Study On Intelligent Control System For Shipborne Wetland

Facing the increasingly serious lake pollution problem,many control methods have been proposed.Among those methods,constructed wetlands are widely used because of the advantages of less investment,no secondary pollution and good treatment effect,but there are also some problems such as easy saturation of matrix,balance of purification and pollution rate,and small treatment area.To solve the above problems,this thesis adopts the distributed whole basin wetland based on wetland model,and ship-borne wetland is one of them.In order to improve the purification effect of ship-borne wetland,this thesis designs an intelligent control system based on the framework of FPGA+ STM32.It can process image,voice and other types of data in parallel;synthesize the results of parallel processing of water level,weather and other factors to control the workflow;realize data transmission in different directions through 2.4G wireless communication;use SDRAM to store local data.Using C and Verilog language to write software progralms for data processing,read and write control,wireless transmission and other modules.The system can accomplish the following functions:1.Intelligent scheduling of energy.Shipborne wetland absorbs clean energy as energy source.The system uses BF algorithm and HMM speech recognition model to improve the processing speed and accuracy of string data measured by power grid and voice data of manual instructions by combining the parallel processing ability of the system with software and hardware,and intelligently dispatches energy by combining the remaining battery power.2.Intelligent control of purification process.The system uses the frame difference method,chooses the threshold of 25 and the frame difference of 8 to process the image,realizes the judgment of mechanical failure and so on;uses the logical structure of comparison and latch,and processes the numerical data in parallel,realizes the detection of matrix clogging,water quality and electricity quantity,and then integrates the factors of weather and matrix surplus,realizes the intelligent control of water intake,filtration and other purification processes.3.Data storage and mining.Communication between the system and cloud PC is realized by 2.4G wireless module.In order to improve the efficiency and simplify the data mining process,we use the visualization mining function of Analysis Services in the software to mine the data in the database and use the obtained data to guide the water purification process.