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@article{ART002935572},
author={HongJoong, Kim and Kim Jong Min and 강태형 and Ryu Gab Sang},
title={Self-diagnosis Algorithm for Water Quality Sensors Based on Water Quality Monitoring Data},
journal={Journal of Internet of Things and Convergence},
issn={2466-0078},
year={2023},
volume={9},
number={1},
pages={41-47},
doi={10.20465/KIOTS.2023.9.1.041}

TY - JOUR
AU - HongJoong, Kim
AU - Kim Jong Min
AU - 강태형
AU - Ryu Gab Sang
TI - Self-diagnosis Algorithm for Water Quality Sensors Based on Water Quality Monitoring Data
JO - Journal of Internet of Things and Convergence
PY - 2023
VL - 9
IS - 1
PB - The Korea Internet of Things Society
SP - 41
EP - 47
SN - 2466-0078
AB - Today, due to the increase in global population growth, the international community is discussing solving the food problem. The aquaculture industry is emerging as an alternative to solving the food problem. For the innovative growth of the aquaculture industry, smart fish farms that combine the fourth industrial technology are recently being distributed, and full-cycle digitalization is being promoted. Water quality sensors, which are important in the aquaculture industry, are electrochemical portable sensors that check water quality individually and intermittently, making it impossible to analyze and manage water quality in real time. Recently, optically-based monitoring sensors have been developed and applied, but the reliability of monitoring data cannot be guaranteed because the state information of the water quality sensor is unknown. Therefore, this paper proposes an algorithm representing self-diagnosis status such as Failure, Out of Specification, Maintenance Required, and Check Function based on monitoring data collected by water quality sensors to ensure data reliability.
KW - Water quality;Self-diagonsis;Dissolved oxygen;Water quality;Platform
DO - 10.20465/KIOTS.2023.9.1.041
ER -

HongJoong, Kim, Kim Jong Min, 강태형 and Ryu Gab Sang. (2023). Self-diagnosis Algorithm for Water Quality Sensors Based on Water Quality Monitoring Data. Journal of Internet of Things and Convergence, 9(1), 41-47.

HongJoong, Kim, Kim Jong Min, 강태형 and Ryu Gab Sang. 2023, "Self-diagnosis Algorithm for Water Quality Sensors Based on Water Quality Monitoring Data", Journal of Internet of Things and Convergence, vol.9, no.1 pp.41-47. Available from: doi:10.20465/KIOTS.2023.9.1.041

HongJoong, Kim, Kim Jong Min, 강태형, Ryu Gab Sang "Self-diagnosis Algorithm for Water Quality Sensors Based on Water Quality Monitoring Data" Journal of Internet of Things and Convergence 9.1 pp.41-47 (2023) : 41.

HongJoong, Kim, Kim Jong Min, 강태형, Ryu Gab Sang. Self-diagnosis Algorithm for Water Quality Sensors Based on Water Quality Monitoring Data. 2023; 9(1), 41-47. Available from: doi:10.20465/KIOTS.2023.9.1.041

HongJoong, Kim, Kim Jong Min, 강태형 and Ryu Gab Sang. "Self-diagnosis Algorithm for Water Quality Sensors Based on Water Quality Monitoring Data" Journal of Internet of Things and Convergence 9, no.1 (2023) : 41-47.doi: 10.20465/KIOTS.2023.9.1.041

HongJoong, Kim; Kim Jong Min; 강태형; Ryu Gab Sang. Self-diagnosis Algorithm for Water Quality Sensors Based on Water Quality Monitoring Data. Journal of Internet of Things and Convergence, 9(1), 41-47. doi: 10.20465/KIOTS.2023.9.1.041

HongJoong, Kim; Kim Jong Min; 강태형; Ryu Gab Sang. Self-diagnosis Algorithm for Water Quality Sensors Based on Water Quality Monitoring Data. Journal of Internet of Things and Convergence. 2023; 9(1) 41-47. doi: 10.20465/KIOTS.2023.9.1.041

HongJoong, Kim, Kim Jong Min, 강태형, Ryu Gab Sang. Self-diagnosis Algorithm for Water Quality Sensors Based on Water Quality Monitoring Data. 2023; 9(1), 41-47. Available from: doi:10.20465/KIOTS.2023.9.1.041

HongJoong, Kim, Kim Jong Min, 강태형 and Ryu Gab Sang. "Self-diagnosis Algorithm for Water Quality Sensors Based on Water Quality Monitoring Data" Journal of Internet of Things and Convergence 9, no.1 (2023) : 41-47.doi: 10.20465/KIOTS.2023.9.1.041