136 results about "Fast evaluation" patented technology

The invention provides a quick evaluation method and system supporting any function, and the method comprises the steps: configuring hardware parameters which comprise the upper limit of lookup table capacity and the number of preset segmentation intervals; an input variable value is divided into a plurality of segmented intervals, an input variable starting point and a corresponding sampling step length of each segmented interval are determined, discrete sampling is carried out on the input variable, a corresponding target function output value is calculated, and the target function output value corresponding to the input variable starting point is an initial threshold value; writing each initial threshold value and an objective function output value corresponding to the sampling point into a lookup table memory; in the target function calling process, searching a first sampling point and a second sampling point adjacent to the current input variable according to the current segment interval and the current sampling step length of the current input variable, and reading a first target function output value and a second target function output value; and according to an interpolation formula, calculating to obtain a target function output value corresponding to the current input variable.

The invention belongs to the related technical field of AGV scheduling, and discloses a rapid evaluation collaborative optimization scheduling method and system for workshop multi-load AGV scheduling and path planning. The method comprises the following steps: S1, determining the total number of tasks of a to-be-processed workshop, the total number of AGVs, the number of trays on each AGV and the bearing capacity of a single tray; s2, initializing individuals in the bee colony and the total number of the individuals; calculating the transportation completion time of each individual and the shortest transportation completion time of the bee colony; s3, updating the bee colony and calculating the transportation completion time of each individual after updating; and S4, repeating S3 until a preset termination condition is reached, thereby obtaining the shortest transportation completion time and the individual corresponding to the shortest transportation completion time, and realizing a scheduling process. According to the invention, the transportation efficiency is obviously improved, and the production cost is reduced, so that the economic benefits of enterprises are improved.

The invention relates to the technical field of intelligent manufacturing, and discloses a production scheduling system of a production line and a scheduling method thereof. According to the system and method, key information such as production orders, equipment states and raw material inventory is collected in real time through the data collection unit, basic data is provided for subsequent analysis, the data analysis unit can rapidly evaluate the production capacity and the resource utilization rate, the orders are subjected to priority ranking, and it is ensured that the production efficiency is improved in the dynamically changing market environment. The production plan can preferentially meet the most emergency and important requirements, the scheduling decision-making unit rapidly generates an optimized preliminary schedule by applying an advanced scheduling algorithm, the manual intervention time is shortened, the response speed is improved, the scheduling execution unit ensures that a production instruction is issued and executed in time, the production progress is monitored in real time, and the production efficiency is improved. And the optimization unit continuously improves a scheduling strategy by evaluating and feeding back an execution result, so that the production efficiency is improved, the cost is reduced, and meanwhile, the timeliness of delivery and the customer satisfaction are ensured.

The invention discloses an intelligent construction method and system for a highway super-large-section tunnel. The method comprises the steps that a drilling parameter set of a tunnel face is collected in the drilling process of the highway super-large-section tunnel; determining multiple groups of paired drilling parameters according to the drilling parameter set, and determining drilling parameters of different sections; based on the drilling parameter set and the drilling parameters of the different sections, the overall surrounding rock level of the tunnel and the surrounding rock levels of the different sections are determined through a pre-trained surrounding rock grading model based on machine learning; and according to the overall surrounding rock level and the surrounding rock levels of the different sections, a corresponding tunnel supporting scheme is generated, so that intelligent construction of a tunnel is achieved. According to the embodiment of the invention, the method can achieve the quick evaluation of the surrounding rock level through the combination of artificial intelligence, generates a corresponding supporting scheme, and improves the safety and efficiency of construction.

Disclosed in the present disclosure is a fast evaluation method of site seismic liquefaction hazard based on artificial intelligence algorithm: establishing a historical seismic and site information database, the database including a demand input module, a web crawler module, a data processing module, and a database module connected in sequence; a neural network model performs prediction to acquire a post-earthquake site dominant frequency; and, on the basis of the post-earthquake site dominant frequency, acquiring a site earthquake damage degree and seismic performance parameters. The present disclosure solves the problem of fast evaluating post-earthquake site earthquake damage and site seismic performance parameters, and can rapidly evaluate the site liquefaction or softening earthquake damage degree and site seismic performance parameters in given earthquake conditions.

