103 results about "Vertical acceleration" patented technology

The invention discloses a bridge sensor self-optimization arrangement and state evaluation method based on a modal confidence criterion, and relates to the technical field of big data analysis and processing. The method comprises the following steps: step 1, acquiring a vertical acceleration time sequence at candidate installation coordinates of each sensor through preset vehicle excitation; 2, a physical information neural network is adopted to drive sparse damage reconstruction and sensor importance joint optimization algorithm to determine a bridge sensor self-optimization arrangement result; and step 3, installing a vertical acceleration sensor on the target bridge according to a bridge sensor self-optimization arrangement result, dividing bridge state grades according to a finite element unit damage estimation result, and outputting a bridge state evaluation result. The method can be continuously used in the bridge operation period, quantitative and traceable structure state evaluation results are provided, potential risks can be found in advance, and the reliability, practicability and intelligent level of bridge health monitoring are remarkably improved.

The invention provides a vehicle control method and a vehicle, and relates to the technical field of chassis control, and the method comprises the steps: obtaining the mass center vertical speed of the vehicle during the driving period of the vehicle; determining the wheel mass center vertical acceleration of each wheel according to the mass center vertical speed, the speed of the wheel moving in the vertical direction caused by the vehicle pitching motion corresponding to each wheel and the speed of the wheel moving in the vertical direction caused by the vehicle rolling motion; according to the mass center vertical speed and the wheel mass center vertical acceleration of each wheel, target action parameters of a suspension corresponding to each wheel are determined; and according to the target action parameters of the suspension corresponding to each wheel, the actual main power or the actual damping force output by the suspension corresponding to each wheel is controlled. According to the invention, the driving stability and riding comfort of the vehicle can be maintained during the driving period of the vehicle.

The invention relates to the technical field of automatic control, and discloses a suction force self-adaptive adjusting method based on a suction cup base, comprising the following steps: collecting current attitude disturbance information of to-be-adsorbed objects including a lamp, glass, a steel plate, a plastic box body and a wood material plate, the attitude disturbance information comprises a pitch angle, a roll angle, an angular velocity and a vertical acceleration; estimating the offset of the gravity center of the to-be-adsorbed object relative to the center of the sucker array based on the attitude disturbance information; according to the offset, target adsorption force of the object to be adsorbed is determined, and distribution is carried out according to a set load distribution weight; the invention further discloses a suction force self-adaptive adjusting system based on the suction cup base. The system comprises a posture sensing module; an offset calculation module; an adsorption force distribution module; and an adsorption control module. According to the invention, dynamic coordination and accurate tracking control of multi-sucker adsorption force are realized by fusing attitude sensing, adsorption modeling and nonlinear predictive control.

This invention belongs to the field of bridge quality inspection technology, specifically a method for evaluating the quality of box girders based on the MH wavelet average evolved power spectrum. The method includes: selecting a qualified standard beam, deploying vibration sensors to collect vertical acceleration time-history signals; preprocessing the signals by performing wavelet transform, calculating the squared modulus of the wavelet coefficients and normalizing them to obtain a three-dimensional evolved power spectrum, and then averaging the time dimension to obtain the average evolved power spectrum; extracting three characteristic parameters—frequency at maximum power, half-power bandwidth, and skewness—using the standard beam spectrum as a benchmark; repeating the above steps on the beam to be evaluated, comparing the deviations of the characteristic parameters, and combining a grading threshold and a differentiated review process to determine the quality, and statistically analyzing the batch data dispersion to provide feedback on the stability of the beam manufacturing process. This invention achieves non-destructive, batch, and accurate evaluation of box girder quality, and can effectively identify hidden defects such as insufficient elastic modulus of concrete and prestress loss.

The application relates to a bridge collapse identification method and system based on vehicle mobile terminal sensing data, and belongs to the technical field of bridge safety monitoring. The method comprises the following steps: in the case that a target vehicle is determined to be located on a bridge section based on relative positions, monitoring driving acceleration of the target vehicle according to IMU data of a vehicle mobile terminal; in the case that a mutation occurs in vertical acceleration in the driving acceleration of the target vehicle, judging whether the target vehicle appears a bridge falling state caused by bridge collapse based on the vertical acceleration and synthetic lateral acceleration; if the target vehicle appears the bridge falling state caused by bridge collapse, obtaining jerk of the vertical acceleration, and determining bridge falling time information of the target vehicle based on the jerk; and based on the bridge falling time information of the target vehicle and falling heights of multiple vehicles when falling off the bridge, adjusting the credibility of the bridge collapse based on the falling heights of the multiple vehicles when falling off the bridge, so as to improve the determination accuracy and credibility of the bridge collapse state.

