一种基于大数据的三坐标测量机测量数据分析系统及方法

By establishing a thermal error mapping model based on big data and machine learning, the thermal error of the coordinate measuring machine is monitored and compensated in real time, solving the problem that traditional compensation strategies cannot adapt to complex working conditions and improving measurement accuracy and stability.

CN121636972BActive Publication Date: 2026-07-17HEXAGON MANUFACTURING INTELLIGENCE TECHNOLOGY (SHENZHEN) CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
HEXAGON MANUFACTURING INTELLIGENCE TECHNOLOGY (SHENZHEN) CO LTD
Filing Date
2025-12-09
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Traditional thermal error compensation strategies for coordinate measuring machines (CMMs) cannot sense and respond to real-time changes in the machine tool's thermal state, which affects the accuracy and reliability of measurement results under complex working conditions.

Method used

By collecting multi-channel temperature sequences and spatial displacement data of the machine tool body, a thermal error mapping model based on big data and machine learning is established to monitor thermal state characteristics in real time and perform error compensation.

Benefits of technology

It enables online, proactive error compensation for the measurement process, improving the measurement accuracy and stability of the coordinate measuring machine under complex working conditions and reducing measurement uncertainty.

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Abstract

本申请提供一种基于大数据的三坐标测量机测量数据分析系统及方法,在预定义的测量机运行周期内,将机床本体的热状态特征向量和测量机中测量误差的位移特征进行映射关联,进而建立从温度场到机床热致误差的热误差映射模型;在实际目标工件的测量过程中,监测机床本体中各个测量点位的温度信息,从温度信息中提取机床本体实时的热状态特征,根据实时的热状态特征和热误差映射模型确定测量机对目标工件的热致误差值;在解算目标工件尺寸时,基于热致误差对机床本体中目标工件的原始测量坐标值进行热误差补偿,输出目标工件的测量坐标。基于上述方案可实现基于大数据与机器学习的热误差建模补偿,从而可提高三坐标测量机在复杂工况下的测量精度。
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