염색가공 산업의 에너지 효율화를 위한 제조현장 빅데이터 활용에 관한 연구 (A Study on Utilization of Manufacturing Big Data for Energy Efficiency of Dyeing-Finishing Industry)

서지정보

· 발행기관 : 한국CDE학회
· 수록지 정보 : 한국CDE학회 논문집 / 22권 / 4호 / 435 ~ 444페이지
· 저자명 : 박규태, 양석곤, 박희진, 조문빈, 강용신, 노상도, 김동현, 최수영, 강용태

초록

The manufacturing industry has been actively adapting ICT (Information and Communication Technology) into the field with keywords such as 4th industrial revolution. Due to collecting information and data analytics technologies, products, machines and process in the traditional manufacturing industry have become smart. In the textile industry, an efficiency in a dyeing process greatly depends on energy usage. Thus, researchers in dyeing-finishing factories focus on energy efficiency in this area. They have been trying to make energy efficient through various experiments, but haven’t achieved remarkable result due to various problems on the site.
Therefore, we collect manufacturing big data and try to improve energy efficiency based on the collected data. In this paper, we consider a method to improve the energy efficiency in dyeing process using manufacturing big data. We propose a way to achieve energy efficiency in the dyeing process with lower energy usage and repeated dyeing. As a result of this paper, it is suggested that dyeing process should be instructed and controlled based on the significant variables and learning model when energy efficiency is to be utilized by using manufacturing big data. We also verify the feasibility of this argument through a case study using ANN.

영어초록

The manufacturing industry has been actively adapting ICT (Information and Communication Technology) into the field with keywords such as 4th industrial revolution. Due to collecting information and data analytics technologies, products, machines and process in the traditional manufacturing industry have become smart. In the textile industry, an efficiency in a dyeing process greatly depends on energy usage. Thus, researchers in dyeing-finishing factories focus on energy efficiency in this area. They have been trying to make energy efficient through various experiments, but haven’t achieved remarkable result due to various problems on the site.
Therefore, we collect manufacturing big data and try to improve energy efficiency based on the collected data. In this paper, we consider a method to improve the energy efficiency in dyeing process using manufacturing big data. We propose a way to achieve energy efficiency in the dyeing process with lower energy usage and repeated dyeing. As a result of this paper, it is suggested that dyeing process should be instructed and controlled based on the significant variables and learning model when energy efficiency is to be utilized by using manufacturing big data. We also verify the feasibility of this argument through a case study using ANN.

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