The invention provides a method for rapidly evaluating the residual strength of a damaged composite stiffened wallboard structure, which is applied to the evaluation of the residual strength of a composite stiffened wallboard in an undetectable area in an actual aircraft structure under possible accidental source damage, and comprises the following steps: (1) damage identification based on a piezoelectric sensing system; (2) carrying out damage equivalence on a damage identification result; (3) constructing a residual intensity database; (4) training a neural network model of the residual intensity database; and (5) quickly evaluating the residual strength of the actual damaged wallboard based on the sensing system and the neural network model. After a flight task of a flight product is completed, on the premise that database construction and model training are completed in the earlier stage of the ground, the method can greatly shorten the evaluation period of the residual strength performance of the composite material stiffened wall plate, and therefore the method serves for identifying the re-flight capacity of an aircraft.

The invention relates to the technical field of tire simulation design, in particular to a tire braking performance rapid evaluation method and system and a program product. According to the method, the friction coefficient (mu-s curve) of the tire under different slip rates is obtained through finite element simulation or multi-body dynamics simulation. Then, assuming that the slip rate of the tire obeys normal distribution in the actual braking process, the mean value is the slip rate corresponding to the maximum mu value in the mu-s curve, and the standard deviation is 1; thirdly, multiplying the probability density function of the normal distribution by the mu-s curve to obtain a weighted braking force coefficient, integrating the weighted braking force coefficient, and calculating a comprehensive braking performance index mu effective of the tire; the larger the [mu] effector value is, the better the braking performance of the tire is. According to the method, the simulation technology and the statistical distribution model are combined, the braking performance of the tire is rapidly and accurately evaluated, the whole calculation process is about 2 hours, and the time for calculating the braking performance of the tire is obviously longer than 48 hours required by traditional explicit dynamics analysis.

The invention discloses a method and a system for rapidly evaluating aerodynamic performance of an automobile body appearance. The method specifically comprises the following steps: generating a geometric curved surface sample of an automobile body surface by adopting a parameterized design method; carrying out fluid numerical analysis on a vehicle body external flow field; an encoder for vehicle body appearance surface geometry is established, and the geometric structure of the vehicle body surface is recognized; establishing a prediction model based on a multi-scale map neural network, and performing geometric data memory, transmission and updating on the flow field of the vehicle body appearance surface; and outputting vehicle body aerodynamic characteristic parameters (a resistance coefficient, a lift coefficient and a lateral force coefficient) and an error level. Compared with the prior art, the neural network algorithm is ingeniously designed, rapid prediction of the aerodynamic characteristic parameters of the automobile body is achieved, the method can be used for rapid performance evaluation in the automobile body development process, the design efficiency is improved, and the development cost is reduced.

The invention provides an AI Agent automatic optimization method. The method comprises the steps of constructing a multi-dimensional performance evaluation system, defining Agent performance indexes, establishing a quantitative evaluation model, carrying out weighted summation calculation to generate a comprehensive performance score, and positioning a performance short board. A multi-dimensional optimization target is generated, a strategy candidate set is generated based on a domain knowledge graph and historical optimization cases, and the optimization target is converted into a reward function of reinforcement learning based on reinforcement learning and human feedback; simulating training by utilizing a strategy candidate set, quickly evaluating the expected income of each strategy through Monte Carlo tree search, and screening out an optimal candidate strategy; and the ambiguity or high-risk strategy receives expert scores or correction suggestions, and converts the scores or correction suggestions into feedback reward optimization strategy sorting. According to the method, optimization efficiency and iteration speed are improved, optimization accuracy and adaptability are enhanced, manual intervention is reduced through the domain knowledge graph and a man-machine cooperation mechanism, high-risk strategies are avoided, and optimization safety and reliability are guaranteed.

