Design And Implementation Of Electrochemical Workstation Software System

Signal processing and spectrum analysis are commonly used analysis techniques for electrochemical signal data.With the development of computer technology,the signal processing process has become a trend from hardware to software.At the same time,more advanced signal processing models have been proposed and provided for software implementation.On the basis of in depth of study of time-domain signal processing technology,mathematical models and algorithms related to spectrum analysis,this thesis designs and implements a software system for electrochemical signal parser,time-domain signal processing,spectrum analysis and signal correction based on the cross-platform Py Qt framework.The main research content of the thesis is as follows:1.Research and implementation of waveform signal processing algorithms,including time domain signal processing and spectrum analysis.Mathematical models such as Savitzy-Golay smoothing algorithm,Bezier interpolation algorithm,composite Simpson’s rule,and polynomial fitting algorithm based on least squares are studied and these algorithms have been realized.The mathematical model of fast Fourier transform is studied to realize the analysis of signal amplitude spectrum,phase spectrum and power spectrum.On this basis,high-pass,low-pass and band-pass filters are introduced to realize the smoothing function of Fourier filter.2.Analysis and visualization of signal data files,providing analysis support for more than 20 technologies provided by electrochemical workstation equipment.The parsing framework is scalable,and different types of devices can be parsed correctly if they meet the format standards.On this basis,the experimental parameter display and signal curve visualization are completed,and coordinate tracking and mark management are provided to assist users in signal observation.The software persistence function can complete the wrapping and preservation of signal processing results such as smoothing.The output data files meet the analysis specifications,providing support for background subtraction or signal averaging between multiple data files.3.Error correction and evaluation functions.The software supports manual correction of the curve,or removal of data points in a specific range on the signal curve,modification of data points in a specified signal segment,or compensation of the sloped signal baseline and the DC level of the moving baseline.In order to verify the correctness and precision of the signal processing algorithm,the software error evaluation function implements and provides multi-dimensional error indicators,such as Mean Square Error and R-Square,and provides signal averaging and background subtraction functions to intuitively reflect the differences between signal curves.4.Implement system interaction logic based on the Slot object communication mechanism of the Py Qt framework.Use UI components of the Py Qt framework to implement the main interface layout(menu bar,toolbar,etc.)and dialog box components,which can correctly call the corresponding signal processing function modules.5.Write test cases to test the functions of the software system such as time-domain signal processing,spectrum analysis and data analysis,test the overall operation effect of the software,solve software defects and prove the quality and stability of the software.