期刊文献+

基于测量机器人的大坝变形监测精度分析研究

Research on Accuracy Analysis of Dam Deformation Monitoring Based on Measuring Robots
在线阅读 下载PDF
导出
摘要 为解决水库大坝GNSS自动化监测系统布设成本较高问题,利用测量机器人灵活性高、测点数量多等优势,构建大坝监测系统。结合大坝环境特征,对测量机器人测站点、观测路径、观测目标等精度影像因素进行分析研究,利用模拟场景分析和实验测试等方法研究不同因素的影响程度,结果表明:极坐标法解析模型数据精度略低于边角前方交会法,但布设成本较低;通过增加温度与大气压强改正模型,能够大大提升监测数据的准确性;且采用标准圆棱镜作为观测目标时,数据精度较高,监测结果较为可靠。对多种影响因素进行分析探讨,针对不同环境、不同需求给出了针对性解决方案,为基于测量机器人的水库大坝自动化监测系统优化升级提供了参考。 To solve the problem of high deployment cost of GNSS automatic monitoring system for reservoir dams,a dam monitoring system was constructed by utilizing the advantages of high flexibility and large number of measurement points of measurement robots.Combined with the characteristics of the dam environment,the accuracy affecting factors of measurement robot measurement stations,observation paths,observation targets,etc.were analyzed and studied.The influence degree of different factors was studied using simulation scene analysis and experimental testing methods.The results showed that the polar coordinate method had slightly lower data accuracy than the edge corner forward intersection method,but the deployment cost was lower;By adding temperature and atmospheric pressure correction models,the accuracy of monitoring data can be greatly improved;When using a standard circular prism as the observation target,the data accuracy is high and the monitoring results are reliable.By analyzing and exploring various influencing factors,targeted solutions have been proposed for different environments and needs,providing reference for optimizing and upgrading the automatic monitoring system of reservoir dams based on measurement robots.
作者 陈哲慜 楼国华 CHEN Zhemin;LOU Guohua(Yiwu Dadi Digital Surveying and Mapping Co.,Ltd.,Yiwu 322000,China)
出处 《测绘与空间地理信息》 2025年第10期205-207,共3页 Geomatics & Spatial Information Technology
关键词 水库大坝 测量机器人 自动化监测 极坐标法 边角前方交会法 reservoir dams measuring robots automated monitoring polar coordinate method edge and corner forward intersection method
  • 相关文献

参考文献8

二级参考文献59

共引文献57

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部