중소 제조공장을 위한 제조데이터 분석 플랫폼의 모바일 SW 인터페이스 연구

Abstract

Background: Although researches on algorithms, programming languages, and data analysis techniques for manufacturing data analysis platform(MDAP), which applies big data and artificial intelligence analysis techniques, is active, research on the interface is still insufficient. MDAP's manufacturing data output is still dependent on monitors. Also, the information visualized in graphs or diagrams is not intuitive, so it is not easy enough to analyze without trained staff. Small and medium-sized enterprises(SMEs) struggle not only with technical issues but also with costs when adopting the platform. Therefore, this study intends to propose an interface that is intuitive and highly accessible so that MDAP for SMEs can be operated without dedicated staff. Methods: In this study, we first researched the smart factory and its data collection and analysis system, also considered prior studies related to the interface of the IoT platform. Next, the interface types according to the output devices were analyzed. Also, the method and the structure of mobile interfaces are suggested in the form of a user-customized interface and an interactive interface, chatbot. Finally, the heuristics of experts were conducted and verified. Result: As a result of the study, we proposed the mobilization of MDAP and presented an interface format that can actively utilize artificial intelligence platforms. The interface using the monitor follows the existing graph or list format, while the mobile interface proposes a custom interface and an interactive interface to increase portability, intuitiveness, and accessibility. The customized interface was configured to be classified according to the situation and work type, and the interactive interface was configured to be able to communicate through push notifications and to use text-based chatbots and voice-based chatbots together. Conclusion: This study aims to improve the MDAP usability of small and medium-sized manufacturing plants and promote its introduction. Also, it aims to promote smartization by providing customized interfaces to small and medium-sized manufacturing plants.