350 results about "Calibration curve" patented technology

The invention provides an optical sensing measurement method based on closed-loop adjustment of LED driving, and relates to the technical field of optical sensing. The method comprises the following steps: initializing a system; the microcontroller reads a current value of the analog-to-digital converter and calculates an error; calculating a new set value of the driving current of the light emitting diode according to the error; the microcontroller outputs the new set value to the digital-to-analog converter, the digital-to-analog converter controls the driving circuit to adjust the driving current of the light emitting diode, and after a preset time period, the current value of the analog-to-digital converter is collected; repeating the steps, when the error absolute value is smaller than a preset threshold value, judging that closed-loop convergence occurs, and recording the driving current at the moment and the current value of the analog-to-digital converter as measurement results; and obtaining the sample concentration according to the calibration curve and the driving current in the measurement result. According to the scheme, the dynamic range and the low-concentration precision are remarkably improved, LED aging and temperature excursion are inhibited, the circuit is simplified, and multiple groups of current-limiting resistors and multi-gear change-over switches are not needed.

The invention discloses a stomach cancer postoperative survival prediction model construction and verification method based on machine learning, and belongs to the technical field of medical and industrial combination. According to the technical scheme, the method comprises the steps of obtaining clinical data of postoperative patients of gastric cancer, preprocessing the clinical data, and dividing the data into a training set and a verification set; screening out independent risk factors through single-factor and multi-factor Cox proportional risk regression analysis; constructing and training a plurality of prediction models based on the independent risk factors; the model is evaluated through time dependence AUC, C-index, a calibration curve and Kaplan-Meier survival analysis; and selecting the model with the optimal performance as a final prediction model. The method has the beneficial effects that the constructed GBM prediction model remarkably improves the gastric cancer postoperative survival prediction accuracy, the model can effectively process a complex nonlinear relationship in clinical data, a clear and explainable prediction basis is provided by using the SHAP value, and the transparency and clinical credibility of the model are enhanced.

The invention provides a short bolt axial stress detection method and device based on electromagnetic ultrasonic resonance, and relates to the technical field of industrial fastener stress detection. The method comprises the following steps: determining a preset period and frequency of an excitation signal according to material characteristics of a to-be-measured short bolt, and calibrating resonant frequency and stress to obtain a calibration curve; classifying the lengths of the short bolts to be measured to obtain bolts with known original lengths and in-service bolts with unknown original lengths; based on the determined preset period and frequency, first-order resonant frequency corresponding to the bolt with the known original length is obtained through an electromagnetic ultrasonic transducer and a single-wave resonance method; based on the determined preset period and frequency, first-order resonant frequency corresponding to the in-service bolt with the unknown original length is obtained through an electromagnetic ultrasonic transducer and a double-wave resonance method; and calculating the axial stress of the corresponding short bolt to be measured according to the calibration curve and the first-order resonant frequency. The problems that in the prior art, the energy conversion efficiency is low, and the short bolt detection effect is poor are solved.

The invention relates to the technical field of metal materials, and discloses a spectral analysis monitoring method for aluminum alloy component detection, and the method comprises the following steps: carrying out standardized surface pretreatment on an aluminum alloy sample; collecting spectral data of the sample by adopting a laser-induced breakdown spectroscopy technology; performing noise filtering and background correction on the spectral data through a wavelet transform algorithm; establishing a spectral feature database for element qualitative identification; carrying out element quantitative analysis by adopting an internal standard method, and calculating the content of each element through a calibration curve; comparing a detection result with a standard mark component range to generate component conformity evaluation; performing deviation analysis and performance prediction on samples which do not meet the standard; and finally, generating a quality grading report based on the multi-dimensional evaluation indexes. According to the method, the accuracy of component qualitative identification is ensured, the detection error is reduced, the repeatability and efficiency of detection are improved, and the effectiveness of risk management and control and the overall reliability of a detection result are improved.

The invention discloses a method for testing heat treatment residual stress of a bearing ring based on nanoindentation, and belongs to the technical field of stress testing. The method comprises the following steps: establishing a calibration curve, preparing and testing a sample, and calculating residual stress. According to the method, the indentation work-residual stress quantitative calibration curve for the bearing steel is established through finite element simulation, the specific constitutive relation of materials is fully considered in the model, and system errors caused by mismatching of material parameters of a general model are eliminated. The change trend of the residual stress value calculated by the method is consistent with that of a prediction result of finite element analysis, and it is proved that the method can accurately, reliably and quantitatively characterize the residual stress distributed in the microscale after heat treatment.

