Building detection method and device based on point cloud data analysis

Abstract

The invention discloses a building detection method and device based on point cloud data analysis, and the device is used for achieving the method, and the method comprises the steps: building a building reference index library which at least comprises a wall surface, a ground, a ceiling horizontal reference surface and the angular deviation and spacing deviation of the wall surface, the ground and the ceiling horizontal reference surface; acquiring indoor actual measurement point cloud data of the target building acquired by laser scanning; converting a coordinate system of the actual measurement point cloud data into a local coordinate system; identifying surface data in the point cloud data, wherein the surface data at least comprises wall surface data, ground data and ceiling data; fitting the data of each surface by adopting a least square method to generate a corresponding fitting surface; calculating the angle difference between the fitting surface and the reference surface, andif the angle difference exceeds the angle deviation, marking the surface as an unqualified surface; and calculating the distance between each actual measurement point in the surface data and the fitting surface of the actual measurement point, and if the distance exceeds the distance deviation range, marking the actual measurement point as an unqualified point, thereby generating an actual measurement result. The detection method does not need manual intervention, and is efficient, rapid and accurate in data.

Description

technical field [0001] The present invention relates to the field of building quality detection, and more specifically, to a method and device for building detection based on point cloud data analysis. Background technique [0002] Project quality occupies a very important position in building construction. Various provinces and cities have promulgated residential project household quality acceptance systems based on actual conditions to strengthen process acceptance links. Many construction developers have introduced quality inspection acceptance systems based on this system. Quality inspection is It is a key technology to regularly sample and inspect construction entities, identify and actively eliminate project risks. The measured data should reflect the true quality of the construction project, so as to monitor the various processes of the construction in progress in real time and comprehensively improve the level of project quality management. [0003] In the past, buil...

AI Technical Summary

Problems solved by technology

The measurement method involving manual intervention is not only costly, but also due to the limitation of measurement tools and measurement operations, errors and deviations are inevitable, and it is difficult to improve the satisfaction of construction developers

At present, laser range finders or laser leveling instruments are used in building surveying to detect the levelness of walls or the squareness of buildings, but only within the scope of manpower to complete point-to-point or end-to-end point detection, and manual intervention detection , the distance between the wall surface and the reference horizontal line launched by the leveling instrument is extremely poor, the work efficiency is not high, and the error rate cannot be controlled

For the detection of ceiling flatness and levelness, due to the limitation of human ability, the validity of the detection data cannot be guaranteed

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