摘要
大坝健康状态综合诊断是一个充满不确定性的、多层次、多指标的复杂非线性问题,不仅要考虑不同监测效应量对大坝整体健康状态的综合反映,而且要考虑监测信息不确定性给大坝健康状态综合诊断带来的不利影响。概括了大坝健康状态综合诊断的基本研究思路,重点介绍了基于数据融合、信息熵和云模型等现代数学理论的大坝健康状态综合诊断技术,分析了大坝健康诊断研究的发展趋势,以期为大坝健康诊断的进一步研究提供借鉴和参考。研究表明:数据融合理论可为多源监测信息融合条件下的大坝健康状态综合诊断提供一条新途径,信息熵理论可为信息不足或混沌无序条件下的大坝健康状态综合诊断提供一种新手段,云模型可为综合考虑监测信息复合不确定性条件下的大坝健康状态综合诊断提供一种新方法。
The comprehensive diagnosis of dam health status is a complex nonlinear problem involving uncertainty, multi-level and multi-index information. Thus, not only the different effect variables that are related to the dam health status should be considered, but also the uncertainty in monitoring information of comprehensive diagnosis should be taken into account. In this review, some basic research ideas about the comprehensive diagnostic methods for dam health status are summarized. Comprehensive diagnostic technologies based on the modem mathematical theories such as the data fusion, information entropy and cloud mode/are introduced specifically. The development trend of dam health diag- nosis research is analyzed, which could be a useful reference for further studies in this area. It also shows that the data fusion theory could be a new approach for the comprehensive diagnosis of dam health status when fusion of multi - source monitoring information is provided. The information entropy theory could offer a new way for the comprehensive diagnosis of dam health status in case of deficient information or chaos condition. And the cloud model could be a new method for the comprehensive diagnosis of dam health status with uncertain monitoring information.
出处
《水电与新能源》
2016年第1期1-6,11,共7页
Hydropower and New Energy
基金
国家自然科学基金项目(51379162
51079114)资助
关键词
大坝
健康诊断
多源监测信息
数据融合
信息熵
云模型
dam
healthy diagnosis
multi-source monitoring information
data fusion
information entropy
cloudmodel
