Laser point cloud recognition algorithm for machining precision of shield segment reinforcement cage

The invention discloses a laser point cloud recognition algorithm for shield segment reinforcement cage machining precision, relates to the technical field of construction in the field of rail transit, and aims to solve the problem of errors of an outer cambered surface, two end surfaces and two side surfaces of a reinforcement cage through laser point cloud. According to the method, the key feature points of the outer cambered surface, the thickness, the width and the end face perpendicularity of the reinforcement cage are automatically collected, the outer contour of the duct piece is drawn, the binding error of the duct piece is rapidly and accurately analyzed through an algorithm, the reinforcement cage is further adjusted according to the error, and compared with traditional manual measurement, the method has the advantages that the measured related size is more accurate, and the efficiency is higher. 本发明公开了一种盾构管片钢筋笼加工精度的激光点云识别算法，涉及轨道交通领域的施工技术领域，针对钢筋笼的外弧面、两个端面、两个侧面，这5面存在的误差问题，通过激光点云，自动采集钢筋笼的外弧面、厚度、宽度、端面垂