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中国农学通报

中国农学通报 ›› 2026, Vol. 42 ›› Issue (3): 189-197.doi: 10.11924/j.issn.1000-6850.casb2025-0249

• 农业信息·科技教育 • 上一篇    下一篇

基于Spring Boot+Vue框架的肉牛场生产管理系统设计与应用

易广1,2(), 王汐琳1,2, 贺腾飞1,2, 刘宇慧1,2, 刘鑫宇1,2, 姜淞瑀1,2, 李建功1,2, 陈昭辉1,2()   

  1. 1 畜禽营养与饲养全国重点实验室， 北京 100193
    2 中国农业大学动物科技学院， 北京 100193
  • 收稿日期:2025-03-31 修回日期:2025-11-20 出版日期:2026-02-15 发布日期:2026-02-09
  • 通讯作者:
    陈昭辉，男，1981年出生，浙江乐清人，副教授，博士，研究方向：畜牧环境工程。通信地址：100193 北京市海淀区圆明园西路2号 中国农业大学西校区，E-mail：。
  • 作者简介:

    易广，男，1998年出生，江西萍乡人，博士，研究方向：智能养殖与环境科学。通信地址：100193 北京市海淀区圆明园西路2号 中国农业大学西校区，E-mail：。

  • 基金资助:
    国家重点研发计划“设施环境对种畜禽健康生产的影响及控制关键技术”(2023YFD1300804); 财政部和农业农村部国家产业技术体系“国家肉牛牦牛产业技术体系”(CARS-37)

Design and Application of a Beef Cattle Farm Production Management System Based on Spring Boot+Vue Framework

YI Guang1,2(), WANG Xilin1,2, HE Tengfei1,2, LIU Yuhui1,2, LIU Xinyu1,2, JIANG Songyu1,2, LI Jiangong1,2, CHEN Zhaohui1,2()   

  1. 1 National Key Laboratory of Livestock and Poultry Nutrition and Feeding, Beijing 100193
    2 College of Animal Science and Technology, China Agricultural University, Beijing 100193
  • Received:2025-03-31 Revised:2025-11-20 Published:2026-02-15 Online:2026-02-09

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摘要：

针对当前肉牛养殖领域普遍存在的信息缺失、管理效率低下、软硬件数据阻隔等行业痛点，本研究基于肉牛场全流程生产管理需求，设计并开发了一套Spring Boot为后端框架、Vue为前端框架的肉牛场生产管理系统。系统整合牛只全生命周期数据，构建了机构管理、牛群管理、健康管理、繁育管理、环境管理、物料管理、统计报表7大核心功能模块，实现从牛只基本档案、繁育配种、疾病免疫、体重体尺、转舍出栏等信息的规范化管理，同时集成LoRa无线自组网环境监测设备与萤石云视频监控接口，打通了软硬件数据链路。该系统已在国家肉牛产业体系黑龙江某肉牛养殖基地进行测试应用，累计录入牛只基础信息5300余条、生产数据超万条，环境数据每10 min上传1次的实时采集与上传。应用结果表明，系统兼具简单易用、稳定性好、扩展性强等特点，可将养殖场数据处理效率提升60%以上，显著降低人工统计误差，实现肉牛生产管理的标准化与数字化。本系统为肉牛产业智慧化升级提供了可落地的技术方案，也为畜牧领域信息化管理系统的开发提供了参考范式。

关键词: 肉牛, 养殖, 生产管理, Spring Boot, Vue, 系统设计, 模块化架构, 系统应用

Abstract:

To address common challenges in beef cattle production, including incomplete information, low management efficiency, and disconnected data between software and hardware, this study developed a beef cattle farm production management system based on full-process management requirements. The system employs Spring Boot as the backend framework and Vue as the frontend framework. It integrates lifecycle data of cattle and provides seven core functional modules: organization management, herd management, health management, breeding management, environmental management, materials management, and statistical reporting. The system supports standardized management of key production records, including animal profiles, breeding and mating, disease and immunization records, body weight and body measurements, pen transfers, and cattle off-take. In addition, LoRa-based self-organizing wireless environmental monitoring devices and the Ezviz Cloud video surveillance interface were integrated to connect software services with on-farm sensing and monitoring hardware, enabling unified data acquisition and management. The system was tested at a beef cattle farm in Heilongjiang Province under the National Beef Cattle Industry Technology System. During the pilot application, more than 5,300 animal records and over 10,000 production records were entered, and environmental data were collected and uploaded at 10-minute intervals. The results indicate that the system is user-friendly, stable, and scalable, improving data processing efficiency by more than 60% and significantly reducing errors associated with manual statistics, thereby promoting standardized and digitalized beef cattle production management. This system provides a practical and deployable solution for smart upgrading of beef cattle farming and offers a reference for developing information management systems in animal husbandry.

Key words: cattle, farming, production management, Spring Boot, Vue, system design, modular architecture, system application