454 results about "Axle load" patented technology

The invention provides a vehicle axle load calculation method and device, electronic equipment and a storage medium, and the method comprises the steps: responding to a vehicle axle load evaluation request initiated by a target user on a vehicle axle load evaluation interface; obtaining the number of seats in each row, the servicing mass, the wheelbase, the front axle load ratio in the servicing state and the position information of the target passenger vehicle input by the target user on the whole vehicle axle load evaluation interface; and calculating rear axle load data according to the servicing mass, the wheelbase, the front axle load ratio in the servicing state and the position information of the target passenger vehicle. Determining all load working conditions of the target passenger car according to the number of seats in each row of the target passenger car; and according to the curb mass, the rear axle load data, the number of passengers in each row of seats in each load working condition and the number of luggage, the whole vehicle load under each load working condition is calculated. Through the mode of the invention, the whole vehicle load under a plurality of load working conditions can be calculated.

The invention discloses a heavy traffic asphalt pavement damage evolution prediction system, and relates to the technical field of road engineering, and the system comprises a data acquisition module which is used for obtaining continuous multi-frame time sequence images of pavement cracks, a vehicle-mounted axle load spectrum and environment temperature and humidity data; the image processing and space-time modeling module is used for performing multi-scale fractal processing and dynamic time warping on the time sequence image and calculating a cross-scale fractal dimension sequence; the material performance association module is used for establishing and updating a probability association model of the fractal dimension and the shear modulus in real time according to the test data of the dynamic shear rheometer; the multi-physics field data fusion module is used for performing multi-physics field feature fusion through the fractal attention network to generate a multi-physics field collaborative damage correction factor; and the damage prediction and early warning module is used for predicting a fractal dimension growth trend through a fractal domain adaptive transfer learning algorithm, and outputting damage evolution early warning based on a viscoelasticity phase consistency verification result.

The invention relates to the field of locomotive power battery electric quantity control, and particularly discloses a locomotive power battery electric quantity hysteresis equalization control method, which comprises the following steps that: a traction force exerting mode is reset into an axle load transfer mode, and the initial value of an electric quantity equalization compensation coefficient K is a rack axle load transfer coefficient corresponding to zero speed; judging whether the current mode is a power battery power supply mode; if yes, the TCU receives the electric quantity of a front power battery and the electric quantity of a rear power battery in real time according to the current locomotive working mode, calculates the electric quantity average value difference value, monitors the auxiliary load power and the traction motor power and calculates the power difference value; entering a hysteresis control logic process; calculating a dynamic traction force compensation coefficient, ensuring that the traction force compensation amount is matched with the actual load characteristic of the system, correcting the traction characteristic curve in real time, and dynamically compensating the electric quantity difference of the battery; and performing traction distribution control according to the locomotive speed and outputting corresponding traction.

The invention discloses a heavy vehicle axle load identification method based on bridge deflection influence line distribution, and the method comprises the following steps: erecting a monitoring device for vehicle parameter identification on a bridge floor, and arranging a structure displacement detection device at the midspan of a bridge to identify the midspan deflection of the bridge; carrying out on-site vehicle running test to obtain influence lines of small heavy vehicles with different vehicle types and vehicle weights on the midspan deflection of the bridge; performing simulation amplification according to the influence line data of the small heavy vehicle; constructing a heavy vehicle axle load identification model, and performing model training through the obtained influence line data corresponding to the heavy vehicle; and inputting the data of the target heavy vehicle during bridge crossing into the heavy vehicle axle load identification model to obtain axle load data of the target heavy vehicle. The method has the advantages that the vehicle axle load is estimated through on-bridge visual recognition and under-bridge deflection calculation, and the influence of device installation on bridge floor traffic can be avoided; and meanwhile, the recyclable structural displacement detection device can effectively reduce the investment cost of equipment.

