As the 4th industrial revolution emerges, the implementation of smart factories are essential in the manufacturing industry. However, 80% of small and medium-sized enterprises that have introduced smart factories remain at the basic level. In addition, in root industries such as injection molding, PLC and HMI software are used to implement functions that simply show operation data aggregated by facilities in real time. This has limitations for managers to make decisions related to product production other than viewing data. This study presents a method for upgrading the level of smart factories to suit the reality of small and medium-sized enterprises. By monitoring the data collected from the facility, it is possible to determine whether there is an abnormal situation by proposing an appropriate algorithm for meaningful decision-making, and an alarm sounds when the process is out of control. In this study, the function of HMI has been expanded to check the failure frequency rate, facility time operation rate, average time between failures, and average time between failures based on facility operation signals. For the injection molding industry, an HMI prototype including the extended function proposed in this study was implemented. This is expected to provide a foundation for SMEs that do not have sufficient IT capabilities to advance to the middle level of smart factories without making large investments.

본 연구는 최신 텔레메틱스 제품의 사용성 평가 및 운전자 생체신호 변이의 분석을 통하여 제품 사용 및 정보서비스의 HMI(Human Machine Interface) 문제점과 개선사항을 도출함으로서 차세대 자동차의 운전자 정보 체계(DIS: Driver Information System)에 대한 HMI 설계의 G/L을 제시하기 위한 것으로, 다양한 평가방법과 실험을 통하여 운전자가 텔레메틱스 제품을 사용하는데 있어서의 주관적, 객관적 작업부하 및 불편요인을 도출하였다.