›› 2016, Vol. 29 ›› Issue (10): 122-.

• 论文 • 上一篇    下一篇

石油管材内涂层膜厚检测系统的参数辨识

唐明洲,杨丽红,王景良   

  1. (上海理工大学 机械工程学院,上海200093)
  • 出版日期:2016-10-15 发布日期:2016-11-14
  • 作者简介:唐明洲(1990-),男,硕士研究生。研究方向:石油管道内壁膜厚的厚度测量。
  • 基金资助:

    上海市宝山区科学技术委员会产学研合作基金资助项目(CXY-2012-06)

Parameter Identification of the Measurement System for Detecting Internal Coating Thickness of Oil Pipes

TANG Mingzhou, YANG Lihong, WANG Jingliang   

  1. (School of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China)
  • Online:2016-10-15 Published:2016-11-14

摘要:

针对如何提高石油管材内涂层膜厚检测系统精度,基于直射式激光三角法原理建立了光学系统模型,并运用Matlab对其参数进行优化,设计加工了一种新型小口径管材的检测系统。通过对传感器进行标定试验,应用二值化进行数据处理,确定了参数b对光学系统灵敏度影响最大,基于参数辨识进行校正确定了参数b的实际值为33.88 mm。经过试验验证,辨识出的参数b可以使测试系统的精度满足±002 mm的要求,相对于传统标定方法测量精度可提高1个数量级

关键词: 激光三角法, 精度, 标定, 参数辨识

Abstract:

A new type of small diameter pipe detection system is designed to improve precision of detection system for oilpipe internal coating thickness. The optical model is established based on the direct laser triangulation principle with its parameters optimized through MATLAB. The calibration experiment of the sensor is carried out and the data are processed by binarization. The parameter b, the most important effect on sensitivity of optical system, is corrected based on parameter identification. The actual value of the parameter b is 33.88 mm. A second calibration experiment is carried out, and its results indicate that using the identified b improves the measuring precision at the range of ±0.02mm, which meets the measuring requirement. The measuring precision by this calibration method based on parameter identification improves one order of magnitude over those by the traditional calibration method.

Key words: laser triangulation, precision, calibration, parameter identification

中图分类号: 

  • TN247