212 results about "Axle load" patented technology

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 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.

The invention provides a lateral movement sensing method and a vehicle, the method is applied to the technical field of vehicle control, and the method comprises the steps that a tire slip angle value at the current moment is obtained in response to a target calculation instruction of the vehicle; calculating an actual lateral force value at the current moment based on the tire slip angle value and the current wheel slip rate of the vehicle; and calculating the actual lateral motion acceleration of the vehicle according to the actual lateral force value, and evaluating the axle load transfer amount in the vehicle steering process according to the actual lateral motion acceleration. According to the method, the actual lateral force can be calculated in real time according to the tire slip angle and the wheel slip rate in various running states of the vehicle, then the actual lateral motion acceleration of the vehicle is accurately output, different working conditions can be adapted, and the real-time performance and accuracy of vehicle dynamics control are improved.

The invention discloses a coal ash roadbed permanent deformation prediction method and a prediction model thereof. The method comprises the following steps: firstly, obtaining the optimal water content and the maximum dry density of fly ash through a fly ash compaction test; filling the fly ash in the state into a full-scale model according to a core-spun method, and applying dynamic loads simulating different vehicle speeds and axle loads to carry out a test to obtain permanent deformation values under different working conditions; and establishing a prediction model based on a time hardening power law criterion and a nonlinear viscoplastic constitutive theory, fitting test values to determine model parameters, and constructing the prediction model. Based on the prediction model, equivalent standard axle load action times allowed by a road structure are predicted according to a specified critical threshold, quantitative evaluation of road durability is realized, and a scientific early warning mechanism is provided for road maintenance decision. According to the technical scheme, the settling volume of the fly ash roadbed can be accurately predicted, and the road durability is effectively evaluated.

The motor tricycle rear axle load adjusting device comprises a base, an adjusting arm and a load spring, two sides of the base are respectively and rotatably connected with one end of an upper rocker arm, and the other end of the upper rocker arm is respectively connected with a rear wheel steering knuckle. Two brackets and a jacking mechanism are fixedly arranged on the upper surface of the base; the jacking mechanism is located between the two supports. The adjusting arm comprises a first end part, a second end part and an arm body, a through hole is formed in the first end part and is used for being rotatably connected with the second through hole, one end of a load spring sleeves the bottom of the second end part, and the other end of the load spring sleeves the upper surface of the upper rocker arm; a third through hole is formed in an arm body of the adjusting arm and used for being rotationally connected with a hole in the top of the jacking mechanism. The adjusting arm serves as a lever, the third through hole serves as a fulcrum, the through hole in the first end serves as a force point, the jacking mechanism presses the two load springs downwards while ascending, and load support is provided for the motor tricycle.

1. The name of the design product: multifunctional detector. 2. The use of the design product: for the safety of motor vehicles, for detecting braking performance, pressure, tension, weighing, axle load performance. 3. The design points of the design product: in shape. 4. The picture or photo that best shows the design points: design 1 perspective view. 5. Design 1 is designated as the basic design.

The present application relates to the technical field of bridge health monitoring, in particular to a bridge health monitoring system acceleration sensor online calibration method and system. The method comprises the following steps: extracting dynamic axle load time history characteristics and environmental interference correction factors according to traffic load data and environmental monitoring data; processing standard sensor data and to-be-calibrated sensor data to obtain real vibration reference characteristics and initial deviation characteristics; using the traffic load data and the real vibration reference characteristics to obtain working condition weight characteristics; combining the dynamic axle load time history characteristics, the environmental interference correction factors, the real vibration reference characteristics, the initial deviation characteristics and the working condition weight characteristics to obtain adaptive optimization calibration values. The present application can realize calibration without disassembling sensors and blocking traffic under normal operation of the bridge, evaluate transient errors through multi-data coupling, adaptively optimize calibration values, and ensure monitoring accuracy while reducing operation and maintenance costs.

