数控机床故障诊断的三维显示与优化的研究

发布时间：2018-11-21 07:50

【摘要】：针对目前数控机床故障诊断的结果输出仅是文本或者文本与图片混合的现状,提出了一种基于Web的显示三维机床模型并标记故障位置的研究方法。通过对Obj三维文件格式的理解,提出了提取文件三维数据的算法和故障位置零件和平面标记的算法,结合Open GL的API函数接口,在Active X控件中绘制了三维模型,供Web使用,用于数控机床的故障诊断的规则或案例输出。并针对于数据量大的初始文件进行优化处理,力求使维护人员或使用者在网页上通过鼠标对三维模型进行人机交互操作,更加方便的标记或查看数控机床的故障部位,使得故障诊断的结果输出更加明确,帮助机床维修人员或者机床使用者快速维修数控机床,以减少因停机而带来的经济损失和不良影响,为实现智能化故障诊断打下技术基础。
[Abstract]:In view of the fact that the result output of NC machine tool fault diagnosis is only text or text mixed with picture at present, a research method of displaying 3D machine tool model and marking fault location based on Web is proposed. Based on the understanding of Obj 3D file format, the algorithm of extracting 3D file data and the algorithm of fault location parts and plane marking are put forward. Combined with the API function interface of Open GL, the 3D model is drawn in Active X control, which is used by Web. Rule or case output for fault diagnosis of CNC machine tools. In order to make maintainers or users interact with the 3D model through mouse on the web page, it is more convenient to mark or view the fault position of the NC machine tool, aiming at the optimization processing of the initial file with large amount of data, so that the maintainer or the user can operate the 3D model through the mouse on the web page. The result output of fault diagnosis is more definite and helps the maintenance personnel or the user of machine tool to maintain NC machine tool quickly so as to reduce the economic loss and bad effect caused by shutdown and lay the technical foundation for realizing intelligent fault diagnosis.
【作者单位】：同济大学机械与能源工程学院;
【基金】：国家科技重大专项项目(2011ZX04016-21)资助
【分类号】：TG659

【参考文献】