大数据共享背景下食品分类的探讨
食品分类方法不统一是我国食品安全相关部门间实现抽检、监测大数据信息融合共享的瓶颈。本文对我国现行的3个主要食品分类系统进行了分析, 在此基础上探讨了新的食品分类系统构建, 通过制定统一的食品分类国家标准, 纳入更多的食品类别, 建立科学的分类原则, 形成合理的分类层级和及时增补机制, 构建一套统一、科学、权威的食品分类系统, 解决当前食品分类不兼容导致各食品安全部门抽检数据难融合的现实问题, 可实现跨部门大数据集成共享、信息互联互通, 形成食品安全多部门共治的新格局, 从而提高我国食品安全监管整体效率。
Inconsistency of food classification methods is the bottleneck of inspection and monitoring big data fusion and sharing among the food safety relevant authorities. This paper analyzed the 3 major food classification systems in China, discussed the construction of a new food classification system, set a unified national standard for food classification, including more complete food categories, established scientific classification principles, formed a reasonable classification levels and ranks, and implemented a timely updating mechanism. The practical problem of data fusion from various food safety departments could be solved by building a unified, scientific and authoritative food classification system, to realize data integration and sharing, information interconnecting across sectors, and form a new pattern of multi-sector co-governance of food safety, thus improving the overall efficiency of food safety supervision in China.
标题：大数据共享背景下食品分类的探讨
英文标题：Discussion of classification of food in the background of big data sharing
作者：
彭青枝 湖北省食品质量安全监督检验研究院；湖北省食品质量安全检测工程技术研究中心
万旭刚 湖北省食品质量安全监督检验研究院；湖北省食品质量安全检测工程技术研究中心
黄茜 湖北省食品质量安全监督检验研究院；湖北省食品质量安全检测工程技术研究中心
周陶鸿 湖北省食品质量安全监督检验研究院；湖北省食品质量安全检测工程技术研究中心
中文关键词:食品分类,大数据,共享,
英文关键词:classification of food,big data,sharing,
发表日期：2019-04-12
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