摘要
我国人口众多,人员跨区域流动性大、流动数量多,城市化加剧等,使得人群感染疾病概率及传播速度加快,亟需通过大数据技术进行人口流动情况监测,提高公共健康安全应急指挥效能。文章通过数据获取、指标构建、算法模型选择等课题,研究关键环节,逐步形成沟通深入、数据透明、分析严谨的创新优势,最终形成精度更高、更客观、更契合贵阳市当前疫情防控实际需要的项目成果。
China has a large population,large mobility of people across regions,large number of mobility,urbanization and so on,which makes the probability of infection and the speed of transmission of disease in the population speed up,so it is urgent to monitor the situation of population mobility through big data technology to improve the effectiveness of public health and safety emergency command.Through the topics of data acquisition,index construction,algorithm model selection and so on,the paper studies the key links and gradually forms the innovative advantages of deep communication,transparent data and rigorous analysis,and finally forms the project results with higher precision,more objective and more suitable for the actual needs of the current epidemic prevention and control in Guiyang city.
作者
戴顺勇
蔡欣
郭涛
Dai Shunyong;Cai Xin;Guo Tao(China Unicom Guizhou Branch,Guiyang 550001,China)
出处
《无线互联科技》
2020年第12期130-131,共2页
Wireless Internet Technology
关键词
手机信令
大数据技术
通信基站
人流监测
防控平台
mobile phone signaling
big data technology
communication base station
crowd monitoring
prevention and control platform