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作 者:张元元 刘宏伟 ZHANG Yuanyuan;LIU Hongwei(Information Network Center,Taiyuan University,Taiyuan 030032,China;College of Mathematics,Taiyuan University of Technology,Taiyuan 030600,China)
机构地区:[1]太原学院信息网络中心,太原030032 [2]太原理工大学数学学院,太原030600
出 处:《激光杂志》2025年第3期239-244,共6页Laser Journal
基 金:山西省教育厅高等院校科技创新项目(No.2022L582)。
摘 要:激光传感器误差直接影响其精度性能,为了给激光传感器的校准提供数据支持,利用大数据分析技术,优化设计激光传感器测量误差实时估计方法。综合考虑激光传感器的组成结构和工作原理,模拟激光传感器测量过程。从内部和外部两个方面确定测量误差的影响因素和影响机理,利用大数据分析技术中的采集和清洗技术,收集激光传感器的工作数据和工作环境数据,得出任意时刻激光传感器测量误差的估计结果。通过与传统方法的对比,得出结论:本方法的激光传感器测量误差的估计偏差值降低约16.5 mm。The error of laser sensors directly affects their accuracy performance.In order to provide data support for the calibration of laser sensors,big data analysis technology is used to optimize the design of real-time estimation methods for laser sensor measurement errors.Taking into account the composition,structure,and working principle of laser sensors,simulate the measurement process of laser sensors.Determine the influencing factors and mechanisms of measurement errors from both internal and external perspectives,and use the collection and cleaning techniques in big data analysis to collect the working data and working environment data of laser sensors.Obtain the estimated results of measurement errors of laser sensors at any time.By comparing with traditional methods,it can be concluded that the estimated deviation value of the measurement error of the laser sensor optimized by the design method is reduced by about 16.5 mm.
分 类 号:TN911[电子电信—通信与信息系统]
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