应用光学, 2020, 41 (2): 248, 网络出版: 2020-04-23   

火炮身管内壁检测系统的数据处理方法研究

Research on data processing method of gun barrel inner wall detection system
作者单位
天津大学 精密仪器与光电子工程学院 光电信息技术教育部重点实验室,天津 300072
摘要
为了解决身管内壁检测系统数据量大,数据处理环节复杂导致身管参数信息获取困难的问题,提出了火炮身管内壁检测系统的数据处理方法。在完成火炮身管检测系统搭建的基础上,针对身管的特殊结构以及激光位移传感器采集数据的特点,提出了身管内壁轮廓还原方法和膛线数据分离方法,基于最小二乘法获取身管内壁参数,并且对系统存在的误差进行了分析和校正,提高了系统的精度。实验结果证明:系统的径向误差小于0.01 mm,异常数据修正的误差小于0.01 mm,数据处理方法正确,有效解决了获取火炮身管内壁参数的问题。
Abstract
In order to solve the problem that the data of the inner wall detection system of the body tube is large and the data processing is complicated, the parameter of the body tube is difficult to obtain, and the data processing method of the inner wall detection system of the gun barrel is proposed. On the basis of completing the construction of the gun barrel detection system, aiming at the special structure of the body tube and the characteristics of the data collected by the laser displacement sensor, the method of reducing the inner wall contour of the body tube and the method of separating the line data are proposed. The parameters of the inner wall of the body tube are obtained based on the least squares method. And the error of the system is analyzed and corrected, which improves the accuracy of the system. The experimental results show that the radial error of the system is less than 0.01mm, the error of the abnormal data correction is less than 0.01 mm, and the data processing method is correct, which effectively solves the problem of obtaining the inner wall parameters of the gun barrel.

黄战华, 岳富军, 张光, 王星宇, 张尹馨. 火炮身管内壁检测系统的数据处理方法研究[J]. 应用光学, 2020, 41(2): 248. Zhanhua HUANG, Fujun YUE, Guang ZHANG, Xingyu WANG, Yinxin ZHANG. Research on data processing method of gun barrel inner wall detection system[J]. Journal of Applied Optics, 2020, 41(2): 248.

本文已被 1 篇论文引用
被引统计数据来源于中国光学期刊网
引用该论文: TXT   |   EndNote

相关论文

加载中...

关于本站 Cookie 的使用提示

中国光学期刊网使用基于 cookie 的技术来更好地为您提供各项服务,点击此处了解我们的隐私策略。 如您需继续使用本网站,请您授权我们使用本地 cookie 来保存部分信息。
全站搜索
您最值得信赖的光电行业旗舰网络服务平台!