基于分时实名预约的文旅行业综合管控研究

作　者：	中国旅游研究院（文化和旅游部数据中心）
出版社：	中国旅游出版社
丛编项：
版权说明：	本书为出版图书，暂不支持在线阅读，请支持正版图书
标　签：	暂缺

ISBN	出版时间	包装	开本	页数	字数
未知	暂无	暂无	未知	0	暂无

作者简介

　　1. 中国旅游研究院（文化和旅游部数据中心）以“促进中国文化和旅游融合发展和国际交流的政府智库、业界智囊、理论高地”为建设宗旨，主要承担旅游业政策和理论研究、文化和旅游融合发展研究以及文化、旅游的统计和数据分析职责，具有独立事业单位法人资格。现有10个内设机构，分别为行政与人事部、国际交流与财务部（宣传推广部）、科研管理部、战略研究所、政策与科教研究所、产业研究所、规划与休闲研究所、国际研究所（港澳台研究所）、统计调查所、数据分析所。 2. 浙江智游宝信息科技有限公司，2014年06月10日成立，经营范围包括一般经营项目：技术研发、技术服务、技术咨询及技术成果转让：自动化控制设备，网络工程及设备，计算机软硬件，通信设备等。3. 浙江深大智能科技有限公司（前身为杭州深大电子信息工程有限公司）成立于1996年，是一家专业从事数字化景区与智慧景区系统整体研发推广的高新技术企业，是国内早从事该行业的企业。

内容简介

文化旅游数字化的发展和转型进程中一直缺乏顶层的理论指导，本书从分时实名预约扩展到疫情防控、管控平台，结合对防控预警机制的建模与研究，是理论和实践在文旅数字化领域的良好结合。本书稿强化问题导向，走理论与实践相结合的道路，数据准确，描述生动，促使加快文旅企业从被动的现场分流管理向主动的行前预约管理转变，提高文旅企业应急响应处理能力和数据管理水平，对提升行业信息化发展水平有极高的参考价值。

图书目录

章多业态下分时实名预约模式研究 ············································ 1

一、研究背景··········································································· 1

二、多业态分时实名预约模式研究 ··············································· 5

三、分时实名预约的综合价值与改进方向 ·····································12

第二章基于 AI 人脸识别及红外热成像人体测温技术的分时

入园系统研究 ···································································15

一、研究背景··········································································15

二、基于 AI 人脸识别及红外热成像人体测温技术的分时

入园系统研究 ···································································17

三、应用价值及改进方向 ··························································27

第三章基于游客实名预约数据的疫情防控数据采集工具系统研究 ··········29

一、分时实名预约系统基础功能 ·················································29

二、数据采集与支撑平台搭建 ····················································30

第四章文化和旅游行业疫情防控预警模型及告警机制研究 ···················37

一、国内外研究现状梳理 ··························································37

二、文化和旅游行业疫情防控预警模型构建 ··································40·

第五章基于 GIS 及 AR 技术的可视化疫情管控系统研发 ······················52

一、GIS 可视化疫情管控系统 ·····················································52

二、AR 可视化疫情管控系统 ······················································74

第六章文化和旅游行业疫情防控 SaaS 云平台构建 ·····························90

一、项目背景··········································································90

二、建设目标··········································································91

三、技术路线与设计思路 ··························································92

四、建设内容········································································ 103

五、疫情防控大数据分析平台展示 ············································ 110

六、面向旅游景区的融合应用改进 ············································ 117

结语······················································································· 130