本课题立足于我国可持续发展战略中绿色建筑精细化设计与管理的总要求，针对湿热地区幼教建筑所面对复杂使用者行为（环境调节行为及幼儿个体活动行为）与建筑室内热环境匹配度问题，以指导建筑设计与环境调控行为为目的，提出构架一套针对幼教建筑的全年动态热环境评价以及应用反馈方法。研究内容包括：（1）引入深度神经网络算法，建立幼儿热舒适预测模型，探讨幼儿个体活动行为、环境调控行为及其他因素与室内热舒适的定量映射关系。（2）基于监测数据及幼儿热舒适预测，构建可全面反映室内热环境及舒适度变化与分布规律的热环境动态评价方法，并通过对评价结果的分析及信息提取，将抽象评价结果转化为进一步优化应用中所需的具体优化目标。（3）分别针对环境调控行为优化及建筑设计优化给出各自适宜优化方法。本研究旨在完善和充实幼教建筑热环境评价方法体系，并为精细化建筑设计及管理提供量化指导依据。

The refinement of green building design and management is one of the primary considerations in the sustainable development strategies in China. There is a practical but not fully studied problem for pre-school buildings in the hot and humid region - the mismatch between indoor thermal environment and occupant behaviors (i.e., personal activities of children and environmental behaviors of teachers). To address this problem, this project proposes a research concept: developing a dynamic quantitative evaluation method for the indoor thermal environment in pre-school buildings in the hot and humid region of China, aiming at providing guidance for building design and management. The main content consists of the following three stages: (1) This study builds a thermal comfort prediction model for children based on the deep neural network algorithm. The model is used to investigate the quantitative relationship between the indoor thermal comfort, personal activities of children, environmental behaviors of teachers and other relevant parameters. (2) Based on the data from the field study, this study establishes a dynamic quantitative evaluation method for the indoor thermal environmental quality of pre-school buildings. The evaluation results illustrate the annual fluctuations and distributions of the indoor thermal environmental quality and thermal comfort. Moreover, this study investigates the method to transform the evaluation results into specific optimization targets for further application. (3) The appropriate optimization methods are developed for the optimization of building design and the optimization of environmental behaviors, respectively. This study aims to improve the current evaluation method for indoor thermal environmental quality and provide quantitative guidance for building design and management.