摘要
地质灾害监测环境非常复杂,特别是在恶劣天气下,传统周期性变形监测的方法不能够实时获取地质灾害所处的状态。根据传统变形监测工作流程及相应的质量技术要求,结合变形监测规范的要求和实际生产习惯,研制了基于测量机器人集机载控制网观测、变形监测自动数据采集、数据处理、精度统计、手薄报表输出、数据平差、分析预测预报于一体的变形监测数据处理系统DMPS,并应用湖北省黄冈市白莲河抽水蓄能电站的边坡监测。
The environment of geological hazard monitoring is very complex,especially in inclement weather,the traditional method of periodic deformation monitoring can not be real-time access to geological disasters in which state.According to the workflow of the traditional deformation monitoring and the technical requirements of the corresponding quality,this paper had developed geological hazard deformation monitoring processing system.It consisted of seven moduls such as the network observation of georobot,automatical data collection,automatical data processing,the statistics of precision,the output of recording handbook,data adjustment,data analysis and prediction of trend.It had applied the slope monitoring in the Bailianhe hydropower station of Hubei province.
出处
《地理空间信息》
2010年第4期66-68,共3页
Geospatial Information
基金
中国科学院知识创新工程资助项目(IAP09314)
关键词
地质灾害
测量机器人
变形监测
数据处理系统
geological hazard
georobot
deformation monitoring
data processing system
