New Insights on the Intelligent Preservation of Architectural Heritage

A special issue of Buildings (ISSN 2075-5309). This special issue belongs to the section "Building Materials, and Repair & Renovation".

Deadline for manuscript submissions: 31 August 2025 | Viewed by 614

Special Issue Editors


E-Mail Website
Guest Editor
School of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, Beijing 102616, China
Interests: architectural heritage; preventive protection; digital twins; artificial intelligence; quantum computing; augmented reality interactions; structural analysis; intelligent monitoring; restoration and defect repair

E-Mail Website
Guest Editor
School of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, Beijing 102616, China
Interests: 3D modeling of historical buildings; point cloud data processing; 3D structural deformation monitoring system; LiDAR scanning; multi-source 3D reconstruction and integration; structural health monitoring platform for buildings

Special Issue Information

Dear Colleagues,

Cultural heritage, as a living testament to history, embodies the civilization of a nation, connecting us to past memories while deeply rooted in our identity and collective consciousness.

Cultural heritage holds irreplaceable value, and the work of preservation and restoration is receiving increasing attention. To address the complex demands of heritage conservation, interdisciplinary collaboration is essential, drawing on expertise and skills across different fields. With the continuous advancement of new artificial intelligence technologies, we now have innovative tools and methods for the structural analysis, monitoring, and conservation of cultural heritage. These interdisciplinary perspectives and innovations are opening up new pathways for the protection of cultural heritage, enabling us to more effectively tackle various challenges in this field.

We invite authors to contribute original research, theoretical and experimental studies, case studies, and comprehensive review papers. Topics for this Special Issue include, but are not limited to:

  • Applications of digital twins in the preventive conservation of architectural heritage;
  • Quantum computing-driven intelligent monitoring and analysis of architectural heritage;
  • Intelligent monitoring and structural analysis methods for industrial heritage;
  • Innovative applications of artificial intelligence and virtual reality in linear heritage conservation;
  • Liquid neural networks for behavioral prediction in architectural heritage.

Prof. Dr. Ming Guo
Dr. Guoli Wang
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Buildings is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • architectural heritage
  • preventive protection
  • digital twins
  • artificial intelligence
  • quantum computing
  • augmented reality interactions
  • intelligent monitoring
  • restoration and defect repair
  • structural analysis
  • liquid neural networks

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.

Further information on MDPI's Special Issue policies can be found here.

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

19 pages, 3117 KiB  
Article
Research on Identification, Evaluation, and Digitization of Historical Buildings Based on Deep Learning Algorithms: A Case Study of Quanzhou World Cultural Heritage Site
by Siqi Wang, Jiahao Zhang, Aung Nyan Tun and Kyi Sein
Buildings 2025, 15(11), 1843; https://doi.org/10.3390/buildings15111843 - 27 May 2025
Cited by 1 | Viewed by 313
Abstract
Historical buildings have important historical and social value, but they are generally difficult to identify, complicated to evaluate, and insufficiently addressed in digitization research. On 25 July 2021, Quanzhou successfully applied for World Heritage status. In this case study, Qiaonan Village in the [...] Read more.
Historical buildings have important historical and social value, but they are generally difficult to identify, complicated to evaluate, and insufficiently addressed in digitization research. On 25 July 2021, Quanzhou successfully applied for World Heritage status. In this case study, Qiaonan Village in the Quanzhou World Heritage Area is selected, and a deep learning algorithm is proposed for the identification, evaluation, and digitization of historical buildings. By comparing multiple models, the optimal model is selected for intelligent identification and classification of building elevations. Combined with GIS, a distribution map of the village buildings is created for digitization research. An intelligent monitoring platform is built to enable dynamic monitoring and hierarchical protection of the buildings, aiding in the protection of historical structures and the sustainable development of the tourism industry. In the future, we will continue to optimize the integration of YOLO and GIS and explore a more universal model for the intelligent protection of historical buildings. Full article
Show Figures

Figure 1

Back to TopTop