Abstract

Smart factories have made great progress with the development of various ICT technologies, such as IoT, big data, and artificial intelligence. The recent development of smart factory technology has shown results in automation and data acquisition and processing. However, it still has incomplete points to be converted to advanced technology, including intelligence. For intelligentization, there is a need to propose a new research method in addition to the previous methodologies. Considering the specificity of the factory, the data structure and methodology of the Semantic Web can be effective. Therefore, in this study, a smart factory was designed by the convergence of monitoring technology, autonomous control technology, and semantic web technologies. Based on the proposed methodology, a methodology for the autonomous control of a smart factory on a digital twin was designed.

Highlights

  • Industries in major countries have shifted from a labor-intensive production structure to a knowledge-intensive structure

  • Industry 4.0 is a paradigm that has evolved into a smart factory or an intelligent factory in the traditional manufacturing industry [2]

  • The complexity of a smart factory has increased significantly due to changes in the market according to the various needs of consumers, development of cyber-physical systems (CPS), Internet of things (IoT), wireless communication technologies, and so on [3]

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Summary

Introduction

Industries in major countries have shifted from a labor-intensive production structure to a knowledge-intensive structure. Competition for product performance and quality is intensifying Korean manufacturing industries, such as semiconductors, automobiles, and mobiles, use standardized communication technologies to respond immediately to customer changes and prepare measures for mass production of various types [1]. The complexity of a smart factory has increased significantly due to changes in the market according to the various needs of consumers, development of cyber-physical systems (CPS), Internet of things (IoT), wireless communication technologies, and so on [3]. Services such as communication, banking, and shopping provided by companies have been fused with information and communication technology. It is essential to develop technology for solving problems that occur during operation [5,6]

Contribution
Paper Organization
Communication Middleware Technology Trend for Smart Factory
The Need for MTConnect
MTConnect
Traditional Autonomous Computing Technology Trends
Semantic Web
Design of Semantic Factory
Conclusions

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