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来源：百度知道 编辑：UC知道 时间：2024/06/03 17:24:56
摘要
本案例是一个关于冬季室内温度和空气质量的问题。已知了房屋的容积，室内外的温度，居住的人口数等参量。求出室内空气浓度、温度与时间的函数关系。
模型1：根据室内外温度，以及窗户开口面积，室内气体密度，通过统计归纳得出热量交换与时间之间的具体函数关系式，从而使模型简化为热量传递与时间之间的关系，建立以温度改变率为基准的函数模型。
模型2：根据开窗换气时全面通风量，室内外污染物浓度，以及房间容积，通过统计归纳及级数展开的近似方法求解，推导出室内污染物浓度变化与时间的函数关系式，建立以室内污染物浓度变换率为基准的函数模型。
关键词： 线性规划 温度变化率 浓度变化率 二氧化碳

This case is one of winter indoor temperature and air quality problems. Known to the housing volume, indoor and outdoor temperature, the population living and parameters. Calculated indoor air concentration, temperature and time function.
Model 1: According to R, and the windows open area, indoor gas density, summed up by statistics obtained with the heat exchange between the time-specific function, thus enabling simplified model for heat transfer and the relationship between time and establish a benchmark rate of temperature change in the function model.
Model 2: According to fully ventilation window ventilation, indoor pollutant concentrations, and the room volume, summarized by statistical series started and the approximate method for derived indoor pollutant concentrations and changes as a function of time, a concentration of indoor pollutants transform function as the benchmark model.
Key words: linear programming changes in the rate of temperature change in t