The application discloses a hydraulic weighing system for heavy-load vehicles at high-speed intersections, and belongs to the technical field of heavy-load transportation, which comprises a plurality of pits evenly spaced along the longitudinal direction of a road, a road panel arranged at the opening of the pit, an oil cylinder corresponding to the road panel arranged in the pit, a middle partition plate of the oil cylinder separating the inner side of the oil cylinder into an upper oil cylinder groove and a lower storage groove, a piston fixed at the bottom of the road panel and slidingly arranged in the oil cylinder groove, and an oil bag arranged between the piston and the middle partition plate; a pressure measuring instrument is installed in the storage groove, and the output end of the pressure measuring instrument is connected to the oil bag; the pressure measuring instrument can convert the current actual axle load according to the pressure change amount, and the weighing data information of each road panel is returned to a central control computer, and the computer outputs the size of each axle load and the axle spacing. The application can be used for accurately calculating the total weight of vehicles and goods, and can also consider more detailed load factors such as the axle load and the wheelbase.

This application relates to the field of lifting equipment technology, specifically providing a hoisting machine and a support adjustment method. The hoisting machine includes a chassis, which comprises a frame, a first front axle, and a second front axle connected to the frame. The first and second front axles are independently mounted on the frame, or the first and second front axles form a modular front axle assembly connected to the frame. Increasing the load capacity generally requires increasing the frame and axle dimensions to meet load-bearing and stability requirements, but this easily leads to exceeding specifications and limitations. The hoisting machine provided in this application uses multi-axle support at the front end of the frame. By increasing the number of front axles, it significantly increases the machine's load-bearing capacity and load capacity without increasing the size or requirements of the axles and the frame itself, thus at least partially solving the problem of insufficient front axle load-bearing capacity in existing front-end hoisting cranes.

The present application relates to the technical field of bridge quality detection, especially to a continuous beam bridge different span loading load test method, comprising the following steps: determining a control section on the continuous beam bridge; measuring the axle load and the wheelbase of the test vehicle; calculating and analyzing the interval area of the calculated bending moment change effect function with the moving vehicle; analyzing and calculating the interval area of the measured bending moment change effect function with the moving vehicle; comparing the ratio of the interval area of the calculated bending moment change effect function with the moving vehicle and the interval area of the measured bending moment change effect function with the moving vehicle through the calibration coefficient to determine whether the bearing capacity requirement is met. The continuous beam bridge different span loading load test method can effectively reduce the arrangement of measuring points and the need for test vehicles, and quickly and accurately judge the bearing capacity state of the bridge by calculating the bending moment change effect function with the moving vehicle and the measured bending moment change effect function with the moving vehicle.

The application discloses a wheel fatigue life prediction method based on a rolling contact fatigue simulation technology, and comprises the following steps: establishing a finite element model of a wheel-axle-rail, performing grid encryption on a wheel-rail contact area, and performing static strength checking to obtain an initial finite element model meeting static force requirements; establishing a wheel-rail rolling contact model based on the initial finite element model, describing rolling motion of the wheel by using a hybrid Lagrangian / Eulerian description or a co-rotating coordinate system, and applying a wheel non-circularity excitation spectrum in explicit dynamics analysis to calculate a dynamic contact stress field under different axle loads and friction coefficients; and based on the dynamic contact stress field, a multi-axle fatigue damage model is used in combination with a linear cumulative damage criterion to calculate fatigue life, and an abrasion correction coefficient and a residual stress correction coefficient are introduced to correct the calculation results. The application significantly improves the prediction accuracy of fatigue defects such as wheel peeling, cracking and polygonization.

The application relates to a vehicle axle load position monitoring method, comprising the following steps: detecting a vehicle in a real-time monitoring picture based on a target detection model; extracting geometric features of the vehicle, establishing an indirect inference method of the axle load position, and establishing a vehicle axle load key point data set and a key point detection model based on the indirect inference method; training the key point detection model by using the vehicle axle load key point data set; based on the detection result of the key point detection model, transforming axle load coordinates in an image coordinate system into world coordinates in a world coordinate system through a homography matrix to obtain the axle load coordinates in the world coordinate system, and performing optimal estimation on a motion track of the vehicle axle load by using Kalman filtering and a kinematic bicycle model of the vehicle, so that real-time spatial distribution monitoring of the vehicle axle load is realized. Compared with the prior art, the application has the advantages that the positions of all axle load action points can be obtained according to a monocular image, the real-time spatial distribution monitoring precision of the axle load is high, and the like.

This invention relates to the field of straddle-type monorail vehicle operation simulation testing technology, and discloses a method and apparatus for simulating the operation of straddle-type monorail vehicles. The method involves adjusting the test bench to match the vehicle's wheel system, applying a vertical load to simulate vehicle weight using an axle load-simulating actuator, and achieving longitudinal and lateral fixation through a traction rod and pulley system. An onboard detection system acquires track irregularity displacement signals and track spectra from the actual track, which are then imported into a vibration simulation system to drive a vibration simulation device to reproduce the vehicle's operating state. Stability parameters are tested using sensors to complete the overall vehicle vibration reliability test. The corresponding apparatus includes a test bench foundation, a reaction frame, a loading gantry, and a vibration simulation system. This invention can accurately simulate actual operating conditions, achieve fault reproduction and extreme condition assessment, and effectively improve the realism and efficiency of the test.

The utility model relates to a telescopic tractor anti -rollover counterweight block mechanism, including frame, the adaptive board of installation in the top of frame, the counterweight ring of installation in the position of approaching four around of frame, the counterweight frame is equipped with with the counterweight ring coaxial setting of following rotation box in the extension position of both sides of frame, the adaptive board is used for adapting tractor chassis installation, and the counterweight ring and following rotation box are used for adapting tractor wheel anti -rollover installation, and the telescopic sleeve and the external cylinder of connection are all set up in both ends of counterweight frame, and the cylinder drives telescopic sleeve to approach or to be far from counterweight block, and the floating air bag is used as longitudinal buffer and compensation device, when tractor climbs, downhill or passes through undulating terrain causes the equal difference change of front and rear axle load, and the floating air bag can actively inflate and deflate, and the dynamic jacks up or releases counterweight ring, and shares the axle impact load, and the stability of auxiliary keeps the front and rear wheel ground pressure, thereby effectively promotes fuel economy, and improves the maneuverability of steering and driving, realizes the perfect unity of safety and efficiency.

The invention relates to an automobile gear combination switch control method integrated with a vehicle-mounted weighing function, and belongs to the technical field of automobile electronic control. The invention aims to solve the technical problems of high cost and complex wiring caused by single function of an existing gear controller and independent arrangement of a vehicle-mounted weighing system. The electronic gear shifting system comprises an electronic gear shifting module used for detecting the gear and the parking key state; the combined switch module is used for detecting on-off states of a windscreen wiper, light and the like; the vehicle-mounted weighing module is used for supplying power to the height sensors of the four wheels, receiving PWM signals of the height sensors and calculating the total weight of the vehicle, the load ratio of front and rear axles and the loads of the four wheels according to the calibration parameters and the height variation of the vehicle body; and the communication module is used for sending a gear shifting signal, a switching signal and a weighing signal through a CAN FD bus. The weighing function is integrated into the gear controller, the weighing precision is improved through inclination angle compensation, real-time display and overload reminding of load information are achieved, and the gear controller has the advantages of being high in integration level, low in cost and good in precision.

