Design And Implementation Of Intelligent Guide System For Botanical Garden Based On SysML

The tourism industry has promoted the development of my country's economic and cultural exchanges.With the development of information technology,smart tourism is increasingly on the agenda.A good tourism experience depends on the construction and improvement of professional,intelligent,personalized and automated tourism infrastructure..Aiming at the above problems,this paper takes a botanical garden in a certain city as an example,establishes a botanical garden intelligent navigation system demand model,analyzes the personalized needs of tourists,and proposes a hybrid enhancement method based on the A~* algorithm and artificial potential field method,and establishes the botanical garden intelligent navigation system.Navigation system architecture,and finally realize the intelligent navigation system of the botanical garden based on the mobile terminal.The main work is divided into the following parts:1.Establish a model based on SysML to design the personalized needs of visitors to the botanical garden.Through the investigation and analysis of the existing system of the botanical garden,the demand analysis of the botanical garden system,combined with the user demand theory,conduct design survey,demand analysis,and data analysis of personalized navigation information driven by big data.Establish a personalized user demand model for the botanical garden.From personalized customer demand acquisition to intelligent navigation system modeling,then system data analysis,and finally model information optimization,a closed-loop user demand model that is continuously optimized and improved is formed.2.A hybrid enhancement method based on the A~* algorithm and the artificial potential field method is proposed to carry out the route finding and navigation algorithm in the botanical garden.Based on the botanical garden intelligent navigation system,a hybrid enhancement method based on the A~* algorithm and the artificial potential field method is proposed for the current situation where there is no professional tourist attraction navigation algorithm.This algorithm is aimed at the route guidance of tourist attractions,and solves the problem that some existing algorithms only lock the starting point and target point.In the actual planning process,the middle section of the planned route may be imperfect,or the current route cannot be planned.3.Design and develop the demand model for the intelligent navigation system of the botanical garden.Through the above-mentioned botanical garden intelligent navigation system demand analysis,tourist personalized demand analysis,and wayfinding algorithm demand analysis.Establish the entire botanical garden intelligent navigation system,and guide and improve the construction and realization of the botanical garden intelligent navigation system platform through the establishment of the botanical garden intelligent navigation system,which provides a further theoretical basis for the realization of the botanical garden navigation system.4.Realize the intelligent navigation system of the botanical garden based on the mobile terminal.The intelligent navigation system of the botanical garden established by SysML solves the cumbersome phenomenon of the various platforms of the previous botanical garden,effectively realizes the transmission of botanical garden data at each information level,and tests the prototype of the botanical garden intelligent navigation system to verify the functions and performance of each module.Extract and improve the personalized information of passengers to ensure the adaptability and reliability of key software modules.The intelligent navigation system for the botanical garden designed and established in this paper provides an executable solution for the design of smart tourist attractions,as well as a path planning method suitable for the intelligent navigation system.The developed system is designed to realize smart tourist attractions.Specialization,individualization,intelligence,integration,and automation provide theoretical and practical significance.