218 results about "Response Parameters" patented technology

The invention discloses a tunnel blasting quality evaluation and optimization method based on multi-source data fusion, and belongs to the field of tunnel blasting quality evaluation, and the method comprises the steps: collecting and preprocessing multi-source data of a tunnel blasting region; based on the preprocessed multi-source data, performing blasting quality evaluation according to local back break, a blasting contour line, average linear back break and point cloud extraction to obtain a blasting quality evaluation result; according to the blasting quality evaluation result, the blasting quality is graded, and a comprehensive blasting quality score is calculated and graded; and establishing a database containing geological parameters, surrounding rock response parameters and blasting process parameters, training through a convolutional neural network model to generate a blasting parameter optimization scheme, and dynamically adjusting blasting parameters of the next cycle according to the comprehensive blasting quality score. According to the method, the blasting parameter optimization and the quality evaluation process are closely combined to form a closed-loop system, the specific situation in the construction can be reflected in real time, and the accuracy of the blasting effect is ensured.

The invention discloses a road protection multi-scene coupling simulation method and system based on digital twinning, and relates to the field of electric digital data processing, and the method comprises the steps: collecting dynamic response data (strain, acceleration and displacement) of a traffic protection facility through multiple sensors, and building a scene feature library containing vehicle collision, wind load and seismic waves; and projecting response data to a unified time axis, identifying a multi-scene overlapping interval, and determining an action sequence and duration. Primary and secondary scenes are judged according to scene action parameters, and mechanical correction values and standard response parameters are extracted. And establishing a digital twinborn model for coupling simulation to obtain a stress distribution condition, evaluating a structural damage level and generating a safety performance report. By implementing the method, the deviation between the mechanical property simulation result of the protection facility and the actual working condition can be reduced.

The invention discloses an intelligent water supply management system and method based on wind-light-water multi-source data fusion, and relates to the technical field of electric digital data processing. The system comprises a time alignment deviation quantification module, a time alignment regulation and control module, a data fusion timeliness response quantification module and a timeliness response regulation and control module. According to the method, the time alignment deviation quantization result is obtained by quantizing the multi-source data time parameters, whether time alignment regulation is carried out or not is judged, if yes, the timeliness response parameters are obtained after regulation, and if not, the timeliness response parameters are directly obtained and quantized to obtain the data fusion timeliness response quantization result; and whether PLC scanning interval regulation and monitoring verification are carried out or not is judged based on the data fusion timeliness response quantification result, so that the timeliness of water supply management demand response is improved, and the problem that in the prior art, the water supply management execution response flexibility is poor due to the fact that the time difference of multi-source data processing is not fully considered is solved.

The invention discloses a building structure anti-seismic toughness optimization method and system based on deep learning, and relates to the technical field of anti-seismic toughness optimizing.In operation of the system, a sensing network is deployed, multi-dimensional dynamic response parameters in the vibration process of a building structure are collected, preprocessing and sliding window characterization are carried out on a collected parameter set, and the anti-seismic toughness of the building structure is optimized; encoding the input tensor TXF, extracting a deep space-time coupling feature generation coefficient, performing multi-dimensional composite calculation on an anti-seismic stress energy coefficient SEC, a response co-motion coefficient RSC and a damage evolution index DEI to generate a system-level evaluation core index toughness spectrum evolution index REX, and comparing the toughness spectrum evolution index REX with a preset threshold value to obtain the evaluation core index. Grading and risk positioning are carried out on the current state of the building structure, a generated control strategy is sent to an execution layer, a damping adjusting device, a shock insulation layer controller or component repairing equipment is linked to complete structure regulation and control, and response is carried out after real-time acquisition and optimization.

The invention discloses a specific scene safety risk identification method based on visual dynamic analysis, and belongs to the technical field of safety monitoring, and the method specifically comprises the steps: collecting environment parameter time sequence data and cargo state time sequence data of a monitoring region; respectively extracting an environment characteristic component and a cargo response component; calculating a quantized value of correlation strength of the two through an information entropy algorithm, and marking the quantized value as a cargo response entropy value; a cargo response entropy evolution curve is monitored, and when the change rate of the evolution curve exceeds a historical threshold value and the change acceleration is not zero, it is judged that a state transition event occurs; extracting environmental incentive parameters and cargo response parameters of a state transition event, encoding the environmental incentive parameters and the cargo response parameters into risk feature tensors, inputting the risk feature tensors into the accident incentive chain knowledge base, outputting a matched critical intervention parameter set, and formulating an environmental reconstruction instruction set and a cargo intervention instruction set according to the critical intervention parameter set; according to the invention, the intelligent level and risk response capability of dangerous cargo safety early warning are effectively improved.

