457 results about "Virtual vehicle" patented technology

The invention belongs to the technical field of multi-target global dynamic production scheduling, and discloses a manufacturing resource dynamic production scheduling data comprehensive processing method, which comprises the following steps: acquiring multi-source heterogeneous data, constructing a field mapping table, constructing an equipment fingerprint database in combination with historical equipment performance data, dynamically adjusting confidence coefficient weight, and further judging an equipment state. Based on an equipment state judgment result, integrating operator report data and multi-source heterogeneous data through a preset rule base trigger event, and generating an abnormal event flow with a context tag; based on the abnormal event type and the equipment state judgment result, a recommendation scheme is constructed through a production scheduling knowledge graph, and a production scheduling instruction set is generated; according to the production scheduling instruction set, generating a local optimization scheme and a global optimization strategy, and forming a final execution scheme; calculating a resource utilization rate and a bottleneck process index through the 3D virtual workshop model, and generating a difference analysis report; according to the method, global resource scheduling and closed-loop iteration are realized, and the production efficiency and the system robustness are improved.

The invention discloses a digital twinning system construction method and system based on flexible job shop scheduling, and relates to the technical field of digital twinning, and the method specifically comprises the steps: constructing a twinning model of a physical workshop according to the production data of the physical workshop; building a workshop scheduling discrete event simulation model based on the twinborn model of the physical workshop; based on an internal and external virtual-real interaction mechanism, virtual-real mapping interaction between the twin model of the physical workshop and the physical workshop and virtual-real mapping interaction between the twin model of the physical workshop and the workshop scheduling discrete event simulation model are realized, and a virtual workshop is generated; data generated in the interaction process is stored in a twin data pool in real time; a workshop service system is constructed based on a three-dimensional visual integration technology, so that a physical workshop and a virtual workshop carry out interactive feedback, and construction of a scheduling digital twin system is completed. According to the method, the self-adaptive capability of the system in the face of complex production tasks is enhanced, and flexible scheduling according to actual conditions is supported.

The invention belongs to the technical field of virtual automobile exhibition, and particularly relates to a virtual automobile exhibition system based on digital twinning. The system comprises a digital twinning construction module which generates a lightweight model and supports first-person visual angle dynamic updating; the user behavior analysis module is used for mapping data such as a sight track into a weighted directed graph, and predicting vehicle types and configuration requirements by using a multi-head graph attention network; the personalized configuration selection module is used for generating a configuration scheme in combination with digital twinborn parameters; the virtual test driving module is used for providing immersive experience based on the configuration scheme and the scene; and the background data analysis module integrates the data to generate a user portrait so as to optimize the exhibition content. According to the system, dynamic virtual-real mapping, accurate demand prediction and data-driven intelligent exhibition are realized, and the user interaction depth and the car purchase efficiency are improved.

The invention relates to a vehicle control method and device, electronic equipment, a vehicle and a storage medium, and the method comprises the steps: obtaining the state information of a steering system and a virtual lane in front of the vehicle in response to the detection of a fault of the steering system of the vehicle; determining a risk value function corresponding to the first area based on the state information and the virtual lane; the first area is a predicted collision avoidance area; determining a target acceleration of the vehicle according to the risk value function and the operation parameters of the vehicle; and controlling the vehicle based on the target acceleration. According to the embodiment, the first area is analyzed by combining the state information of the steering system and the virtual lane in front of the vehicle, the risk value function corresponding to the first area is determined, the target acceleration is dynamically adjusted by introducing the risk value function, the safety redundancy requirements under different working conditions can be met, and the safety of the vehicle is improved. And the flexibility and safety of vehicle control are improved.

The invention belongs to the field of digital twinning simulation, and relates to a digital twinning method and system for a cross-country test field, and the method comprises the steps: collecting multi-source heterogeneous point cloud data and image data of the cross-country test field, and generating a three-dimensional grid model according to the collected data; extracting a ground point set of the multi-source heterogeneous point cloud data by using a ground point iterative segmentation method based on dynamic threshold adjustment; generating a road center line and a geometric parameter evaluation result thereof according to the extracted ground point set; modeling the road center line according to the geometric parameter evaluation result by using an elevation modeling method based on multi-scale interpolation and error compensation to obtain a road surface elevation model; based on the three-dimensional grid model and the road surface elevation model, realizing synchronization of the virtual vehicle and the real vehicle; according to the method, the candidate ground points are extracted through the dynamic threshold value, the number of iterations and the sampling strategy are adjusted according to the candidate ground points, the accuracy and processing efficiency of surface point extraction are improved, and therefore the accuracy and efficiency of road surface elevation model modeling are improved.

