摘要
随着地质灾害信息化管理的快速发展以及云技术、物联网、移动互联网技术的广泛应用,极大地推动了地质灾害无线自动化监测技术的进步,随着这一技术的成熟,地质灾害监测数据量突飞猛涨、数据类型也越来越复杂。本文结合具体科研项目,在总结地质灾害无线自动化监测流程和监测数据特征的基础之上,针对地质灾害海量监测数据对存储、检索方面的新要求,在硬件、软件方面进行了相应的优化工作,并开发了地质灾害监测数据自动入库系统,解决了多源监测数据集成的难题,同时基于数据挖掘技术,构建了地质灾害监测数据调试系统,充分挖掘大数据的隐藏价值,最终开发了地质灾害监测数据展示平台。
With the development of the information management system of geo-hazard and the widespread use of cloud technology,internet of things,mobile internet technology,the wireless automation monitoring technology of geo-hazard has been greatly promoted.With the maturity of this technology and the soaring amount of monitoring data,the types of monitoring data is becoming more and more complex.Focusing on the specific research projects and based on the summarization of the processes of wireless automation monitoring and the characteristics of monitoring data,this paper optimizes in the hardware and software aspects,develops the automatic process system of monitoring data to solves the problem of integration of multi-source monitoring data,establishes the debugging system of monitoring data based on data mining technology to fully dig the hidden value of big data,and developes a platform for the comprehensive analysis and display of monitoring data,in order to meet the new demand in the storage and retrieval of massive monitoring data.
出处
《安全与环境工程》
CAS
北大核心
2014年第5期115-120,共6页
Safety and Environmental Engineering
基金
国家自然科学基金项目(41302242)
关键词
地质灾害
监测数据
大数据
云技术
物联网
数据挖掘
geo-hazard
monitoring data
big data
cloud technology
internet of things
data mining
作者简介
何朝阳（1987-），男，硕士，助教，主要从事地质灾害评价、监测预警及其程序研发等方面的工作。E—mail：hpdtz@qq．com