The invention relates to the technical field of road damage detection, in particular to an intelligent road damage recognition method and system based on image analysis, and the method comprises the following steps: obtaining road images, screening out substandard images, extracting local features of the images, executing enhancement processing, converting structural parameters, and matching a type template; and combining the vehicle axle load and the damage index to calculate a structure expansion trend, and generating damage expansion risk information. According to the method, the accuracy of damage type identification is improved by combining geometric parameters such as edge length, curvature range and closed region area value and performing scale conversion based on pixel resolution, and an evaluation mechanism of the influence of vehicle load on the damaged region is established by combining traffic flow and vehicle axle load data. The expansion trend is judged through the traffic frequency and the impact weight, the damage development situation is effectively predicted, the accident frequency, the speed limit information and the traffic obstruction factor are introduced into priority ranking calculation, and the urgency recognition capability of road maintenance is enhanced.

The invention provides a front and rear axle load estimation method and system and a steer-by-wire vehicle, and the method comprises the steps: (1) when the vehicle is in a longitudinal stable and straight driving state, updating the mass of the whole vehicle; (2) establishing a least square recursion equation with a forgetting factor based on the dynamic motion equation of the vehicle on the ramp, and calculating the gradient of the current ramp; and (3) calculating a front axle load and a rear axle load based on the whole vehicle mass and the current gradient. The whole vehicle mass estimation is started under the working conditions of longitudinal stability and straight driving, so that the reliability and the stability of the whole vehicle mass calculation process are ensured; besides, vehicle dynamics and kinematics models are fused, recursive calculation is performed by applying a least square method with a forgetting factor, the road gradient can be estimated in real time at high frequency and high precision under various driving working conditions of the vehicle, and the limitation of a traditional fixed parameter model is broken through.

A computer system has processing circuitry to selectively operate the powertrain system in at least a freewheeling mode, in which an output shaft of the engine is non-rotating, and the engine is disconnected from the one or more drive wheels. The processing circuitry is further configured to: determine an opportunity for the freewheeling mode by predicting a feasibility of restarting the engine along an intended route by using a controllable clutch. Predicting the feasibility of restarting the engine by using the controllable clutch includes determining fulfillment of any one of a first restarting condition and a second restarting condition. Determining fulfillment of the first restarting condition includes comparing current total weight of the vehicle with a threshold value indicative of a minimum total weight for avoiding excessive braking of the vehicle during restarting at a high friction road condition with a given total gear ratio. Determining fulfillment of the second restarting condition includes comparing a current drive axle load with a corresponding threshold value indicative of a minimum drive axle load on a drive axle for avoiding excessive wheel slip during restarting at a low friction road condition with a given total gear ratio. The powertrain system is controlled into the freewheeling mode upon the fulfillment of any one of the first restarting condition and the second restarting condition.

The embodiment of the invention provides a vehicle suspension control method and system, a vehicle and a computer readable storage medium, and the method comprises the steps that in the vehicle driving process, a road section in front of the vehicle is detected, target road section data is obtained, and the target road section data at least comprises curve data and / or slope data of the road section in front; based on the target road section data and the current state parameters of the vehicle, control parameters of a suspension in the vehicle are determined, the control parameters comprise suspension rigidity corresponding to the curve data and / or axle loads corresponding to the slope data, the axle loads act on axles of the vehicle, and the axles are connected with a vehicle body of the vehicle through the suspension; according to the control parameters, the initial damping force of the suspension is adjusted to the target damping force, and the initial height of the vehicle body is adjusted to the target height; the suspension is controlled according to the target damping force and the target height so that the vehicle can run to the front road section. The technical problem that the suspension control efficiency is low is solved.

