Design of rural tourism management cloud platform based on intelligent audio processing and sensor navigation positioning

Abstract

People's living standards are constantly improving, and many people are eager to travel, especially to rural areas, which has become a tourism trend, which has also driven the local economy. Each place is actively utilizing the advantages of its own region to establish a unique tourism economic industry chain and seek the interests of local villagers. Based on this, this article takes the specific development of contemporary rural tourism industry as the basic research object, and develops a specialized rural tourism management cloud service system platform. The system mainly relies on intelligent audio processing and related navigation and positioning functions. By finely processing the collected intelligent audio signals, utilizing specialized data conversion tools to improve the accuracy of the collected signals, and using a linear aliasing model to handle subsequent problems. We also propose a carrier based system coordinate for navigation and positioning algorithms, which can estimate the optimal information value among them. In addition, this article also conducted a specific analysis of the performance of two models, namely the single step model and the Seq2Seq model. The tourism management cloud service system platform for rural areas based on intelligent audio related processing and precise navigation positioning proposed in this article can effectively promote the development of local rural tourism and improve the quality of life of villagers.

Keywords

• Audio processing
• Navigation and positioning
• Tourism management
• Cloud service platform