返回
Fog Computing-Based Cyber-Physical Machine Tool System
DOI:10.1109/ACCESS.2018.2863258.png)
摘要
En 中文
As one kind of significant manufacturing equipment, computer numerical control (CNC) machine tools have to be endowed with new functions to meet the requirements of processing devices in the era of Industry 4.0. Inter-connection and intelligence are the fundamental characteristics of CNC machine tools in this era. To make CNC machine tools be more accessible and promote them to a higher level of intelligence, this paper presents a new architecture of CNC machine tools based on a cyber-physical system and fog computing, named as a fog computing-based cyber-physical machine tool system (FC-CPMTS). The definition, functions, and hierarchical structure of the FC-CPMTS are described respectively. CNC machine tools, cyber space, and human beings are connected closely through sensing, computing, communicating, and controlling in the FC-CPMTS. The application of fog computing enhances autonomy and collaboration of CNC machine tools. It also reduces network traffic and calculation workload of the cloud platform in the FC-CPMTS. To demonstrate the rationality and feasibility of the FC-CPMTS, an FC-CPMTS for a heavy-duty CNC machine tool is taken as a case study. The result shows that autonomy, intelligence, interconnection, and interoperability of the CNC machine tool are improved.
Keyword:
CNC machine tool
cyber-physical system (CPS)
fog computing
cloud computing
AI总结
对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
3.6
论文数:
9.8W
被引数:
29.4W
机构
引用论文
CPS Modeling of CNC Machine Tool Work Processes Using an Instruction-Domain Based Approach
ENGINEERING
IF11.6
Cyber physical systems security: Analysis, challenges and solutions网络物理系统安全: 分析、挑战和解决方案
COMPUTERS & SECURITY
IF5.4
An intelligent value stream-based approach to collaboration of food traceability cyber physical system by fog computing基于智能价值流的食品溯源网络物理系统雾计算协同方法
FOOD CONTROL
IF6.3
Digital Twin and Big Data Towards Smart Manufacturing and Industry 4.0: 360 Degree Comparison面向智能制造和工业4.0的数字孪生和大数据: 360度比较
IEEE ACCESS
IF3.6