The invention discloses a vehicle-road cooperation virtual-real fusion simulation test method, device, equipment and medium, and the method comprises the steps: setting a test event in a virtual simulation environment, generating virtual sensor detection data, sending the data to a cloud control platform, carrying out the fusion processing, generating a standard vehicle-road cooperation message, and issuing the message to a real road side unit, and the real road side unit forwards the message to the real vehicle-mounted unit, the real vehicle-mounted unit analyzes the message, generates a vehicle control instruction and returns the vehicle control instruction to the virtual simulation environment, and the state of the virtual vehicle model is updated according to the vehicle control instruction in the virtual simulation environment and response verification is completed. According to the method, a virtual-real combined vehicle-road cooperation test link is constructed under a unified framework, and a complete closed loop from virtual sensor sensing, cloud fusion processing, roadside forwarding, vehicle-mounted analysis to virtual vehicle response is realized, so that the test coverage rate and controllability of a vehicle-road cooperation function in a complex traffic scene are effectively improved; and the test efficiency and the verification precision are improved.

The invention discloses a pavement flatness measuring method and device, and belongs to the technical field of measurement. The method comprises the following steps: constructing a rigid virtual vehicle model, wherein the rigid virtual vehicle model is provided with a plurality of wheels; acquiring first elevation data of two wheel track bands of a detected lane on the road to be detected; when the rigid virtual vehicle model virtually travels on the wheel track band of the measured lane, multiple pieces of measurement data are acquired; and measuring the pavement flatness according to the plurality of pieces of measurement data. The device comprises a vehicle model construction module, an elevation data acquisition module, a measurement data acquisition module and a flatness measurement module. According to the technical scheme, synchronous monitoring on two sides (two wheel track belts) of elevation changes of the road surface can be achieved, the comprehensiveness and accuracy of flatness measurement are remarkably improved, and the limitation of a traditional single-side wheel track measuring line is broken through.

The invention discloses a low-altitude logistics vehicle-aircraft cooperative configuration and cross-region carrying matching method and system, and belongs to the technical field of low-altitude logistics. According to the method, single-region optimization-gt is adopted; multi-zone vehicle coordination-gt; and a three-level optimization process of cross-region carrying matching of the vehicle-mounted infotainment Single-area parallel optimization ensures local optimization and calculation efficiency, an optimization algorithm is adopted to solve an optimal vehicle and unmanned aerial vehicle number combination for each logistics area, a concept of virtual vehicles is innovatively proposed, and cross-area flexible sharing and optimization of vehicle resources are realized; multi-area vehicles coordinate to integrate resources at a higher level, virtual vehicle demands of a plurality of to-be-optimized areas are combined by using a clustering algorithm, and one actual vehicle meets and pursues global optimal deployment of vehicle resources through cross-area circulation; and finally, processing a refined cooperation problem through vehicle-aircraft carrying matching, dynamically evaluating the cost of the two schemes of unmanned aerial vehicle flying-away carrying and vehicle taking-back carrying for each overload area, and selecting the optimal scheme of unmanned aerial vehicle flying-away carrying and vehicle taking-back carrying.

The invention discloses an intelligent interaction method and system for a vehicle exhibition, electronic equipment and a storage medium, and relates to the technical field of intelligent vehicle exhibitions. The method comprises the following steps: dividing a target vehicle exhibition area into a plurality of independent interaction areas; when an interaction request in a target interaction area triggered by a user exists, a target virtual vehicle is determined based on the interaction request, and each interaction area comprises a plurality of virtual vehicles; collecting an action video of a user in the target interaction area, and determining an action track feature of the user based on the action video; matching the motion track features with a preset motion feature library, identifying an operation intention of the user and generating a corresponding control instruction of the target virtual vehicle; and transmitting the control instruction to a control center of the target interaction area, so that the control center drives the target virtual vehicle to realize independent interaction response. By implementing the technical scheme provided by the invention, the display experience efficiency of the vehicle exhibition can be improved.

