Detection method for looseness of track fastener nut based on height comparison
A technology of track fasteners and detection methods, which is applied in the direction of tracks, track maintenance, roads, etc., can solve the problems that cannot be automatically judged and changed, and achieve the effects of flexible use, elimination of safety hazards, and wide range of use
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Embodiment 1
[0054] use image 3 The W-shaped fastener shown is illustrative of this embodiment.
[0055] Step 1: Use a 3D imaging system to obtain 3D shape data of rail fasteners;
[0056] use figure 2 The shown line structured light scanning 3D imaging system acquires 3D shape data of rail fasteners. Such as figure 2 As shown, the line-structured light scanning 3D imaging system includes a line-structured light projector 1 and an area array camera 2, the positions and angles of the line-structured light projector 1 and the area array camera 2 remain fixed, and the line-structured light projector 1 generates a line structure The light sheet light is projected onto the fastener 4 perpendicular to the rail 3, forming a section profile on the surface of the fastener 4, and the section profile is photographed by the area array camera 2, and the distance between the light sheet light plane and the area array camera 2 is The geometric position relationship can calculate the coordinates of...
Embodiment 2
[0073] The difference from Example 1 is that in step 4, the following method is used to calculate the nut height value:
[0074] Step b-4-1: Set the threshold T 1 , perform threshold segmentation on the pixels in the nut ROI to obtain the region R;
[0075]
[0076] Among them, f(x, y) represents the pixel gray value at (x, y) in the nut ROI, and the threshold T 1 =v max -a, where v max Indicates the maximum pixel gray value in the nut ROI, a=5;
[0077] Step b-4-2: Calculate the circumcircle radius r4 of the area R, when r4>r2+e1, calculate the average or median value of the pixels in the area R, as the nut height h c , otherwise go to step 4-3, e1=5.
[0078] Step b-4-3: Carry out circular fitting to the region R, take the center of the circle as the center, set a concentric ring C with radii r5 and r6, r5=r2+e2, r6=r3-e3, Take the average or median value of the pixels in the area of the ring C as the nut height h c ;
[0079] Among them, e2=5, e3=5; r2 is the r...
Embodiment 3
[0081] The difference from Example 2 is that in step b-4-2, when r4>r2+e1, take the non-zero pixel value with the most occurrences in the region R as the nut height h c .
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