Abstract:

According to the characteristics of air quality monitoring data, a clustering algorithm of multiple data streams based on synchronous correlation is presented. On the basis of the national environmental quality standards and the actual monitoring data, the air quality is evaluated and the correlation about the air pollution index is analysed. The result shows that the application of multi data stream clustering based on the synchronous correlation is feasible.

Key words: Synchronous correlation, Clustering of multi data stream, Air quality, Evaluation

摘要： 根据空气质量监测数据的特点,给出一种基于同步相关性的多数据流聚类算法。根据国家环境质量
标准,结合实际监测数据,对某地区空气质量进行了评价并对空气污染指标进行了相关性分析,说明基于同步相关
性的多数据流聚类在空气质量评价应用中的可行性。

关键词: 同步相关性, 多数据流聚类, 空气质量、 评价