30 results about "Decay curve" patented technology

A method and apparatus of a device of predicting a heat map for a die model is described. In an exemplary embodiment, the device receives a die model for representing the die and a boundary condition applicable to the die, the die model including dimensions of the die. In addition, the device may include scaling the dimensions of the die model and the boundary condition, wherein the dimensions of the die model are scaled to a target die size, the scaled dimensions including a scaled die thickness. Furthermore, each trained die model including a die surface of the target die size, different trained die models having different die thickness, the plurality of trained die models trained under a plurality of boundary conditions, each trained die model having a plurality of decay curves associated with the plurality of boundary conditions. The method may additionally include determining a relationship between the scaled boundary condition and the plurality of boundary conditions. In addition, the method may include determining a decay curve for the die model according to a combination of decay curves associated with the plurality of boundary conditions for the one or more trained die models using the relationship. Furthermore, the method may include generating the die heat map based on the decay curve determined for the die model.

This invention relates to the field of medicinal material identification technology, specifically to a method and system for identifying the authenticity of medicinal materials based on AI vision. The method includes the following steps: iteratively generating candidate images and comparing them with images of genuine medicinal material slices, adjusting the generation logic based on the comparison results. This invention constructs a latent vector mapping relationship consistent with the visual features of images of genuine medicinal material slices, combines image reconstruction errors for anomaly extraction, and enhances the perception of adulteration locations. The pixel-by-pixel reconstruction error method can locate areas with slight deviations in shape or color, and based on this, extracts the thermal decay curve of the isotopic infrared image sequence. Through time constant fitting calculation, it completes a quantitative modeling of the thermal conductivity characteristics in space, and further calculates the spatial gradient of the thermal decay time constant, realizing the quantification of the boundary strength of the material's thermal diffusion behavior, forming a thermal anomaly diffusion gradient map, providing physical property basis for subsequent multi-spectral fusion.

The application discloses a kind of semiconductor material surface recombination rate measurement method, comprising the following steps: using laser source to generate pump light to irradiate the semiconductor sample to be measured, the change rate of the luminescence signal generated by sample after laser is closed is collected, the luminescence intensity curve decaying with time is obtained, laser power is changed, and the response of the sample to be measured decaying curve with time is obtained from the three-dimensional image of intensity-time-power, the decay constant under different power intensities is normalized and fitted, and then the constant set is fitted using surface recombination model, and the surface recombination rate value of the semiconductor sample is extracted based on the set of parameters.The semiconductor material surface recombination rate measurement extraction method of the application can effectively measure surface properties, non-destructive non-contact surface recombination rate is obtained, and has application value for on-line detection of semiconductor preparation.

This invention relates to the field of fluid impurity removal detection technology, and discloses an online detection method and system for the impurity removal efficiency of a fluid iron separator. The method includes: measuring the instantaneous content of magnetic impurities at the inlet and outlet in real time using a high-frequency electromagnetic induction sensor; monitoring the change in magnetic flux on the surface of the magnetic medium in real time using a miniature fluxgate sensor array; calculating the apparent impurity removal efficiency based on the impurity content at the inlet and outlet using an edge computing gateway, and simultaneously calculating the magnetic medium adsorption saturation based on the magnetic flux decay curve; weighting the apparent impurity removal efficiency using the magnetic medium adsorption saturation as a weight for adsorption effectiveness; when the magnetic medium adsorption saturation is lower than a preset saturation threshold, attenuation is performed according to the ratio of the apparent impurity removal efficiency multiplied by the magnetic medium adsorption saturation to the preset saturation threshold to obtain the true impurity removal efficiency. This invention solves the problem in existing technologies that cannot distinguish whether impurities are effectively retained or merely pass through the iron separator, achieving accurate detection of the true impurity removal efficiency.

The application discloses a kind of based on pulse fast neutron material composition analysis method, equipment and storage medium, the application relates to material composition analysis technical field, the based on pulse fast neutron material composition analysis method includes: in current pulse cycle, according to first time window acquisition prompt emission signal, and according to second time window acquisition slow emission signal;Determine first analysis result based on the spectral peak position and spectral peak area of the first energy spectrum of the prompt emission signal;According to the element characteristic spectral peak area calculated by time decay curve according to the spectral line feature of the second energy spectrum of the slow emission signal, determine second analysis result;Fusion preliminary element information determined by the first analysis result, and sensitive element information determined by the second analysis result, the element content of material is obtained by inversion calculation.It realizes the technical effect of improving material composition analysis precision.

