HighTech and Innovation Journal (Jun 2024)

Application of Smart Model in the Analysis of Opera Heritage Archiving and Protection

  • Xueying Liu,
  • Wei Zhou,
  • Yuting Dong,
  • Libing Zhu,
  • Naijia Chen

DOI
https://doi.org/10.28991/HIJ-2024-05-02-09
Journal volume & issue
Vol. 5, no. 2
pp. 349 – 360

Abstract

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Objective: Opera Heritage in China is a rich and diverse cultural tradition passed down through generations. Today, Opera Heritage remains an essential part of Chinese culture and is celebrated through performances, festivals, and other cultural events. Efforts are being made to preserve and promote Opera Heritage through innovative technologies and approach such as digital archives, virtual reality, and community-based heritage management. Analysis: In this study, we suggested the SMART model that seeks to integrate these technologies and approaches into the preservation and promotion of Opera Heritage, ensuring that this rich cultural tradition can be enjoyed by future generations. We employed an ‘opera heritage’ using the Smart model in this study. In this research, "Smart Heritage" was defined as heritage experiences that used the word "Smart Heritage" or "similar terms" to describe the smart model. Findings: Opera Heritage analysis paid close attention to cutting-edge tools to record developments that showcase technical independence. Due to language barriers, this article could only interpret a clear convergence between SMART and opera heritage protection. For China's Opera Heritage to be properly archived and protected, a holistic and cooperative strategy that incorporates cutting-edge technologies and community-based heritage management practises are essential. Conclusion:Innovating technologies such as virtual reality and digital archives have been employed in efforts to promote and preserve China's rich Opera Heritage. This study emphasises the necessity for an extensive strategy for the efficient preservation and protection of Opera Heritage and suggests the SMART model to incorporate these methods. Doi: 10.28991/HIJ-2024-05-02-09 Full Text: PDF

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