47results about How to "Implement fixes" patented technology

The invention provides a 110V transformer winding insulation resistance absorption ratio detection method, which belongs to the technical field of transformer windings, and is characterized in that transformer operation state parameters and environmental influence factors are acquired through a multi-channel synchronous acquisition system, and thermodynamic and electrical models are established. The research adopts methods of principal component analysis, numerical integration and the like, an insulation resistance change rule is analyzed under a standard test voltage, a weight coefficient matrix is constructed in combination with an operation state and an environmental factor, a measured value is corrected through multiple linear regression and a correction coefficient method, and finally, the insulation resistance is obtained through statistical average and standard deviation analysis. The accurate evaluation of the insulation resistance absorption ratio of the transformer winding is realized; according to the method, the influence of the complex working environment and the operation state of the transformer on the insulation performance is fully considered, and the problem that various complex factors in the operation process of the transformer cannot be comprehensively considered and compensated in the prior art is solved by adopting the means of mathematical modeling, data correction, statistical analysis and the like; therefore, the technical problem of large deviation of the measurement result is solved.

The invention provides a battery capacity correction method suitable for an intermittent data loss scene, and relates to the application field of a battery technology. The method comprises the following steps: in a mode based on intermittent data loss, marking a capacity actually corresponding to a unit SOC change in a discharge process as an actual denominator, clustering the actual denominator, obtaining a theoretical capacity corresponding to the unit SOC change, and marking the theoretical capacity as a standard denominator; according to the method, a difference value between a standard denominator and an actual denominator is utilized to carry out capacity compensation on a current data loss position, and only one of data loss positions of the same SOC is selected for compensation, so that a corrected ampere-hour integral capacity value is obtained. According to the method, the influence of data loss on the ampere-hour integral capacity value is greatly overcome, the universality and accuracy of the battery diagnosis technology in a data loss scene are improved, the feasibility of data loss vehicle diagnosis early warning is guaranteed, and a guarantee is provided for the safety of a new energy vehicle.

The invention relates to a polarization / inertial navigation integrated navigation method of an embedded unmanned aerial vehicle kinetic model, which comprises the following steps of: expanding a three-dimensional attitude error angle, a speed error, a position error, an angular speed error and a thrust coefficient error of the unmanned aerial vehicle kinetic model into inertial navigation state parameters as state quantities to form system state quantities; establishing a system state equation; taking the course angle calculated by the polarization sensor and the attitude, the speed and the position of the unmanned aerial vehicle kinetic model as quantity measurement, and establishing a system measurement equation; establishing a credibility discrimination function of polarization course measurement based on course angle innovation, and designing a combined navigation mode switching and thrust coefficient error feedback strategy; a Kalman filtering method is used for estimating system state quantities, namely an inertial navigation attitude misalignment angle, a speed error and a position error, and an attitude error angle, a speed error, a position error and a thrust coefficient error of an unmanned aerial vehicle dynamic model, so that correction of the attitude and the position of the unmanned aerial vehicle is realized.

The invention relates to a high-temporal-spatial-resolution weather radar beam propagation path inversion method, which belongs to the field of radar detection, and designs a more accurate temporal-spatial matching strategy by taking meteorological element data output by WRF as a background field and combining high-frequency radio sounding data. A neural network model capable of fully mining local and global spatial features of data is constructed, a long-time and short-time feature extraction and fusion model is constructed, efficient and accurate extraction of time and spatial features of different scales of meteorological elements is realized, an input data set time and spatial complexity calculation method is further designed, and the calculation efficiency is improved. The adaptive optimization selection of the convolution kernel is realized, the real-time performance of outputting high-temporal-spatial-resolution meteorological data based on the 3D temporal-spatial convolution model is greatly improved, the atmospheric refractive index model and the electromagnetic wave propagation path calculation model are introduced, and the inversion of the high-temporal-spatial-resolution and accurate weather radar beam propagation path is realized.