The invention discloses a dynamic correction method, device and equipment for a contact network conductor height measurement error and a medium, and is applied to the field of precision measurement of geometric parameters of a contact network. According to the method, the three-dimensional distortion degree corresponding to the original pull-out value sequence is analyzed, the three-dimensional distortion degree, the vertical acceleration and the pitch angle rate jointly construct a height guide error-distortion degree time sequence correlation model related to the height guide error, then the original height guide sequence is compensated and corrected, and the correction effect is verified. The guide height error-distortion degree time sequence correlation model effectively utilizes the internal stability of a pull-out value, and accurate traceability and measurement of the guide height error are realized; the dynamic adaptive capacity of the model is enhanced through the three-dimensional distortion degree, so that the model can intelligently adapt to changes of complex working conditions, and the robustness and reliability under different line conditions are remarkably improved; according to the method provided by the invention, an acquisition-correction-correction verification closed loop is formed, and the credibility and the accuracy of the contact network detection system are improved.

The application discloses an elevator starting torque calculation method, comprising the following steps: estimating the load in the elevator car before the elevator car stops according to the torque current of the elevator hoist during the operation of the elevator car; obtaining the vertical acceleration data of the elevator car during the stopping of the elevator at the landing, extracting the characteristic value of the vertical acceleration data, and judging the number of passengers getting on and off the elevator car; estimating the load change value of the elevator car according to the number of passengers getting on and off the elevator car or the vertical acceleration; determining the load in the elevator car before the starting of the elevator car according to the load in the elevator car before the stopping and the load change value of the elevator car; and calculating the elevator starting torque according to the load in the elevator car before the starting of the elevator car. The application realizes the function of the weighing device in the elevator without the weighing device, optimizes the output of the starting torque, and enables the passengers to obtain a comfortable riding experience.

The application provides a speed bump energy absorption working condition recognition method and system, and relates to the technical field of intelligent transportation systems.The method collects vehicle weight, speed and vertical acceleration data in real time through a laser radar and a load cell, constructs a full-quantity feature data set, first calculates kinetic energy change and vertical impact energy, and after the cumulative energy reaches a threshold, stores the speed and acceleration data before and after the speed bump according to vehicle weight, performs Fourier transform on the acceleration data, extracts the low-frequency energy proportion, and constructs a quadratic regression model combined with the speed before and after the speed bump to predict the speed after passing through.The energy proportion abnormal threshold is set by statistical stratification of the mean and standard deviation of the energy proportion database, and when the low-frequency energy proportion of a new vehicle is lower than the energy proportion abnormal threshold and the speed prediction error is greater than or equal to 15%, it is determined that the energy absorption structure fails, and the dynamic monitoring and accurate diagnosis of the health state of the speed bump are realized.

The invention relates to a method for quickly acquiring ramp information and a vehicle running state, which is based on a first acceleration sensor parallel to the vehicle running direction and a second acceleration sensor perpendicular to the first acceleration sensor. Synchronously measuring to obtain a first acceleration component along the slope surface direction and a second acceleration component vertical to the slope surface direction; according to the projection relation between the second acceleration component and the gravitational acceleration in the direction perpendicular to the slope surface, the slope angle and the running acceleration of the current ramp are analyzed; and torque compensation control is conducted on a vehicle driving motor through the slope angle and the running acceleration. Aiming at the limitation of ramp detection of the existing GPS and gyroscope, a ramp information and vehicle running state acquisition system which is low in cost, high in real-time performance and adaptive to a whole scene is constructed by taking double vertical acceleration sensors as a basic core; the problems of slow ramp detection response, high cost, insufficient precision and load interference of the industrial vehicle in a closed and complex scene are effectively solved.

The present application relates to a kind of theoretical detection methods for determining local void of monolithic track bed, comprising the steps of: obtaining train-monolithic track bed-lining-ground coupling vibration equation according to the control equation of rail, monolithic track bed and lining and the dynamic balance equation of train, the vertical acceleration of car body is calculated using Newmark algorithm;The Hilbert-Huang transform spectrum of the vertical acceleration of car body is obtained;According to the energy change of the Hilbert-Huang transform spectrum of the imf2 decomposition curve under the void state, the position of the local void area of monolithic track bed is judged.The beneficial effects of the present application are: the position of the local void area of monolithic track bed can be judged according to the energy value change of the Hilbert-Huang transform spectrum of the vertical acceleration of car body imf2;Whether there is track bed void and the starting position of void can be judged, and the severity of void length can be qualitatively estimated according to the length of energy value change, which helps to reduce the operation and maintenance cost of subway track.

