448 results about "Calibration curve" patented technology

The invention provides a wavelength division multiplexing-fused multi-core optical fiber temperature detection method and system. Wherein the broadband light source is divided into multiple wavelength channels through wavelength division multiplexing, and a wavelength-fiber core mapping relation is established, so that each fiber core of the multi-core optical fiber transmits a single-wavelength optical signal. An optical fiber is integrated to the surface of an object according to a three-dimensional path, each fiber core covers a plurality of sensing sub-areas, the wavelength drift amount caused by temperature is extracted by detecting the attenuation characteristic of an optical signal at a bending position, the wavelength drift amount is converted into a temperature value in combination with a calibration curve, and a temperature gradient model bound with the fiber core position is constructed. And further performing spatial solution by using fiber core spacing, wavelength mapping and transmission time delay parameters, establishing a corresponding relationship between the coordinates of the sensing sub-regions and the temperature, and finally reconstructing three-dimensional temperature field distribution. According to the technical scheme provided by the invention, high-resolution dynamic reconstruction and gradient analysis of a three-dimensional temperature field on a complex surface are realized through wavelength-space two-dimensional decoupling.

The invention discloses a huge child risk prediction method based on machine learning, and the method comprises the following steps: S1, multi-modal clinical data acquisition, S2, data preprocessing, S3, multi-algorithm model training and optimization, S4, model evaluation and selection: evaluating the performance of each model based on the accuracy rate, the precision rate, the recall rate, the AUC and a calibration curve, selecting a model with optimal comprehensive performance as a target prediction model; and S5, risk prediction and explanation: inputting a to-be-predicted sample into the target prediction model, outputting a huge child risk prediction result, and quantifying the contribution degree of each feature to the prediction result through a SHapley addition explanation (SHAP) method. Through deep fusion of machine learning and clinical multi-modal data, the technical problems that an existing method is single in dimension, insufficient in interpretability and poor in basic level adaptability are solved, and a solution which is high in precision, explainable and easy to operate is provided for huge child risk prediction.

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 discloses a method for determining and analyzing primary and secondary elements in dolomite and magnesite based on ICP-AES (Inductively Coupled Plasma-Atomic Emission Spectrometry), and relates to the technical field of determination and analysis of the primary and secondary elements, the method comprises the following steps: obtaining determination samples of the dolomite and the magnesite, pretreating the determination samples, obtaining spectral line interference conditions of each element based on the determination samples, and determining the spectral line interference conditions of the elements based on the spectral line interference conditions; the method comprises the following steps: pre-processing measured data, drawing a calibration curve of each element, obtaining the interference condition of the calibration curve of each element, and carrying out ICP-AES measurement on the pre-processed measured data to obtain a characteristic spectral line. According to the method, the source and the influence degree of the interference spectral line are determined by analyzing the spectral line interference condition, then targeted measures are adopted for correction, and meanwhile, concentration measurement deviation caused by chemical interference, physical interference, ionization interference and other factors is found by evaluating element concentration interference factors, so that the accuracy of the concentration measurement is improved. And correction is carried out by means of optimizing a sample pretreatment method, adjusting instrument working conditions and the like, so that the reliability and the stability of the analysis method are improved.

The invention belongs to the technical field of isotope analysis, and particularly relates to a data correction method for measuring hydrogen and oxygen isotope components of plant water. The data correction method for measuring the hydrogen and oxygen isotope components of the plant water comprises the following steps: performing isotope spectrum measurement on the plant water to be measured to obtain delta18O plant water, delta2H plant water and residual R plant water; obtaining the corrected delta18O plant water in the to-be-detected plant water according to the correction curve formula 1; obtaining the corrected delta2H plant water in the plant water to be detected according to the correction curve formula 2; delta < 18 > O plant water correction = delta < 18 > O plant water-Y1 formula 1; delta 2H plant water correction = delta 2H plant water-Y2 formula 2. The correction method provided by the invention is simple to use, is widely applicable to the process of measuring the hydrogen and oxygen isotope component in the plant water by an isotope spectrometer, and can greatly improve the accuracy of a measurement result.

