[目的/意义]智慧图书馆建设已然进入实质性推进新阶段，文章旨在探讨“数字中国”战略背景下图书馆 如何借助新馆建设的契机实现空间智慧化转型。[方法 /过程]文章采用演绎归纳的方法提炼了新馆智慧空间建 设行动路向：积极融入新型公共文化空间协同治理、日趋成熟的智慧空间服务技术应用、逐渐提高新馆空间服务 国际影响力。分析公共图书馆智慧空间内在发展的核心议题：智慧空间的服务体系化设计、物理环境要素设计、 构建技术模式聚合、数据治理框架架构。[结果/结论]基于前述分析，提出智慧空间转型实现策略：以“价值驱动” 为经“、技术应用”为纬，建设面向未来图景的智慧空间；以“用户服务”为纵“、空间评估”为横，创新智慧空间服务 高质量发展道路；以“空间感知”为表“、数据融合”为里，聚合各场景要素提供知识信息服务；以“公开共享”为锚、 “开发应用”为器，推动智慧空间数据统计发现。

[Purpose/significance] The construction of smart library has entered a new stage of substantial advance? ment，the purpose of this paper is to explore how the library can take advantage of the opportunity of the new library con? struction to achieve a breakthrough in the intelligent transformation of the space under the background of the“Digital China”strategy. [Method/process] The article uses the method of deduction and induction to refine the direction of ac? tion of the new museum's smart space construction: actively integrate into the collaborative governance of new public cultural spaces, the application of the increasingly mature smart space service technology, and gradually improve the in? ternational influence of the new museum's space service. The core issues of the internal development of the smart space in public libraries are proposed: the service system design of smart space, the design of physical environment elements, the aggregation of technology models and the framework of data governance. [Result/conclusion] This paper proposes the following strategies for the realization of smart space: take "value-driven" as the longitude and "technical applica? tion" as the latitude to build a future-oriented smart space; With "user service" as the vertical and "spatial evaluation" as the horizontal, innovate the high-quality development path of smart space services; With "spatial perception" as the table and "data fusion" as the inside, aggregate the elements of each scene to provide knowledge and information servic? es; With "open sharing" as the anchor and "development and application" as the instrument, promote the statistical dis? covery of smart spatial data.