Research And Implementation Of Intelligent Guide Service System Based On Android Platform

With the rapid development of tourism and the continuous progress of science and technology,visitors' requirements about the function of scenic tour guide system have gradually increased.So how to meet the needs of real-time customize tour routes for tourists in scenic spots and attractions congestion avoidance have become the research focus of current tour guide system.The main contents of this paper are route planning and congestion early warning.Based on the portability of Android devices,the scenic area intelligent tour guide service system is designed and realized.The system makes it possible for the tourists to customize the tour route in real time and solve the congestion problem caused by uneven distribution of tourists.Therefore,the study of this paper has great practical significance.In this paper,based on the analysis of the current problems of scenic spot and the shortage of scenic tour guide system,the scenic area intelligent tour guide service system based on Android platform is designed and realized by the combination of Android technology,Java Web technology and WebService technology.The system mainly includes intelligent route planning and congestion early warning service.First of all,in the aspect of intelligent route planning service,this paper redefines the scenic route planning as the partly point traversal of connected graphs from the perspective of practical application and free customization routes.To solve this problem,the basic ant colony algorithm is improved,and the intelligent route planning algorithm is designed and implemented.By eliminating the taboo table restricts of ant colony algorithm,the improved algorithm changes the end rule of the ant travel and achieves the partly point traversal of connected graphs.At the same time,the efficiency of algorithm is improved by introducing the temporary weight matrix,which can avoid the smaller weight path is selected repeatedly.Secondly,in the aspect of congestion early warning service,this paper analyzes the reasons of the scenic spot congestion,and proposes a method to provide congestion early warning service for tourists in the scenic area.It can avoid congestion caused by uneven distribution of tourists.According to the large uncertainty of the number of tourists,BP neural network is chosen as the forecasting algorithm in this paper.Considering the network training speed and prediction accuracy,the three layer BP network with multiple inputs and single output is designed to forecast the number of tourists.The study of this paper has practical significance to improve the tourists' perception experience and scenic area service quality.At the same time,the proposed intelligent route planning algorithm can solve the problem of partly point traversal of connected graphs,and it has the same application value in other fields.