The invention relates to the technical field of linear guide rails, in particular to a wheel axle control method and system, and the method comprises the steps: obtaining a target position of a slave axle; setting a virtual wheel shaft as a main shaft and an actual wheel shaft as an auxiliary shaft; the real-time position of the main shaft and the real-time position of the auxiliary shaft are obtained; based on the real-time position of the main shaft and the real-time position of the slave shaft, calculating the position deviation of the slave shaft and the main shaft; acquiring the walking speed of the slave shaft based on the position deviation and the target position; and controlling the slave shaft to move according to the walking speed until the target position is reached. According to the wheel axle control method, the technical problem that the overall operation of the stacker is interrupted due to the failure of the main shaft in the prior art is solved.

The invention discloses a TBOX offline detection system, and relates to the technical field of offline detection. The feedback states of the five groups of indicator lamps are controlled through an ECU, namely, a light 3 is lightened after binding succeeds, a light 5 is lightened after remote shutdown, a light t1 is lightened after first-stage vehicle locking and 2V is displayed by a universal meter, and a light t1 and a light t2 are lightened after second-stage vehicle locking and 0V is displayed; the 279 ECU simulates a vehicle control unit, virtual vehicle number binding and unbinding are input through the cloud platform, and a relay is controlled to switch a power supply. When a vehicle is searched, the buzzer responds, and the rack integrates all the modules to realize physical connection and operation. The detection includes connection initialization, function detection, fault simulation and data storage, and efficiency and accuracy are improved. According to the invention, the detection efficiency is improved through the fast-plug wire harness and an automatic instruction, and the time consumed by a single machine is shortened to 15 minutes or less; errors are reduced through voltage simulation and acousto-optic feedback, and the fault omission ratio is reduced; the real-time evidence storage of the cloud platform ensures the data traceability, supports multi-dimensional retrieval and report generation, solves the problems of low efficiency, large error and difficult traceability of the traditional scheme, and improves the detection reliability and standardization level.

The disclosed system for testing of fleet management software generates virtual assets (e.g., simulations of machinery) that are associated with simulated sensor values. For at least one particular asset in the set, the system generates simulated application programming interface (API) messages. For at least one simulated API message in the simulated API message set, the system parses, from the simulated API message, simulated message data that relates to message flow through integration points. The system generates a visualization that includes an indication of system latency for messages flowing through the integration points. The system latency is determined based on the simulated message data.

The invention discloses a vehicle controller testing method and device and an electronic device, and relates to the technical field of automatic driving. The method comprises the steps that first pose information of a vehicle is acquired, and the vehicle is a vehicle running on a real test road; virtual environment information is injected into multiple sensors of the vehicle, fault signals are injected into the multiple sensors at the target moment, the virtual vehicle is used for simulating the driving state of the vehicle in the virtual scene, and the target moment is the moment when the virtual obstacle executes the dangerous behavior; controlling a vehicle controller to generate an execution decision according to the sensing information of the plurality of sensors after the fault signals are injected and the first pose information; it is determined whether the virtual vehicle safely passes the virtual obstacle based on the execution decision to test the vehicle controller. According to the invention, the technical problem that the stability of the vehicle is insufficient when only a single sensor is tested in the prior art is solved.

The invention provides an automobile display method, system and device and a storage medium, and relates to the technical field of virtual display, and the method comprises the steps: responding to a request that a plurality of terminals access a virtual automobile exhibition hall, distributing a corresponding user role for each terminal, and loading a three-dimensional model and initial parameters of an automobile in the virtual automobile exhibition hall; when a parameter adjustment instruction sent by the first terminal is received, adjusting the three-dimensional model and the initial parameters, and generating a target three-dimensional model and target parameters; the target three-dimensional model and the target parameters are sent to second terminals, when agreement requests sent by a first preset number of second terminals are received, the target three-dimensional model and the target parameters are sent to a third terminal, and parameter suggestion information sent by the third terminal is received; and loading the target three-dimensional model, the target parameter and the parameter suggestion information of the vehicle in the virtual vehicle exhibition hall. The method has the technical effects that a plurality of users can participate in the vehicle purchasing process at the same time, collaborative decision making is realized, and the purchasing efficiency is improved.

The invention discloses a virtual carrier control method and device, a storage medium and electronic equipment. The method comprises the steps that a virtual carrier driven by a virtual character and an intelligent control element are displayed, and the intelligent control element is used for assisting in controlling the virtual character to break away from or continue to drive the virtual carrier in a safe state; under the condition that the intelligent control element belongs to the separation control type, assisting to control the virtual role to be separated from the virtual carrier in a safe state through the intelligent control element; and under the condition that the intelligent control element belongs to the driving control type, assisting to control the virtual role to continuously drive the virtual vehicle in a safe state through the intelligent control element. The technical problem of low control accuracy of the virtual carrier is solved.

