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作 者:蒋婧 张静怡 聂皓清 姜之涛 刘菲 Jiang Jing;Zhang Jingyi;Nie Haoqing;Jiang Zhitao;Liu Fei(School of Urban Planning and Municipal Engineering,Xi’an Polytechnic University,Xi’an,710048)
机构地区:[1]西安工程大学城市规划与市政工程学院,西安710048
出 处:《制冷与空调(四川)》2025年第1期108-114,共7页Refrigeration and Air Conditioning
基 金:国家自然科学基金青年项目(51908438)。
摘 要:教室内环境的优劣不仅影响学生的健康舒适,还会对其学习效率产生直接影响。在针对过渡季高校室内温湿度、CO_(2)浓度、声音强度和光照强度对学生学习效率影响的研究基础上,利用分段线性插值法和CRITIC客观权重赋权法,建立基于学习效率的室内环境因素敏感性评价模型,探讨典型环境因素对学习效率影响的敏感性。结果发现:160~197lx的光照强度、超过21.5℃的温度或超过2481ppm的CO_(2)浓度会降低专注力;184~260lx的光照强度或40~47d B的声音强度有利于感知力;光照强度超过310lx会降低理解记忆能力;21.5℃的温度或声音强度超过42.5d B有利于逻辑推理能力。声音强度对于专注力、感知力及逻辑推理能力最敏感,温度对于理解记忆能力最敏感;环境因素敏感性占比为:声环境(30.5%)、热环境(29.5%)、空气品质(23.5%)、光环境(16.5%)。The quality of indoor environment not only affects students'health and comfort,but also has a direct impact on their learning efficiency.In this paper,on the basis of the research on the impact of indoor temperature and humidity,CO_(2)concentration,sound intensity and light intensity on students'learning efficiency in colleges and universities in the transition season,a sensitivity evaluation model of indoor environmental factors based on learning efficiency was established by using segmented linear interpolation and CRITIC objective weight assignment method to explore the sensitivity of the impact of typical environmental factors on learning efficiency.The results found that:light intensity of 160~197lx,temperature over 21.5℃or CO_(2)concentration over 2481 ppm decreased concentration;light intensity of 184~260lx or sound intensity of 40~47dB favored perception;light intensity over 310lx decreased comprehension and memory ability;temperature of 21.5℃or sound intensity over 42.5dB favors logical reasoning ability.Sound intensity was the most sensitive to concentration,perception,and logical reasoning,and temperature was the most sensitive to comprehension and memory;the percentage of environmental factor sensitivity was:sound environment(30.5%),heat environment(29.5%),air quality(23.5%),and light environment(16.5%).
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