Analysis method of sensitive measurement points for dam health monitoring based on complex network
A complex network and health monitoring technology, applied in instrumentation, geometric CAD, computing, etc., can solve the problems of data sensitivity to noise, inability to effectively analyze structural properties, inability to identify sensitive measurement points, etc.
Active Publication Date: 2018-10-02
NANJING AUTOMATION INST OF WATER CONSERVANCY & HYDROLOGY MINIST OF WATER RESOURCES
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At present, many conventional analysis methods can only adapt to stationary time series or are sensitive to data noise, so they can neither identify sensitive measurement points nor effectively analyze structural behavior
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[0045] Below in conjunction with accompanying drawing of description, the present invention will be further described.
[0046] Such as figure 1 As shown, the present invention provides a method for analyzing sensitive measurement points of embankment health monitoring based on a complex network, comprising the following steps:
[0047] 1) Apply monitoring sensors according to the items set for dam health monitoring to obtain the measured value time series of the measuring points of the dam health monitoring item; among them, the dam health monitoring item includes environmental quantity, seepage field, temperature field and deformation field, etc. .
[0048] 2) Using the method of equal-probability coarse-graining, the time series of measured values is converted into a symbol sequence; wherein, the method of equal-probability coarse-graining specifically includes steps:
[0049] 2-1) Let x max and x min are the maximum value and minimum value of the time series of measu...
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The invention discloses a complex network based sensitive monitoring point analysis method for dam health monitoring. The method comprises the steps of obtaining a monitoring value time sequence reflecting a health condition of engineering through actual monitoring data corresponding to each monitoring item according to dam health monitoring items; converting the monitoring value time sequence into a symbol sequence with an equiprobable coarse-graining method; coding the symbol sequence in a topological structure of a complex network to construct the complex network; and analyzing feature parameters of the complex network to obtain sensitive monitoring points of the dam health monitoring items and a condition evolution law of a dam. The proposed novel method has the capabilities of effectively identifying important monitoring points and judging dam condition evolution, overcomes the sensitivity of a conventional analysis method to data errors, and can discover the importance of each monitoring point in a multi-scale manner, realize analysis on a correlation relationship between the monitoring points, master the health condition of dam engineering timely and accurately and realize more effective early warning of the dam condition.
Description
technical field [0001] The invention relates to a dam health monitoring and analysis method, in particular to a complex network-based analysis and determination method for dam health monitoring sensitive measuring points. Background technique [0002] Dam health monitoring is not only conducive to avoiding major dangers and disasters, but also accurately grasping the behavior and small changes of dams is also a prerequisite for feedback on design and construction quality and inspection of scientific research results. Timely and accurate grasp of the behavior of dams is the basis for ensuring the safe operation of dams. [0003] Dam health monitoring is the eyes and ears of the safe operation of rivers, lakes and reservoirs, but at present, most of the measured data analysis methods have relatively high data requirements, such as requiring data to meet the requirements of stability, normality and independent identical distribution, while the actual measured data All have non...
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IPC IPC(8): G06F17/50
CPCG06F30/13G06F2119/04
Inventor 方卫华周柏兵李政锴赵阳金有杰李晨希
Owner NANJING AUTOMATION INST OF WATER CONSERVANCY & HYDROLOGY MINIST OF WATER RESOURCES