| Due to the rapid development of our economy,the domestic automobile industry also presents a dynamic development trend,in addition to the traditional foreign and joint venture brands,but also emerged a lot of domestic brands.Cars have become a necessary means of transportation in every family’s daily life.The increase of car ownership year by year brings a huge car service market.With the increasing demand of user for vehicle repair and maintenance,the resource docking between maintenance enterprises and car owners is becoming more and more difficult.In order to promote the transformation and upgrading of automobile maintenance enterprises in order to provide consumers with more efficient and high-quality service,the construction of intelligent management platform for automobile maintenance enterprises has very important significance.In order to explore effective and feasible ways for the application of information technology in the field of automobile maintenance,this paper develops a set of automobile maintenance enterprise service system based on Spring Boot technology.The main work of this paper is as follows:(1)Firstly,on the basis of relevant research background and research status of domestic and foreign,the paper briefly introduces the relevantl theories and key technologies used in the process of realizing the system.And according to the division of system user roles,this paper analyzes system requirements from functional and non-functional aspects.Then the hierarchical design of logical architecture and technical architecture is completed.Logical architecture consists of presentation layer,control layer,business layer and data layer,corresponding to the presentation layer,business layer and infrastructure layer of technical architecture of.After that,the paper completes the division of functional modules and the design of database.(2)In this paper,the traffic flow of automobile maintenance enterprises is studied,and a traffic flow prediction model based on LSTM(Long short-term Memory)is introduced.By comparing the predicted value of the model with the real value,it is found that the predicted value of the traffic flow is close to the real value.In a certain period of time in the future,the predicted value of traffic flow is basically consistent with the change trend of the real value,so as to realize the traffic flow prediction of automobile maintenance enterprises and provide users with more efficient reservation services.(3)Finally,on the basis of the above related theories,the paper realizes the intelligent management system of automobile maintenance enterprises based on Spring Boot.According to the division of user roles in the requirement analysis stage,the application of We Chat side and Web side are provided.The development process of the system follows the basic idea of software engineering development,adopts the Spring Boot framework,and develops the front and back end separately.The system can basically meet the relevant functional requirements of different users. |