The invention discloses a material component analysis method and device based on pulse fast neutrons and a storage medium, and relates to the technical field of material component analysis, the material component analysis method based on pulse fast neutrons comprises the following steps: collecting transient emission line signals according to a first time window in a current pulse period, acquiring a slow emission line signal according to the second time window; determining a first analysis result based on the spectral peak position and the spectral peak area of the first energy spectrum of the instantaneous emission line signal; according to spectral line characteristics of a second energy spectrum of the slow emission line signal, calculating an element characteristic spectrum peak area through a time decay curve, and determining a second analysis result; and fusing the initial element information determined by the first analysis result and the sensitive element information determined by the second analysis result, and carrying out inversion calculation to obtain the element content of the material. The technical effect of improving the material component analysis precision is achieved.

This invention discloses a method for calculating the breakdown field strength of cable insulation of different thicknesses at different temperatures. The method includes the following steps: conducting surface potential decay experiments on XLPE samples of different thicknesses to obtain surface potential decay curves; obtaining trap parameters for XLPE samples of different thicknesses based on the surface potential decay curves; substituting the trap parameters into a bipolar carrier model to calculate the change in electron energy inside the XLPE sample with the applied pressure time; determining that the XLPE sample has broken down when the electron energy is greater than the trap energy level calculated from the surface potential decay experiment; recording the DC breakdown field strength of XLPE samples of different thicknesses at different temperatures to construct a DC breakdown field strength prediction model for XLPE samples. This invention can accurately evaluate the DC breakdown field strength of various types of XLPE samples, has the advantages of convenient operation and high universality, and shows high accuracy compared with actual experiments.

The application discloses a Raman spectrum fluorescence baseline correction method and device, the method comprises the following steps: collecting a time domain signal of a sample to be measured, and obtaining an IRF function of a sample collection system of the sample to be measured; pre-processing the time domain signal, and performing deconvolution on the pre-processed time domain signal and the IRF function to obtain a deconvolution result; fitting the latter half data of the deconvolution result by using a support vector regression model to obtain a fitting curve; wherein, a radial basis function is used as a kernel function, and the hyperparameters of the support vector regression model are optimized by using a grid search and cross-validation method; performing difference operation on the deconvolution result and the fitting curve to obtain a Raman decay curve; and performing windowing and averaging on the Raman decay curve to obtain a Raman spectrum. The application does not need to preset a fluorescence decay model and parameters thereof, utilizes the characteristics of the time domain signal data itself, processes the IRF deconvolution result by using the support vector regression model, predicts a time domain baseline, can greatly improve the signal-to-noise ratio of extracted Raman signals, achieves good effects, and is suitable for practical application.

This invention discloses a method and system for coagulation detection based on magnetic field-driven micro-robot swarm motion. The method first mixes and incubates diluted magnetic beads with the target plasma and coagulation reagent to form a coagulation reaction system. Based on the detection requirements, a time-varying magnetic field driving mode is selected and applied. Motion video data of the magnetic bead swarm under magnetic field driving is acquired in real time using an image acquisition device. Time-series analysis of the motion video data is performed using image processing and analysis algorithms to extract dynamic parameters characterizing the swarm motion intensity, generating a motion decay curve that changes over time. Based on the trend of the motion decay curve, the viscoelastic changes reflecting the coagulation process are quantified, determining the coagulation state and corresponding coagulation time parameters. This invention not only detects coagulation time parameters but also continuously reflects the coagulation reaction process at the microscale. Compared with traditional detection methods, it offers higher sensitivity, richer information dimensions, and superior detection accuracy.

The invention relates to a semiconductor material surface recombination rate measurement method, which comprises the following steps: utilizing a laser source to generate pump light to irradiate a to-be-measured semiconductor sample, collecting the change rate of a light emitting signal generated by the sample after the laser is turned off along with time, obtaining a light emitting intensity curve attenuating along with time, changing the laser power, and calculating the recombination rate of the semiconductor material surface. The method comprises the following steps: acquiring a response attenuation curve of a to-be-tested sample along with time from an intensity-time-power three-dimensional image, performing normalized fitting on attenuation constants under different power intensities, fitting a constant group by using a surface composite model, and extracting a surface composite rate value of the semiconductor sample based on the group of parameters. The method for measuring and extracting the surface recombination rate of the semiconductor material can be used for effectively measuring the surface property and acquiring the surface recombination rate in a lossless and non-contact manner, and has an application value for online detection of semiconductor preparation.

