基于分時實名預約的文旅行業(yè)綜合管控研究

定　價：￥59.80

作　者：	中國旅游研究院（文化和旅游部數據中心）
出版社：	中國旅游出版社
叢編項：
標　簽：	暫缺

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ISBN：	9787503270284	出版時間：	2023-04-01	包裝：	平裝-膠訂
開本：	16開	頁數：		字數：

內容簡介

　　文化旅游數字化的發(fā)展和轉型進程中一直缺乏頂層的理論指導，本書從分時實名預約擴展到疫情防控、管控平臺，結合對防控預警機制的建模與研究，是理論和實踐在文旅數字化領域的良好結合。本書稿強化問題導向，走理論與實踐相結合的道路，數據準確，描述生動，促使加快文旅企業(yè)從被動的現場分流管理向主動的行前預約管理轉變，提高文旅企業(yè)應急響應處理能力和數據管理水平，對提升行業(yè)信息化發(fā)展水平有極高的參考價值。

作者簡介

　　1. 中國旅游研究院（文化和旅游部數據中心）以“促進中國文化和旅游融合發(fā)展和國際交流的政府智庫、業(yè)界智囊、理論高地”為建設宗旨，主要承擔旅游業(yè)政策和理論研究、文化和旅游融合發(fā)展研究以及文化、旅游的統(tǒng)計和數據分析職責，具有獨立事業(yè)單位法人資格?，F有10個內設機構，分別為行政與人事部、國際交流與財務部（宣傳推廣部）、科研管理部、戰(zhàn)略研究所、政策與科教研究所、產業(yè)研究所、規(guī)劃與休閑研究所、國際研究所（港澳臺研究所）、統(tǒng)計調查所、數據分析所。 2. 浙江智游寶信息科技有限公司，2014年06月10日成立，經營范圍包括一般經營項目：技術研發(fā)、技術服務、技術咨詢及技術成果轉讓：自動化控制設備，網絡工程及設備，計算機軟硬件，通信設備等。3. 浙江深大智能科技有限公司（前身為杭州深大電子信息工程有限公司）成立于1996年，是一家專業(yè)從事數字化景區(qū)與智慧景區(qū)系統(tǒng)整體研發(fā)推廣的高新技術企業(yè)，是國內早從事該行業(yè)的企業(yè)。

圖書目錄

目錄
章多業(yè)態(tài)下分時實名預約模式研究 ············································ 1
一、研究背景··········································································· 1
二、多業(yè)態(tài)分時實名預約模式研究 ··············································· 5
三、分時實名預約的綜合價值與改進方向 ·····································12
第二章基于 AI 人臉識別及紅外熱成像人體測溫技術的分時
入園系統(tǒng)研究 ···································································15
一、研究背景··········································································15
二、基于 AI 人臉識別及紅外熱成像人體測溫技術的分時
入園系統(tǒng)研究 ···································································17
三、應用價值及改進方向 ··························································27
第三章基于游客實名預約數據的疫情防控數據采集工具系統(tǒng)研究 ··········29
一、分時實名預約系統(tǒng)基礎功能 ·················································29
二、數據采集與支撐平臺搭建 ····················································30
第四章文化和旅游行業(yè)疫情防控預警模型及告警機制研究 ···················37
一、國內外研究現狀梳理 ··························································37
二、文化和旅游行業(yè)疫情防控預警模型構建 ··································40·
第五章基于 GIS 及 AR 技術的可視化疫情管控系統(tǒng)研發(fā) ······················52
一、GIS 可視化疫情管控系統(tǒng) ·····················································52
二、AR 可視化疫情管控系統(tǒng) ······················································74
第六章文化和旅游行業(yè)疫情防控 SaaS 云平臺構建 ·····························90
一、項目背景··········································································90
二、建設目標··········································································91
三、技術路線與設計思路 ··························································92
四、建設內容········································································ 103
五、疫情防控大數據分析平臺展示 ············································ 110
六、面向旅游景區(qū)的融合應用改進 ············································ 117
結語······················································································· 130