The invention relates to the technical field of material performance detection, and discloses a non-destructive evaluation method and system for the strength of microorganism mineralized river sand, and the method comprises the following steps: applying a sweep frequency sound wave excitation signal to a microorganism mineralized river sand standard sample model; performing penetration simulation operation on the microorganism mineralized river sand standard sample model according to the sweep frequency sound wave excitation signal; extracting mineralization specific characteristic parameters corresponding to the sample model through the penetration response signal; according to the mineralization specificity characteristic parameters, constructing a biological cementation index of microorganism mineralization, and according to the biological cementation index, analyzing the compressive strength of the microorganism mineralization river sand standard sample model; constructing a destructive calibration curve of the microorganism mineralized river sand standard sample model; the target compressive strength of the to-be-tested sample model is analyzed through the destructive calibration curve, and the strength non-destructiveness of the microorganism river sand corresponding to the to-be-tested sample model is analyzed based on the target compressive strength. According to the method, the accuracy of non-destructive evaluation of the strength of the microorganism mineralized river sand can be improved.

The invention provides a power station boiler pipeline creep damage state characterization method and device based on magnetoacoustic detection, and the method comprises the steps: obtaining samples in different creep damage states, and carrying out the magnetoacoustic detection of the samples to obtain corresponding original magnetoacoustic signals; de-noising processing and characteristic parameter extraction are carried out on the original magnetoacoustic signal, and a first characteristic parameter x and a second characteristic parameter y are extracted; constructing a nonlinear mapping relation between the comprehensive creep state parameter z and the first characteristic parameter x and the second characteristic parameter y, and solving a polynomial coefficient through an optimization algorithm, so that the comprehensive creep state parameter z is monotonically increased along with the creep damage state t; and performing normalization processing on the comprehensive creep state parameter z to form a creep state normalized calibration curve t = f (x, y) for realizing quantitative characterization of the creep damage state of the power station boiler pipeline. According to the method, the normalized calibration curve of the creep state can be constructed based on the magnetoacoustic detection characteristic parameters, and the creep damage state characterization of the power station boiler pipeline is realized.

The invention provides an open-type comprehensive current sensor data analysis method, which comprises the steps of simulating asymmetric distribution of a magnetic field according to an actual offset coordinate of a guide mass center in a clamp opening coordinate system, and generating a magnetic field compensation coefficient about a current eccentric state; compensating the real-time magnetic field intensity data according to the magnetic field compensation coefficient related to the current eccentric state, and eliminating random noise to obtain calibrated symmetrical magnetic field signal distribution; generating a reference curve of dynamic measurement current and magnetic field conversion according to the optimized conductor eccentric position state description, and determining a current measurement calibration curve; performing conversion processing on the input magnetic field signal through the current measurement calibration curve so as to correct signal distortion caused by eccentricity, and obtaining a comprehensive current reading without eccentric interference; and according to the relevance between the comprehensive current reading without eccentric interference and historical reference current data, analyzing the stability of a current measurement state, and obtaining a real-time clamp operation state feedback record.

The invention discloses a rotating blade defect online monitoring and identifying method and system, and relates to the technical field of turbine blade state monitoring and diagnos.The method comprises the steps that vibration parameters of a to-be-calibrated moving blade are obtained; the vibration parameters comprise a first resonance parameter and first blade end offsets at different rotating speeds; the first resonance parameter comprises a first amplitude and a first frequency; establishing a calibration curve based on the vibration parameters; acquiring an actual rotating speed and a blade tip timing signal of the to-be-measured moving blade; on the basis of the actual rotating speed and the blade tip timing signal, actually-measured moving blade vibration parameters are determined; the actually measured moving blade vibration parameters comprise a second resonance parameter and second blade end offsets at different rotating speeds; the second resonance parameter comprises a second amplitude and a second frequency; and substituting actually measured moving blade vibration parameters into the calibration curve to obtain a defect identification result of the moving blade to be detected. According to the invention, quantitative monitoring and fault early warning of the health state of the blade can be realized.

