The Design And Implementation Of Intelligent Logistics Distribution In Urban-Rural Integration System

With the development of service economy,especially the rapid development of Internet economy and trade,logistics distribution plays a more significant role in the development of national economy and enterprises,and simultaneously greatly promotes the evolution of logistics industry.However,the current development of service economy is not only the flow of goods,but also the flow of service providers or the flow of service users.The service in the logistics process has direct relationship with whether the goods can be delivered in time and the cost of logistics distribution,which need to be reasonably allotted in the logistics distribution system.The traditional logistics distribution system has a single function in application,which is mainly based on the delivery function and lacks the function of supervising the distribution efficiency.In addition,in some backward areas restricted by geographical position,economic conditions and other factors,there are problems such as low levels of informatization,low distribution efficiency,high delivery costs caused by long time searching for the optimal path in the course of logistics distribution,and error and other problems are easy to occur when searching for the optimal solution.Therefore,it is necessary to design a set of efficient,intelligent and highly available logistics distribution system to enhance the efficiency and quality of distribution.Revolving around the theme of logistics distribution,this paper presents the design and implementation of intelligent logistics distribution system of the urban and rural integration,aiming at improving the efficiency of distribution between the urban and the rural,delves into ant colony algorithm and optimizes the parameter selection of ant colony algorithm,used for selecting an optimal path in logistics distribution process,to solve the problem of the logistics distribution efficiency in rural regions.This paper focuses on the following aspects of research work during the design of the system:(1)Field research was conducted and the business functions of the system were summarized according to user needs.Different web service interfaces were implemented on the basis of different business logics.The following six business logics were mainly realized:Registration and login business,task management business,personnel management business,order query business,distribution site management business and distribution routing query business.For the server and client,HTTPS protocol with added SSL security mechanism is adopted for data interaction,which improves the security of the system;For the system,the optical disc ferry machine and other types of safety equipment are used to realize the data exchange function,which is used to ensure the secure transmission of data between different security classified networks,making the data transmission more safe and reliable.(2)The overall framework of the system is designed according to the functional requirements of the system.The overall framework structure of the system enables services to communicate with each other through simple and precise definition interfaces.A coarse-grained,loosely coupled Service Oriented Architecture is used without involving the underlying programming interface and communication model.The server side of the system is implemented by the current mainstream JavaEE enterprise-level framework SSM(Spring,SpringMVC and Mybatis),which improves the development efficiency of the system and satisfies the changeability and expansibility in system functional requirements.(3)In order to solve the problem that the system can choose the optimal distribution path more intelligently,the ant colony algorithm is studied intensively.lt optimizes the parameters of the ant colony algorithm,guides its initialization parameters to choose the place with high adaptive value,introducing the idea of mutation to overcome the limitations of traditional algorithms and conducts experimental simulation on how to seek the optimal route for the optimized ant colony algorithm.By applying the post-optimized ant colony algorithm to the logistics distribution system,the distribution path module of this system is realized,so that the system functions are more perfect and the optimal distribution path can be selected more intelligently.Finally,an experiment is carried out on the search of optimal path realized in this system.Through field investigation on the surrounding villages and towns of Feixi County,the actual distance between distribution sites among each township is taken into overall consideration,and the collected information is selected as some key values in the ant colony algorithm in this system,verifying its scientificity and feasibility.(4)Finally,the client part of the system is designed and implemented,focusing on on the design process and implementation process of each functional module of the system,The design process of the client is shown by running sequence diagram and flow chart of the system,and the specific development process of each functional module interface is shown by class diagram design.At the end of each section of the client implementation,the functional interface diagrams of each module are intercepted from the field feedback when the system is in practical use.Above all,this paper designs and achieves the urban-rural integrated intelligent logistics distribution system,which has complete functions and can effectively solve the problems of low efficiency and resource wasting of traditional logistics distribution system in less developed areas.As the rapid expansion of rural modernization,this system has a wide market prospect and makes some contribution to the development of rural logistics.