National Urban Climate Clustering Analysis for Cluster Analysis of Container Handling Stations

Abstract

The causes of damage during the operation of the container mainly include the different types of goods, the loading and unloading operations of loading and unloading stations, and the rust damage caused by transportation and staying in different areas. Classification of railway container handling stations according to the climate data of the city in which it is located is extremely important for studying the impact of climate on container corrosion. According to the main factors of container corrosion, this paper selected the corresponding climate indicators, writed the crawling program, and collected the original climate data of 320 prefecture-level cities in China from the weather website. Through the preprocessing of data, the paper obtained the basic indicator data of urban climate clustering, and completed analysis by Kmeans clustering method. Sun, rain, salt, and pollution become the main factors in the corrosion of containers. And after cluster analysis, 320 cities are divided into 10-15 clustering groups.