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作 者:李利剑 LI Li-jian(Shandong Shuizong Co.Ltd.,Ji′nan 250000,China)
机构地区:[1]山东水总有限公司,济南250000
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
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.
关 键 词:BIM 水利工程 坝体变形 渗流沉降 大数据分析模型
分 类 号:TV698.1[水利工程—水利水电工程]
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