| 英文摘要 |
This article uses the National Museum of Taiwan History (hereinafter referred to as NMTH) as a case study to explore the development and challenges of museum collection management. It analyzes how to optimize and improve efficiency through smart technology tools. Since 2000, NMTH has accumulated over 150,000 artifacts (as of the end of June 2024). Collection management has gradually evolved from traditional manual and paper-based operations to digital management. However, with the continuous increase in the number of collections, NMTH still faces challenges such as insufficient resources, efficiency bottlenecks, and data application issues. To secure support from the national ''Forward-looking Infrastructure Development Program'' and ''Technology Project,'' NMTH has positioned its optimization strategy towards intelligent development. This article reviews the digitalization process of NMTH's collection management, covering the evolution of the old Ar), the new ACMIS, and the co-constructed version of the ACMIS by the Ministry of Culture. It analyzes the main technical applications, including artificial intelligence, the Internet of Things, real-time monitoring, and 3D technology, to enhance information timeliness, management efficiency, and data sharing capabilities. Internationally, institutions such as the British Museum and the Smithsonian Institution have made progress, and NMTH hopes to achieve the goal of ''precise management/prevention'' through intelligent management and meet future needs. The article concludes with the achievements and challenges of NMTH in promoting intelligent management and proposes future prospects, including personnel training, resource integration, system optimization, and information security enhancement, hoping to provide references for the museum community and promote the preservation and promotion of cultural assets. |