The Journal of the Korea institute of electronic communication sciences (한국전자통신학회논문지)

Korea Institute of Electronic Communication Science (한국전자통신학회)
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Development of Data Visualization Tools for Land-Based Fish Farm Big Data Analysis System

육상 양식장 빅데이터 분석 시스템 개발을 위한 데이터 시각화 도구 개발

  • Seoung-Bin Ye ;
  • Jeong-Seon Park ;
  • Hyi-Thaek Ceong ;
  • Soon-Hee Han (Dept. of Multimedia, Chonnam Nat. Univ.)
  • 예성빈 (전남대학교 디지털컨버전스협동과정) ;
  • 박정선 (전남대학교 문화콘텐츠학부) ;
  • 정희택 (전남대학교 문화콘텐츠학부) ;
  • 한순희 (전남대학교 문화콘텐츠학부)
  • Received : 2024.06.27
  • Accepted : 2024.07.25
  • Published : 2024.08.31
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Abstract

Currently, land-based fish farms utilizing seawater have introduced and are utilizing various equipment such as real-time water quality monitoring systems, facility automation systems, and automated dissolved oxygen supply devices. Furthermore, data collected from various equipment in these fish farms produce structured and unstructured big data related to water quality environment, facility operations, and workplace visual information. The big data generated in the operational environment of fish farms aims to improve operational and production efficiency through the development and application of various methods. This study aims to develop a system for effectively analyzing and visualizing big data produced from land-based fish farms. It proposes a data visualization process suitable for use in a fish farm big data analysis system, develops big data visualization tools, and compares the results. Additionally, it presents intuitive visualization models for exploring and comparing big data with time-series characteristics.

현재 해수를 이용하는 육상 양식장에서는 실시간 수질 모니터링 및 시설 자동화 시스템, 용존산소 자동 공급장치 등 다양한 장비를 도입하여 사용하고 있다. 또한 양식장의 다양한 장비에서 수집되는 데이터는 수질 환경, 시설 운영, 작업장 영상정보 등 정형, 비정형 형태의 빅데이터를 생산한다. 양식장 운영 환경에서 생산되는 빅데이터는 운영 및 생산 효율 개선을 목표로 다양한 방법을 개발하고 적용을 시도하고 있다. 본 연구에서는 육상 양식장에서 생산되는 빅데이터를 효과적으로 분석하고 시각화하기 위한 시스템을 개발하는 것을 목표로, 양식장 빅데이터 분석 시스템에서 활용이 가능한 데이터 시각화 프로세스를 제시하고 빅데이터 시각화 도구를 개발하고 결과를 비교한다. 그리고 시계열 특성을 가지는 빅데이터의 비교 및 탐색이 직관적인 시각화 모델을 제시한다.

Keywords

Acknowledgement

본 논문은 2024년 해양수산부 재원으로 해양수산과학기술진흥원의 지원을 받아 수행된 연구임(스마트수산양식연구센터)

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