22 results about "Linear coefficient" patented technology

The invention provides a multilevel feature analysis method of a three-dimensional geologic structural plane and related equipment, and the method comprises the steps: carrying out the modeling of a geologic body structural plane according to the coordinates of a known point on the constructed geologic body structural plane, so as to construct a geologic trend plane, and extracting a remaining trend plane from the geologic body structural plane; determining a radial basis function in the initial implicit function of the geological trend surface and solving a linear coefficient item to obtain an implicit function of the geological trend surface including smooth item constraint; adjusting a weight constrained by a smooth item in the implicit function of the geological trend surface to obtain a multistage trend surface feature function of the geological structural surface, and substituting the multistage trend surface feature function into position coordinates of all points on the geological body structural surface to obtain a feature implicit function value corresponding to each point; and based on the feature implicit function values corresponding to all the points, a multi-level feature analysis result of the geologic body structural plane is obtained, and the problem of accurate fitting of the three-dimensional geologic structural plane under the condition that the known points are few is solved.

The present invention discloses a non-destructive testing stress evaluation method based on the static component of non-linear ultrasonic Lamb waves, belonging to the technical field of stress detection, including: S1. Construct a Rayleigh-Lamb equation introducing the non-linear theory of elastic bodies, and then determine the Lamb wave dispersion curve of the plate to be detected, and determine the excitation frequency and excitation mode of the excitation source according to the Lamb wave dispersion curve; S2. Excite the Lamb wave with the determined excitation frequency and excitation mode at one end of the stress detection area of the plate to be detected, and receive and extract the corresponding signal through the other end of the stress detection area; S3. Reverse the phase of the extracted signal, and re-excite and receive the signal with the reversed phase; S4. Process the received signal and calculate the ultrasonic non-linear coefficient as an evaluation parameter for the stress state of the plate to be detected. The fundamental wave frequency and mode of the present invention are more flexible in selection, can measure the relevant parameters of high-attenuation materials, and can effectively evaluate the early damage and stress state inside the materials.

The application relates to the technical field of inductive synchro technology, and discloses an inductive synchro temperature self-adaptive compensation method, device and equipment, wherein the method comprises the following steps: determining initial linear coefficients of an initial linear model; acquiring a current environment temperature and a current measurement angle of the inductive synchro, and determining initial iteration parameters of the initial linear model according to the current environment temperature and the current measurement angle; iteratively updating the initial linear coefficients according to the initial iteration parameters to obtain target linear coefficients, wherein data format conversion is performed in each iteration updating process, and the next iteration is performed according to the conversion result; updating the initial linear model based on the target linear coefficients to obtain an updated target linear model, and determining a measurement angle compensation value of the inductive synchro according to the target linear model. The application can realize high-precision and self-adaptive real-time temperature compensation of the inductive synchro in a hot vacuum environment, and simultaneously adapt to the hardware design and reliability requirements of an aircraft.

The present invention proposes a powder standard sample comprising at least one of titanium carbonitride, titanium carbide, and titanium nitride; wherein the nitrogen content is 3% to 22%, the oxygen content is less than 1.0%, the hydrogen content is less than 0.05%, and the total impurity elements are less than 0.2%. When the powder standard sample is used for testing, the data is fitted into a working curve using a linear regression method with a linear coefficient of 0.9998, indicating good linearity. The resulting working curve meets the high nitrogen analysis range of refractory metals such as tungsten, titanium, tantalum, and niobium, as well as ceramic alloy samples, and provides stable, accurate, and reliable test results.

The embodiment of the invention discloses an infrared band multi-mode calibration method and device. The method comprises the following steps: calculating a point spread function (PSF) of an original infrared image, and generating a spatial response matching filter function (SRMF) according to the PSF; carrying out two-dimensional convolution calculation on the SRMF to obtain an infrared image after effective space calibration; generating a possible spectral response function of ice pollution, and evaluating an optimal ice pollution spectral response through a cross calibration method; according to the optimal ice pollution spectral response, a spectral response function after possible spectral offset is generated, the optimal possible spectral offset is evaluated through a cross calibration method, and a spectral response function after spectral calibration is obtained through optimal sampling; calculating a linear coefficient, a nonlinear coefficient and a constant coefficient of radiometric calibration; and according to each coefficient of radiometric calibration, calculating the radiation quantity of the infrared image after multi-modal calibration. The method can overcome the existing problems and promote the quantification and multi-source fusion application of the satellite infrared data.

The invention discloses a test operation management system suitable for an automobile temperature sensor, and belongs to the technical field of automobile temperature sensor test and evaluation. A static test module and a dynamic test module are used for testing the temperature sensor in multiple aspects from static to dynamic; a temperature difference floating value and a voltage difference floating value of a temperature sensor under a stable condition are obtained through static testing, and test objects are divided into qualified objects and objects to be detected through comprehensive analysis, namely screening is carried out before dynamic testing; a normal thermal response coefficient and a normal linear coefficient of the temperature sensor under an unstable condition are obtained through dynamic testing, a dynamic performance coefficient is generated through the normal thermal response coefficient and the normal linear coefficient, and whether performance detection of a qualified object meets requirements or not is judged and analyzed according to the dynamic performance coefficient; and in the test process, test abnormal results are verified and analyzed through the static troubleshooting module and the dynamic analysis module, so that the test accuracy is effectively improved.

The embodiments of the present disclosure disclose an infrared waveband multi-modal calibration method and device. The method comprises: calculating a point spread function (PSF) of an original infrared image, and generating a spatial response matching filter function (SRMF) according to the PSF; performing two-dimensional convolution calculation on the SRMF to obtain an infrared image after effective spatial calibration; generating a possible spectral response function affected by ice pollution, and evaluating an optimal ice pollution spectral response by a cross-calibration method; generating a possible spectral response function after possible spectral shift according to the optimal ice pollution spectral response, and evaluating an optimal possible spectral shift amount by the cross-calibration method, and obtaining a spectral response function after spectral calibration by optimal sampling; calculating a linear coefficient, a nonlinear coefficient and a constant coefficient of radiation calibration; and calculating an infrared image radiation after multi-modal calibration according to the coefficients of radiation calibration and. The method can overcome existing problems and promote quantitative satellite infrared data and multi-source fusion application.

The invention provides a potential evapotranspiration estimation method and system, and the method comprises the steps: substituting corrected potential evapotranspiration observation data into a potential evapotranspiration Penman model based on a wind function, and carrying out the inversion of an equivalent wind function label. And training a machine learning model by using the equivalent wind function label, the meteorological data and the earth surface data, and outputting a nonlinear wind function by using an estimation model based on the meteorological data and the earth surface data of the target station. And replacing a wind function in the potential evapotranspiration model with a nonlinear wind function, and outputting a potential evapotranspiration estimation result based on the potential evapotranspiration model after replacement. By learning an equivalent wind function, dependence on a complex and non-migratable resistance network is partially avoided. By learning a nonlinear wind function, the regional limitation of a traditional linear coefficient is overcome, and robust generalization is guaranteed. A data-driven wind function is embedded into a potential evapotranspiration model in a physical item replacement mode instead of end-to-end black box regression, so that the traceability of model output is ensured, and the model can be butted with an existing service system.

The invention relates to a KAN-based tropical cyclone strength change mechanism analysis method and device, and belongs to the technical field of TC strength change prediction. The method comprises the steps that a factor recursive pruning algorithm based on a KAN2.0 attribution score is adopted, and a high-impact forecasting factor set for TC intensity change forecasting is screened and obtained; performing factor contribution analysis based on symbolization regression by using KAN2.0 trained by a high-impact forecasting factor set, obtaining a complete linear equation from high-impact forecasting factors to TC intensity change, and calculating the TC intensity change according to the symbols and absolute values of various linear coefficients in the equation; and quantitatively analyzing the contribution direction and contribution degree of each high-influence forecasting factor to the TC intensity change. According to the method, the stability, the accuracy, the generalization ability and the interpretability of TC intensity forecasting can be effectively improved.

This invention provides a concrete column deflection measuring device, a concrete column deflection measuring method, and a program that can improve the accuracy of estimating the deflection amount of concrete columns. [Solution] The concrete column deflection measuring device enlarges an image of a concrete column horizontally and receives coordinates for four or more parts of the enlarged concrete column image, including the top and ground level, as specified by the user. Using the image enlargement ratio obtained by horizontally enlarging the image and the conversion ratio of the coordinates of the top of the concrete column corresponding to the ground height of the concrete column, the device calculates the true value of each received coordinate. Based on the complex number corresponding to the true value of each coordinate and the complex number of the inclination angle in the linear coefficient of the cubic equation containing the true value of each coordinate, the device calculates each coordinate as a new coordinate when the ground level is perpendicular to the ground surface. Based on the cubic equation containing the newly calculated coordinates, the device calculates the deflection amount of the concrete column and outputs the calculated deflection amount.

This invention provides a concrete column deflection measuring device, a concrete column deflection measuring method, and a program that can improve the accuracy of estimating the deflection amount of concrete columns. [Solution] The concrete column deflection measuring device enlarges an image of a concrete column horizontally and receives coordinates for four or more parts of the enlarged concrete column image, including the top and ground level, as specified by the user. Using the image enlargement ratio obtained by horizontally enlarging the image and the conversion ratio of the coordinates of the top of the concrete column corresponding to the ground height of the concrete column, the device calculates the true value of each received coordinate. Based on the complex number corresponding to the true value of each coordinate and the complex number of the inclination angle in the linear coefficient of the cubic equation containing the true value of each coordinate, the device calculates each coordinate as a new coordinate when the ground level is perpendicular to the ground surface. Based on the cubic equation containing the newly calculated coordinates, the device calculates the deflection amount of the concrete column and outputs the calculated deflection amount.

The invention relates to the technical field of flow detection, in particular to a flow detection system based on a silicon diaphragm and a piezoresistor. The system comprises a fluctuation change unit, a linear coefficient unit, a calculation compensation unit and a flow deformation unit. The linear coefficient unit calculates the sensitivity of the piezoresistive sensor according to the compensated resistance change and judges the response speed performance of the piezoresistive sensor, when the response speed performance of the piezoresistive sensor is high, the resistance average value is calculated according to the resistance value of the silicon diaphragm, and the resistance residual error square is calculated according to the resistance average value; the total resistance square is calculated according to the predicted value, the resistance linear coefficient is calculated by using the resistance residual square and the total resistance square, and calculation is performed according to the compensated data, so that errors caused by temperature fluctuation can be effectively reduced, and the measurement accuracy is further improved; meanwhile, the resistance linear coefficient is calculated under the condition that the response speed performance of the piezoresistive sensor is high, the linearity of the resistance can be accurately quantified, and therefore the measurement precision is improved.

The invention provides an orthogonal matching pursuit algorithm-based ultrasonic non-linear metal material microcrack size detection method. The method comprises the following steps: step 1, preparation before detection; step 2, ultrasonic signal emission and reception for microcrack detection; step 3, signal processing and analysis; according to the invention, through a one-transmitting and one-receiving ultrasonic excitation and receiving mode, data processing is carried out on a received signal, so that the size of the microcrack on the surface of the metal material is detected; an orthogonal matching pursuit algorithm is introduced to research an upper computer signal processing method, and accurate calculation of a nonlinear coefficient is achieved. The method has the advantages of high microcrack detection precision, high detection applicability and wide detection range, and is suitable for accurate detection of the microcrack size of the material in service.