The invention discloses an electromagnetic wire self-adhesion performance data acquisition and intelligent analysis method, and relates to the technical field of data analysis. Multi-source data such as turn-to-turn gap, paint layer residual thickness, tension fluctuation and conduction state are synchronously acquired in the winding process; and analysis mechanisms such as a gap reduction rate, paint layer thinning distribution, a synchronous evolution track and a gap strength response curve are introduced, so that continuous modeling and quantitative characterization of the autohension performance evolution process are realized. Compared with the prior art which only depends on a single gap threshold value or a post mechanical test to judge the bonding performance, the method can be started from a complete physical chain from gap change to paint layer extrusion to metal contact to bonding failure, and the change trend of the bonding performance under different gap levels can be accurately revealed; and tension output is corrected in real time through a self-adaptive algorithm, closed-loop optimization of the bonding quality is achieved, and the product percent of pass and the production efficiency are improved.

The invention belongs to the field of structural health monitoring and data processing, and aims to solve the problem that manual intervention is always needed in the aspects of abnormal segment detection and elimination in traditional data restoration. The invention provides a deep learning method for structural health monitoring acceleration data restoration, and the method comprises a structural health monitoring acceleration abnormal data set simulation method and a deep learning method for health monitoring abnormal data restoration. Wherein the structural health monitoring acceleration abnormal data simulation method is used for manually adding various types of abnormal signals and making a data set of a deep learning model, and the health monitoring abnormal data restoration deep learning method is used for restoring various types of actually measured abnormal data into normal data. According to the invention, various types of abnormal features of the health monitoring acceleration data can be learned, the data directly collected by the acceleration sensor is used as the input of the network, and the repaired data is directly output without manual intervention in the use stage.

The invention discloses a bearing anomaly detection method and system, and the method comprises the following steps: obtaining the historical operation data of a current motion sequence of a bearing, and constructing a first parameter trend model based on the historical operation data of the current motion sequence of the bearing; acquiring historical operation data corresponding to the bearing attitude, and constructing a second parameter trend model based on the historical operation data corresponding to the bearing attitude; acquiring first parameter prediction data according to the current time point, and acquiring second parameter prediction data according to the current bearing attitude; obtaining first difference data corresponding to the first parameter prediction data and second difference data corresponding to the second parameter prediction data; and judging whether the bearing is abnormal according to the first difference data and the second difference data. The method has the beneficial effects that the influence of space and time on the bearing operation condition can be shown through the operation data corresponding to the bearing posture change and the operation data corresponding to the bearing operation time change, and the situation that the bearing does not operate in the expected state is judged in time.

The invention relates to a photomask pattern correction method and device, electronic equipment, a storage medium and a program product. The method for correcting the photomask pattern comprises the steps that an original photomask pattern is obtained, the original photomask pattern comprises a target area, and the target area is an area influencing photomask limitation; the original photomask pattern is subjected to optical proximity effect correction, a corrected photomask pattern is obtained, and in the corrected photomask pattern, the target area is a blank area not including the pattern. According to the technical scheme, on the basis of eliminating photomask limitation and enabling the contour of the photomask pattern to converge, effective correction of the photomask pattern can be realized.

The application belongs to the technical field of microwave radar, and particularly relates to a microwave radar data missing value classification and interpolation method and system based on reinforcement learning. The method obtains microwave radar measurement data, determines the data source of the missing item based on the variation trend of the to-be-judged parameter, and then classifies the radar parameter data into an interpolatable item or an uninterpolatable item, and removes the uninterpolatable item. The effective data segments adjacent in time of the interpolatable item are divided into multiple sub-data segments, the pre-interpolation gap of each sub-data segment is calculated, and the time interval in the adjacent data area is matched to determine the fluctuation parameter, and the interpolation compensation value is calculated by combining a preset interpolation formula. The application avoids introducing false signals into the data set, ensures the physical meaning and logical rationality of the interpolation, and improves the overall quality and reliability of the repaired data set.

The application relates to a kind of automatic cutter setting method and system based on machine vision, belong to milling cutter setting technical field.The method first locates the initial position coordinate of milling cutter, and plans the initial cutter setting path of milling cutter in combination with target cutter setting position coordinate;Then the image of milling cutter in initial cutter setting path is acquired to carry out image denoising and image deblurring processing, after obtaining second image, carry out edge detection, extract the edge profile of milling cutter, and calculate the edge point subpixel coordinates of profile to carry out parameterized fitting, obtain current milling cutter position and milling cutter attitude;And the initial cutter setting path, the wear degree of milling cutter, current milling cutter position and milling cutter attitude are input into error prediction model, and the current motion error of milling cutter is predicted;According to the current motion error of milling cutter, the path compensation amount is calculated, and the cutter setting path of milling cutter is adjusted according to the compensation amount.The application can reduce the interference of milling cutter motion blur and environmental factors, realizes the quantitative adjustment and correction of milling cutter setting.