The invention provides a loading safety monitoring method and system for a rear-loading vehicle and the vehicle. The method comprises the following steps that the arc height variable quantity of a plate spring of the vehicle in the current loading state is collected; based on the arc height variable quantity, a vehicle total weight estimated value is obtained through calculation; based on the axle load estimation values of the front axle and the rear axle and the axle distance of the vehicle, estimating the current gravity center height of the vehicle, and dynamically compensating the gravity center height according to the dynamic state parameters; and calculating a stability risk coefficient of the vehicle according to the total weight estimated value of the vehicle and the compensated gravity center height so as to carry out early warning. Displacement sensors are arranged on a front plate spring and a rear plate spring of a vehicle to collect arc height variation in real time, an axle load and a vehicle total weight estimated value are calculated based on a pre-calibrated plate spring rigidity coefficient, the gravity center height of the vehicle is estimated to evaluate the stability of the vehicle, and meanwhile the gravity center height is dynamically compensated based on dynamic parameters in the driving process. The evaluation precision under complex working conditions is improved, and the transportation safety is guaranteed.

The invention relates to the field of power control, and particularly discloses an electric four-wheel drive torque distribution method based on a climbing working condition, which comprises the following steps: defining vehicle state parameters, power system parameters, vehicle real-time driving state parameters and road condition parameters; carrying out torque calculation by utilizing Julia, considering shaft load, friction coefficient, motor efficiency and yaw velocity correction, obtaining a comprehensive weight of a front shaft and a rear shaft, and carrying out normalized torque distribution; and establishing model simulation through Modelica, and verifying the effectiveness of the distribution scheme. According to the invention, the climbing performance of the vehicle can be improved, the control flexibility and driving stability of the vehicle are improved, the energy consumption is reduced, the dynamic stability is enhanced, and the method is suitable for power control of the electric four-wheel-drive vehicle under the climbing working condition.

The invention relates to the technical field of highway bridge safety monitoring, in particular to a bridge dynamic weighing algorithm based on Bayesian maximum posterior probability. Obtaining influence lines through a bridge calibration test, and calculating an influence line matrix, a mean value and a covariance; using a Moses algorithm to obtain the vehicle axle load as the axle load of the initial main cycle i = 0; initial axle load distribution is set, the covariance of load response is obtained through the influence line covariance, the measurement noise and the axle load of the main cycle, and an axle load mean vector and a stable value of the covariance are iterated together with the influence line matrix, the initial axle load distribution and the load response to serve as the axle load distribution of the main cycle; according to the axle load distribution, the influence line matrix, the load response and the covariance thereof, the posterior probability of the axle load is obtained, and the axle load when the probability is the maximum serves as the axle load corresponding to the (i + 1) th main cycle; and repeating until the axle load update difference value is smaller than the preset value, and outputting the axle load result, thereby solving the problem of low axle load identification precision of the existing bridge dynamic weighing system.

This invention is applicable to the field of vehicle stability control technology and provides a coordinated stability control method and system for distributed, drive-by-wire vehicles. The method comprises the following steps: constructing a vehicle dynamics model; collecting vehicle state information based on a state recognition layer and a driving intention recognition layer, calculating and correcting the ideal yaw rate and ideal center-of-mass sideslip angle; allocating control variable weights using a KDPC algorithm; calculating the values ​​of the vehicle's control variables, namely, the rear wheel angle and the additional yaw moment; and allocating wheel drive torque based on the vehicle force, the additional yaw moment, the ratio of front and rear axle loads, the wheel radius, and the wheelbase. Through its electronic and dynamic control strategy, the invention achieves multi-dimensional advantages in flexibility, stability, energy efficiency, and intelligence, extending the vehicle chassis' extreme performance and vehicle handling stability.

The invention discloses an in-loop test system and a test method for a power shift axle box assembly. The in-loop test system comprises the power shift axle box assembly, a driving module, a first rear axle loading module, a second rear axle loading module, a front axle loading module, a motor frequency converter group, a measurement module, a control cabinet and an upper computer, the measuring module is connected with the power gear shifting axle box assembly, the driving module, the first rear axle loading module, the second rear axle loading module, the front axle loading module, the control cabinet and the upper computer. A transmission controller is arranged on the power gear shifting bridge box assembly; the transmission controller is connected with an upper computer through a whole vehicle CAN bus. The motor frequency converter group is respectively connected with the first rear axle loading module, the second rear axle loading module, the front axle loading module and the driving module; the control cabinet is further connected with the motor frequency converter set and the upper computer. The performance and control logic verification of the transmission body and the controller under the whole vehicle working condition is realized, and the software and hardware performance test requirements of the power shifting axle box assembly under different working conditions are met.

