基于大数据的空调系统优化控制技术的研究进展
Research Progress on Big Data-Based Optimal Control Technology for HVAC Systems
DOI: 10.12677/mos.2025.1410621, PDF,   
作者: 丁晓颖*, 王 丹:上海理工大学环境与建筑学院,上海
关键词: 空调系统大数据优化控制HVAC Big Data Optimal Control
摘要: 目前众多研究利用基于大数据的智能化技术来优化控制空调系统,降低空调系统的能耗,同时保证人体的舒适度。本文将近几年的研究根据控制对象所属的系统部分进行分类,即分为风系统、冷水系统、热水系统和风水联合优化控制四个部分总结近几年的研究进展,再介绍这些技术的实际应用程度,最终对未来研究提出建议。
Abstract: A growing body of current research employs big data-based intelligent technologies to optimize and control heating, ventilation, and air conditioning (HVAC) systems, with the dual objectives of reducing HVAC energy consumption and safeguarding human thermal comfort. This paper synthesizes the research progress achieved in recent years by categorizing relevant studies based on the subsystem to which the control object belongs. Specifically, the studies are classified into four domains: air system optimization control, cooling water system optimization control, hot water system optimization control, and air-water integrated optimization control. Subsequent to this classification-based synthesis, the paper elaborates on the practical application status and implementation level of these technologies. Finally, it proposes targeted recommendations for future research directions in this field.
文章引用:丁晓颖, 王丹. 基于大数据的空调系统优化控制技术的研究进展[J]. 建模与仿真, 2025, 14(10): 248-262. https://doi.org/10.12677/mos.2025.1410621

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