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Measurement Uncertainty Evaluation Method for Task-Oriented Coordinate Measuring Machines
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摘要: 针对坐标测量机多不确定度源的分析和合成难题，利用基于球列的坐标测量机21项几何运动误差分离方法和蒙特卡洛模拟算法实现坐标测量机面向任务测量不确定度评价，并建立了基于“互联网+”的坐标测量机的溯源服务体系。省市计量院作为溯源网络节点，协助进行数据采集，包括误差参数、环境参数和仪器参数等。当用户需要进行特定任务测量时，将测量策略发送到中国计量科学研究院并通过网络将结果反馈给客户。该溯源网络在一定程度上减小了溯源链的长度，实现了计量的扁平化。Abstract: To solve the problem of analyzing and synthesizing multiple uncertainty sources of coordinate measuring machines (CMMs), the 21-item geometric motion error separation method of CMMs based on spherical column and Monte Carlo simulation algorithm is used to realize the task-oriented measurement uncertainty evaluation of CMMs, and the traceability service system of CMMs based on “Internet+” is established. The provincial and municipal metrology institutes act as traceability network nodes to assist in data collection, including error parameters, environmental parameters, and instrument parameters. When the user needs to perform task-specific measurements, the measurement strategy is sent to the National Institute of Metrology and the results are fed back to the user via the network. This traceability network reduces the length of the traceability chain to a certain extent and realizes the flattening of measurement.
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图 1 基于互联网的坐标测量机溯源服务体系
Figure 1. Internet-based coordinate measuring machines traceability service system
表 1 圆直径计算比较 单位：mm
Table 1. Circle diameter fitting results comparison Unit:mm
编号 计算结果 与NIST数据差值 1 41.8117 −7E-13 2 67.6334 −14E-13 3 1.4175 4E-13 4 35.9850 14E-13 
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表 2 En值计算
Table 2. Calculation of En Value
位置 X XR UVCMM UR En 空间1 749.9668 749.9661 0.0007 0.00057 0.77 空间2 749.9665 749.9661 0.0007 0.00057 0.45 空间3 749.9659 749.9661 0.0005 0.00057 0.29 空间4 749.9665 749.9661 0.0007 0.00057 0.45
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