Information fusion diagnosis and early-warning method for monitoring the long-term service safety of high dams

作     者：Xing LIU Zhong-ru WU Yang YANG Jiang HU Bo XU 

作者机构：State Key Laboratory of Hydrology-Water'Resources and Hydraulic EngineeringHohai UniversityNanjing 210098China National Engineering Research Center of Water Resources Efficient Utilization and Engineering SafetyHohai UniversityNanjing 210098China College of Water-Conservancy and HydropowerHohai UniversityNanjing 210098China 

出 版 物：《Journal of Zhejiang University-Science A(Applied Physics & Engineering)》 (浙江大学学报（英文版）A辑（应用物理与工程）)

年 卷 期：2012年第13卷第9期

页      面：687-699页

核心收录：

学科分类：08[工学] 0815[工学-水利工程] 081503[工学-水工结构工程] 

基　　金：Project supported by the National Natural Science Foundation of China (Nos. 51139001 51179066 51079046 and 50909041) 

主　　题：Dam monitoring Diagnosis Early-warning Multi-source information fusion Information entropy 

摘      要：Analyzing the service behavior of high dams and establishing early-warning systems for them have become increasingly important in ensuring their long-term *** analysis methods used to obtain safety monitoring data are suited only to single survey point *** or even paradoxical results are inevitably obtained when processing large amounts of monitoring data,thereby causing difficulty in acquiring precise ***,we have developed a new method based on multi-source information fusion for conducting a comprehensive analysis of prototype monitoring data of high *** addition,we propose the use of decision information entropy analysis for building a diagnosis and early-warning system for the long-term service of high *** metrics reduction is achieved using information fusion at the data level.A Bayesian information fusion is then conducted at the decision level to obtain a comprehensive ***-warning outcomes can be released after sorting analysis results from multi-positions in the dam according to importance.A case study indicates that the new method can effectively handle large amounts of monitoring data from numerous survey *** can likewise obtain precise real-time results and export comprehensive early-warning outcomes from multi-positions of high dams.