Design Of Water Quality Monitoring And Forecastinged System Based On STM32

For the traditional water quality monitoring is difficult to achieve real-time monitoring and prediction of water quality parameters,and the traditional manual detection of water quality parameters of the method is not accurate,time-consuming and laborious,through the monitoring system based on STM32 microcontroller hardware and software,sensor information acquisition system,serial communication mode,a multi parameter monitoring system of aquaculture water quality based on wireless sensor network is designed.The system consists of sensor node,router node,sink node,host computer monitoring center and remote monitoring center.The sensor information acquisition system is studied.The temperature,pH and dissolved oxygen are designed.The signal amplifying circuit and anti interference of pH signal are designed.The application of artificial neural network in water quality prediction is studied,and the experiment is carried out in the Matlab simulation software.Study on the mathematical model of fish ponds aerator aeration process,based on the design of a fuzzy self-tuning PID controller for intelligent control of dissolved oxygen.In the structure of the article,it can be divided into 6 chapters.In the first chapter,the background and the practical significance of the research,the research status of the technology of water quality parameter monitoring and control,the technology of wired and wireless sensor network,the information fusion technology and water quality prediction are introduced.In the second chapter,the temperature,pH and dissolved oxygen sensor in sensor technology are briefly introduced,and the topology of wireless sensor network is designed,and the information fusion technology is summarized.In the third chapter,a water quality monitoring system based on STM32 MCU is designed,and the hardware and software of the system are analyzed.In the fourth chapter,the temperature,pH and dissolved oxygen in the sensor acquisition system are designed,and the fitting equation of the temperature is obtained by experiment and calculation.The pH value signal amplifying circuit and anti interferencedesign are studied,and the temperature compensation and atmospheric pressure compensation are studied.In the fifth chapter,a new adaptive weighted fusion algorithm is proposed to improve the accuracy of detection.A new algorithm of artificial neural network fusion is proposed to improve the accuracy of water quality prediction.The process of the two level fusion is analyzed.Simulation and test of the two level fusion model in Matlab.Finally,build a fish pond aerator mathematical model,based on the design of a fuzzy self-tuning PID controller for intelligent control of dissolved oxygen.In the sixth chapter,the paper summarizes the whole thesis and points out the main research contents and innovation points,and emphasizes the problems and prospects of the research,and puts forward the need for further research,in order to guarantee the scientific nature of the research.According to the performance of the system research,results show that pH,dissolved oxygen and temperature average relative error of 4.06%,3.10% and 0.85%,which meet the aquaculture water quality monitoring applications.