The invention relates to the technical field of material detection, in particular to an automobile armrest quality rapid evaluation method and device, and the method comprises the steps: setting a camera to face a to-be-detected surface of an armrest, and determining the position and effective illumination angle of a part in an image; the light source irradiates at an inclined angle of 45 degrees and rotates around the center of the handrail, and the camera shoots an image once after passing through a fixed step length theta; performing gray scale unification processing on the image; shadow change areas in the front and back images are calculated, and the shadow change areas correspond to all the components; all the corresponding shadow change areas in the effective illumination angle are screened out by all the components and then combined to form a shadow area, and the equivalent centroid is calculated; and calculating the perpendicularity and the distance of a connecting line between the center of each part and the equivalent mass center, calculating a final evaluation score, and if the evaluation score is greater than a set threshold value, judging that the quality of the automobile armrest is unqualified. According to the invention, the problems of low detection efficiency and poor detection accuracy in the prior art can be effectively solved.

The invention discloses a crane main beam non-probability reliability assessment method based on a convex set model, and the method comprises the steps: collecting the working condition and key section multi-source data of a crane, and carrying out the time alignment, missing measurement compensation and time-frequency feature extraction; selecting a parameter vector influencing the safety of the main beam, and constructing a combined convex set uncertain domain consisting of an interval box, an ellipsoid set and polyhedron linear constraints; based on a finite element and radial basis function substitution model, main beam key section response mapping is established, the proportion of equivalent stress and deflection relative to an allowable value is obtained, and an overall limit criterion is formed; executing worst case search in the uncertain domain, and calculating an opposite number of a maximum value of a limit criterion as a non-probability reliability index; and reliability indexes are further calculated and summarized at the section layer and the main beam layer, and the reliable state grading of the main beam is realized according to a preset threshold value. The method does not need to depend on probability distribution hypothesis, and rapid assessment of the safety of the crane girder can be realized under small sample and multi-source uncertain conditions.

The invention discloses a deep-water explosion container dynamic response prediction method, and relates to the technical field of deep-water structure safety protection, a deep learning prediction model is established, material characteristic parameters and external load parameters are taken as inputs, container dynamic response indexes are taken as outputs, model training, verification and testing are carried out by using a sample set, and a deep-water explosion container dynamic response prediction model is obtained. And a deep-water explosion container dynamic response prediction model capable of rapidly predicting the dynamic response of the container is obtained. According to the method, a high-quality training data set is constructed through numerical simulation, so that the physical authenticity and prediction precision of a machine learning model are ensured; and the trained model can realize rapid prediction of dynamic response, so that the problem that the precision and the efficiency are difficult to balance in the existing method is effectively solved, and the requirements of rapid evaluation and real-time early warning in engineering are met. The data set contains the explosion load parameters and the deepwater environment parameters, the defect that the application range of a traditional empirical formula is narrow is overcome, and the engineering application cost is reduced.

The invention belongs to the field of 3D printing concrete, and particularly relates to a method for rapidly evaluating the printability of 3D printing concrete based on torque feedback, and the method comprises the steps: firstly setting an actual printing unit, a small simulation unit and an effect detection unit, and then enabling the actual printing unit and the small simulation unit to synchronously print and stir the same fresh concrete material; recording respective torque-rotating speed curves and printing effect evaluation, establishing a database in a one-to-one correspondence manner, obtaining a torque characteristic optimal printing interval according to existing data, then printing a concrete material with unknown characteristics through a small simulation unit, and judging whether the torque characteristic of the material falls into the torque characteristic optimal printing interval or not; the printability of the concrete material can be rapidly evaluated by using the method, the material consumption required by an actual printing test is reduced, and meanwhile, rapid and accurate feedback can be provided for concrete material design and printing performance targeted optimization; and the reliable evaluation of the printability of the material can be completed in only about 0.5 hour.

