ETRI-Knowledge Sharing Plaform

ENGLISH

성과물

논문 검색
구분 SCI
연도 ~ 키워드

상세정보

학술대회 Data Stream Management for Distributed Devices in Smart Factory
Cited 0 time in scopus Download 0 time Share share facebook twitter linkedin kakaostory
저자
이양구, 이준욱, 이승준, 윤대섭
발행일
202010
출처
International Conference on Information and Communication Technology Convergence (ICTC) 2020, pp.1574-1576
DOI
https://dx.doi.org/10.1109/ICTC49870.2020.9289625
협약과제
19PR2300, 제조 및 물류처리 최적화를 위한 IIoT 및 분산제어 플랫폼 기술 개발, 윤대섭
초록
The distributed smart factory platform provides an environment where various devices deployed in the factory can perform intelligent collaboration while horizontally interacting with the devices around them. This requires individual devices to be able to process and manage their own data stream collected in the shop floor. In this paper, we focus on building a system for efficiently managing data generated in a smart factory environment, and propose a data stream management structure to support it. In the proposed approach, sliding window and continuous query processing mechanisms are introduced to immediately process various types of data stream collected from devices at the time of occurrence. In addition, we propose a strategy to store processed historical data in local database by introducing temporal approach.
키워드
data stream, edge computing, material handling, smart factory, temporal approach
KSP 제안 키워드
Continuous query processing, Distributed devices, Factory environment, Historical data, Intelligent collaboration, Local database, Material handling, Sliding Window, Smart Factory, data stream management, edge computing