The invention discloses a hydrogen leakage on-line detection system and method based on a quadrupole mass spectrometry technology, and belongs to the technical field of hydrogen detection.The detection system comprises a gas inlet module, a dynamic dilution module, a six-way valve quantitative sample injection module and a quadrupole mass spectrometry detection system, and rapid and sensitive quantitative detection of hydrogen can be achieved; the usage amount of gas standard substances and samples is saved, and the method is green, efficient and energy-saving. The detection method comprises the following steps: establishing a calibration curve, and calculating the concentration value of an unknown hydrogen sample according to the absolute signal intensity value of the unknown hydrogen sample. The gas standard substance with high concentration is diluted on line to obtain samples with different concentrations, and quantitative detection of trace hydrogen components can be reliably realized for samples with different pressures such as pipelines / gas cylinders, ambient air and the like. The device can be used for on-line measurement of hydrogen components in various industrial gases in high-pressure pipelines or steel cylinders, on-line monitoring of hydrogen leakage in hydrogen related places such as hydrogen refueling stations, and on-line measurement of hydrogen components in scenes such as closed spaces and field exploration.

The invention discloses a wide-temperature-range solid insulation space charge measurement method, and belongs to the technical field of electrical insulation test and dielectric physical measurement. A solid insulation sample is mounted between double-layer composite electrode modules in a closed high-low temperature test cavity, and a flexible compensation gasket is adopted to absorb thermal expansion difference; a PID closed-loop control system is utilized to realize accurate and stable control of the temperature of the sample in a wide temperature range; applying a direct-current bias voltage and pulse voltage superposition signal, and collecting an acoustic signal generated by space charge displacement through a wide-temperature-range PVDF piezoelectric sensor module; and based on a sound velocity and sensitivity temperature calibration curve established by a pre-experiment, carrying out deconvolution processing on a sound wave signal to correct a temperature dependence error, and finally obtaining accurate space charge density distribution at different temperatures. According to the invention, the precision and reliability of space charge measurement of the solid insulating material in a wide temperature range are effectively improved.

The invention provides a five-hole probe correction method, which is used for correcting a five-hole probe in a cascade test, a left side pressure measurement hole of the corrected five-hole probe is a first hole, a central pressure measurement hole is a second hole, a right side pressure measurement hole is a third hole, a lower pressure measurement hole is a fourth hole, and an upper pressure measurement hole is a fifth hole. The correction method comprises the following steps: S1, acquiring a calibration curve of the five-hole probe, and acquiring total pressure distribution of a cascade outlet; s2, calculating to obtain a corrected pressure measurement value of the first hole and a corrected pressure measurement value of the third hole; s3, obtaining a corrected yaw angle and a corrected pitch angle by using the calibration curve; and S4, obtaining a corrected total pressure value and a corrected static pressure value by using the calibration curve. According to the invention, the problem of measurement distortion of angle measurement and pressure measurement of the probe calibration curve obtained under the condition of uniform incoming flow in wake measurement with non-uniform actual circumferential total pressure is solved, and the airflow angle in the wake of the cascade can be measured more accurately.

Disclosed is a method for assessing nitrogen leaching risk based on farmland soil pressure, including the following steps: acquiring soil drilling pressure data from a plurality of soil layers of different depths on soil to be tested using a soil drilling device, to obtain raw soil drilling pressure data; comparing a calibration curve with a raw soil drilling pressure curve; setting an interquartile range (IQR) coefficient based on a first fluctuation factor and a second fluctuation factor, and constructing a box plot of the raw soil drilling pressure data based on the IQR coefficient; and determining a peak soil drilling pressure according to the box plot of the raw soil drilling pressure data, and determining nitrogen leaching risk according to a depth interval of soil layer. The box plot is utilized to filter out abnormal values, ensuring the accuracy of assessing the nitrogen leaching risk in soil.

Methods and computing apparatus for implementing a radiation dosimetry process. An example process may include exposing a first radiation sensitive film to a series of known doses of radiation, measuring a first set of radiation data with a measurement device, and determining a calibration curve. The calibration curve may be determined by selecting Raman spectral ranges based on the first set of radiation data, determining a plurality of band area ratios, and generating the calibration curve based on plotting the band areas and ratios compared to known dose. The radiation dosimetry process then exposes a second radiation sensitive film to an unknown dose of radiation, measures a second set of radiation data for the second radiation sensitive film with the measurement device, and determines a dose exposure level for the second radiation sensitive film by comparing the second set of radiation data with the calibration curve.

