图书情报知识 ›› 2023, Vol. 40 ›› Issue (5): 148-156.doi: 10.13366/j.dik.2023.05.148

• 情报、信息与共享 • 上一篇    

基于多源数据融合和关联性分析的食品安全风险预警机制

阮晓星1, 金鑫2, 吴焱3   

  1. 1.咸宁市市场监管局科信中心,咸宁,437100;
    2.武汉大学计算机学院,武汉,430072;
    3.湖北省标准化与质量研究院,武汉,430072
  • 出版日期:2023-09-10 发布日期:2023-10-22
  • 通讯作者: 金鑫(ORCID:0000-0001-6664-0770),博士研究生,高级工程师,研究方向:人工智能,Email:14006938@qq.com
  • 作者简介:阮晓星(ORCID:0000-0001-9865-339X),硕士,高级工程师,研究方向:大数据、电子政务,Email:ruan9172@foxmail.com;吴焱(ORCID:0000-0003-3460-813X),硕士,高级工程师,研究方向:标准化与质量、信息分类与编码,Email:48012570@qq.com。
  • 基金资助:
    本文系湖北省市场监督管理局技术保障和科技计划专项项目“食品安全大数据感知平台”(Hbscjg-JS2021010)的研究成果之一。

Food Safety Risk Early Warning Mechanism Based on Multi-source Data Fusion and Correlation Analysis

RUAN Xiaoxing1, JIN Xin2, WU Yan3   

  1. 1.Science and Information Center, Market Supervision Bureau of Xianning City, Xianning, 437100;
    2.School of Computer Science, Wuhan University, Wuhan, 430072;
    3.Hubei Institute of Standardization and Quality, Wuhan, 430072
  • Online:2023-09-10 Published:2023-10-22
  • Contact: Correspondence should be addressed to JIN Xin, Email: 14006938@qq.com, ORCID: 0000-0001-6664-0770
  • Supported by:
    This is an outcome of the project "Food Safety Big Data Perception Platform"(Hbscjg-JS2021010)supported by the special project for technical support and science and technology programs of Hubei Market Supervision Administration.

摘要: [目的/意义]研究基于多源数据融合的单点预警机制及基于关联性分析的扩散预警机制,完善食品安全风险预警体系,推进食品安全监管工作创新。[研究设计/方法]利用多层感知机和词向量模型对多源数据进行学习和融合,实现对被抽检经营主体的单点预警决策。同时,利用关联性分析,根据经营主体之间的结构化关系,实现对其他相关经营主体的实时预警决策。[结论/发现]采用单点预警和扩散预警决策机制,可精准定位风险预警级别,并对预警进行扩散,从而为建立实时预警监管机制和预警处置闭环管理机制创造基础条件。[创新/价值]单点预警机制能够对多种不同来源的信息进行高效融合,实现精确的单点预警;扩散预警机制能够基于关联性分析对单点预警进行自动化扩散,实现了从点到面的高效预警。整体上,本文提出的预警机制能够提高食品安全监管工作效率与质量。

关键词: 食品安全风险预警, 多源数据融合, 关联性分析, 单点预警, 扩散预警

Abstract: [Purpose/Significance] This study intends to study the single point early warning mechanism based on the fusion of multi-source data and the diffusion early warning mechanism based on correlation analysis to improve the food safety risk early warning and efficiently promote innovation in food safety supervision. [Design/Methodology] This paper firstly uses multi-layer perceptron and word vector model to learn and fuse multi-source data to achieve single point early warning decision-making for the currently sampled business subjects. In addition, correlation analysis is adopted to diffuse the warning information according to the structured relationship between business subjects, in order to achieve real-time early warning decision-making for business subjects related to the currently sampled business subjects. [Findings/Conclusion] By using the decision-making mechanisms of single point early warning and diffusion early warning, the risk warning level can be accurately located, and the early warning can be diffused, thus creat the basic conditions for the establishment of a real-time early warning regulatory mechanism and a closed-loop management mechanism for early warning disposal. [Originality/Value] The single point early warning mechanism can efficiently integrate information from many different sources to realize precise single point early warning; the diffusion early warning mechanism can automate the diffusion from single point to multiple points early warning based on correlation analysis, realizing efficient early warning from point to surface. On the whole, the early warning mechanism proposed in this paper can improve the efficiency and quality of food safety supervision.

Keywords: Food safety risk warning, Multi-source data fusion, Correlation analysis, Single point early warning, Diffusion early warning