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作 者:王晓辉 李兆巍 杨亚龙[2] WANG Xiaohui;LI Zhaowei;YANG Yalong(School of Electrical and Information Engineering,Beijing Architecture University;Anhui Provincial Key Laboratory of Intelligent Buildings and Building Energy Efficiency at Anhui Architecture University)
机构地区:[1]北京建筑大学电气与信息工程学院 [2]安徽建筑大学智能建筑与建筑节能安徽省重点实验室
出 处:《上海节能》2023年第4期448-455,共8页Shanghai Energy Saving
基 金:安徽建筑大学智能建筑与建筑节能安徽省重点实验室开放课题(IBES2020KF06);北京建筑大学2021年度研究生创新项目(PG2021061)。
摘 要:教室作为学生学习的主要场所,其环境的优劣将直接影响学生的身心健康以及学习效率,因此有必要对智慧教室的环境进行调控。将学习效率与人体热舒适度相结合,通过实际测量和问卷调查的方式采集数据,计算得出当前平均热感觉指数PMV及被试者量化后的学习效率,并描绘了两者之间的对应关系。将学习效率最大时的PMV值作为调控方案的目标,进而设计了智慧教室内热环境的智能调控方案,通过对环境进行调控,既保证环境的舒适,使学习者的学习效率保持最大化,又尽可能地实现节能的目的,通过实例仿真模拟验证方案的有效性。As the main place for students to learn,the quality of the classrooms environment will directly affect students'physical and mental health and learning efficiency.Therefore,it is necessary to regulate the environment of smart classrooms.Combining learning efficiency with human thermal comfort,data was collected through actual measurements and questionnaire surveys to calculate the current average thermal sensation index PMV and the quantified learning efficiency of the subjects,and the corresponding relationship between the two was depicted.Taking the PMV value at the maximum learning efficiency as the goal of the control plan,an intelligent control plan for the thermal environment in the smart classroom was designed.By regulating the environment,the comfortable environment is ensured,the learning efficiency of learners is maintained to the maximum,and the purpose of energy saving is realized as far as possible.The effectiveness of the plan was verified through example simulation.
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