区域物流云服务平台关键技术研究

发布时间：2018-03-28 19:34

本文选题：物流信息平台　切入点：区域物流　出处：《郑州轻工业学院》2017年硕士论文

【摘要】：现代物流行业的发展离不开物流信息化及其相关IT技术,信息化技术起到了推动物流行业发展的关键作用。本文对云计算环境下区域物流云服务关键技术进行研究,分别从云计算环境下的区域物流云服务模式、区域物流资源虚拟化集成方法、基于云遗传算法的区域物流配送服务链优化这三个方面展开研究。首先,介绍区域物流的概念及基本特征,引出云计算环境下的区域物流云服务模式。对区域物流云服务模式需求、区域物流云服务主体性、区域物流云服务过程进行分析。其次,对云计算环境下的区域物流资源虚拟化集成方法进行研究。阐述云计算技术的概念,分析了区域物流资源集成的实施方法,设计虚拟机迁移优化方法,并研究区域物流资源虚拟化封装技术。然后,为降低区域物流成本、提升物流服务效率,提出了第四方物流服务模式下的第三方物流协同配送服务链,建立了以油耗、时间、配送优先级为目标的第三方物流协同配送服务链优化模型。为实现该模型的求解,提出了基于动态概率算子的改进遗传算法。改进算法分为多个阶段,并将传统确定性的遗传算子改进为概率性的动态选择算子,以提高对染色体较长种群的寻优能力并避免过早收敛。实验证明,该算法可有效提升第三方物流协同配送服务链优化模型的求解效率和质量。最后,搭建了基于云架构设计的农副产品区域物流信息服务集成平台原型系统。该平台由基础设施服务层、平台服务层、应用软件服务层、用户层、物流信息交换基础网络接口和运维保障体系等所构成,包括企业信息门户、客户服务系统、物流交易系统、物流配送系统、北斗定位监控系统和移动端系统。
[Abstract]:The development of modern logistics industry can not be separated from logistics informatization and its related IT technology, information technology has played a key role in promoting the development of logistics industry. This paper studies the cloud service model of regional logistics in cloud computing environment, the integration method of regional logistics resources virtualization, and the optimization of regional logistics distribution service chain based on cloud genetic algorithm. Firstly, This paper introduces the concept and basic characteristics of regional logistics, leads to the cloud service model of regional logistics under cloud computing environment, analyzes the demand of regional logistics cloud service model, the subjectivity of regional logistics cloud service, and the process of regional logistics cloud service. Secondly, it analyzes the process of regional logistics cloud service. This paper studies the integration method of regional logistics resource virtualization in cloud computing environment, expounds the concept of cloud computing technology, analyzes the implementation method of regional logistics resource integration, and designs the optimization method of virtual machine migration. Then, in order to reduce the cost of regional logistics and improve the efficiency of logistics service, the third party logistics collaborative distribution service chain under the fourth party logistics service mode is put forward, and the fuel consumption and time are established. In order to solve this model, an improved genetic algorithm based on dynamic probability operator is proposed. The improved algorithm is divided into several stages. The traditional deterministic genetic operator is improved to the probabilistic dynamic selection operator in order to improve the ability of searching for long chromosome populations and avoid premature convergence. This algorithm can effectively improve the efficiency and quality of solving the optimization model of third-party logistics collaborative distribution service chain. Finally, A prototype system of agricultural and sideline product regional logistics information service integration platform is built based on cloud architecture. The platform consists of infrastructure service layer, platform service layer, application software service layer, user layer, etc. The basic network interface of logistics information exchange and the operation and maintenance guarantee system are composed of enterprise information portal, customer service system, logistics transaction system, logistics distribution system, Beidou location monitoring system and mobile terminal system.
【学位授予单位】：郑州轻工业学院
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TP393.09

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