The invention provides a low-frequency excitation and high-frequency impact coupled void lining test device and method, and belongs to the technical field of tunnel instability monitoring, and the device comprises a lining loading system, a low-frequency excitation system and a high-frequency impact system. The loading mechanism simulates the surrounding rock load borne by the lining in the circumferential direction, and the surrounding rock load borne by the lining can be simulated by adjusting parameters such as the magnitude and the direction of loading force. The vibration exciter is matched with the power amplifier, low-frequency and high-amplitude vibration matched with the axle load characteristics of the train can be generated, and the fatigue damage effect on the lining caused by long-term running of the train is simulated. When the electric detacher controls the drop hammer to be separated from the truss and fall freely, high-frequency transient impact force can be generated, and the transient load effect of a lining impacted by falling rocks is simulated. According to the test device, through multi-physics field coupling loading, the problems that a void lining damage mechanism is unclear and prediction means are deficient are solved, a complete technical chain is provided for railway tunnel structure safety, and the test device has academic value and engineering popularization significance.

The invention relates to a calculation method for a composite gradient of a longitudinal section of a bridge based on axle load of a train. The calculation method comprises the following steps: S1, acquiring the total time step number of bridge crossing of the train and the wheel set position of the train under each time step; s2, fitting a bridge linear function within the length range of the train getting on the bridge at a certain time step; s3, determining the gradient corresponding to the axle weight borne by a wheel set at the wheel set position of the upper bridge according to the wheel set position of the upper bridge and the bridge linear function of the upper bridge at the time step; s4, according to the axle weight borne by the locomotive wheelset, the axle weight borne by the truck wheelset and the gradient corresponding to the axle weight borne by the position of the upper axle wheelset under the time step, calculating the composite gradient of the train during bridge crossing under the time step; and the steps S2 to S4 are repeated, and the dynamic composite gradient in the train bridge crossing time history is obtained. According to the calculation method provided by the invention, the influence of axle loads borne by different slope sections and train wheel pairs on the gradient is considered, the calculation result better conforms to the actual situation, and the precision is correspondingly improved.

The invention provides a vehicle control method, a vehicle and a storage medium, and the method comprises the following steps: if it is detected that the vehicle is in a target state, obtaining a transfer axle load of the vehicle and a whole vehicle request torque; wherein the target state is used for indicating that the vehicle is in a tug-of-war state; determining an axle load distribution proportion of a front axle and a rear axle of the vehicle based on the transfer axle load; based on the whole vehicle request torque, the axle load distribution proportion and the vehicle wheel speed, the first distribution torque of a front axle and the second distribution torque of a rear axle are determined; a first distribution torque is output to the front axle and a second distribution torque is output to the rear axle. The method can ensure the safety of the vehicle when the vehicle is in the target state.

The invention provides an energy recovery control method and system for improving the stability of a rear-wheel-driven vehicle, and the method and system are suitable for a new energy vehicle with a rear-wheel-driven belt for recovering sliding energy and braking energy, and the method comprises the following steps: under the working conditions that the driving torque is smaller than 0 and the turning angle of a vehicle steering wheel or the change rate of the turning angle of the steering wheel is larger than a preset threshold value, the steering wheel is started; the real-time rear axle load of the vehicle is obtained; when the rear axle load is lower than a first preset threshold value, braking energy recovery is quitted, and sliding energy recovery is reserved; and when the rear axle load is lower than a second preset threshold value, sliding energy recovery is quitted. The method is suitable for the working condition that the lateral acceleration of a vehicle is large during large-angle steering or rapid steering in the high-speed deceleration process of a rear-drive vehicle, and the method is used for solving the problem of excessive steering drifting caused by insufficient energy recovery rear axle adhesion of a new energy vehicle.

