关于利用大数据建立食品行业的危害控制措施指导的探讨

Establishment of guidance on hazard control measures in food industry by using big data

中文关键词:  危害分析与关键控制点  大数据  食品安全  危害  控制措施

英文关键词:hazard analysis and critical control points  big data  food safety  hazard  control measures

中文摘要:

      危害分析与关键控制点(hazard analysis and critical control points, HACCP)是预防和控制食品安全危害、防止食品安全事件发生的科学有效的工具。但危害分析以及制定相应的控制措施对多数食品企业来说是重点也是难点, 进而导致了食品不合格事件频发。我国每年的食品安全监督抽检数量达数百万次, 已具备大数据分析的基础, 利用大数据可以靶向定位食品安全问题高发的行业和危害。本研究利用大数据对食品抽检不合格原因以及整改措施进行分析, 进而有针对性地指导食品生产经营企业系统管理、实践操作, 在生产经营过程中进行风险排查, 从根源上防控食品安全危害, 分享全行业经验, 提高我国食品安全管理的整体水平, 满足人民群众日益增长的对美好安全食品的需要。

英文摘要:

      Hazard analysis and critical control points (HACCP) is scientific and effective tool to prevent and control food safety hazards and prevent food safety incidents, but hazard analysis and establishing corresponding control measures are also difficult for most food enterprises, resulting in food disqualification incidents frequently. There are millions of food safety supervision sampling annual in our country, which is the basis of big data analysis. The big data can be used to target industries and hazards with high incidence of food safety problems. Based on big data, this paper analyzed the reasons of unqualified food sampling inspection and corrective measures, further directed the systematic management and practical operation of food production and operation enterprises, and carried out risk detection in the process of production and operation, to prevent and control food safety hazards from origin, share the experience of the whole industry, improve the overall level of China's food safety management, so as to meet the people's growing need of better food safety.