| The hanging basket is currently one of the most widely used construction machinery equipment.As a necessary link before the basket is put into use,the gondola installation project directly affects the construction period,delivery quality and safety issues of subsequent construction.The rapid development of social economy has brought about refined division of labor,and the subcontracting model has brought great instability while alleviating the shortage of personnel and saving operating costs for basket companies.Therefore,it is an inevitable trend for the high-risk and high-cost hanging basket installation project to develop towards standardization and digitalization.Based on the actual needs of the enterprise,this topic has studied and realized a set of information management system for the installation of the hanging basket to meet the digital service needs of the core business process.First of all,the thesis conducted an in-depth investigation on the management status of the hanging basket installation project,analyzed and sorted out the problems that need to be solved with the help of information technology,including the chaotic management of accessories,the lack of strict qualification review,and the inadequate on-site supervision.The purpose and meaning of.On the basis of fully investigating the business process and personnel functions,it is clear that the functional requirements of the system include equipment management,work order management,installation management and user management.Based on this,the overall design plan of the system is proposed.Secondly,for the installation team recommendation problem,a recommendation algorithm based on team portrait and Wide&Deep is researched and proposed.The research content includes the following aspects: 1)Abstract the complex recruitment problem into a personalized recommendation problem,and establish a mathematical model;2)Fully understand the data that can be collected by the system,synthesize the static portrait based on the attributes of the players and the dynamic portrait based on the historical performance of time attenuation to construct the team portrait;3)After analyzing and comparing the ranking models,choose the Wide&Deep algorithm to build the regression prediction model;4)Through experiments,the model results are compared and analyzed with the other three models to verify the recommendation effect of the algorithm.Then,based on the microservice architecture,the design and development of the system server is completed.According to the microservice architecture and business capability model,the service is divided into six microservice modules,and the overall architecture scheme based on the Spring Cloud framework is proposed;each microservice module is designed and implemented based on Spring Boot;the file management service is built based on Fast DFS and Nginx;And use the Flask framework combined with the Sidecar component to integrate the installation team recommendation algorithm into the system’s recruitment recommendation service.Finally,based on the C/S architecture,a multi-role-oriented Android client software was designed and developed.Comprehensive application of development technologies such as Baidu Map,Zxing,Compress Image,etc.,realizes common functions such as picture management,code scanning,message push,etc.and is packaged as a public module,and based on this,provides equipment out of library,work order dispatching,attendance positioning,etc.for each role Business functions.The client software also implements Smart Image View combined with Motion Event’s multi-level display,dynamic loading layout,pull-down refresh animation and other functional details to obtain a good user experience.The system deployment and operation test show that the system can meet the requirements of the information management system of the hanging basket installation project in terms of function and performance,and has good usability and stability. |
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