The invention discloses a pile forming form and inter-pile soil compactness evaluation method based on vibro-replacement gravel pile construction data. The method comprises the steps of finding a pseudo-residual vibration working section according to a real-time construction depth-time curve, determining a key stage according to a real-time construction filling amount-time curve, finally finding a time node of downward insertion / upward pulling of a gravel pile by a vibroflot according to an amplitude change rule of a real-time construction current-time curve, calculating a transverse extrusion and expansion range after reinforcement, and finally determining a reinforcement result. And the pile forming form is estimated, and the average compactness of the soil between the piles of the reinforced field is calculated. According to the method, evaluation of the pile forming form and the compactness of the soil between the piles is achieved through on-site construction data, and the method has the advantages of being high in evaluation speed, high in accuracy and the like and is suitable for reinforcing effect evaluation of the vibro-replacement gravel pile treatment foundation with the down-inserting and up-pulling construction technology.

The invention discloses a method for rapidly evaluating an S parameter of a multi-layer PCB port in a multi-stage waveguide structure, and the method comprises the steps: decomposing a system into a plurality of mutually independent subsystems, representing a propagation channel of electromagnetic energy as a signal pipeline, and representing a reflection position of the energy as a reflection node, thereby building a signal energy flow diagram of the system. On the basis, scattering parameters of the subsystems are obtained through a numerical simulation method, and a corrected BLT equation capable of representing the electromagnetic field-circuit bidirectional coupling relation between the subsystems is deduced in combination with propagation equations of all signal pipelines and scattering equations of all reflection nodes of the system; and the S parameter of the multi-layer PCB port in the multi-stage waveguide structure can be obtained by solving the equation. The method has the advantages of being simple in algorithm, accurate in result, high in efficiency and the like, is suitable for a multi-stage waveguide structure of any geometrical shape, and can achieve rapid evaluation and analysis of the electromagnetic coupling effect in electronic equipment with a waveguide-shaped shielding structure in a complex electromagnetic environment.

The present invention discloses a rapid evaluation method for the reflection crosstalk influence of a circulator fronthaul system, and relates to the field of optical communication technology. The method comprises: taking the DU side of the circulator fronthaul system as the local end and the AAU side as the opposite end, connecting a power test device to any receiving end of a local multiplexer for demodulating optical signals; obtaining a reflection equivalent influence factor of the receiving end based on the power test device, which is defined as the power difference between the power of the optical signal transmitted by the opposite end reaching the receiving end of the local end and the power difference between the reflected optical signal of the corresponding optical signal transmitted by the local end reaching the receiving end of the local end; comparing the reflection equivalent influence factor with a threshold value under predetermined conditions to evaluate the influence weight of the reflected optical signal on the circulator fronthaul system, and then determining whether the transmission line meets the design or construction requirements.

The invention relates to the technical field of power system dynamic safety analysis, and discloses a mechanism-data fusion new energy power system minimum inertia demand rapid evaluation method, which comprises the following steps: in an offline stage, establishing an expansion system frequency response model containing new energy; generating a plurality of sample scenes in a given disturbance power range and a new energy permeability range; a model minimum inertia demand and a simulation minimum inertia demand are obtained through expansion of a system frequency response model and stepping type time domain simulation calculation, a polynomial regression method and a polynomial regression equation are utilized, and the coefficient and order of the polynomial regression equation are determined by adopting an optimization algorithm; during online evaluation, real-time disturbance power and new energy permeability of a power grid are obtained; and obtaining a model minimum inertia demand and a corresponding minimum inertia demand deviation compensation value, and outputting a final system minimum inertia demand evaluation result. According to the method, the final evaluation result has the calculation efficiency of the extended SFR model and the evaluation precision of stepping simulation.

