蒙特卡洛法评定全站仪测量不确定度方法分析  

Analysis of Measurement Uncertainty Based on Monte Carlo method

作　　者：范春艳[1] 刘尚国[1] 杨世寨 FAN Chunyan

机构地区：[1]山东科技大学,山东青岛266590 [2]烟台卫正地产评估有限公司,山东烟台264003

出　　处：《地理空间信息》2020年第4期105-109,I0008,共6页Geospatial Information

摘　　要：针对GUM法评定测量不确定度时存在的问题,引入了蒙特卡洛方法对测量不确定度进行评定,以全站仪测量系统为例,分析样本数对仿真效率和准确性的影响,进一步研究全站仪测量空间不确定度受观测要素影响的分布规律,并利用传统的GUM法与蒙特卡洛法的评定结果进行对比分析。结果表明相对于GUM法,利用蒙特卡洛法评定测量不确定度不仅可一次性获得完整的测量结果,且用于研究其受观测要素的影响规律时计算更为简便,评定结果更为精确。According to the problems existed in evaluating the uncertainty of measurement by GUM method, we used Monte Carlo method to evaluate the uncertainty of measurement in engineering survey. Taking total station measurement system for example, we analyzed the influence of the sample size on simulation efficiency and accuracy. Then, we compared and analyzed the results of the traditional GUM method and Monte Carlo method. The results show that when evaluating the measurement uncertainty, Monte Carlo method can obtain the complete measurement results at one time. The calculation to study the influence of observation factors on the uncertainty of measurement in different directions is simpler. And the evaluation result of measurement uncertainty is more accurate compared with the GUM method.

关 键 词：蒙特卡洛法 测量不确定度 方法分析 测量不确定度评定导则法(GUM法) 

分 类 号：P241[天文地球—测绘科学与技术]