Steel plate composite beam size quality detection method based on point cloud data

• Main Authors: LING BENCHUN, CHENG JIESHENG, YANG QI, PENG TAO, SHEN ZHIQIANG, ZENG QINGCHUN, LIU YEWEI, LIANG ZUOZHEN, XU QINGUO
• Format: Patent
• Language: Chinese; English
• Published: 02.08.2024
• Subjects: CALCULATING; COMPUTING; COUNTING; ELECTRIC DIGITAL DATA PROCESSING; MEASURING; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS; MEASURING LENGTH, THICKNESS OR SIMILAR LINEARDIMENSIONS; PHYSICS; TESTING

The invention discloses a steel plate composite beam size quality detection method based on point cloud data, and belongs to the technical field of bridge structural member detection, and the method comprises the following steps: S1, data collection and preprocessing; s2, calculating size parameters; and S3, outputting a detection result. The size and the quality of the steel plate composite beam section are identified and detected based on the point cloud model, the point cloud data are obtained through the 3D laser scanning technology and used for extracting the characteristics of the structural part, and therefore accurate size measurement and quality detection are achieved, the measurement accuracy is improved, the working efficiency is improved, and the production cost is reduced. The method is expected to be widely applied to engineering and manufacturing fields. 本发明公开了一种基于点云数据的钢板组合梁尺寸质量检测方法，属于桥梁结构件检测技术领域，包括以下步骤：S1：数据采集及预处理；S2：尺寸参数计算；S3：检测结果输出。本发明基于点云模型识别和检测钢板组合梁梁段的尺寸和质量，通过3D激光扫描技术获取点云数据，用于提取结构件的特征，从而实现