This invention relates to the field of materials testing technology and discloses a simulation method for coating performance based on high and low temperature cycling and prestress loading. By acquiring measured operating data of pipes or components, a composite geometric model of the coating substrate containing microporous structures is constructed. Surface roughness and interface curvature characteristics are quantified using reverse engineering. A dynamic temperature-pressure coupling equation is generated based on the thermal expansion effect of high-pressure media. The microporous optical load is converted into an equivalent heat flux density using a ray tracing algorithm. The transient boundary conditions of the temperature and stress fields are correlated. The crack initiation path is simulated using the extended finite element method. The lifetime decay curve is predicted using the Paris formula. Material parameters are dynamically corrected based on experimental data to generate a multi-parameter collaborative optimization model. This invention solves the problems of distorted interface stress assessment and lifetime prediction bias under composite loading, providing multi-physics collaborative simulation support for optimizing the compressive strength performance of coatings.

This invention discloses a temperature control system and method for a microfluidic chip, relating to the field of microfluidic temperature control technology. The method includes: during the microfluidic chip manufacturing process, embedding topological insulator nanowires into a substrate in a directional arrangement to form a pre-locked array; simultaneously generating an anisotropic thermally conductive network under continuous acoustic-magnetic field action; calculating topological vortex invariants to generate thermal conductivity weighting coefficients; setting a fluorescent layer on the surface of the micro-reaction cavity of the anisotropic thermally conductive network and acquiring fluorescence lifetime decay curves in real time; calculating transient temperature values ​​and temperature change rates based on a thermal conductivity-constrained variational model and the thermal conductivity weighting coefficients; calculating nonlinear feedforward compensation power based on the transient temperature values ​​and temperature change rates; calculating feedback compensation power based on the deviation field between the target temperature and the real-time temperature; and generating compensation power commands. This invention constructs a thermal conductivity frequency domain filtering function through compensation power commands, improving the uniformity and response speed of the thermal response.

This invention provides a non-destructive comprehensive measurement and evaluation method for the space-use performance of multi-junction photoelectric devices, comprising: detecting the optimal excitation wavelength of a selected PN junction based on the quantum transfer characteristics of the device; spatially irradiating the device based on the optimal excitation wavelength to detect the optimal fluorescence wavelength of the selected PN junction; periodically spatially irradiating the device based on the optimal fluorescence wavelength to diagnose the fluorescence decay relationship of the selected PN junction over time; diagnosing and determining the fluorescence lifetime of the selected PN junction based on the fluorescence decay relationship over time; replacing the selected PN junction and repeating the above steps until the fluorescence lifetimes of multiple PN junctions of the device are determined; combining the fluorescence lifetimes of multiple PN junctions, the current-voltage characteristics of the device, and the space irradiation type of the space-irradiated device to determine the normalized power decay curve of the device; and evaluating the cumulative total space irradiation, cumulative operating time, and predicting the remaining lifetime of the device based on the normalized power decay curve of the device.

The invention discloses an insulating material dielectric strength evaluation method and system based on a trap level, belongs to the technical field of electrical equipment and electrical engineering, and is used for accurately evaluating the dielectric strength of an insulating material. The carrier mobility is calculated by collecting depolarization charge quantity attenuation curves of the insulating material after different polarization electric fields, the influence of the electric fields is corrected by adopting a Pole-Frenkel law, and trap level distribution of the insulating material under the different polarization electric fields is obtained. Through exponential decay function fitting, the influence of an electric field on a trap level is extrapolated to a higher electric field range, a corresponding limit trap level under a critical electric field is obtained, and a relation function with direct current breakdown field strength is established, so that the dielectric strength of the insulating material is accurately evaluated through the limit trap level.

The application discloses a power supply electrode polarization effect correction method, which comprises the following steps: step 1, obtaining the correction coefficient of a tested electrode by using the electrode correction coefficient testing method in claim 1; step 2, determining the polarization potential difference decay curve of the electrode through experiments; step 3, selecting a suitable fitting formula according to the change characteristics of the polarization potential difference decay curve obtained in step 2, and obtaining the functional relationship between the polarization potential difference and time through curve fitting; the function expression can be used to calculate the polarization potential difference of the power supply electrode with the same material as the tested electrode at any time after power-off; and step 4, correcting the polarization effect of the power supply electrode with the same material as the tested electrode by using the functional relationship obtained in step 3. The application determines the polarization potential difference decay curve of the electrode through experiments, and corrects the potential difference data measured in the field by using the decay curve.

