基于规则库引擎构建食品安全风险评估及预警系统

目的 构建适用于食品安全抽检数据的食品安全风险评估及预警系统。方法 使用结构化查询语言,基于规则库引擎的高效匹配算法,通过对数据的预处理、构建基本事件模式和复合事件模式、规则库配置,对145个数据属性进行筛选优化。并使用53 047条食品安全抽检数据进行验证和测试。结果 从大量属性中筛选出供系统使用的核心属性4类,形成基本规则7条,复合规则3条。通过验证,预警系统测试良好稳定,测试结果与人工标注结果一致。结论 本研究创建了一种规则的生成和合成机制,建立了可实现实时预警和定时预警的食品安全风险评估及预警系统。该系统可实现食品安全风险评估的快速准确预警。

Construction of a food safety risk assessment and early warning system based on a rule base engine

Objective To establish a food safety risk assessment and early warning system suitable for food safety sampling data. Methods By using structured query language, efficient matching algorithm based on rule base engine, 145 data attributes were filtered and optimized through preprocessing of data, construction of basic event mode and compound event mode, and rule base configuration. 53 047 pieces of food safety sampling data was used for verification and testing. Results 4 types of core attributes were selected, and 7 basic rules and 3 compound rules were formed. Through verification, the early warning system was good and stable, and the test results were consistent with the manual labeling results. Conclusion This study has created a rule generation and synthesis mechanism, and established a food safety risk assessment and early warning system that can realize real-time and early warning. The system can realize fast and accurate early warning of food safety risk assessment.