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 method, a system, equipment and a medium for determining impurity components in graphite ore, and relates to the technical field of component determination. The method comprises the following steps: preparing a standardized sample; respectively measuring a to-be-measured sample and the standardized sample by using an X-ray fluorescence spectrophotometer, and determining the elemental analysis line intensity of the to-be-measured sample and the elemental analysis line intensity of the standardized sample; performing regression analysis on the elemental analysis line intensity of the standardized sample by using a mathematical correction mode, and determining related parameters; the related parameters comprise a calibration curve constant and a spectral line overlapping interference correction coefficient; and content calculation is carried out based on the elemental analysis line strength of the sample piece to be detected and the related parameters, and the impurity components in the target graphite ore are obtained. The method provided by the invention can improve the determination precision of impurity components in graphite ore.

The invention relates to the technical field of biological medicine, in particular to construction and application of a candida patient death risk prediction model. The model is based on traditional SOFA scoring, core variables are screened through single-factor and multi-factor logistic analysis and LASSO regression analysis, respiratory system, blood coagulation function and circulatory system SOFA scoring and key indexes such as the maximum lactic acid value, the minimum albumin value and the maximum blood urea nitrogen (BUN) are integrated, and a prediction model is constructed through logistic regression. Through multi-center data verification, the AUC of an internal verification queue reaches 0.826, the AUC of an external verification queue is 0.813, and a calibration curve shows that the predicted death rate is highly consistent with the actual death rate. Patients can be divided into a high risk group and a low risk group through a 13-score threshold value, and the 28-day survival rate difference is significant (plt; 0.05) of the method. An efficient and convenient early risk assessment tool is provided for critical candida patients, and clinical precise intervention and prognosis improvement are assisted.

The invention provides a nondestructive testing method and system for a coarse grain layer on the surface of an aluminum alloy forge piece, and relates to the technical field of nondestructive testing. First surface temperature field time sequence data corresponding to a standard workpiece are collected, and according to the environment temperature, the workpiece heat conductivity, the workpiece specific heat capacity and detection environment parameters, the first surface temperature field time sequence data are obtained; generating a thermal response difference threshold calibration curve corresponding to the standard workpiece; performing eddy current induction heating on the to-be-detected workpiece at the same heating time as the standard workpiece and the preset workpiece interval, and collecting second surface temperature field time sequence data corresponding to the to-be-detected workpiece; comparing the temperature of each moment in the second surface temperature field time sequence data with the temperature of the moment corresponding to the thermal response difference threshold value calibration curve, and if the temperature difference value between the second surface temperature field time sequence data and the thermal response difference threshold value calibration curve exceeds a preset temperature threshold value, determining that the thermal response difference threshold value calibration curve does not exceed the preset temperature threshold value; and if so, determining that the coarse grain layer exists on the surface of the to-be-detected workpiece or the depth of the coarse grain layer on the surface of the to-be-detected workpiece exceeds the limit. According to the invention, the nondestructive detection precision of the metal workpiece can be improved.

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 discloses a method for measuring the sulfur content of low-sulfur alloy steel and application, relates to the technical field of alloy steel detection, and solves the problems that an existing method for detecting the sulfur content of the alloy steel is complex in operation and poor in precision, and the detection accuracy of steel with the low sulfur content is poor. The determination method comprises the following steps: providing a carbon-sulfur instrument, a low-sulfur-concentration sample, a medium-sulfur-concentration sample and a high-sulfur-concentration sample, respectively putting the three samples into the carbon-sulfur instrument, and carrying out first treatment to obtain an average value I1, an average value I2 and an average value I3; calculating an interference coefficient RE through the average value I1, the average value I2 and the average value I3, and inputting the interference coefficient RE into the carbon-sulfur instrument to obtain a calibration curve; a sample needing to be detected is taken and subjected to second treatment to obtain a mixture, the mixture is put into a carbon and sulfur instrument, a calibration curve is selected, and measurement is started till the end. The measuring method is simple to operate and high in precision. The method has the advantages that discreteness is obviously reduced, detected results are good in repeatability and stability, and the RSD value is low.

