17543 results about "Rolling chassis" patented technology

A system to transport infant children is provided. The system includes a base configured to be secured to a portion of an automobile; a chassis independent from the base; a first release mechanism releasably coupling the chassis to the base; an infant car seat independent from the base and the chassis; a second release mechanism releasably coupling the infant car seat to the chassis; wherein the chassis and the infant car seat are releasable from the base as a combined unit upon operation of the first release mechanism; and wherein the infant car seat is releasable from the combined unit of the base and chassis upon operation of the second release mechanism.

An electrified fire fighting vehicle includes a chassis, a front axle coupled to the chassis, a rear axle coupled to the chassis, a water pump, an energy storage system, an engine, an electric motor coupled to the engine and the energy storage system, and a power divider positioned between the electric motor, the water pump, and the rear axle. The power divider facilitates selectively driving the water pump and the rear axle with the engine and the electric motor.

The invention relates to a dynamic load distribution method, device and equipment based on a vehicle body controller and a medium, and the method comprises the steps: collecting the mechanical load, electrical load and thermal load data of a vehicle body in real time through a distributed sensor network, and generating multi-source heterogeneous initial load data; performing standardization processing on the initial load data, and constructing a three-dimensional data cube type standard load data set; comprehensive characterization features are extracted through feature space mapping, and a fusion load feature set containing a threshold range is dynamically generated in combination with historical data; constructing a load correlation model based on the fusion features, and mapping to generate a steering and braking control parameter combination; and according to the real-time load threshold cross-border state, dynamically adjusting the task priority, allocating real-time calculation core resources to the chassis system, and generating an optimal allocation scheme. According to the method, the problems of multi-source load data fusion failure, resource allocation rigidity and safety task response delay in the prior art are solved, and dynamic load optimization of the vehicle body control system under complex working conditions is realized.

The invention relates to the technical field of robot intelligent control, in particular to a humanoid robot multi-modal environment sensing and self-adaptive chassis control method, which comprises the following steps: monitoring a contact force vector and a sliding trend in real time through a multi-dimensional touch sensor, mapping pose drift to a chassis coordinate system based on a Lie group constraint space-time synchronization layer, and performing multi-modal environment sensing and self-adaptive chassis control on the basis of a multi-dimensional touch sensor; a compensation vector is generated, a three-level tactile response layer dynamic switching force / bit mixed impedance mode is adopted, reverse translation of an omnidirectional chassis is combined to counteract drift, compensation parameters are optimized through a depth deterministic strategy gradient algorithm, and the system ensures control instruction time sequence alignment through a time-space stamp synchronization engine. The attitude oscillation in the compensation process is suppressed by using the inertial measurement unit, the obstacle avoidance interference domain is constructed based on the kinematics chain of the operation arm, and the compensation trajectory is smoothed by using the B-spline curve, so that the precision, stability and safety of the humanoid robot in the complex contact operation are improved, and an efficient and reliable solution is provided for a man-machine cooperation scene.

The invention relates to the technical field of automobile chassis simulation, and discloses an automobile chassis mechanism simulation optimization method based on digital twinning. The method comprises the following steps: firstly, acquiring a real-time operation data set of an automobile chassis mechanism, including multi-axis acceleration time sequence information, a suspension displacement monitoring sequence and the like, and synchronously transmitting the real-time operation data set to a cloud digital twin platform; constructing a hierarchical digital twin model comprising a suspension subsystem node, a steering mechanism node and a connecting component spatial constraint relation in the platform according to a chassis topological structure; performing multi-physics field feature extraction on the real-time operation data set to generate a chassis multi-physics field data set; executing multi-scale joint simulation calculation based on the model and the data set, and outputting a chassis dynamic response prediction result including fatigue damage distribution of the key connecting piece and the like; and finally, generating an optimization parameter adjustment instruction set according to the result, combining and feeding back to a physical chassis execution mechanism. According to the method, the real-time performance and precision of chassis simulation optimization are realized, and the chassis performance is improved.

A dynamic traffic environment-oriented multi-lane driving decision-making method based on reinforcement learning, comprising: using state space, action space, and trajectory sampling information in a multi-lane driving decision-making scenario to establish a decision-making neural network model; using a comprehensive reward function to perform reinforcement learning training on the decision-making neural network model; continuously and deeply sensing the surrounding environment by means of a sensor array with which a vehicle is equipped, and capturing sensed environment information; inputting the sensed environment information into the decision-making neural network model, and, on the basis of current environment information, the decision-making neural network model predicting a vehicle trajectory and a recommended driving operation within a period of time; and converting the recommended driving operation outputted by the decision-making neural network model into a specific control instruction, and sending the instruction to a drive-by-wire chassis and an actuator of the vehicle.

