136results about How to "Guaranteed calculation accuracy" patented technology

The invention relates to the technical field of engineering simulation, and provides a self-adaptive grid generation method and device based on strain energy density error estimation, in the method, error estimation is carried out by utilizing first strain energy density of a model to be analyzed, a first estimation error of the model to be analyzed can be evaluated more accurately, and then grid division is optimized. The to-be-refined region is refined layer by layer, so that the problem of sudden change of the grid can be avoided, the stability and reliability of a simulation result are improved, the region with higher precision requirement in the initial grid can be refined, the unimportant region is kept unchanged, the calculation amount is greatly reduced, and the calculation efficiency is improved while the calculation precision is ensured. The method improves the calculation efficiency, improves the simulation efficiency, reduces the consumption of calculation resources, and achieves the efficient generation and optimization of a target grid.

The invention discloses a three-dimensional finite element simulation method for a complex slope excavation unloading process, which comprises the following steps of: 1) constructing a three-dimensional model of a complex slope, and establishing a finite element grid; 2) inputting boundary conditions of the model and material parameter information of each stratum; 3) calculating and simulating an initial stress field of the slope before excavation; (4) according to the initial stress field, the unloading load of the slope excavation part is calculated; (5) finite element calculation is conducted on stress deformation of the excavated slope; according to the method, the high-precision three-dimensional finite element model is established, various material parameters and actual boundary conditions are combined, the stress change and the unloading effect of the slope in the excavation process are simulated, the stress redistribution in the unloading process is accurately reproduced, the prediction precision of local instability and stress concentration areas is improved, and the prediction accuracy of the slope is improved. Therefore, a scientific basis is provided for safety assessment of slope excavation.

The invention provides a machine learning potential function design method for UO2 and a fission product thereof, and the method comprises the steps: S1, constructing a UO2-Xe / I unit cell with the fission product, and carrying out the optimization of the UO2-Xe / I unit cell; s2, the optimized UO2-Xe / I unit cell structure is disturbed and simulated, and a training data set is generated; s3, establishing a machine learning potential function; s4, performing molecular dynamics simulation on the machine learning potential function; s5, performing density functional theory calculation on the candidate configuration to obtain accurate structure-energy-force data, and repeating the steps S3 to S5 to perform iterative calculation; s6, verifying the trained machine learning potential function to obtain an accurate machine learning potential function; and S7, performing molecular dynamics simulation by using an accurate machine learning potential function. The precise DP model is obtained through machine learning, and a theoretical basis is provided for research of a diffusion mechanism of fission products in UO2 and molecular dynamics simulation of other mechanical properties.

The invention discloses a mechanical structure reliability analysis method and system based on an active learning agent model, and belongs to the technical field of mechanical structure reliability analysis, and the method comprises the steps: analyzing the working condition and load condition of a mechanical structure to be subjected to reliability analysis, and determining a performance function of the mechanical structure in combination with the safety working requirements of the structure; based on the principle of equal probability conversion, the input variables are converted into a standard normal space, and Monte Carlo reliability analysis samples are generated; in a standard normal space, using a center cross method to generate a 4n initial fitting sample, calculating a function value of the sample, obtaining an initial response matrix, and fitting an initial proxy model; and establishing a distance constraint learning function based on the existing agent model and the fitting sample, and iteratively updating the agent model, the fitting sample, the response value matrix and the failure probability in combination with a prior reliable circular ring sample reduction method until a reliability analysis result with enough precision is obtained, and ending the reliability analysis system.

The invention discloses a brick-concrete structure explosion damage reconstruction and visualization method based on deep learning, and the method comprises the steps: obtaining a damage data set of a brick-concrete structure under multi-scene explosion through numerical simulation, and building a training database through data processing and conversion, and building a two-stage brick-concrete structure damage prediction model based on a graph neural network. Error evaluation and parameter optimization are carried out on the model, the prediction capacity of the damage prediction model is improved, and according to node displacement and node stress predicted by the two-stage brick-concrete structure damage prediction model, visualization of the damage effect of the brick-concrete structure under various explosion impacts is achieved. According to the method, the damage results of the shock waves under different equivalents and different explosion positions can be quickly obtained, the explosion damage effect is visualized, and the calculation efficiency is greatly improved while the calculation precision is ensured.

The invention discloses a deep tunnel surrounding rock mechanical parameter inversion method based on a three-dimensional brittle failure zone contour and sparrow optimization algorithm-information vector machine (SSA-IVM) combined optimization algorithm. The engineering technical problem that due to the fact that excavation instantaneous displacement is difficult to monitor, deep tunnel surrounding rock mechanical parameters are difficult to reasonably obtain through displacement back analysis is solved. The method comprises the following steps: firstly, constructing a tunnel FLAC3D numerical simulation model with the same ground stress condition at the occurrence position of a three-dimensional brittle failure zone; secondly, taking an absolute error between the total number of computational grid units in the actually measured brittle failure zone and the total number of computational grid units entering a plastic state in the range of the actually measured brittle failure zone after calculation of the FLAC3D numerical model as an optimization objective function; and then, by taking the tunnel surrounding rock mechanical parameters as optimization variables and taking a target function reaching a global minimum value as a target, performing global optimization by combining a tunnel FLAC3D numerical model and adopting an SSA-IVM joint optimization algorithm, thereby obtaining reasonable tunnel surrounding rock mechanical parameters.

The invention relates to the technical field of computational fluid mechanics, in particular to a method for calculating the blocking effect of an underwater vehicle towing tank, and the method comprises the steps: building an underwater vehicle physical model; defining each boundary condition of the CFD numerical calculation domain, and solving the total resistance and each resistance component of the underwater vehicle based on the calculation domain grid and the configured numerical calculation condition; and post-processing the total resistance and each resistance component to obtain a calculation numerical result of the underwater vehicle under different blocking ratio working conditions. According to the method, by verifying the independence of the grids, the appropriate number of the grids is determined, and the calculation precision and efficiency are guaranteed.

The invention relates to the fields of wind engineering, weather forecast, environmental protection and aviation, and provides a complex terrain wind field refined simulation method based on a high-resolution grid. The objective of the invention is to solve the problem of simulation errors caused by different topographic data formats and coordinate systems in complex topographic wind field simulation and to improve simulation precision and efficiency. According to the main scheme, the method comprises the following steps: generating a three-dimensional computational grid of wind mine software according to satellite image elevation data, and obtaining a three-dimensional unstructured grid for wind field CFD simulation; selecting a proper entrance boundary condition type for four side boundary surfaces and a top surface of the target area; and wind mine software is driven to carry out numerical calculation to obtain wind field information data of the refined simulation of the complex terrain. The method is used for wind field characteristic evaluation under complex terrains, and is beneficial to efficient utilization of wind energy, weather forecast, environmental protection and aviation safety.

The invention relates to a generalized carrier rocket trajectory calculation method which comprises the steps that a target orbit and constraint conditions corresponding to the target orbit are set, the target orbit comprises a sun-synchronous orbit or a low-dip-angle orbit, and the constraint conditions at least comprise the geocentric vector diameter, the absolute speed and the flight path angle; input parameters are simplified, wherein the input parameters comprise configuration parameters, mass parameters, pneumatic parameters and engine parameters; and based on the constraint condition of the target orbit, the corresponding control variable and the input parameter, calculating the value of the control variable through a Newton iteration method so as to obtain the trajectory of the carrier rocket. The invention provides a universal carrier rocket trajectory calculation method. The carrying capacity of a carrier rocket is ensured by optimizing a typical target orbit; according to the method, input parameters of trajectory calculation are simplified and carded, the trajectory is obtained through calculation of the Newton iteration method, the adaptability to different configuration schemes is improved on the premise that the calculation accuracy is guaranteed, rapid trajectory iteration calculation can be conducted, and generalization is achieved.

The invention provides a neural network hardware implementation method and system based on an incomplete specified function, and the method comprises the steps: carrying out the quantification of the input data and weight of a neural network, and obtaining a position index of a non-zero weight; traversing the training set, and obtaining a plurality of data sets related to the non-zero weight according to the position index of the non-zero weight based on an incomplete specified function; performing logic minimization on the basis of the plurality of data sets, generating a Boolean logic expression based on an incomplete specified function, and determining a flash memory logic array scale and internal port connection lines according to a cube of the Boolean logic expression and logic variables in the Boolean logic expression; the flash memory logic array is constructed according to the scale of the flash memory logic array and the internal port connecting line, and a peripheral circuit of the flash memory logic array is constructed, and the peripheral circuit is mainly used for processing output data of the flash memory logic array. According to the invention, power consumption and time delay in a neural network hardware implementation process are reduced.

The invention discloses a method for calculating the earthwork volume of a complex terrain based on Cill 3d software, relates to the technical field of earthwork calculation, and particularly aims to solve the problems that in the background technology, a large amount of time and energy need to be consumed for calculation, and the calculation precision is difficult to guarantee, and provides the method for calculating the earthwork volume of the complex terrain based on the Cill 3d software. According to the method, the three-dimensional digital terrain model of the trench is established based on the powerful function of Civil 3D, then earthwork accounting is carried out, and the working time is greatly shortened on the premise that the calculation accuracy is ensured. The problems existing in the background technology are solved.

The invention relates to the technical field of thermodynamic properties of alloy materials, in particular to a method for calculating vibration free energy based on a bond length-bond stiffness relationship, which comprises the following steps: selecting configurations with the same symmetry according to chemical bond information contained in a crystal structure, uniform stretching or compression deformation is applied to the key body so as to generate key lengths with different lengths; supercells are created for configurations with different key lengths, micro disturbance is applied to atoms with different symmetry in the supercells, and force is calculated; obtaining a force constant matrix between two adjacent atoms according to a force calculation result, and diagonalizing the force constant matrix to obtain tensile bond rigidity and bending bond rigidity; and fitting a key length-key stiffness function according to the tensile key stiffness and the bending key stiffness corresponding to different key lengths to obtain a force constant matrix of all possible key lengths so as to calculate vibration free energy. According to the method, the calculation cost is effectively reduced under the condition that the calculation precision is guaranteed, and a solution is provided for accurately predicting the alloy phase diagram and guiding alloy design.

The invention relates to a novel noise reduction device aiming at the noise problem in a subway shield tunnel and an evaluation method of the novel noise reduction device. The device is a honeycomb-multilayer composite sound energy absorption device based on a honeycomb structure, the device is composed of a multilayer honeycomb energy absorption pad structure, the reflection frequency of noise entering the absorption pad is greatly increased, and the laying condition of shield tunnel bent duct pieces can be adapted through unitized honeycomb holes. And meanwhile, a vehicle-track-infrastructure vibration noise analysis model containing a fluid domain is established as an evaluation method, so that the noise reduction performance of the device can be evaluated and verified. According to the honeycomb-multilayer composite sound energy absorption device, the porous material with an excellent sound absorption effect is adopted, so that the honeycomb-multilayer composite sound energy absorption device has independent noise reduction capability in structure and material, the composite noise reduction capability is more excellent, the established evaluation method can be suitable for device performance modulation of various scenes, and the evaluation method is suitable for popularization and application. And the method has relatively high universality.

The invention relates to the technical field of loss reduction optimization of a power distribution network, in particular to a power grid loss reduction method and a power grid loss reduction system considering Lorenna series power flow approximation under data driving, and the method comprises the following steps: converting a line loss optimization task of the power distribution network into an intelligent agent interaction environment; the intelligent agent interaction environment is used for converting a line loss optimization task of the power distribution network into a Markov decision process under a data driving framework; and by adopting the load flow approximation method based on the Loran series, a nonlinear problem in the traditional load flow calculation is converted into a linear problem, so that the calculation complexity is greatly reduced. According to the method, the load flow calculation speed can be remarkably increased on the premise that the calculation precision is guaranteed, and power grid loss reduction optimization can meet the real-time requirement. Especially in a high-permeability distributed new energy access complex power grid, the method can quickly respond to the dynamic change of the power grid state, and effective support is provided for loss reduction optimization in actual operation.

The invention discloses an antenna spherical near-field measurement method based on non-redundant uniform spherical sampling, and particularly relates to the field of antenna measurement. The method comprises the following steps: determining a minimum sampling distance; generating sampling point positions based on a spherical uniform point generation algorithm; measuring the positions of the sampling points, and measuring E theta and E phi of the radiation field of the antenna to be measured corresponding to signals received by the probe respectively; obtaining Ex, Ey and Ez components based on vector transformation; calculating E 'theta and E' phi at equal angle intervals corresponding to the Ex ', Ey' and Ez 'components at equal angle intervals based on a spherical harmonic function; and calculating far-field radiation parameters of the antenna according to equal-interval sampling. According to the technical scheme, the problems that when theta is close to 0 degree or 180 degrees, sampling measurement points in the phi direction are too many, redundant information is generated, and the measurement efficiency is affected are solved, and the measurement time is shortened.

The invention provides a real-time safe distance monitoring method and system for field operation and a storage medium, and the method comprises the following steps: calculating the distance between a field operator and a potential dangerous object or region as a first distance based on a real-time image of the field operation, and executing the subsequent steps if the first distance is smaller than a first set value; otherwise, continuing to calculate the first distance in real time; based on the real-time three-dimensional position data of the field operation, calculating the distance between the field operation personnel and the potential dangerous object or area as a second distance; performing data fusion on the first distance and the second distance to obtain a third distance; if the third distance is smaller than the second set value, alarm operation is executed; otherwise, continuing to calculate the first distance in real time. According to the invention, the technical advantages and advancement of various intelligent detection methods are fully combined, and the safety distance of field operation is effectively monitored in real time.

The invention discloses an auxiliary converter state diagnosis method, device and system and a medium, and the method comprises the steps: obtaining current data detected by a filter inductance input side sensor of a detected auxiliary converter to obtain an inductive current when the detected auxiliary converter is started and an output contactor of the detected auxiliary converter is not closed; acquiring an output voltage detected by an output voltage sensor in the detected auxiliary converter; carrying out fundamental wave extraction on the obtained inductive current by using a second-order generalized integrator to obtain an inductive current fundamental wave; carrying out fundamental wave extraction on the obtained output voltage by using a second-order generalized integrator and calculating a derivative to obtain a fundamental wave guide number of the output voltage; calculating the capacitance value of a capacitor in a filter circuit of the tested auxiliary converter according to the fundamental wave of the inductive current and the base wave guide number of the output voltage; and judging the fault state of the filter circuit capacitor according to the calculated capacitance value of the capacitor. The method has the advantages of simple operation, low cost, high diagnosis efficiency and precision and the like.

The invention discloses an approximate multiplier implementation method for a neural network and an approximate multiplier, and the key points of the technical scheme are that the method comprises the steps: inputting a first operand and a second operand, and splitting the first operand into a low-order part and a high-order part; performing first coding on the low-order part to obtain a plurality of groups of first coding numbers, and performing second coding on the high-order part to obtain a plurality of groups of second coding numbers; assembling the plurality of groups of first coding numbers and the plurality of groups of second coding numbers to form an assembly operand; according to the assembly operand and the second operand, generating a partial product matrix and a truncation error compensation value corresponding to the partial product matrix; based on the partial product matrix and the truncation error compensation value, an approximate multiplication result of the first operand and the second operand is generated, approximate high-base coding and truncation compensation are combined for use, and the performance of an approximate multiplier is greatly improved on the premise that the calculation precision and the final network reasoning precision are guaranteed.

The invention discloses a pipeline backing welding process planning method based on cooperation of a laser vision scanner and a process knowledge base, and the core content comprises the steps: firstly, building an excellent backing welding forming size model and the process knowledge base based on an excellent welding seam evaluation standard; then, a laser vision scanner is used for scanning the groove, and the characteristics of each section of groove are obtained; and finally, the welding process parameters of each section are obtained based on the process parameter calculation model. Wherein the excellent welding seam size model can calculate the welding wire melting area, the groove high side base metal melting area and the more melting welding wire area of the groove low side compared with the high side required by the groove according to the gap and the unfitness of butt joint of each section obtained through scanning. The process knowledge base can automatically match the parameters in the welding process parameter calculation model according to the material, the pipe diameter and the wall thickness of the to-be-welded pipeline. Features extracted by a visual scanner are converted into variables in a calculation model through an excellent weld joint forming size model, parameters in the model are matched in cooperation with a process knowledge base, and accurate backing welding process parameter planning under the actual working condition is achieved.

The application provides a kind of tower type solar thermal power station mirror field optical efficiency calculation method, belongs to tower type solar power field, solve mirror field optical efficiency large amount of calculation and low precision problem.Its technical scheme is: including the following steps: S1: obtaining mirror field parameters and solar position;S2: determine the atmospheric transmission efficiency and cosine efficiency of each heliostat;S3: calculate the shadow blocking efficiency of each heliostat;S4: calculate the truncation efficiency and optical efficiency of each heliostat.The beneficial effects of the application are: a kind of tower type solar thermal power station mirror field optical efficiency calculation method is designed, the method is gridded to the current heliostat, and the grid point and its adjacent heliostat vertex are projected to the mirror field horizontal plane along the incident light direction or the reflected light direction to calculate the shadow blocking efficiency, the heliostat that may be blocked is selected within a reasonable range, which greatly reduces the calculation amount of heliostat shadow blocking rate, and the operation accuracy is high, the method can ensure the calculation accuracy while improving the calculation speed of tower type solar power station mirror field optical efficiency simulation.

The invention relates to the technical field of flow counting, in particular to a digital signal processing method and system for a Coriolis flowmeter, and the method comprises the following steps: S1, a Coriolis flowmeter sensor carries out signal collection and preprocessing; s2, carrying out processing and feature extraction on the collected signals; and S3, flow calculation and correction. Through signal acquisition and preprocessing, the sensor signal quality is improved, the subsequent processing reliability is ensured, time domain analysis and frequency domain conversion technologies are adopted for signal processing and feature extraction, key feature parameters are accurately extracted, the signal accuracy is improved, phase difference calculation and density and temperature compensation are utilized for flow calculation and correction, and the accuracy of flow calculation and correction is improved. Real-time measurement of instantaneous flow and accumulated flow is achieved, accuracy and real-time performance of data are guaranteed, normal work of all parts is guaranteed through system inspection and output, abnormal conditions are monitored and alarmed in real time, data reliability and system stability are guaranteed, the whole method is scientific and rigorous, and measurement accuracy and data reliability of the Coriolis flowmeter are effectively improved.

The present invention relates to the technical field of hydroelectric units, and is an ADPSS-based turbine isolated grid control parameter verification device and a method of use, including an ADPSS simulation platform simulating and outputting a grid frequency signal, and receiving a power signal output by a hydroelectric unit speed governor simulation platform for iterative calculation; the hydroelectric unit speed governor simulation platform combines the grid frequency signal simulation to determine the guide vane opening signal, and converts the guide vane opening signal into a power signal; a transmission device builds a communication link between the ADPSS simulation platform and the hydroelectric unit speed governor simulation platform. The present invention improves the simulation speed and authenticity of the hydroelectric unit speed governor in an isolated grid mode through the heterogeneous parallelization of an FPGA module, a physical interface box, and a turbine speed governor simulation platform, and solves the problem that when the current turbine isolated grid control parameter setting uses a frequency step disturbance, only a step amount of a given step length can be used, and there is no effective interaction between the turbine and the grid.

The invention discloses a vehicle time history response calculation method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring a mass matrix, a damping matrix and a stiffness matrix of a to-be-tested vehicle; inputting the mass matrix, the damping matrix and the stiffness matrix into a pre-constructed time history response calculation model; according to the mass matrix, the damping matrix and the stiffness matrix, the time history response of the to-be-tested vehicle is calculated through a time history response calculation model; wherein the time history response comprises a displacement vector, a speed vector and an acceleration vector. According to the embodiment of the invention, the calculation efficiency can be remarkably improved while the calculation precision is ensured, and the method is suitable for time-history response analysis of the key structure of the commercial vehicle under the complex dynamic load.

The present application relates to a kind of laser radar and camera online self-calibration method and system without induction, the method includes: S1.in the process of vehicle driving, through multi-source trigger mechanism acquisition laser radar point cloud data and camera image data, simultaneously obtain vehicle motion state information and automatic driving perception system output result, the multi-source trigger mechanism includes time trigger, event trigger and cloud data mining trigger parameter degradation model;S2.the pre-processing and feature extraction of the multi-source data collected, obtain laser radar point cloud feature and camera image feature;S3.based on geometric constraint, motion consistency and perception result fusion, constructs multi-modal verification model, and carries out multi-dimensional verification to calibration parameter.The present application not only reduces the artificial maintenance cost, through automatic means maintenance vehicle state to achieve sensor calibration parameter degradation self-detection and self-calibration without induction, and improves the reliability and attendance rate of automatic driving vehicle.

The application relates to the technical field of standard gas preparation, and discloses a pressure method for preparing carbon dioxide and carbon stable isotope standard gas, and a system thereof. The method comprises the following steps: obtaining basic parameters for gas preparation, calculating core pressure control parameters of gas preparation operation based on the mass conservation of carbon dioxide and the mass conservation of carbon stable isotopes, and sequentially completing the steps of filling decarburization atmosphere through an adsorption tube, filling high-concentration raw material gas through a quantitative ring, and supplementing the final pressure with ambient atmosphere, so as to complete the preparation of standard gas. The method can accurately control the carbon dioxide concentration and the carbon stable isotope value simultaneously, is suitable for a conventional pressure method gas preparation device, has high preparation precision and strong repeatability, and meets the high-precision standard gas use requirements of atmospheric observation, equipment calibration and the like.

This invention discloses a method for calculating the back electromotive force (EMF) of a multi-element winding in a hollow cup armature brushed motor and a motor system thereof. The method includes: obtaining the parameters of a parallel magnetized permanent magnet and calculating the fundamental amplitude of the radial air gap magnetic flux density; obtaining the winding parameters and calculating the flux amplitude linked by a single-turn coil rotating in a magnetic field; calculating the back EMF amplitude per unit element based on the total number of turns and elements, and the coil rotation angular velocity; and vector-combining the back EMF generated by each element according to the electrical angle of the back EMF generated by each element to obtain the magnitude of the synthesized back EMF of the entire coil winding; integrating the waveform of the back EMF based on the magnitude of the back EMF amplitude and the number of commutations of the motor to obtain the average value of the motor's back EMF and the constant value of the motor's back EMF. This invention obtains the analytical formula for calculating the radial air gap magnetic flux density and the fundamental amplitude of the radial air gap magnetic flux density by analyzing the magnetomotive force and air gap permeability, ensuring the accuracy of the motor's back EMF calculation.

The embodiment of the invention provides an electromagnetic scattering calculation method based on a heterogeneous GPU cluster. The method is applied to the field of computational electromagnetism, and comprises the following steps: constructing a hierarchical bounding volume geometric acceleration structure of a target object and adding an edge index, and meanwhile, completely copying and distributing data of the acceleration structure to a video memory of each computational node in a heterogeneous GPU cluster; generating a random ray path starting from an emission source, modeling an electromagnetic scattering process as a ray path set in a probability space, and generating a ray direction through an importance sampling strategy; determining a static scheduling strategy for the ray batch based on the calculation cost of pre-sampling and geometric enhancement, and carrying out non-uniform distribution on task tiles according to the heterogeneous GPU calculation power; and monitoring the execution state of the heterogeneous GPU cluster in real time, and dynamically adjusting the distribution strategy of the residual ray tasks based on execution feedback. According to the method, the calculation overhead can be remarkably reduced while the calculation precision is ensured, and the efficiency and expandability of complex target electromagnetic scattering calculation are improved.

This invention relates to the field of oilfield equipment monitoring technology, specifically proposing a structure and method for monitoring corrosion inside a bimetallic composite plate pressure vessel. The structure includes an inner section and an outer section. The inner section is installed inside the pressure vessel, and its thickness is the same as that of the inner layer of the pressure vessel. The outer section covers the inner wall of the inner section. An anti-corrosion layer is applied to the outer wall of the outer section. Blind holes and through holes are adjacently formed on the outer wall of the inner section, with the end of the through hole near the outer section abutting against the inner wall of the outer section. By detecting the blind holes and through holes in the inner section, the corrosion status of the pressure vessel's inner layer can be deduced. Since grinding or welding repair of the inner section is unnecessary, it avoids affecting the subsequent normal operation of the pressure vessel. Furthermore, it overcomes the shape limitations of the pressure vessel itself, reduces errors in the detection results, and ensures the accuracy of the calculated corrosion rate of the pressure vessel's inner layer.

The invention relates to a method for simplifying a switching function of a dynamic phasor model of a high-voltage direct-current transmission system, and the method comprises the steps: building an LCC-HVDC dynamic phasor model of a target high-voltage direct-current transmission system; extracting a switching function of a time domain expression form in the LCC-HVDC dynamic phasor model; and based on a preset switching function dynamic vector simplification principle, determining a target order number of the switching function, and establishing a simplified LCC-HVDC dynamic vector model corresponding to the LCC-HVDC dynamic phasor model according to the target order number. Therefore, the problems that an existing ultra-high-voltage direct-current system dynamic vector model utilizes infinite series to express a switching function, an exact simplified analytical expression of the switching function does not exist, the physical significance of the prior art is difficult to verify, and expansion and application of a dynamic phasor time domain method are greatly hindered are solved.

The invention discloses a small molecule binding protein design method. The method comprises the following steps: S1, a structure acquisition step: acquiring a compound structure of a target small molecule ligand and protein; s2, a candidate sequence generation step: generating a candidate protein sequence set by adopting a protein generation model and adjusting parameters corresponding to the protein generation model according to the compound structure in the step S1; s3, a primary screening step; compounding the candidate protein sequence set in the step S2 with the small molecule ligand in the step S1, predicting a compound structure I, and screening a potential sequence from the compound structure I; s4, a fine screening stage: compounding the potential sequence screened in the step S3 with the small molecule ligand in the step S1, predicting a compound structure II, and screening a preferred protein sequence I from the compound structure II. Through deep fusion of AI generation and physical screening, a layer-by-layer progressive accurate screening funnel is constructed, and the false positive rate is greatly reduced.