基于灰色聚类分析方法的某高校建筑物室内空气品质评价  

Indoor air quality evaluation of one teaching building based on grey clustering analysis

作　　者：黄超[1] 周志平[1] 王荣[1] 

机构地区：[1]桂林电子科技大学

出　　处：《制冷与空调》2010年第6期104-107,共4页Refrigeration and Air-Conditioning

基　　金：桂林市科学研究与技术开发计划项目(20090114-1)

摘　　要：为了准确客观地评价室内空气品质,对桂林市某高校的几栋典型建筑物的7种主要污染物进行实验测试。利用灰色聚类分析方法对测试的室内空气品质进行评价;建立空气品质的评价模型。通过对实验测试数据的分析与计算,得出各测试对象的舒适性程度,实现对所测对象空气质量的评价,并提出改善室内空气品质的主要措施。In order to evaluate the indoor air quality accurately and objectively,obtains a mass of experimental data in seven major indoor pollutants of several typical buildings tested in Guilin.Evaluates the indoor air quality on the basis of grey clustering analysis method,establishes an evaluation model of indoor air quality.Obtains the comfort of rooms by calculating and analyzing the specific datum,realizes the evaluation of indoor air quality,and proposes the measures to improve air quality.

关 键 词：灰色聚类分析 室内空气品质 白化函数 聚类系数 

分 类 号：X823[环境科学与工程—环境工程]