《Journal of Zhejiang University》刊登“长期安全运行高坝的监测信息融合诊断和预警方法”

作者：Xin CAI，Yingli WU，Xingwen GUO ，Yu MING

刊物：《Journal of Zhejiang University》，2012年第9期，687-699页

关键词：大坝监测，诊断，预警，多源信息融合；信息熵

摘要： 在保证高坝长期安全运行中分析高坝的工作性能，并建立预警系统已经变得越来越重要。目前获得安全监测数据的分析方法只适用于单侧点数据，其在进行大量监测数据处理时，不可避免的会得到不可靠的或似是而非的结果，从而很难获得准确的结论。因此，基于多源信息融合发展了一种对高坝原型观测数据进行综合分析的新方法。另外，提出在高坝长期运行建立的一个诊断和预警系统中使用信息熵进行决策分析，利用数据平台上的信息融合获得减小的数据指标，然后进行贝叶斯信息融合以获得详细的诊断。根据大坝的重要性对大坝多部位排序分析后给出预警结果。最后通过一个案例研究说明新方法可以有效的从多观测点处理大量监测数据。从高坝的多方位同样可以获得实时的精确结果并输出综合的预警结果。

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

Authors： Xing LIU; Zhongru WU; Yang YANG; Jiang HU ;Bo XU

Journal：Journal of Zhejiang University ， 2012 No.02: 687-699

Key Word： Dam monitoring； Diagnosis； Early-warning； Multi-source information fusion； Information entropy；

Abstract：Analyzing the service behavior of high dams and establishing early-warning systems for them have become increasingly important in ensuring their long-term service. Current analysis methods used to obtain safety monitoring data are suited only to single survey point data. Unreliable or even paradoxical results are inevitably obtained when processing large amounts of monitoring data, thereby causing difficulty in acquiring precise conclusions. Therefore, we have developed a new method based on multi-source information fusion for conducting a comprehensive analysis of prototype monitoring data of high dams. In 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 dams. Data 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 diagnosis. Early-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 points. It can likewise obtain precise real-time results and export comprehensive early-warning outcomes from multi-positions of high dams.

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