Design And Implementation Of Intelligent Cloud Service Platform System

With the development of technology,"cloud" has become synonymous with the standardization of technology infrastructure in the industry.The flexibility brought by"cloud computing" is not only the conservation and maximization of resources,but also an important basis for supporting the rapid development of business.In the past few years,the company's R&D department has launched dozens of basic technology products,which are developed and maintained by different teams.However,in the process of increasing products and the complexity of the company's business,there is no problem with a platform for aggregating products.For users who use technology products,it is difficult for them to find the entry of each product and related user documents,and the interactive experience of each product is inconsistent,and the permission systems of different products are inconsistent.Therefore,it is necessary to develop an intelligent cloud service platform,integrate the company's common basic technology products,and solve problems such as high user use cost,repeated product construction,and inconvenient optimization of users and product providers.The paper designs and implements the intelligent cloud service platform system,and completes the system requirements analysis,architecture design,design and implementation of the main functional modules,and system functions.The system is divided into six subsystems:rights management system,intelligent solution system,data acquisition system,database management system,user feedback system and message center system.The system uses Java EE technology,RESTful design principles,MVC design pattern,and the background database uses MySQL.Among them,the algorithm uses convolutional neural network to analyze and mine data.The paper focuses on the design and implementation of each module of the intelligent solution subsystem.I independently completed the design and implementation of the rights management module,solution module,case data module,product information module,problem information module and user data module.The intelligent cloud service platform system developed by the thesis has been put into operation at present,the number of users using the intelligent cloud service platform is increasing,and the project products have begun to design access plans.Bring more convenient product use to company employees.The company's work efficiency will continue to strengthen.At the same time,the intelligent solution system that provides services for all users has reached the demand standard through continuous testing and maintenance.At present,the solution adoption rate of the solution has reached more than 90%.Through the continuous increase of data volume and the incremental learning ability of machine learning,The success rate of the solution will be higher and higher,and the convenience and experience brought to the user will get better and better.