The present invention provides a method and system for analyzing the causes of surface water pollution based on the distribution of multi-source composite relationships. The method includes: Step 1, obtaining the time series of hydrological, pollutant concentration, and index factor monitoring data of surface water control sections; Step 2, data interpolation and normalization processing; Step 3, expressing the pollutant concentration as a linear superposition of the first-order terms and second-order partial derivative terms of various influencing factors; the direct relationship between the change of the influencing factor and the change of the pollutant concentration is described by the first-order partial derivative term, and the influence of the multi-factor composite action on the pollutant concentration during the formation process of the pollutant is described by the second-order partial derivative term; Step 4, spreading the change mechanism of the pollutant under the multi-factor composite action into a linear superposition form to determine the influence degree of various factors on the change of the pollutant concentration; Step 5, using multiple linear estimation to determine the linear relationship between the pollutant concentration and the first-order and second-order derivatives of the influencing factors, and realizing the analysis of the causes of surface water pollution according to the linear coefficients of each influencing factor.

The invention discloses a two-stage hysteresis and coupling compensation method and device for a fast reflecting mirror, and solves the technical problem that the existing hysteresis compensation method for the fast reflecting mirror cannot counteract irregular nonlinear errors during compensation, so that the compensation precision is poor. The method comprises the following steps: when hysteresis compensation needs to be carried out on the fast reflecting mirror, constructing a fast reflecting mirror full-stroke hysteresis loop data set and segmenting the fast reflecting mirror full-stroke hysteresis loop data set to obtain a plurality of ascending and descending hysteresis segmentation intervals; constructing a corresponding linear coefficient lookup table based on the intervals; determining parameters such as a current pointing error and a target trajectory angle, and extracting a target local linear coefficient according to a voltage working state; calculating a first-stage compensation voltage and measuring a compensation angle, and constructing LSTM training data; and training the LSTM based on a Bayesian optimization algorithm, testing the fast steering mirror through the trained model in combination with the first-stage compensation voltage, and outputting a final compensation angle.

An integrated circuit (IC) die structure comprises a substrate material comprising silicon. Integrated circuitry is over a first side of the substrate material. A composite layer is in direct contact with a second side of the substrate material. The second side is opposite the first side. The composite layer comprises a first constituent material associated with a first linear coefficient of thermal expansion (CTE), and a first thermal conductivity exceeding that of the substrate. The composite layer also comprises a second constituent material associated with a second CTE that is lower than the first, and a second thermal conductivity exceeding that of the substrate.

The application relates to the technical field of flow detection, in particular to a flow detection system based on a silicon diaphragm and a piezoresistance. The flow detection system comprises a fluctuation change unit, a linear coefficient unit, a calculation compensation unit and a flow deformation unit. The linear coefficient unit calculates the sensitivity of the piezoresistance sensor according to the resistance change after compensation, judges the response speed performance of the piezoresistance sensor, calculates the average value of the resistance according to the resistance value of the silicon diaphragm when the response speed performance of the piezoresistance sensor is fast, calculates the residual square of the resistance according to the average value of the resistance, calculates the total square of the resistance according to the predicted value, calculates the linear coefficient of the resistance by using the residual square of the resistance and the total square of the resistance, and calculates by using the data after compensation, so that the error caused by temperature fluctuation can be effectively reduced, the measurement accuracy is further improved, and the linear degree of the resistance can be accurately quantified by calculating the linear coefficient of the resistance when the response speed performance of the piezoresistance sensor is fast, thereby improving the measurement precision.