The application discloses a multi-module fusion vehicle state estimation model and a control method thereof, relates to the technical field of vehicle engineering and intelligent vehicle control, and comprises a tire force estimation module, a vehicle pose estimation module, an adhesion coefficient calculation module, a slip rate calculation module, a road surface friction coefficient identification module and a yaw angular acceleration calculation module; the tire force estimation module acquires four-wheel speeds, four-wheel driving torques, four-wheel braking torques, a vehicle speed, longitudinal acceleration, lateral acceleration, vertical acceleration, yaw angular velocity, pitch angular velocity and roll angular velocity, performs tire rotation dynamics calculation and axle load transfer calculation, and obtains longitudinal forces and vertical forces of each wheel. The application adopts a layered module architecture and multi-parameter fusion calculation, realizes accurate estimation of vehicle states, optimizes calculation logic and constraint mechanisms in different scenes through a working condition self-adaptive strategy, and improves overall estimation accuracy, system stability and engineering adaptation capability.

The utility model provides an air suspension system for a lifting shaft, which relates to the field of air suspensions, and adopts the technical scheme that the air suspension system comprises an air storage cylinder, a lifting air bag and a bearing air bag, and further comprises an electromagnetic valve, an air inlet of the electromagnetic valve is communicated with the air storage cylinder, and a first air outlet of the electromagnetic valve is communicated with the lifting air bag; the load sensing valve comprises a valve body and a transverse swing rod set, the valve body is arranged on the portion, between the third axle and the fourth axle, of the frame, the transverse swing rod set can be connected with the third axle and the fourth axle, an air inlet of the valve body is communicated with the air storage cylinder, a second air outlet of the electromagnetic valve is communicated with a control air port of the valve body, and an air outlet of the valve body is communicated with the bearing air bag. The height of the bearing air bag can be accurately adjusted according to the height of the frame, so that the axle load of the whole vehicle is reasonably distributed.

The application provides a method, device and system for determining torque of a driving motor of a four-wheel independent vehicle, which comprises the following steps: determining a maximum set torque of the motor according to a current rotating speed, and determining a maximum total power of the motor according to a current state of charge; determining a maximum power of each driving motor according to all current axle loads and the maximum total power of the motor, and determining a maximum real torque of each driving motor according to all the maximum powers and all the current rotating speeds; determining a final motor torque of each driving motor according to the maximum real torque and a pedal opening degree, or determining the final motor torque of each driving motor according to the maximum set torque and the pedal opening degree. The final motor torque is higher in efficiency than that of the prior art, thereby solving the problem that the prior art causes low running efficiency of the four-wheel independent driving electric explosion-proof trackless rubber-tyred vehicle due to the torque distribution of the driving motor.

The invention discloses a dumper control method and device, a controller, a medium and a dumper, and relates to the technical field of control. The method comprises the steps that under the parking condition of the dumper, a lifting instruction is responded, the front portion of a carriage starts to be lifted, and the angle of a target connecting rod mechanism is obtained in real time through an angle sensor in the lifting process; determining a target front axle load corresponding to the target connecting rod mechanism angle according to a mapping relation between the front axle load and the connecting rod mechanism angle; when the target front axle load is within the first axle load range, the rotating speed of the power takeoff is controlled to be the rotating speed corresponding to the opening degree of the accelerator pedal; when the target front axle load is changed from the first axle load range to the second axle load range, the rotating speed of the power takeoff is controlled to be the minimum rotating speed of the power takeoff, wherein the opening degree of an accelerator pedal can be controlled; and when the target front axle load is changed from the second axle load range to the third axle load range, the rotating speed of the power takeoff is controlled to be reduced to 0. By the adoption of the control method of the dumper, the backward overturning risk of the dumper during carriage lifting and unloading can be reduced.

The utility model discloses a loading device for axle load calibration, and belongs to the technical field of vehicle detection. The loading device for axle load calibration comprises a loading mechanism and a pressure applying mechanism installed below the loading mechanism. An air bag and a first pressing plate are arranged in the loading mechanism, and one side of the air bag abuts against the first pressing plate; a guide structure and a pressing rod are installed on one side of the first pressing plate, and the pressing rod is connected with a pressure applying mechanism. Air is input into the air bag for loading, the pressure applying mechanism is pressurized, and then the pressure applying mechanism applies pressure to the equipment. According to the device, calibration requirements of different weights can be met only by adjusting air in the air bag in the loading mechanism, standard weights do not need to be applied, manual carrying is not needed, and the working intensity of workers is relieved. The pressure sensor is further arranged and used for detecting the pressure value applied by the terminal and uploading data to the remote pressure controller, the remote pressure controller adjusts the pressure in the loading mechanism according to different weight requirements, and therefore the calibration requirements of different weights are met.