A vehicle includes a chassis including a first frame rail and a second frame rail, a tractive element coupled to the chassis, a drive motor configured to drive the tractive element to propel the vehicle, and an energy storage system. The energy storage system includes a first battery module and a second battery module. The energy storage system is selectively reconfigurable between (a) a first configuration in which the first battery module and the second battery module each provide electrical energy to the drive motor and (b) a second configuration in which the first battery module is removed from the vehicle and the second battery module provides electrical energy to the drive motor.

A modular system for drones is provided. A chassis can include a coupling mechanism operable to removably couple the chassis with a drone. A plurality of modular components can be operable to be interchangeably coupled with a control component. The modular components can be operable to be detachably coupled with a payload.

A structural element for a motor vehicle chassis, particularly a chassis of an electrically powered motor vehicle, includes at least two securing sections and a central section which connects the two securing sections. Each securing section can be secured to an outer surface of a motor mounting element of the chassis and / or to an outer surface of a longitudinal member of the chassis.

The invention provides an intelligent spraying composite robot system based on a large language model and a method thereof, and relates to the field of intelligent robots and automatic spraying, the intelligent spraying composite robot system comprises a chassis, a mechanical arm, a spraying gun, a camera, an instruction receiver and a controller; a mechanical arm and an instruction receiver are carried on the chassis; spray guns and cameras are mounted on the mechanical arms; the instruction receiver receives a natural language voice instruction, analyzes semantics through a large language model, and generates an action instruction; the controller comprises a motion control module, a three-dimensional point cloud data acquisition module, a feature point extraction module, a track planning module and a spraying operation module; the method improves the man-machine interaction, reduces the use threshold of the robot, is easy to operate, gives play to the spraying advantages of the composite robot, does not need to program in mainstream offline simulation software, can generate a spraying path with adjustable and controllable parameters only by collecting the point cloud template of the workpiece and selecting the feature points, and can be widely applied to furniture, furniture and the like. And spraying operation in the fields of automobiles, aerospace and the like.

The invention provides a vehicle anti-skid control method, device and system and a vehicle. According to at least one driving wheel of the vehicle, the chassis wheel speed, the actual wheel speed, the wheel end actual torque, the adhesion coefficient, the total wheel load, the target slip rate, the wheel radius and the vehicle speed are obtained; a feedforward control torque is determined according to an attachment coefficient, a total wheel load and a wheel radius, a wheel speed deviation is determined according to a target slip rate, a chassis wheel speed and an actual wheel speed, a torque deviation is adjusted through a vehicle speed, the attachment coefficient and the wheel speed deviation to obtain a feedback control torque, and the feedback control torque and the attachment coefficient are superposed to serve as an output torque for vehicle anti-skid control. Dynamic wheel load changes and wheel load changes caused by the vehicle on the ramp road surface are considered, the total wheel load is estimated in real time, feed-forward control is introduced to obtain the feed-forward control torque, feedback control is compensated, and the stability and accuracy of anti-skid control are enhanced when the ramp road surface and the loads change.

The invention provides a ship surface spraying device. The ship surface spraying device comprises a lifting driving source, a lifting transmission mechanism, a movable walking chassis assembly, a plurality of equipment rooms, a tower, a control tower capable of being installed on the tower in an up-down moving mode, a telescopic arm capable of stretching out and drawing back horizontally and spraying equipment. The walking chassis assembly comprises a walking chassis and a pair of driving wheels installed on the walking chassis in the walking direction perpendicular to the walking chassis, each driving wheel comprises a walking driving source installed on the walking chassis and a rotatable driving wheel body, and the walking driving sources are in transmission connection with the driving wheel bodies. The walking driving sources of the two driving wheels are mutually independent; the multiple equipment rooms, the lifting driving source and the tower are all fixedly installed on the top of the walking chassis, the lifting driving source is in transmission connection with the control tower through the lifting transmission mechanism, the inner end of the telescopic arm is installed on the control tower, and the spraying equipment is installed at the outer end of the telescopic arm. According to the spraying equipment, automatic spraying operation on the outer surface of the ship is achieved, and the spraying efficiency is high.

