计量学报2024，Vol.45Issue(3)：440-446,7.DOI:10.3969/j.issn.1000-1158.2024.03.19
矿用通风机叶片线激光测量数据优化方法研究
Research on Method of Data Optimization for 2D Laser Measurement of the Mining Ventilator Blade
摘要
Abstract
The extraction of measurement model is the key issue to detecting the geometric deformation of mining ventilator blades.In order to improve the accuracy of measurement model for the blade,a method of data optimization based on least squares principle for the 2D laser measurement is proposed.Firstly,the raw measurement data of the 2D laser sensor is processed based on Kalman filter algorithm in real-time,the accuracy of coordinate measurement is improved and the authentic data for subsequent model construction is provided.Then,three measurement models are solved respectively using methods of cubic polynomial,cubic B-spline,high-order Bessel,and the significance level of each model is evaluated based on the least squares principle,the measurement model suitable for the geometric characteristics of the ventilator blades is determined.Finally,the experimental research is implemented,and the results show that the best fitting effect can be achieved by establishing the measurement model of blade using cubic B-spline function,with the smallest significance evaluation factor(less than 0.05).The accuracy of the blade measurement model is effectively improved through data optimization,and provides an effective technical solution for subsequent geometric evaluation of fan blades.关键词
几何量计量/矿用通风机/叶片测量/线激光/数据优化/最小二乘法Key words
geometric metrology/mining ventilator/blade measurement/2D laser/data optimization/least squares method分类
通用工业技术引用本文复制引用
李学哲,申瑶,曹艾,王彦昕,花忠旭,田文宇..矿用通风机叶片线激光测量数据优化方法研究[J].计量学报,2024,45(3):440-446,7.基金项目
河北省高等学校科学技术研究项目(Z2020230) （Z2020230）
河北省教育厅重点基金项目(ZD2021419) （ZD2021419）
河北省教育厅科学技术研究项目(QN2023011) （QN2023011）
