Big Data Cognition for City Emergency Rescue

6th Digital Earth Summit

地球科学;计算机科学

Zhang, Xin^1 ; Chen, Yongxin^1 ; Wang, Weisheng^2

Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing

100101, China^1

Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, 818 South Beijing Road, Urumqi, Xinjiang

830011, China^2

关键词: Demographic data;    Emergency rescue;    Eyes in the skies;    Ground networks;    Model estimates;    Socio-economic data;    Spatial data analysis;    Unexpected incidents;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/46/1/012039/pdf
DOI  :  10.1088/1755-1315/46/1/012039

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

There are many kinds of data produced in the city daily life, which operates as an elementary component of the citizen life support system. The city unexpected incidents occurs in a seemingly unpredictable patterns. With the Big Data analysis the emergency rescue can be carried out efficiently. In this paper, the Big Data cognition for city emergency rescue is studied from four perspectives. From the data volume perspective, the spatial data analysis technology is divided into two parts, the indoor data and the outdoor data. From the data velocity perspective, the big data is collected from the eyes in the sky and objects on-the-ground networks, together with demographic data. From the data variety analysis perspective, the population distribution data, the socio-economic data and model estimates are included. From the data value mining perspective, the crime model estimates are studied. In the end, the application in the big public venues emergency rescue is introduced, which is located in Urumqi, Xinjiang, China.