The invention belongs to the technical field of suspension vibration reduction, and particularly relates to a suspension system design method which comprises the following steps: determining the load gravity center of a whole vehicle according to the overall arrangement requirement, preliminarily arranging an action system, and respectively arranging a wheel train and a suspension guide mechanism. In the aspect of wheel train arrangement, according to the principle that the load gravity center and the elastic center coincide as much as possible, the wheel train position is preliminarily arranged, random road excitation is generated, an equivalent linear dynamics model of a vehicle is established, and dynamics matching calculation is carried out. In the aspect of suspension guide mechanism arrangement, a hydro-pneumatic suspension mathematical model is generated, the determined suspension damping ratio is input into the hydro-pneumatic suspension mathematical model to guide damping valve design and generate nonlinear damping characteristics, and meanwhile, the calculated axle loads are input into the hydro-pneumatic suspension mathematical model to generate nonlinear damping characteristics. The method is used for generating and calculating non-linear elastic characteristics and comprehensively evaluating whether vehicle body vibration response characteristics, suspension heat balance temperature rise characteristic curves and key and heavy part reliability analysis results meet design index requirements or not.

The invention discloses an axle load calculation method for a multi-modular emergency vehicle, and the method comprises the steps: S1, inputting chassis parameters, and calculating the mass center position of a chassis; s2, inputting the size and the mass of each compartment body, and calculating the mass center position of each compartment body; s3, adjusting and determining the mounting position of each compartment body on the chassis, such as transverse arrangement or vertical arrangement, and recording the mass center position of each compartment body relative to the chassis; and S4, summarizing the mass of all the compartment bodies, calculating the total mass of the whole vehicle, calculating the mass center position of the whole vehicle, and calculating the total mass and the mass center position of the whole vehicle. According to the method, the axle load is calculated in real time before compartment loading, so that the influence of each compartment body on the mass center and the axle load of the whole vehicle can be known in time. According to a traditional loading mode, axle load calculation and adjustment often need to be carried out after installation is completed, so that time is consumed, and repeated disassembly and assembly are possibly caused. By means of the scheme, an operator can conduct adjustment according to the real-time calculation result before loading, follow-up reinstallation is avoided, and the loading efficiency is remarkably improved.

The invention provides a whole vehicle axle load generation method and device, terminal equipment and a storage medium, and the method comprises the steps: obtaining the whole vehicle mass of a target vehicle model, and dividing the whole vehicle mass into a servicing mass module, a passenger mass module and a rated load mass module according to the mass distribution of the vehicle in different states; calculating a servicing mass front axle load of an equivalent mass center of the servicing mass module under the first whole vehicle axle distance based on an association relationship between each part in the servicing mass module and the whole vehicle axle distance; a passenger mass front axle load of the passenger mass module under the first vehicle axle distance is generated according to the distance between the passenger mass center and the front wheel center; generating a rated load mass front axle load of the rated load mass module under the first vehicle axle distance according to the distance from the center point of the trunk to the center of a front wheel; and according to the curb mass front axle load, the passenger mass front axle load and the rated load mass front axle load, the whole vehicle axle load of the target vehicle model is generated. According to the method, the whole vehicle axle load calculation efficiency and flexibility of different vehicle types can be improved.