This invention relates to the field of book digitization and copyright management technology, and discloses a method and apparatus for intelligent recognition and structured information extraction of book copyright pages. The method includes: acquiring raw image data and performing preprocessing; locating multiple key regions using a target detection model; extracting text strings and recognition confidence scores using a sequence recognition model, executing a first feedback loop; if the recognition confidence is low or the semantics are incomplete, then performing adaptive adjustment of region coordinates; for text that passes the first loop verification, performing post-processing verification based on preset rules; if the post-processing verification fails, then activating a second feedback loop, locating potential erroneous characters and performing constrained re-recognition to correct character-level recognition errors; finally, integrating and storing the corrected text that passes all verifications. This invention significantly improves the accuracy, robustness, and automation level of information extraction by setting up dual dynamic correction loops for different error types.

The invention belongs to the technical field of monitoring systems, and particularly relates to a measuring and monitoring system for high-speed construction, which comprises a walking module, and a three-dimensional scanning module, a vehicle pose monitoring module and a control module which are arranged on the walking module, the walking module, the three-dimensional scanning module and the pose monitoring module are electrically connected with the control module and controlled by the control module, and pose changes of a vehicle provided with a three-dimensional laser scanner are monitored through the pose monitoring module and transmitted to a compensation unit of the control module. And the compensation unit processes the pose change data and performs geometric transformation, so that correction of the point cloud data uploaded by the three-dimensional laser scanner is realized, point cloud data deviation caused by vehicle pose change can be effectively eliminated, and subsequent monitoring of the flatness of the asphalt pavement in construction according to the point cloud data is improved.

The present invention discloses a battery pack information acquisition system based on terminal control; the system comprises a main control module, the main control module is electrically connected to a data processing module, the data processing module is electrically connected to a BMS management system and a communication module, the BMS management system is electrically connected to a battery module, the main control module is electrically connected to an electric power device, and the communication module is communicatively connected to a remote terminal module. The present invention manages and controls the battery module through the BMS management system, and then calculates and processes the data information through the data processing module, calculates and processes the power supply mode of the battery module through a greedy algorithm to achieve a balanced and stable power supply mode, and evaluates the power supply mode through a neural network algorithm to prevent calculation errors. Finally, when errors occur in the data information, the data information is corrected and eliminated to improve the accuracy and validity of the data.

The application discloses a kind of barometric altitude dynamic correction method based on airborne data.First, the sliding window parameters are screened using recursive feature elimination method, and then the sliding window is initialized and updated;Clean the sliding window data, first determine whether the sliding window data is null, then correct;For the data fusion multiple methods to detect outliers and correct after completing null judgment and correction;Construct the LSTM model and optimize the sliding window size, select the window size of the best performance indicator, use the LSTM model to correct the barometric altitude dynamically.This method has the characteristics of high precision, strong real-time, etc., improves the deficiency that the existing method can only correct the barometric altitude at a specific location, realizes the dynamic correction of barometric altitude in the whole approach process, improves the obstacle safety under low temperature conditions, at the same time, has the ability to correct the barometric altitude under high temperature conditions, and can be widely used in flight operation using barometric vertical navigation program.

The present application relates to medical image processing technology, disclose a kind of for rib segmentation post-processing method and system, its method includes: for rib image is carried out segmentation processing, obtain segmented rib image;To the rib image after processing is post-processed, obtain the segmented rib image after processing, by the extraction of skeleton to segmented rib image;Through the skeleton length statistics of rib of the skeleton extracted, and based on the skeleton length of statistics carries out the determination of rib connection;For the result of rib connection is through the construction energy function, carries out the correction of rib connection.The present application uses statistics and constructs energy function, locates connected rib and matches the same rib spine end and thoracic end, realizes the correction of connected rib.

The invention discloses a generator-transformer unit intelligent fault diagnosis and tripping control method, system and device based on double microcomputer protection and a storage medium, and relates to the technical field of generator-transformer unit microcomputer protection and intelligent control. Constructing a multi-dimensional non-electric quantity sensing system based on the standardized electric quantity data, performing synchronous alignment and logic fusion on electric quantity and non-electric quantity signals by using a communication model, and outputting a state data set; the method comprises the following steps: performing intelligent fault identification and self-adaptive criterion generation, determining fault types, ranges and confidence coefficients, calling the self-adaptive criterion to establish hierarchical tripping and delay control logic, mapping fault levels into quick-break, delay and trend three-level action channels, and performing multi-source criterion collaboration and shunt output control through an arbitration mechanism among double devices. According to the method, the threshold value and the time delay can be dynamically adjusted according to different operation conditions, and accurate judgment of the fault type, the fault range and the confidence coefficient is achieved.

