[目的/意义]数智赋能为区域知识创新提供了新的知识生成逻辑，不仅加速了系统内部的知识流动，也提高了区域间的知识耦合程度。探索数智赋能下知识生态系统新的演化逻辑与知识生成能力，能够提高我国的区域知识创新水平与知识生成能力。[方法/过程]根据耗散结构理论，将布鲁塞尔模型转译后应用于数智化知识生态系统，分析数智化知识生态系统的演化过程。之后提出数智赋能下区域的数智赋能水平-知识管理能力指标，并利用数据进行实证分析以此得出相应结论。[结果/结论]知识生态系统在数智赋能下具备新的耗散稳态特征，同时在数智技术的推动下，知识生态系统的构成、演化与知识生成能力都发生了明显改变。

[Purpose/significance] Digital intelligence empowerment provides a new knowledge generation logic for re⁃gional knowledge innovation, which not only accelerates the knowledge flow within the system, but also improves the de⁃gree of knowledge coupling between regions. Exploring the new evolutionary logic and knowledge generation capability of the knowledge ecosystem empowered by digital intelligence can improve the level of regional knowledge innovation and knowledge generation capacity in China. [Method/process] According to the dissipative structure theory, the Brus⁃selator model was translated and applied to the digital intelligence knowledge ecosystem, and the evolution process of the digital intelligence knowledge ecosystem was analyzed. Then, the regional knowledge input-knowledge generation ability index under the empowerment of digital intelligence is proposed, and the empirical analysis of the data is used to draw corresponding conclusions. [Result/conclusion] It is found that the knowledge ecosystem has new dissipative steady-state characteristics under the empowerment of digital intelligence. At the same time, driven by digital intelli⁃gence technology, the composition, evolution and knowledge generation ability of the knowledge ecosystem have under⁃gone significant changes.