Research on University Spatial Service System Design Based on UE5 and Digital Twin Technology
DOI: https://doi.org/10.62517/jbdc.202601313
Author(s)
Jiacheng Guo#, Yongjia Qian#, Jun Zhou*, Xuanyan Guo, Yinbo Wo, Can Song, Kangning Xia*
Affiliation(s)
Jiangsu Normal University KeWen College, Xuzhou, Jiangsu, China
*Corresponding Author
#These two authors contributed equally to this work
Abstract
With rapid iteration of digital twin and real-time 3D rendering technologies, smart campus construction is evolving from basic 2D information display to immersive service-oriented digital scenes. Traditional campus platforms based on 2D maps, static web pages and manual consultation suffer from poor spatial visualization, fragmented data and insufficient interactivity, making it difficult for teachers, students and visitors to locate facilities and complete campus services efficiently. To address these limitations, this paper proposes a university spatial service system built on Unreal Engine 5 (UE5) and digital twin. A five-layer decoupled architecture is adopted to realize bidirectional data synchronization between physical campus entities and administrative services, alongside four core modules: immersive roaming, indoor-outdoor integrated navigation, virtual-real information retrieval and one-stop service guidance. The system integrates the UE5 Navigation Mesh and MySQL database, connecting the 3D scene models with the campus business data to form a closed-loop service workflow of "inquiry-guidance-navigation". The prototype is used for comparative quantitative experiments, which can reduce the information query latency by 43.75% and the path calculation cost by 48.89% compared with the conventional 2D platform, while keeping a steady frame rate of 58-62 FPS on a common PC. This research proposes a comprehensive engineering framework for digital twin smart campus construction and extensible technical support for subsequent campus service optimization.
Keywords
Digital Twin; Unreal Engine 5; Smart Campus; 3D Spatial Service; Navigation Mesh; Virtual-Real Data Linkage
References
[1]Tao F, Zhang H, Liu A, Nee A Y C. Digital Twin in Industry: State-of-the-Art. IEEE Transactions on Industrial Informatics, 2019, 15(4): 2405-2415.
[2]Fuller A, Fan Z, Day C, Barlow C. Digital Twin: Enabling Technologies, Challenges and Open Research. IEEE Access, 2020, 8: 108952-108971.
[3]Qi Q, Tao F. Digital Twin and Big Data Towards Smart Manufacturing and Industry 4.0. IEEE Access, 2018, 6: 3585-3593.
[4]Wang S, Li X, Chen L. Real-Time 3D Visualization of Campus Digital Twin Based on Cesium and Dynamic LOD Scheduling. IEEE Access, 2024, 12: 41678-41689.
[5]Chen J, Liu Y. Time-Varying Constrained Improved A* Algorithm for Multi-Floor Indoor Path Planning. ISPRS International Journal of Geo-Information, 2023, 12(5): 198.
[6]Ge Y, Xiao X, Guo B. Hierarchical LOD Mesh Simplification for Lightweight Building Model Real-Time Rendering. Computers & Graphics, 2024, 118: 103762.
[7]Schmitt T, Weber M. Quantitative Performance Evaluation of Lumen Global Illumination for Architectural Indoor Virtual Scenes. The Visual Computer, 2023, 39(9): 4817-4832.
[8]Koutsoudis A, Pavlidis G. Photogrammetric Reconstruction and Blender-Based Optimization Workflow for Cultural Heritage Digital Twins. Journal of Cultural Heritage, 2024, 65: 97-108.
[9]Hart P E, Nilsson N J, Raphael B. A Formal Basis for the Heuristic Determination of Minimum Cost Paths. IEEE Transactions on Systems Science and Cybernetics, 1968, 4(2): 100-107.
[10]Zhang L, Yang D. Spatial Index Optimization of MySQL for Fast Retrieval of Large-Scale 3D Scene Geometric Data. Data & Knowledge Engineering, 2023, 145: 102172.