A composite superstructure of a straddle-type vehicle, such as a snowmobile, formed from a fiber reinforced polymer and extending from a forward section coupled to a forward portion of a chassis of the vehicle to a rearward section coupled to a rearward portion of the chassis, where the superstructure defines at least one steering post mount configured to couple with a portion of a steering assembly of the vehicle.

The invention relates to equipment and a method for water-guided laser collaborative forcible entry of a reinforced concrete pile head based on artificial intelligence recognition, and belongs to the technical field of forcible entry equipment. Comprising a mobile chassis; the rack is mounted on the movable chassis; the water jet system is mounted on the rack and is provided with a first working part; the mechanical drill bit system is mounted on the rack and is provided with a second working part; the identifying and positioning module is used for collecting real-time data of a three-dimensional structure, steel bar distribution and a forcible entry area of the pile head; and the control unit is in communication connection with the identifying and positioning module, the water jet system and the mechanical drill bit system, and the control unit receives data of the identifying and positioning module to generate a forcible entry strategy and a mechanical drill bit path plan so as to guide the first working part and the second working part to cooperatively work. The technical problems that in the prior art, impact force of water jet forcible entry is limited, and the forcible entry efficiency of a hard core layer and a complex forcible entry environment is not high are solved.

The invention discloses a chassis coordination control method and system based on tire side deviation state evaluation, and relates to the technical field of four-wheel steering four-wheel drive vehicle dynamics control. The method comprises the steps that an expected front wheel rotation angle is determined based on an expected steering wheel rotation angle input by a driver, and a front wheel rotation angle is determined; further determining a feed-forward front wheel steering angle, a feed-forward rear wheel steering angle and an additional yaw moment based on feed-forward control and feedback control, determining a first tire slip angle and a second tire slip angle based on a road adhesion coefficient, and further determining a wheel torque control weight, a feedback front wheel steering angle control weight and a feedback rear wheel steering angle control weight; and further determining a driving yaw moment, a feedback front wheel steering angle and a feedback rear wheel steering angle, determining a total longitudinal force based on an expected longitudinal acceleration input by a driver, and performing four-wheel torque distribution based on the total longitudinal force and the driving yaw moment to obtain a four-wheel driving torque. The driving stability of the vehicle under the limiting working condition can be improved.

Disclosed is a film sticking device. The film sticking device includes an upper cover, a base and an inner tray, the upper cover is movably connected to a side of the upper cover; the inner tray includes a chassis and a limiting frame provided at the chassis, the limiting frame encloses a receiving groove on the chassis, an inner wall of the limiting frame is provided with a limiting step configured for installing a screen protection film, a positioning notch and a pulling notch are respectively provided at two opposite sides of the limiting frame; and the inner tray is detachably installed at the base, and the upper cover is configured to cover the receiving groove.

The invention discloses an automobile chassis lightweight structure design method based on topological optimization, and relates to the technical field of lightweight design. Constructing a macro-micro coupling model, and simulating and quantifying material parameter fluctuation by using Monte Carlo; establishing a rigid-flexible coupling multi-body dynamic model, simulating working conditions such as braking and turning, and generating a load spectrum by using a rain flow counting method; constructing a multi-objective function containing light weight, rigidity and modality, and solving manufacturing constraints such as pattern draft and the like by using an NSGA-II (Non-dominated Sorting Genetic Algorithm-II) algorithm; dividing steel, aluminum and carbon fiber material domains; and fusing bench test data to correct the model. According to the method, multi-scale collaborative optimization is realized, dynamic loads are accurately mapped, and light weight and performance are balanced; the connection reliability is improved through the multi-material gradient design; manufacturability is ensured through feature recognition and process verification; the batch consistency is guaranteed by digital twinning and robustness optimization; the chassis design efficiency and quality are integrally improved, and the service life is prolonged.

