尝试通过响应式智能可变空间提升动态天气下的室外微环境舒适度,结合物联网、网络数据自动抓取、机器学习、电机自动化控制等技术提出技术路线,实现"智能学习-感知输入-自动决策-输出执行"的系统整体流程,进而实际设计并建造了两个响应式智能装置,并通过模拟和实测验证了其调节室外环境品质的有效性.为提升城市开放空间的舒适性提出了新思路,有助于促进人居环境的智慧化、个性化.
This paper aims to enhance the outdoor microenvironment comfort in dynamic weather conditions through responsive intelligent variable space.By incorporating technologies such as the Internet of Things,automated data retrieval,machine learning,and motorized automation control,it proposes a technical roadmap to achieve the overall system workflow of"smart learning,perceptive input,automatic decision and output execution."Furthermore,two responsive intelligent devices are designed and constructed,and their effectiveness in regulating outdoor environmental quality is validated thr(o)ugh simulations and practical measurements.It presents a novel approach to improving the comfort of the urban open space,thereby contributing to the intelligent and personalized development of the human living environment.