Integrated Intelligent Platform for Deep-sea Fishery and Aquaculture Based on the Internet of Things

Huiqi Cao; Shuwen Wang; Wenzhong Li; Shiying Gu

doi:10.47297/wspciWSP2516-252730.20220604

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Integrated Intelligent Platform for Deep-sea Fishery and Aquaculture Based on the Internet of Things

6卷第4期

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Integrated Intelligent Platform for Deep-sea Fishery and Aquaculture Based on the Internet of Things
Integrated Intelligent Platform for Deep-sea Fishery and Aquaculture Based on the Internet of Things
School of Electronics and Electrical Engineering, Lingnan Normal University, Zhanjiang City,Guangdong Province,524048
2022年6卷第4期页码：132-139
纸质出版日期： 2022 ，
DOI：10.47297/wspciWSP2516-252730.20220604
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(2022). Integrated Intelligent Platform for Deep-sea Fishery and Aquaculture Based on the Internet of Things. 创意与创新（英文版）, 6(4), 132-139.

HUIQI CAO, SHUWEN WANG, WENZHONG LI & SHIYING GU. (2022). Integrated Intelligent Platform for Deep-sea Fishery and Aquaculture Based on the Internet of Things. Creativity and Innovation, 6(4), 132-139..
(2022). Integrated Intelligent Platform for Deep-sea Fishery and Aquaculture Based on the Internet of Things. 创意与创新（英文版）, 6(4), 132-139. DOI： 10.47297/wspciWSP2516-252730.20220604.

HUIQI CAO, SHUWEN WANG, WENZHONG LI & SHIYING GU. (2022). Integrated Intelligent Platform for Deep-sea Fishery and Aquaculture Based on the Internet of Things. Creativity and Innovation, 6(4), 132-139.. DOI： 10.47297/wspciWSP2516-252730.20220604.

摘要

Abstract

In view of the deep-sea fishery feed pollution

intelligent feeding

large-scale breeding and other problems

this paper has developed a set of deep-sea fishery and breeding integrated intelligent platform based on the Internet of Things. The platform builds LoRa Mesh network and NB-IoT for data collection and transmission of aquaculture water quality indicators; the upper computer APP and lower computer control system are developed for real-time monitoring of water quality sensing data and intelligent feeding equipment control. The test results show that the data transmission is normal

the upper computer analysis is complete

the abnormal water quality data alarm is accurate and rapid

and the control system response is timely. The development of this platform can effectively enhance the yield and quality of deep-sea fish scientific breeding.

关键词

Keywords

Internet of ThingsWireless sensingDeep seaFisheryAquaculture system platform

references

2020 China Fishery Economic Statistical Yearbook [M]. Beijing: China Agricultural Press. 2020.[2] Yang Ningsheng. "Current problems of Chinese fishery informatization and its future development focus" [J]. Fishery Economy of China, 2005, (02) 15-17.[3] Li Jianhua. "Implement the scientific outlook on development and build a healthy development of aquaculture industry"[J]. Fishery Economy of China, 2006, (1) 4-8.[4] Xie Xiaoping. "The Construction and Analysis of the Intelligent Aquaculture Monitoring System" [J]. Southern Agriculture, 2021,15 (29): 218-19[5] Wei Xiaomin. Intelligent monitoring system for fishery and breeding based on the Internet of Things [D]. Tianjin University of Technology, 2019.[6] Li Xincheng, Lin Defeng, Wang Shengtao, Yuan Yuliang. "Design of Intelligent Control System for Aquaculture Pond Based on the Internet of Things" [J]. Journal of Fisheries.2020.33（1）:83-85.[7] Zhong Xing, Liu Yonghua, Sun Changquan. "Design of Intelligent Monitoring System Based on Internet of Things" [J]. Journal of China Agricultural Machinery, 2018,39 (3): 70-73.[8] Shi Bing, Zhao De'an, Liu Xingqiao. "Intelligent monitoring system for large-scale aquaculture based on wireless sensor network" [J]. Journal of Agricultural Engineering, 2011,27 (9): 136-40.[9] Chen Y,Zhen Z,Yu H,et al. "Application of fault tree analysis and fuzzy neural networks to fault diagnosis in the internet of things(IoT) for aquaculture"[J]. Sensors,2017,17(1):153-53.

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