Exploration of the Construction and Development Path of Cultural Heritage Digital Life Forms Based on High-Precision Digital Technology
DOI: https://doi.org/10.62381/E254A02
Author(s)
Xianzhong Lin, Jingyu Gao*
Affiliation(s)
School of Marxism, Shenzhen Polytechnic University, Shenzhen, Guangdong, China
*Corresponding Author
Abstract
Cultural heritage, as an irreplaceable treasure of human civilization, faces multiple challenges such as natural deterioration, information loss, and intergenerational gaps in its preservation and transmission. Digital transformation offers a critical pathway to address these challenges; however, traditional digital archiving and 3D visualization are no longer sufficient to meet the deeper needs of "vitalizing" heritage transmission. This paper focuses on the concept of the "Cultural Heritage Digital Life Form," systematically addressing the core questions of its construction. It outlines and establishes a technical system encompassing geometric, physical, and semantic information acquisition, emphasizing the critical importance of data fusion and knowledge graph construction. At the theoretical level, it proposes a four-layer framework comprising data, model, knowledge, and wisdom, and identifies three core characteristics of digital life forms: high fidelity, dynamic evolution, and intelligent interaction. The construction of cultural heritage digital life forms is not merely a technological integration and breakthrough, but a revolutionary paradigm aimed at achieving the "immortality" and "living" transmission of cultural heritage values.
Keywords
Cultural Heritage Digitization; Digital Life Form; High-Precision 3D Scanning; Artificial Intelligence; Digital Twin; Living Transmission
References
[1] Rodríguez-Gonzálvez, P., Nita, C., & González-Aguilera, D. (2017). A discussion on the relevance of metric and semantic quality in cultural heritage: A case study of the Royal Pantheon in Spain. Digital Applications in Archaeology and Cultural Heritage, 6, 16-25.
[2] Pocobelli, D. P., Boehm, J., Bryan, P., Still, J., & Grau-Bové, J. (2018). BIM for heritage science: A review. Heritage Science, 6(1), 30.
[3] Bruno, F., Bruno, S., De Sensi, G., Luchi, M. L., Mancuso, S., & Muzzupappa, M. (2020). From 3D models to digital twins: A step forward in condition assessment of cultural heritage. Journal of Cultural Heritage, 41, 14-26.
[4] Kaplan, F., & Di Lenardo, I. (2020). The Venice Time Machine. In Proceedings of the 2020 ACM/IEEE Joint Conference on Digital Libraries (JCDL) (pp. 1-2).
[5] López, F. J., Lerones, P. M., Llamas, J., Gómez-García-Bermejo, J., & Zalama, E. (2018). A review of heritage building information modeling (H-BIM). Multimodal Technologies and Interaction, 2(2), 21.
[6] Mai, Q., He, K., Luo, T., & Zhang, Y. (2022). A review of artificial intelligence in built heritage: From data acquisition to preservation. Journal of Building Engineering, 56, 104769.
[7] Sun Shengli, Qi Tianjiao. Empowering the Development of the Digital Cultural Industry: Research on the Transformation of Dunhuang Archives into Data Elements. Archives Management,2025,(05):37-42.DOI:10.15950/j.cnki.1005-9458.20250930.001.
[8] Li Qingsheng, Ni Ting, Luo Xin, et al. Research Progress on Digitalization of Cultural Heritage and Visualization Service Technology for Digital Cultural Tourism. Journal of Image and Graphics,2025,30(06):2304-2324.
[9] Al-Kheder, S., Al-Shawabkeh, Y., & Haala, N. (2020). UAV-based and terrestrial-based photogrammetric techniques for heritage documentation. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 43, 235-241.
[10] Liang, H. (2012). Advances in multispectral and hyperspectral imaging for archaeology and art conservation. Applied Physics A, 106(2), 309-323.
[11]Zhang Huanzhou, Gao Jing, Huang Keji, et al. Research on the Protection and Inheritance Mechanism of Cultural Heritage: A Theoretical Perspective Based on Space-Behavior Interaction. Geographical Research,2025,44(10):2769-2786.
[12]Dore, C., & Murphy, M. (2015). Historic Building Information Modelling (HBIM). In Handbook of Research on Emerging Digital Tools for Architectural Surveying, Modeling, and Representation (pp. 233-273). IGI Global.
[13]Huang, X., Mei, G., Zhang, J., & Abbas, R. (2021). A comprehensive survey on point cloud registration. arXiv preprint arXiv:2103.02690.
[14]Malandrino, A., Piras, M., Matrone, F., & D'Amelio, S. (2023). Deep learning-based semantic segmentation for HBIM: A systematic review. Applied Geomatics, 1-21.
[15]Barontini, A., Trizio, I., & Sdegno, A. (2021). From H-BIM to structural analysis: A model for the preservation of cultural heritage. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 46, 151-158.
[16]Liu Chunla, Huangfu Zizhen, Li Guanghui. Construction of Digital Tourism Scenarios in Traditional Villages—A Case Study of Zhangguying Village. Resources Science,2025,47(09):1976-1991.
[17]Chen Tao, Zhang Xin, Feng Zhuotong, et al. Research on the Construction of a Unified Knowledge Representation Model for Multimodal Resources of Cultural Heritage. Journal of Library Science in China,1-22[2025-11-07].https://link.cnki.net/urlid/11.2746.G2.20250718.0948.002.
[18]Agugiaro, G., Stoter, J., & Noardo, F. (2021). A conceptual framework for 4D-plus modelling of the built environment. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 8, 1-8.
[19]Croce, P., Landi, F., Puccini, B., & Zotti, V. (2021). A review on the use of the finite element method for the structural analysis of historical masonry constructions. Engineering Structures, 238, 112217.
[20]Stylianou-Lambert, T., Boukas, N., & Christodoulou-Yerali, M. (2020). Museums and immersive technologies: A review of the literature and the challenges of the COVID-19 pandemic. Journal of Cultural Heritage Management and Sustainable Development, 11(3), 397-410.
[21]Kargas, A., Drogalas, G., & Manolitzas, P. (2023). The Metaverse and NFTs as a new business model for the cultural and creative industry. Journal of Theoretical and Applied Electronic Commerce Research, 18(1), 528-543.
[22]Rehmat, M., Liu, S., Liu, C., & Zhang, X. (2024). Reverse engineering and digital restoration of ancient Chinese ceramics based on cross-sectional data. Heritage Science, 12(1), 22.