A vehicle management system is applied to a battery electric vehicle. The battery electric vehicle includes a simulation mode in which a simulation target is simulated. The simulation target includes at least either of a driving sound of a virtual mobile body and driving characteristics of a virtual vehicle. The vehicle management system includes one or more processors. The one or more processors are configured to calculate driving proficiency of a driver that drives the battery electric vehicle in the simulation mode. The one or more processors are configured to change options for the simulation target according to the driving proficiency.

This vehicle includes a lane keeping assistance system and a control device which controls steering of the vehicle, wherein the control device divides a width of a lane in which the vehicle travels into a plurality of virtual lanes and controls the vehicle so that the vehicle travels in one virtual lane among the plurality of virtual lanes. The control device controls the vehicle so that a traveling position of the vehicle is returned to an inside of the one virtual lane when the vehicle traveling in the one virtual lane is about to deviate from the inside of the one virtual lane.

This application discloses a method for shifting a gear of a virtual vehicle in a virtual environment performed by a computer device. The method includes: displaying, in a user interface, the virtual vehicle in a travel state in the virtual environment; acquiring terminal motion data from a motion sensor in the computer device; determining a tapping operation on a surface of a display of the computer device according to the terminal motion data; and in response to a gear shifting instruction triggered by the tapping operation, performing at least one of upshifting the gear of the virtual vehicle and downshifting the gear of the virtual vehicle according to the gear shifting instruction. The tapping operation is different from a touch operation on a display screen of the computer device, and is independent from the touch operation of a user on the display screen, thus achieving high operation accuracy.

The present disclosure provides a system 102 and a method 700 for predicting damage to a virtual vehicle. The method 700 includes receiving 702 one or more terrain parameters from one or more physical terrain clusters and one or more vehicle parameters and transforming 704 the one or more terrain parameters into a smoothed particle hydrodynamics (SPH) model. The method 700 further includes determining 706 one or more SPH particles based on the transformation and generating 708 one or more digital terrain clusters in a digital environment using the one or more SPH particles.The method 700 further includes generating 710 the virtual vehicle based on the one or more vehicle parameters and performing 712 a collision between the one or more digital terrain clusters and the virtual vehicle to predict 714 damage to the virtual vehicle based on the collision via an artificial intelligence (AI) model.

While operating a host vehicle in a lane of a road, a target vehicle operating in the lane in front of the host vehicle is represented with a virtual vehicle. Upon receiving, from an infrastructure element, operation data describing vehicle operation for the road, acceleration of the target vehicle is predicted based on the operation data. An adjustment to a speed for the virtual vehicle is determined based on the acceleration. The virtual vehicle is updated based on the adjustment to the speed. Upon determining that the virtual vehicle is between the target vehicle and the host vehicle, the host vehicle is operated based on the virtual vehicle.

The invention discloses a single-motor steering wheel force feedback simulation system and method, and relates to the technical field of automobile simulation driving. The defects in the prior art are overcome. The system comprises a simulation control module, a vehicle state acquisition module, a transmission module, a single-motor driving module and a control unit, wherein the simulation control module is used for acquiring steering wheel angle information; the vehicle state acquisition module is used for receiving real-time state data of a virtual vehicle in a simulation environment; the transmission module is used for converting one-way rotary motion of a motor into multi-dimensional force feedback acting on a steering wheel; the method comprises the following steps: acquiring a steering wheel angle theta and running state data of a virtual vehicle in real time; the mechanical response is delayed as lt; 10ms, the road sense is very real; the pure mechanical transmission path is high in efficiency, only one motor is used, and the peak power consumption is far lower than that of a multi-motor system; the performance of the system does not depend on an extremely complex real-time algorithm or an intelligent material sensitive to temperature, the anti-interference capability is high, and the service life is long.

