Immersive virtual reality as a tool to improve bridge teaching communication

Li, Weilian; Zhu, Jun; Dang, Pei; Wu, Jianlin; Zhang, Jinbin; Fu, Lin; Zhu, Qing

doi:10.1016/j.eswa.2023.119502

Cited by 17 publications

(7 citation statements)

References 37 publications

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“…Visualization methods enhance human understanding of complex information by displaying data features in an intuitive and attractive way [29][30][31][32][33]. In order to improve users' accurate understanding of this key information when conveying diagnostic information about tunnel excavation deformation, this information must be transformed into easyto-understand visual variables [34][35][36][37][38]. The digital twin scenes of tunnel excavation are complex and changeable.…”

Section: Multivariate Visual Variable Integration In the Digital Twin...mentioning

confidence: 99%

A Knowledge-Guided Intelligent Analysis Method of Geographic Digital Twin Models: A Case Study on the Diagnosis of Geometric Deformation in Tunnel Excavation Profiles

Liang,

Zhu,

Zhang

et al. 2024

IJGI

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It is essential to establish a digital twin scene, which helps to depict the dynamically changing geographical environment accurately. Digital twins could improve the refined management level of intelligent tunnel construction; however, research on geographical twin models primarily focuses on modeling and visual description, which has low analysis efficiency. This paper proposes a knowledge-guided intelligent analysis method for the geometric deformation of tunnel excavation profile twins. Firstly, a dynamic data-driven knowledge graph of tunnel excavation twin scenes was constructed to describe tunnel excavation profile twin scenes accurately. Secondly, an intelligent diagnosis algorithm for geometric deformation of tunnel excavation contour twins was designed by knowledge guidance. Thirdly, multiple visual variables were jointly used to support scene fusion visualization of tunnel excavation profile twin scenes. Finally, a case was selected to implement the experimental analysis. The experimental results demonstrate that the method in this article can achieve an accurate description of objects and their relationships in tunnel excavation twin scenes, which supports rapid geometric deformation analysis of the tunnel excavation profile twin. The speed of geometric deformation diagnosis is increased by more than 90% and the cognitive efficiency is improved by 70%. The complexity and difficulty of the deformation analysis operation are reduced, and the diagnostic analysis ability and standardization of the geographic digital twin model are effectively improved.

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Section: Multivariate Visual Variable Integration In the Digital Twin...mentioning

confidence: 99%

A Knowledge-Guided Intelligent Analysis Method of Geographic Digital Twin Models: A Case Study on the Diagnosis of Geometric Deformation in Tunnel Excavation Profiles

Liang,

Zhu,

Zhang

et al. 2024

IJGI

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“…Research in this domain delves into the integration of digital interactive art to create immersive experiences, emphasizing narrative construction, cultural context, and intellectual property (IP) integration (Ren, 2019;Stetz, 2022). In China, immersive experiences have transitioned from early phases characterized by "showmanship" to technologically enriched engagements (Yu et al, 2022;Li et al, 2023).…”

Section: The General Knowledge Of Immersive Arts Experiencementioning

confidence: 99%

Exploring the Educational Potential of Immersive New Media Art in Urban Commercial Spaces in Dalian City, Liaoning Province, China

Sui,

Yodmalee

2024

JEL

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Contemporary Chinese art has witnessed a transformative evolution in the realm of installation art, particularly in the context of immersive new media installations within urban commercial spaces. This study explores the educational potential of immersive new media art in urban commercial spaces in Dalian City, Liaoning Province, China. The research journey spans various stages of Dalian’s installation art development, from its early emergence in the 1980s to the prosperous period in the 1990s and its diversification in the 21st century. Key themes explored include the evolution of artistic expression, the impact on education, and the integration of new media in urban commercial spaces. The research site primarily focuses on Dalian’s cultural and commercial landscapes, with a spotlight on the Xiongdong Street project. The study employs a qualitative research methodology, combining field research, interviews, multimedia elements, and data analysis to offer comprehensive insights into the subject matter. Key informants include artists, scholars, and experts within the field of installation art. The research results reveal the dynamic evolution of Dalian’s installation art, its educational significance, and its integration into urban commercial spaces. The study suggests that immersive new media art has the potential to enrich art education, engage the public, and foster cultural and commercial development.

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“…Bridge engineering has the characteristics of multiple structural elements, high requirements of construction collaboration, and long construction period. In addition, the construction process involves complex and dynamic data related to construction plans, bills of quantities, construction quality management, and safety management (Li et al., 2023). These data mostly come from different departments, which is the main reason for the low level of information sharing between systems, data isolation and management confusion, making it difficult for managers to fully grasp the bridge construction situation (Dayan et al., 2022).…”

Section: Related Researchmentioning

confidence: 99%

Dynamic data‐driven railway bridge construction knowledge graph update method

Lai,

Zhu,

Guo

et al. 2023

Transactions in GIS

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Effectively integrating and correlating multisource data involved in the bridge construction process is crucial for the improvement of the bridge informatization level. In the current issues of dynamic numerous data and low information sharing between different engineering departments, the traditional information management methods are inefficient in providing comprehensive and accurate data support for construction safety. Focusing on the bridge construction stage, this article proposes a dynamic data‐driven construction method of railway bridge construction knowledge graph (KG) in combination with dynamic data (materials, personnel, equipment and sensors) in the construction process and KG technology. By taking a railway bridge as a case, the study develops a prototype system and analyzes the effectiveness of bridge construction KG in material traceability, personnel and equipment management and construction safety guidance, which can provide comprehensive and accurate data support for bridge construction management and construction optimization. The results show that: (1) bridge construction KG that takes into account the dynamic features of bridge projects can effectively integrate multiple elements; (2) the bridge construction KG is dynamically updated through real‐time comparison and advance prediction based on the dynamic data collected by multi‐sensing equipment at the construction site, and can provide effective data support for guiding bridge construction safety; and (3) the construction management prototype system based on railway bridge construction KG can provide accurate data support for material traceability, personnel and equipment management and assisted risk event decision‐making. The results of the comparative experiment between the KG group and the spreadsheet group showed that utilizing the KG saved approximately 50% of time and achieved a 20% higher accuracy rate in the material traceability task compared to the spreadsheet group. In general, this study proposes a dynamic data‐driven construction method of railway bridge construction KG, which can effectively realize the effective integration and management of multisource data in the bridge construction process, provide the necessary scientific basis for fine bridge management, and help to improve bridge informatization management level.

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Immersive virtual reality as a tool to improve bridge teaching communication

Cited by 17 publications

References 37 publications

A Knowledge-Guided Intelligent Analysis Method of Geographic Digital Twin Models: A Case Study on the Diagnosis of Geometric Deformation in Tunnel Excavation Profiles

A Knowledge-Guided Intelligent Analysis Method of Geographic Digital Twin Models: A Case Study on the Diagnosis of Geometric Deformation in Tunnel Excavation Profiles

Exploring the Educational Potential of Immersive New Media Art in Urban Commercial Spaces in Dalian City, Liaoning Province, China

Dynamic data‐driven railway bridge construction knowledge graph update method

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