Prof. Peiwei Wang Profile

Prof. Peiwei Wang

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Proceedings Article | 8 March 2023 Paper

Aquaculture environment monitoring system based on Internet of Things

Feng Liu, Peiwei Wang

Proceedings Volume 12586, 125860W (2023) https://doi.org/10.1117/12.2668766

KEYWORDS: Environmental monitoring, Internet of things, Technology, Industry, Environmental sensing, Humidity, Design and modelling, Sensors, Wireless communications, Data storage

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The application of Internet of Things technology to agricultural environmental monitoring can not only effectively provide real-time monitoring of the environment, but also provide important data basis for environmental supervision and management through information sharing and auxiliary decision-making. Therefore, in order to improve the reliability of aquaculture environment monitoring, this paper introduces the Internet of Things and develops a new monitoring system for aquaculture environment. The system architecture shall be developed and the monitoring equipment shall be selected according to the actual requirements. With the support of the hardware equipment, the Internet of Things technology shall be introduced to establish the communication link between the sensor, the monitoring equipment and the monitoring environment. The aggregation node of the design information shall be a single node, and all the monitoring information will be forwarded by the Internet of Things node in a multi-hop manner to realize the communication and intelligent transmission of the monitoring environment based on the Internet of Things. By introducing the remote control technology, this paper designs the corresponding monitoring and early warning indicators, starts the sensors and induction devices, carries out the early warning of the aquaculture environment monitoring indicators, and completes the development of the aquaculture environment monitoring system. Design comparison experiments show that the system developed in this paper can not only ensure the continuity of monitoring results, but also reduce the error of monitoring indicators, improve the accuracy of monitoring results, and contribute higher value to the development of aquaculture.

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