Wireless Sensor Network Based Aquaculture Water Quality Research And Application Of Monitoring System

In recent years,as China’s aquaculture industry has become more sophisticated and production has increased,the occurrence of fish diseases,deterioration of the water quality environment and resource scarcity have gradually become apparent.The aquaculture model will also be gradually transformed from traditional to modern.In view of the relatively low level of automation in the aquaculture industry,this project designs an intelligent water quality monitoring based on Zig Bee technology,selecting the three important factors of water temperature,p H and dissolved oxygen as the main objects.The first part is the design of the hardware,firstly,the CC2530 chip is selected as the main control chip of the system,and the RF module,power supply circuit module,JTAG interface circuit module and USB to serial module are designed respectively,followed by a brief introduction of the physical architecture of the corresponding sensors,and the design of the water temperature,p H and DO conditioning The second part focuses on the software design.The second part is mainly the design of the software,using the open source Z-Stack protocol stack to design the node configuration,aggregation node,terminal node program,and based on C# language and SQL Sever database to develop the upper computer monitoring interface,to ensure that the data centre can monitor the dynamic changes in water quality in the aquaculture environment and the storage of data in real time.The third part is mainly the data collection unit in the original data coarse error values using the Grobeis criterion for pre-processing,using the introduction of correction factors to improve the traditional Kalman filter algorithm so as to be closer to the real value of water quality factors.The fourth part is mainly through the improved Kalman filter algorithm and linear interpolation combined to build the spatial distribution of water parameters,the experimental results show that the spatial distribution model proposed in this paper is reliable and provides an effective solution to the problem of monitoring discontinuities at the farming base sites.The design of this paper based on Zig Bee water quality monitoring system,through the analysis of the collection of data history and process data,can provide timely and effective auxiliary decision-making information for the farming staff,the development of intelligent farming,ecosystem sustainability and diversification of information has important practical significance.