106 results about "Superposition method" patented technology

The invention relates to the technical field of track bridge engineering, in particular to a high-speed railway track-bridge system earthquake-caused residual irregularity prediction method, which comprises the following steps of: determining a target object, and constructing an earthquake-caused irregularity database based on historical earthquake oscillation data of the target object; based on the earthquake-induced irregularity damage database, constructing an earthquake-induced peak irregularity deep learning prediction model fused with the vibration mode superposition method, and performing prediction by adopting the earthquake-induced peak irregularity deep learning prediction model to obtain an earthquake-induced peak irregularity prediction value; calculating an earthquake-caused residual irregularity equivalent coefficient based on earthquake-caused peak irregularity and earthquake-caused residual irregularity in the earthquake-caused irregularity damage database; and earthquake-caused residual irregularity is predicted based on the predicted earthquake-caused peak irregularity predicted value and the earthquake-caused residual irregularity equivalent coefficient. According to the method, the engineering safety and reliability of the result are ensured based on the mapping relation of the probability assurance rate, and the method has high efficiency and safety and is suitable for practical engineering application.

The invention discloses a multi-scale sea surface electromagnetic scattering calculation method and device based on marine environment elements and a storage medium, and belongs to the technical field of marine detection and physical remote sensing. The method comprises the following steps: calculating a tension wave sea spectrum according to an Elfouhail sea spectrum in combination with a Longuet-Higgins directional spectrum; a JONSWAP sea spectrum is combined with a Longuet-Higgins directional spectrum to calculate a gravity wave sea spectrum; superposing the tension wave on the gravity wave according to the slope by using a linear superposition method, and calculating a self-adaptive cut-off wave number; the contribution of small-scale waves to scattering is calculated by adopting an integral equation method, mirror scattering of large-scale waves is counted by adopting a Kirchhoff approximation method, and statistics and fusion are carried out on each scale wave according to the self-adaptive cut-off wave number, so that an electromagnetic scattering value is obtained. According to the method, a sea surface geometric calculation method based on real marine environment element driving is adopted, and accurate calculation is performed aiming at sea surface scattering characteristics under different sea conditions in combination with an integral equation method-Kirchhoff approximation electromagnetic scattering calculation model of an adaptive cut-off wave number, so that the calculation precision of scattering intensity is improved.

The invention relates to the technical field of unmanned aerial vehicle navigation and control, in particular to an improved sparrow searching method for three-dimensional unmanned aerial vehicle path planning. According to the method, a three-dimensional mountain terrain model is constructed through a Gaussian function superposition method, obstacles and no-fly zones are defined by adopting a cylindrical geometric model, and obstacle avoidance constraints, take-off and landing safety constraints and flight height constraints are set; a comprehensive cost function with path length, threat penalty, flight safety height and path smoothness as sub-targets is constructed, an improved sparrow search algorithm is introduced, and a sine and cosine strategy is adopted in discoverer position updating to dynamically balance horizontal exploration and vertical obstacle avoidance. A Levy flight mechanism is introduced in follower position updating so as to enhance the capability of local development and jumping out of local optimum; the method comprises the steps of population initialization, role division, iterative optimization, collision detection and an elitist retention strategy. According to the method, a safe and smooth three-dimensional flight path with the optimal comprehensive cost is output, and the method is suitable for an actual unmanned aerial vehicle navigation task.

The application discloses a curved surface structure zero state form finding method, comprising the following steps: (1) a model is established based on a design configuration, and deformation data is obtained by simulating the whole construction process; (2) a zero state configuration is deduced reversely: key node deformation values are extracted, arches are started, a simulation is re-performed after a linear model is fitted and adjusted, and iteration correction is performed until deformation error meets the requirement, and a zero state installation configuration is obtained; and (3) construction data is generated by extracting component line shapes and node coordinates. The application innovatively adopts an integral curvature adjustment strategy to replace a traditional node coordinate local adjustment mode, and through reverse deduction of 'construction simulation-control point arching-curved surface fitting-grid mapping', the problem of curved surface discontinuity caused by the traditional reverse superposition method is solved, construction precision and efficiency are significantly improved, and the application is suitable for intelligent construction of complex curved surface space grid structures.

