数字孪生与AIoT的智慧园区一体化管控平台架构研究

粟丽; 卢海滨; 苏锋; 姚艾利; 李睿

数字孪生与AIoT的智慧园区一体化管控平台架构研究

投稿时间：2025-12-03 修订日期：2026-01-12 点此下载全文

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作者	单位	邮编
粟丽	中交京津冀投资发展有限公司	300200
卢海滨	天津设计之都城市发展有限公司
苏锋	中国市政工程西南设计研究总院有限公司
姚艾利	中国市政工程西南设计研究总院有限公司
李睿^*	中国市政工程西南设计研究总院有限公司	300200

中文摘要:为解决智慧园区系统烟囱化、运维低效及决策被动等问题，本文提出融合数字孪生与AIoT技术的一体化管控平台架构。构建“云-边-端”协同的分层解耦体系，设计全要素语义建模、多源异构数据自适应融合引擎及云边端协同调度机制三大核心创新。实验结果表明，该架构较传统及主流架构，安防响应时间缩短60%、能源利用率提高15%、运维人力成本降低30%，数据融合准确率达98.7%，云端算力消耗降低40%，可支撑园区精细化治理与智能决策，为智慧园区集成升级提供可行方案。

中文关键词:数字孪生智能物联网智慧园区一体化管控平台架构物联网

Architecture of Integrated Management Control Platform for Smart Parks: Digital Twin and AIoT Perspective

Abstract:To address issues such as system silos, inefficient operation and maintenance (O&M), and passive decision-making in smart parks, this paper proposes an integrated management and control platform architecture fusing Digital Twin and AIoT technologies. A hierarchical and decoupled system with "cloud-edge-end" collaboration is constructed, featuring three core innovations: full-element semantic modeling, an adaptive fusion engine for multi-source heterogeneous data, and a cloud-edge-end collaborative scheduling mechanism. Experimental results show that compared with traditional and mainstream architectures, this architecture shortens security response time by 60%, improves energy utilization rate by 15%, reduces O&M labor costs by 30%, achieves a data fusion accuracy of 98.7%, and lowers cloud computing power consumption by 40%. It can support refined governance and intelligent decision-making in parks and provide a feasible solution for the integration and upgrading of smart parks.

keywords:Digital Twin, Artificial Intelligence of Things, Smart Park, Integrated Management and Control, Platform Architecture, Internet of Things

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