面向对象的大尺寸测量不确定度分析_张福民.pdfVIP

16 　 11 　 Vol.16　No.11 2008 11　 　 　　　　　　　　Optics and Precision Engineering 　　　　　　　　 Nov.2008 　1004-924X(2008)11-2239-05 张福民, 曲兴华,叶声华 (天津大学 精密测试技术及仪器国家重点实验室,天津300072) :, 。 , 。 , , , , 。 , 、, 。, , , 2.552 5 mm, , 0.032 6 mm。, 、 , 。 　　:大尺寸测量;不确定度;蒙特卡罗法;面向对象;激光跟踪仪 :B92　　:A Uncertainty estimation of large-scale measurement for special fitting task ZHANG Fu-min, QU Xing-hua, YE Sheng-hua (StateKey Laboratory of Precision Measuring Technology and Instruments, Tianj in University, Tianj in 300072,China) Abstract:A new uncertainty estimation method was researched based on Monte Carlo evaluation, for some uncertainties of large-scale measurement could not be analyzed by conventional methods, espe- cially for special fitting task.In proposed estimation, the simulated sample was obtained by simulating each measuring error source randomly and denoted as discrete point-clouds by computer vision, so as the uncertainty of given measuring object could be evaluated.By taking analyzing large-scale circular section part by laser tracker for example, the optimized measurement concepts including point symme- try, equal distribution and radius constraint were given.Finally,the optimized evaluation method was used in measuring practical tunnel components by laser tracker, results show that the uncertainty is decreased to 0.032 6 mm after radius constraint optimization, which is priority to average fitting un- certainty of circle center of 2.5525 mm by traditional method.It is proved that Monte Carlo evaluation and discrete point-cloud representation can evaluate accurately and intuitively the uncertainty for large- scale object and the optimum sampling strategy can improve the measuring precision. Key words:large-scale measurement;uncertainty;Monte-Carlo method;special fitting task;laser