摘要
近年来,国内外由食品安全问题导致的公共健康事件屡见不鲜。食品安全问题涉及食品产业链的各个环节,收集和识别食品安全风险因子,挖掘造成食品安全的重要因素,是食品安全风险预警的重要途径,也是制定管理措施的前提条件。有效利用和分析食品安全信息,开展有效预警,已经成为食品安全监管面临的重要问题。本文首先分析了食品抽检数据特征和食品安全预警模型原则,在此基础上从风险分析、趋势分析、关联挖掘、全息画像和效能评价等视角构建了基于食品抽检数据的风险预警智能分析模型。该模型旨在为食品安全的监管、消费、生产等各个环节提供有力支撑,为推进基于食品抽检数据的风险预警智能研究提供参考。
Recently,internal and external public health events caused by food safety problems are commonly happened.Food safety issues involve all aspects of the food industry chain,collecting and identifying the risk factors of food safety,and uncovering the important factors causing to food safety,is not only an important way for food safety warning,but also a prerequisite for the development of its management measures.Effective use and analysis of food safety information and early warning have become an important strategy for food safety supervision.This paper firstly analyzed the characteristics of food sampling data and the principles of food safety early warning analysis models.On this basis constructed the risk early warning intelligent analysis model based on food sampling data from the perspectives of risk analysis,trend analysis,association mining,holographic portrait and efficiency evaluation.It aims to provide strong support for the supervision,consumption,production and other aspects of food safety,and to offer reference for the intelligent research of risk warning based on the analysis of food sampling inspection data.
作者
韩世鹤
李红
江逸楠
李立
李家琦
王亚珅
HAN Shi-He;LI Hong;JIANG Yi-Nan;LI Li;LI Jia-Qi;WANG Ya-Shen(Chinese Academy of Inspection and Quarantine,Beijing 100176,China;Chongqing Institute for Food and Drug Control,Chongqing 401121,China;China Academy of Electronics and Information Technology,Beijing 100041,China)
出处
《食品安全质量检测学报》
CAS
北大核心
2022年第10期3172-3179,共8页
Journal of Food Safety and Quality
基金
国家市场监督管理总局科技计划项目(2019MK129)
国家重点研发计划资助项目(2017YFC1602000)。
关键词
食品安全
食品抽检数据
风险预警
智能分析
food safety
sampling food data
risk warning
intelligent analysis