The invention discloses a digital calibration system and method for dynamic response parameters of a surge protection circuit, relates to the technical field of power electronic protection and test calibration, and is used for solving the problem that an existing surge protection circuit calibration method cannot reflect device degradation and dynamic response mismatch. Surge event voltage and current waveforms are collected through a synchronous trigger mechanism, non-stationary signal features are extracted through combined time-frequency analysis, and a voltage-current phase trajectory diagram is constructed to generate a response feature matrix; performing phase-space reconstruction on the matrix, calculating Kolmogorov entropy quantification system stability, and establishing a material degradation transfer function in combination with an energy absorption sequence to generate a grain boundary degradation index; key parameters are screened through L1 regularization regression, and a quantitative relation between a grain boundary degradation index and a protection threshold value is established to realize adaptive threshold value calculation; and executing strategy switching from calibration to predictive maintenance according to the degradation trend and threshold fluctuation change, and outputting a maintenance signal to complete dynamic accurate calibration and reliable operation of the surge protection circuit.

The invention relates to an LED display screen fault detection method and device, equipment and a medium. The method comprises the following steps: in response to an obtained fault detection instruction, sending a preset standardized excitation pattern sequence to a target LED display screen, and synchronously generating a response acquisition instruction; obtaining response data, and binding the response data with the excitation frame number of the standardized excitation pattern sequence to obtain a response parameter; the response parameters comprise excitation frame numbers, thermal imaging data, actual display response images and electrical parameters; performing feature extraction on the response parameter to obtain a multi-source feature vector; the multi-source feature vector comprises a response feature and a time sequence feature; fault type classification and early warning prediction are carried out according to the multi-source feature vectors, and a detection result is obtained; the detection result comprises the risk level, the current display screen type and the corresponding probability. The method can effectively solve the problems of single perception information, lack of prediction capability, high false alarm rate and the like of a traditional method, and fault detection and fault risk assessment are carried out on the LED display screen.

The invention discloses a multi-mode cooperative tractor intelligent chassis control method and system, and the method comprises the steps: obtaining visual image data, chassis pressure data and position coordinate data, carrying out the data fusion of the above data, and constructing an environment state matrix; determining the type of an obstacle according to the environment state matrix, obtaining an obstacle characteristic parameter set, calculating the collision risk of the tractor and the obstacle, and calculating a risk coefficient; if the risk coefficient is larger than a preset safety threshold value, the suspension rigidity and the damping coefficient are calculated according to the obstacle type and the topographic features, and suspension control parameters are obtained; and acquiring ground surface hardness data of a to-be-operated area, adjusting the suspension control parameters according to the ground surface hardness data, and generating a chassis response parameter set. The problem that chassis parameters of a tractor chassis cannot be adaptively adjusted in complex terrains is solved, and the effects that the chassis parameters of a tractor are automatically adjusted according to real-time data, and the operation efficiency and safety are improved are achieved.

The invention discloses a multi-split air conditioning system controller hardware test method, and relates to the technical field of intelligent control system test and fault diagnosis, and the method comprises the steps: collecting the historical fault data of an industrial master controller, combining the dynamic load parameters of a multi-split air conditioning system, and obtaining a dynamic fault signal set through a generative adversarial network; fault signals in the dynamic fault signal set are injected into an industrial master controller of the multi-split air conditioning system, and a mapping data set containing time-fault type-response parameters is generated; and performing anti-fact analysis and causal graph modeling on the mapping data set through a causal inference engine, generating a probabilistic causal chain of the fault propagation path, and identifying a high-risk causal chain. According to the invention, the authenticity and diversity of fault signals in the controller test are improved, and the stability and reliability of the multi-split air-conditioning system controller under complex working conditions are also improved.