The invention relates to the technical field of virtual-real fusion image processing, in particular to a target superposition method and system for augmented reality, and the method comprises the steps: firstly simulating to obtain a virtual route target, and superposing and fusing the virtual route target into an initial reality picture for guiding navigation; analyzing the change degree of the current reality picture, and judging whether the virtual target and the current reality picture need to be superposed, fused and updated or not; if yes, analyzing the similarity between the local areas of the current real picture and the reference picture, and preferentially matching the local areas; the relative displacement of the equipment is evaluated according to the matching result of the angular points in each local area, superposition fusion updating of the virtual target and the current real picture is carried out, a more accurate superposition fusion result of the virtual target is obtained, and the immersion and accuracy of a user during use are enhanced; and on the premise of ensuring the accuracy, the AR operation efficiency is effectively improved, the calculation delay is reduced, and the loss of equipment performance is reduced.

The invention discloses a blasting funnel volume solving method based on an improved physical information neural network. The method comprises the following steps: step 1, establishing a mechanical model of blast hole wall blasting load; 2, establishing a blasting physical model in which a columnar cartridge bag is equivalent to a spherical cartridge bag by using a Starfied superposition method; step 3, constructing a blasting funnel volume prediction model based on the wavelet multi-scale synchronous compression transformation enhanced physical information neural network, constructing a solution space of a physical field by using the wavelet multi-scale synchronous compression transformation, and training the physical information neural network in which a blasting funnel physical control equation, an initial condition and a boundary condition are loss functions; and 4, intelligently predicting the volume of the blasting funnel by adopting the trained enhanced physical information neural network. The trained physical information neural network enhances the robustness and generalization ability of the blasting funnel volume prediction model, and provides high-precision theoretical support for blasting design optimization in engineering blasting.

The invention relates to the field of audio signal processing, in particular to a multi-channel audio signal hybrid coding method and device and a storage medium, and the method comprises the steps: collecting digital audio signals through a plurality of audio input channels, carrying out the anti-aliasing filtering of the collected digital audio signals, so as to obtain audio signals in a 48kHz / 16bit format, and outputting the audio signals in the 48kHz / 16bit format. An audio signal in a 48kHz / 16bit format is processed through a loudness weighted average method, the audio signal after loudness weighted average is processed through a frequency domain mixing technology to obtain a mixed signal, and dynamic range compression is performed on the mixed signal based on calculation of an auditory masking curve to obtain a compressed signal. And carrying out hybrid coding on the compressed signal to obtain a compressed data stream, and packaging and outputting the compressed data stream. Through dynamic mixing and compression processing, the problem of signal distortion caused by a traditional linear superposition method is effectively solved, reasonable superposition of all paths of signals is ensured through dynamic mixing, and level overload caused by simple addition is avoided.

The invention belongs to the technical field of robot path planning, and provides a mobile robot path planning method and system based on an adaptive RRT * algorithm, and the method comprises the steps: initializing a multi-tree structure based on an expansion superposition method and clustering analysis; determining a dynamically adjusted sampling area by adopting a self-adaptive sampling strategy; new nodes are generated in the sampling area, collision detection is carried out on the new nodes, if the new nodes do not collide with obstacles, the new nodes are incorporated into a tree structure, and path optimization operation including father node reselection and rewiring is executed; the connection possibility among the multiple trees is checked regularly, when the starting point tree and the target tree are connected through the guide tree and a feasible path is detected, a complete initial path is extracted, and the sampling area is updated after the path is optimized; evaluating the path cost of the new node and the target point, and if the path cost meets the precision requirement or reaches the maximum number of iterations, terminating the search and outputting the current optimal path; otherwise, continuing to optimize. According to the invention, the adaptability and efficiency of a path planning algorithm in a complex environment are improved.

The invention provides a heavy truck liquid cooling overcharging topology dynamic optimization method and system, and relates to the technical field of heavy truck liquid cooling overcharging, and the method comprises the steps: generating time-space thermal load distribution through a transient thermal load equation, and recognizing a thermal aggregation region coordinate set; generating a runner diameter grading mapping table; an objective function and constraint conditions of topological optimization are defined, a topological optimization algorithm is selected, parameters are set, and an optimal topological structure of the cold plate channel is obtained; an optimal topological structure is adopted, a fatigue life map is calculated through a modal superposition method, and meanwhile a thermal runaway risk matrix is quantified; and according to the fatigue life map, the thermal runaway risk matrix and the sensitivity field, establishing a dynamic adjustment health degree model of the cold plate channel, and outputting an optimized flow channel topology and a parameter set. The method has the beneficial effects that the service life of the battery pack is effectively prolonged, the maintenance cost is reduced, and the overall performance and the economic benefit of the liquid cooling overcharging system of the heavy truck are improved.