The invention discloses a portable gas chromatographic peak automatic identification and integration method. According to the method, filtering processing is carried out on the obtained hydrogen flame ionization detector signal based on wavelet transform, a smooth curve is reconstructed, and a peak searching threshold value is dynamically adjusted by using a dynamic threshold value method based on the hydrogen flame ionization detector signal. And carrying out peak searching processing on the smooth curve based on the determined peak searching threshold. And carrying out secondary screening adjustment on the preliminary peak searching result, and calculating the chromatographic peak area. And finally, performing chromatographic peak matching according to the target compound retention time set by a user, and converting the peak area of each matched chromatographic peak into concentration according to the calibration curve information. According to the invention, the dynamic self-adaption of the detection threshold is realized, so that the detection threshold can adapt to chromatographic signals with different signal-to-noise ratio levels.

The invention discloses a qualitative and quantitative detection method for vitamin A and vitamin E in food. The qualitative and quantitative detection method comprises the following steps: step 1, pre-treating a sample and accurately adding an isotope internal standard: adding d6-alpha-tocopheryl acetate and d8-retinol acetate into the sample before saponification and preparing a blank matrix; 2, pre-treatment parameter QbD-DOE collaborative optimization, wherein a response surface method is adopted for conducting center composite design on the saponification temperature, time and BHT concentration, and the interaction effect of all the factors is analyzed to determine an optimal operation window; step 3, intelligently optimizing chromatography-mass spectrometry conditions and tuning parameters; step 4, constructing a matrix matching calibration curve and performing WLS quantitative analysis: performing gradient dilution on a standard substance by utilizing a blank matrix extracting solution, adding an isotope internal standard to prepare a 5-7-point matrix matching calibration curve, fitting the curve by adopting a weighted least square method, and verifying the correlation and intercept change of the calibration curve every day; and 5, multi-dimensional qualitative confirmation and intelligent diagnosis system operation.

The invention discloses a detection method and a detection system for the cracking gas concentration of a transformer insulating material. The detection method comprises the following steps: performing headspace treatment on to-be-detected insulating oil to realize oil-gas separation in a sample; then the mixed gas is separated through a chromatographic column, the concentration of the dissolved gas is detected and analyzed through a mass spectrometry detector, and the cracking gas comprises at least one of methane, ethane, ethylene, acetylene, hydrogen, carbon monoxide or carbon dioxide. The method specifically comprises the following steps: preparing a to-be-detected insulating oil sample, and treating the to-be-detected insulating oil sample by adopting headspace to realize oil-gas separation in the sample; separating the mixed gas by adopting a chromatographic column, and then detecting and analyzing the dissolved gas by adopting a mass spectrometry detector; preparing a standard gas for dissolving the gas, establishing a calibration curve, and quantitatively calculating the concentration of the cracking gas through the calibration curve. The method can accurately detect methane, ethane, ethylene, acetylene, hydrogen, carbon monoxide and carbon dioxide gases, and has the characteristics of high detection sensitivity, good repeatability, simplicity and convenience and the like.

The invention discloses a combined determination method for the tin content of iron ore, which is characterized by comprising the following steps: drawing a calibration curve; selecting measurement parameters of an instrument; weighing a sample; sample melting: uniformly mixing the weighed sample with a mixed flux in a certain proportion, and melting in a muffle furnace; extracting a sample: extracting the fused sample by using hydrochloric acid, and fixing the volume for detection; and sample determination: determining by using an inductively coupled plasma emission spectrometer, determining the intensity value of each element by drawing a standard curve method, and calculating the final content of the element according to a calibration curve made by a standard solution. The invention aims to provide the combined determination method for the tin content of the iron ore, through experiments, the accuracy of determining the standard substance and the tin element of the tin-containing iron ore can be guaranteed, and through standard recovery experiments, the recovery rate is 95% or above. The method is used for production practice, and is an effective and practical method.

A calibration curve solution production system that produces and supplies a calibration curve solution for creating a calibration curve to a measurement device that uses the calibration curve to measure the total organic carbon concentration of a liquid to be analyzed. The system includes an analyte line that conducts the liquid to be analyzed to a TOC analyzer, a standard solution line that conducts a standard solution to the analyte line, a mixing unit installed on the analyte line that mixes the diluent and the standard solution to dilute the standard solution and supplies to the TOC analyzer the mixture of the diluent and the standard solution mixed in mixing unit as the calibration curve solution.

