基于Spark技术的气象数据分析

Meteorological Data Analysis Based on Spark Technology

近些年来,气象数据规模及复杂性大大增加,这对气象数据的存储、利用及加工分析提出了更高的要求。需采用适当的技术及策略,更好地利用分析气象数据,为天气预报、气候研究及社会公共服务提供更大的价值。通过网络爬虫爬取实时天气数据,发送实时数据到Kafka消息系统中,利用Spark技术从消息队列中获取实时数据并进行数据清洗、转换、归一化、聚合、汇总、分组等操作,实现气象数据的多维度分析,利用Spark计算结果将处理后的数据进行可视化,以图表、图形等形式进行展示。

Recently,the scale and complexity of meteorological data have increased greatly,which puts forward higher requirements for the storage,utilization,processing and analysis of meteorological data.Appropriate technologies and strategies need to be adopted to make better use of analytical meteorological data to provide greater value for weather forecasting,climate research and social public services.The study obtains real-time weather data through web crawler;sends real-time data to Kafka message system;uses Spark technology to obtain real-time data from message queue;and conducts data cleaning,conversion,normalization,aggregation,summary,grouping and other operations,so as to realize multi-dimensional analysis of meteorological data,and use Spark calculation results to visualize the processed data.