The invention discloses an improved DMO topological optimization method obeying different material yield criteria and analysis equipment, and belongs to the technical field of engineering structure optimizing.The method comprises the steps that a topological optimization mathematical model is established with the minimum flexibility as an objective function and stress constraints and cost constraints of different yield criteria as constraint functions; the interpolation of the DMO method based on the elastic tensor is rewritten into a unit superposition method to carry out unit discretization rigidity interpolation, and a plurality of stress values of each unit of each material can be calculated by using a separable stress interpolation scheme based on the unit superposition method; finite element analysis and stress calculation are carried out on the structure, von-Mises and Ducker-Prager yield criteria are given to steel and concrete materials respectively, and an MMA algorithm is used for iteratively calculating a result to obtain an approximate optimal solution; and circularly iteratively updating the unit density and the solving steps until the new topological optimization structure reaches a preset convergence condition. According to the method, topological optimization of the steel-concrete composite structure is more accurately carried out, and the obtained topological optimization result has manufacturability.

The invention discloses an AR label dynamic superposition method and device based on an unmanned aerial vehicle real-time video stream. The method comprises the steps that S1, an unmanned aerial vehicle collects video data in real time and preprocesses the video data to obtain a preprocessed video stream; s2, obtaining a video picture-geographic coordinate mapping table based on registration of video pictures and geographic coordinates of the preprocessed video stream; s3, generating an AR label based on the video coverage area of the preprocessed video stream; s4, converting the geographic coordinates of the AR labels into pixel coordinates of the video pictures according to the video picture-geographic coordinate mapping table to realize AR label superposition; and S5, outputting the video stream which displays and overlaps the AR label in real time. According to the method, sub-meter registration of the AR tag and the video picture is realized, accurate synchronization of the AR tag and the video picture is realized, real-time following of the moving target and collaborative display of multiple types of tags are realized, and comprehensiveness and decision-making efficiency of monitoring information are remarkably improved.

The invention provides a method and system for improving polymorphic warping of a wafer, and the method comprises the steps: 1), measuring the initial warping morphology of the wafer, and obtaining deformation distribution data; (2) calculating three-dimensional deformation of wafer warping through a finite element simulation model, and on the basis of the three-dimensional deformation, optimizing parameters of a stress film on the back surface of the wafer through a linear superposition method on the basis of the actually measured deformation distribution data, so that the stress film generates deformation distribution opposite to the initial warping morphology; 3) preparing an arch-shaped stress film on the back surface of the wafer; 4) measuring deformation distribution data of the optimized wafer; according to the method, initial deformation of various types can be counteracted, warping generated in specific steps in the production process can be reduced to the maximum extent, and the product quality and reliability requirements are fully guaranteed.

The invention discloses a gear forming grinding contact area temperature field calculation method based on a single-abrasive-particle cutting heat production mechanism, and the method comprises the steps: firstly, calculating the undeformed cutting thickness according to the geometric contact relation between abrasive particles and a tooth surface, and judging that the abrasive particles are in a scraping, ploughing or cutting stage; then, the heat flux density generated by each abrasive particle is calculated in stages, the proportion of heat transmitted into the workpiece is determined according to a dynamic heat distribution mechanism, and then the heat flux density distribution of a contact area is obtained through fitting; and finally, on the basis of a moving heat source model and a point heat source superposition method, a temperature field of the gear forming grinding contact area is constructed and solved. According to the method, the limitation that a traditional model adopts fixed heat flow distribution is overcome, accurate prediction of the grinding temperature field is achieved from the physical mechanism level, and a key theoretical basis is provided for effectively controlling tooth surface heat damage and improving gear machining quality.

The application discloses a kind of arbitrary pulsating wind field active control wind tunnel physical simulation method and system, comprising: establishing generalized pulsating wind field spectrum model, it has 6 controllable pulsating wind spectrum in the energy distribution model parameter of frequency domain;Based on generalized pulsating wind field spectrum model, inter-spectrum matrix is calculated using coherence function;Based on harmonic superposition method, inter-spectrum matrix is converted into pulsating wind field space-time information;Pulsating wind field space-time information is introduced into the control program of active control wind tunnel, through real-time monitoring and iterative adjustment model parameter, until the target wind field generated reaches expectation.The application can simulate wind field with arbitrary frequency energy distribution by generalized pulsating wind field spectrum model with 6 model parameters, combined with iterative closed-loop control, significantly improve the simulation accuracy and adaptability of complex wind field such as mountain valley wind, typhoon.

