Design And Implementation Of Scenic Smart Tourism System Based On Mobile Internet

With the rapid development of social economy,the demand for spiritual culture has become more and more intense,and the development of the whole tourism industry has become better and better,the development of tourism has also shifted from the traditional mode to the new intelligent tourism mode.However,the wisdom tourism industry is confronting with some problems while developing vigorously.On the one hand,for tourist attractions,they often face a series of problems,such as difficult information acquisition,personnel management,department coordination,service evaluation,marketing decision-making and environmental protection.On the other hand,for the tourists of scenic spots,it is necessary to solve the problems that may exist in the whole journey,during and after the tour,such as untimely news,insufficient information,unsatisfactory experience,inadequate service,opaque complaints and unsafe security.In this context,through the use of new information technology,to solve the problems faced by the scenic spots,so that the construction of Intelligent Tourism in the scenic spots can truly achieve intelligent management,intelligent marketing and intelligent services,to further meet the needs of tourists in the scenic spots,so that the entire journey of tourists in the scenic spots become more intelligent,humanized,characteristic and refined.Firstly,this paper introduces the related research of Intelligent Tourism,and then combines the application of mobile Internet technology in the development of Intelligent Tourism to analyze the needs of scenic administrators and tourists.According to the user requirements,the functional and non-functional requirements of the system are determined.Then,this paper designs the intelligent tourism system from the overall structure of the system to the functional modules of the system,and completes the database design with the help of the database E-R diagram.At the same time,through the establishment of scenic spot passenger flow prediction model,this paper uses the mathematical method of weighted regression to analyze the scenic spot passenger flow at different stages,and gives the forecast results of scenic spot passenger flow in the next seven days.In addition,based on an ant colony algorithm,this paper establishes a travel planning and recommendation model.According to the predicted travel time and funds of tourists in the scenic area,it recommends a tour route that meets tourist's demands and provides reliable guide for them in the scenic area.Finally,based on Android development platform,this paper develops the Intelligent Tourism System of scenic spots and realizes the relevant functional modules of the scenic spots and tourists of the Intelligent Tourism system,and then tests and verifies the functions,performance and compatibility of the Intelligent Tourism system.The results show that the intelligent tourism system basically achieves the expected goals and can be run steadily.