The invention belongs to the technical field of electrical equipment and electrical engineering, and particularly relates to an insulating material trap characteristic characterization method. The invention aims to solve the problems of large current data fluctuation and easy interference of the existing thermal stimulation current method, and the problem that the surface potential attenuation method only reflects surface and near-surface charges and is low in deep sensitivity. The method comprises the following steps: carrying out polarization and depolarization on an insulating material, collecting polarization instantaneous charges, attenuation initial charges and termination charges through a DCIC-Q (t) system, and obtaining a depolarization charge quantity attenuation curve; constructing a space charge limited current theoretical model without polarization characteristics, and calculating intrinsic carrier mobility under different polarization electric fields; the electric field influence is corrected in combination with the Pole-Frenkel law, trap level distribution is obtained, and dissipated charges and non-escaped charges are distinguished through a charge difference value. According to the method, the data stability and the deep charge sensitivity are improved, and the trap characteristic of the insulating material is accurately represented.

The invention relates to the technical field of spectral analysis, in particular to a coding method, a decoding method and application of multiple light-emitting microspheres based on service life. The invention discloses a coding method of multiple light-emitting microspheres based on service life. The coding method comprises the following steps: providing at least two light-emitting materials with different service lives; coating the luminescent material in a carrier microsphere to form a luminescent coding microsphere; coding is realized by adjusting the proportion of the light-emitting coding microspheres with different service lives. The invention discloses a life-based decoding method for multiple light-emitting microspheres. The life-based decoding method comprises the following steps: carrying out scanning imaging on light-emitting coding microspheres, and collecting image data containing fluorescence life information; converting the fluorescence decay curve of each pixel point in the image data into a coordinate point in a phasor diagram; calibrating the phasor diagram by using a standard sample, and determining a life parameter of each fluorescent component; and obtaining a mixed fluorescence signal, and separating and extracting information of each fluorescence component.

The invention relates to the field of biological medicine, and discloses a spinal cord injury assessment method and system based on an optical technology. The method comprises the following steps: synchronously acquiring a hyperspectral reflection image, a linear polarization scattering image and a time-resolved autofluorescence decay curve; respectively generating three types of feature maps representing tissue oxygenation, collagen microstructure disorder and mitochondrial dysfunction; a three-dimensional space-time coupling feature tensor is constructed through pixel-level registration, and key region response is enhanced through a damage sensitivity weighted convolution kernel; and finally, outputting 0-100 spinal cord injury quantitative indexes, and automatically judging the injury level according to a preset threshold value. The system integrates a multi-mode optical acquisition device and an intelligent analysis module, and supports real-time, objective and accurate evaluation in an operation. According to the method, through a sensitivity weighting mechanism of multi-scale quantitative characterization and data driving, the evaluation consistency, sensitivity and clinical interpretability are improved.

The invention relates to the technical field of medicinal material identification, in particular to a medicinal material authenticity identification method and system based on AI vision, and the method comprises the following steps: generating a candidate image through iteration, comparing the candidate image with a pure medicinal material decoction piece image, and adjusting the generation logic according to the comparison result. According to the method, the potential vector mapping relation consistent with the visual features of the pure medicinal material decoction piece image is constructed, anomaly extraction is performed in combination with the image reconstruction error, the perception of the doping position is enhanced, and the form or color slight deviation area can be positioned based on the image pixel-by-pixel reconstruction error mode, so that the accuracy of the extraction is improved. And extracting a thermal attenuation curve of the same-position infrared image sequence on the basis, completing quantitative modeling of heat conduction characteristics in space through fitting calculation of time constants, further calculating a space gradient of thermal attenuation time constants, realizing quantification of material thermal diffusion behavior boundary strength, and forming a thermal anomaly diffusion gradient map. And a physical character basis is provided for subsequent multi-map fusion.

The invention discloses an optical fiber-OSL-based mixed radiation field dose equivalent measurement method and device, relates to the technical field of radiation measurement, and solves the technical problem that the measurement of dose equivalent in a mixed radiation field is not accurate enough. According to the technical scheme, the method is characterized in that the average detection efficiency and the average energy transfer linear density in the mixed radiation field are obtained through fitting calculation of a luminescence decay curve of an OSL crystal, the actually measured dose is corrected, and therefore measurement of the dose equivalent of the mixed radiation field is achieved. The invention provides a new method for evaluating the dose of the space radiation field, realizes the accurate measurement of the dose equivalent of the mixed radiation field, and improves the measurement accuracy.

