중소제조공장을 위한 제조데이터 분석 플랫폼의 모바일 HW 유저 인터페이스 연구

초록

A Manufacturing Data Analysis Platform(MDAP), which collects, analyzes, and provides manufacturing process data by installing IoT (Internet of Things) on facilities and machines in factories, is also one of the components of digital transformation for smart factories. Large enterprise manufacturing plants are already accelerating the introduction of these platforms, but SMEs’ manufacturing plants are still less accessible. As the equipment in SMEs cannot accumulate mass production records like large corporations, it is possible to analyze only when the state data of the same equipment in other plants is accumulated as big data. Data should be accumulated through online, not the internal network. Therefore, various studies related to a common platform for analyzing manufacturing data of SMEs are being conducted. However, this analysis platform is focused only on the provision through the PC screen. There is not enough research on mobile. Therefore, this study intends to propose a mobile device that considers the situation of SMEs and a hardware interface suitable for it when providing data analyzed by MDAP to users. The method of study is as follows. First, after researching prior studies, an MDAP was defined. The second is field research, which received information about the system configuration and workflow of the platform currently being developed through interviews with developers of the platform manufacturers in SMEs. And we classified users who use this platform. In addition, through the in-depth interviews with each user group, a method of an interface required and a device type suitable were derived. Lastly, heuristics were conducted with observational analysis based on Jacob Nielsen’s evaluation principle for the device to be proposed. As a result of the research, inside manufacturing plants often cannot use smartphones in the factory due to noise, vibration, security, etc., so a wearable device for efficient transmission and reception in addition to a smartphone is needed in a smart factory environment. Accordingly, a mobile device is recommended along with a PLC monitor and a computer monitor. And we devised a wearable smart bone conduction wireless earphone and proposed to use it. Wearable smart bone conduction wireless earphones make it easier and more intuitive to use, and a voice-based chatbot, an interactive interface suitable for artificial intelligence, can be used as a hub to ask and answer without specialized knowledge. This method is a more accessible environment that considers information vulnerable groups than existing complex and difficult visualization concepts, and it is possible to provide customized information according to user types. This study is a study on mobile hardware devices to increase the usability of the MDAP and intends to increase usability when commercializing the MDAP using big data in the future. Through this, it is meaningful to contribute to the successful establishment of a smart factory in SMEs.

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