Journal of the Korean Society of Manufacturing Process Engineers (한국기계가공학회지)

The Korean Society of Manufacturing Process Engineers (한국기계가공학회)
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Big Data Analysis on Oyster Growth and FLUPSY Environment

개체굴 성장 데이터와 양식 FLUPSY 환경 데이터의 빅 데이터 분석

  • 유현주 (동의대학교 산업기술개발연구소) ;
  • 장성욱 (동의대학교 자동차공학과) ;
  • 정선진 ((주)씨뱅크)
  • Received : 2020.06.18
  • Accepted : 2020.07.05
  • Published : 2020.07.31
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Abstract

In the era of the fourth industrial revolution, the application of big data analysis technology is crucial in various industries. In this regard, considerable research is necessary to improve aquafarming productivity, particularly in fish culture, which is one of the primary industries in the world. In this study, a sample experiment using a flop was conducted to improve oyster productivity in fish farms, and a flush was installed in an environment similar to aquaculture farms. Thereafter, the temperature data of the water environment where the formation of burrows considerably improved were collected; the growth rate of burrow seeds was also measured. The gathered experimental data were examined by time series data analysis. Finally, a system that visualizes the analysis results based on big data is proposed. In accord with the results of this study, it is expected that more advanced research on the productivity improvement of oyster aquafarming will be performed.

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References

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