Information and Communication, Huazhong University of Science and Technology, Wuhan 430074, Hubei, China

  • 6.

    College of Intelligent Construction and Low Altitude Technology, Guangxi Transport Vocational and Technical College, Nanning 530000, Guangxi, China

Funds:

Guangxi Science and Technology Major Project AA23062053

Guangxi Science and Technology Base and Talent Special Project AD25069109

More Information
  • Corresponding author: WANG Chang-hai, professor of engineering, E-mail: 15078888596@163.com
  • Received Date: 2025-05-28
  • Accepted Date: 2025-11-27
  • Rev Recd Date: 2025-10-02
  • Publish Date: 2026-04-28
    Abstract
  • To clarify the conceptual connotation, key technologies, and development trends of digital twins for waterways and to promote the transformation and upgrading of inland waterways towards refined and intelligent management throughout the full lifecycle, a research method combining bibliometrics and text mining was adopted. Relevant Chinese and English literatures from 2000 to 2025 were systematically reviewed. The research status and key characteristics of digital twins in the waterway field were summarized and analyzed, and the definition and related concepts of waterway digital twins were discriminated and compared. In view of the characteristics of inland waterway projects, a full lifecycle management paradigm for inland waterways driven by digital twin technology as the core was established, and the data of the whole process from waterway design and construction to operation, maintenance, management, and service were connected. Furthermore, a cross-stage data mapping mechanism based on engineering breakdown structure (EBS) and a digital twin system architecture for inland waterways oriented to the full lifecycle were proposed, covering core elements such as data foundation, basic support platform, algorithm model platform, and application service platform. The application case of the Pinglu Canal project was introduced. The application status, challenges, and future development prospects of waterway digital twins were discussed. Research results show that current waterway digital twins face many challenges, such as the unformed comprehensive and precise perception system, difficult multi-source data fusion and governance, insufficient model simulation and interaction capabilities, and insufficient application effectiveness and intelligence level. In the future, it will develop towards the directions of space-air-ground-water integrated intelligent perception, full lifecycle management and control, real-time computing and simulation deduction, AI autonomous decision-making and intelligent control, and multi-industry integration. Through the construction of digital twin systems and technology applications, the whole-process construction management and control of waterways and the transformation of all-round intelligent operation and maintenance business are driven, supporting the smarter and more efficient transformation and upgrading of waterway management.

     

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