This application discloses a method and apparatus for acquiring wheel-center vertical input force under transient durability conditions of suspension. The method includes: constructing a suspension transient input force prediction model and a full-condition error compensation parameter library; acquiring wheel-end vertical acceleration parameters, suspension state parameters, and vehicle condition identification parameters; classifying conditions according to the wheel-end vertical acceleration parameters, suspension state parameters, and vehicle condition identification parameters to obtain the current transient condition; obtaining the current compensation parameters according to the full-condition error compensation parameter library; and obtaining the wheel-center vertical input force corresponding to the current transient condition through the suspension transient input force prediction model, based on the current transient condition, wheel-end vertical acceleration parameters, suspension state parameters, and current compensation parameters. This application can improve the accuracy of wheel-center vertical input force acquisition and can cover all high-frequency transient high-damage conditions, and can be widely used in the field of automotive testing technology.

A passenger restraint system for roller coasters designed to maintain a passenger in an essentially seated or lying posture, with suspended feet. The passenger restraint system includes a fixed column and a seat column designed to support and hold the passenger, which seat column is coupled to the fixed column so as to be displaceable with respect to the fixed column during a roller coaster ride. The seat column is coupled to the fixed column by an articulated linkage, and the passenger restraint system further includes a balancing device ensuring a balancing of the seat column, which balancing device is fixed, at a first end, to the fixed column and, at a second end, to the seat column. The balancing device can advantageously be configured to ensure a vertical travel of the seat column during the roller coaster ride in dependence of a vertical acceleration exerted on the passenger.

Embodiments of the present application provide a wind speed estimation method, device and aircraft. In the wind speed estimation method, flight data of the aircraft is obtained, and then a horizontal disturbance acceleration of the aircraft in a navigation coordinate system is obtained according to a vertical acceleration, a horizontal acceleration and an attitude angle of the aircraft in the navigation coordinate system in the flight data. Further, an air resistance of the aircraft in the horizontal direction is obtained according to a mass of the aircraft and the horizontal disturbance acceleration of the aircraft in the navigation coordinate system. Finally, the wind speed of the flight environment of the aircraft is obtained according to the air resistance and a speed of the aircraft relative to the navigation coordinate system, so that the wind speed of the flight environment of the aircraft can be estimated, the accuracy of the wind speed estimation is improved, and in the flight adaptation to different climate environments, only a few key parameters need to be adapted, so that the engineering practicability of the model is greatly improved.

The invention discloses a shock absorber control method, a shock absorber and a vehicle, and the shock absorber control method comprises the steps: when the vehicle bumps, obtaining the actual vertical acceleration of a piston rod in a measurement period; the actual vertical speed of the piston rod in one measurement period is obtained according to the actual vertical acceleration; the actual vertical speed is used as the real-time road surface excitation speed; and according to the real-time road surface excitation speed, the opening degree of the valve is adjusted till the damping force in the shock absorber reaches the preset damping force. Compared with the prior art, the opening degree of the valve in the shock absorber can be adjusted according to the relative displacement of the piston rod and the cylinder, so that the internal damping of the shock absorber is rapidly changed, the cost of road excitation detection is reduced, and the manufacturing cost of the whole vehicle is reduced.

The invention provides a steel rail corrugation identification method and device based on a neural network fusion model, and relates to the technical field of railway facility detection, and the method comprises the steps: collecting the vertical acceleration data of an axle box of a train; discrete processing is carried out through Fourier transform, low-frequency signals are filtered out, and time domain axle box acceleration data after trend filtering out are reduced through inverse Fourier transform; decomposing the time domain axle box acceleration data through a variational mode decomposition processing method to obtain multi-resolution intrinsic mode function components, and selecting a plurality of components with the highest signal energy ratio as input samples of the model; synchronously inputting the input sample into a convolutional neural network and a bidirectional long-short-term memory network, capturing local features through convolution operation, performing bidirectional time sequence data dependency capturing on axle box acceleration data in combination with a bidirectional mechanism, and combining the convolutional local features with time sequence features through a feature fusion layer of a neural network fusion model to obtain a time sequence data dependency relationship; and obtaining an identification result of the steel rail corrugation section.