The invention discloses a rapid pressure pipeline flow evaluation system and method based on RTK and non-contact liquid level sensor integrated measurement. The system comprises an integrated portable inspection well water surface elevation acquisition device and a matched data processing module. The device integrates RTKGNSS positioning, non-contact liquid level measurement and inclination angle compensation functions, and the relative distance of the water surface of an inspection well and the absolute coordinates of the device can be rapidly obtained; and after receiving the data, the matched data processing module calculates the absolute elevation of the water surface, derives the hydraulic gradient of the pipeline in combination with input pipeline parameters, and evaluates the flow velocity and the flow through a hydraulic formula. The method is based on the system, and rapid evaluation is achieved through the steps of initialization, multi-well collection, elevation calculation, slope derivation and flow evaluation. Pipe bottom elevation is not needed, the system integration degree is high, deployment is fast, precision is high, and the method is suitable for fast investigation and temporary flow monitoring of the urban underground pressure pipe network.

The application discloses a kind of based on GC-IMS pure milk flavor sensory digitalization fast evaluation method, belong to food analysis and evaluation technical field.The pure milk sample to be measured is detected by headspace sampling using GC-IMS, and a fingerprint spectrum is obtained.The fingerprint spectrum data or characteristic volatile component data is input into the OPLS-DA model, and the preference degree of pure milk is evaluated according to the clustering result.The construction method of OPLS-DA model is as follows: different pure milk samples are selected, and CATA sensory evaluation method is used for sensory evaluation of pure milk samples.Different pure milk samples are detected by headspace sampling using GC-IMS, and a fingerprint spectrum is obtained.Partial least squares-discriminant analysis method is used for regression modeling using fingerprint spectrum data or characteristic volatile component data to obtain OPLS-DA model.The application uses GC-IMS to digitally and quickly evaluate the flavor of pure milk, which has high sensitivity, does not require sample enrichment and concentration, saves detection time, and avoids tedious pretreatment process.

The application discloses a kind of based on impedance model's wind farm grid-connected stability fast evaluation method and system, it is related to power grid system technical field, S1, the physical model of wind farm grid-connected system is established;S2, the impedance model of wind farm and power grid is established;S3, suitable evaluation index is selected;S4, impedance matching analysis is carried out;S5, dynamic response characteristic is evaluated;S6, steady-state analysis is carried out;S7, the influence of grid connection on power grid is evaluated;S8, control strategy is designed, and the system is built based on the above method.The based on impedance model's wind farm grid-connected stability fast evaluation method and system, by constructing accurate wind farm and power grid impedance model, and combining multiple evaluation indexes and control strategies, comprehensive, fast evaluation of wind farm grid-connected stability is realized, potential stability problems can also be effectively identified and solved, and powerful support is provided for the safe, efficient grid connection of wind farm.

The application relates to the technical field of trajectory planning, and proposes a fast evaluation search method, a system and a terminal device of an optimal trajectory. The fast evaluation search method comprises the following steps: sampling a plurality of state points in a pre-planning space, performing pre-collision detection on the state points to remove points in conflict with obstacles, and obtaining effective sampling points; performing cost evaluation on the effective sampling points, wherein the cost evaluation comprises heuristic cost based on historical planning trajectory information and static cost based on motion characteristics; based on the result of the cost evaluation, iteratively searching from an initial state point: calculating the trajectory cost of a neighborhood state point and updating a search path in a gradient direction until an optimal feasible trajectory is output. The application improves the search efficiency of the trajectory by pre-collision detection to screen out invalid sampling points and a gradient iterative search mechanism.

The invention relates to the technical field of tire simulation design, in particular to a rapid evaluation method and system for noise of a tire with complex patterns and a program product. The method comprises the following steps: establishing a tire model with complex pattern distribution, simulating static loading and steady-state rolling processes, dividing tire rolling into a plurality of increment steps, collecting vertical impact force and horizontal friction force in real time, synthesizing data by adopting a preset weight, then carrying out Fourier transform, generating a frequency-amplitude curve, and calculating a frequency-amplitude curve according to the frequency-amplitude curve. And rapid evaluation of low-frequency, medium-frequency and high-frequency noise is realized. Experimental results show that the overall calculation time is shortened to about 3 hours from more than 12 hours in a traditional method, data processing only needs 1 minute, evaluation errors are all lower than 5%, and a reliable basis is provided for tire design optimization.

