农业大数据学报2026，Vol.8Issue(2)：174-182,9.DOI:10.19788/j.issn.2096-6369.000140
基于多模块协同的动物疫病数据综合分析与预警平台(ReEpi)的设计与开发
Design and Development of an Integrated Analysis and Early Warning Platform for Animal Epidemic Data Based on Multi-Module Collaboration
摘要
Abstract
Given the characteristics of animal disease data,such as multi-source heterogeneity,spatiotemporal correlation,and small-sample imbalance,this study constructs and implements a multi-module collaborative intelligent analysis and early warning platform for animal diseases(ReEpi).Covering the entire process of"data-analysis-early warning-visualization",the platform integrates functional modules including data governance,statistical analysis,epidemiological modeling,molecular evolution analysis,spatial geographic analysis,intelligent diagnosis,and risk early warning.It adopts a reusable and loosely coupled architecture,combined with the Streamlit frontend and the Python scientific computing ecosystem,ensuring both usability and scalability.Integrated tests and preliminary applications show that the platform performs well in accuracy,stability,and interactive experience,and can effectively support animal disease analysis and auxiliary decision-making in the context of agricultural big data.关键词
农业大数据/动物疫病/流行病学/时空分析/风险预警/可视化Key words
big data analytics in agriculture/animal infectious disease/epidemiology/spatial analysis/risk early warning/visualization引用本文复制引用
刘思焱,魏丽丽,王靖飞..基于多模块协同的动物疫病数据综合分析与预警平台(ReEpi)的设计与开发[J].农业大数据学报,2026,8(2):174-182,9.基金项目
国家重点研发计划(2023YFC2605001) （2023YFC2605001）
国家自然基金面上项目(32272980) （32272980）
黑龙江省自然基金重点项目(ZD2024C005). （ZD2024C005）
