Abstract: With the rapid growth of the township animal husbandry industry，the frequent outbreak of animal diseases seriously threatens the safety of the industry and the income of farmers. Establishing an early warning system for animal diseases based on big data analysis is therefore essential. Focusing on the actual needs of township animal husbandry and veterinary stations，this paper proposes a method for building an early warning system for animal diseases based on big data analysis. By integrating multi ⁃ source information such as daily farm data，epidemic detection data，and environmental monitoring data，and using data analytics methods suitable for grassroots level，a straightforward and practical early warning index system and prediction model are established. This system enables early detection and warning of animal diseases，thereby enhancing prevention and control capabilities at the township level，reducing breeding losses，and promoting the healthy development of the animal husbandry as well as public health safety.

Key words: Big data analytis, Animal diseases, Early warning system, Township animal husbandry, Veterinary station

摘要： 在乡镇畜牧养殖产业蓬勃发展的当下，动物疫病频发严重威胁产业安全与农户收益。基于大数据分析构建动物疫病早期预警系统至关重要，该文围绕乡镇畜牧兽医站实际需求，探讨基于大数据分析的动物疫病早期预警系统构建方法，通过整合养殖场日常数据、疫病检测数据、环境监测数据等多源信息，运用适合基层的数据分析手段，建立简单实用的预警指标体系和预测模型，实现动物疫病的早期发现与预警，以提升乡镇动物疫病防控能力，减少养殖损失，保障畜牧产业健康发展和公共卫生安全。

关键词: 大数据分析, 动物疫病, 早期预警系统, 乡镇畜牧兽医站