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An Implementation of DAQ and Monitoring System for a Smart Fish Farm Using Circulation Filtration System

  • Jeon, Joo Hyeon (Dept. of Information and Communications Engineering, Pukyong National University) ;
  • Lee, Na Eun (Dept. of Information and Communications Engineering, Pukyong National University) ;
  • Lee, Yoon Ho (Dept. of Information and Communications Engineering, Pukyong National University) ;
  • Jang, Jea Moon (Dept. of Information and Communications Engineering, Pukyong National University) ;
  • Joo, Moon Gab (Dept. of Information and Communications Engineering, Pukyong National University) ;
  • Yoo, Byung Hwa (Jang Hang Fish Farm) ;
  • Yu, Jae Do (Jang Hang Fish Farm)
  • Received : 2020.02.04
  • Accepted : 2020.04.26
  • Published : 2021.12.31

Abstract

A data acquisition and monitoring system was developed for an automated system of a smart fish farm. The fish farm is located in Jang Hang, South Korea, and was designed as circulation filtration system. Information of every aquaculture pool was automatically measured by pH sensors, dissolved oxygen sensors, and water temperature sensors and the data were stored in the database in a remoted server. Modbus protocol was used for gathering the data which were further used to optimize the pool water quality to predict the rate of growth and death of fish, and to deliver food automatically as planned by the fish farmer. By using JSON protocol, the collected data was delivered to the user's PC and mobile phone for analysis and easy monitoring. The developed monitoring system allowed the fish farmers to improve fish productivity and maximize profits.

Keywords

Acknowledgement

This research was supported by the Korea Institute of Marine Science & Technology (KIMST) (No. 20180352).

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