智慧旅游建设中的关键技术研究  

Research on Key Technologies of Smart Tourism Construction

作　　者：董淼[1] 王晓茹 孙荣荣[1] 蒋纬昌 DONG Miao;WANG Xiaoru;SUN Rongrong;JIANG Weichang(Department of Architectural Engineering,Henan Polytechnic Institute,Nanyang 473000,China;Nanyang Branch of China Mobile Communications Group Henan Co.,Ltd.,Nanyang 473000,China)

机构地区：[1]河南工业职业技术学院建筑工程学院,河南南阳473000 [2]中国移动通信集团河南有限公司南阳分公司,河南南阳473000

出　　处：《现代信息科技》2023年第16期116-120,124,共6页Modern Information Technology

基　　金：2022年度河南省重点研发与推广专项科技攻关项目(222102320115);2023年度河南省重点研发与推广专项科技攻关项目(232102321072)。

摘　　要：后疫情时代,文旅产业成为带动经济增长和刺激消费的重要引擎。随着5G、云计算、物联网、人工智能等技术的快速发展,游客对智慧旅游的需求空前高涨。人工智能技术和数字技术的应用是智慧旅游发展的必然趋势,有助于整合景区及其周边区域的旅游资源,提升游客体验和旅游业管理水平。文章首先对智慧旅游的研究进行梳理,其次探究了智慧旅游的关键技术,最后分析了机器学习在智慧旅游建设中的应用。In the post pandemic era,the cultural and tourism industry has become an important engine driving economic growth and stimulating consumption.With the rapid development of 5G,cloud computing,Internet of Things,artificial intelligence and other technologies,tourists have an unprecedented demand for smart tourism.The use of artificial intelligence technology and digital technology is the inevitable trend of smart tourism development,and is conducive to integrate tourist resources in scenic spots and their surrounding regions,and improve tourist experience and tourism management level.This paper first sort out the research of smart tourism,then studies the key technologies of smart tourism,and finally analyzes the application of machine learning in smart tourism construction.

关 键 词：智慧旅游 人工智能 机器学习 

分 类 号：TP39[自动化与计算机技术—计算机应用技术]