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Research and Application of a Smart Monitoring System to Monitor the Deformation of a Dam and a Slope

机译:智能监控系统监测大坝变形的研究与应用

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Deformation monitoring is one of the most important means of providing feedback to ensure the safety of projects. Problems plague the existing automatic monitoring system, such as the small monitoring range of monitoring devices, the inadequate field safety protection, and the low accuracy under extreme weather conditions. These problems greatly reduce the real time and reliability of deformation monitoring data and restrict the real-time intelligent control of engineering safety risk. In this paper, a multitype instrument-integrated monitoring system based mainly on the total positioning station (TPS) and supplemented by the Global Navigation Satellite System (GNSS) was promoted with the methods of large field angle, data complementation, environmental perception and judgment, automatic status control, and baseline calibration-meteorological fusion correction. The application results of Pubugou Station show that the averages of mean square error of points (APMSE) for the dam are 0.41~1.65?mm and the averages of mean square error of height (AHMSE) are 0.42~0.89?mm. Moreover, the APMSE and AHMSE for the slope are less than 3?mm. The maximum relative error of the TPS and GNSS data compared with the artificial monitoring data is less than 10%. Besides, the system has good overall performance and is of significant comprehensive benefits. The proposed system realizes the all-weather real-time monitoring of deformation and enhances the emergency response capability of special conditions in dams during the operation period.
机译:变形监测是提供反馈的最重要手段之一,以确保项目的安全性。问题扰乱了现有的自动监测系统,如小型监控设备的小型监控范围,现场安全保护不足,以及极端天气条件下的低精度。这些问题大大降低了变形监测数据的实时和可靠性,并限制了工程安全风险的实时智能控制。本文促进了主要基于总定位站(TPS)的多理仪器集成监控系统,并通过大场角度,数据互补,环境感知和判断的方法促进了全球导航卫星系统(GNSS)。自动状态控制,以及基线校准气象融合校正。 Pubugou站的应用结果表明,大坝点(APMSE)的平均面积误差的平均值为0.41〜1.65Ωmm,高度(Ahmse)的平均平均误差为0.42〜0.89Ωmm。此外,斜坡的APMSE和AHMSE小于3Ωmm。与人工监测数据相比的TPS和GNSS数据的最大相对误差小于10%。此外,该系统具有良好的整体性能,具有重要的综合效益。所提出的系统实现了变形的全天候实时监测,并在运营期间提高了水坝特殊条件的应急响应能力。

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