Abstract: There are some problems among several monitoring systems of the National Health Commission, such as non-standard food classification and codings, non-unified hierarchy, difficulty in effective data correlation and deep mining. In order to solve the above problems: firstly, taking the food classification and coding related data in the existing National Food Contamination Reporting System, Foodborne Disease Outbreak Monitoring System and National Food Microbiological Risk Monitoring Data Summary Information Platform as research objects, compared the composition of food categories, design goals, classification levels and basis, coding digits and rules between the three major food monitoring systems; secondly, combined with Chinese complex diet structure characteristics, established a theoretical method and coding rules based on food classification + natures multivariate combination; thirdly, a food mapping and labeling system network platform based on the general standard system was established and a data mapping fusion mechanism was formed; finally, the mapping of food classification and coding in the three monitoring systems of the Health Commission was basically completed, and data fusion was realized. The general standard system established in this study has features of strong compatibility, evolvability and extensibility, which could realize cross-database query and statistics of existing food safety data. Provided a solution to further achieve cross-system, cross-department, and full-chain food safety business data fusion.

Key words: food classification and coding, data specification, data fusion; , general standard system, mapping

摘要： 针对卫健委多监测系统间食品分类编码不规范、层级不统一，数据难以有效关联、深度挖掘等问题，以现有全国食品污染物填报系统、食源性疾病暴发监测系统和全国食品微生物风险监测数据汇总信息平台中的食品分类和编码相关数据为研究对象，比较各系统食品大类构成、设计目标、分类层次及依据、编码位数及规则，结合我国饮食结构特征，构建基于食品分类+属性的多元组合理论方法及编码规则，建立基于通用标准体系的食品映射标注系统网络平台并形成数据映射融合机制。基本完成了卫健委三大监测系统中食品分类和编码的映射工作，实现了数据融合。建立的通用标准体系具备兼容性强、可进化、可扩展特点，可以实现现有食品安全数据的跨库查询、统计，为进一步实现跨系统、跨部门、全链条食品安全业务数据融合提供了解决方案。

关键词: 食品分类编码, 数据规范, 数据融合, 通用标准体系, 映射