Information fusion diagnosis and early-warning method for monitoring the long-term service safety of high dams
Information fusion diagnosis and early-warning method for monitoring the long-term service safety of high dams
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DOI：
10.1631/jzus.a1200122
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发表时间：
2012-09
期刊：
影响因子：
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通讯作者：
Xingyuan Liu;Zhongru Wu;Yang Yang-Yang;Jiang Hu;Bo Xu
中科院分区：
文献类型：
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作者：
Xingyuan Liu;Zhongru Wu;Yang Yang-Yang;Jiang Hu;Bo Xu
分析高坝的使用性态，建立高坝的预警系统，对保证高坝的长期使用显得越来越重要。目前获取安全监测数据的分析方法仅适用于单测点数据。在处理大量监测数据时，不可避免地会得到不可靠甚至矛盾的结果，从而导致难以获得准确的结论。为此，提出了一种基于多源信息融合的高坝原型监测数据综合分析方法。此外，本文还提出了利用决策信息熵分析建立高坝长期服务的诊断预警系统。数据度量的减少是通过在数据级进行信息融合来实现的。然后在决策层进行贝叶斯信息融合，以获得综合诊断。将大坝多个部位的分析结果按重要性排序后，即可发布预警结果。实例分析表明，该方法能有效地处理多测点的大量监测数据。它同样可以获得精确的实时结果，并从高坝的多个位置输出综合预警结果。
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.