基于人工智能的建筑空调系统优化设计研究  

Research on Optimization Design of Building Air Conditioning System Based on Artificia Intelligence

作　　者：吴振宇 Wu Zhenyu(Guangdong Architectural Design and Research Institute Group Co.,Ltd.,Guangzhou 51010,China)

机构地区：[1]广东省建筑设计研究院集团股份有限公司,广州510010

出　　处：《绿色建造与智能建筑》2025年第4期25-27,共3页Green Construction and Intelligent Building

摘　　要：研究应用人工智能技术优化建筑空调系统设计。通过大规模数据采集和预处理,选择适合的机器学习算法构建精确系统模型。基于深度强化学习设计多目标优化算法,并提出动态参数调整机制,实现智能化控制。实验结果显示,采用该方法后,能耗降低了18.7%,舒适度提高了13.5%。同时展现出良好的稳定性和环境适应性。研究为建筑空调系统智能化升级提供新的技术路径,对推动建筑节能具有重要意义。This study applies artificial intelligence technology to optimize the design of building air conditioning systems.Through large-scale data collection and preprocessing,suitable machine learning algorithms are selected to construct accurate system models.A multi-objective optimization algorithm based on deep reinforcement learning is designed,and a dynamic parameter adjustment mechanism is proposed to achieve intelligent control.Experimental results show that this method reduces energy consumption by 18.7%and improves comfortby 13.5%,while demonstrating good stability and environmental adaptability.The research provides a new technical approach for the intelligent upgrade of building air conditioning systems,which is significant forpromotingbuilding energy conservation.

关 键 词：人工智能 建筑空调 系统优化 深度强化学习 多目标优化 

分 类 号：TU831.3[建筑科学—供热、供燃气、通风及空调工程]