大数据技术在食品安全监管中的应用及挑战

Application and challenges of big data technology in food safety supervision

中文关键词:  大数据  食品安全  监管  应用  对策

英文关键词:big data  food safety  supervision  application  countermeasure

中文摘要:

      大数据具有数据规模大、处理速度快、数据种类多、数据价值高的特点, 其在食品安全领域的创新应用, 可以使食品安全监管更加智能化和公开化, 促进市场监督管理的规范化, 满足民众对于食品安全的迫切需求, 促进食品企业提升产品质量意识, 增强食品安全的公信力。本文系统概述了食品安全大数据的主要特征, 综述了其在市场监管部门中应用及在食品安全溯源、食品安全风险预警中的应用。同时分析了目前食品安全大数据技术存在不共享、不融合、不安全等问题, 这些问题制约了行业的整体发展。通过对问题的深入剖析, 提出今后的食品安全大数据发展应突破地域限制, 加强多部门跨地区跨领域协作等对策, 让食品安全大数据技术更好地造福于人类。

英文摘要:

      Big data has the characteristics of large scale, fast processing speed, multiple types and high value. Its innovative applications in the field of food safety can make food safety supervision more intelligent and open, promote the standardization of market supervision and management, meet the urgent needs of the public for food safety, promote food enterprises to improve product quality awareness and enhance the credibility of food safety.. This article systematically summarized the main characteristics of big data in food safety, and summarized its application in market supervision departments and its application in food safety traceability and food safety risk early warning. At the same time, the paper analyzed the problems of current food safety big data technology, such as non-sharing, non-integration, and insecurity, which restricted the overall development of the industry. Through an in-depth analysis of the problem, it is proposed that the future development of food safety big data should break through geographical restrictions and strengthen multi-sectoral, cross-regional and cross-domain cooperation, so as to make food safety big data technology better benefit mankind.