The utility model discloses a solar tracking dolly based on composite transmission, comprising a dolly body and a dolly housing, the dolly housing is provided with a solar panel, when the dolly is under the condition of sufficient illumination, the solar panel converts light energy into electric energy and stores the electric energy in a capacitor bank; after being electrified, the trolley starts from the departure position determined by the positioning tail wing and runs according to a specified route, a motor is arranged in the trolley body, and a transmission structure is further installed in the trolley body. The transmission structure comprises a fixed shaft mounted on the lower surface of the vehicle body, a driven shaft mounted in the vehicle body, a one-way bearing mounted on the driven shaft, a gear transmission mechanism between a motor output shaft and the driven shaft, and a belt wheel transmission mechanism between the driven shaft and the fixed shaft; gear transmission, belt wheel transmission and cam transmission are combined together, the cam is directly driven by the first driven flange synchronizing wheel on the driven shaft, the left wheel is completely driven by means of inertia, the energy utilization rate of the trolley is further increased, and the continuous operation time of the trolley is further prolonged.

The present application provides a kind of sedimentation tank sludge quantity prediction system and method, it is related to sedimentation tank sludge control technical field, comprising: for each sedimentation period of sedimentation tank, at least one group of historical water inlet parameters and corresponding historical sludge-water interface height in non-sludge discharge period are obtained respectively, and total actual sludge production after sludge discharge period ends and corresponding total sludge-water interface height;According to each historical sludge-water interface height, total actual sludge production and total sludge-water interface height, the real-time actual sludge production corresponding to historical water inlet parameters is obtained by processing;Real-time water inlet parameters are obtained as input, and the sludge quantity prediction model corresponding to the real-time actual sludge production as output is trained;A group of real-time water inlet parameters of sedimentation tank in non-sludge discharge period is obtained, and real-time water inlet parameters are input into sludge quantity prediction model, to obtain the sludge quantity prediction result of sedimentation tank.The beneficial effect is that the real-time sludge production of sedimentation tank can be effectively predicted;Self-adaptive training and correction of sludge quantity prediction model can be realized.

This application relates to a flow measurement method, apparatus, computer equipment, storage medium, and computer program product. The method includes: when the error of the flow measurement result exceeds the allowable error range, adjusting the flow measurement pipeline to a first state where it is filled with liquid and the liquid is stationary; performing zero-point calibration on the flow measurement parameters based on the first state to obtain zero-point calibration parameters, so that the flow velocity measurement result obtained based on the zero-point calibration parameters in the first state is zero; adjusting the flow pipeline to a second state where it is filled with liquid and the liquid is flowing, and obtaining the instantaneous flow velocity measurement result in the second state; obtaining the full-scale coefficient in the flow measurement parameters, and obtaining a corrected full-scale coefficient based on the instantaneous flow velocity measurement result and the cumulative flow of the liquid during the sampling period; and measuring the flow rate of the liquid in the pipeline based on the corrected full-scale coefficient and the zero-point calibration parameters to obtain the measurement result. This method can achieve accurate measurement of the flow rate of fluid in a pipeline.

The invention relates to a conducting strip pressing force control method suitable for an automobile connector and a related device, and the method comprises the steps: obtaining motor current data and motor position data, generating a first force estimation value and a second force estimation value through a first calculation path and a second calculation path, calculating the instantaneous deviation of the first force estimation value and the second force estimation value in real time, and transmitting the instantaneous deviation into a fast feedback loop and a slow feedback loop; the fast feedback loop generates a short-term correction value to dynamically compensate the first force estimation value; the slow feedback loop accumulates the instantaneous deviation to generate a long-term drift distance, and when the long-term drift distance meets a preset aging judgment condition, self-adaptive updating of a reference force-displacement model or a first calculation path is triggered; and outputting the dynamically compensated first force estimation value as a final pressing force control instruction. According to the invention, while high-resolution dynamic response is realized, short-term drift can be corrected through a stable reference, and the reference has self-adaptive capability so as to compensate long-term drift caused by equipment aging.

