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To effectively solve the problems such as high labor costs and sloppy water quality monitoring in the aquaculture industry at this stage, and also improve the development of intelligent, informative, and smart water quality monitoring in aquaculture, a system based on the Internet of Things (IoT) technology is proposed, which can directly control the monitoring devices in Ali Cloud IoT platform and obtain water quality monitoring data. In addition, for the problem that the sensor monitoring data error rate is large, based on simulation experiments, the Kalman filter algorithm is applied to the data processing aspect of the system so that the data monitored by the sensor is more accurate. The laboratory and the actual scene test show that the system studied in this paper can directly control and read the water quality data in the Ali Cloud IOT platform, and the error rate of the obtained water quality environmental data is small, which provides valuable information for aquaculture industry production and scientific research.
Hu et al. (Fri,) studied this question.
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