Research On Path Planning Of Intelligential Scenic Spot Based On RFID Mobile Positioning

With the increase of national income,the tourism industry is booming.Tourism has become a popular way of leisure and entertainment.In recent years,the smart tourism model has attracted wide attention.But how to make tourists have efficient,intelligent and customized services in travel has become the core driving force of tourism development.In order to provide efficient,accurate and customized tour routes for tourists,in the construction of smart scenic spots,this thesis first uses RFID technology to locate tourists and obtain the flow of people on each scenic spot and path,and then uses the improved ant colony algorithm to optimize the shortest time,according to the real-time situation of scenic spots and tourists’ personal preferences,to provide the best scenic spot tour route for tourists.The specific research contents of this thesis are as follows:(1)Using an improved LANDMARC positioning system locates tourists.This thesis proposes an improved LANDMARC positioning system according to the unique positioning requirements in the process of tourist mobile positioning in scenic spots.In the positioning system of the scenic spot,the scenic spot is divided into sub areas with reader as the unit by using the regional division positioning method to carry out the preliminary zoning positioning of tourists.At the same time,this thesis imitates the layout method of base station in cellular mobile communication system,applies it to the reader layout of LANDMARC positioning system,designs a hexagonal reader layout structure similar to cellular network,and places the reader in the hexagonal center.This structure reduces the number of readers in coverage,and cuts down the system cost.At the same time,the improved LANDMARC positioning system reduces the overlapping coverage of readers,reduces the signal interference between readers,and improves the positioning efficiency.(2)This thesis designs the weights of scenic spot crowding degree and path weight,combined with the tourist flow which obtaines by LANDMARC positioning system and tourist preference,improves the heuristic factors and pheromone update rules of traditional ant colony optimization,and designs a path planning algorithm with the shortest time as the optimization goal.Through simulation and comparative analysis,the improved ant colony optimization is more applicable in scenic spot path planning.(3)It is verified by an example.In order to better reflect the practical application value of the research content,we take Dalian Laohutan Ocean Park as an example,through the MATLAB software to simulate the path planning of scenic spots,based on the simulation data,draw the best scenic spot tour route,provide real-time,efficient and convenient services for tourists,and push forward the construction of smart scenic spots and the tourist industry growth.