The application provides a geological radar three-dimensional advanced detection data stacking method, which corresponds original sampling point data and to-be-stacked sampling point data through air correction and three-dimensional space position estimation according to the spherical distribution characteristics of a geological radar detection region in a three-dimensional space, stacks geological radar data of different observation points in a unified coordinate system, obtains stacked sampling point data through frequency domain stacking, reduces multiple wave interference of the geological radar signal, and is beneficial to target positioning in the three-dimensional space.

The invention relates to a structural column anti-seismic test loading device under complex working conditions, which comprises a polygon prism column head, a square hole matched with a square column in size is formed in the column head, the extending end of a horizontal jack is extruded on one side surface of the column head, and a fixing structure for fixing the square column and driving the square column to rotate is arranged on a bracket. During use, the column head is a polygon prism, so that the column head has side surfaces with a plurality of inclined angles, the horizontal jack applies thrust to different side surfaces of the column head to apply loads to the column at different angles, and the number of the side surfaces of the column head can be selected; therefore, horizontal loads can be applied to the rectangular-section column in multiple directions, the influence of the torsional effect is implied, loads can be applied to multiple angles, then the spatial column curved surface is obtained, if the number of loading points is designed to be large enough, the spatial curved surface can be completely simulated, and the spatial curved surface can be simulated. The column space curved surface is used for replacing a column space curved surface obtained according to a superposition method, so that the design of the column is safer.

The embodiment of the invention provides a hydrogen fuel flow simulation CFD post-processing method, device, equipment and medium, and relates to the technical field of numerical simulation, and the method is realized through the following steps: executing hydrogen fuel flow CFD simulation based on an aero-engine, and generating unstructured grid data; converting the unstructured grid data into a plurality of simulation result files, sorting grid geometric information and numerical value distribution data in the simulation result files, generating a time snapshot matrix, calculating an adjoint matrix S through the time snapshot matrix, and then obtaining a mode corresponding to each feature vector of the hydrogen fuel flow field; and through a mode corresponding to each feature vector of the hydrogen fuel flow field, calculating to obtain a magnification gi and a mode coefficient amplitude ba, and carrying out dynamic reconstruction and prediction on the hydrogen fuel flow field through a mode superposition method. According to the scheme, the flow field state at any moment can be reconstructed and predicted through a modal superposition method, and the post-processing efficiency is improved.

The invention discloses a rapid evaluation method for traffic safety of a railway bridge after an earthquake based on a genetic algorithm. The method comprises the following steps: creating a track-bridge nonlinear finite element model; simulating high-frequency acceleration seismic oscillation, simulating low-frequency velocity pulses, converting high-frequency acceleration into high-frequency velocity, and performing superposition of high-frequency and low-frequency components to generate a seismic oscillation sample; performing bridge response calculation on the track-bridge nonlinear finite element models under different earthquake magnitudes, and extracting post-earthquake track residual deformation; taking post-earthquake track residual deformation as compensation of an initial irregularity spectrum, and adding the initial irregularity spectrum into a trigonometric series superposition method to obtain a post-earthquake track irregularity spectrum; calculating to obtain a post-earthquake driving condition, and storing the earthquake magnitude and the corresponding driving state; and building a post-earthquake traffic safety rapid evaluation platform based on a genetic algorithm, and evaluating whether the railway bridge can safely run after the earthquake. The technical effect of the invention is that technical support is provided for rapidly evaluating the traffic safety of the railway bridge after the earthquake and stopping inspection.

The present application relates to the calculation method of the end bearing type square steel pipe concrete composite column base compression-bending bearing capacity, comprising the following steps: collecting the parameters required for calculating the compression-bending bearing capacity of the column base; calculating the compression-bending bearing capacity of each component of the column base; constructing the compression-bending bearing capacity of the reinforced concrete outside the pipe by simple superposition method; constructing the compression-bending bearing capacity of the steel pipe concrete column base by simple superposition method; constructing the compression-bending bearing capacity of the end bearing type square steel pipe concrete composite column base by simple superposition method. The calculation method of the present application is based on the simple superposition method, and the derivation process strictly follows the actual stress mechanism of each component of the compression-bending bearing capacity of the column base. The established bearing capacity calculation formula has clear physical meaning, simple form, clear technical route, excellent calculation stability and accuracy, and can provide reliable basis for the fine design and safety evaluation of the end bearing type steel pipe concrete composite column base.

