%0 Journal Article
%T 基于多模态融合的智慧街镇基层治理平台<br>Smart Street and Town Management Platform Based on Multimodal Fusion
%A 陈文
%A 梁华宇
%A 廖红虹
%J Computer Science and Application
%P 24-34
%@ 2161-881X
%D 2025
%I Hans Publishing
%R 10.12677/csa.2025.156154
%X 数字技术和人工智能技术赋能基层治理是适应基层政府数字化转型发展的必然要求&#65292;也是提升基层治理能力现代化水平的重要途径。本文提出了一种基于多模态数据融合的智慧街镇基层治理平台&#65292;旨在通过整合多源数据&#65292;构建高效、智能的基层治理新模式。该平台以多模态融合的基层治理大模型为底座&#65292;结合大小模型协同技术&#65292;实现了事件的自动填报、精准派发和智能处置&#65292;有效提升了基层治理的自动化和智能化水平。通过多源设备联动和应用迭代&#65292;平台推动了基层治理从模糊到精准、从被动应对到主动研判的转变&#65292;为街镇基层治理提供了有力的技术支撑。<br>Empowering grassroots governance with digital technology and artificial intelligence technology is an inevitable requirement for adapting to the digital transformation and development of grassroots governments, and is also an important way to improve the modernization level of grassroots governance capabilities. This paper proposes a smart street and town management platform based on multimodal data fusion, aiming to build an efficient and intelligent new model of grassroots governance by integrating multi-source data. The platform is based on a large model of grassroots governance with multimodal fusion, and combines large and small model collaboration technology to achieve automatic reporting, accurate distribution and intelligent handling of events, effectively improving the automation and intelligence level of grassroots governance. Through the linkage of multi-source equipment and application iteration, the platform has promoted the transformation of grassroots governance from fuzzy to precise, from passive response to active research and judgment, and provided strong technical support for grassroots governance in streets and towns.
%K 基层治理&#65292
%K 多模态大模型&#65292
%K 大小模型协同&#65292
%K 多源数据融合<br>Grassroots Governance
%K Large Multimodal Models
%K Large and Small Model Collaboration
%K Multi-Source Data Fusion
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=117094