Research And Application Of In Pond Raceway Aquaculture Monitoring And Water Quality Evalution Prediction Model Based On Iot

With the rapid development of smart agriculture in my country,the aquaculture industry continues to undergo technological changes.The intelligence level and production capacity of traditional aquaculture models are low.To improve the level of intelligence,for the new "in pond raceway" aquaculture system,this paper applies the theories and methods of agricultural Internet of Things,fuzzy PID,fuzzy comprehensive evaluation and water quality grade prediction to design an aquaculture Internet of Things system with runway breeding area monitoring and ecological purification area water quality evalution and prediction functions.The main research contents are as follows:(1)The overall structure and hardware design.Firstly,the three-layer architecture of the aquaculture Io T system is built.The perception layer uses STM32 microcontroller as the control core to realize data acquisition and equipment control,the network layer realizes network communication through TCP/IP protocol,and the application layer uses C++ language to write Qt monitoring interface.Next,the overall hardware structure of the system is designed.Finally,the hardware design of the data acquisition module,wireless communication module and LED display module is carried out respectively.(2)System software design.Among them,the lower computer transplanted the UCOSIII operating system and built the Lora ad hoc network architecture,and designed the data acquisition and processing programs of various sensors.Aiming at the problems of unstable dissolved oxygen value and energy waste in the breeding area,the lower computer designed a fuzzy PID aerator controller,which controlled the frequency converter to change the speed of the aerator,so that the dissolved oxygen value remained unchanged.The experimental results show that: compared with ordinary switch control and PID control,the control performance of fuzzy PID is better;the upper computer designs user login program,database program and data communication processing program based on Qt integrated development environment.(3)Aiming at the problem that a single water quality parameter is difficult to evaluate and predict the water quality level of the purification area accurately and reasonably in real-time,firstly,this paper uses the K-proximity interpolation method,the Grubbs criterion and the grouping adaptive weighted fusion algorithm to achieve data noise reduction and fusion;The water quality grade evaluation standard was established,the membership matrix was calculated by the semi-trapezoidal membership function,the index weight was calculated by the analytic hierarchy process,and the fuzzy comprehensive evaluation model of water quality was built.The Gaussian kernel function bandwidth and penalty factor are used to construct a water quality grade prediction model.Experiments show that the fuzzy comprehensive evaluation model can effectively deal with the ambiguity of water quality.The root means square error and means the absolute error of the water quality grade prediction model are 0.1629 and 0.0896,respectively.This model can effectively improve the prediction accuracy of water quality environmental grades.The test results of the system in an aquaculture base show that the data collection and transmission are accurate,the equipment control effect is good,the performance of the model prediction water quality grade is good.The system is stable and reliable to meet the needs of in pond runway aquaculture.