Building cyber-physical system(CPS) models of machine tools is a key technology for intelligent manufacturing. The massive electronic data from a computer numerical control(CNC) system during the work processes of a C...Building cyber-physical system(CPS) models of machine tools is a key technology for intelligent manufacturing. The massive electronic data from a computer numerical control(CNC) system during the work processes of a CNC machine tool is the main source of the big data on which a CPS model is established. In this work-process model, a method based on instruction domain is applied to analyze the electronic big data, and a quantitative description of the numerical control(NC) processes is built according to the G code of the processes. Utilizing the instruction domain, a work-process CPS model is established on the basis of the accurate, real-time mapping of the manufacturing tasks, resources, and status of the CNC machine tool. Using such models, case studies are conducted on intelligent-machining applications, such as the optimization of NC processing parameters and the health assurance of CNC machine tools.展开更多
提出一个数据流反馈调度框架(Feedback scheduling framework for data flow,FSF-DF),该调度框架可以预防因数据流中断而导致全软件数控系统加工时间延长与加工质量降低的现象。FSF-DF在数据流上的缓存中设置溢出警戒线,并实时地监测缓...提出一个数据流反馈调度框架(Feedback scheduling framework for data flow,FSF-DF),该调度框架可以预防因数据流中断而导致全软件数控系统加工时间延长与加工质量降低的现象。FSF-DF在数据流上的缓存中设置溢出警戒线,并实时地监测缓存中的数据量是否超出溢出警戒线,以此判断数据流是否有发生数据中断的危险。在数据流将要中断时,调整相关任务的执行频率和优先级,以维持数控系统的稳定性。利用马尔可夫链等统计方法降低执行频率的调整次数,使得FSF-DF具有较低的系统开销。通过建立包括监视器、控制器与基本调度器在内的动态反馈调度框架,使得任务执行频率与优先级的调整规则能够有效地集成在实时操作系统中。在实时操作系统RTAI中实现了FSF-DF,并验证它的有效性。试验结果表明,数据流反馈调度框架可以有效地预防数控系统中的数据流中断现象,能够提高数控系统的整体性能与加工速度。展开更多
基金support of the studies is from the National Major Scientific and Technological Special Project for "Development and comprehensive verification of complete products of open high-end CNC system, servo device and motor" (2012ZX04001012)
文摘Building cyber-physical system(CPS) models of machine tools is a key technology for intelligent manufacturing. The massive electronic data from a computer numerical control(CNC) system during the work processes of a CNC machine tool is the main source of the big data on which a CPS model is established. In this work-process model, a method based on instruction domain is applied to analyze the electronic big data, and a quantitative description of the numerical control(NC) processes is built according to the G code of the processes. Utilizing the instruction domain, a work-process CPS model is established on the basis of the accurate, real-time mapping of the manufacturing tasks, resources, and status of the CNC machine tool. Using such models, case studies are conducted on intelligent-machining applications, such as the optimization of NC processing parameters and the health assurance of CNC machine tools.
文摘提出一个数据流反馈调度框架(Feedback scheduling framework for data flow,FSF-DF),该调度框架可以预防因数据流中断而导致全软件数控系统加工时间延长与加工质量降低的现象。FSF-DF在数据流上的缓存中设置溢出警戒线,并实时地监测缓存中的数据量是否超出溢出警戒线,以此判断数据流是否有发生数据中断的危险。在数据流将要中断时,调整相关任务的执行频率和优先级,以维持数控系统的稳定性。利用马尔可夫链等统计方法降低执行频率的调整次数,使得FSF-DF具有较低的系统开销。通过建立包括监视器、控制器与基本调度器在内的动态反馈调度框架,使得任务执行频率与优先级的调整规则能够有效地集成在实时操作系统中。在实时操作系统RTAI中实现了FSF-DF,并验证它的有效性。试验结果表明,数据流反馈调度框架可以有效地预防数控系统中的数据流中断现象,能够提高数控系统的整体性能与加工速度。
