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Basic issues and research directions of the digital restoration of the Great Wall

  • role： First author第一作者
  • Affiliation：

    School of Architecture and Urban Planning, Beijing University of Civil Engineering and Architecture, Beijing 100044, China

    Key Laboratory for Architectural Heritage Fine Reconstruction & Health Monitoring, Beijing 100044, China

  • Email：1049183645@qq.com
  • Introduction：李宗飞，1990年生，男，博士研究生，研究方向为文化遗产数字化保护研究。E-mail： 1049183645@qq.com
LI Zongfei14,  
  • role： Corresponding author通信作者
  • Affiliation：

    School of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, Beijing 100044, China

    Key Laboratory for Architectural Heritage Fine Reconstruction & Health Monitoring, Beijing 100044, China

  • Email：dongyouqiang.@bucea.edu.cn
  • Introduction：董友强，1988年生，男，讲师，研究方向为遗产保护、摄影测量与遥感。E-mail： dongyouqiang.@bucea.edu.cn
DONG Youqiang24*,  
  • Affiliation：

    School of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, Beijing 100044, China

    Key Laboratory for Architectural Heritage Fine Reconstruction & Health Monitoring, Beijing 100044, China

HOU Miaole24,  
  • Affiliation：

    School of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, Beijing 100044, China

    Institute of Science and Technology Development, Beijing University of Civil Engineering and Architecture, Beijing 100044, China

    Key Laboratory for Architectural Heritage Fine Reconstruction & Health Monitoring, Beijing 100044, China

WANG Jian234,  
  • Affiliation：

    Beijing Digsur Science and Technology Co., Ltd, Beijing 100012, China

XIN Taiqi5

resumen

Digitization is one of the most important means of spreading heritage values. Nowadays, as one of the symbols of ancient civilization, the Great Wall of China has a great and irreplaceable historical research value, especially in military architecture, technology, and art. In the long-term development of the digital protection of cultural heritage, people have been paying more attention to the digital restoration of movable cultural relics, such as artifacts, calligraphy, painting, manuscripts, and immovable cultural relics, including large Buddhist shrines and murals. However, studies on the digital restoration of the Great Wall ruins remain scant.On the basis of the value demand of the Great Wall protection and the research foundation of digital restoration, this study argues that authentic evidence is the key factor affecting scientific restoration and puts forward the criterion that the digital restoration of the Great Wall should be consistent with the “original appearance” and “authenticity” of the Great Wall. This paper summarizes the basic concepts of the digital restoration of the Great Wall and puts forward the general ideas of the Great Wall digital restoration in terms of domain knowledge, evidence transformation, evidence fusion, semantic modeling to knowledge service. This paper also discusses the three basic problems of the digital restoration of the Great Wall, namely, the cognition of the Great Wall, data collection, evidence conversion, and the concept and implementation of restoration. Aiming at these basic problems, three research directions are proposed, that is, knowledge construction in the field of Great Wall digital restoration, key technologies of digital restoration, and knowledge service. The construction of the knowledge of the Great Wall deepens the cognitive category of the Great Wall. The key technologies are the implementation of spatial geographic information 3S technology, deep learning, and semantic modeling. The knowledge service of the digital restoration of the Great Wall can provide services for the sustainable preventive protection of the Great Wall, experts, and the public. Finally, taking Nine Eyes Watchtower an example, the restoration results under the framework of digital restoration are introduced.The results of the digital restoration of the Great Wall are not absolute. Its greatest advantage is that it can accept the public's judgment and the emergence of new evidence at any time, rendering the digital restoration of the Great Wall as a dynamic and open research process. The significance lies in the integration of multi-disciplinary advantages, showing the restoration process of the Great Wall to different groups, such as departments, experts and scholars, and the public; Furthermore, from the perspective of the protection of the Great Wall, digital restoration is a supplement to the strategy of “original site protection and original state protection,” respecting physical protection and giving full play to the advantages of digital means. The digital restoration framework can not only provide a scientific, humanistic, and feasible scheme for the digital restoration of the Great Wall, but also provide a new reference for the restoration of other ancient sites.

