基于大数据的食品安全风险评估与精准预警模型研究  

Research on Food Safety Risk Assessment and Accurate Early Warning Model Based on Big Data

作　　者：汪佳 WANG Jia(Guizhou Food Inspection and Testing Institute,Guiyang 550000,China)

机构地区：[1]贵州省食品检验检测院,贵州贵阳550000

出　　处：《食品安全导刊》2025年第12期123-125,共3页China Food Safety Magazine

摘　　要：近年来,食品安全问题频繁发生,基于大数据的食品安全风险评估与精准预警模型成为解决食品安全问题的重要方式。大数据技术可为食品安全提供全面的数据支持,通过精准的风险评估与预警,能够及时发现安全隐患。本文从大数据在食品安全风险评估中的价值与应用形式入手,探讨数据采集、清洗、挖掘和模式识别等关键环节,并构建基于大数据的食品安全风险精准预警模型,以期为食品安全管理提供理论支持和实践指导。In recent years,food safety problems have occurred frequently,and food safety risk assessment and accurate early warning models based on big data have become an important way to solve food safety problems.Big data technology can provide comprehensive data support for food safety,and through accurate risk assessment and early warning,potential safety hazards can be discovered in time.This paper starts with the value and application form of big data in food safety risk assessment,discusses key links such as data collection,cleaning,mining and pattern recognition,and builds a food safety risk accurate early warning model based on big data,in order to provide theoretical support and practical guidance for food safety management.

关 键 词：大数据 食品安全 风险评估 精准预警 模型构建 

分 类 号：TS201.6[轻工技术与工程—食品科学]