Application of Cloud Computing in Intelligent Machine Tool Control System

被引：4
|
作者：
Huang Y. [1 ,2 ]
Lu B. [1 ]
Zhao W. [1 ]
机构：
[1] State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiao Tong University, Xi'an
[2] Department of Information Engineering, Armed Police Engineering University, Xi'an
来源：
Jixie Gongcheng Xuebao/Journal of Mechanical Engineering | 2018年 / 54卷 / 08期
关键词：
Cloud computing; Cloud control system; Control system; Intelligent machine tool;
D O I：
10.3901/JME.2018.08.210
中图分类号：
学科分类号：
摘要：
Based on the analysis of the development and the existing problems of the machine tool control system, the combination between the concept of cloud computing and CNC machine tools intelligent control is an effective way to solve the problem. In view of the application situation of cloud computing in the manufacturing industry in domestic and foreign, it is concluded that the idea of designing and adjusting the machine tool control system based on cloud computing is innovative, which can be relied on the essential characteristics of cloud computing to build a novel open control structure with the basic characteristics of cloud computing, therefore the computing power can be configured according to the calculation pressure, that can be met the overall trend of intelligent machine. The concept of intelligent machine tool cloud control system is proposed, and its connotation is analyzed. Combined with the cloud computing architecture, the idea of hierarchical, task and data flow control is proposed. Finally, the overall structure of the intelligent machine tool cloud control system is designed, and the detailed implementation method of the intelligent machine tool cloud control system is analyzed and decomposed according to the overall framework. A general idea for further analysis of the computational power is provided, such as storage capacity, machining accuracy of NC machine tools in this control architecture, that can be verified the feasibility and characteristics of the designed scheme. Therefore, the research results can provide a certain methodology to solve the problems of system integration, large data processing, calculation speed and accuracy, and the openness of intelligent machine tools. © 2018 Journal of Mechanical Engineering.
引用
收藏
页码：210 / 216
页数：6
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