Structural modal parameter identification method and device, computer equipment and storage medium

A technology of parameter identification and structural modality, which is applied in computer parts, character and pattern recognition, calculation, etc., can solve problems such as unconsidered, difficult to respond to signals, and difficult to be widely used

Active Publication Date: 2022-01-07
SOUTH CHINA UNIV OF TECH
View PDF7 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

It is worth noting that the above studies are all applied under ideal measurement conditions, requiring a stable light environment and airflow environment, without considering the influence of light and windy environment on the measurement results
[0005] In addition, the experimental modal analysis method based on the input and output signals of the known structural system can obtain accurate modal parameters, and it is difficult to artificially stimulate large-scale actual engineering structures to obtain their response signals
Therefore, the experimental modal analysis method based on input and output signal data is difficult to be widely used in practical engineering.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Structural modal parameter identification method and device, computer equipment and storage medium
  • Structural modal parameter identification method and device, computer equipment and storage medium
  • Structural modal parameter identification method and device, computer equipment and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0130] This embodiment combines motion-enhanced spatio-temporal context, spatio-temporal edge detection method and stochastic subspace method to propose a structural modal parameter identification method based on UAV video technology, defined as motion-enhanced spatio-temporal context based on spatio-temporal edge detection Algorithms for extracting structural modal parameters from video of structural vibrations captured by drones. First, the motion-enhanced spatio-temporal context algorithm is used to obtain the relative motion displacement of the structure based on the motion of the UAV camera, and then a spatio-temporal edge adaptive detection algorithm is introduced to calculate the scale factor of adjacent frames to update the displacement information. Finally, use Operational Modal Analysis (OMA, also known as modal analysis under environmental excitation) - Stochastic Subspace Identification (SSI) to directly analyze the visual technology to obtain displacement data and ...

Embodiment 2

[0266] like Figure 24 As shown, this embodiment provides a structural modal parameter identification device, which includes a calibration module 2401, an extraction module 2402, a calculation module 2403, and an estimation module 2404. The specific functions of each module are as follows:

[0267] The calibration module 2401 is used to obtain the structural vibration video taken by the UAV and perform camera calibration.

[0268] The extraction module 2402 is used to extract the relative motion displacement of the structure based on the camera motion of the UAV by using the motion-enhanced spatio-temporal context matrix algorithm for the structural vibration video after the camera is calibrated.

[0269] The calculation module 2403 is configured to use a space-time edge adaptive detection algorithm to calculate scale factors of adjacent frames to update displacement information.

[0270] The estimation module 2404 is used to analyze the displacement response data of the stru...

Embodiment 3

[0273] Obtain the structural vibration video taken by the drone and perform camera calibration;

[0274] Obtain the structural vibration video taken by the drone and perform camera calibration;

[0275] For the structural vibration video after camera calibration, the motion-enhanced space-time context matrix algorithm is used to extract the relative motion displacement of the structure based on the UAV camera motion;

[0276] Using the spatio-temporal edge adaptive detection algorithm, calculate the scale factor of adjacent frames to update the displacement information;

[0277] The displacement response data of the structure is analyzed by random subspace algorithm, and the system modal parameters of the structure are estimated.

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a structural modal parameter identification method and device, computer equipment and a storage medium. The method comprises the steps of: acquiring a structural vibration video shot by an unmanned plane, and carrying out the camera calibration; for the calibrated structural vibration video, extracting relative motion displacement of the structure based on unmanned aerial vehicle camera motion by adopting a motion-enhancement spatio-temporal context matrix algorithm; adopting a spatio-temporal edge adaptive detection algorithm to calculate scale factors of adjacent frames so as to update displacement information; and analyzing displacement response data of the structure by adopting a random subspace algorithm, and estimating system modal parameters of the structure. According to the structural modal parameter identification method and device, the motion-enhancement spatio-temporal context matrix algorithm is used, modal parameters of a structure are extracted from a structure vibration video shot by an unmanned aerial vehicle, the size of image scale change is corrected through a spatio-temporal edge adaptive detection algorithm, response data of the structure are directly analyzed by using a random subspace method, noise signals irrelevant to data can be eliminated, and the dynamic properties of the structure can be conveniently and quickly obtained.

Description

technical field [0001] The invention relates to a structural mode parameter identification method, device, computer equipment and storage medium, belonging to the field of structural health monitoring. Background technique [0002] The identification of structural dynamic characteristics has been widely used in the field of civil engineering structures due to its convenience, quickness, and easy realization. Structural dynamic characteristics are the inherent dynamic performance of the structure itself, structural damage will lead to changes in its physical properties (stiffness, mass and damping), and then lead to changes in its modal parameters [1]. The modal identification is the process of obtaining the dynamic special effect system model based on a set of structural response data. In modal identification practice, structural response is usually obtained using sensors, but it usually requires cumbersome installation and expensive equipment. [0003] In recent years, wi...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06T3/00G06T5/00G06T7/13G06T7/80
CPCG06T7/80G06T7/13G06T5/002G06T3/005G06T2207/10016
Inventor 陈太聪周洲邓达彦
Owner SOUTH CHINA UNIV OF TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap