Jing Ning
ABSTRACT
The present buoy is advancing towards increased intelligence and automation, instigating interest in the evolution of intelligent buoys. The effective detection of water quality data holds the potential to alleviate workload and facilitate real-time data acquisition and anomaly recording in scenarios of unmanned supervision. This paper introduces a buoy system designed for hydrological detection, providing a succinct overview of the design, elucidating the operation of diverse subsystems, and delineating the establishment of the hardware platform. The system underwent corresponding tests in a lake, enabling remote access during the testing phase. The experiment sensor data could be accessed in the cloud, and no anomalies were detected in the environment during the testing period. Furthermore, we bolstered control and detection reliability through the strategic application of data fusion, deliberately progressing toward the advancement of the Internet of Underwater Things (IoUT).
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