船舶小组立特征柔性测量系统
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1.中国船舶集团有限公司第七一六研究所;2.上交通大学 机械与动力工程学院

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船舶总装建造分段车间5G应用关键技术研究,工信部项目;项目编号:CJ04N20


Flexible Measurement System for Feature of Ship Sub-Assembly
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716th Research Institute of China Shipbuilding Corporation Limited

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    摘要:

    传统的船舶小组立零件上特征测量多采用人工测量,该方法精度低较大程度依赖于测量人员的测量方法,同时不便于数据的记录,这种低精度低效率的测量方式不符合数字化造船的理念。本文提出一种视觉测量系统,该系统由嵌入式线激光传感器与小组立焊接机器人组成。在测量特征时随着焊接机器人带动传感器到被测特征上方,对特征进行扫描并计算出特征的尺寸。该系统适用于小组立工件中各类特征的测量,并且对工件的摆放姿态无任何要求。为了验证该系统的可行性及精度,面向小组立中的圆槽孔特征。分别在实验室用小尺寸标准件测量以及在船厂现场搭建环境用实际工件进行测量,实验表明该方法测量标准件时尺寸误差小于0.05mm,重复性精度高于0.02mm;在现场测量时,长宽测量重复精度2mm,位置度测量精度3mm,该测量系统能够满足船舶现场的加工制造精度,同时能够减少人工参与提升检测效率。

    Abstract:

    The traditional measurement of features on ship sub-assembly often uses manual measurement, which greatly relies on the measurement methods of measurement personnel and is not convenient for data recording. This low precision and low efficiency measurement method does not conform to the concept of digital shipbuilding.This paper introduces a visual measurement system comprising an embedded line laser sensor and a ship sub-assembly welding robot. When measuring features, as the welding robot moves, the sensor is brought over the feature to be measured, scans it, and calculates the feature's dimensions. This system is suitable for measuring various types of features in ship sub-assembly workpieces and does not require specific positioning of the workpiece. To validate the feasibility and accuracy of this system, we focused on circular groove hole features in ship sub-assembly. Measurements were conducted both in a laboratory setting using small-sized standard components and in a shipyard's real-world workpiece environment. Experimental results showed that when measuring standard components, the size error was less than 0.05mm, with a repeatability accuracy exceeding 0.02mm. In on-site measurements, the repeatability accuracy for length and width measurements was 2mm, and the positional measurement accuracy was 3mm. This measurement system can meet the precision requirements of shipyard manufacturing operations while reducing manual intervention and enhancing inspection efficiency.

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  • 收稿日期:2023-09-27
  • 最后修改日期:2023-11-02
  • 录用日期:2023-11-06
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