Research And Implementation Of The Mass Entrepreneurship And Innovation Work Service Platform Based On Microservice Architecture

In recent years,the CPC Central Committee and the State Council have been paying close attention to the development of "double innovation" work.As important participants,state-owned enterprises should also play a major role in innovation and entrepreneurship.According to the development ideas of the Group,the sixth Academy proposed to establish a management service platform guided by "mass entrepreneurship and innovation".Due to the poor flexibility,high coupling and difficult to maintain of the original service platform,and there are many business functions related to the mass entrepreneurship and innovation work that need to be managed online.Therefore,aiming to the business of mass entrepreneurship and innovation work,this paper designs and implements the mass entrepreneurship and innovation work service platform based on microservice architecture.The main work and contributions of this paper are as follows.1.Design of the mass entrepreneurship and innovation work service platform.This paper considers the service object and the business function,and gives the demand analysis to meet the platform.In addition,according to the demand analysis,the system structure,business service division of labor and database table are designed in brief.2.Implement of a dual-creative work service platform based on microservice architecture.The platform is designed by using the front-end separation mode.The front-end page design and logic implementation adopt Vue framework,and the backend is developed by using Spring Cloud microservice architecture.The back-end system is separated into basic module and business modules according to the function.The basic module functions are realized through the Spring Cloud component,and each business module function of the platform is realized by combining the Elasticsearch and TextCNN Model.3.Joint testing of the mass entrepreneurship and innovation work service platform.First,select a series of evaluation indices to evaluate TextCNN model,and compare the TF-IDF model and the LSTM model to prove the advantages of the TextCNN model in junk text classification.Secondly,design test cases for functional testing,performance testing and compatibility testing of the system.Finally,evaluate and analyze the test results.