This invention relates to the field of pressure sensor performance verification technology, and discloses a sensor pressure performance verification method based on fatigue accumulation calculation. The method includes: real-time synchronous acquisition of the pressure load sequence and electrical signal sampling sequence of the sensor under test; identification of the response decay curve of the falling edge of the pressure pulse during the load history; and extraction of the recovery response time characterizing the physical hysteresis of the sensing element. The method also includes: determining the basic fatigue damage using a rainflow counting algorithm; establishing a sensitivity correction coefficient by combining the deviation between the recovery response time and the material characteristic model to calculate the fatigue accumulation; determining the output characteristic benchmark value and the allowable error range based on the fatigue accumulation; and outputting a warning signal by calculating the performance residual. This invention achieves coupled evaluation of external mechanical load and sensor measurement accuracy, effectively identifying the performance degradation state where the sensor's physical structure is not failed but the dynamic linearity index exceeds the tolerance.

The application provides a soil and rock embankment leakage flow rate detection method based on a single-hole dilution method, and breaks through the traditional technical bottleneck through multiple technical innovations: a precise tracer solution configuration is adopted, the injection mode is reasonable, forced convection mixing of the borehole water column is realized by using a pneumatic stirring mode, uniform diffusion of the tracer is realized, the water layering problem caused by manual stirring is completely eliminated, and the physical reliability of the conductivity decay curve is ensured; on the basis of the traditional dilution curve model, a borehole radius correction factor and a non-Darcy effect correction term are introduced, and an optimized flow rate formula is constructed, which compresses the error of more than 30% of the traditional method to within 5%, and significantly improves the accuracy of the vertical seepage profile output. The integrated closed-loop analysis of "tracer stratified injection-pneumatic homogeneous mixing-multi-node synchronous monitoring-flow field intelligent inversion" is realized, the dual defects of operation dispersion and theoretical limitation of the traditional single-hole method are overcome, and a quantifiable and reproducible quantitative diagnostic tool for embankment leakage channel positioning is provided.

The present application belongs to the technical field of dam internal hidden danger detection, and specifically provides a dam hidden danger electromagnetic data interpretation method and system based on anchoring effect, the core of which is to obtain the deviation curve of the detection target based on the anchoring curve, reflect the apparent resistivity distribution law according to the deviation curve, and deduce the dangerous area. Specifically, the original transient electromagnetic decay curve is collected; the decay curve is denoised, then the signal signal-to-noise ratio is evaluated and the waste channel is removed; the effective signal is subjected to time sequence synthesis processing, and the anchoring curve is screened out; the deviation curve is calculated based on the anchoring curve; the resistivity distribution model is constructed, and the reference curve is calculated; the deviation curve and the reference curve are multiplied according to the time sequence, and the inversion curve is obtained; based on the inversion curve, the apparent resistivity is calculated, and the cloud picture is obtained according to the apparent resistivity; based on the cloud picture, the dam hidden danger area is deduced. The present application can effectively improve the interpretation speed and accuracy of dam hidden danger detection data.

The application discloses a kind of prussian blue positive electrode material water characteristics test method, it is related to instrument analysis technical field.Utilize the different chemical environment hydrogen of nuclear magnetic resonance hydrogen spectrum H-NMR to hydrogen signal and after experiencing pulse excitation, free decay characteristic time is different, by thermogravimetric calibration and H-NMR free decay curve fitting, obtain prussian blue total water content and water distribution.When detecting the water characteristics unknown prussian blue sample, only need nuclear magnetic resonance hydrogen spectrum H-NMR detection obtains free decay curve, according to the calibration line that has been determined, total water content can be obtained;According to the characteristic decay time of different types of water that has been detected, free decay curve fitting, water distribution of the prussian blue sample to be measured can be obtained.Compared with thermogravimetric method, the test method obtains prussian blue water characteristics result test time short (only minute level), non-destructive to sample, test condition and operation method are simple, high accuracy and good stability, suitable for the rapid test of prussian blue water characteristics.

A kind of optical temperature measurement uncertainty calibration method, optical temperature measurement method and calibration device, the optical temperature measurement uncertainty calibration method includes: make target object be at different temperature, according to double exponential function and the fluorescence decay curve of target object at each temperature obtain the fluorescence lifetime of target object at each temperature;According to the fluorescence lifetime of target object at different temperature, obtain fluorescence lifetime function, fluorescence lifetime function indicates the function of the lifetime of fluorescence signal with temperature change;According to fluorescence lifetime function, obtain the temperature calculation uncertainty of target object at each temperature and the temperature experimental uncertainty of target object at each temperature;According to the temperature calculation uncertainty of target object at all temperatures and the temperature experimental uncertainty of target object at all temperatures, obtain the calibration function of the optical temperature measurement uncertainty of target object, calibration function is used to complete the determination of optical temperature measurement uncertainty.

