A monitoring method for the maximum deformation during the lifting process of large structures

Abstract

The invention discloses a method for monitoring the maximum amount of deformation during the lifting process of a large-scale structure, which includes irradiating the surface of the structure with laser light to form laser speckles, and using a CCD camera to take pictures at a certain time interval when it is not lifted and during the lifting process. The captured grayscale image is processed by the image acquisition card to obtain the pixel coordinates of the speckle, and the K-means module in Python is used to cluster the coordinate data, and a cluster center point is selected in each speckle as the scatter point. The approximate replacement of the spot position, calculate the offset of these corresponding pixels in matlab, obtain the maximum offset, and draw the line graph of the offset over time. During the promotion process, if there is a special situation in the line graph, you need to immediately Shut down for maintenance. The invention can improve the measurement accuracy of the surface deformation of the structure, simplify the setting process of the measurement device, reduce the use cost and greatly improve the measurement efficiency.

Description

technical field [0001] The invention relates to a method for monitoring the deformation of a large-scale structure, in particular to a method for monitoring the maximum deformation of the large-scale structure during the lifting process. Background technique [0002] When installing and transporting large-scale structures, it is necessary to hoist through the lifting points on the structure or to lift the fulcrum on the structure. Unstable conditions during the lifting or lifting process will cause the large-scale structures to deform. When the deformation exceeds the critical value, it may lead to engineering accidents. [0003] Large-scale structures have large spans, and the allowable deformation during the lifting process is small. It is difficult to accurately measure the structural deformation of large-scale structures during the lifting process using traditional displacement sensors and angle inclination sensors. A more accurate measurement method is to use a static ...

AI Technical Summary

Problems solved by technology

[0002] When installing and transporting a large structure, it needs to be hoisted through the lifting point on the structure or lifted by the fulcrum on the structure. The instability during the lifting or lifting process will cause deformation of the large structure. When the large structure When the deformation exceeds the critical value, it may lead to engineering accidents

[0003] Large-scale structures have large spans, and the allowable deformation during the lifting process is small. It is difficult to accurately measure the structural deformation of large-scale structures during the lifting process using traditional displacement sensors and angle inclination sensors.

A more accurate measurement method is to use a static level to measure the surface to be measured, but the installation process of this method is complicated, and it usually takes several days of debugging to perform a measurement, and it can only be measured for a horizontal plane, so there are few application scenarios

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