Design and Realization of Cluster Monitoring System Based on IoT Technology

Authors

    Xiuping Huang, Shaogeng Zeng, Weiming Hong, Huijuan Huang School of Computer Science and Intelligence Education, Lingnan Normal University, Zhanjiang 524048, Guangdong Province, China School of Computer Science and Intelligence Education, Lingnan Normal University, Zhanjiang 524048, Guangdong Province, China; Mangrove Institute, Lingnan Normal University, Zhanjiang 524048, Guangdong Province, China School of Computer Science and Intelligence Education, Lingnan Normal University, Zhanjiang 524048, Guangdong Province, China; Mangrove Institute, Lingnan Normal University, Zhanjiang 524048, Guangdong Province, China Mangrove Institute, Lingnan Normal University, Zhanjiang 524048, Guangdong Province, China

Keywords:

Old and valuable trees protection, Artificial intelligence, Internet of Things, Ecological monitoring, Cluster monitoring

Abstract

With the increasing global awareness of ecological protection, this project responds to the relevant policies of Guangdong Province and the initiative of the National Beautiful China Pioneer Zone, aiming to develop a multi-point cluster monitoring system through artificial intelligence and Internet of Things technologies to realize intelligent monitoring and protection of mangrove forests. The system utilizes real-time monitoring technologies, including the detection of oxygen and carbon dioxide concentrations to assess the carbon sequestration capacity of the trees, and a soil monitoring function to provide a comprehensive understanding of the environmental conditions under which the trees are growing. The system also enables real-time alarms for any abnormal conditions and automatic intelligent irrigation management when soil moisture content falls below the growth requirement threshold. The data is read in real time by the sensors and uploaded to the MixIO cloud platform using the MQTT protocol, enabling real-time updating and visualization of the data, making the monitoring, protection, and management of trees and the environment easier and more efficient.

References

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Published

2024-12-16