Attitude detection method of large liquefied natural gas module based on 3D laser detection

Abstract

The invention discloses a large-size liquefied natural gas module attitude detection method based on three-dimensional laser detection. The method comprises the following steps: among two modules to be butt-jointed in a CAD graph and in a field, one is respectively set as a reference module and the other module as a module to be butt-jointed, and coordinate values of the reference module in the CAD graph are enabled to be consistent with that in the construction field; measurement points are respectively selected at the same positions on the module to be butt-jointed in the CAD graph and in the field; the module to be butt-jointed is canned, and coordinates of the seven measurement points are extracted and are converted under a CAD graph coordinate system; and attitude angles of the module to be butt-jointed in the construction field under the CAD graph coordinate system around three axes of graph coordinates and object attitude angles of the module to be butt-jointed in the CAD graph around the three axes of the graph coordinates are obtained through calculation, and then the onsite module to be butt-jointed is adjusted. By using the method provided by the invention, the butt joint precision is improved.

Description

technical field [0001] The invention relates to a posture detection method in the docking process, in particular to a large-scale liquefied natural gas module posture detection method based on three-dimensional laser detection. Background technique [0002] In the docking adjustment process of the large-scale LNG subsection module, it is necessary to determine the adjustment amount during the docking process according to the current attitude, so it is necessary to determine the attitude of the module to be docked during the docking process. The traditional attitude detection mainly scans the docking surface of the module to be docked to obtain the characteristics of the docking surface for matching. Since this method cannot obtain the angular deviation on the axis of the module to be docked, there is a problem of low accuracy during the docking process. Shortcomings, and the traditional attitude detection is to use the total station for measurement, so in order to obtain the...

AI Technical Summary

Problems solved by technology

The traditional attitude detection mainly scans the docking surface of the module to be docked to obtain the characteristics of the docking surface for matching. Since this method cannot obtain the angular deviation on the axis of the module to be docked, there is a problem of low accuracy during the docking process. Shortcomings, and the traditional attitude detection is to use the total station for measurement, so in order to obtain the coordinates of the measurement point, it needs to go through multiple measurements, which has the characteristics of low efficiency

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