| Water quality monitoring technology is a technology that monitors and measures the types,concentrations,and trends of pollutants in water to ensure that people produce safe water for production and living.Common methods are based on electrochemical,optical,and other methods for water conductivity,heavy metal ions,or large water.Changes in molecular substances are monitored.The current monitoring methods are relatively backward,most of which are offline,single-point and non-visual monitoring methods.Based on the principle of electrochemical monitoring in water quality monitoring,this paper innovatively applies the electrical impedance imaging method to water quality monitoring,which makes up for the shortcomings of traditional water quality monitoring,improves the real-time monitoring and monitoring scope,and realizes visual monitoring.Electrical Impedance Tomography(EIT)technology is a non-radiation,non-intrusive,fast method that reconstructs an image of the distribution of electrical parameters within the measured object by applying an excitation signal at the boundary of the measured object and measuring the voltage at the boundary.Nondestructive testing method.This article innovatively applies the electrical impedance imaging method to water quality monitoring,and in order to meet the requirements for real-time monitoring,monitoring speed,and monitoring accuracy in water quality monitoring,the original imaging algorithm and imaging system are optimized and improved.It works as follows:(1)Water quality monitoring is a dynamic monitoring process.The image reconstruction algorithm required is a dynamic imaging algorithm.In response to this problem,this paper introduces the Kalman filtering algorithm into the image reconstruction algorithm.The water quality monitoring imaging state model is similar,so the Kalman filter state model can be improved according to the water quality monitoring spatial state model,to improve the dynamic imaging capability of the imaging method during water quality monitoring,and to improve the imaging accuracy.(2)The water quality monitoring system needs to monitor the water quality changes in real time,quickly and accurately.This requires the designed electrical impedance imaging system to have fast imaging speed and good imaging effect.In response to these requirements,a 14-bit dual AD sampling module of the channel to improve the sampling speed and accuracy;optimize the FPGA hardware circuit,digitize the filtering and demodulation module after the signal sampling,and use the Wiener filtering algorithm and improved coefficient-based recursive demodulation algorithm in FPGA to complete The data processing of the sampling signal improves the demodulation accuracy,reduces the introduction of noise,improves the imaging effect,speeds up the data processing speed,and increases the imaging speed.(3)In order to verify the feasibility and monitoring effect of applying the dynamic impedance imaging method to water quality monitoring,this paper conducted a simulation experiment of conductivity and turbidity monitoring in water quality monitoring to achieve a dynamic,fast and visual Monitoring and achieved better monitoring results. |