This invention discloses an integrated method and system for hoisting, positioning, and welding of steel tower segments for bridges, relating to the field of bridge engineering construction technology. The method includes: setting multiple hoisting points on the steel tower segment; real-time acquisition of cable stiffness, vertical acceleration, and wind speed and direction; calculating the target command tension at each hoisting point and issuing it to the hydraulic system; after hoisting, acquiring the peak residual stress and the initial six-degree-of-freedom positioning error, encapsulating them into a first state transfer vector; using the first vector as input, iteratively adjusting the six-degree-of-freedom positioning mechanism; iterating until all degree-of-freedom errors converge to within the design tolerance; and finally, encapsulating the final positioning error and the current residual stress into a second state transfer vector; using the second vector as input, calculating an adaptive heat input for each weld pass, including bevel depth heat input adjustment, positioning error attenuation correction, and thermo-mechanical coordinated adjustment, acting on the reference heat input to drive the welding power source to perform welding pass by pass, from the bottom of the slope to the top.

The present application belongs to the technical field of traffic track detection, and particularly relates to a locomotive external track geometric position detection device and a detection method. The method comprises the following steps: real-time acquisition of the lateral acceleration and vertical acceleration of the vehicle and comparison with the corresponding preset threshold values, respectively, when any acceleration exceeds the threshold value, determination of excessive vibration interference; when the vibration interference is excessive, acquisition of the geometric appearance of the track, the distance information of the track relative to the vehicle, the position information of the vehicle and the motion state of the vehicle; based on the geometric appearance of the track, the distance information of the track relative to the vehicle, the position information of the vehicle and the motion state of the vehicle, real-time track gauge calculation, track horizontal calculation, track height calculation and triangular pit calculation of the vehicle are carried out to obtain the dynamic geometric position parameters of the track. The method realizes on-demand detection, avoids data redundancy, improves detection pertinence and resource utilization, and is suitable for accurate identification and normal operation and maintenance of track disease sections.

This invention discloses a method and system for evaluating the continuous compaction quality of roadbeds based on spatial heterogeneity characteristics. By time-aligning the vertical acceleration signal information of the vibratory roller and the three-dimensional spatial coordinate information of the compaction roller's center point, a compaction index is generated based on the vertical acceleration signal information of the vibratory roller. Based on the compaction index, the compaction surface is spatially gridded and a digital compaction field is constructed. The constructed digital compaction field is then quantified for multi-dimensional and multi-scale spatial heterogeneity to obtain multi-dimensional spatial heterogeneity indices for the compaction surface. Through multi-source data fusion and gridded reconstruction, discrete compaction measurement points are constructed into a continuous spatial digital field. This transforms the evaluation object from isolated numerical points into field data with spatial location and correlation, achieving a quantitative evaluation of the spatial distribution structure, variation characteristics, and continuity of compaction quality, ensuring that the evaluation results fully correspond to the actual spatial non-uniformity of the engineering entity.

The application discloses a flight path planning method and device, the method comprises the following steps: determining the type of the flight section by the current state information and the task route, so as to determine the end speed of the flight section; determining the current available acceleration according to the current working condition parameter, combining the current state information, the end speed of the flight section and the target horizontal speed to determine the horizontal acceleration instruction and the horizontal expected remaining flight time; taking the horizontal expected remaining flight time as a constraint, combining the current state information, the end speed of the flight section and the current available acceleration to determine the vertical acceleration instruction; and sending the horizontal acceleration instruction and the vertical acceleration instruction to the flight control system to control the flight of the unmanned aerial vehicle. The application aims to solve the problems of the flight precision and task continuity of the existing speed and trajectory control method of the automatic route flight of the unmanned aerial vehicle, and the difficulty in adapting to the complex dynamic environment. The smooth connection of the unmanned aerial vehicle among multiple flight sections is realized, and the flight safety is ensured.

This invention discloses a method for inspecting bulges on asphalt pavements. By adding an acceleration sensor to detect the vertical acceleration of the inspection vehicle, the height and volume of the bulge can be calculated by combining the measured value with parameters such as vehicle speed. The bulge level is determined by comparing it with a preset threshold, and then the maintenance method is determined. This invention can reduce costs, be used for routine inspections, and is not affected by climate.

