House building load-bearing wall perpendicularity detection method

Abstract

The invention discloses a house building load-bearing wall perpendicularity detection method in the technical field of building load-bearing wall perpendicularity detection. A lead screw is fixedly assembled at the output end of a speed reducer, a threaded sliding seat is assembled on the outer wall of the lead screw in a threaded connection mode, a winding machine is fixedly arranged at the bottom of a supporting plate, a lifting rope is assembled on the winding machine in a winding mode, the other end of the lifting rope is fixedly provided with an infrared distance meter after bypassing a guide wheel, a laser plumb aligner is arranged at the top of the leveling mounting table, a mounting plate is fixedly arranged on the side wall of the fixing plate, an organic glass light target is fixedly assembled at the bottom of the mounting plate, and two times of mutually independent perpendicularity calculation can be achieved at the same time; the two variance calculation results are compared, and the two groups of data are compared to ensure that the error is within the pre-estimation range and can be used as the perpendicularity measurement data of the load-bearing wall, so that the inaccuracy of the measurement result caused by the data measurement error caused by single data measurement can be avoided, and the effective detection of the perpendicularity can be completed.

Description

technical field [0001] The invention relates to the technical field of vertical detection of building load-bearing walls, in particular to a vertical detection method of building load-bearing walls. Background technique [0002] Whether the building can be vertical is related to the safety of the whole building, so the vertical detection of the building is an indispensable project. The traditional vertical detection is based on the cooperation of the vertical line and the horizontal ruler. It is necessary to choose different detection tools, which will undoubtedly increase the cost of the project, and the traditional detection tools are also affected by the weather. In low visibility and windy weather, vertical detection cannot be carried out, which directly affects the overall quality of the project. Construction progress. At present, the detection of the verticality of high-rise or super high-rise buildings on the market adopts segmented detection measures. Although the se...

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Problems solved by technology

[0002] Whether the building can be vertical is related to the safety of the whole building, so the vertical detection of the building is an indispensable project. The traditional vertical detection is based on the cooperation of the vertical line and the horizontal ruler. It is necessary to choose different detection tools, which will undoubtedly increase the cost of the project, and the traditional detection tools are also affected by the weather. In low visibility and windy weather, vertical detection cannot be carried out, which directly affects the overall quality of the project. Construction progress. At present, the detection of the verticality of high-rise or super high-rise buildings on the market adopts segmented detection measures. Although the segmented detection measures reduce the rigidity of the building itself and the influence of the environment in which the building is located on the detection results However, the existing problem is that with the increase of the total height of the building, the number of subsections increases, and the number of measurements also increases greatly, resulting in an increase in the cumulative error of detection, which affects the detection accuracy of the verticality of high-rise buildings. At the same time, the same detection device cannot precisely control the error range very well, which leads to the increase of the measurement error due to the measurement error of the staff during the measurement, resulting in inconsistent measurement results. In order to ensure the consistency and small error of the measurement results, We propose a vertical detection method for load-bearing walls of buildings

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