The present invention provides a quantitative measurement method using competitive immunochromatography, which has not been previously reported. The quantitative measurement method comprises: (1) creating a calibration curve based on the signal intensity of a test line according to the concentration of a standard material by using multiple strips, and calculating the concentration of a target analyte by using the calibration curve; (2) when the concentration of the target analyte increases to a significant level on the calibration curve of the standard material, a labeled signal of a detection ligand on a control line remains unchanged in a case where a detection ligand of a target analyte-detection ligand conjugate binds to and saturates a capture ligand on the control line, making it impossible to estimate the concentration beyond that level; however, by designing a binding site for the capture ligand on the control line to be the target analyte of the target analyte-detection ligand conjugate, a high concentration of the target analyte breaks down the triple conjugate of detection ligand-target analyte-capture ligand, leading to dissociation of the labeled detection ligand and thereby weakening the signal (hook effect); and (3) comparing the signal intensity patterns of the test line and the control line according to the calibration curve of the standard material with the signal intensity pattern of a sample target analyte, and determining how far the target analyte is from the saturation point of the detection ligand. This method is characterized in that, in cases where the target analyte is present in an excessively large amount and exceeds the maximum value of a measurement range (dynamic range) of the calibration curve, the calibration curve using multiple strips and the configurations (test line and control line) of an immunochromatographic device are designed differently to distinguish such cases.

This invention provides a method, apparatus, device, and medium for correcting control rod calibration curves. The correction method includes: acquiring a reference temperature curve during a load reduction period; correcting the reference temperature curve based on the negative reactivity introduced by xenon to generate a xenon correction curve; calculating an overheat correction curve based on a set balance coefficient, a primary loop completely untracked curve, and the xenon correction curve; calculating the power data in the overheat correction curve and its corresponding overheat correction power data based on the overheat correction curve and the reference temperature curve, and generating an overheat correction parameter set; and correcting the control rod calibration curve based on the overheat correction parameter set to generate a corrected control rod calibration curve. The method, apparatus, device, and medium provided by this invention can correct control rod calibration curves to adapt to different generating units.

The invention belongs to the technical field of component detection, and particularly relates to a method for detecting volatile components of mutton based on ITEX-GC-IMS. Comprising the following steps: incubating a sample to be detected to obtain a pretreated sample; performing ITEX headspace sampling on the pretreated sample, performing GC-IMS analysis, and establishing a calibration curve of retention time and retention index of a target object; calculating a retention index of the target object through the retention time of the target object, and comparing the retention index with a retention index database and an IMS migration time database to obtain qualitative analysis of the target object; wherein the parameters of the ITEX headspace sample injection are as follows: the sample injection volume is 500L; the hatching rotating speed is 500r / min; the filling material is Tenax TA 80 / 100 mesh; the temperature of a sample injection needle is 130 DEG C; the dynamic frequency is 12; the adsorption temperature is 40 DEG C; and the desorption temperature is 150 DEG C.

The invention discloses a method for rapidly detecting the type and content of bacteria in gas based on a Raman spectrum technology, and relates to the technical field of microbiological detection.The method comprises the steps that a gas sample is collected, dried and dewatered, and the sampling volume is determined; the method comprises the following steps: pre-filtering a gas sample, guiding the pre-filtered gas sample to a low-background filter membrane to enrich bacteria, and irradiating the enriched bacteria on the low-background filter membrane by adopting near-infrared laser to generate a scattered Raman signal; raman signals are collected, and only light in a bacteria Raman characteristic peak interval is allowed to pass through in cooperation with a narrow-band optical filter; performing feature extraction and pattern recognition on the Raman signals, classifying to judge the types of bacteria, comparing the intensity of the Raman signals with a calibration curve of bacteria with known concentration, and calculating the concentration of the bacteria in the gas in combination with the sampling volume. Through exclusive gas sampling pretreatment and surface enhanced Raman scattering and fusion of representative Raman peak intensity, rapid bacteria detection with strong interference resistance, stability, reliability, low detection limit, high quantitative accuracy and cross-batch comparability is realized.

A degree of polarization of second reference samples produced by adding an antibody, a tracer, and a target substance having mutually different concentrations to a first reference sample not including the target substance is corrected with a degree of polarization of the first reference sample to generate a first calibration curve. A degree of polarization of a second sample to be measured produced by adding the antibody and the tracer to a first sample to be measured in amounts equal to those added to the second reference samples is corrected with a degree of polarization of the first sample to be measured to obtain the concentration of the target substance in the first calibration curve.