This application relates to a method, apparatus, computer equipment, and medium for judging the performance degradation of magnetic levitation systems. The method includes: firstly, using the Symmetric Polar Coordinate (SDP) method, converting one-dimensional time-series data (3 sets of suspension gaps, 2 sets of vertical accelerations, and 1 set of electromagnet currents) into two-dimensional images, achieving interpretable fusion of multi-source parameters, reducing the false positive rate of single-data noise, and improving feature representation. Then, using a pre-trained Swin Transformer to extract multi-scale features from the images, mapping them, and then using a dual encoder to mine discriminative concept embeddings. Features are fused using a concept weight matrix, and a model is trained by combining fine-grained classification loss and dual-objective constraint loss. Real-time running data is converted into images using the same method, and the trained model is used for discrimination, solving the problems of limited receptive field and insensitivity to weak features in traditional models, significantly improving the accuracy of degradation recognition.

The application discloses a track geometry large value overrun monitoring method and device, and relates to the field of track geometry large value overrun monitoring.The method comprises the following steps: establishing a wheel-rail interaction model of an operation vehicle and a target track according to target track and operation vehicle design parameters; establishing a correlation between different speed levels of the operation vehicle and a vertical acceleration threshold value of a frame and a vertical displacement threshold value of the frame; determining a target vertical acceleration threshold value of the frame and a target vertical displacement threshold value of the frame at a speed level corresponding to a vehicle speed of a target operation vehicle of the target track; and issuing an alarm information of a track geometry large value overrun event of the target track when a target vertical acceleration of the frame of the operation vehicle is greater than or equal to the target vertical acceleration threshold value of the frame and a target vertical displacement of the frame of the operation vehicle is greater than or equal to the target vertical displacement threshold value of the frame.The application is used to improve the efficiency and accuracy of track geometry large value overrun monitoring.

The invention discloses a VNAV vertical deviation calculation method satisfying vertical side cutting, and the method comprises the steps: obtaining the position of an aircraft, the position of each waypoint of a flight plan, horizontal path data, vertical path data, the ground speed of the aircraft, and the air pressure altitude of the aircraft, and calculating the distance between the aircraft and the end point of the flight plan, and the vertical path segment of the aircraft; the method comprises the following steps: determining whether an aircraft is in a vertical path transition section, and when the aircraft is in the vertical path transition section, calculating a virtual vertical path transition path constructed at a constant vertical acceleration, and calculating the vertical deviation based on the path, so as to achieve the purpose of VNAV vertical deviation calculation meeting vertical side cutting. According to the method, engineering implementation is easy, the guiding target of the VNAV can be optimized into a vertical bypass path with the constant vertical acceleration in the vertical path transition section under the condition that the calculation load is small, and the flight quality and the comfort level of passengers are guaranteed while the vertical path is accurately tracked.

The application discloses a rail transit vehicle speed identification method based on multi-mode sensing fusion, and relates to the technical field of rail transit operation monitoring. The method comprises the following steps: a plurality of sensing nodes are arranged along the longitudinal direction of the steel rail at intervals, each sensing node is provided with an information acquisition component, and the vertical acceleration and angular velocity of the track bed are detected through the component; a preset threshold value is set for the information acquisition component, and the acquisition is triggered when the motion energy exceeds the threshold value within a short time; the collected data is subjected to high-pass filtering processing, the maximum speed of the train and the track bed inclination are obtained; within a single wheel passing period, the accurate time when the wheel reaches the monitoring point is determined according to the track bed inclination and the vertical angular velocity; the time interval of the first and last axles of the last compartment passing the sensing node is calculated, and then the speed of the vehicle is calculated. The application fuses sensing information of two different principles, forms a complementary checking mechanism, improves the speed measurement robustness, and overcomes the problems that single sensor speed measurement is easy to be disturbed and easy to drift and fail.

The invention relates to the technical field of hydrogen storage cylinder test detection, in particular to a temperature-controllable gas cylinder accelerated drop test device and method, and the device comprises a lifting platform and a gas cylinder telescopic rotary clamping tool. The gas cylinder telescopic rotary clamping tool and the lifting table are respectively used for clamping a test gas cylinder and supporting the gas cylinder to do vertical accelerated motion, the gas cylinder telescopic rotary clamping tool is fixedly arranged below the lifting table, and the lifting table is provided with a temperature control cavity annular wall inlet and outlet. And the temperature control cavity annular wall inlet and outlet is used for providing an extension and retraction channel for the multi-section annular wall of the temperature control cavity. According to the test device and method, high-energy and high-acceleration drop simulation is realized, an accurate temperature environment simulation function is integrated, all-around and automatic test and safety guarantee are provided, the test flexibility and automation degree are improved, self-verification and feedback optimization capabilities are provided, the test accuracy can be verified, and the test efficiency is improved. And closed-loop optimization of the test process is supported.