palabra clave

The Great Wall;remote sensing;multi-source data;evidence;semantic;digital restoration framework;the Nine Eyes Watchtower

References

  1. 1.
    Arbace L, Sonnino E, Callieri M, Dellepiane M, Fabbri M, Idelson A I and Scopigno R. 2013. Innovative uses of 3D digital technologies to assist the restoration of a fragmented terracotta statue. Journal of Cultural Heritage, 14(4): 332-345
  2. 2.
    Cao Y C and Zhang Y K. 2015. Research on Precise Temporal Evolution of Military Defense System Along the Great Wall in Ming Dynasty.Architecture & Culture, 25(9): 138-140
  3. 3.
    Carbonara G. 2012. An Italian contribution to architectural restoration. Frontiers of Architectural Research, 1(1): 2-9
  4. 4.
    Chang Q. 2009. Authenticity in historic preservation and restoration. Time Architecture, (3): 118-121
  5. 5.
    Chen S L, Hu Q W, Wang S H and Yang H J. 2016. A virtual restoration approach for ancient plank road using mechanical analysis with precision 3D data of heritage site. Remote Sensing, 8(10): 828
  6. 6.
    Chen S L, Yang H Z, Wang S S and Hu Q W. 2018. Surveying and digital restoration of towering architectural heritage in harsh environments: a case study of the millennium ancient watchtower in Tibet. Sustainability, 10(9): 3138
  7. 7.
    Di Angelo L, Di Stefano P, Guardiani E, Morabito A E and Pane C. 2019. 3D virtual reconstruction of the ancient Roman Incile of the Fucino Lake. Sensors, 19(16): 3505
  8. 8.
    Du Q and Cao Y K. 2019. The theory and practice of restoration of Italian architects in the Post-Brandi Era. Architectural Journal, (7): 88-93
  9. 9.
    Fukuda T, Ban H, Yagi K and Nishiie J. 2015. Development of high-definition Virtual Reality for historical architectural and urban digital reconstruction: a case study of Azuchi Castle and Old Castle Town in 1581//International Conference on Computer-Aided Architectural Design Futures. São Paulo, Brazil: Springer: 75-89
  10. 10.
    Gentry K and Smith L. 2019. Critical heritage studies and the legacies of the late-twentieth century heritage canon. International Journal of Heritage Studies, 25(11): 1148-1168
  11. 11.
    Gomes L, Bellon O R P and Silva L. 2014. 3D reconstruction methods for digital preservation of cultural heritage: a survey. Pattern Recognition Letters, 50: 3-14
  12. 12.
    Hou Y Y. 2016. Application of traditional Chinese aesthetics in ancient books repair. Research on Heritages and Preservation, 1(4): 49-53
  13. 13.
    Hua X Z. 1988. The Great Wall Documentary of the Ming Dynasty. Beijing: Archives Press
  14. 14.
    Jia J and He Y. 2016. Study on the idea of Yuanmingyuan garden construction based on digital technology. Journal of Chinese Architecture History, (2): 341-364
  15. 15.
    Jiang L F. 1987. Dung Huang Xue Gui Hua Si Yi. Shanghai: Shanghai Classics Publishing House: 1013-1014
  16. 16.
    Kan X, Zhang Y H, Cao T, Wang J G and Tian W. 2016. Snow cover recognition for Qinghai-Tibetan Plateau using deep learning and multispectral remote sensing. Acta Geodaetica et Cartographica Sinica, 45(10): 1210-1221
  17. 17.
    Lanitis A, Stylianou G and Voutounos C. 2012. Virtual restoration of faces appearing in byzantine icons. Journal of Cultural Heritage, 13(4): 404-412
  18. 18.
    Li C L, Zhou M Q, Cheng X and Cheng R B. 2006. Virtual restoration of axisymmetric relic fragments. Journal of Computer-Aided Design and Computer Graphics, 18(5): 620-624
  19. 19.
