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Bridge health monitoring method and system for signal adaptive decomposition and recognition

A technology for bridge health monitoring and self-adaptation, which is applied in pattern recognition in signals, character and pattern recognition, data processing applications, etc. It can solve the problem of low accuracy of damage detection, achieve accurate monitoring of bridge health status, and improve effectiveness and accuracy, the effect of improving accuracy

Active Publication Date: 2022-01-14
CHINA RAILWAY ERYUAN ENG GRP CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] The purpose of the present invention is to overcome the deficiency in the prior art that the damage detection accuracy of the above-mentioned bridge structure is not high, and to provide a bridge health monitoring method and system for signal adaptive decomposition and identification, which can respond to the trend in the signal Item and burr removal can eliminate abnormal factors in the response signal, decompose and recombine the response signal, improve the accuracy of monitoring the health status of the existing simply supported beam structure, and achieve the purpose of accurately monitoring the health status of the bridge

Method used

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  • Bridge health monitoring method and system for signal adaptive decomposition and recognition
  • Bridge health monitoring method and system for signal adaptive decomposition and recognition
  • Bridge health monitoring method and system for signal adaptive decomposition and recognition

Examples

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Embodiment 1

[0067] Please refer to figure 1 and figure 2 In this embodiment, the present embodiment provides a signal adaptive decomposition and recognition bridge health monitoring method, which is detected on the bridge structure. The whole bridge structure has a total length of 1.3km. There is a total of 44 acrogadical reinforced concrete simple beams, including 7 cross 25M beams. 30 across 30M beam and 7 cross 35M beams, each across the simple beam consists of 4 T beams, by increasing the lateral connection between 4 T beams between the top plate pouring 25cm thick reinforced concrete slab 4, and improve the overall structure of the structure. sex. The entire bridge includes a pier 1, a cover beam 2, a contact mesh 3, a reinforced concrete plate 4, and a prestressed reinforced concrete T beam 5 and an acceleration sensor 6, and the cover beam 2 is disposed at the top of the bridge, contact mesh 3 and prestressed steel bars. The concrete T beam 5 is provided on the top of the cover beam 2,...

Embodiment 2

[0148] This embodiment provides a signal adaptive decomposition and identification bridge health monitoring system, based on signal adaptive decomposition and identification of the signal of Example 1, the system can be hardware, can be software, can also be a hardware and software combination The mobile terminal, the computer storage medium containing the program code of the method of the first embodiment can be used, and the storage medium includes, but is not limited to, disk memory, CD-ROM, optical memory, computer program code, can be implemented. Figure 4 and / or Figure 4 Each process and / or box in each box; the above-described computer program command can be provided to a general purpose computer, a dedicated computer, an embedded processor, or another programmable data processing device processor to make a machine, such as mobile The end device makes instructions executed by the processor of the computer or other programmable data processing device to generate the flowF...

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Abstract

The invention discloses a bridge health monitoring method and system for signal adaptive decomposition and recognition, which is applied to the technical field of bridge structure detection, and comprises the following steps: S1, collecting response signals of a bridge structure under the working conditions that a train does not get on a bridge and gets on the bridge; S2, performing regularity analysis on the signal by adopting a graphic method in an EDA analysis method; S3, adopting a Pauta method to remove abnormal values in the response signals; S4, adopting a trinomial least square method to eliminate trend terms and burrs in the actually measured response signals; S5, based on an AEMD algorithm, performing signal adaptive decomposition and automatic recombination on the response signal; and S6, on the basis of a DATA-SSI method, carrying out modal parameter identification on the recombined signal, and monitoring the health state of the bridge structure in real time. The system can quickly output a detection result; according to the method, trend terms and burrs in the response signals can be removed, abnormal factors in the response signals can be eliminated, and the accuracy of monitoring the health state of the bridge structure is improved.

Description

Technical field [0001] The present invention relates to the field of bridge structural monitoring techniques, and more particularly to a signal adaptive decomposition and identification of bridge health monitoring methods and systems. Background technique [0002] With the rapid development of urban orbit traffic in my country, the construction of urban and urban subway has also been rapidly developed. It also has an increase in the number of bridge structures while enjoying transportation. As we all know, over time, the function of the bridge structure itself has a downward trend. Once its own damage is reached, it needs to be necessary for the necessary safety assessment, and the assessment needs to take appropriate safety measures to ensure It has a good operating state to meet normal use. [0003] At present, the traditional bridge health monitoring method is to collect the response signal of the structure by collecting a sensor in the bridge structure (commonly used sensor, ...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06Q10/06G06Q50/08
CPCG06Q50/08G06Q10/0639G06F2218/00G06F2218/04
Inventor 何杰鲁昭李震熊欢欢颉元伟叶九发王经权王敏高雄雄
Owner CHINA RAILWAY ERYUAN ENG GRP CO LTD
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