Design and Implementation of an Intelligent Monitoring System for Internet of Things Aquaculture Based on ZigBee Technology

According to the impact of marine pollution on mariculture, an intelligent monitoring system for mariculture water quality based on ZigBee is designed in this study. The system includes a data acquisition part, a data transmission part and a user-side early warning part. It is composed of data terminals and multiple data acquisition points, which detect the temperature, PH value, oxygen solubility and other related parameters of water quality. The data of each collection point is transmitted to the ZigBee coordinator node through the ZigBee network. The coordinator node monitors the collected data value and makes a risk warning according to the early warning value. GPRS is used to upload the data to the server in real time, so that the staff can find and handle the abnormalities in time, and an intelligent monitoring system based on the Internet of things is utilized.