The application provides a large bulk carrier speed power prediction method and system, first, the trial data of a large bulk carrier and a ship model and the resistance data of the ship model measured in the test are obtained, and the main dimension parameter data of the ship model is obtained, then the CFD superposition method is used for calculation to establish a stable calculation strategy, then the StarCCM+ software is used for CFD simulation of the ship model according to the stable calculation strategy, the frictional resistance and the viscous pressure resistance of the ship model are obtained, the second frictional resistance coefficient of the ship model and the frictional resistance coefficient of the ship are calculated respectively by using the frictional resistance formula, and the first shape factor of the ship model is calculated, finally, the viscous resistance coefficient of the ship is calculated according to the frictional resistance coefficient of the ship and the first shape factor, the speed power of the ship is calculated according to the viscous resistance coefficient of the ship, the second frictional resistance coefficient of the ship model and the total resistance coefficient of the ship model in the test data, the prediction speed is effectively improved, the modeling cost is reduced, and the prediction precision is greatly improved.

The invention belongs to the technical field of synthetic aperture radar (SAR) image processing, and discloses an underwater vehicle wake SAR image data generation method and system, and the method comprises the steps: respectively constructing an underwater vehicle wake model based on a computational fluid dynamics (CFD) method and a random sea surface model based on a sea wave spectrum model; performing linear superposition on the underwater vehicle wake model and the random sea surface model by adopting a VOF-spectrum coupling interpolation superposition method to obtain a composite sea surface simulation model; based on a composite sea surface simulation model, a dual-scale electromagnetic scattering model is adopted to calculate a backscattering coefficient, tilt modulation, fluid modulation and speed bunching modulation are introduced in sequence, and finally speckle noise is added to generate a wake SAR image. According to the method, the physical characteristics of the wave wake in the underwater vehicle can be simulated more accurately, and the physical authenticity and accuracy of wake generation are remarkably improved; a simulation result which is high in accuracy and has real SAR image statistical characteristics can be obtained, and the engineering application value is remarkably improved.

The invention provides a method for calculating sound and vibration characteristics of a multi-section rotary shell under light fluid, which comprises the following steps of: splitting the multi-section rotary shell into a conical section with a linear generatrix and a hyperbolic section with a nonlinear generatrix according to curvature change characteristics of a meridian line of the shell, and generating node distribution meeting differential quadrature operation in each section; a control equation of the shell is established based on the first-order shear deformation theory, boundary conditions are simulated through an artificial spring, force and displacement continuity of multiple sections of joints is processed, free vibration and forced vibration characteristics are solved through a differential quadrature algorithm, and global speed response is obtained; a fitting unit radiation superposition method is adopted to enable the surface of a shell to be equivalent to an acoustic baffle, a cylindrical surface or a spherical crown surface is adopted to fit and calculate a sound transmission vector according to the type of the shell, and far-field sound radiation characteristics under light fluid are solved in combination with global speed response. The sound and vibration characteristic analysis method provided by the invention has high efficiency, universality and good engineering practicability on the premise of ensuring the calculation precision.

The application discloses a micro-expression recognition method based on optical flow features, first selects micro-expression data sets: CASME, CASME II and CAS(ME) 2 , and respectively maps emotions of all video frame sequences in the three data sets into three categories of "Negative", "Positive" and "Surprise"; all video frame sequences of the selected data set are preprocessed to obtain video frame sequences with a resolution of 128*128; then, a TV-L1 energy functional is used to extract optical flow features of the video frame sequences, and the optical flow features are spliced by a channel superposition method to serve as inputs of a neural network RSCANet; finally, the neural network RSCANet is used to extract micro-expression features and obtain a classification result. The application solves the problem that it is difficult to extract subtle motion changes of a face in a video frame due to the characteristics of micro-expression in the prior art.

The invention discloses a heat exchanger dense heat pipe intelligent welding device which comprises a welding machine head, a welding machine body, a wire feeding mechanism and a control unit, the control unit is connected with the welding machine body, the wire feeding mechanism and the welding machine head, the two ends of the welding machine body are connected with the welding machine head and the wire feeding mechanism respectively, and the wire feeding mechanism feeds welding wires to the welding machine head. A camera on the welding machine head collects circumferential welds, the circumferential welds are fed back to the control unit, and the control unit controls the welding machine body and drives the welding machine head to rotate, so that the welding machine head conducts circumferential weld welding on a heat pipe of a heat exchanger. Processing the collected data through a projection positioning algorithm and an image difference value superposition method to obtain a welding path; the method has the advantages that center positioning is rapidly achieved, the method can be suitable for circumferential welds with different diameters, the welding cost is reduced, and the welding yield is increased.

