Intelligent Machine Tool Based on Edge-Cloud Collaboration

Ping Lou,Shiyu Liu,Zheng Xiao,Jianmin Hu,Junwei Yan,Ruiya Li

doi:10.1109/access.2020.3012829

Ping Lou, Shiyu Liu + Show 4 more

Open Access

https://doi.org/10.1109/access.2020.3012829

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Abstract

As a key equipment of manufacturing, the intelligence of CNC machine tools affects the development and progress of intelligent manufacturing. At the same time, the rapid development of various technologies in recent years, such as cloud computing and edge computing, has brought new methods to improve the intelligence of CNC machine tools. This article proposes a new architecture of intelligent machine tools based on edge-cloud collaboration (IMT-ECC). The hierarchical structure of IMT-ECC is introduced and consists of three layers, data acquisition, network communication and edge-cloud collaboration. Combining the real-time characteristic of edge computing and complex problem processing ability of cloud computing, the edge-cloud collaboration is designed to improve the intelligence of machine tools through data collaboration, information collaboration and knowledge collaboration. Finally, the feasibility of the new intelligent machine tool architecture based on edge-cloud collaboration is verified by experiments with gantry heavy-duty CNC machine tools.

Highlights

With the continuous growth of national economy and the continuous innovation of science and technology, the development of machinery manufacturing industry has achieved a qualitative leap
Most CNC machine tools in the industry have obvious disadvantages in terms of status perception, information interaction, data processing and real-time feedback [3]. All these characteristics are required by the intelligent manufacturing industry
WORK This article proposes a new intelligent machine tool architecture based on edge-cloud collaboration

Summary

Introduction

With the continuous growth of national economy and the continuous innovation of science and technology, the development of machinery manufacturing industry has achieved a qualitative leap. It can improve the deficiencies of CNC machine tools in status perception, information interaction, data processing and real-time feedback. The collaboration of cloud computing and edge computing enables machine tools to self-perceive and self-process, self-decision and self-control.

Results

Conclusion