摘要
文章以GIS边坡监测预警平台为例,利用大数据分析技术结合现今地灾防治地理信息技术进行监测效果分析,该技术方法弥补了现今流行的监测预警联动GIS系统数据分析的不足之处,从数据本身特性出发,将多源数据融合在一起,利用大数据分析方法,对整个观测数据进行综合分析。重点研究正常数据与异常数据在时间序列上的相关性,从另一个角度提取出数据中隐含的信息,其结果保证了监测结果的科学性,为灾害防治决策提供了科学可信的依据。
Taking the GIS slope monitoring and warning platform as an example,this paper analyzes the monitoring effect by using big data analysis technology combined with the current geographic information technology of disaster prevention and control.The technical method makes up for the deficiency of the data analysis of the GIS system,which is popular at present.Based on the characteristics of the data itself,the multi-source data is fused together,and the whole observation data is analyzed synthetically by using big data analysis method.The correlation between normal data and abnormal data in time series is studied,and the hidden information in data is extracted from another angle.The result ensures the branch of monitoring results.It provides a scientific and reliable basis for disaster prevention and control decision-making.
作者
蔡伶波
杨宁
CAI Ling-bo;YANG Ning(Sichuan Coal Field 141 Construction Investment Co.,Ltd.;Southwest University of Science and Technology)
出处
《智能建筑与智慧城市》
2018年第8期92-94,共3页
Intelligent Building & Smart City
关键词
大数据
地理信息科学
地质灾害防治
边坡监测
big data
geographic information Science
geological disaster prevention and control
slope monitoring