Clustering equipment and method

Abstract

The invention provides clustering equipment, comprising an acquisition unit, a dividing unit, a construction unit and a determining unit, wherein the acquisition unit is configured to acquire monitoring data of monitoring points, and the monitoring data is spatial-temporal data; the dividing unit is configured to select target data from the acquired monitoring data and implement level division on the selected target data; the construction unit is configured to construct a clustering parameter according to the target data which is subjected to level division; and the determining unit is configured to determine categories of the monitoring points according to the clustering parameter. The invention also provides a clustering method. By adopting the clustering equipment and method provided by the invention, the relationship of temporal and spatial variations among the monitoring points can be obtained; and aiming at atmospheric pollution monitoring data, pollution nodes with similar pollution propagation links can be obtained, and thus the purpose of tracing pollution sources can be achieved.

Description

technical field [0001] This application relates to the field of data analysis, in particular to a clustering device and method. Background technique [0002] The formation of air pollution is affected by factors such as emissions, diffusion conditions, and geographical environment, and its causes are complex and diverse, which makes it difficult to accurately analyze the distribution and diffusion trend of air pollution in a certain area. Especially for tracing the source of pollution, there is a lack of effective data analysis methods. Contents of the invention [0003] The invention comprehensively considers influence factors such as air pollutants, weather, geography, etc., excavates the time-space correlation characteristics between air pollution monitoring points, and aggregates monitoring points with the same characteristics of pollution change and diffusion trend. The present invention is applicable not only to air pollution data, but also to other data with simila...

AI Technical Summary

Problems solved by technology

[0002] The formation of air pollution is affected by factors such as emissions, diffusion conditions, and geographical environment, and its causes are complex and diverse, which brings difficulties to accurately analyze the distribution and diffusion trend of air pollution in a certain area

Especially for tracing the source of pollution, there is a lack of effective data analysis methods

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