大数据背景下食品快速检测工作智慧监管模式研究
Research on smart supervision model for rapid food testing under the background of big data
刘海虹 1蔡若纯 1梁卿 1乐丽华 1钟海鹰 1雷毅1
作者信息
- 1. 广东省食品检验所(广东省酒类检测中心),广州 510165
- 折叠
摘要
目的 深挖快检数据,构建食品快速检测工作质里评价模型,实现快检工作靶向治理与智慧监管.方法 基于海量快检数据,对农贸市场食品快检工作现状及监管模式进行分析,构建食品快速检测工作质量评价模型.结果 通过开展食品快检大数据系统研究,提高快检工作评价的科学性和实效性.结论 为实现快检工作的精准监管、智慧监管,以及基层监管的有的放矢提供了理论依据和实践指导.
Abstract
Objective Deeply dig into the rapid inspection data,build a quality evaluation model for food rapid inspection work,and achieve targeted management and smart supervision of rapid inspection work.Methods Based on massive rapid inspection data,the current status and supervision model of food rapid inspection in farmers'markets were analyzed,and a quality evaluation model for rapid food inspection was constructed.Results By carrying out research on the big data system for food rapid inspection,improving the scientificity and effectiveness of the evaluation of rapid inspection work.Conclusion This study provides a scientific theoretical basis for accurate supervision,intelligent supervision and targeted supervision at the grass-roots level.
关键词
智慧监管/食品快检/质量评价/大数据/分析模型Key words
rapid food inspection/quality evaluation/big data/analysis model引用本文复制引用
出版年
2024
NETL
NSTL
万方数据