Recently, Smart Factory is rapidly being introduced with the aim of improving global manufacturing competitiveness thanks to government support. In the case of existing cloud-based smart factory significant insight information is produced through processing, storage, integration, and analysis processes within the cloud after data generated from production lines transferred to the cloud. The insight has been used to improve process, quality, and eliminate wastes in the factory. However, there has been some difficulties such as increased network delays and data transfer costs. Furthermore, the large impact of a single fault failure in the cloud on the entire system operation remains as unresolved risks. Above all, there has been a negative issue on spreading smart factories regarding the fact that sensitive information, such as device control and status generated during the manufacturing process, are all moved to the cloud which is outside the scope of the company's management. As a result, Edge Computer is attracting attention as one of its solutions. Edge Computer collects and pre-processes data generated in the manufacturing process in real time, quickly providing insight information on the spot through built-in Analytic function, without the help of the cloud. This overcomes the shortcomings of the cloud-based system and results in mutual benefits to cloud system and edge computer. In this paper, we present various types of topologies on how these Edge computers can be utilized within various smart factory system structures and consider its advantages and disadvantages and utility value.
목차
Abstract I. 서론 II. 본론 1. 직렬 연결형 2. 직접 연결형 3. 병렬 연결형 4. 통합형 III. 결론 감사의 글 [참고문헌]
키워드
Smart FactoryEdge ComputerOTITTopology
저자
박우진 [ Woo-Jin Park | LS ELECTRIC 자동화솔루션연구소 Associate Manager ]
교신저자
유태윤 [ Tae-Yoon Yu | LS ELECTRIC 자동화솔루션연구소 Manager ]
최승우 [ Seung-Woo Choi | LS ELECTRIC 자동화솔루션연구소 Senior Manager ]
유영규 [ Young-Gyu Yu | LS ELECTRIC 자동화솔루션연구소 Senior Manager ]
이정준 [ Jeong-Joon Lee | LS ELECTRIC 자동화솔루션연구소장(자동화CTO) ]