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

机译:智能旅游型大数据实时加工技术研究

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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.
机译:随着人类社会生活的丰富,旅游越来越受欢迎。云计算的发展,大数据,事物互联网技术使智能旅游从概念逐渐发展到一种能够彻底改变人们的生命。通过智能旅游,可以提供大量丰富和全面的实时数据,包括游客来源,旅游信息,旅行路线等数据,可以实现对客户的实时监控,从而实现景区和精确营销,从而实现促进旅游服务的发展,完善旅游业。本文将采取智能旅游作为研究对象,并在智能旅游中引入了大量的实时数据分析和加工技术,以及实时处理数据建模方法。在此基础上,将分别建立景区客流监测模型,景区旅游分析模型和景区客流预警模型。本文提出的该技术具有高实时,高可靠性,数据处理精度高的特点,具有很强的适用性,该方案扩展到其他大数据实时处理场景。

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