The present application belongs to the technical field of flexible robots, and relates to a structure optimization method of a fin ray effect gripper, comprising the following steps: step 1: a co-rotation modeling method is used to construct a force-deformation relationship model of the fin ray effect gripper as a fast evaluation model of the performance of the gripper; step 2: structure optimization design parameters and multi-objective performance evaluation indexes of the fin ray effect gripper are determined; step 3: based on a Bayesian optimization algorithm, the fast evaluation model is combined to construct a multi-objective structure optimization framework, global optimal sample search is performed on the design parameters, and a Pareto front is solved; and step 4: experimental verification is performed on typical optimal parameter combinations in the Pareto front, and optimal structure parameters of the gripper suitable for different gripping scenes are output. The present application can be applied to the design and optimization of flexible, rigid and rigid-flexible hybrid robot compliant mechanisms, and can be widely applied to the high-performance design and parameter tuning of gripper structures in industrial gripping, service robots, precision operation and the like.

The application belongs to the technical field of multidisciplinary design, and discloses a data-driven AUV multidisciplinary design optimization method considering time consumption difference of simulation units. The method comprises the following steps: generating initial samples for an optimization object and dividing the initial samples into design samples of each discipline sequence; analyzing high-fidelity evaluation average time consumption of the design samples of each discipline sequence, calculating expansion multiples of the design samples of other non-most time-consuming discipline sequences based on the design samples of the most time-consuming discipline sequence as a benchmark to construct design samples according to a total time consumption consistency principle, performing high-fidelity evaluation on the constructed design samples to construct a discipline sequence library; establishing a proxy model of each discipline sequence based on the discipline sequence library; and dividing a multidisciplinary system of the optimization object into each discipline sequence and performing rapid evaluation based on the corresponding proxy model. The method of the application significantly improves optimization efficiency by solving the problem of evaluation time heterogeneity in the process of multidisciplinary design optimization.

The invention discloses a method for evaluating thermal decomposition behavior characteristics and risk degrees of same-type derivatives, which comprises the following steps of: firstly, carrying out a DSC (differential scanning calorimetry) test on the same-type derivatives of a certain substance to obtain initial thermodynamic data; analyzing an exothermic peak curve of the DSC, obtaining an after-treatment curve of exothermic quantity, conversion rate-temperature and reaction rate-temperature, and calculating thermal decomposition characteristic parameters including activation energy, pre-exponential factors, a decomposition mechanism function model, comprehensive thermal decomposition characteristic parameters and self-accelerated decomposition temperature; further quantitatively characterizing microstructure characteristics of group types, group positions and group volumes by using electronegativity, Hammett constants and group topological volumes, constructing a relation model between pyrolysis characteristic parameters and microscopic parameters by using a correlation coefficient, regression analysis and a judgment matrix, and determining the molecular structure of the same type of derivative according to a given molecular structure of the same type of derivative. Calculating corresponding pyrolysis characteristic parameters; and according to the property and process of the chemical reaction, establishing a pyrolysis risk degree calculation model of the same type of derivatives, and quantitatively evaluating the risk degree.

The application discloses a kind of small reservoir dam safety monitoring facility operating state fast evaluation method. Including: obtaining the initial measuring point state of target dam safety monitoring facility and field detection state, determine the measuring point ontology state;Obtain the monitoring time series in the set statistical period and execute singular value identification, obtain the identification result;Based on monitoring time series and identification result, calculate data anomaly proportion, current data stop detection duration and effective data missing duration;As a reference, determine the measuring point working state based on the preset threshold value determination rule;Combined with measuring point ontology state and working state, determine and output the evaluation result of the operating state of facility.The application can reduce the evaluation error caused by non-stationary environmental interference and data pollution, realize efficient, accurate quantification classification of the real reliability level of monitoring facility.

