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앙상블 인공지능 모델을 활용한 안전관리 자율운영 플랫폼 설계Safety Autonomous Platform Design with Ensemble AI Models

Other Titles
Safety Autonomous Platform Design with Ensemble AI Models
Authors
이동엽임대식우수정문영호김민정이준원
Issue Date
Feb-2024
Publisher
한국항행학회
Keywords
Autonomous platform; Ensemble AI; Safety management; Power industry; Safety rule.
Citation
한국항행학회논문지, v.28, no.1, pp 159 - 162
Pages
4
Journal Title
한국항행학회논문지
Volume
28
Number
1
Start Page
159
End Page
162
URI
https://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/49306
DOI
10.12673/jant.2024.28.1.159
ISSN
1226-9026
Abstract
This paper proposes a novel safety autonomous platform (SAP) architecture that can automatically and precisely manage on-site safety through ensemble artificial intelligence models generated from video information, worker’s biometric information, and the safety rule to estimate the risk index. We practically designed the proposed SAP architecture by the Hadoop ecosystem with Kafka/NiFi, Spark/Hive, Hue, ELK (Elasticsearch, Logstash, Kibana), Ansible, etc., and confirmed that it worked well with safety mobility gateways for providing various safety applications.
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Lee, Joon Won
Graduate School (Graduate School of Safety Convergence)
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