摘要
为了进一步提升水利工程大坝变形监测系统数据处理效率,构建相关大数据分析模型对坝体周边高清摄像头获得的倾斜摄影数据进行处理,形成数据记录机制和数据分析预警机制。通过仿真分析验证,与当前使用的基于离层仪和应力计的之前系统相比,对渗流沉降问题的监测精度提升42.75%,时序数据标差提升53.44%,预警范围缩小38.19%,中心点偏移量缩小31.19%,且预警触发时间周期显著缩短。分析结果表明,通过坝体变形数据进行坝体稳定性监测的大数据处理模型可以在大坝安全监测系统中有良好的适应性。
In order to further improve the data processing efficiency of dam deformation monitoring system of water conservancy project,build relevant big data analysis model,process the tilt photography data obtained by HD cameras around the dam,and form data recording mechanism and data analysis and early warning mechanism.Through simulation analysis and verification,compared with the previous system based on ionometer and stress meter,the monitoring accuracy of seepage settlement problem is improved by 42.75%,the standard deviation of time series data is improved by 53.44%,the early warning range is reduced by 38.19%,the center point offset is reduced by 31.19%,and the trigger time period of early warning is significantly shortened.It is proved that the big data processing model for dam stability monitoring through dam deformation data can have good adaptability in dam safety monitoring system.
作者
李利剑
LI Li-jian(Shandong Shuizong Co.Ltd.,Ji′nan 250000,China)
出处
《水利科技与经济》
2022年第3期148-152,158,共6页
Water Conservancy Science and Technology and Economy
关键词
BIM
水利工程
坝体变形
渗流沉降
大数据分析模型
BIM
hydraulic engineering
dam deformation
seepage settlement
big data analysis model
作者简介
李利剑(1985-),男,山东单县人,工程师,主要从事水利水电工程施工工作.