The application discloses a manned-unmanned aircraft cooperative operation formation collision avoidance control method, and belongs to the technical field of aircraft cooperative control; the method adopts a hierarchical architecture separating performance layer and safety layer: the performance layer generates nominal instructions for tracking operation slots by model predictive control; the safety layer filters threats in real time based on collision cones, and converts collision avoidance conditions into linear inequality constraints about unmanned aircraft acceleration by using control barrier functions. By setting hierarchical safety parameters for unmanned aircraft-manned aircraft interaction and unmanned aircraft-unmanned aircraft interaction, and imposing hard constraints on the former and soft constraints that can be relaxed on the latter in solving, the absolute safety priority of manned aircraft is ensured. The application realizes effective decoupling of high-performance formation tracking and real-time autonomous collision avoidance, improves the real-time performance and reliability of the system while ensuring safety, and is suitable for large-scale cooperative operation tasks.

The present invention relates to the field of image processing technology, and in particular to a titanium mesh intelligent positioning method, device, equipment and storage medium. The method comprises the following steps: obtaining a multi-directional image of the oral cavity; extracting oral cavity optical flow feature points based on the multi-directional image of the oral cavity; performing super-resolution fine structure restoration processing on the multi-directional image of the oral cavity based on the oral cavity optical flow feature points to construct a super-resolution oral cavity image; performing feature point spatial matching on the multi-directional image of the oral cavity based on the oral cavity optical flow feature points, thereby obtaining feature point spatial position data; performing point cloud contour standardization processing on the super-resolution oral cavity image to obtain a tooth socket point cloud contour map; performing three-dimensional structural reconstruction of the tooth socket point cloud contour map through the feature point spatial position data to construct a three-dimensional point cloud model of the oral tooth socket; and obtaining an oral titanium mesh image based on a preset database. The present invention realizes accurate titanium mesh positioning.

The invention relates to the technical field of electronic data processing, in particular to a multi-task real-time operating system scheduling optimization method for a PPEC controller. The method comprises the following steps: constructing a physical time snapshot of interrupt response by using a hardware timer and a direct memory access unit, and collecting entry and exit moments when a rigid control task is interrupted by a non-control task; calculating time debt based on the interruption physical duration, constructing a space-time mapping model in combination with the power grid reference angular frequency, and converting the time debt into a phase lag angle of a voltage space vector; and comparing the time debt with an atomic operation time threshold value, dynamically switching to a compression mode or a fusing mode according to the time debt and the atomic operation time threshold value, and executing task scheduling according to the selected mode. According to the method, the time drift is mapped into the vector phase error of the physical layer, so that the problems of waveform distortion and control divergence caused by sudden interruption are solved, and the physical synchronization of control is ensured.

The utility model discloses a crane trolley with a stroke calibration function, which belongs to the technical field of cranes and comprises a traveling mechanism and two track assemblies, the two track assemblies are arranged on the upper portions of two sides of a working space along the front-back direction, and rollers are arranged at two ends of the traveling mechanism. And rollers at two ends of the walking mechanism are respectively matched with the corresponding track assemblies. During normal use, when the crane trolley moves back and forth through the walking mechanism and passes through the feedback assembly, the position sensor on the walking mechanism generates a position signal A under the feedback of the feedback assembly, and the position signal A is input into the central processing unit; the central processing unit compares the position signal A with an instantaneous position signal B of the crane trolley generated by the absolute value encoder, and corrects the position signal B to be consistent with the position signal A; the position of the crane trolley is repeatedly calibrated in the working process, and the problem that the position signal B has an error due to the fact that the rollers slip is avoided.

The present disclosure provides a method and device for correcting the wind speed error of a variable integral wind laser radar in multiple sea conditions, which can be applied to the field of laser radar technology. The method for correcting the wind speed error of the variable integral wind laser radar in multiple sea conditions includes: obtaining the attitude data of the wind laser radar and the signal-to-noise ratio of the echo signal; minimizing the relative error value between the simulation information of the degree of freedom coordinate value and the measurement information of the degree of freedom coordinate value to obtain the correction information of the degree of freedom coordinate value; determining the target pulse accumulation number from the pulse accumulation number query table based on the signal-to-noise ratio and the buoy amplitude; accumulating the initial pulse power spectrum based on the target pulse accumulation number to obtain the target pulse power spectrum; obtaining the corrected radial wind speed based on the center frequency corresponding to the maximum power density in the target pulse power spectrum and the correction information of the degree of freedom coordinate value; inverting based on the corrected radial wind speed to obtain the target wind speed vector.

