蛋鸡产业综合监管大数据平台:架构、技术与应用  

Big Data Platform for Comprehensive Supervision of Laying Hens Industry:Framework,Technology,and Application

作　　者：卫培刚 孙伟[2,4] 王梁 孔繁涛 刘继芳 吴迪梅[5] 曹姗姗 WEI Peigang;SUN Wei;WANG Liang;KONG Fantao;LIU Jifang;WU Dimei;CAO Shanshan(Institute of Special Animal and Plant Sciences,Chinese Academy of Agricultural Sciences,Beijing 100081,China;Agricultural Information Institute,Chinese Academy of Agricultural Sciences,Beijing 100081,China;Institute of Agricultural Economics and Development,Chinese Academy of Agricultural Sciences,Beijing 100081,China;National Agriculture Science Data Center,Beijing 100081,China;Beijing General Station of Animal Husbandry,Beijing 100107,China)

机构地区：[1]中国农业科学院特产研究所,北京100081 [2]中国农业科学院农业信息研究所,北京100081 [3]中国农业科学院农业经济与发展研究所,北京100081 [4]国家农业科学数据中心,北京100081 [5]北京市畜牧总站,北京100107

出　　处：《沈阳农业大学学报》2025年第1期128-139,共12页Journal of Shenyang Agricultural University

基　　金：国家重点研发计划项目(2023YFD200080503);中国农业科学院农科英才领军人才支持项目(10-IAED-RC-09-2024);2021年北京良种蛋鸡产业集群产业服务能力提升项目(CFTC-BJ03-2203011)。

摘　　要：[目的]蛋鸡产业的高质量发展在我国建设现代化产业体系和全面实现乡村振兴的过程中发挥着重要作用,针对当前蛋鸡产业内部数据资源利用率低、信息化水平不高等问题,构建了蛋鸡产业综合监管大数据平台。[方法]以北京市良种蛋鸡产业集群为研究对象,设计了面向蛋鸡产业综合监管大数据平台的总体架构和逻辑功能,阐明了数据抓取与融合、产销智能推荐方法、产品溯源技术和粪污还田利用计算方法等关键技术,采用主流的服务框架和开源软件系统,设计基于MongoDB、PostgreSQL和PostGIS的混合存储模式,研发北京市蛋鸡产业综合监管大数据平台。[结果]典型应用场景分析表明,该平台能够满足产业动态监管、产业运行分析、产品质量溯源、产销对接匹配、粪污资源化利用等核心应用需求,完善贯通蛋鸡产业链信息化服务,强化产品追溯和产销服务,实现全产业链信息化闭环管理。[结论]该平台可有效提升北京蛋鸡产业集群的综合监管能力,为蛋鸡产业高质量发展提供便捷、高效、智能的信息技术工具。[Objective]The high-quality development of the laying hens industry plays an important role in the construction of a modern industrial system and the comprehensive realization of rural revitalization in China.In response to the current problems of low utilization of internal data resources and low level of informatization in the laying hens industry,a comprehensive supervision big data platform for the laying hens industry has been constructed.[Methods]Taking the Beijing Fine Breed Egg Hen Industry Cluster as the research object,the overall framework and logical functions of the big data platform for comprehensive supervision of the laying hens industry were designed.The key technologies such as data capture and fusion,intelligent recommendation methods for production and sales,product traceability technology,and calculation methods for returning manure to the field were elucidated.Using mainstream service frameworks and open-source software systems,a hybrid storage mode based on MongoDB,PostgreSQL and PostGIS was designed,and the Beijing big data platform for comprehensive supervision of laying hen industry was developed.[Results]Typical application scenario analysis shows that the platform can meet core application needs such as industry dynamic supervision,industry operation analysis,product quality traceability,production and sales matching,and utilization of fecal resources.It improves and connects the information services of the laying hens industry chain,strengthens product traceability and production and sales services,and achieves closed-loop management of the entire industry chain information.[Conclusion]The platform effectively enhances the comprehensive regulatory capacity of the Beijing laying hens industry cluster,providing convenient,efficient,and intelligent information technology tools for the high-quality development of the laying hens industry.

关 键 词：蛋鸡产业 产业监管 全产业链 大数据平台 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]