摘要
为了应对我国旅游群体不断增长带来的压力与挑战,大数据及相关电子信息技术的发展为景区经营与管理提供了新的机遇。在分析大数据相关背景的前提下,提出了大数据在旅游景区管理、旅游营销、旅游经营状况以及旅游口碑塑造方面应用的优越性,为景区实现高效的经营、管理、分析、预测与评价提供了技术支撑、数据支撑与智力支撑。结合大数据在旅游产业中的应用现状,一是提出了建立基于云计算技术的数据存储与管理系统,为旅游大数据的储存与管理提供了高性能服务;二是推进了物联网技术在旅游业中的应用,实现了旅游景区管理的智慧化;三是建立了旅游信息化中心服务平台,为数据的计算与处理、海量高数据的访问和查询提供了保障;四是建立了旅游数据安全保障防护体系,通过主动防御、物理隔离等技术手段为旅游数据安全提供了多层次、全方位的保障。
In order to cope with the pressure and challenges brought by the growing tourism groups, the development of big data and related electronic information technology provides new opportunities for the operation and management of scenic spots. On the premise of analyzing the relevant background of big data, this paper puts forward the advantages of big data in the management, marketing, operation and reputation building of tourist attractions, which provides technical support, data support and intellectual support for the efficient operation, management, analysis, prediction and evaluation of tourist attractions.Combined with the application status of big data in the tourism industry, firstly, this paper establishes a data storage and management system based on cloud computing technology, which provides high-performance services for the storage and management of tourism big data;secondly, it promotes the application of Internet of things technology in the tourism industry, which realizes the wisdom of the management of tourist attractions;thirdly, it establishes the tourism information center service platform, which provides guarantee for the calculation and processing of data, the access and query of massive high data;fourthly, it establishes the tourism data security protection system, which provides multi-level and all-round guarantee for the tourism data security through active defense, physical isolation and other technical means.
作者
张军爱
ZHANG Jun-ai(Xinjiang University of Finance and Economics Business College,Korla 841000 China)
出处
《科技创新与生产力》
2020年第2期30-36,共7页
Sci-tech Innovation and Productivity
基金
2019年新疆巴音郭楞蒙古自治州科学技术局星火计划项目(2019020)
2019年新疆巴音郭楞蒙古自治州区委政策研究室项目。
关键词
旅游产业
大数据
云计算
物联网
信息安全
tourism industry
big data
cloud computing
Internet of things
information security