8 results about "Kinetic curve" patented technology

The embodiment of the invention provides a method for determining initial parameters of a transient absorption spectrum kinetics curve, and the method comprises the steps: obtaining an initial absorption point and an absorption attenuation termination point of the transient absorption spectrum kinetics curve, and determining a curve segment between the initial absorption point and the absorption attenuation termination point as a total absorption attenuation interval; carrying out weighting processing on a first-order derivative and a second-order derivative of the transient absorption spectrum dynamic curve to obtain a weighted curvature value sequence; the first N-1 weighted curvature values are selected from the weighted curvature value sequence from large to small, and the total absorption attenuation interval is divided into N absorption attenuation intervals corresponding to curve fitting orders according to sampling points corresponding to the first N-1 weighted curvature values; and determining an initial parameter based on a quantitative relationship of 1 / e of the absorption intensity attenuated to the corresponding interval starting point in each absorption attenuation interval in the exponential fitting model, wherein the quantitative relationship is that the absorption intensity at the interval starting point in each absorption attenuation interval is attenuated to the absorption intensity at the corresponding interval starting point. And the fitting efficiency and accuracy of the dynamic curve are improved.

The invention discloses a method for measuring carbide strain-induced precipitation kinetics based on a thermal simulation experiment, and relates to the technical field of alloy steel hot working, and the method comprises the following steps: obtaining stress and time changes of alloy steel in a heat preservation process after deformation at different rolling temperatures in an austenitizing temperature interval; generating a stress and time curve at each rolling temperature according to the stress and time change after rolling; the starting time and the ending time of strain-induced precipitation of the carbide in the heat preservation process of the alloy steel are measured; a carbide precipitation kinetics curve is generated based on the start time, the end time, and the rolling temperature. Therefore, the carbide precipitation starting and ending time can be extracted only by continuously collecting stress and time in the single heat preservation process corresponding to each rolling temperature, heat preservation interruption and sample replacement are not needed, operation is easy, the workload is small, a traceable and comparable time curve can be conveniently formed, and the method is suitable for large-scale popularization and application. Meanwhile, the whole strain-induced precipitation process and the interaction relationship between precipitation and static recrystallization are intuitively reflected.

The embodiment of the application provides a method for determining initial parameters of a transient absorption spectrum dynamic curve, which comprises the following steps: obtaining an initial absorption point and an absorption decay termination point of the transient absorption spectrum dynamic curve, determining a curve segment between the initial absorption point and the absorption decay termination point as an absorption decay total interval; performing weighted processing on a first derivative and a second derivative of the transient absorption spectrum dynamic curve to obtain a weighted curvature value sequence; selecting the first N-1 weighted curvature values in the weighted curvature value sequence in descending order, and dividing the absorption decay total interval into N absorption decay intervals corresponding to the fitting order of the curve according to the sampling points corresponding to the first N-1 weighted curvature values; and determining the initial parameters based on the absorption intensity at the interval starting point in each absorption decay interval in the exponential fitting model, the quantitative relationship that the absorption intensity decays to 1 / e of the absorption intensity at the starting point of the corresponding interval. The fitting efficiency and accuracy of the dynamic curve are improved.

The application relates to the technical field of material testing, and specifically discloses a quality intelligent detection method and system for micro-mineral biological organic fertilizer, which comprises the following steps: applying local thermal excitation to a fertilizer sample through a micro-zone thermal pulse excitation device, synchronously collecting a gas release kinetics curve and a spectral change track, and constructing a gas spectrum coupling data cube; then performing differential transformation and modal decomposition on a time sequence feature set, extracting a transient response characteristic vector, and generating an activity response distribution graph; then establishing component-activity correlation analysis, decoupling biological metabolic activity and matrix background interference through characteristic separation and contrast learning strategies, and obtaining a dynamic metabolic fingerprint; further constructing a multi-dimensional feature space by combining the dynamic metabolic fingerprint with apparent characteristic parameters, adopting a graph convolution network to perform information aggregation and feature reconstruction, and generating a comprehensive quality index; and finally realizing quality grade determination based on a quality feature pyramid structure, and simultaneously establishing a dynamic early warning mechanism by analyzing time sequence evolution characteristics of the activity response distribution graph.

