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스마트팩토리를 위한 데이터 수집 관리 프로그램 개발

김현진, 김진사

Data Collection Management Program for Smart Factory

Hyeon-jin Kim, Jin-sa Kim
J Electr Electron Mater 2022;35(5):509-515.
Published online: September 1, 2022
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As the 4th industrial revolution based on ICT is progressing in the manufacturing field, interest in building smart factories that can be flexible and customized according to customer demand is increasing. To this end, it is necessary to maximize the efficiency of factory by performing an automated process in real time through a network communication between engineers and equipment to be able to link the established IT system. It is also necessary to collect and store real-time data from heterogeneous facilities and to analyze and visualize a vast amount of data to utilize necessary information. Therefore, in this study, four types of controllers such as PLC, Arduino, Raspberry Pi, and embedded system, which are generally used to build a smart factory that can connect technologies such as artificial intelligence (AI), Internet of Things (IoT), and big data, are configured. This study was conducted for the development of a program that can collect and store data in real time to visualize and manage information. For communication verification by controller, data communication was implemented and verified with the data log in the program, and 3D monitoring was implemented and verified to check the process status such as planned quantity for each controller, actual quantity, production progress, operation rate, and defect rate.

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Data Collection Management Program for Smart Factory
J Electr Electron Mater. 2022;35(5):509-515.   Published online September 1, 2022
Download Citation

Download a citation file in RIS format that can be imported by all major citation management software, including EndNote, ProCite, RefWorks, and Reference Manager.

Format:
Include:
Data Collection Management Program for Smart Factory
J Electr Electron Mater. 2022;35(5):509-515.   Published online September 1, 2022
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