摘要
为了对激光测量系统的测量误差3维空间分布进行有效评估,以特定点测量或仿真的大量位置数据为基础,采用孤立森林算法对点云进行了异常数据筛除。基于误差椭球理论,引入粒子群优化算法,针对有效数据建立了最小包络椭球的不确定度模型;采用测量场与单点不确定度的坐标系变换,将不确定度最小包络椭球模型应用于测量场景内不确定度场的空间分布分析;通过单点以及10m量级范围空间场景实测数据的测试,该模型可以高效地筛选有效采样数据,并依据需求进行不同程度的最小包络椭球计算,得到相应的不确定度。结果表明,基于测量位置数据,该模型可以高效准确地描述单点位置的3维不确定度范围,并能够有效地再现测量空间内的不确定度分布,在4.7m的测量距离、94.2%的筛选后有效数据、97.5%的包络比例下,计算获得不确定度范围为三轴长4.95μm,18.39μm和30.53μm的椭球。该最小包络椭球不确定度模型在基于实测的理论模型验证、设备状态与测量场景环境分析,以及测量布局设计等方面具有着重要的价值。
In order to effectively evaluate the three-dimensional spatial distribution of measurement errors of the laser measurement system,a new uncertainty model based on the calculation of the minimum envelope ellipsoid was proposed.Based on the measured or simulated location data,the isolated forest algorithm was introduced to filter out abnormal data in the point cloud.With the valid data,the minimum envelope ellipsoid uncertainty model was established based on the particle swarm optimization and the error ellipsoid theory.By the coordinate system transformation between the measurement field and the single point uncertainty,the minimum envelope ellipsoid model was applied to the spatial uncertainty distribution analysis.Through the test of the measured data of a single point and a 10m-level space scene,the model can efficiently screen the sampling data and perform different levels of minimum envelope ellipsoid calculations according to the requirements.And then the corresponding uncertainty can be obtained.The results show that based on the measurement position data,the model can efficiently and accurately describe the three-dimensional uncertainty range of a single point position,and can effectively reproduce the uncertainty distribution in the measurement space.With the experimental conditions of a measurement distance 4.7m,the effective data after screening 94.2%,and an envelope ratio 97.5%,an ellipsoid with an uncertainty range of three-axis length 4.95μm,18.39μm,30.53μm is obtained by the model calculation.The minimum envelope ellipsoid uncertainty model has important value in many aspects,such as theoretical model verification based on actual measurement,equipment state and measurement environment analysis,and measurement layout design.
作者
李源
柴艳红
刘兰波
毛喆
翟新华
LI Yuan;CHAI Yanhong;LIU Lanbo;MAO Zhe;ZHAI Xinhua(Shanghai Aerospace Electronic Technology Institute, Shanghai 201109,China)
出处
《激光技术》
CAS
CSCD
北大核心
2022年第3期293-300,共8页
Laser Technology
基金
上海市青年科技英才扬帆计划资助项目(21YF1417300)。
关键词
测量与计量
测量不确定度
最小包络椭球
激光测量系统
孤立森林算法
粒子群优化算法
measurement and metrology
measurement uncertainty
minimum ellipsoid envelope
laser measurement system
isolated forest algorithm
particle swarm optimization algorithm
