谭业平,胡肄农,陆昌华,郁达威.大数据技术在动物源食品质量安全管理创新体系中的应用[J].食品安全质量检测学报,2016,7(7):2973-2981
大数据技术在动物源食品质量安全管理创新体系中的应用
Application of big data technology in the quality and safety management innovation system of animal-derived food products
投稿时间:2016-06-23  修订日期:2016-07-13
DOI:
中文关键词:  动物源食品  质量管理  全程溯源  疾病远程诊断
英文关键词:animal-derived food  quality management  entire traceability  remote diagnosis
基金项目:农村领域国家科技计划项目(2015BAD12B04)、江苏省农业科技自主创新基金项目(CX(13)5031)、江苏省农业科学院基本科研业务专项项目(ZX(15)3003)
作者单位
谭业平 江苏省农业科学院兽医研究所, 农业部兽用生物制品工程技术实验室, 国家兽用生物制品工程技术研究中心 
胡肄农 江苏省农业科学院兽医研究所, 农业部兽用生物制品工程技术实验室, 国家兽用生物制品工程技术研究中心 
陆昌华 江苏省农业科学院兽医研究所, 农业部兽用生物制品工程技术实验室, 国家兽用生物制品工程技术研究中心 
郁达威 江苏省农业科学院兽医研究所, 农业部兽用生物制品工程技术实验室, 国家兽用生物制品工程技术研究中心 
AuthorInstitution
TAN Ye-Ping Institute of Veterinary Medicine, Jiangsu Academy of Agricultural Sciences, Key Laboratory of Veterinary Biologicals Engineering and Technology, Ministry of Agriculture, National Center for Engineering 
HU Yi-Nong Institute of Veterinary Medicine, Jiangsu Academy of Agricultural Sciences, Key Laboratory of Veterinary Biologicals Engineering and Technology, Ministry of Agriculture, National Center for Engineering 
LU Chang-Hua Institute of Veterinary Medicine, Jiangsu Academy of Agricultural Sciences, Key Laboratory of Veterinary Biologicals Engineering and Technology, Ministry of Agriculture, National Center for Engineering 
YU Da-Wei Institute of Veterinary Medicine, Jiangsu Academy of Agricultural Sciences, Key Laboratory of Veterinary Biologicals Engineering and Technology, Ministry of Agriculture, National Center for Engineering 
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中文摘要:
      针对我国动物源食品管理现状以及动物标识与产品质量安全溯源体系存在的瓶颈, 本文提出深化拓展动物产品质量安全全程溯源体系建设的建议。借鉴国外在畜禽养殖业信息化、智能化与自动化方面的经验, 提出开展动物源食品产业链质量安全控制全程追溯即“物联网”关键技术研究, 一是对现代养猪场采用“电子标识+自动饲喂+自动称重”技术; 二是构建智能化动物产品质量安全管理创新体系; 三是进一步开展猪肉产品质量安全风险预警系统的规划。同时利用大数据技术处理和新的数据类型分析(远程疾病图像诊断和电子邮件), 为未来智能化远程诊断动物疾病提供支撑。
英文摘要:
      On account of the management situation of animal-derived food products in our country, and the bottlenecks of animal identification and quality and safety traceability system of products, this article put forward to deepen and expand the construction of quality safety traceability system of animal-derived food. By referring to the foreign experience in livestock and poultry breeding industry informatization, intellectualization and automation, the key technique of internet of things of animal-derived food products for development of quality and safety traceability system was put forward as follows: application of “electronic identification, automatic feeding and automatic weighing” technical methods in the modern hoggery; establishment of the intelligent animal product safety and quality management innovation system; development of quality safety risk early warning system of pork products. Meanwhile, big data technology and analysis of new data types (remote image diagnosis and electronic mail) could provide support for intelligent remote diagnosis of animal diseases in the future.
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