通过物联网和人工智能提高冷链中的食品安全
Wagner Augusto Müller1,2, Sandro Binsfeld Ferreira1,2,3, Suse Botelho da Silva1,2
1Coldtag Tecnologia da Informação LTDA, São Leopoldo, Brazil.
Journal of food science
|February 17, 2026
概括
整合物联网 (IoT) 和人工智能 (AI) 增强了食品冷链管理. 这种协同作用可以实现实时监控和预测分析,提高食品安全和供应链弹性.
科学领域:
- 食品科学 食品科学 食品科学
- 供应链管理 供应链管理
- 计算机科学 计算机科学
背景情况:
- 传统的冷链监测是反应性的和分散的,对食品安全构成风险.
- 像物联网和人工智能这样的工业4.0技术为实时跟踪和预测分析提供了潜力.
- 现有的文献往往侧重于孤立的物联网或人工智能应用程序,缺乏综合的视角.
研究的目的:
- 审查和综合物联网和人工智能在食品冷链中的综合应用.
- 检查物联网支持的数据采集和人工智能驱动的预测分析的协同潜力.
- 为提高食品安全和冷链可持续性提供全面的资源.
主要方法:
- 按照PRISMA指南,对97篇同行评审论文 (2010-2025) 的系统审查.
- 对物联网传感器应用,人工智能算法及其在食品冷供应链中的集成进行分析.
- 确定趋势,局限性和未来的研究方向.
主要成果:
- 物联网和人工智能采用的快速增长是由监管和消费者对透明度和质量的需求所推动的.
- 物联网传感器促进实时监控,以早期检测安全风险.
- 人工智能模型处理传感器数据用于预测分析,优化物流和减少损坏.
结论:
- 集成的物联网和人工智能系统显著提高了食品安全和冷链效率.
- 需要对闭环系统进行进一步的研究,以实现对实时物联网数据的动态AI响应.
- 本次审查支持选择物联网和人工智能系统,以实现更具弹性,透明和可持续的冷链.
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