火炮身管内壁检测系统的数据处理方法研究

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。

Research on data processing method of gun barrel inner wall detection system

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 0.01 mm,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.