The invention relates to the field of man-machine interaction, and discloses an intelligent self-adaptive keyboard user health protection method and system, and the method comprises the steps: obtaining a pressure distribution map of a target user during the input of a self-adaptive keyboard, analyzing the joint accumulated stress, constructing a joint stress accumulation curve, extracting a fatigue response parameter, calculating the keyboard layout adaptation degree, and obtaining the fatigue response parameter. The method comprises the following steps of: simulating a muscle-bone injury accumulated value in a long-term input scene according to a layout adaptation degree, constructing a key travel adjustment data cluster, then integrating the data cluster and a preset rhythm feedback mechanism, generating a rhythm optimization target, calculating a collaborative vector value, in addition, identifying a local fluctuation state of a key area based on a health loss index, extracting a key fluctuation factor, and finally obtaining a key travel adjustment result. And analyzing and correcting the priority item, and finally generating an adaptive keyboard health protection scheme exclusive to the target user. The health risk caused by long-term use of the keyboard can be reduced.

The invention relates to the technical field of engineering monitoring, in particular to a large-tonnage pre-stressed anchor cable tensioning quality intelligent evaluation system which comprises a time sequence construction module, a track recognition module, a stability recognition module, a coordination analysis module and a quality evaluation module. According to the method, the trend direction and rate conjoint analysis is carried out on multiple types of response parameters in the anchor cable tensioning process, the response synchronism characteristics in the tensioning period and in the cross-period can be accurately recognized, the anchor cable response track with a time sequence structure is constructed on the basis, accurate recognition of the lag phenomenon and the trend closing relation is achieved, and the accuracy of the anchor cable tensioning process is improved. The method further extracts the dynamic correlation characteristics between the structural disturbance and the tensioning segments, enhances the substantive identification capability of the structural stability risk by means of the time domain coincidence analysis of the disturbance duration of the unstable segments and the falling time consumption, and improves the accuracy of the structural stability risk by normalizing the response rates of the segments with the time overlapping relationship. An index system reflecting the overall coordination level can be established in an anchor cable group.

The invention discloses a road and bridge support hidden danger monitoring and early warning method and system, and belongs to the technical field of road and bridge support hidden danger intelligent monitoring. Constructing a theoretical transfer relation model based on the synchronous vehicle load parameters and the synchronous support mechanical response parameters; generating a modified theoretical model based on the synchronous environment temperature parameters and the theoretical transfer relation model; obtaining a response residual error based on the corrected theoretical model, the synchronous vehicle load parameter and the synchronous support mechanical response parameter; acquiring a hidden danger characteristic mode based on the response residual error and the synchronous structure attitude parameter; acquiring a risk probability value based on the hidden danger feature mode; and obtaining graded early warning information based on the risk probability value and the hidden danger characteristic mode. According to the road and bridge support hidden danger monitoring and early warning method and system disclosed by the invention, the problems of false alarm and missing alarm in the prior art can be solved, and the accuracy and reliability of road and bridge support hidden danger monitoring are greatly improved.

The invention provides a glue joint insulation joint fatigue damage evaluation method and system considering random parameters, and relates to the technical field of rail vehicle wheel-rail contact analysis, and the method comprises the steps: obtaining first information; establishing a dynamic contact model of the wheel and the cementing insulation joint according to the first information, and performing simulation to obtain a dynamic response parameter in the contact process of the wheel and the track; performing fatigue damage analysis according to the dynamic response parameters to obtain fatigue damage parameters; performing fatigue life prediction according to the fatigue damage parameter to obtain a fatigue life prediction result; performing sensitivity analysis according to the fatigue life prediction result to obtain a sensitivity analysis result; and calculating the failure probability of the glue joint insulation joint according to the sensitivity analysis result, and evaluating the reliability of the glue joint insulation joint. According to the method, the dynamic contact model of the wheel and the cementing insulation joint is established by using the finite element method and simulation is carried out, so that high-precision wheel-rail contact dynamic response parameters are directly obtained.

The invention provides a method and system for identifying an omissive hydrocarbon reservoir of an old oil field based on rock debris and optical fiber monitoring, and the method comprises the steps: carrying out the multi-mode digital analysis of the stock rock debris of a target well of the old oil field, and obtaining the rock physical characteristic parameters of the rock debris; the method comprises the following steps: obtaining stratum dynamic response parameters through a distributed optical fiber sensing system arranged in a sleeve of a target well of an old oil field in advance; historical logging data of the target well of the old oil field are called, and standardization processing is conducted on the historical logging data to obtain a historical logging parameter set; static errors of a historical logging parameter set are corrected through rock physical characteristic parameters, and real-time dynamic constraints are provided through stratum dynamic response parameters; according to the type characteristics of the reservoir where the target well of the old oil field is located, the corresponding multi-parameter fusion identification method is adopted to obtain the position of the missing oil and gas reservoir, and the accuracy and reliability of missing oil and gas reservoir identification are improved.