The invention discloses a tire control performance index coefficient automatic generation method and system, and the method comprises the steps: employing vehicle dynamics simulation software to generate a tire dynamics model, and obtaining a model file; obtaining a load parameter input by a user; the load parameters comprise a front axle load and a rear axle load; reading the model file, and obtaining a first calculation coefficient of the tire from the model file; substituting the first calculation coefficient into a magic formula to obtain a first fitting function; calling a first fitting function, calculating according to the load parameters to obtain force and torque of each working condition, and obtaining a first calculation result; according to the first calculation result and the load parameter, calculating a tire control index coefficient under each working condition through an index calculation formula; and outputting the tire control index coefficient to a preset result file, and generating a tire control performance index coefficient result report. According to the method, the tire control performance index coefficient can be accurately and efficiently generated, so that the tire modeling standardization is improved, and the method can be widely applied to the technical field of computers.

The invention provides a vehicle reversing control method and device, a vehicle and a storage medium, the method is applied to the field of vehicles, and the method comprises the steps that under the condition that the vehicle backs down on a ramp, the gradient of the ramp and the total braking force of the vehicle are obtained; first braking force of a front axle of the vehicle and second braking force of a rear axle of the vehicle are determined based on the gradient and the total braking force, the first braking force is used for braking the front wheels, and the second braking force is used for braking the rear wheels of the vehicle; under the condition that the first braking force is larger than the second braking force, target braking force of a rear axle is determined based on the total braking force and the rear axle load of the vehicle, the target braking force is used for meeting the braking requirement of the vehicle and maintaining rotation of front wheels, and the rear axle load is the load borne by the rear axle. According to the method, under the condition that the first braking force of the vehicle is larger than the second braking force, the braking force is distributed to the rear axle again based on the rear axle load and the total braking force, so that the braking requirement of the vehicle is met, and front wheels of the vehicle are prevented from being locked.

The invention relates to a method (100) for controlling a vehicle (10), wherein the vehicle (10) has a first axle (16.1), a brake (22) associated with the first axle (16.1), and / or a drive (46) associated with the first axle (16.1), and a second axle (16.2). A traction improvement request (105) for the first axle (16.1) is generated (104), and an axle load (23.1) of the first axle (16.1) is increased in response to the traction improvement request (105) relative to an axle load (23.2) of the second axle (16.2) (110). The traction improvement request (105) is generated preventively.

The invention belongs to the field of intelligent transportation, and discloses a large transport vehicle violation detection method and system based on multi-dimensional data matching, and the method comprises the steps: carrying out the data segmentation of the data information of the axle load and axle distance of a special multi-axle large vehicle measured by a dynamic weighing system, and forming a one-dimensional discrete data graph, and according to the formed one-dimensional discrete data graph, establishing a mapping relation between the axle load wheelbase and the total load of the large transport vehicle, and judging whether the large transport vehicle is overloaded or not based on the relation. An image of a large transport vehicle is collected through a highway camera, a point cloud model of the large transport vehicle is generated by adopting an SLAM algorithm, geometric parameters of the large transport vehicle are extracted, and the obtained point cloud model is matched with a preset contour template so as to judge whether the large transport vehicle is loaded illegally or not. According to the invention, one-dimensional data and two-dimensional data are fused in detection of overweight and illegal loading of the vehicle, so that violation detection of the large transport vehicle is realized.

The invention discloses a vehicle weighing method and device, computer equipment and a storage medium, and relates to the technical field of vehicle loading, and the method comprises the steps: responding to a weighing instruction corresponding to a target object, and obtaining the current front axle load and the current vehicle body inclination angle of a vehicle based on the weighing instruction; and determining the current load of the vehicle based on the current front axle load and the current vehicle body inclination angle. By means of the method, the vehicle has the electronic scale function, manpower consumption can be reduced, the conveying efficiency can be improved, and the production efficiency is further improved. And meanwhile, additional sensors do not need to be added on the vehicle, cost increase is avoided, the requirement for vehicle configuration is not high, and the adaptive vehicle types are very wide.

