数据融合在食品安全监管中的应用与研究  

Application and Research on Data Fusion in Food Safety Supervision

作　　者：杜吉梁[1] 高艳霞 DU Ji-liang;GAO Yan-xia(Lanzhou Petrochemical College;Xigu District Administration for Market Regulation)

机构地区：[1]兰州石化职业技术学院 [2]兰州市西固区市场监督管理局

出　　处：《中国标准化》2020年第3期125-128,共4页China Standardization

基　　金：国家自然科学基金项目(项目编号61163010);兰州市科技计划项目(项目编号2015-2-99);教育部职业院校信息化教学指导委员会项目(项目编号2018LXB0072)资助。

摘　　要：当前食品安全监管存在的问题主要是监管低效、监测系统孤岛林立、数据利用不充分、大数据人才匮乏等,已成为制约食品安全监管的瓶颈.本文结合西固区食品安全监管现状,探索使用大数据技术实现食药监、农牧、公安、市场和质量监督、商务、教育、民宗、卫计、城管等多部门数据的集成,构建多源数据的挖掘模型和时空分析模型.切实提高食品安全监管水平和能力.At present,the main problems in food safety supervision are inefficiency,isolated monitoring systems,inadequate data utilization,and lack of big data talents,which have become the bottleneck restricting food safety supervision.Based on the current situation of food safety supervision in Xigu District of Lanzhou,this paper explores to use big data technology to integrate the data of several departments,covering food and drug supervision,agriculture and animal husbandry,public security,market and quality supervision,commerce,education,ethnics and religion,health planning,urban management,etc.,and establishes the mining model and spatial-temporal analysis model of multi-source data,to effectively improve food safety supervision.

关 键 词：数据融合 大数据 食品安全 食品药品监督管理 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论] F203[自动化与计算机技术—计算机科学与技术]