ScholarWorks@숙명여자대학교

초록

The rapid development of digital technology in the 21st century is also demanding fundamental changes in the way art museums operate. In particular, digital twin technology is attracting attention as an innovative tool that enables data-based analysis and operational optimization by reproducing physical spaces and assets in a virtual environment in real time. Through this, art museums can realize various values such as preserving collections, providing customized services to visitors, and increasing operational efficiency. However, most art museums, especially small and medium-sized institutions, face various limitations in the introduction and operation of digital twins, such as initial investment costs, lack of specialized personnel, data security issues, and lack of technology standardization. This study analyzes the concept and characteristics of a smart art museum based on digital twins, evaluates the pros and cons of technology introduction through cases of major art museums at home and abroad, and suggests measures to solve them. The digital twin platform integrates IoT, AI, cloud computing, and big data to connect physical and digital assets, and provides the ability to predict and adjust problems through real-time data. Based on this, operational innovations such as exhibition environment optimization, customized services for visitors, and reduced maintenance costs are possible. Of course, there are also issues that need to be resolved. To address this, the study proposes a phased introduction to reduce initial cost burden, strengthen data security systems, promote technology standardization, train professional personnel, and improve accessibility for visitors. Through this, the smart art museum based on the digital twin platform will innovate operational efficiency and visitor experience, and become a future-oriented model that enables sustainable preservation and utilization of cultural heritage.

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