The present invention discloses a new type of laboratory remote monitoring and operation maintenance management system based on the Internet of Things, which belongs to the field of laboratory monitoring and control technology. It is equipped with a parameter acquisition module, a control device, a parameter prediction module, an adjustment analysis module, and a PID controller. The parameter prediction module uses a trained cyclic network model to predict the subsequent change curve of the reference value of the controlled parameter in the laboratory based on the reference value curve of the current controlled parameter; the adjustment analysis module sets and corrects the reference period T1, and calculates the reference value of the controlled parameter at the time point t0+T1 as the final reference value based on the subsequent change curve of the predicted controlled parameter reference value. In the present invention, by calculating the deviation rate of the numerical curve of the controlled parameter value under different reference periods T1 and the subsequent change curve of the controlled parameter reference value, the reference period T1 with the highest accuracy is screened out as the final reference period value, thereby improving the monitoring and control accuracy of the controlled parameters of the internal environment of the laboratory.

The present application relates to a kind of transformer insulating oil photoacoustic spectrum online monitoring system, belong to power equipment condition monitoring and fault diagnosis technical field.The system includes oil-gas separation unit, photoacoustic spectrum detection unit, signal acquisition and preprocessing unit, feature extraction unit, intelligent diagnosis and early warning unit, temperature compensation unit, pressure compensation unit, data storage and management unit and remote communication and display unit.Feature extraction unit extracts gas concentration, change rate, component ratio and spectral waveform etc multidimensional features;Intelligent diagnosis and early warning unit is built in graph neural network fault diagnosis model and time series trend prediction model, realizes fault identification and risk early warning;System also constructs the linkage closed loop of diagnosis result drive oil-gas separation parameter and detection parameter dynamic adjustment, and combines temperature pressure adaptive compensation.Realize the high-precision online monitoring and intelligent diagnosis of dissolved gas in transformer oil, significantly improve the accuracy of fault identification and the timeliness of early warning.

The application discloses a water supply plant water supply amount prediction model training method and device, and particularly relates to the field of water supply amount prediction, and comprises constructing a main channel data set, wherein the main channel data set comprises time characteristics, meteorological characteristics, working condition characteristics, hydraulic internal characteristics and hydraulic external characteristics; a shadow twin data set is synchronously constructed, the shadow twin data set is generated according to a hydraulics balance equation and historical stable data, and is aligned with the main channel data on the same time axis; correlation screening is performed on the main channel data, and features with a correlation coefficient lower than a preset threshold value are deleted. Through the construction of the double-channel structure of the main channel data set and the shadow twin data set in the training process, and the combination of the global offset index checking and the cyclic mechanism of the recursive feature elimination, the identification and correction of the overall error caused by the multi-sensor linkage offset are realized.

The present invention provides a method and device for automatic correction of data migration in heterogeneous databases, the method comprising: acquiring source data of a source database and target data of a target database from which the source data is migrated; performing data comparison between the source data and the corresponding target data to determine whether there is an abnormality in the target data obtained by migrating the source data to the target database; if there is an abnormality, correcting the target data. The present invention can automatically acquire and correct data in the migration process, improve the accuracy of data migration, and effectively reduce the program development cost during data migration correction.

The invention discloses a test optimization method for a shimmy damper, and the method comprises the steps: simulating the working state of the shimmy damper, and obtaining the test results of a damping performance test, a high-frequency fatigue test, a sealing performance test and a running-in test of the shimmy damper; and determining the linear stiffness in the X and Y directions and the torsional stiffness in the Z direction. All parameter variables influencing the performance of the shimmy damper are collected, corresponding test performance is obtained, and key parameter variables are determined based on the random forest model; and predicting the performance of the shimmy damper based on the key parameter variables, and obtaining an optimal key parameter combination through a genetic algorithm based on the error between the predicted performance of the shimmy damper and the actual test performance, the constraint condition and the optimization target. According to the method, performance prediction and correction of the shimmy damper at the beginning of design can be achieved, the design period is shortened, and good practicability is achieved.