The application discloses an interception guidance method and related device considering speed time variation and target maneuvering, relates to the technical field of missile guidance, and comprises the following steps: acquiring missile maneuvering parameters and target maneuvering parameters; establishing a three-dimensional guidance model under the condition of speed time variation and target maneuvering according to the missile maneuvering parameters and the target maneuvering parameters; constructing a time-varying navigation ratio proportional guidance law based on the three-dimensional guidance model; increasing a vertical acceleration component on the basis of the time-varying navigation ratio proportional guidance law to generate an improved augmented proportional guidance law; decomposing a missile normal acceleration vector in a missile total acceleration vector to a pitch plane and a yaw plane, and generating an attitude control instruction based on the conversion between an inertial coordinate system and a speed coordinate system; and adjusting the attitude control instruction based on the real-time updated missile time-varying navigation ratio, the missile normal acceleration vector and the target maneuvering parameters to intercept the target. The application can effectively improve the interception precision and stability of the missile in a complex maneuvering environment.

The application discloses a catenary guide height measurement error dynamic correction method, device, equipment and medium, which is applied to the field of catenary geometric parameter precision measurement. The method constructs a guide height error-distortion degree time sequence correlation model related to the guide height error by analyzing the three-dimensional distortion degree corresponding to the original pull-out value sequence, the vertical acceleration and the pitch angle rate, and then compensates and corrects the original guide height sequence, and the correction effect is also verified. The guide height error-distortion degree time sequence correlation model effectively utilizes the internal stability of the pull-out value, realizes accurate tracing and measurement of the guide height error, and the three-dimensional distortion degree strengthens the dynamic adaptability of the model, so that the model can intelligently adapt to the change of complex working conditions, and the robustness and reliability under different line conditions are significantly improved. The method provided by the application forms a closed loop of acquisition-correction-correction verification, and the reliability and accuracy of the catenary detection system are improved.

Method for roll stabilization of a motor vehicle by means of an adjustable roll stabilizer (1), comprising an actuator (2) which can be controlled depending on vehicle parameters in order to rotate two connected stabilizer sections (6a, 6b) relative to each other about an axis of rotation (3), wherein the stabilizer sections (6a, 6b) are each coupled to a wheel suspension (7a, 7b, 8a, 8b, 9a, 9b) radially from the axis of rotation (3), wherein vertical acceleration signals (a7a, a7b) of individual wheels (7a, 7b) are taken into account for the control of the actuator (2), characterized in that, in the presence of a signal for a roll acceleration of the vehicle body (10), the compression velocity (v(rel)) of a wheel (7a, 7b) is directly calculated from the roll acceleration of the vehicle body (10). and the wheel acceleration (a7a, a7b) is determined.

A steer-by-wire steering system of a vehicle having a drive simulator includes: an operation device including an operation member to be operated by a driver and a reaction force applying device configured to apply an operation reaction force against an operation of the operation member; a steering device including a steering motor that is an electric motor as a drive source and configured to steer a wheel; and a controller configured to control the steering device and the reaction force applying device. In a simulator mode in which the drive simulator functions, the operation device is used to operate a simulation vehicle to be operated in the drive simulator. In the simulator mode, the controller causes the reaction force applying device to apply the operation reaction force including a vertical-acceleration-dependent component based on a signal relating to vertical acceleration of the simulation vehicle and sent from the drive simulator.

The invention provides a stiffness parameter collaborative matching and dynamic iteration updating method and system for a passenger and freight collinear ballastless track, and belongs to the technical field of structural design and optimization in the field of railway track engineering. Vehicle-track structure dynamic response characteristics of a track system under different rigidity combinations are collected, wherein the vehicle response characteristics comprise vehicle body vertical acceleration, wheel rail vertical force and the like, and the track system response characteristics comprise steel rail vertical displacement, fastener vertical force and the like. A sensitive response feature evaluation matrix is constructed, and objective weights of all features are calculated by using an information entropy theory, so that a dynamic response feature weighted standardized evaluation matrix is established. And determining the relative fitting degree of multi-stiffness combinations of different track systems, realizing collaborative matching of multi-stiffness parameters of the track systems, and identifying a high-matching-degree stable region and a parameter combination with strong robustness.