概括
这项研究通过将距离测量集成到三角测量网络中,提高了制造业中的3D坐标测量准确性. 这提高了深度方向精度,这对于大规模的部件对齐和质量控制至关重要.
科学领域:
- 计量学和测量科学 计量学和测量科学
- 机械工程 机械工程
- 先进的制造技术先进的制造技术
背景情况:
- 对大规模3D坐标的精确测量对于先进制造至关重要.
- 旋转激光扫描系统提供高精度和自动化,但在深度准确性方面存在困难,特别是在更远的距离上.
- 现有的方法对于关键应用而言,在深度维度上缺乏足够的准确性.
研究的目的:
- 为了提高多站三角测量系统的深度方向定位精度.
- 开发一种新的方法,整合绝对距离测量以克服三角测量限制.
- 引入一个共同的校准方法,用于多种类型的站,没有外部引用.
主要方法:
- 将距离测量站集成到旋转激光扫描网络中.
- 开发一个合作的目标和高动态光束引导,以快速测量绝对距离.
- 距离和角度观测的加权融合,以提高准确性.
- 用光学和物理尺度条对多种类型站的外部参数进行联合校准.
主要成果:
- 拟议的方法显著提高了测量准确性,特别是在深度方向.
- 与标准三角化方法相比,测量点的平方根平均误差减少到42.6%.
- 联合校准方法有效校准多种类型的站,而不需要外部仪器,如激光追踪器.
结论:
- 距离测量站和新型合作目标的整合有效地解决了三角测量系统的深度准确性限制.
- 开发的联合校准方法为多种类型的站校准提供了强大且独立的解决方案.
- 这种方法为大型工业应用的高精度3D坐标测量提供了显著的进步.
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01:26Errors in Global Positioning System
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01:30Types of Global Positioning System Surveys
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01:30Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device
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