摘要
针对原有高校图书馆室内空气污染评价模型所得数据不全面,导致最终评价结果不全面的问题,提出基于数据挖掘的高校图书馆室内空气污染评价模型构建研究。根据相关影响因素及影响过程,分析间断性污染源与连续性污染源并得出结果。将获取的高校图书馆室内空气质量数据与规定数值范围对比,利用数据挖掘技术计算空气污染评价相关参数。根据所得结果,实现高校图书馆室内空气污染评价,完成高校图书馆室内空气污染评价模型的构建。
In view of the problem that the data of the original evaluation model of University Library indoor air pollution is not comprehensive,resulting in the final evaluation results are not comprehensive,this paper puts forward the research on the construction of the evaluation model of University Library indoor air pollution based on data mining.According to the relevant influencing factors and processes,the discontinuous pollution sources and the continuous pollution sources are analyzed and the results are obtained.By comparing the acquired indoor air quality data of university library with the specified value range,data mining technology is used to calculate the relevant parameters of air pollution assessment.According to the results,the evaluation of indoor air pollution in university library is realized and the evaluation model of indoor air pollution in university library is constructed.
作者
朱蕊
Zhu Rui(Shanxi Xueqian Normal University, Xi'an 710100, China)
出处
《环境科学与管理》
CAS
2020年第9期190-194,共5页
Environmental Science and Management
关键词
数据挖掘
高校图书馆
室内空气污染
评价模型
data mining
university library
indoor air pollution
evaluation model