The utility model relates to the technical field of axle load plates, and discloses a modular axle load plate which comprises a weighing plate, three first mounting grooves are formed in the two sides of the lower portion of the weighing plate at equal intervals, and weight sensors are movably installed in the six first mounting grooves. The outer side of each of the six weight sensors is in threaded connection with two first fixing bolts, twelve first bolt holes are formed in the inner side of the weighing plate at equal intervals, one ends of the twelve first fixing bolts are in threaded connection with the interiors of the twelve first bolt holes respectively, and one side of the lower portion of the weighing plate is fixedly connected with a wireless module. And the six weight sensors are electrically connected with a wireless module. According to the modular axle load plate, through the arrangement of the wireless module, a line can be replaced for data transmission, the use of the axle load plate is facilitated, through the arrangement of the second fixing bolt and the first fixing bolt, the modular design of the axle load plate is realized, and the replacement of the weight sensor is facilitated.

The utility model discloses a parallel shaft type whole vehicle longitudinal and transverse load simulation platform, which comprises an integral frame, the integral frame comprises a concrete foundation pit, a lateral moving platform is arranged in the concrete foundation pit, and a revolving platform is arranged on the surface of the lateral moving platform. The upper part of the rotation platform is provided with a lifting fixing assembly, and the upper part of the lifting fixing assembly is provided with a tested vehicle. In the testing process, tires of a tested vehicle need to be detached, a vehicle body is supported by the vehicle lifting and fixing assembly and fixed to the parallel shaft load simulation assembly through the vehicle connecting flange, then various dynamic tests can be carried out, and the parallel shaft load simulation assembly reduces errors and improves testing precision in a mechanical transmission mode. Compared with a traditional rotary drum type VTEHIL rack, the parallel shaft load simulation assembly is adopted, so that the test precision is improved, and vehicle dynamics simulation under various working conditions is optimized.

The invention relates to the technical field of highway bridge safety monitoring, and discloses a bridge dynamic weighing algorithm based on a regularization algorithm. According to the method, a penalty term is added into an error function to obtain an axle load calculation formula with a regularization matrix, and the regularization matrix is determined by an axle load covariance matrix and a load response covariance matrix. The method specifically comprises the steps of obtaining influence line distribution through a calibration test; giving an initial regularization matrix to obtain an initial axle weight; calculating a load response covariance matrix based on the influence line distribution, the initial axle load and the measurement noise, and iterating a stable axle load covariance matrix in combination with a preset initial axle load covariance matrix; generating a regularization matrix according to the load response covariance matrix and the updated axle load covariance matrix, and calculating a new axle load; and repeating the iteration process until the axle load update difference value is smaller than a preset value, and finally outputting an axle load result. According to the invention, the axle load identification precision of the bridge dynamic weighing system is effectively improved.

The invention provides a multi-axle vehicle axle load calculation method and device based on finite element simulation, and belongs to the technical field of vehicle design, a vehicle structure model comprising a frame, an axle housing, a suspension support and other components is established, and the components are assembled through rigid connection. Then, a suspension system model comprising a front spring, a rear spring and a tire spring is established, and corresponding rigidity and material attributes are set; by establishing a center-of-mass connection point of a cab, a power assembly and goods and applying corresponding mass, the degree of freedom of a tire spring grounding point is restrained, and gravitational acceleration is applied. And finally, carrying out static analysis on the model after grid division, and calculating to obtain the axle load of each axle by extracting the Z-direction counter-acting force at the tire spring constraint position. According to the method, the complex structure and load distribution of the multi-axle vehicle are simulated, and the axle load calculation precision is improved; reliable load distribution data are provided for the vehicle design stage, and the suspension and frame design is optimized.

