The grey envelope model is used to predict dam monitoring data, thus, single numerical value prediction is changed to interval prediction.
利用包络灰预测模型对大坝监测量的极值进行预测，改变传统对极值的预测方法，使得单一的数值预测变为区间预测。
Reliability is the key of main dam safety monitoring automation system, it concerned whether providing valid data for dam safety.
可靠性是大坝安全监测自动化系统成败的关键，关系到能否为大坝安全提供有效的数据。
The TCA measurement robot is characterized by high accuracy, good efficient and reliance and nicety of acquired data in dam outer deformation monitoring.
TCA测量机器人对大坝外部变形监测，具有精度高、工效快、获取的数据准确可靠等优点。
This paper introduced the working principle, components, operation and monitoring data analysis of the static level automatic monitoring system at Niululing dam.
本文介绍了牛路岭大坝静力水准自动化监测系统的工作原理、组成、运行情况及监测资料分析。
Through analysis of formation cause and taking some actual observation data from a earth-rock dam, a seepage flow monitoring model was set up base on neural nets.
通过对土石坝渗流的成因分析，应用人工神经网络原理，并结合某土石坝的实测资料建立了渗流监控模型。
Therefore, we must analyze at fast these data errors and decide gross errors and insure the data reliability when we create the dam safety monitoring model by using survey data.
利用观测资料建立安全监测模型，必须首先对资料进行误差分析，确定粗差以保证资料的可靠性。
The case analysis of safety monitoring data of Geheyan Dam verifies that the above approaches are capable of identifying gross errors outstandingly.
隔河岩大坝安全监测数据的实例分析表明，这些方法具有较强的粗差识别能力。
Along the two monitoring lines holes were drilled on the dam and hole water pressure sensors were buried. Data were collected from these sensors in many ways through a computer system.
在尾矿库中沿两条监测线布置钻孔，并埋设孔隙水压力传感器，由计算机系统以多种方式从传感器上采集数据。
Certain error exists in the data collected from multisensor network that impacts the reliability of dam safety monitoring.
多传感器网络中采集的数据存在一定程度的误差，影响了大坝安全监测的可靠性。
The concept of distance is introduced to describe the comprehensive influence of environmental variables on affected variables in dam safety monitoring data analysis.
用距离的概念来描述大坝监测资料分析中环境量对效应量的整体影响效应。
The support vector machine based on statistical learning theory is applied to establish a time series model for simulating the monitoring data of dam seepage flow.
大坝渗流监测分析是大坝安全监控的重要内容，预测分析的难点之一在于渗流监测数据往往具有复杂的非线性特点。
The result shows that the system can satisfy the need of dam safety monitoring data analysis, and it is better to predict the dam safety states and trends.
结果表明，该系统能满足大坝安全监测资料分析的要求，并能很好地预测大坝的安全状态和趋 势。
The safety of the Maopingxi rockfill dam was checked by monitoring data in the stage of construction. The nonlinear visco-elasto FEM analysis on the dam was carried out.
利用施工期的现场监测资料，应用非线性粘弹性有限元仿真分析，对茅坪溪土石坝进行了安全复核。
The seepage predicted by this method based on the monitoring data for the dam in Geheyan Pr…
本模型应用于隔河岩水电站的坝基渗流量的预测，计算结果与实际监测值吻合良好。
The seepage predicted by this method based on the monitoring data for the dam in Geheyan Project is in good agreement with the observation data.
本模型应用于隔河岩水电站的坝基渗流量的预测，计算结果与实际监测值吻合良好。
With the data of three observation periods from the GPS deformation monitoring network of a dam, the clustering analysis is conducted on the relative stability of quasi-stable points of the network.
结合某大坝GPS变形监测网的3期观测数据，对GPS变形监测网拟稳点的相对稳定性进行了聚类分析。
With the data of three observation periods from the GPS deformation monitoring network of a dam, the clustering analysis is conducted on the relative stability of quasi-stable points of the network.
结合某大坝GPS变形监测网的3期观测数据，对GPS变形监测网拟稳点的相对稳定性进行了聚类分析。
应用推荐