随着我国高坝泄水建筑物所涉及的水流流速愈来愈大，高速水流问题的影响日益突出，据统计有近1/3的泄水建筑物出现不同程度的破坏，部分破坏相当严重，目前对于泄水建筑物运行期间的安全监控与健康诊断的系统研究相对较少。本项目以坝体泄水建筑为研究对象，采用理论分析、模型试验、数值模拟、原型观测相结合的研究方法，研究坝体泄水建筑物病害演化的不同可测信息的敏感特征量及其变化规律，揭示病害与不同可测信息前兆特征之间的关系；研究坝体泄水建筑物多源监测信息异常值与监测仪器故障辨识方法，综合利用来自不同类型监测的多源信息，采用信息融合技术，研究反映坝体泄水建筑物运行状态的多源监测信息的数据层、特征层和决策层融合方法，发展基于多源信息融合的坝体泄水建筑物运行性态监测与安全评判理论，建立运行性态监测与安全评判的多源信息融合模型，实现对病害演变的全面系统监测，从而为高坝泄水建筑物运行期的安全评价、防灾减灾对策奠定基础。

As the flow velocity of high-dam flood discharge structures is increasing in our country, more concern has been paid on the influences of high velocity flow. According to statistics, nearly one third of the flood discharge structures appears varies degrees of damage or serious damage, and the systematic research on operational safety monitoring and health diagnosis of flood discharge structure is relatively few. The project takes dam flood discharge structure as studying object, combines theoretical analysis, model tests, numerical simulation and prototype observation research methods, studies the sensitive characteristics of different measurable information and its variation during the dam flood discharge structure disease evolution period, reveals the relationship between the disease and the precursory characteristics of different measurable information, studies the identification method of abnormal value of the monitoring information and equipment failure, exploits multi-source information from different monitoring types, uses the information fusion technology, studies the data level, feature level and decision level fusion method, develops the operational behavior monitoring and safety evaluation theory of dam flood discharge structure based on multi-source information fusion, establishes the multi-source information fusion model of operational behavior monitoring and safety evaluation, achieves the comprehensive and systematic monitoring of disease evolution, and forms the foundation for safety evaluation, disaster prevention and reduction of high-dam flood discharge structure.