Design Of Water Quality Online Monitoring System In Aquaculture Based On ZigBee

Different aquaculture models and different species of aquaculture have different requirements for water quality,and the current aquaculture industry’s monitoring of water quality is mostly artificial and lacks systematic management and intelligent monitoring.The equipment used in the monitoring system is relatively simple and cannot be accurately monitored for water quality.Therefore,the research on the online monitoring of water quality in the breeding environment has practical value and theoretical reference significance.The water quality monitoring of aquaculture should meet the following requirements: in the whole breeding area,multiple monitoring points should be set up,and the monitoring points and their parameters collection nodes should be arranged reasonably.Each parameter acquisition node can collect multiple water quality parameters in real time;the system has the function of predicting the water quality at some point in the future.Based on the above requirements,the paper designs an online monitoring system for aquaculture water quality based on ZigBee.The system consists of three parts: data acquisition module,data processing module,data communication module,data acquisition module,including temperature,PH value and dissolved oxygen,etc.,to realize the collection of water quality parameters and convert it to digital signal through A/D;The data processing module adopts STM32 microcontroller to process and store the water quality data.The data communication module includes ZigBee communication module and GPRS communication module,which realizes data communication between terminal nodes,routing nodes and aggregation nodes,as well as data communication between aggregation nodes and remote monitoring centers.ZigBee communication module adopts CC2530 chip with high performance and low power consumption to realize data processing and transmission.The GPRS communication module adopts SIM900 A chip to meet the real-time requirements of the system.The system uses the probability neural network to establish the water quality prediction model to realize the forecast of the water quality parameters in the next 48 hours.The system is organized dynamically in a distributed way,and it can monitor the quality of the water quality 24 hours a day without interruption,and it can provide real-time water quality monitoring according to the preset parameters of water quality,so as to provide real-time water quality monitoring for aquaculture,so as to improve the growth efficiency of aquaculture biology,and realize the intelligent monitoring of aquaculture water quality.