The invention provides an online evaluation method and system for the magnetizing inrush current suppression capability of a transformer, and relates to the technical field of power system operation evaluation, and the method comprises the steps: collecting the fracture voltage data of a primary winding of the transformer, and calculating the initial residual magnetism amount of an iron core through a magnetic flux reconstruction algorithm; an improved harmonic superposition method is adopted to decompose a transformer input transient primary side current waveform, a harmonic component is obtained through screening, and a distortion coefficient of the harmonic component is calculated; substituting the distortion degree coefficient and the initial residual magnetism quantity of the iron core into the established hysteresis loop model to obtain a working point track of the transformer iron core at the moment of input; and based on the dynamic change characteristic of the working point track, the working point track is corrected by combining the micro magnetic conductivity parameter of the iron core material, and an evaluation index of the magnetizing inrush current suppression capability of the transformer is obtained. According to the method, the dynamic characteristics and the nonlinear loss characteristics of the inrush current harmonic waves are quantified, the inrush current risk when the transformer is put into operation is effectively reduced, and the safety and the stability of power system operation are enhanced.

The invention discloses a layer superposition method and a layer superposition device. The layer superposition method comprises the following steps: receiving at least two pieces of layer data and priority information corresponding to the at least two pieces of layer data; calculating an overlapping region of the at least two pieces of layer data based on preset parameters; based on the priority information, caching the layer data which are located in the overlapping region and have the highest priority information, and caching the layer data located outside the overlapping region; and fusing the cached layer data to obtain a target layer. The preset parameters and the priority information corresponding to the at least two pieces of layer data are obtained in advance, the overlapping area of the at least two pieces of layer data is obtained through parameter calculation, and the layer data located in the overlapping area are selected and stored based on the priority information, so that all input layer data do not need to be cached; the number of post-stage scalers needing to read corresponding input layer data is reduced, and overlapping display of more layers is achieved under the condition that the bandwidth of the DDR buffer is the same.

This invention relates to a data processing method and storage medium for ice-elastic plate compression tests in the field of ship structural mechanics. The method includes the following steps: performing a compression test by compressing an ice sample with an elastic plate; after the compression test, obtaining the test pressure value and strain gauge test values ​​of the ice sample under compression; selecting a preset order mode shape using the modal superposition method to obtain a fitted deflection function; determining the fitted strain value corresponding to each test point of the elastic plate based on the fitted deflection function; calculating the time coefficient by combining the strain gauge test values ​​and the fitted strain values ​​using the least squares method to obtain the fitted deflection distribution function of the elastic plate; and calculating the compression energy of the elastic plate and the ice sample based on the fitted deflection distribution function and the test pressure value. This method focuses on the deformation of the elastic plate to explore the interaction between ice and the structure from an energy perspective, considering the feedback influence of structural deformation on the action process, thus forming a universal method for predicting ice loads.

The invention relates to the technical field of automobile suspension component design, in particular to a design method of a single-face double-groove section automobile suspension steel plate spring, which comprises the following steps of: splitting a single-face double-groove section into a flat plate part and a groove part by adopting a superposition method, respectively calculating rotation inertia moments and areas of the two parts, and then superposing; by accurately calculating the rotation inertia moment and the area of the section of the single-face double-groove steel plate spring, the rigidity, deflection, stress and weight parameters of the single-face double-groove section automobile suspension steel plate spring can be accurately designed and calculated, and the design requirements of an automobile suspension for the rigidity, deflection, stress and weight parameters of the steel plate spring are met.

The invention belongs to the technical field of vehicle dynamics control, and particularly discloses a compensation and limit value-based dynamic wheel load estimation method and system, and the method comprises the steps: obtaining an initial wheel load through a direct superposition method based on a vehicle static parameter and in combination with a vehicle motion parameter monitored by an inertial sensor in real time; the initial wheel load is taken as an adjustment basis, various compensation means are adopted, and the wheel load value is dynamically optimized in combination with the real-time running state of the vehicle; based on multiple limiting conditions, the wheel loads after compensation and correction are restrained and adjusted, and final real-time dynamic wheel loads of the left front wheel, the right front wheel, the left rear wheel and the right rear wheel are output. According to the method, through a three-stage collaborative optimization mechanism of basic calculation, compensation correction and physical limit values, the defects of high calculation complexity, poor robustness, high engineering implementation cost and the like caused by excessive dependence on high-precision sensor fusion and a complex dynamic model in the prior art are effectively overcome; and the estimation precision and the system robustness are remarkably improved while the calculation efficiency is ensured.