基于大数据的疫情监控与预测系统
Epidemic Monitoring and Forecasting System Based on Big Data
摘要:
针对疫情的实时监控和预测困难等问题，本文采用爬虫技术爬取大量疫情数据，采用大数据分析处理技术对疫情数据源进行清洗与聚类统计，采用SEIR模型与遗传算法对疫情变化趋势进行预测，采用Vue.js与Echarts进行可视化展现，以实现疫情监控与预测。
Abstract:
In view of the difficulties in real-time monitoring and prediction of the epidemic situation, this paper uses crawler technology to crawl a large number of epidemic data, then uses big data analysis and processing technology to clean and cluster the epidemic data sources, and uses SEIR model and genetic algorithm to predict the trend of the epidemic situation, Vue.js Visual display with Echarts to realize epidemic monitoring and prediction.
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