以智能机床的控制体系为着眼点，通过分析机床控制系统的发展及所存在问题，提出将云计算的概念与数控机床智能控制相结合是解决问题的有效途径。针对国内外云计算在制造业的应用现状，分析得出以云计算为基础设计和调整机床控制体系这一研究思路，具有一定的创新性，可以依靠云计算的本质特点，构建一种新颖的、具备云计算基本特点的开放式控制结构，根据计算的压力来对计算能力进行配置，符合机床智能化的总体趋势。研究提出智能机床云控制体系的概念，剖析其内涵，并结合云计算架构，给出控制体系设计可采取分层级、任务化、数据流控制的思路。最后，设计智能机床云控制体系的总体结构，并研究将智能机床云控制体系的进行分解而后依据总体框架汇总的具体实施方法。研究结果为进一步分析在这种控制架构下，数控系统的计算能力、存储能力、数控机床的加工精度等内容，用以验证设计方案的可行性及特点提供了总体构想。因此，研究结果可以为解决智能机床的系统集成、大数据处理、计算速度和精度以及开放性问题提供一定的方法论。
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.
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