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基于坐标测量机数据互操作机制的检测数据管理及应用 被引量:4

Inspection data management and application based on CMM data interoperability mechanism
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摘要 车间常采用三坐标系统来检测零件加工精度,为相应机床提供预测性维护建议。由于三坐标检测软件提供的检测报告格式和内容相对固定,不利于制造执行系统(MES)利用这些数据,造成测量底层数据利用不足。鉴于此,以坐标测量机(CMM)原始测量数据获取与处理方法为对象,提出了基于CMM互操作中间层的数据互操作方法,讨论了该中间层的关键逻辑与数据处理流程。采用项目组自主研发的DIRECT-DMIS软件,通过一个实际案例,说明了如何采集对这些原始检测数据,支持车间利用MES开展设备预测性维护管理。 The workshop often uses a Coordinate Measurement Machine(CMM)system to inspect parts'machining accuracy.The inspection data generated can be used to evaluate the quality of the parts,and it can also provide predictive maintenance suggestions for the machine tools that process the parts and reduce the maintenance cost through data analysis.However,the reports provided by CMM software are relatively fixed,it is not conducive to the quality management module of the MES system to carry out data analysis,resulting in insufficient utilization of the original data of the measurement,and limiting the functions of the quality management module.By taking the CMM raw measurement data acquisition and processing method as the object,a data interoperability method based on the middle layer was presented,and the middle layer's critical logic and the data processing flow were discussed.Using the DIRECT-DMIS software independently developed by the research team,the collection of these original inspection data was illustrated through a practical case,and the workshop to carry out equipment predictive maintenance management in Manufacturing Execution System(MES)was supported.
作者 魏双羽 白跃伟 Paul de Vrieze WEI Shuangyu;BAI Yuewei;DE VRIEZE Paul(School of Intelligent Manufacturing&Controlling,Shanghai Polytechnic University,Shanghai 201209,China;Faculty of Science&Technology,Bournemouth University,Bournemouth BH125BB,UK)
出处 《计算机集成制造系统》 EI CSCD 北大核心 2021年第4期1032-1039,共8页 Computer Integrated Manufacturing Systems
基金 国家重点研发计划资助项目(2017YFE0118700,2019YFB17043) 欧盟地平线2020计划资助项目(734599)。
关键词 数据互操作 坐标测量机 制造执行系统 质量数据分析 data interoperability coordinate measurement machine manufacturing execution system quality data analysis
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