| 信息化时代食品安全预警体系的结构与构建技术研究进展 |
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| 引用本文： | 谌 茹,鲍 蕾,续 斐.信息化时代食品安全预警体系的结构与构建技术研究进展[J].食品安全质量检测技术,2023,14(24):35-43. |
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| 作者姓名： | 谌 茹 鲍 蕾 续 斐 |
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| 作者单位： | 雀巢研发中国有限公司,雀巢研发中国有限公司,雀巢研发中国有限公司 |
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| 摘 要： | 在信息化时代, 食品安全信息呈现出复杂化、传播快、数据量大、有效信息密度低等显著特征, 这给现代化食品安全预警体系的构建带来了困难和挑战。基于此背景, 本文首先从构建适应当前信息化发展趋势的食品安全预警体系出发, 结合国内外研究进展, 总结归纳了食品安全预警体系的定义和该体系中的3个主要构成系统, 即食品安全信息收集系统、预警信息分析系统和预警反应系统。其次阐述了结合数据库的食品安全预警体系的模块化设计路径。最后探讨了爬虫、云计算、物联网、关联分析、情感分析、深度学习等智能化信息技术在构建高效、智能的食品安全预警系统方面的最新实践。本文以期为构建适应现代化信息时代食品安全风险管理需求的预警体系提供重要的理论和技术参考。
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| 关 键 词： | 食品安全 预警体系 风险 信息化 人工智能 |
| 收稿时间： | 2023/11/1 0:00:00 |
| 修稿时间： | 2023/12/20 0:00:00 |
Research progress on the structure and building technology of the food safety early warning system in the information era |
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| SHEN Ru,BAO Lei,XU Fei.Research progress on the structure and building technology of the food safety early warning system in the information era[J].Food Safety and Quality Detection Technology,2023,14(24):35-43. |
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| Authors: | SHEN Ru BAO Lei XU Fei |
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| Affiliation: | Nestle Food Safety Institute of China,Beijing,100015,Nestle Food Safety Institute of China,Beijing,100015,Nestle Food Safety Institute of China,Beijing,100015 |
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| Abstract: | In the information era, food safety information exhibits significant characteristics such as complexity, fast dissemination, large volume, and low value density, which has posed difficulties and challenges to the construction of modernized food safety early warning system. Therefore, based on the objective of establishing the informatization trend-adaptive food safety early warning system, this article summarized the domestic and international literatures, in order to conclude the definition of a food safety early warning system and its three main components including the food safety information collection, the early warning information analysis, and the response systems. In addition, this article introduced the modular design paths for the food safety early warning system on the basis of database. At last, this review discussed the latest applications of various cutting-edge technologies in the establishment of high-efficient and smart food safety early warning system, such as the web crawling, cloud computing, internet of things, association analysis, sentimental analysis, and deep learning etc. In sum, this work provides the important theoretical and technological reference for the establishment of early warning system that meets the contemporary needs of food safety risk management in the age of modernization and informatization. |
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| Keywords: | food safety early warning system risk informatization artificial intelligence |
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