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作 者:张嘉愉 ZHANG Jiayu(Shanxi Management Vocational College,Linfen 041000,China)
出 处:《物流科技》2024年第12期158-160,共3页Logistics Sci-Tech
摘 要:当前我国农产品冷链物流技术比较落后,难以对农产品质量进行实时监控,冷链物流管理信息系统发展滞后。在大数据时代,农产品冷链物流管理具有数据存储与分析、系统拓展和稳定性、高效安全及可视化三个方面的需求。因此,根据大数据时代农产品冷链物流的功能需求,文章提出并设计了一种具有大数据存储及分析模块、库存及物流管理模块、数据管理模块以及市场供求分析模块的农产品冷链物流系统。这一系统可以提供农产品冷链物流数据的存储、调用、分析及预测功能,也可对农产品市场供求信息进行分析和预测,从而实现高效的农产品冷链物流管理。Currently,the cold chain logistics technology of agricultural products in China is relatively backward,and the quality of agricultural products is difficult to monitor in real time.The development of cold chain logistics management information systems is lagging behind.In the era of big data,the cold chain logistics management of agricultural products has three aspects of requirement:data storage and data analysis,system expansion and stability,efficiency,safety,and visualization.Therefore,based on the functional requirements of agricultural product cold chain logistics in the era of big data,this article proposes and designs an agricultural product cold chain logistics system with big data storage and analysis module,warehousing and logistics management module,information management module and market supply and demand analysis module.This system can provide storage,retrieval,analysis,and prediction of agricultural product cold chain logistics data,as well as analysis and prediction of supply and demand information in the agricultural product market,thus achieving efficient management of agricultural product cold chain logistics.
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