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Research On 3D Printing Oriented Manufacturing Community Service Platform

Posted on:2022-11-02Degree:MasterType:Thesis
Country:ChinaCandidate:S B QianFull Text:PDF
GTID:2518306779493264Subject:Automation Technology
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3D printing industry is an important part of the manufacturing industry.It covers more and more fields,from medical equipment to military industry,and even in the field of food and nursing.The state has also gradually issued policies on the development of 3D printing since 2012,encouraging enterprises to innovate the 3D printing industry model,promote the application of 3D printing technology,and build 3D printing industry standards.With the rapid development of 3D printing,many small and micro enterprises have also joined the field.With the influx of many small and micro enterprises,some difficulties also follow:considering that the production mode of 3D printing is mainly personalized customization,at present,users have more and more product design styles and stricter requirements for product quality.Therefore,the production and manufacturing of enterprises can not be unchanging,but need to fully consider the personalized needs of users;At the same time,how to help small,medium-sized and micro enterprises build an efficient collaborative service model and ensure the security of enterprise collaborative data has become a core topic worthy of research.To solve the above problems,this thesis designs a 3D printing oriented manufacturing community service platform through blockchain technology.The main work of this thesis is as follows:(1)Service matching method based on multi-level mapping.According to the classification and characteristics of related businesses in 3D printing industry,3D printing tasks are decomposed hierarchically.The complex business process is divided into independent subtasks,and the execution process of subtasks is mapped into service nodes.At the same time,the service node description method based on XML is adopted,which can effectively describe the functions of service nodes and the composite relationship between service nodes.(2)Service selection and modeling based on Dynamic Qo S.Service combination and service node selection are the key to fulfill the personalized needs of users.Considering that the 3D printing industry is oriented to the user group with very high personalized needs,this thesis will evaluate the service nodes by using Qo S evaluation index combined with user preferences.Then the service nodes that satisfy the needs of users are selected to complete the user's request.This part includes the construction of service node dependency diagram,the dynamic setting of evaluation index weight combined with entropy method,and the modeling and simulation analysis of service workflow construction process using TCPN model.(3)Demand analysis and design of 3D printing oriented manufacturing community service platform.Aiming at the problems that small and micro enterprises in 3D printing industry need to solve in meeting the personalized needs of users,this thesis designs a community service platform.The core business process of the platform will help small and micro enterprises transform manufacturing resources into manufacturing services,and carry out service matching and service selection.At the same time,the module of the platform is split in combination with other functional requirements of the platform.Then the overall architecture of the platform is designed,and the technical composition of the architecture is described in detail.Finally,the process analysis and design of each functional module.(4)Platform implementation and deployment.According to the demand analysis and function design of the platform,this thesis adopts Java language and idea development tool to realize the basic functions of the platform.Then use hyperleger fabric to build the blockchain network.Finally,the construction of blockchain environment and the deployment of platform applications are completed.
Keywords/Search Tags:3D model printing, Blockchain, Service platform, Entropy method, Service Combination
PDF Full Text Request
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