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作 者:汤洁[1] 张溶洲 石照耀[1] TANG Jie;ZHANG Rong-zhou;SHI Zhao-yao(Beijing Engineering Research Center of Precision Measurement Technology and Instruments,Faculty of Materials and Manufacturing,Beijing University of Technology,Beijing 100124,China)
机构地区:[1]北京工业大学材料与制造学部北京市精密测控技术与仪器工程技术研究中心,北京100124
出 处:《光学精密工程》2021年第6期1387-1396,共10页Optics and Precision Engineering
基 金:国家自然科学基金重点项目(No.51635001)。
摘 要:目的:针对齿轮测量中的双面啮合测量数据在云平台的数据处理问题,主要研究双啮误差评定方法、云端数据处理系统部署,以及云端数据处理软件设计。方法:云平台采用“Linux+Tomcat+MySQL+Java”架构,使用Javaweb技术;给出在云平台部署Web应用的方法;设计齿轮双啮测量数据云处理系统,实现客户端与云端、仪器端与云端的数据交互。齿轮双啮测量数据处理软件设计中的几个要点:网络IP地址、软件前端访问界面、齿轮双啮测量数据库及双啮误差评定。结果:给出软件界面,可实现数据在云平台的上传、下载,并将仪器端上传的齿轮双啮测量相关数据进行误差评定,得到齿轮双啮测量结果,示例中被测齿轮的径向综合总偏差为32.7μm、一齿径向综合偏差为9.5μm,按标准GB/T 38192-2019评定为8级精度。结论:齿轮双啮测量数据云处理系统部署及实现相关技术研究,对精密仪器测量数据云处理具有一定的参考价值。To address the data processing problem of double-flank gear rolling tests in a cloud platform,in this study,the evaluation of radial composite deviations,deployment of cloud data processing systems,and design of cloud data processing software are investigated.The cloud platform for a cloud data process⁃ing system of a double-flank gear rolling test adopts the architecture of“Linux+Tomcat+MySQL+Ja⁃va”and employs Java Web technology.Herein,the method of deploying a web application in a cloud plat⁃form is presented,the cloud data processing system of the double-flank gear rolling test is designed,and the data interaction between the client and cloud,and that between the instrument and cloud are realized.The key aspects of the software design include the network IP address,front-end access interface of the data processing software for the double-flank gear rolling test,database,and evaluation of radial composite deviations.Furthermore,the cloud processing system interface is presented,and evaluation experiments of radial composite deviations are conducted.Radial composite deviations can be obtained through the eval⁃uation of the measurement data from the instrument end.For the sample of the measured product gear,the radial composite deviation was 32.7 and tooth-to-tooth radial composite deviation was 9.5μm,with a grade 8 accuracy in accordance with the standard GB/T 38192-2019.Therefore,this study is expected to serve as a reference for the development of cloud data processing technology for precision instruments.
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