The invention relates to the technical field of orchard automatic navigation deviation correction, in particular to an automatic navigation deviation correction system for an orchard track power platform. Comprising a chassis, a vehicle control unit, a navigation system vehicle-mounted computer, a laser radar, a navigation control box, a navigation antenna, a steering motor, a differential planetary mechanism, a rotating speed sensor, an edge architecture control box, a driving wheel assembly, a servo valve and a steering pump. The mode that the whole vehicle controller regulates and controls the servo valve to conduct deviation rectification is adopted, the deviation rectification response speed is high, the control precision is high, the high-speed operation working condition of the orchard power platform can be adapted, and the operation efficiency is improved; the swash plate plunger steering pump is adopted to drive the steering motor, the driving power is small, the heat balance stability is good, and the cost is low; the differential steering mechanism is adopted as a deviation rectifying executing mechanism, the transmission efficiency of the power platform is not affected, the steering line type is controllable, steering is stable, the overcorrection phenomenon is effectively avoided, the automatic navigation operation precision is effectively improved, and the automatic navigation deviation rectifying stability of the orchard power platform is improved.

Lift equipment includes a chassis, a prime mover, multiple wheels, a lift platform, and a scissor stack assembly. The scissor stack assembly includes a first scissor cross, a second scissor cross, a third scissor cross, and an actuator. The first scissor cross is coupled to the chassis and has first links of a first link length. The second scissor cross is coupled to the lift platform and has second links of a second link length. The third scissor cross is coupled between the first scissor cross and the second scissor cross and has third links of a third link length. The actuator is coupled to the prime mover and is configured to transition the scissor stack assembly between a retracted position and an extended position. The first link length is different than at least one of: (i) the second link length or (ii) the third link length.

A refuse vehicle includes a chassis including a plurality of rails, a front and rear tractive assemblies coupled to the chassis, and a battery assembly. The battery assembly is coupled to the chassis between the front and rear tractive assemblies. The battery assembly includes a battery housing, a mounting assembly, and a support. The mounting assembly is coupled to the battery housing and the plurality of rails. The mounting assembly includes a isolator configured to stabilize the battery assembly. The support is positioned within the battery housing and extends along a midpoint of the battery housing. The isolator absorbs horizontal and vertical impact forces introduced to the battery assembly.

The invention relates to the field of drainage pipe scale cleaning, and discloses a high-speed tunnel drainage pipe scale cleaning robot device and a method thereof.The high-speed tunnel drainage pipe scale cleaning robot device comprises a chassis, a robot body and a multi-degree-of-freedom mechanical arm, the robot body is arranged on the chassis, and the multi-degree-of-freedom mechanical arm is arranged on the robot body; the grinding device is installed at one end of the multi-degree-of-freedom mechanical arm, the visual detection structure is arranged on the multi-degree-of-freedom mechanical arm and serves as an eye of the robot body, the multi-degree-of-freedom mechanical arm and the angle adjusting structure are matched, the angle can be automatically adjusted, the view field range is larger, and the working distance is longer.

A recreational vehicle includes a power source, a first electrical junction box, a second electrical junction box, a chassis power subsystem, and a recreational vehicle (RV) power subsystem. The first electrical junction box is electrically coupled between the power source and the second electrical junction box, the first electrical junction box is electrically coupled between the power source and the chassis power subsystem, and the second electrical junction box is electrically coupled between the first electrical junction box and the RV power subsystem.

The invention discloses a light passenger car chassis steering stability self-adaptive control method, which comprises the following steps of: collecting multi-dimensional working condition parameters in real time, and covering 12 types of key parameters such as a steering wheel rotating angle and a wheel speed; after preprocessing and abnormity diagnosis, double models are adopted to estimate the dynamic state of the vehicle in parallel; dynamically setting a control target, and realizing personalized control in combination with driver style recognition; the control quantity is optimized through multi-mode strategy dynamic switching and steering and braking system cooperative control; and actuator dynamic compensation, scenarized self-learning and multi-stage fault handling mechanisms are introduced. According to the method, the complex working condition adaptability is improved, the response speed is controlled, the subsystem cooperation efficiency is improved, the system robustness and the long-term use performance are enhanced, and the driving safety of the light bus is effectively guaranteed.

The invention discloses a double-closed-loop cooperative control method of a direct-drive electric chassis and a power system, relates to the technical field of power control of electric special vehicles, and provides a rotating speed and torque double-closed-loop cooperative control architecture, and realizes double-core real-time cooperative operation and dynamic optimization of motor output characteristics through a 32-bit processor. A direct-drive transmission structure is combined, a traditional speed reduction device is omitted, a flat wire motor directly drives a rear axle through a transmission shaft, and a four-in-one controller is matched, so that the system loss is reduced by 33%, and the power density is improved by 15%; on the basis of real-time temperature / electric quantity data of a lithium iron phosphate battery management system, control parameters are adaptively adjusted, and the bottleneck of performance attenuation in a low-temperature environment of-35 DEG C is broken through; and a high-voltage interlocking and insulation monitoring module is integrated, and an emergency hydraulic system is automatically switched when an electrical fault occurs, so that multi-stage safety guarantee is formed. According to the technology, the energy recovery efficiency is remarkably improved by 20%, and the wind resistance stability and the extreme environment reliability are effectively enhanced.

