基于云计算的医药冷链物流体系构建
发布时间:2018-09-12 14:28
【摘要】:为促进当前医药冷链物流体系的自动化及信息化,在对当前医药冷链物流体系进行分析的基础上,将物联网、云计算等新技术与医药冷链物流相结合,构建了基于云计算的智能医药冷链物流体系。结合受用对象多样化的物流服务需求,对智能医药冷链物流体系进行了模块化构建,并对其关键技术进行了研究,论证了基于云计算的智能医药冷链物流体系的可行性及有效性,可以促进对医药全程冷链的跟踪监测、分析预警及逆向追溯,为现代医药冷链物流的发展提供了一种新的运行模式。
[Abstract]:In order to promote the automation and informatization of the current pharmaceutical cold chain logistics system, based on the analysis of the current pharmaceutical cold chain logistics system, the new technologies such as Internet of things, cloud computing and pharmaceutical cold chain logistics are combined. The intelligent cold chain logistics system based on cloud computing is constructed. Combined with the diverse logistics service demand of the clients, the intelligent medicine cold chain logistics system was modular constructed, and its key technology was studied. The feasibility and effectiveness of the intelligent cold chain logistics system based on cloud computing are demonstrated, which can promote the tracking, monitoring, analysis and early warning and reverse tracing of the whole cold chain. It provides a new operation mode for the development of modern medicine cold chain logistics.
【作者单位】: 陕西科技大学机电工程学院;
【基金】:国家自然科学基金资助项目(11072192) 陕西省农业科技创新与攻关项目(2014K01-29-01) 陕西科技大学科研启动基金项目(BJ12-21) 陕西省教育厅专项科研计划项目(14JK1093)
【分类号】:F426.72;F253.9;TP3
[Abstract]:In order to promote the automation and informatization of the current pharmaceutical cold chain logistics system, based on the analysis of the current pharmaceutical cold chain logistics system, the new technologies such as Internet of things, cloud computing and pharmaceutical cold chain logistics are combined. The intelligent cold chain logistics system based on cloud computing is constructed. Combined with the diverse logistics service demand of the clients, the intelligent medicine cold chain logistics system was modular constructed, and its key technology was studied. The feasibility and effectiveness of the intelligent cold chain logistics system based on cloud computing are demonstrated, which can promote the tracking, monitoring, analysis and early warning and reverse tracing of the whole cold chain. It provides a new operation mode for the development of modern medicine cold chain logistics.
【作者单位】: 陕西科技大学机电工程学院;
【基金】:国家自然科学基金资助项目(11072192) 陕西省农业科技创新与攻关项目(2014K01-29-01) 陕西科技大学科研启动基金项目(BJ12-21) 陕西省教育厅专项科研计划项目(14JK1093)
【分类号】:F426.72;F253.9;TP3
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