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Updated: Apr 28, 2026

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基于深度强化学习的基于控制的现实世界部署,以在自然通风的多室住宅中以成本高效的PM2.5缓解

Chen Chen1, Wenxin Wang2, Xiaomin Zhong2

  • 1Department of Architecture and Civil Engineering, Xiamen University, Xiamen 361005, China; Fujian Province University Key Laboratory of Intelligent and Low-carbon Building Technology, Xiamen University, Xiamen, Fujian 361005, China; Xiamen Key Laboratory of Integrated Application of Intelligent Technology for Architectural Heritage Protection, Xiamen University, Xiamen, Fujian 361005, China; Fujian Key Laboratory of Digital Simulations for Coastal Civil Engineering, School of Architecture and Civil Engineering, Xiamen University, Xiamen, Fujian 361005, China.

Journal of hazardous materials
|February 19, 2026
PubMed
概括

一个新的深度Q网络 (DQN) 控制器有效地管理了家庭的室内空气质量,大大减少了造成的细颗粒物 (PM2.5) 污染. 这种智能系统在现实环境中平衡健康保护与能源效率.

关键词:
空气净化器可以净化空气.中国的,中国的.深度强化学习的学习.室内空气质量 室内空气质量透气通风系统的通风方式

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