1. Name of the product in this design: Dynamic Truck Scale (Axle Load Type). 2. Purpose of this design: For dynamic weighing of automobiles. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

This invention discloses a damage evolution prediction system for heavy-duty traffic asphalt pavement, relating to the field of road engineering technology. The system includes: a data acquisition module for acquiring continuous multi-frame time-series images of pavement cracks, vehicle axle load spectra, and environmental temperature and humidity data; an image processing and spatiotemporal modeling module for performing multi-scale fractal processing and dynamic time warping on the time-series images to calculate the fractal dimension sequence across scales; a material property correlation module for establishing and updating a probabilistic correlation model between fractal dimension and shear modulus in real time using dynamic shear rheometer test data; a multi-physics data fusion module for fusing multi-physics features through a fractal attention network to generate a multi-physics collaborative damage correction factor; and a damage prediction and early warning module for predicting the fractal dimension growth trend using a fractal domain adaptive transfer learning algorithm and outputting a damage evolution early warning based on viscoelastic phase consistency verification results.

The application provides a road surface load analysis method, an electronic device and a medium, and the load analysis method comprises the following steps: determining various transport vehicles of various cargos according to the cargo types, calculating representative axle loads of various axle types of the various transport vehicles, and determining design axle loads; and calculating the cumulative action times of 100KN single-axle design axle loads at critical load positions within a design service life of the road surface; the design axle loads are calculated and determined in combination with different transport vehicle types, total weights of the transport vehicles, axle load coefficients, various axle types and the like, the main vehicle conditions of the road surface can be actually reflected, the accuracy of the road surface load calculation is high, and more accurate design basis can be provided for the road surface design; and according to the load analysis, the double-index traffic load grade grading range of the calculated and determined double-axle design axle loads and 100KN single-axle design axle loads is established, and the problem that the road surface design error is large due to the excessive conversion of the axle loads caused by the serious overload of the transport vehicles can be avoided.

The invention discloses a vehicle dynamic axle load monitoring system considering pavement structure modulus self-adaptive correction, and belongs to the technical field of road monitoring. The invention aims to solve the problem of low axle load identification precision caused by the fact that the existing road dynamic weighing system does not fully consider the influence of road structural modulus and environment temperature and humidity change. Replacing the corresponding layer of the pavement along the pavement layer by using an elastomer; two rows of horizontal strain sensitive elements are arranged in the elastomer, two columns of vertical strain sensitive elements are arranged in each layer, corresponding to the road surface, in the elastomer and in other layers of the deep road surface, and the two columns of vertical strain sensitive elements correspond to a left axle group wheel track belt and a right axle group wheel track belt of a vehicle respectively; a data acquisition system is adopted to acquire mechanical response measurement values of the horizontal strain sensitive element and the vertical strain sensitive element; and identifying the mechanical response measurement value by adopting a data processing system to obtain a vehicle axle load identification result. The method is used for vehicle axle load identification.

The application relates to the field of working machines, discloses an air suspension system, a vehicle chassis and a new energy working vehicle, and the air suspension system and the vehicle chassis can be applied to not only the new energy working vehicle but also a fuel working vehicle, wherein the air suspension system comprises: a guide arm assembly used for supporting an axle and movably connected to the bottom of a vehicle frame; an air spring assembly used for connecting the vehicle frame and the guide arm assembly and comprising an air spring body and a built-in limiting structure arranged in the air spring body; and an external limiting structure used for being arranged at the bottom of the vehicle frame and above the axle, the downward extension length of the external limiting structure at the bottom of the vehicle frame is adjustably arranged, so that the maximum upward jump stroke of the axle can be limited by the external limiting structure and / or the built-in limiting structure. The application can effectively prolong the service life of the air spring assembly, balance the axle loads of the whole vehicle, and improve the driving passability, smoothness and comfort of the whole vehicle under different road conditions.