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基于EWMA的零件加工过程质量控制系统研究 被引量:1

Quality Control System of Parts Processing Based on EWMA
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摘要 在传统生产线制造过程中,由于质量信息离散化,获取数据和存储信息不及时,过程质量状态不能实时监控等,造成产品质量异常问题处理不及时、生产成本浪费以及工序能力判断不准确等问题。为解决此问题,以主轴箱箱体加工生产线为研究对象,提出基于指数加权移动平均法(EWMA)的零件加工过程动态质量控制解决方案。利用指数加权移动平均法(EWMA)优化、OPC实时数据采集系统、Web开发平台、MySQL数据库等集成建立了QMS质量控制架构模型。实时采集主轴箱生产线制造过程中的质量数据并进行传输,得到过程质量监测的信息数据。结合EWMA分析主轴箱箱体加工过程中关键质量特征值的控制范围,并将绘制的SPC控制曲线显示在客户端,有效提高质量控制的实时性与准确性。 In the traditional production line manufacturing process,quality information is discretized,data acquisition and storage information are not timely,process quality status cannot be monitored in real time,resulting in untimely handling of product quality abnormalities,waste of production costs and inaccurate judgments of process capabilities.To resolve this problem,taking the headstock box processing production line as the research object,a dynamic quality control solution for parts processing based on exponenentially weighted moving average(EWMA)method was proposed,and the QMS quality control architecture model was established by using the integration of exponential weighted moving average method optimization,OPC real-time data acquisition system,Web development platform,MySQL database.Through the real-time collection and transmission of quality data during the manufacturing process of the spindle box production line,the information data for process quality monitoring could be obtained.Combined with EWMA,the control range of key quality characteristic values in the machining process of the spindle box body was analyzed,and the drawn SPC control curves were displayed on the client,by which the real-time and accuracy of quality control could be effectively improved.
作者 彭功雳 胥云 章周伟 叶雷 PENG Gongli;XU Yun;ZHANG Zhouwei;YE Lei(School of Mechanical Engineering,Sichuan University of Science&Engineering,Yibin Sichuan 644000,China)
出处 《机床与液压》 北大核心 2022年第14期85-90,共6页 Machine Tool & Hydraulics
基金 四川省经委项目(E10104208) 四川轻化工大学创新基金(D10501241)。
关键词 指数加权移动平均法 质量控制系统 统计过程控制 Exponential weighted moving average(EWMA)method Quality control system Statistical process control
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