The present invention provides a method and system for monitoring the operation safety of a freight car based on TFDS, which relates to the technical field of railway freight car fault detection, including: obtaining first information, second information, third information, fourth information and fifth information; performing matrix construction processing according to the third information to obtain initial load distribution information; performing dynamic analysis according to the initial load distribution information and the fourth information to obtain dynamic load distribution information; performing correlation analysis according to the dynamic load analysis information and the second information to obtain the axle load distribution state; performing model construction processing according to the axle load distribution state and the first information to obtain a chain graph model; dynamically adjusting and evaluating the stress state and coupling relationship of each node in the chain graph model according to the fifth information to obtain fault warning information. The present invention can reflect the load distribution of the carriage and the stress transfer between axles in real time by fully integrating multi-source data.

The invention discloses a train disc brake test device and method considering a wheel-rail creep effect, and the device comprises a test bench pedestal, a fixed portal frame, a track simulation system, an axle load system, a disc brake system and a control system, the fixed portal frame is fixedly arranged on the test bench pedestal, and the track simulation system is arranged on the fixed portal frame. The axle load system is fixedly arranged above the test bed base through the fixed portal frame, the disc brake system is fixedly arranged on the axle load system, and the track simulation system is installed on the test bed base and is in rolling contact with the axle load system. According to the invention, the brake performance analysis of the disc type brake system under wheel-rail creep and the dynamic response to simultaneous braking of a plurality of brake discs can be realized. Therefore, the braking characteristics of the disc type braking system under the wheel rail creep condition and the complex coupling mechanism between the braking system and the wheel rail are deeply discussed.

The invention discloses a wheel rail vibration boundary condition testing method and device and a medium. Relates to the field of high-speed trains, and solves the problem of testing wheel-rail vibration boundary conditions on a scaling wheel-rail vibration test bench. According to the invention, from the collection of the real-time axle load value, the real-time torque and the six-component data, the interaction and vibration characteristics between the wheel rails can be reflected more accurately. Through comprehensive processing and analysis of data, feedback control data is finally generated and used for adjusting operation parameters of the test bench. Based on the real-time adjustment of feedback control data, the intelligent and automatic level of the test bench is improved, and the dynamic control of the test process is realized. Compared with a full-scale test bench, the scaling rolling test bench has lower operation and maintenance cost, and can meet the research requirements on the vibration characteristics of the high-speed train.

The invention discloses an anti-skid control method for a high-speed train at a higher speed, which comprises the following steps of: firstly, acquiring basic information such as the speed and the axle load of the high-speed train in real time through a sensor, establishing a real-time analysis model by virtue of data, then calculating a real-time adhesion coefficient, and further judging the rail surface state of wheel-rail contact of the high-speed train; the optimal creep rate under the current rail surface condition is calculated based on the information, the traction or braking torque is adjusted through a control strategy by comparing the optimal creep rate with the actual creep rate in real time, anti-skid control adjustment is conducted, and the adhesion utilization rate and operation safety are improved. According to the method, for a high-speed train at a higher speed, the torque is changed through adhesion control, so that anti-skid control is carried out, the adhesion utilization rate and the operation safety are improved, and wheel skid and abnormal abrasion can be effectively restrained.

The invention relates to the technical field of bridge monitoring, in particular to a medium and small span bridge strain intelligent verification and diagnosis method and system combined with refined space axle load. According to the method, a space-time distribution matrix of the vehicle axle load of the actual traffic flow on the multi-beam medium and small bridges is established based on a data driving method, an implementation process for converting time-discontinuous discrete dynamic weighing monitoring data into a time sequence of the vehicle axle load is provided, and reference is provided for engineering application. According to the method, the bridge is innovatively divided according to the longitudinal area to achieve linkage calculation of the time sequence of the vehicle axle load and the theoretical strain value of the key section of any main beam of the small and medium-sized bridge, and the strain-based safety condition evaluation index of the small and medium-sized bridges is established by combining the strain monitoring data of the key section of the small and medium-sized span bridge. According to the method, the bridge health monitoring data are effectively mined, the value of the multi-source monitoring data is fully utilized, and the rationality and reliability of bridge safety evaluation are effectively improved.