The invention provides a GEO electric propulsion satellite orbital transfer process solar cell radiation effect rapid evaluation method, which comprises the following steps that: firstly, a solar cell radiation damage space distribution database is constructed through space radiation effect analysis software, and the database comprises daily average equivalent 1MeV electron flux distribution data under different orbit heights, inclination angles and cover glass thicknesses; generating satellite space track data according to an electric propulsion orbital transfer strategy; counting accumulated operation time of the satellite in each height and dip angle interval according to a preset interval; and finally, multiplying and accumulating the daily average equivalent 1MeV electron flux corresponding to each interval by the accumulated running time to quickly obtain the accumulated equivalent 1MeV electron flux in the whole orbital transfer process. Therefore, the problem of long calculation time consumption of a traditional method is solved, and rapid evaluation support can be provided for radiation mitigation optimization design of the orbital transfer strategy.

The invention discloses a manned lunar vehicle elastic wheel traction performance rapid evaluation method and device, and the method comprises the steps: building a virtual lunar soil model based on a discrete element method, and obtaining the ground mechanics parameters of the interaction of lunar soil and wheels through a virtual pressing plate test and a virtual shear test; on the basis of the terramechanics parameters and the wheel parameters, the wheel soil acting force is calculated through an improved semi-empirical model, so that the traction performance of the wheels is evaluated; solving a wheel soil contact parameter by adopting an iteration mode, and evaluating the traction performance of the wheel according to the calculated wheel soil acting force; wherein the improved semi-empirical model divides the contact area of the wheel and the lunar soil into an elastic contact area with elastic deformation and a rigid contact area without deformation, the wheel soil acting force in the two areas is calculated respectively, and the wheel structure parameters and the lunar soil parameters are analyzed in a simulation mode according to the wheel structure parameters and the lunar soil parameters. And the traction performance such as hook traction force, rolling resistance and rolling efficiency of the elastic wheel can be quickly calculated.

This invention discloses a rapid evaluation method for the enhancement factor of the dynamic coefficient by the high-frequency component of a strong impact load, belonging to the field of structural dynamic response analysis technology. This method performs time-frequency domain energy accumulation analysis on the strong impact load signal, extracts the concentrated frequency of load energy and its proportion in the total energy, and then, based on this, combines the dynamic amplification factor under the triangular time history assumption to quantitatively calculate the enhancement factor of the dynamic coefficient by the high-frequency component of the strong impact load. This method is further extended to arbitrary frequency components and the entire frequency band to obtain the comprehensive enhancement result of the dynamic amplification factor by the high-frequency effect of the strong impact load. Compared with traditional dynamic analysis methods based solely on idealized time history assumptions, this invention can introduce the real time-frequency characteristics of strong impact loads while maintaining computational efficiency, effectively compensating for the insufficient consideration of high-frequency excitation effects. It is applicable to rapid dynamic response evaluation in engineering fields such as aerospace structures, high-frequency components, and precision equipment.

The invention discloses a workshop-oriented traffic vibration load influence rapid evaluation method, which comprises the following steps of: arranging an instantaneous synchronous measurement array comprising a plurality of measurement points on one side, adjacent to a traffic road, of a workshop area along the direction vertical to the road; performing 1 / 3 octave analysis on the vibration data of each measuring point to obtain a vibration speed effective value of each measuring point under each 1 / 3 octave center frequency; for each 1 / 3 octave center frequency, performing power function fitting on the vibration velocity effective value of each measuring point under the frequency and the distance from the measuring point to the road, and establishing a frequency-space attenuation model; and determining a vibration velocity frequency spectrum of the target position caused by traffic vibration by using a frequency-space attenuation model, and calculating a traffic vibration dominance index TVDI of the target process equipment in combination with vibration sensitive characteristics of the target process equipment so as to quantitatively evaluate the influence degree of the traffic vibration on the target process equipment. According to the invention, traffic vibration influence evaluation is realized through one-time short-time synchronous measurement.