%0 Journal Article %T 基于动态数据汇聚与AIoT协同的智慧园区管理系统设计与实现
Design and Implementation of Smart Park Management System Based on Dynamic Data Aggregation and AIoT Collaboration %A 肖雷 %A 肖家彬 %A 彭仕宁 %J Computer Science and Application %P 345-358 %@ 2161-881X %D 2025 %I Hans Publishing %R 10.12677/csa.2025.154107 %X 在“双碳”战略与数字经济发展双重驱动下，针对园区数字化转型面临的数据孤岛引致的决策效能衰减、系统刚性引致的响应迟滞、能效失衡推高的碳足迹膨胀等结构性矛盾，本文提出一种基于动态数据驱动的智慧园区智能决策系统架构。通过构建多模态数据动态汇聚模型与AIoT协同优化体系两大核心引擎，设计了包含基础设施层、数据底座层、能力中台层、应用服务层和场景创新层的五维垂直架构体系，实现物理空间到数字空间的虚实映射与协同优化。在技术实现层面，采用“云–边–端”三级分布式架构，通过数字孪生底座实现全域要素数字化建模，集成开发智慧能源管理、巡检运维、智能安防联动等核心功能模块，并引入无人机协同巡检与AI场景自适应服务机制。研究成果应用于国家级数据中心园区，有效验证架构设计的科学性与实践有效性，为破解园区数字化转型的架构性困境提供了解决方案，为新型智慧园区建设提供了可复制的理论范式和技术路径。
Driven by the dual driving of the “dual carbon” strategy and the development of the digital economy, in response to structural contradictions such as the attenuation of decision-making efficiency caused by data silos, response hysteresis caused by system rigidity, and carbon footprint expansion driven by energy efficiency imbalance, this paper proposes a smart park intelligent decision-making system architecture based on dynamic data-driven. By building two core engines of multimodal data dynamic aggregation model and AIoT collaborative optimization system, a five-dimensional vertical architecture system including infrastructure layer, data base layer, capability middle platform layer, application service layer and scenario innovation layer is designed to realize virtual and real mapping and collaborative optimization from physical space to digital space. At the technical implementation level, a three-level distributed architecture of “cloud-edge-end” is adopted to realize digital modeling of all-area factors through digital twin bases, integrate and develop core functional modules such as smart energy management, inspection operation and maintenance, and intelligent security linkage, and introduce a UAV collaborative inspection and AI scenario adaptive service mechanism. The research results are applied to national data center parks, effectively verifying the scientificity and practical effectiveness of architectural design, providing solutions to solve the architectural dilemma of digital transformation of parks, and providing replicable theoretical paradigms and technical paths for the construction of new smart parks. %K 智慧园区智能决策系统， %K 动态数据驱动， %K AIoT协同优化
Smart Park Intelligent Decision-Making System %K Dynamic Data-Driven %K AIoT Collaborative Optimization %U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=113152