A research on smart tourism-oriented big data real-time processing technology

With the enrichment of human social life, tourism is becoming more and more popular. The development of cloud computing, big data, internet of things technology makes smart tourism gradually evolve from the concept to a technology which can thoroughly change people's lives. Through smart tourism, a large number of rich and comprehensive real-time data can be available, including source of tourists, travel information, travel routes and other data which can achieve real-time monitoring of the scenic spots and precision marketing to customers, thus promote the development of tourism services and improve tourism. This paper will take smart tourism as the research object, and introduces large quantities of real-time data analysis and processing technology in smart tourism, and real-time processing data modeling methods. On this basis, scenic passenger flow monitoring model, scenic tourist analysis model and scenic passenger flow warning model will be established respectively. The technology presented in this paper has the characteristics of high real-time, high reliability, high accuracy of data processing, and has strong applicability, which be extended to other large data real-time processing scenarios.