城市空气粉尘污染空间集聚数据智能挖掘技术研究  

Intelligent Mining Technology for Spatial Concentration Data of Urban Air and Dust Pollution

作　　者：郭德超[1] 张豪[2] 胡昌盛[1] Guo Dechao;Zhang Hao;Hu Changsheng(School of Economy and Management, Guangzhou University of Chinese Medicine, Guangzhou 510006, China;Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, China)

机构地区：[1]广州中医药大学经管学院,广东广州510006 [2]广州市疾病预防控制中心,广东广州510440

出　　处：《环境科学与管理》2019年第4期97-101,共5页Environmental Science and Management

摘　　要：数据挖掘技术对城市空气粉尘污染空间集聚情况分析的越准确,粉尘污染治理工作进行的就越顺利,然而目前存在的数据挖掘技术却恰恰存在分析准确不足的问题。提出一种新的城市空气粉尘污染空间集聚数据智能挖掘技术。该技术主要分为四部分:首先按照城市空间结构进行粉尘污染数据采集,之后对数据进行预处理,包括数据清理,数据集成,数据变换,数据归约等,然后构建基于模糊评判的数据挖掘模型,最后利用模型实现城市空气粉尘污染空间集聚数据智能挖掘。The more accurate the data mining technology is in analyzing the spatial agglomeration of urban air dust pollution, the smoother the dust pollution control work will be. The existing data mining technology has the problem of inaccurate analysis. Aiming at the above problems, a new intelligent data mining technology for spatial agglomeration of urban air dust pollution is proposed. The technology is mainly divided into four parts:firstly, dust pollution data is collected according to the urban spatial structure, and then the data is pretreated, including data cleaning, data integration, data transformation, data reduction, etc. Then, a data-mining model based on fuzzy evaluation is constructed. Finally, Finally, the model is used to realize the intelligent mining of urban air dust pollution spatial agglomeration data.

关 键 词：城市空间结构 粉尘污染 空间集聚 数据挖掘技术 

分 类 号：X513[环境科学与工程—环境工程]