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Research And Design Of Agricultural Product WMS Based On Ad Hoc Network And RFID Technology

Posted on:2022-09-08Degree:MasterType:Thesis
Country:ChinaCandidate:C M ZhuFull Text:PDF
GTID:2518306728974019Subject:Master of Engineering
Abstract/Summary:PDF Full Text Request
The high rate of development of logistics knowledge in China continues to improve and help,but there are still shortcomings in the technical application of logistics information,as well as the integration of logistics information resources for some small and medium-sized enterprises,including logistics projects.Warehouse management is important for the functioning of the entire logistics process,warehouse management and the entire supply chain are important for the flow of the entire logistics process.However,as a result of the analysis,it was found that the storage process does not find a way.The control system,artificial or semi-automatic control is more in the country,it is an external warehouse and it is difficult to control the distribution of baggage changes,difficult problems such as library staff,forklifts and baggage status.The logistics management center has studied and analyzed the new network technology to increase warehouse efficiency,reduce logistics costs and improve warehouse management functions.The warehouse information management system is based on Ad Hoc network and RFID technology.Designed and engineeredFirst,the document analyzes the detailed requirements of the Warehouse Information Management System and designs the entire system architecture using the Ed Hawk threelevel network architecture mode according to the system requirements.An RFID data acquisition system is planned to solve the problem of controlling the exchange of goods inside and outside the warehouse.In the scheme,RFID tags are placed in trays inside and outside the warehouse,information about the labels on the trays in the warehouse is collected together with the RFID reader,and the management method is improved and the administrative burdens are reduced.At the same time,the function of the system is divided into several parts:system management,inventory management,warehouse management and internal conditions,The function sequence diagram of the main function module and the concept and logic of the database are designed.Then the positioning accuracy of the positioning process and the conventional indoor positioning algorithm are analyzed.Based on the artificial neural network model,a location algorithm is proposed for the traditional artificial neural network model,which is optimized by the MEA-GRNN thinking algorithm and reduces the complexity of the location adaptation.At the same time,the MEA-GRNN algorithm model,the GA-GRNN algorithm model and the traditional artificial neural network model were tested before and after the GRNN optimization and the data compared and analyzed.The optimized algorithm proved to be very accurate and was applied to the internal positioning module of the system to solve the problem of positioning the object in the warehouse.Finally,the Java EE SSM(spring+springmvc+mybatis),which is based on traditional warehouse management information systems and uses RFID technology as the focus of product identification and information capture,implements storage information management systems for the Sperm Vision framework,which is based on the Ad Hoc network.And when a farm is operated in a warehouse to open a warehouse in Heilongjiang,the goods information and location information system can be accurate and efficient,reducing the error in controlling product change and difficult problem situations.At the same time,the repetitive work in warehouse management is effectively reduced,work efficiency is improved,costs are saved and,finally,the information management of the entire operating process of the warehouse information management system such as automatic identification,access,positioning and distribution of goods is realized.
Keywords/Search Tags:Storage Information Management, Ad Hoc network, RFID technology, Indoor location, MEA-GRNN Algorithm
PDF Full Text Request
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