测绘通报 ›› 2018, Vol. 0 ›› Issue (4): 141-145.doi: 10.13474/j.cnki.11-2246.2018.0128

• 行业观察 • 上一篇    下一篇

结合智能全站仪的高速铁路CPⅢ自动学习方法

陈泽远   

  1. 中铁第一勘察设计院集团有限公司, 陕西 西安 710043
  • 收稿日期:2018-01-03 出版日期:2018-04-25 发布日期:2018-05-03
  • 作者简介:陈泽远(1983-),男,高级工程师,主要从事高速铁路精密测量及相关工作。E-mail:273819219@.qq.com

The Automatic Learning Method of High Speed Railway CPⅢ Point Based on the Intelligent Total Station

CHEN Zeyuan   

  1. China Railway First Survey and Design Institute Group, Xi'an 710043, China
  • Received:2018-01-03 Online:2018-04-25 Published:2018-05-03

摘要:

高速铁路CPⅢ平面控制网精度要求高、测量任务重,通常使用高精度测量机器人进行自动测量。本文深入研究了CPⅢ平面控制网的布网方案和测量方式,提出了一种相邻测站公共CPⅢ控制点的自动学习方法,并采用C#语言编写了CPⅢ数据采集软件。通过实际工程验证发现,该方法能够保证测量机器人准确找到目标点,提高了外业工作效率。

关键词: CPⅢ平面控制网, 平面坐标转换, 三角高程测量, 自动学习

Abstract:

High speed railway CPⅢ plane control network requires high precision and the measurement task is complex,usually using high precision measuring robot forautomatic measurement.This paper studies deeply the network scheme and the measuring method of the CPⅢ plane control network,and proposes an automatic learning method of adjacent station public CPⅢ control points,and uses the C# language to write the program for CPⅢ data acquisition software.Through practical engineering verification,this method can ensure that the robot can accurately locate the target point and improve the efficiency of the field process.

Key words: CPⅢ plane control network, plane coordinate transformation, triangulation height measurement, automatic learning

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