    Li J and Zhai B Q. 2016. Reflections on the authenticity issues in the construction of heritage ruin parks in China. Chinese Landscape Architecture, 32(5): 117-121
  20. 20.
    Li M, Fu J, Chen A S, Li L, Wang G M and Zeng L. 2021. Study on the transformation of knowledge service-oriented geological data management. Geology and Resources, 30(1): 92-98
  21. 21.
    Li Y W and Zhao H R. 2018. Comprehensive display design of the Great Wall’s Cultural landscape based on virtual environment. Bulletin of Surveying and Mapping, 67(8): 131-135, 149
  22. 22.
    Liu J and Wu Z K. 2016. Rule-based generation of ancient Chinese architecture from the Song Dynasty. Journal on Computing and Cultural Heritage, 9(2): Article No.: 7
  23. 23.
    Liu S J. 2020. On the new age value implication of the Great Wall spirit and its practical approaches. Journal of Hebei GEO University, 43(2): 127-131
  24. 24.
    Liu W Y. 2018. Study on the monitoring system of the Great Wall from the perspective of heritage characteristics analysis. China Cultural Heritage, (3): 85-91
  25. 25.
    Liu X L, Wang B, Huang Q and Ren Y. 2020. Condition assessment model for cable-stayed bridges based on evidence reasoning framework. Journal of South China University of Technology (Natural Science Edition), 48(6): 69-76
  26. 26.
    Lopez-Menchero V M and Grande A. 2011. The principles of the Seville Charter//CIPA Symposium Proceedings. Prague, Czech Republic: [s.n.]: 2-6
  27. 27.
    Lu H R, Zhang Y, Niu M M, Shui W Y and Zhou M Q. 2015. Three-dimensional virtual reassembling for broken artifact fragments based on Leap motion. Journal of System Simulation, 27(12): 3006-3011, 3017
  28. 28.
    Lu S L. 2012. China’s exploration for the concepts of cultural relics conservation. Southeast Culture, (2): 6-9
  29. 29.
    Luo Z W and Dong Y H. 1990. Some basic theoretical questions about the Great Wall Study. Wen Wu Chun Qiu, (1): 1-8
  30. 30.
    Ortiz-Cordero R, Pastor E L and Fernández R E H. 2018. Proposal for the improvement and modification in the scale of evidence for virtual reconstruction of the cultural heritage: a first approach in the mosque-cathedral and the fluvial landscape of Cordoba. Journal of Cultural Heritage, 30: 10-15
  31. 31.
    Pei S Y and Wang Y. 2020. Ancient building maintenance and repair——from the theory of style repair to the original repair. Chinese and Overseas Architecture, (10): 35-37
  32. 32.
    Pu T B. 2011. Preservation of Ming Dynasty Great Wall in Qinghai Province and its protection countermeasures. Cultural Relics, (9): 86-90
  33. 33.
    Shi D, Du Z Y and Du X F. 2017. Research on the principles and social evaluation of the first restoration of Dajiden at the Heijo Palace Site in Japan. China Cultural Heritage, (2): 34-45
  34. 34.
    Shui J L, Yao G G and Feng X. 2019. Exploring the strategy of scenic forest construction in cultural heritage corridor: taking a scenic forest special plan of the ancient Great Wall cultural heritage corridor in Datong, northern China as an example. Journal of Beijing Forestry University, 41(12): 139-152
  35. 35.
    Shui W Y, Zhou M Q, Gao F and Qu L. 2015. A digital restoration method for broken bronze artifacts having a symmetrical structure. Sciences of Conservation and Archaeology, 27(4): 113-117
  36. 36.
    Soto-Martin O, Fuentes-Porto A and Martin-Gutierrez J. 2020. A digital reconstruction of a historical building and virtual reintegration of mural paintings to create an interactive and immersive experience in virtual reality. Applied Sciences, 10(2): 597
