基于多元自适应回归样条的室内温度影响因素分析  

Analysis of Influence Factors of Electric Geothermal Indoor Temperature Based on Multivariate Adaptive Regression Spline

作　　者：王盛慧[1] 张亭亭 WANG Sheng-hui;ZHANG Ting-ting(College of Electrical and Electronic Engineering,Changchun University of Technology,Changchun 130012,China)

机构地区：[1]长春工业大学电气与电子工程学院,长春130012

出　　处：《科学技术与工程》2018年第26期200-206,共7页Science Technology and Engineering

摘　　要：为了对室内温度影响因素进行分析,引入了多元自适应样条回归模型。使用多元自适应样条算法对室外因素(室外温度、太阳辐射、风速、时间)、不同材料墙体、窗户朝向以及不同楼层等影响因素进行分析研究。结果表明:室外因素中对室内温度影响程度最大的是室外温度,其影响系数为0.405;墙体材料的导热系数为0.93时,其保温性越差,对室内温度影响越大,其影响系数为0.530;西向、东向、顶层和底层的房间保温性最差,对室内温度影响最大,其影响系数分别为0.706、0.423、0.610、0.580。对室内温度影响因素分析,可以为建筑节能减排提供依据。In order to analyze the influence factors of indoor temperature,a multivariate adaptive regression spline model is introduced.Using multivariate adaptive spline algorithm of exterior factors(outdoor temperature,solar radiation and wind speed,time),different materials such as floor of wall,window facing and different influence factors are analyzed.The results show that outdoor temperature is the most influential factor in indoor temperature,the influence coefficient is 0.405.When the thermal conductivity of wall materials is 0.93,the worse the thermal insulation,the greater influence on indoor temperature,the influence coefficient is 0.530.West,east,top and bottom rooms have the worst thermal insulation,which has the greatest impact on indoor temperature,the influence coefficients are 0.706,0.423,0.610 and 0.580 respectively.The analysis of the influence factors of indoor temperature can provide the basis for building energy conservation and emission reduction.

关 键 词：室内温度 多元自适应回归样条 影响因素 室外因素 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构] TU111.19[自动化与计算机技术—计算机科学与技术]