The invention relates to the technical field of electrical parameter testing, in particular to an automatic testing system and method for a microwave component, and the system comprises a node density recognition module, an energy level regulation and control module, a matching gradient extraction module, a dynamic test execution module and a calibration path switching module. According to the method, three-dimensional state coordinates are constructed through frequency injection response, and density classification labels are established by taking frequency block division as units, so that frequency domain state evolution has a visual identification basis, and then signal combination screening is performed through a minimum difference value and a maximum change rate of response fluctuation amplitude and phase deviation dynamic states. Adaptation of excitation granularity and energy levels of different frequency bands is completed, the problem of insufficient resolving power in previous frequency domain response adjustment is solved, step-by-step tuning of a microstructure device is executed in combination with judgment of a path frequency stepping direction and a response gradient direction after signal parameter matching, continuous acquisition of response parameters is ensured, and the accuracy of frequency domain response adjustment is improved. And path offset caused by misjudgment of the tuning direction is avoided.

The invention relates to the technical field of electromagnetic directional valve control, and discloses an electromagnetic directional valve remote control system and a data processing method, and the system comprises a control instruction receiving and analyzing module, a dynamic response parameter determining module, a state data collecting and uploading module, a state data analyzing module and a control signal executing module. The method comprises the following steps: receiving a remote terminal reversing control instruction, and analyzing the instruction into adjustment parameters such as action times, switching directions and pressure thresholds; determining dynamic response parameters of a control node based on the parameters, executing adjustment, and collecting state data such as current and magnetic flux; uploading the data to an edge calculation unit, and generating a pulse width modulation correction value of the first control node through data fusion, frequency domain correlation analysis, wavelet domain dynamic compensation aggregation and other processing; and the parameters are transmitted to the fuzzy controller to calibrate the driving circuit parameters. The method improves the remote control precision and stability, and is suitable for industrial automatic intelligent control.

In one example, a system can input a first system prompt to a large language model (LLM). The first system prompt includes a first set of response parameters. The LLM can enter a first functional state based on receiving the first system prompt. While in the first functional state, the LLM can be used to engage in an interaction with a user to thereby generate interaction content. The system can then determine that a condition is satisfied based on the interaction content and, in response, input a second system prompt to the LLM. The second system prompt includes a second set of response parameters that is different from the first set of response parameters. The LLM can enter a second functional state based on receiving the second system prompt. While in the second functional state, the LLM can be used to continue the interaction with the user.

The invention discloses a fault diagnosis system and method for a regulating valve, and the system comprises a power detection module which is used for obtaining a power parameter of a driving execution mechanism; the valve position feedback module is used for acquiring execution parameters of the execution structure for driving the regulating valve; the instruction acquisition module is used for acquiring a control instruction of a control end and diagnosing a test instruction; the diagnosis test instruction is used for the valve positioner to execute setting operation; the setting module is used for acquiring a diagnosis test instruction and executing setting operation, and acquiring behavior parameters in the setting operation process to generate fault mapping for diagnosis; and the analysis module is used for acquiring response parameters generated by responding to the control instruction during actual operation, and obtaining fault information based on fault mapping comparative analysis.

The embodiment of the invention discloses an interface verification method and device, equipment and a program product. The interface verification method comprises the steps of obtaining an interface request parameter of a to-be-verified interface and an interface response parameter output after the to-be-verified interface processes the interface request parameter; the interface request parameters are input into an interface verification model obtained through pre-training, expected response parameters are output through the interface verification model, and the interface verification model is obtained through training on the basis of sample data sets covering different service scenes and different types of interfaces; and the verification result of the to-be-verified interface is determined based on the difference between the interface response parameter and the expected response parameter, so that intelligent verification of the interface can be realized, and the interface verification efficiency and the accuracy of the interface verification result can be improved.

The invention relates to the related technical field of data analysis and processing, in particular to a call data intelligent analysis and processing method and system based on voice recognition, and the method comprises the steps: carrying out the multi-head self-attention mechanism coding learning of a semantic feature standardization vector and an interruption feature standardization vector, and inputting an encoding learning result into a decoder connected with the encoder, and carrying out feedback processing on response parameters of the call voice data according to the plurality of call processing duration parameters. The technical problems that long-distance dependence and multi-granularity rhythm changes in interaction cannot be effectively captured, so that decoded call processing duration parameters are not accurate, and effective feedback regulation and control are difficult to implement on response parameters are solved, the long-distance dependence and multi-granularity rhythm changes in interaction are captured, and the long-distance dependence and multi-granularity rhythm changes in interaction are combined with a gating attention mechanism, so that the call processing duration parameters are accurately decoded. A plurality of call processing duration parameters are accurately decoded through a Transform encoder-decoder structure, response parameters are dynamically adjusted, and the technical effect of intelligent closed-loop feedback control over the call service process is achieved.

The invention discloses an isolated VCSEL (Vertical Cavity Surface Emitting Laser) detection method and related equipment, and the method comprises the steps: carrying out the capacitance distribution and conductivity characteristic measurement of an isolation region of a to-be-detected laser under different frequencies, and obtaining an electrical characteristic data set of the isolation region; performing dynamic response parameter measurement on the thermoelectric coupling characteristic of the isolation area according to the electrical characteristic data set to obtain a multi-mode competitive electrothermal coupling characteristic spectrum; performing high-frequency electrical response characteristic measurement on the laser to be measured based on the data, and constructing a modal electrical fingerprint database; setting a multi-parameter triggering condition by using the fingerprint database, and performing electrical transient data capture and multi-time scale analysis to obtain a multi-scale abnormal characteristic spectrum; and determining electric field distribution regulation and control parameters according to the abnormal characteristic spectrum, constructing a risk distribution diagram, and realizing modal competition risk assessment. According to the technical scheme of the invention, the multi-modal competition behavior of the VCSEL is represented from the electrical perspective, and the accurate analysis of the electric parameter fluctuation and internal modal competition relationship of the device under the complex working condition is realized.

The invention discloses a Bayesian network-based cold region tunnel vulnerability dynamic evaluation method and system, and belongs to the technical field of tunnel engineering. According to the method, meteorological data of a cold region is collected, and a tunnel full-life-cycle database is constructed in combination with multi-working-condition numerical simulation and an ANN agent model; calculating vulnerability grades under different working conditions based on a damage index grading system and a vulnerability model; a three-layer dynamic Bayesian network model (environmental factors, response parameters and vulnerability levels) is established, actually measured data are fused, and network parameters are dynamically updated by adopting an MCMC method. The problems that cold region tunnel data are missing and traditional evaluation is high in subjectivity are solved, full-life-cycle vulnerability dynamic accurate evaluation is achieved, and decision support is provided for tunnel healthy service.

The invention discloses a real-time focusing compensation method and system for femtosecond laser curved surface machining, and particularly relates to the technical field of light beam focusing control in femtosecond laser precision machining. The method is used for solving the technical problem of focus space-time deviation during high-speed curved surface machining caused by mismatching of dynamic response characteristics of an existing galvanometer and a dynamic focusing system. Pre-judging a response asynchronous risk by acquiring system response parameters and combining geometric and dynamic characteristics of a processing track, and identifying a dominant lag type; determining an error contribution distribution relation between the two systems according to the lag type; resolving to obtain a space trajectory error component which should be borne by the dynamic focusing system; and finally, controlling the laser to delay light emission according to the component until the dynamic focusing system is adjusted in place. Accurate diagnosis and quantitative compensation of a focus lag root are realized, and the focus position precision and the process reliability of femtosecond laser processing of a complex curved surface are effectively improved.

The invention relates to the technical field of agricultural greenhouse intelligent management, and discloses an agricultural greenhouse full life cycle data driven fine operation and maintenance management system comprising the following steps: respectively defining illumination intensity and air humidity as a driving parameter and a response parameter, and collecting time sequence data of the driving parameter and the response parameter; a driving-response loss degree index is determined by calculating the time-delay cross correlation of the characteristic waveforms of the two, and system vitality early warning is generated based on the evolution trend of the index. According to the method, a traditional steady state monitoring mode is broken through, non-intrusive evaluation of the crop physiological state is achieved by analyzing the dynamic response relation among the environmental parameters, system function decline can be pre-judged when the environmental parameters are not abnormal, and a brand new decision dimension is provided for precise agricultural management.