An energy storage arrangement for a vehicle, the energy storage arrangement comprising a first energy storage module comprising a first surface, and at least one hook member arranged on the first surface, and a second energy storage module comprising a first wall and a second wall, the first and second walls being transversally offset from each other, and a first chassis connecting member arranged on the first wall, wherein the second energy storage module is suspendable to a frame of the vehicle by the first chassis connecting member, wherein the at least one hook member is hooked on a portion of the first wall of the second energy storage module to suspend the first energy storage module to the second energy storage module.

The invention discloses a 12-axis PCB drilling machine AGV path planning system with an intelligent obstacle avoidance function, and relates to the technical field of path planning, a first machine learning model of an AGV chassis steering angle and a first machine learning model of a mechanical arm shaft joint angle are obtained through training according to historical AGV operation parameters and simulated workshop operation parameters; identifying ground flatness compensation, vibration compensation, gravity center shift compensation and light influence compensation according to the real-time workshop parameters, determining a proportionality coefficient by using an optimal sequence diagram method, and further determining a second machine learning model; and a control instruction for AGV chassis steering and mechanical arm joint movement is generated based on the second machine learning model. Through multi-source data fusion, a dynamic compensation mechanism and machine learning optimization, the accuracy, the obstacle avoidance capability and the system robustness of path planning are improved, and efficient and safe execution of a PCB drilling task is ensured.

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

A chassis frame welding apparatus with a turning-over function comprises a welding device (1), a support frame (2), and two rotating supporting apparatuses, wherein the support frame is located between the two rotating supporting apparatuses; the welding device is disposed adjacent to the support frame; and each rotating supporting apparatus comprises a lifting device (4), a rotating device (5) and a clamping device (6), the rotating device comprising a rotating shaft (51), a one-way bearing (52), a first gear (53), and a first toothed plate (10). The chassis frame welding apparatus is provided with the one-way bearing and the first gear, which fits with the first toothed plate, and during the process in which the lifting device is used to lift by means of the rotating device and the clamping device a workpiece to be separated from the support frame, the first gear interacts with the first toothed plate, and the rotating shaft is then driven by means of the one-way bearing to rotate by 180 degrees; thus, the spacing between the workpiece and the support frame is adjusted by means of the lifting device, and the turning over of the workpiece under driving is completed, without providing a plurality of driving systems, thereby simplifying a turning-over supporting apparatus.

A computer mouse comprising a chassis, a support beam with a first end configured to receive and secure a removable keyplate and a second end opposite the first end, and a keyswitch coupled to the chassis in an inverted configuration. In operation, the second end portion of the support beam moves up and contacts the keyswitch as the first end of the support beam is moved down. The keyswitch module may be operable to be coupled to the chassis at a plurality of different coupling locations, each coupling location operable to cause the second pressing force on the keyswitch to increase or decrease based on a distance from the keyswitch to the fulcrum. The keyplate can be non-destructively removeable from and couplable to the support beam without disassembly of the housing. The keyswitch can be non-destructively removeable from and couplable to the chassis without disassembly of the housing.

The invention discloses an unmanned vehicle environment perception and obstacle avoidance control method in a complex dynamic scene, relates to the technical field of unmanned vehicle positioning and navigation, and is used for solving the problems of low positioning accuracy, low stability, poor real-time response capability and the like in a dynamic complex environment in an existing method. The method is specifically achieved through an unmanned vehicle environment sensing and obstacle avoidance control system, the unmanned vehicle environment sensing and obstacle avoidance control system is provided with a sensor module, a vehicle-mounted computer module and a chassis control module, and the vehicle-mounted computer module is connected with the sensor module and the chassis control module. The sensor module is provided with a solid-state laser radar, a multi-line mechanical laser radar and an inertial measurement unit which are installed on the unmanned vehicle, and the chassis control module is provided with an accelerator and brake calibration meter and a driving execution unit. The method has the advantages that the positioning accuracy, stability and real-time response capability of the unmanned vehicle in a dynamic complex environment are effectively improved.