63 results about "Mathematical relationship" patented technology

The embodiment of the invention discloses a transformer fault diagnosis method based on novel insulating oil, and relates to the technical field of power equipment state monitoring and fault diagnosis, and the method comprises the steps: obtaining the concentration of characteristic gas in the insulating oil; based on different characteristic gas concentrations and a preset mathematical relationship, respectively calculating first, second and third synthesis indexes representing discharge energy, thermal fault temperature and solid insulation degradation degree; normalizing the three indexes to obtain a coordinate component, mapping the coordinate component into a triangular coordinate diagnosis map, and determining a fault type according to a fault area where a diagnosis point falls; by constructing three independent indexes with clear physical significance and combining triangular atlas mapping, diagnosis fuzzy regions are remarkably reduced, the diagnosis accuracy is improved, and the degradation degree of solid insulation can be effectively identified.

The invention discloses an equivalent calculation method for quantitative evaluation of the residual life of an existing pavement and a storage medium, and the method comprises the steps: firstly, determining a bearing threshold value of a lossless pavement structure based on a dual-modulus elastic layered system theory; secondly, a reduction coefficient of typical diseases to the structural strength is quantified through finite element simulation; thirdly, establishing a mathematical relationship model of the maximum effective stress and the fatigue life; then, actual disease information is accurately obtained by combining nondestructive testing technologies such as ground penetrating radar and three-dimensional laser scanning; then, correcting the maximum allowable equivalent stress in a lossless state according to the disease data; and finally, fusing the theoretical model and the traffic load history, and calculating the remaining service life. According to the method, three-dimensional and quantitative analysis on the influence of the diseases is realized through a mechanical response equivalence principle, the accuracy, objectivity and engineering application efficiency of residual life evaluation are remarkably improved, and a reliable basis is provided for scientifically making a road maintenance decision.

The embodiment of the invention provides a fault current control method and device of a magnetic flux controllable reactor, equipment and a medium, and relates to the technical field of electric power. The method comprises the steps that primary side current and secondary side current of the magnetic flux controllable reactor are detected in real time, when it is determined that system current is unstable according to the primary side current and the secondary side current, target parameters are determined according to the primary side current, the secondary side current and an implicit function of the primary side current and the secondary side current of the magnetic flux controllable reactor, and the target parameters are variable parameters in the implicit function; and the implicit function represents a mathematical relationship between the primary side current and the secondary side current of the magnetic flux controllable reactor. And determining target delay time corresponding to the target parameter according to a mapping relation between the target parameter and the delay time. And finally, configuring the target delay time as the delay time of the magnetic flux controllable reactor. By means of the method, the problem that the fault current stability control effect is not ideal due to the fact that a lag angle exists between the primary side current and the secondary side current of the magnetic flux controllable reactor is solved.

The invention relates to the technical field of down-the-hole drill ball tooth drill bit wear measurement, in particular to a down-the-hole drill ball tooth drill bit wear value real-time measurement method and system, and the method comprises the steps: carrying out the optimization and registration of an initial three-dimensional model, and obtaining an overall wear quantized value of a down-the-hole drill ball tooth drill bit; analyzing a mapping relation between the while-drilling parameters and the overall wear quantized value, and constructing a database between the while-drilling parameters and the drill bit wear value; deriving a dimensionless variable according to a dimensional analysis method and a database, and performing combined screening on the dimensionless variable, a second-order polynomial and a cross term to determine a dimensionless variable combination influenced by drill bit wear; and substituting the dimensionless variable combination into the multiple linear regression model to establish a mathematical relationship model between the drill bit wear and the while-drilling parameters, thereby realizing the real-time measurement of the wear value of the ball tooth drill bit of the down-the-hole drill. According to the method, non-dimensional variables of the while-drilling parameters are obtained based on dimensional analysis, the model is built in combination with multiple linear regression, the wear value of the ball tooth drill bit of the down-the-hole drill is measured in real time, and construction efficiency and safety are improved.

The invention discloses an actuator capability and control rate explicitly coupled satellite attitude adjustment method, and belongs to the technical field of satellite attitude adjustment and control. The method comprises the following steps: firstly, establishing a satellite attitude kinematics and dynamics system, modeling an actuator dynamics system by adopting a hyperbolic tangent function, and widening an attitude control system with limited actuator capability into a three-order attitude control system; then designing an attitude anti-saturation regulation controller, taking the maximum control capability of an actuator as a parameter selection reference, and ensuring the asymptotic stability of the system through the Lyapunov theory; and finally, solving an inequality differential equation of the energy function, and establishing an explicit mathematical relationship between the actuator capability and the control rate. According to the method, the relevance between the actuator capacity and the control rate is revealed through an accurate mathematical equation, a theoretical basis is provided for satellite actuator type selection, and meanwhile, the attitude adjustment stability under the condition that the actuator capacity is limited is ensured.

The invention relates to the technical field of machining, and discloses a chamfering tool metal dead zone shape prediction method based on a slip line theory. The method comprises the steps that firstly, a chamfering cutting edge right-angle cutting slip line field model is constructed, a right-angle cutting coordinate system is established with an S1 point as an original point, then an S1 point Moire circle model is established based on the plastic deformation theory, and the size of an included angle omega 1 formed by a metal dead zone boundary S1S3 and a chamfering S1S2 is solved in combination with the Coulomb friction theorem; and then determining a slope relational expression of the line segment S2S3 and the line segment DN through a geometrical relationship, establishing an equation to solve the height of a shunt point, and finally solving the length 1 of the lower boundary of the metal dead zone, thereby realizing prediction of the shape of the metal dead zone. According to the method, the mathematical relationship between the parameters of the cutting edge of the chamfering tool and the shape of the metal dead zone is established particularly for the shape of the dead zone of the cutting edge of the chamfering tool, so that the boundary of the dead zone can be represented according to the parameters of the cutting edge of the chamfering tool, and the prediction effect of the shape of the metal dead zone of the chamfering tool is achieved.

The present invention relates to a biological control method and system, a computer program product and a computer-readable storage medium relating to a given area, preferably a given agricultural area, wherein the aim of the invention is to determine the number of biocontrol agents to be introduced into the given area, the frequency with which the biocontrol agents are to be introduced into the given area, and the period during which the biocontrol agents are to be introduced into the given area, by means of a model equation, the model equation applying a mathematical relationship to at least one item of biological modelling data and to at least one item of ecological modelling data, the implementation thereof comprising the use of at least one item of user data.

The invention discloses a blasting lumpiness overall distribution curve prediction method considering blasting in-situ blocks. The method comprises the following steps: obtaining structural surface distribution characteristics of a rock mass in a to-be-blasted area; constructing a three-dimensional numerical model of the rock mass based on the distribution characteristics of the structural surface; blasting design parameters are introduced into the three-dimensional numerical model, and the segmentation characteristics of the rock mass under the combined action of the structural plane and blast hole arrangement are analyzed; according to the segmentation features, blasting in-situ block information is extracted, and the size is counted; defining the maximum size of the blasting in-situ block as the size upper limit of an R-R distribution function; establishing a mathematical relationship between the average size of the blasting in-situ blocks and the characteristic curve parameters in the R-R distribution function; based on the size upper limit and the mathematical relationship, constructing a prediction model of the overall distribution curve of the rock lumpiness after blasting; and predicting the blasting fragmentation overall distribution curve according to the prediction model to obtain a prediction result. According to the method, the accuracy and practicability of blasting lumpiness overall distribution prediction are improved.

This invention relates to the field of semiconductor manufacturing process monitoring technology, and discloses an online pH monitoring system for polishing slurry based on ultrasonic stirring. The system includes: an ultrasonic stirring module for uniformly stirring the polishing slurry and acquiring acoustic signals, extracting acoustic feature vectors through Fourier transform and wavelet analysis; a multi-sensor data acquisition module for acquiring pH, temperature, turbidity, and redox potential data; an anomaly detection module for constructing an LSTMAutoencoder model, calculating reconstruction errors, and triggering early warnings; a causal analysis module for constructing a causal network of pH changes; a rule generation module for extracting mathematical relationships using symbolic regression and converting them into predictive rules; and an intervention control module for calculating the effectiveness of intervention measures, generating and executing optimal control operations. Through structural causal models and counterfactual reasoning, this invention can accurately identify key factors leading to pH anomalies and their contribution, shortening troubleshooting time.

The application discloses a multi-layer adhesive precise structure and function device processing release film removing device and method, and the removing device comprises a sampling module, a testing module, an analyzing module, a control module and a processing unit. The device samples are randomly sampled, the obtained device samples are subjected to warming test and release performance test, the peeling force parameter values of the device samples and the warming temperature values corresponding to the peeling force parameter values are obtained, the obtained data is fitted, a mathematical relation model corresponding to the peeling force parameter values and the warming temperature values is constructed, the warming temperature and the peeling force size setting in the processing of removing the release film on the surface of the function device in the running process of the processing unit are controlled, and the function device is processed, so that the release film on the surface of the function device is efficiently removed.

The invention relates to the technical field of inertia friction welding, in particular to a method and system for determining the length of an inertia friction welding extending clamp connector. Then, according to the welding seam shortening value and the post-welding single-side flash width value, the minimum length extending out of the clamp connector is determined; and finally, according to the minimum extending length of the clamp joint, the extending length of the inertia friction welding clamp joint is determined. According to the method, by determining the mathematical relationship between the welding seam shortening amount and the width of the half single-side flash after welding, the thermoplastic deformation and the flash form in the welding process are quantitatively coupled, it is ensured that the extension length of a clamp connector is always larger than the axial projection range of the flash, the physical interference risk of the flash and a clamp system is fundamentally eliminated, and the welding quality is improved. The limitation of traditional empirical parameter adjustment is broken through, and the problems that the machining efficiency is low and the quality is poor due to the fact that the minimum extending clamp connector length cannot be effectively determined in the prior art are solved.

The invention relates to a method and device for evaluating the deformation capacity of a current collector in an electrode, equipment, a medium and a program product, and the method comprises the steps: simulating the deformation process of the current collector due to the expansion of the electrode through a finite element simulation model of the current collector, and obtaining the deformation of different positions in the finite element simulation model; according to the stress-strain constitutive equation of the material used by the current collector and the deformation amount of different positions in the finite element simulation model, the maximum stress generated by the finite element simulation model is obtained, and the stress-strain constitutive equation represents the mathematical relationship between the stress and the strain of the material used by the current collector in the deformation process; and determining the deformability of the current collector according to the maximum stress generated by the finite element simulation model and the pre-tested fracture stress when the material used by the current collector is fractured, and representing the maximum deformation borne by the current collector in the working process of the electrode by the deformability. Therefore, the maximum deformation borne by the current collector in the working process of the electrode can be quickly evaluated at low cost.

The present application relates to an assembly mechanics modeling method for a flexible gripping shaft assembly process, wherein the method comprises: constructing a force-position mapping model of suction cup deformation based on the mathematical relationship between the real-time deformation of the flexible suction cup and the force and torque received by the end of the flexible suction cup; constructing a force-position mapping model of shaft-hole contact based on the mathematical relationship between the shaft-hole posture error and the corresponding shaft-hole contact force and torque; constructing a numerical simulator for the flexible gripping shaft-hole assembly process based on the force-position mapping model of suction cup deformation and the force-position mapping model of shaft-hole contact; designing a compliant control strategy for the flexible gripping shaft-hole assembly process based on the force-position mapping model of suction cup deformation and the force-position mapping model of shaft-hole contact, and verifying the compliant control strategy using a numerical simulator. The embodiment of the present application constructs a force-position mapping model of suction cup deformation and a force-position mapping model of shaft-hole contact, which can well guide the design of the compliant control strategy of the flexible gripping shaft-hole assembly system, and constructs an assembly simulator that is easy to deploy, which can analyze the relationship between the system's posture error and force response in real time, and verify the control effect using the constructed simulator, thereby achieving a more compliant control effect.

The application discloses a method for quickly identifying a groundwater enrichment potential area in a hilly area, and aims at quickly identifying the groundwater enrichment potential area in the hilly area. First, by defining and quantifying key factors such as water-bearing rock group, terrain slope, vegetation coverage and annual rainfall, a mathematical relationship model of groundwater runoff modulus and the factors is established. Then, according to an optimal catchment area threshold, a catchment area is demarcated, and based on water demand, catchment area and groundwater runoff modulus, an identification principle is set to determine the enrichment potential area. Finally, through multi-stage screening and sorting, the catchment area meeting the water demand requirement is optimized, so as to scientifically guide groundwater resource exploration and development and utilization in the hilly area, and realize optimization and sustainable development of water resource management. The method not only improves the efficiency of identifying the groundwater enrichment potential area, but also improves the accuracy of detecting the groundwater, and provides important scientific basis and operation guide for decision makers.

A real-time simulation and optimization method for the energy efficiency of a central air conditioning equipment room system includes: S1: Real-time acquisition of operating data for various conditions of the central air conditioning equipment room system, selecting historical non-abnormal data as background data for fitting mathematical relationship models between variables; S2: Establishing energy consumption models and correlation models for each operating condition, including at least chiller units, air conditioning water pumps, cooling water pumps, and cooling towers, and fitting the models using the background data to obtain fitting coefficients for each model; S3: Establishing the energy consumption correlation relationship between the coupled models to construct an energy efficiency simulation system; Based on the energy efficiency simulation system, calculating the system simulation results under the current environmental conditions and control strategy; S4: Using an optimization algorithm to repeatedly change the control strategy and obtain simulation results for evaluation, finally outputting the optimal control strategy. This invention achieves low-error prediction of equipment room energy efficiency through a simulation system with high equipment correlation, and optimizes the control strategy by combining an optimization algorithm, ultimately achieving real-time and efficient operation of the equipment room throughout the year.

The invention provides a wellbore scale upgrading method and system based on acid gas reservoir meter-level well section numerical simulation, and the method comprises the steps: building an apparent phase slippage speed calculation model and a wellbore wall surface friction calculation model through recognizing a multiphase fluid flow state mode; and finally, determining the mathematical relationship among the fluid flow state, the interphase slippage speed, the shaft wall friction, the temperature, the pressure and the liquid holdup, and embedding the meter-scale operation model into the macroscopic shaft model to realize the multi-scale accurate fluid flow simulation of the acid gas reservoir shaft. According to the scheme, the problems that in the prior art, factors are not considered comprehensively, and calculation accuracy is insufficient are solved, a full-wellbore numerical simulation control system considering fluid characteristics of the acid gas reservoir is established, meter-scale gas-liquid flow and distribution rules of the sulfur-containing gas reservoir can be accurately described, and calculation accuracy is improved. And shaft macroscopic parameter indexes suitable for gas reservoir development are reliably calculated, and theoretical support is provided for economic and efficient development of acid gas reservoirs.

The invention discloses a digital control method for turning over and hoisting a super-long and super-heavy component, which is characterized in that a computer control system is used for cooperatively controlling the vertical movement of a lifting hook of hoisting machinery and the horizontal pushing of a horizontal moving device, so that the turning over process of the component from the horizontal state to the vertical state is realized. According to the core scheme, double-device cooperative control is carried out, and a mathematical relationship between lifting hook displacement and horizontal device displacement and a speed matching relationship are established according to the length of a component; monitoring and correcting the hoisting process in real time, setting a monitoring point on the component, inversely calculating the inclination angle of the lifting hook by comparing the theoretical coordinate with the actual coordinate, and suspending pushing and finely adjusting the lifting hook when the inclination angle exceeds 3 degrees. Automatic control of the turning process can be achieved, and manual adjustment is not needed in the turning process; the whole turning process is monitored by measuring the displacement of a single point on the component; limited space operation is realized by reducing the use number of machines and the actuation amplitude, and the safety in the operation process is improved; the turnover process is accurate and controllable, and the operation safety is high.

The invention discloses a zoom camera self-calibration method and device based on gravity constraint, and relates to the field of computer vision. The method comprises the following steps: acquiring two images with different focal lengths and corresponding gravity vectors; aligning a camera coordinate system by using a gravity direction; matching at least three pairs of feature points, and correspondingly parameterizing the two-dimensional homography matrix; establishing a mathematical relationship among the two-dimensional homography matrix, the two unknown focal lengths and the Euclidean homography matrix; constructing a polynomial equation set by using constraints derived from the hypothesis that the ground plane is orthogonal to the gravity direction; and finally solving the polynomial equation set to obtain two focal length values. According to the method, the variable focal length of the camera can be solved only by corresponding at least three pairs of feature points, the calculation efficiency is high, the method is suitable for applications with high real-time requirements, meanwhile, physical constraints (the gravity direction) and scene priori (the ground plane is orthogonal to the gravity direction) are introduced, and the robustness of the algorithm and the precision of the solution are guaranteed.

The present application relates to a kind of based on LASSO regression determination new energy consumption model method and system, the method includes: constructing new energy consumption model;LASSO regression is calculated using to the new energy consumption model, and it is judged whether there is mathematical relationship between each factor: if yes, then the multi-dimensional model is represented by factor function relationship formula;If no, then the multi-dimensional model is represented by Peaks function.The multi-dimensional new energy response surface model based on LASSO regression of the present application can be graphically depicted that new energy utilization rate changes with factor, and it is of great significance to study the influence of multiple uncertain factors on new energy utilization rate.

The application relates to the medical field and can be applied to doctor-patient intelligent question answering, and discloses a text similarity discrimination method, wherein the method comprises the following steps: constructing a cost matrix according to token embedding of two to-be-discriminated sentences; constructing a first mathematical relationship corresponding to a total cost, a cost matrix, an optimal transmission matrix and an optimal transmission distance in a transmission process of the two to-be-discriminated sentences; defining state vectors of the two to-be-discriminated sentences as all-1 vectors normalized by lengths of the own sentences respectively; the all-1 vectors comprise a first constraint condition and a second constraint condition; removing any one of the first constraint condition and the second constraint condition in the all-1 vectors to obtain a relaxed equation; combining the relaxed equation with the first mathematical relationship to derive a relaxed optimal transmission distance, and utilizing the relaxed optimal transmission distance to discriminate the similarity of the two to-be-discriminated sentences, so that the text similarity can be discriminated simply and accurately.

The application discloses a relative photometry improvement method for an oversaturated detection image, belongs to the technical field of astronomical image photometry, and aims at solving the problem that the nonlinear truncation of the observed light flux is caused by the oversaturation of the gray value of a star in an existing astronomical image, and the systematic deviation exists in a classical relative photometry model in a star apparent magnitude estimation method. The method comprises the following steps: based on a point spread function model of saturation truncation, a mathematical relationship between the total light flux of a star and the observed light flux of the star in an astronomical oversaturated detection image is established; according to the mathematical relationship, a relative photometry improvement model is established; based on the observed light fluxes of a plurality of known stars and corresponding reference apparent magnitudes, an iterative optimization algorithm is adopted to iteratively optimize the relative photometry improvement model, and the optimal model parameter in the model is solved; and based on the optimal model parameter and the observed light flux of a target to be measured, the apparent magnitude estimation value of the target in the astronomical oversaturated detection image is obtained through the relative photometry improvement model.

The invention discloses a passive density correction method applied to coal seam measurement, and belongs to the technical field of petroleum and natural gas development. The method comprises the following steps: firstly, obtaining the influence of coal seams with different densities on a passive density measurement result through a numerical simulation method; then, calculating the apparent density of the coal seam by utilizing an existing density data processing method, and calculating a passive density error caused by the coal seams with different densities according to the difference between the apparent density and the real density; secondly, establishing a mathematical relationship between the passive apparent density and a passive density error, and forming a passive density coal seam argillaceous correction formula; and finally, substituting the apparent density of the coal seam into a coal seam density correction formula to obtain a density correction value, and superposing the density correction value to a passive density result to obtain relatively accurate coal seam density. According to the method, the measurement precision of passive density logging in the coal seam is improved, and the application scene of the method in the coal seam is expanded.

The present disclosure relates to a method for measuring a sample based on an ellipsometer and an ellipsometric measuring device. The method for measuring a sample based on an ellipsometer comprises: collecting a first measurement Mueller spectrum corresponding to a reference light spot position, and obtaining a first Mueller matrix; moving a cylindrical body along a direction perpendicular to an incident plane by a first preset distance to form a measurement light spot, collecting a second measurement Mueller spectrum corresponding to the measurement light spot position, and obtaining a second Mueller matrix; determining a mathematical relationship between the second Mueller matrix and the first Mueller matrix; representing the second Mueller matrix as a first function of an incident light wavelength, a film thickness, and an included angle based on a Fresnel equation and the mathematical relationship; fitting the second measurement Mueller spectrum based on the first function using a nonlinear regression algorithm to obtain a measured value of the film thickness and the included angle; and calculating a radius of the cylindrical body based on the first preset distance and the measured value of the included angle. The method realizes rapid and non-destructive measurement of the radius of the cylindrical sample.

The present invention relates to a method, a biological control system, a computer program product, and a computer-readable recording medium for a specific area, preferably a specific agricultural area. The object of the invention is to determine the number of biocontrol agents to be introduced into the specific area, the frequency of introduction of the biocontrol agents into the specific area, and the period of introduction of the biocontrol agents into the specific area by means of a model equation, said model equation applying a mathematical relationship to at least one biological modeling parameter and at least one ecological modeling parameter, said implementation including the use of at least one user parameter. Abstract figure: 1

This invention relates to the field of down-the-hole (DH) drill bit wear measurement technology, specifically a method and system for real-time measurement of DH drill bit wear values. The method involves optimizing and registering an initial three-dimensional model to obtain the overall quantitative wear value of the DH drill bit; analyzing the mapping relationship between drilling parameters and the overall quantitative wear value, and constructing a database of drilling parameters and drill bit wear values; deriving dimensionless variables based on dimensional analysis methods and the database, and combining and filtering these variables with second-order polynomials and cross terms to determine the combination of dimensionless variables affecting drill bit wear; and substituting this combination of dimensionless variables into a multiple linear regression model to establish a mathematical relationship model between drill bit wear and drilling parameters, thereby achieving real-time measurement of the DH drill bit wear value. This invention, based on dimensional analysis to obtain dimensionless variables of drilling parameters and combined with multiple linear regression to construct a model for real-time measurement of DH drill bit wear values, improves construction efficiency and safety.

The invention provides a model and a method for predicting the water-gas ratio and the water yield of formation water of a fracture-vug type water-producing gas well. The model establishment method comprises the following steps: screening out abnormal fluctuation data from gas field production dynamic data to obtain daily output data; calculating the accumulated gas production and formation water-gas ratio of the water-producing gas well according to the daily output data; establishing a formation water-gas ratio calculation model of the water-producing gas well, wherein the model is a mathematical relationship between the formation water-gas ratio and cumulative gas production and contains a plurality of undetermined indexes; the accumulated gas production of the water-producing gas well and the water-gas ratio of the formation water are used for fitting to determine the value of each index, and then a prediction model of the water-gas ratio of the formation water is obtained. The water yield prediction model is established based on the formation water-gas ratio model. According to the prediction method, the future daily water yield can be predicted according to the water yield prediction model. According to the method, the labor cost of a large number of professionals is effectively reduced, the timeliness and convenience are improved, and the method has good applicability and popularization prospects in field practical application.

The invention relates to a method for realizing IQ imbalance mirror image leakage calibration. The method comprises the following steps: establishing a mathematical relationship model among mirror image leakage power, a system IQ imbalance parameter and an external compensation amount; carrying out multi-point measurement data acquisition; constructing a nonlinear residual equation set; iteratively solving optimal parameters by adopting a nonlinear least square algorithm; and calculating an optimal amplitude compensation factor and an optimal phase compensation amount. According to the method, the system and the device for realizing IQ imbalance image leakage calibration, the processor and the computer readable storage medium thereof, an accurate image leakage mathematical model is established, only a small amount of image power data under different compensation conditions needs to be acquired, and the image leakage calibration can be realized through an efficient numerical solution algorithm. The inherent amplitude and phase unbalance of the system can be accurately calculated at one time, and the optimal compensation value can be directly determined.

The invention relates to a strain temperature compensation method for monitoring the tension of a scraper chain, which comprises the following specific steps of: installing a temperature sensor and a strain sensor at a to-be-monitored part of the scraper chain, and transmitting output signals of the temperature sensor and the strain sensor to a data processing module of a control system in real time through a data acquisition module; through experiments, changes of strain signals under various temperature conditions are recorded, and a resistance change rate-temperature data set is formed; a mathematical relationship model between temperature and strain is established by adopting a regression analysis or machine learning method, after real-time temperature and strain signals are obtained, a control system calculates an actual chain tension value according to a compensation algorithm, and compensated tension data are fed back to a monitoring system of the scraper machine, so that working parameters are adjusted in real time, and the working efficiency is improved. And stable operation of the scraper conveyor is ensured. The method is high in adaptability, the model can work stably no matter in a high-temperature working environment or a low-temperature working environment, an accurate compensation effect is provided, and the reliability of strain measurement is ensured.

The invention provides a method for determining the size of a tubular grain for testing the burning rate through the impulse method, and the method comprises the following steps: establishing a relationship between the pressurization rate and the burning characteristic of a propellant and a mathematical relationship between the pressurization rate and a tubular charging size parameter, and revealing the influence of the inner hole burning tubular charging size on the pressure intensity change. Different requirements of impulse method combustion rate tests of propellants with different combustion characteristics on the sizes of the explosive types are determined. And in combination with constraints such as pressurization rate limitation, pressure intensity test range and erosion-resistant combustion, a tubular charging design criterion considering both test precision and safety is provided.

This invention belongs to the field of meteorological forecasting technology, and specifically relates to a wind speed prediction method based on the relationship between spatial distance and altitude. Traditional regional wind speed prediction only provides wind speed and latitude / longitude features. This invention, through wind speed feature processing, adds two new wind speed components—meridian wind speed and zonal wind speed—based on the collected wind direction data and the spatial geometric relationship between wind speed and direction. While interpolating the instantaneous wind speed, the two wind speed components are also interpolated. The wind speed is then calculated again using the mathematical relationship between the interpolated wind speed components. Since the accuracy of these two wind speeds varies under different conditions, assigning different weights to them according to different situations can significantly improve the overall accuracy.