The invention discloses an analysis method for determining multiple components of white spirit by high performance liquid chromatography-tandem mass spectrometry, and relates to the technical field of white spirit analysis and detection, and the analysis method comprises the following steps: firstly, preparing an ethyl carbamate precursor substance standard stock solution and a mixed standard intermediate solution, and diluting the mixed standard intermediate solution step by step to obtain a mixed standard working solution; then determining chromatographic and mass spectrometry conditions, wherein BEH Ami chromatographic column is adopted as the chromatographic condition, and 0.1% formic acid water-acetonitrile is adopted as a mobile phase for gradient elution; a mass spectrum condition adopts a multi-reaction monitoring mode under an electrospray positive ion mode; drawing a quantitative calibration curve; finally, preparing a to-be-detected sample for content determination. According to the analysis method for determining the multiple components of the Baijiu through the high performance liquid chromatography-tandem mass spectrometry, through chromatographic condition optimization and mass spectrometry parameter innovation, the detection efficiency is improved, peak area data of urea, citrulline and arginine can be synchronously obtained through single sample injection, the analysis time is short, and quantification is accurate.

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.

The present invention makes it possible, when using a calibration curve of an IC analysis device or the like to analyze the content of sulfur and / or halogen contained in a sample, to perform the analysis with good precision without the use of a reagent such as hydrazine or hydrogen peroxide.　In the present invention, when preparing an absorption liquid to introduce into an analysis device, an absorption tube comprising an electrode for electrolysis is used, electrolysis is performed on an absorption liquid accommodated in the absorption tube, thereby performing oxidation or reduction of a target component in the absorption liquid, and the absorption liquid is then introduced into the analysis device.　

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 figure rocket launcher pitching transmission shaft torque dynamic detection method and system, and the method comprises the steps: enabling a stepping motor to drive a driving gear through a speed reducer to drive a pitching transmission shaft to rotate, and collecting a torque signal in real time through a magnetoelectric induction torque sensor; and the phase difference measuring unit converts the dual-channel sinusoidal signal into a square wave and calculates the phase difference, and then outputs a digital torque value through the analog-to-digital converter. And the control module adopts Kalman filtering and a calibration curve to realize dynamic compensation. The recording sub-module is provided with a high-capacity solid-state memory and supports continuous recording of detection data in a circulating storage mode. The differential sensing structure is adopted, the neodymium iron boron magnetic steel and the multi-layer winding signal coil design are combined, the detection precision of the micro torque fluctuation under the low-speed and heavy-load working condition is effectively improved, the technical problems of detection lag, transient impact missing detection, data tracing difficulty and the like existing in a traditional method are solved, and the detection precision of the micro torque fluctuation under the low-speed and heavy-load working condition is improved. And the safety monitoring capability of the rocket launcher transmission system is obviously enhanced.

The invention discloses a method and a system for calibrating the sensitivity of a receiving module of an electromagnetic positioning and tracking system, and belongs to the technical field of wireless electromagnetic positioning. The calibration method comprises the following steps: constructing a stable magnetic field calibration space with controllable frequency and intensity; placing a measured object in the calibration space, sensing a magnetic field signal of the calibration space by the measured object through a receiving coil, and processing the magnetic field signal to obtain data of the measured object; and sensitivity under different magnetic field intensities is calculated, drawing and fitting are carried out, and sensitivity parameters of the measured object are obtained. According to the method, the sensitivity of the receiving module of the electromagnetic positioning and tracking system can be accurately calibrated under different magnetic field intensities, the optimal calibration parameters are obtained through calibration curve fitting correction, and the absolute positioning accuracy of the electromagnetic positioning and tracking system is effectively improved.

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 method for testing the collision force of a bearing retainer, and belongs to the technical field of dynamic non-contact force measurement. The testing method comprises the steps that a piezoelectric material layer is arranged on the inner wall of a pocket of the bearing retainer, a photoelectric material layer is arranged on the end face of the bearing retainer, and the piezoelectric material layer is connected with the photoelectric material layer through a wire; acquiring the light intensity of the photoelectric material corresponding to different collision forces, and establishing a calibration curve of the corresponding relationship between the light intensity and the force; when the collision force of the bearing retainer is tested, in the operation process of a bearing, the illumination condition is kept unchanged, the change of the light intensity emitted by the photoelectric material is monitored in real time, and the collision force corresponding to the light intensity is obtained according to the calibration curve. Therefore, the collision force between the bearing pocket and the steel ball is measured in real time, and the test precision is high.