The application discloses an emulsified asphalt wheel sticking effect evaluation method, equipment and medium, and relates to the technical field of intelligent construction, which comprises the following steps: acquiring a test parameter table, inputting the test parameter table into a microfluidic chip tester for high-throughput testing, and outputting a demulsification kinetics curve and a basic adhesion force data set; combining demulsification process parameters in the demulsification kinetics curve with the basic adhesion force data set to generate a demulsification adhesion coupling data set, constructing a multi-physical field simulation model, and using the demulsification adhesion coupling data set for inversion and calibration to generate a calibrated digital twin model; acquiring construction environment data and inputting the construction environment data into the calibrated digital twin model for automatic multiple simulation calculation to predict wheel sticking risk indexes of different construction schemes; and integrating a construction scheme with the lowest wheel sticking risk index and a safe passing time window to generate an intelligent decision suggestion. The application inverses and calibrates the interfacial energy density through experimental data, and reduces the behavior error of the simulation model and the real material.

The application discloses a method, device and computer readable medium for selecting a medicament dosing scheme, which constructs an autoregressive machine learning model based on operation state information of a preset pollutant treatment process under different reaction conditions; on this basis, reaction conditions corresponding to different to-be-tested medicament dosing schemes are taken as model inputs, the model is used to predict corresponding pollutant residual concentration kinetic curves, and the medicament dosing scheme is optimized according to a preset selection rule. Through the machine learning method, the application can accurately find the mapping relationship between the reaction conditions of the pollutant treatment process and the reaction kinetic curves from data, and the accurate and intelligent optimization of the medicament dosing scheme of the pollutant treatment process is realized by using the prediction model in combination with the selection rule.

The application discloses a method for improving the gettering efficiency of crystalline silicon, comprising the following steps: (1) removing the PSG layer after phosphorus diffusion, and testing the phosphorus concentration distribution, the phosphorus diffusion layer depth, the silicon wafer thickness and the metal impurity content ratio before and after gettering; (2) obtaining a first equation by using the continuity equation before and after metal impurity gettering and the existing form of metal impurities in the heavily doped phosphorus layer; (3) substituting each parameter into the first equation to obtain a value related to the segregation coefficient; (4) converting the phosphorus concentration distribution into the depth distribution of phosphorus diffusion with time, substituting into the first equation to obtain a gettering kinetics curve; (5) substituting the influence factor into the gettering kinetics curve to obtain a modified phosphorus gettering kinetics curve for predicting the phosphorus gettering efficiency; and (6) comparing the predicted phosphorus gettering efficiency with the gettering efficiency under the same thermal history in actual production to guide the process optimization of phosphorus gettering. By using the application, the gettering effect can be significantly improved.

The invention discloses an emulsified asphalt wheel sticking effect evaluation method, equipment and a medium, and relates to the technical field of intelligent construction, and the method comprises the following steps: obtaining a test parameter table, inputting the test parameter table into a micro-fluidic chip tester to carry out a high-throughput test, and outputting a demulsification dynamic curve and a basic adhesion force data set; merging demulsification process parameters in the demulsification kinetic curve with the basic adhesive force data set to generate a demulsification adhesion coupling data set, constructing a multi-physical field simulation model, and performing inversion and calibration by using the demulsification adhesion coupling data set to generate a calibrated digital twinborn model; obtaining construction environment data, inputting the construction environment data into the calibrated digital twinborn model, carrying out automatic simulation calculation for multiple times, and predicting wheel sticking risk indexes of different construction schemes; and integrating the construction scheme with the lowest wheel sticking risk index and the safe passing time window to generate an intelligent decision suggestion. According to the method, the interface energy density is calibrated through experimental data inversion, and the behavior error between a simulation model and a real material is reduced.