本文阐述了我国水电站大坝安全监控系统模式、功能以及组建步骤。
This Paper has discussed the dam safety monitoring system model, function and organized procedure in China.
实践表明，变形预报值能很好地吻合了实测结果，表明该模型可以用于大坝安全监控。
The practice shows that deformation forecasting value can be in good agreement with measured results, and that the model can be applied in monitoring for dam safety.
利用上述理论和方法，开发和实现了小浪底大坝安全监控系统综合推理系统的部分功能。
With the application of the theories and methods mentioned above, partial functions of the comprehensive inference system of Xiaolangdi dam safety monitoring and controlling expert system is realized.
如何充分利用掌握的信息，客观准确地评价大坝的安全性态是大坝安全监控中亟待解决的问题。
How to make full use of the information and make objective and accurate assessment of the safety of the dam is one of several problems to be solved in the dam monitor.
然后针对大坝安全监控信息采集和处理的特点，简述了不确定性信息在大坝安全监控中的具体表现形式；
The specific forms of indefinite information are briefly discussed according to the characteristics of information acquisition and treatment in dam safety monitoring.
将粒子群算法引入大坝安全监控领域，并结合多元回归统计模型，建立基于粒子群算法的混凝土坝变形预报模型。
A concrete dam deformation forecasting model is established based on the particle swarm optimization (PSO) algorithm and the traditional multi-statistical regression model.
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 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 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.
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