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철강 공정에서 계측 및 제어 장치들을 위한 동적 엔진들로 구성된 통합 소프트웨어 시스템 구조의 설계
신기영,유호 제어로봇시스템학회 2010 제어로봇시스템학회 국내학술대회 논문집 Vol.2010 No.5
Designing an integrated software system architecture with dynamic engines for instrumentation and control devices in iron and steel making factory is so important for enhancing the reusability, flexibility, and automotive adaptability of application software and numerical models controlling iron and steel making processes with dynamic environments that is changed from time to time when making quality iron & steel products. In this paper, we appeared an integrated software system with dynamic engines that are for measuring and controlling current or next-generation iron & steel making processes effectively.
시스템 엔지니어링 방식에 의한 철강 연속 주조 시스템 설계
신기영,홍대근,윤수철,서석환,Shin, Kee-Young,Hong, Dae Geun,Yoon, Soo Cheol,Suh, Suk-Hwan 한국시스템엔지니어링학회 2014 시스템엔지니어링학술지 Vol.10 No.2
Recently, global market competition of iron and steel products is ever increasing due to over-supply from increased number of industries in rapidly growing countries, such as China, Brazil, and Indonesia. To occupy the big market, major industries are trying to develop high quality, high performance steel products via developing a new iron and steel making process. In other words, development of a new and innovative steel plant is a key to cope with the tough situation. Design and development for the life cycle of iron and steel making plant is very much complex and multi-disciplinary. In this paper, Plant Systems Engineering (PSE), a tailored SE process for industrial plant based on ISO/IEC 15288 is used for the design of Continuous Casting Process (CCP) Plant system. The CCP is a crucial process in steel making plant, whose design technology is occupied by the advanced foreign companies. For the sake of increasing engineering capability for the design of CCP, we applied PSE Process for the renovation of the existing CCP Process. Through the study, we were convinced that the applied method can be used for other plant systems, and SE is really the way of thinking, design, and development of modern complex and multi-disciplinary systems where high risk factors are present throughout the whole life cycle.
철강 공정에서 압연 설비 이상 자동 감지를 위한 시스템 프레임워크 설계 및 개발
신기영 제어로봇시스템학회 2021 제어로봇시스템학회 국내학술대회 논문집 Vol.2021 No.6
This paper describes an anomaly detection system framework for rolling machines in iron and steel making processes. The system framework is called Smart Anomaly Detection System Framework (SADSF). The S-ASDF utilizes various artificial intelligence methods such as Mahalanobis Distance (MD), Principal Component Analysis (PCA), and Autoencoder, et al. In order to evaluate previously the fault conditions and indications of rolling machine in real time, the S-ASDF utilized a number of operation control data and sensing data aggregated from manufacturing operation lines. We successfully applied the S-ADSF into a real rolling machine process line. Operators can intuitively notice the condition and operation problems of rolling machines by using the HMI (Human-Machine Interface) of S-ASDF displaying various statistical condition signals and diagnosis results. Therefore, the operators can respond to potential rolling machine faults through the S-ASDF in advance.