Methods of photodiode array spectrometer calibration include acquiring a first spectrum using a first spectral source of a spectrometer; finding spectral data points at pixel locations from the first spectrum; replacing the first spectral source with a second spectral source in the spectrometer; finding spectral data points at pixel locations using the second spectral source; selecting one or more of the spectral data points; generating a calibration curve by fitting the selected spectral data points to one or more functions of the calibration curve; and using the selected spectral data points and the calibration curve to calibrate the spectrometer.

To provide a calibration curve generation device, a calibration curve generation method and a calibration curve generation program, capable of reducing an erroneous determination of an inspection result by an inspection device.SOLUTION: A calibration curve generation device generates a calibration curve to be referred to by an inspection device configured to inspect an article according to a spectroscopic spectrum of the article measured by a spectrophotometer. The calibration curve generation device includes a calibration curve calculation unit configured to calculate a calibration curve from a plurality of absorption spectra respectively obtained by the spectrophotometer for a plurality of articles, and known true values for the plurality of articles. The calibration curve calculation unit classifies component data composing each absorption spectrum of the plurality of absorption spectra into wavelength data D1 to D3 by wavelength, and removes a piece of the component data of a wavelength at which a prescribed condition is not met by wavelength data from the plurality of absorption spectra to calculate a calibration curve.SELECTED DRAWING: Figure 2

The invention discloses a phased array detection process and verification method of a gas production tree drift diameter flange sealing surface simulation test block, and relates to the technical field of petroleum and natural gas wellhead device detection, and the phased array detection process comprises the following steps: S1, obtaining a test block design reference; s2, obtaining sound velocity parameters and baseline echo data; s3, obtaining a scanning parameter table matched with the defect type; s4, obtaining a TCG calibration curve and gain setting for detection; s5, obtaining original time sequence echo data and imaging data; s6, generating a final detection result and a verification report; according to a defect type scanning scheme, 100% detection of sealing surface corrosion and bolt hole transverse and longitudinal cracks is realized, and no detection blind area exists; the quantitative precision is high, specifically, the defect quantitative error is controlled within + / -1.1 mm through targeted TCG calibration, and the precision is improved by 40% compared with that of a conventional process; based on a standardized verification process of a fixed model test block, different operators use the same equipment for detection, and the data variation coefficient is less than or equal to 5%; and the adaptability is high.

To provide a gas detector that can easily detect mixed gases with high accuracy, and that can calibrate the gas sensor without using actual gas. [Solution] The system is configured to include a sensitivity setting unit 121 that sets the sensor sensitivity of the gas sensor 110 for a gas to be measured, selected from among multiple types of mixed gases in which the first to nth gas components (where n is an integer of 2 or more) are mixed in different proportions, based on composition data relating to the gas to be measured and sensitivity data relating to the sensor sensitivity of the gas sensor 110 for each of the first to nth gas components, and a calibration curve data acquisition unit 122 that acquires calibration curve data for the gas to be measured based on composition data relating to the gas to be measured and reference calibration curve data for each of the first to nth gas components.

This invention relates to the field of fatty acid detection technology, specifically to a method for determining 11 polyunsaturated fatty acids based on LC-MS / MS. The method includes: preparing a calibration solution; hydrolyzing bound fatty acids in a blood sample, adding a precipitant, centrifuging, and collecting the supernatant as the test sample; detecting the test sample using liquid chromatography-tandem mass spectrometry, and substituting the detection results into the calibration curve equation to obtain the content of the 11 polyunsaturated fatty acids in the test sample. This method can rapidly and accurately detect the content of 11 polyunsaturated fatty acids, providing a more accurate basis for clinical diagnosis and assisting in the early detection and treatment of diseases; at the same time, it can also provide more targeted nutritional advice to individuals, promoting health management.

To provide a particle size measurement method, a calibration curve creation method, and a particle size measurement device, which are simple in operation and do not require a power supply.SOLUTION: A method for measuring a particle diameter of a measurement target particle, comprising: a voltage change measuring step of adding a plurality of times the measurement target particle to a lower concentration electrolytic solution of a concentration cell including two electrolytic solutions having different concentrations and two electrodes respectively immersed in the electrolytic solutions and connected to each other; a reference particle concentration determining step of determining a reference particle concentration at a predetermined reference voltage change value based on a voltage change obtained in the voltage change measuring step; and a particle diameter determining step of determining a particle diameter of the measurement target particle based on the reference particle concentration and a calibration curve indicating a relationship between particle diameters and reference particle concentrations prepared in advance for the concentration cell.SELECTED DRAWING: Figure 1