Handheld concrete roughness three-dimensional detection device and method
A three-dimensional detection and concrete technology, applied in the direction of measuring devices, optical devices, instruments, etc., can solve the problems that the measurement accuracy cannot be well guaranteed, the operation process is cumbersome, etc. The method is convenient, the equipment is portable, and the guarantee is reliable. sexual effect
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Embodiment 1
[0030] see Figure 1-3 , a hand-held concrete roughness three-dimensional detection device, it includes a camera mounting plate 8, the bottom end surface of the camera mounting plate 8 is symmetrically fixed with a first camera assembly 9 and a second camera assembly 11, the first camera assembly The position between 9 and the second camera assembly 11 is fixed with a laser 10 for positioning, and the camera mounting plate 8 is connected with the hand-held structure through the connecting plate 4; it also includes a calibration plate 12 for positioning the scanning position, and the calibration plate 12 cooperates with the first camera assembly 9, the second camera assembly 11 and the laser 10, and realizes the three-dimensional scanning of the concrete surface in the set area. The detection device with the above structure can be used to detect the roughness of the concrete surface. It obtains the three-dimensional point cloud data of the concrete surface, and obtains its surf...
Embodiment 2
[0036] A method for detecting concrete roughness with a handheld concrete roughness three-dimensional detection device comprises the following steps:
[0037] Step 1: Clean up the debris on the surface of the concrete to be detected, and select a suitable detection area, place the calibration plate 12 in the selected area, place it flat and fix the calibration plate 12 in the area;
[0038] Step 2: Hold the handle 1, and scan the rectangular area 14 of the calibration plate 12 by moving the above-mentioned detection device to obtain the three-dimensional point cloud data of the concrete surface;
[0039] Step 3: Calculate the roughness of the point cloud data by using the plane expansion rate calculation method according to the three-dimensional point cloud data.
[0040] In the scanning process adopted in the second step, the point cloud data is obtained by using a planar single-chip scanning method or using the marker points 13 in the calibration plate to complete multi-chip...
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