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。

第一章 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