The invention provides an iodine-131 treatment patient discharge monitoring system, and the method comprises the steps: carrying out the initialization modeling, and generating an initial attenuation curve based on a physical half-life period; introducing a composite attenuation model containing double components of physical decay and biological metabolism; periodically receiving actually measured environment dose rate data reported by the patient terminal; performing intelligent dynamic calibration on metabolic component parameters in the composite model by using time sequence measured data to generate a personalized dynamic attenuation curve; predicting a future accumulated exposure dose based on the curve and performing risk assessment; customized closed-loop safety intervention is automatically executed according to an evaluation result, and the method relates to the technical field of medical health information technology and radiation protection, and realizes conversion from static general management to dynamic precise intelligent protection by deeply fusing a theoretical physical model, an individual physiological metabolism model and real-time monitoring data. And the accuracy, the initiative and the compliance of radiation safety risk management are remarkably improved.

The invention provides an infrared thermal imaging detection method and system for stress cracks on the surface of a hybrid welding-milling workpiece, and relates to the technical field of manufacturing and detection.The method comprises the steps that the junction of the milling surface of the hybrid welding-milling workpiece to be detected and a welding heat affected zone is pretreated to obtain the pretreated surface to be detected; performing uniform thermal excitation on the pretreated surface to be detected in a pulse thermal excitation mode, and acquiring a dynamic thermal image sequence in a cooling process by using an infrared thermal imager; thermal attenuation curve characteristics of each pixel point in the cooling process are extracted by performing time sequence analysis on the dynamic thermal image sequence; according to the method, accurate identification and reliable detection of the stress crack in the key area of the hybrid welding-milling workpiece are realized.

The application relates to the field of biological medicine, and discloses a spinal cord injury evaluation and assessment method and system based on optical technology. The method comprises the following steps: synchronously collecting hyperspectral reflectance images, linear polarization scattering images and time-resolved autofluorescence decay curves; three types of feature maps representing tissue oxygenation, collagen microstructure disorder and mitochondrial dysfunction are respectively generated; three-dimensional space-time coupling feature tensors are constructed through pixel-level registration, and the responses of key regions are enhanced through damage sensitivity weighted convolution kernels; finally, a spinal cord injury quantitative index of 0-100 is output, and the damage grade is automatically determined according to a preset threshold. The system integrates a multi-modal optical acquisition device and an intelligent analysis module, and supports real-time, objective and accurate evaluation during operation. Through multi-scale quantitative characterization and a data-driven sensitivity weighting mechanism, the application improves the evaluation consistency, sensitivity and clinical interpretability.

The invention discloses a method for testing water characteristics of a Prussian blue positive electrode material, and relates to the technical field of instrument analysis. The total water content and the water distribution of the Pram are obtained through thermogravimetric calibration and H-NMR free attenuation curve fitting according to different free attenuation characteristic time of a hydrogen signal and hydrogen in different chemical environments after pulse excitation by utilizing H-NMR (nuclear magnetic resonance). When a Principal blue sample with unknown water characteristics is detected, a free attenuation curve is obtained only through H-NMR detection, and the total water content can be obtained according to the measured marked line; and fitting the free attenuation curve according to the characteristic attenuation time of the detected different types of water to obtain the water distribution of the to-be-detected Pulan sample. Compared with a thermogravimetric method, the test method has the advantages of short test time (only minute level) for obtaining the characteristic result of the Principal blue water, no damage to samples, simple test conditions and operation method, high accuracy and good stability, and is suitable for rapid test of the characteristics of the Principal blue water.

Provided is a method for evaluating a semiconductor sample, the method including: acquiring an attenuation curve by performing a plurality of times of measurement by a photoconductivity attenuation method on a semiconductor sample to be evaluated by changing a surface charge density; performing signal data processing on at least one attenuation curve among the attenuation curves obtained by the plurality of measurements using a model formula including an exponential attenuation term and a constant term; calculating the composite lifetime [tau] eff of the semiconductor sample according to an exponential decay formula obtained by processing the signal data; obtaining a quadratic function using a surface charge density-related value as a variable x and a value related to the constant term as a variable y on the basis of measurement results obtained by the plurality of measurements; and obtaining the surface composite lifetime [tau] s of the semiconductor sample according to the quadratic function.