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基于运营商数据的疫情流向感知分析 被引量:1

Outbreak Flow Perception Analysis Based on Carrier Data
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摘要 2020年初一场由新型冠状病毒引发的疫情席卷全中国。各大运营商积极响应国家工信部号召,将利用自身大数据优势,以手机信令为主,通过位置轨迹、用户漫游识别、交往圈、返乡用户识别等模型构建一个疫情流向分析辅助决策系统,辅助相关部门疫情决策的大数据分析应用,并实现特定人群通知警示类公益短信发送。帮助国家打赢这场战"疫"。 A novel coronavirus outbreak in early 2020 swept across major operators will actively respond to the call of the Ministry of industry and information technology of the people’s Republic of China,take advantage of its own big data advantages,mainly rely on mobile phone signaling,build an auxiliary decision-making system for epidemic flow analysis through location trajectory,user roaming identification,communication circle,home user identification and other models,assist the big data analysis and application of epidemic decision-making of relevant departments,and realize the sending of public short messages for specific crowd notification and warning.
作者 彭迪 张晓玮 刘玉 张明龙 Peng Di;Zhang Xiaowei;Liu Yu;Zhang Minglong(China Mobile Communication Corporation Guizhou Co.,Ltd.,;Business intelligence of Oriental Nations Corporation Ltd.,Guiyang 550001,China)
出处 《信息通信》 2020年第3期21-24,共4页 Information & Communications
关键词 大数据 通信运营商 数据服务 疫情监控 人流分析 Bigdata Communications operators Data services Outbreak surveillance Flow analysis
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