The embodiment of the invention provides a hinge-free arch bridge parameter optimization method, device and equipment. The method comprises the following steps: calculating mechanical response parameters of a target hinge-free arch structure by adopting an angular displacement method; constructing an objective function based on the mechanical response parameters and the obtained optimization indexes, wherein the objective function comprises a plurality of to-be-optimized design parameters of the unhinged arch structure; initial design parameters of the unhinged arch structure are determined; and performing iterative calculation on the initial design parameters and the target function based on an optimization algorithm to obtain optimized design parameters. According to the parameter optimization method for the hinged arch bridge provided by the embodiment of the invention, the design parameters of the hinged arch structure can be automatically optimized on the basis of a simple and rapid method, so that the optimal design parameters are obtained.

This invention discloses a method, apparatus, device, storage medium, and program product for extracting interface changes. The method includes: acquiring merged request (PR) data corresponding to the target interface within a first specified time period; extracting features from the PR data to obtain a first PR feature; performing a structured conversion of the first PR feature according to a pre-set Markdown format specification to obtain a Markdown document, wherein the Markdown document includes original and target values ​​of basic interface information, original and target values ​​of request parameters, original and target values ​​of response parameters, and original and target values ​​of interface logic; validating the Markdown document, and if the validation passes, sending the Markdown document to a terminal device for display. Therefore, this embodiment can automatically extract interface change information, improving extraction efficiency.

The invention discloses a coordinated operation method and device of distributed regulation equipment, a medium and electronic equipment. The method relates to the technical field of distributed regulation resource coordinated operation, and comprises the following steps: constructing resource regulation models of different types of distributed regulation equipment; based on the response parameters of the distributed adjustment equipment, the resource adjustment model corresponding to the distributed adjustment equipment is adopted for calculation processing, and a residual energy feasible region which corresponds to the distributed adjustment equipment and meets a preset constraint condition is obtained; performing aggregation processing on each residual energy feasible region by adopting a maximum internal approximate aggregation method to obtain the Minkowski sum of the plurality of distributed adjusting devices; and when the Minkowski sum is greater than or equal to the scheduling target, decomposing a coordinated operation command issued by the regulation and control center to obtain sub-operation commands for controlling the distributed regulation devices to perform resource regulation, and the method can improve the stability and safety of coordinated operation of the distributed regulation devices.

This invention discloses a bridge-tunnel co-construction method based on adaptive construction parameters, specifically relating to the field of bridge-tunnel collaborative construction technology. It collects disturbance response parameters such as foundation settlement rate, pile foundation lateral displacement, and tunnel arch convergence rate to form a set of construction disturbance parameters. This set is input into a structural coupling identification model to extract the pile-arch relative stiffness ratio, pile end support reaction difference, and tunnel deformation anomaly values, constructing a structural coupling state feature vector. Based on this, an optimal construction sequence combination strategy is matched to implement bridge-tunnel coupled construction. During construction, the disturbance response parameters are updated in real time, compared with historical curves, and the disturbance offset is calculated. When the offset exceeds a preset tolerance threshold, iterative updates of features and strategies are automatically triggered until the disturbance stabilizes. This method enables dynamic adjustment of construction sequences and structural collaborative control of bridge-tunnel connection sections, significantly improving the adaptability, safety, and construction efficiency of bridge-tunnel co-construction projects under complex geological conditions.

Described herein is a method for providing personalised stimulation to a user during a sleep period comprising the steps of: receiving one or more signals indicative of the user's sleep activity during a sleep period, extracting one or more features of the one or more signals, determining a stimulation response including determining whether to vary one or more stimulation response parameters based on the extracted one or more features of the one or more signals, and delivering a stimulation response to the user based on the determined stimulation response including varying the stimulation response by varying one or more stimulation response parameters.

The present invention discloses a Marshall compaction method, manufacturing method, system, device and medium for asphalt mixture. The compaction method includes: obtaining dynamic response parameters of the asphalt mixture during Marshall compaction; the dynamic response parameters are used to characterize the internal state of the asphalt mixture corresponding to the number of compaction times; determining whether the degree of change of the dynamic response parameters is stable; if so, determining the compaction number corresponding to when the degree of change of the dynamic response parameters reaches stability as the target compaction number. The compaction method, by obtaining the dynamic response parameters of the asphalt mixture and determining the target compaction number when the degree of change of the dynamic response parameters reaches stability, automatically and intelligently determines the compaction number, and the degree of change of the dynamic response parameters directly reflects the compaction state inside the asphalt mixture, thereby improving the accuracy of determining the compaction number and avoiding the crushing of coarse aggregates caused by overcompaction or the porosity not meeting the requirements caused by undercompaction.