  37. 37.
    Tao W and Zan L. 2011. Management and Presentation of Chinese Sites for UNESCO World Heritage List (UWHL). Available at SSRN 1745323
  38. 38.
    Tian S and Ma W R. 2019. Multidisciplinary integration of the Ming Great Wall resources and construction of the studies on the Great Wall. Journal of Northwest Normal University (Social Sciences), 56(6): 78-86
  39. 39.
    Wang J, Shen X G and Yi L. 2015. The preservation of the Great Wall focuses on its original appearance. The Communist Party Member, (19): 46-47
  40. 40.
    Wang L P, Zhang Z, Su L and Nie W C. 2020. Target recognition and location using deep learning based on selected patterns. Journal of Harbin Engineering University, 41(4): 549-555
  41. 41.
    Wang Y. 2018. Overview of the Great Wall in Beijing. Beijing: Beijing Press
  42. 42.
    Wu C L, Liu G, Zhou Q, Zhang X L and Xu K. 2020. Fundamental problems of integrated application of big data in geoscience. Bulletin of Geological Science and Technology, 39(4): 1-11
  43. 43.
    Wu Z Z and Zhao L. 2014. On “repairing the old as the old” of historic buildings. Urban Problems, 40(2): 36-40
  44. 44.
    Xu T. 2014. Nara+20: on heritage practices, cultural values, and the concept of authenticity. World Architecture, 42(12): 108-109
  45. 45.
    Yang B S, Zhang F, Fang L N, Zang Y F, Wang Y M, Hou M L and Zhao R L. 2016. Common report about the theory and method of high-precise reconstruction of complex geometric objects. Science and Technology Innovation Herald, 13(17): 176-177
  46. 46.
    Yang S M, Zhang P and Zhang Y K. 2012. The research on the form and transformaiton of the military for tresses of the Great Wall in Ming Dynasty: Zhangjiakou Bao as an example. Architectural Journal, 68(S1): 25-29
  47. 47.
    Yu B, Xu L L, Zhang Y M and Zhang J J. 2015. Application advancement of spatial information technology in the Great Wall resources survey. China Cultural Heritage Scientific Research, (1): 67-73
  48. 48.
    Zhang B Q, Zhang J W and Shang J Y. 2021. Methods and countermeasures of the archaeological work in the Great Wall protection and maintenance projects. Journal of National Museum of China, 43(1): 21-31
  49. 49.
    Zhang J Y, Zhao X L and Chen Z. 2020. Review of semantic segmentation of point cloud based on deep learning. Laser and Optoelectronics Progress, 57(4): 040002
  50. 50.
    Zhang P Y. 2019. The transformation and practice of traditional restoration of Chinese bronzes. Study on Natural and Cultural Heritage, 4(S2): 86-90
  51. 51.
    Zhang Y K, Xu L Y, Li Y and He J. 2019. Database Construction and Application of the Defense System of Ming Great Wall from the Perspective of Spatial Humanities.Traditional Chinese Architecture and Gardens, 39(2):78-83+94
  52. 52.
    Zhao H Y, Li Z X, Han W F, Sun M L and Wang X D. 2007. Study on the main disease of the Great Wall and its conservation in Gansu province. Sciences of Conservation and Archaeology, 19(1): 28-32
  53. 53.
    Zhao Y S. 2011. The investigation and measurement of the Ming Great Wall resources. Geomatics World, 9(3): 10
  54. 54.
    Zhou X Y. 2015. Expert knowledge service: research and thinking of expert-oriented knowledge service innovation. Research on Library Science, (8): 51-56 (周新跃. 2015. 专家知识服务——面向专家的知识服务创新研究思考. 图书馆学研究, (8): 51-56) [DOI: 10.15941/j.cnki.issn1001-0424.2015.08.010]

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