Abstract
This study proposes an integrated monitoring system for data reliability improvement in a steel manufacturing industry. The data obtained from existing steel manufacturing process is not micro data which is gathered at the occurring point, but average value (macro data) which is gathered from the occurring point to ending point. This kind of macro data is not only difficult for a detailed analysis for an error causing factor, but it might cause a fatal influence as well on the quality of produced goods even if the error is within an error tolerance. And during the process of steel production, thousands of data is produced in a second, thus requiring database plan to manage abundant amount of data. Therefore, the following proposed system is capable of collecting as well as analyzing all the data generated from the process of product production. And the system was able to raise the efficiency of the database server by planning the database to handle large capacity data. Also, by applying web-based technology, inquiries and analysis of data with no limit on time and space was possible with PC connected to the intranet. Hence, the system was able to work on effective quality improvement of manufactured products, plus able to raise the reliability of the product. Also, accumulated data from long period of time was used for fundamental material for new controlling model, operation technology, and new product development.
본 연구는 철강제조 분야에서 제품 생산 중 발생하는 모든 데이터를 실시간으로 수집하여 데이터베이스화하고, 웹 기반 시스템을 구축함으로써 시간과 장소의 제약 없이 필요 데이터를 조회, 분석할 수 있는 시스템 개발에 대한 연구이다. 본 시스템의 구축 결과, 실시간으로 데이터의 조회 및 분석이 가능하게 됨으로써 생산 제품에 대한 보다 효율적인 품질개선 활동이 가능하게 되었고, 제품의 신뢰도를 높일 수 있게 되었다. 또한 장기간 누적된 데이터를 데이터베이스화하고 그것을 통계적으로 분석 가능하게 함으로써 새로운 제어모델의 개발과 조업기술의 개발이 보다 용이하게 되었고, 신제품 개발의 기초자료로도 활용할 수 있게 되었다.