The invention specifically relates to a method for testing and evaluating the aging performance of a metal oxide resistor disc, and relates to the technical field of performance evaluation of metal oxide resistor discs, and the method comprises the following steps: respectively obtaining a macro-loss value and a micro-loss value after macroscopic and microscopic analysis of a sample, carrying out normalization processing on the macro-loss value and the micro-loss value, and calculating the aging performance of the metal oxide resistor disc; a failure mechanism coefficient is obtained after weighted summation calculation, and a corresponding quality grade is matched based on the failure mechanism coefficient. The method comprises the following steps: constructing a digital twin baseline fusing electricity, a microstructure and thermal characteristics; electrical parameters such as a volt-ampere characteristic curve and a nonlinear coefficient are accurately obtained through standardized testing, microscopic data such as grain morphology and element distribution and thermal characteristic data such as steady-state temperature rise and temperature uniformity are analyzed, and a multi-dimensional reference system is formed; and an accurate reference is provided for aging comparison, and evaluation is ensured to be changed from single-parameter judgment to multi-dimensional comprehensive analysis.

The application discloses a two-stage hysteresis and coupling compensation method and device for a fast mirror, and solves the technical problem that the existing hysteresis compensation method for the fast mirror cannot offset irregular nonlinear errors during compensation, thereby causing poor compensation accuracy. The method comprises the following steps: when hysteresis compensation is needed for the fast mirror, a full-stroke hysteresis loop data set of the fast mirror is constructed and segmented to obtain a plurality of ascending and descending hysteresis segmented intervals; a corresponding linear coefficient lookup table is constructed based on the intervals; parameters such as a current pointing error and a target trajectory angle are determined, and target local linear coefficients are extracted according to a voltage working state; a first-stage compensation voltage is calculated, a compensation angle is measured, and LSTM training data are constructed; the LSTM is trained based on a Bayesian optimization algorithm, the fast mirror is tested by combining the first-stage compensation voltage through the trained model, and a final compensation angle is output.

The invention relates to the technical field of inductosyn, and discloses an inductosyn temperature self-adaptive compensation method, device and equipment, and the method comprises the steps: determining an initial linear coefficient of an initial linear model; the current environment temperature and the current measurement angle of the inductosyn are obtained, and initial iteration parameters of the initial linear model are determined according to the current environment temperature and the current measurement angle; performing iteration updating on the initial linear coefficient according to the initial iteration parameter to obtain a target linear coefficient, and performing data format conversion in each iteration updating process to perform next iteration according to a conversion result; and updating the initial linear model based on the target linear coefficient to obtain an updated target linear model, and determining a measurement angle compensation value of the inductosyn according to the target linear model. According to the invention, high-precision and self-adaptive real-time temperature compensation of the inductosyn in a thermal vacuum environment can be realized, and meanwhile, aircraft hardware design and reliability requirements are met.

The present invention provides a multi-level feature analysis method and related equipment for three-dimensional geological structural planes. According to the known point coordinates on the constructed geological body structural plane, the geological body structural plane is modeled to construct a geological trend surface, and the residual trend surface is extracted from the geological body structural plane; the radial basis function in the initial implicit function of the geological trend surface is determined and the linear coefficient term is solved to obtain the implicit function of the geological trend surface including the smoothing term constraint; the weight of the smoothing term constraint in the implicit function of the geological trend surface is adjusted to obtain the multi-level trend surface feature function of the geological structural plane and substitute the position coordinates of all points on the geological body structural plane to obtain the characteristic implicit function value corresponding to each point, and the multi-level feature analysis result of the geological body structural plane is obtained based on the characteristic implicit function values corresponding to all points, solving the problem of accurate fitting of the three-dimensional geological structural plane in the case of fewer known points.

A method of operating a microlithographic projection exposure apparatus (10) includes: providing a wave front deviation (50) of the projection lens and determining a control command (42) including travels for the manipulator system for correcting the wave front deviation using a model (60). The model describes the wave front deviation as a function of the travel variables and has a group of offset coefficients (62), which are independent of the travel variables, a group of linear coefficients (64), which are each attributed to one of the travel variables to the power of one, and a group of quadratic coefficients (66), which are each attributed to a product of two of the travel variables or to a square of one of the travel variables. The offset coefficients (62) are calibrated more frequently than are the linear coefficients (64).