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A noise reduction method for hydraulic structure safety automatic monitoring system

A technology for hydraulic structures and safety automation, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as modal aliasing, and achieve the effect of overcoming modal aliasing

Active Publication Date: 2016-12-14
HOHAI UNIV
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  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

The empirical mode decomposition method does not need to select the basis function in advance like the wavelet analysis, it is adaptive and suitable for the processing of non-stationary signals, but the mode mixing problem will occur in the decomposition process of the signal with intermittent components

Method used

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  • A noise reduction method for hydraulic structure safety automatic monitoring system
  • A noise reduction method for hydraulic structure safety automatic monitoring system
  • A noise reduction method for hydraulic structure safety automatic monitoring system

Examples

Experimental program
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Embodiment 1

[0035] Embodiment 1: The noise reduction method of the hydraulic structure safety automatic monitoring system of the present invention, the schematic diagram of its realization process is as follows figure 1 As shown, proceed as follows:

[0036] (1) Obtain the original monitoring sequence of building safety. A roller compacted concrete gravity dam is equipped with positive and negative vertical lines to monitor the horizontal radial and tangential displacement of the dam crest and the interior of the dam body. The vertical line monitoring started in December 2001, and was connected to the automation system in October 2002. The horizontal displacement along the river direction of the dam 5# dam section from January 1, 2003 to December 30, 2007 was actually measured. The value is the original monitoring sequence, and the time interval of the monitoring sequence is 1 day, which provides a sufficient data source for monitoring data analysis, see the attached Figure 4 . Howev...

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Abstract

The invention discloses a method for reducing noise for an automatic safety monitoring system of a hydraulic structure. The method includes steps of (1), acquiring original monitoring data sequences of the hydraulic structure; (2), determining additional noise amplitude values and additional times; (3), determining sieving stop criteria; (4), determining decomposition termination conditions; (5), processing end effects; (6), performing EEMD (ensemble empirical mode decomposition) on the monitoring data sequences; (7), determining IMF (intrinsic mode function) components to be subjected to noise reduction processing; (8), reducing noise of threshold values; (9), reconstructing signals; (10), reducing noise of data. The method has the advantages that most low-amplitude fluctuation of the original monitoring data sequences processed by the method is removed, service characteristic laws of the hydraulic structure can be obviously embodied, and the data analysis precision for follow-up data fitting, forecasting and the like can be obviously improved.

Description

technical field [0001] The invention relates to a noise reduction method for prototype monitoring data in the field of safety monitoring of hydraulic structures. Background technique [0002] By deploying automatic monitoring systems on hydraulic structures such as dams, dikes, and sluices, obtaining prototype monitoring data of the main structure, foundation, and surrounding environment, and comprehensively applying mathematics, mechanics, artificial intelligence, and dam engineering theories and methods, the dam Analyzing, diagnosing, and evaluating the working performance of hydraulic structures such as dykes, dikes, and sluices is an important means to ensure the safety of water conservancy and hydropower projects. However, for hydraulic structure safety monitoring data, it will be affected by the surrounding environment, human operations and Influenced by other uncertain factors, it often contains a certain degree of noise. The existence of noise affects the manifestati...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F19/00
Inventor 苏怀智陈浙新杨孟李星
Owner HOHAI UNIV
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