Abstract
Abstract. Nowadays, 3D navigation systems and intelligent services are costly to use, and the accuracy of intelligent navigation does not meet the needs of tourists, and the practicality is not strong. Based on the current situation of the construction of the smart scenic navigation system and the actual needs of tourists, this study determines the main principles and methods of the tour guide system and intelligent services. Taking a certain scenic spot as the specific research object, the A* algorithm is used to solve the path. By optimizing the online gracing service of the arc gis server network, the appropriate data interpolation method is used to improve the accuracy of the elevation data of the scenic spot, and the characteristics of the three-dimensional symbol system are combined. The 3D symbol design system is optimized, and a high-precision 3D navigation map model is established. Finally, the corresponding 3D tour guide system and scenic area intelligent service are designed based on this, and the principle and application flow of the intelligent scenic area navigation system construction are summarized. The three-dimensional map model and its navigation system designed by this research institute reduce the risk of tourists during the tour, improve the quality and efficiency of the tour, and provide a practical service optimization solution for the smart scenic three-dimensional navigation system. The construction and use cost of the high-precision three-dimensional navigation system in the scenic spot is reduced.
Highlights
Obstacle and hidden points are doped in the scenic area, so we find an algorithm that is computationally efficient and can take advantage of 3D path planning
For the scen ic spots with large fluctuations, the model established by t his precision is not practical and the reference value is no t high, and interpolation encryption is needed to meet the actual navigation requirements.The inverse distance weight (IDW) interpolation method, the global polynomial interpol ation method, the radial basis function (RBF) interpolation method, and the Kriging method are currently commonly used raster data interpolation methods
With the rapid development of the tourism industry, the number of tourists continues to rise, tourists are increasingly demanding the intelligent service quality and navigation system of the scenic spot, and the two-dimensional map can no longer meet the individual needs of tourists
Summary
With the rapid development of the economy, the advancement of science and technology, the improvement of people's quality of life, and the continuous improvement of the national vacation system, tourism has become the main choice for people on holidays. Because the map navigation symbols are general, the map lacks terrain elements, and the three-dimensional map navigation system of the scenic spot has low precision, low practicability, and unclear identification of safety hazard areas, which is not conducive to tourists choosing efficient and reasonable navigation routes when visiting scenic spots. It can't help the scenic area to properly digest too crowded people in the case of huge human traffic, and to alleviate problems such as blockages. Establishing a systematic, networked and intelligent three-dimensional map navigation system for scenic spots has become an increasingly urgent need
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