The invention belongs to the technical field of remanufacturing process, and discloses a digital twin-driven reprocessing scheduling optimization method, which comprises the following steps: initializing and generating a reprocessing initial scheduling scheme in a physical workshop, and moving the reprocessing initial scheduling scheme to a third window of a virtual workshop; based on a rolling window mechanism, moving the task which is being reprocessed currently and the task which is about to be reprocessed from the third window to the second window; if it is detected that the emergency task is inserted, all reprocessed tasks in the second window are moved to the first window; moving the emergency task to a second window; based on the target function of minimizing the total cost and the total time, a whale optimization algorithm is adopted for solving, and rescheduling schemes of all tasks in the second window are obtained; and sending the rescheduling scheme to the physical workshop for execution until no task needing rescheduling exists in the third window. According to the method, insertion of emergency tasks is considered, and rescheduling and response efficiency are considered.

The invention discloses a virtual scene information generation method of a vehicle, the vehicle and a storage medium, and the method can comprise the steps: obtaining initial virtual scene information of the vehicle, the initial virtual scene information being used for rendering an initial virtual scene, and the initial virtual scene being used for simulating a real scene of the vehicle in a historical time period; generating a virtual driving track of a virtual vehicle in the initial virtual scene based on the first historical driving data of the vehicle and the second historical driving data of the target reference object; based on the virtual driving track, at least one first target virtual object is generated, and the first target virtual object is used for simulating an object colliding with the virtual vehicle; and updating the initial virtual scene information by using the first target virtual object to obtain target virtual scene information of the vehicle. The technical problem that the generation efficiency of the virtual scene of the vehicle is low is solved.

The invention relates to a motion planning method and device, a robot, a readable storage medium and a program product. A kinematic model corresponding to a chassis is generated based on chassis state information and virtual wheel information corresponding to wheel sets, and the speed and angle of each virtual wheel are not associated; and acquiring motion constraint information of the chassis, and performing motion planning on the chassis according to the kinematic model and the motion constraint information. Compared with a traditional method that motion planning is conducted by switching between a double Ackerman steering mode and an oblique moving mode, the method has the advantages that the limitation that all wheels in the chassis must rotate in the same angle and opposite directions is relieved, multiple pieces of virtual wheel information are constructed, the kinematics model is generated in combination with the chassis state information and the virtual wheel information, and the motion planning accuracy is improved. And motion planning is performed on the chassis by combining the kinematics model and the motion constraint information of the chassis, so that the operation efficiency of the chassis is improved.

The invention relates to a vehicle (1) with at least one driver assistance system for carrying out movement processes of the vehicle (1). The invention provides that, during a movement process of the vehicle (1) carried out by a driver assistance system, the vehicle (1) is represented in an environment model (7) as a virtual vehicle (8) on a display device (3) in the interior (2) of the vehicle (1). Here, the virtual vehicle (8) in the environment model (7) on the display device (3) is characterized as a control element (15) that can be operated by a user (5). The respective movement process of the vehicle (1) carried out by a driver assistance system can at least be initiated by an operating action performed by the user (5) for the virtual vehicle (8) in the environment model (7) of the vehicle (1) displayed on the display device (3).

The invention provides a two-dimensional formation composite sliding mode control method under an explicit convergence time limit, and relates to the technical field of automatic driving cooperative control. The method comprises the following steps: firstly, acquiring real-time motion state information of a pilot vehicle and N following vehicles, and establishing a third-order nonlinear dynamic model of each following vehicle; calculating a tracking error of the following vehicle based on the virtual vehicle strategy; dynamically processing the predetermined performance constraints; constructing a composite finite time sliding mode surface of a layered structure, and determining a total execution time limit required by convergence of all monitoring signals in the two-dimensional vehicle formation control system from an initial deviation state to a predefined steady state region; and finally, on the basis of the composite finite time sliding mode surface, an external disturbance boundary is estimated online in combination with an adaptive control algorithm, a control instruction is generated, and a monitoring signal is forced to reach a steady state in an explicit time upper boundary. The method provides a visual performance estimation means for practical engineering application, and improves the stability, rapidity and accuracy of two-dimensional formation control.

The invention discloses an automobile collision performance evaluation system based on virtual reality, and relates to the field of data processing, the system comprises an evaluation center, the evaluation center is in communication connection with a model acquisition module, a virtual test module, a virtual evaluation module and a result display module; the model acquisition module is used for acquiring an automobile test model of a target automobile; the virtual test module is used for carrying out a virtual automobile collision test based on the obtained automobile test model and carrying out data acquisition on a corresponding collision test process to obtain corresponding automobile collision data and human body injury data; the virtual evaluation module is used for evaluating the automobile collision performance according to the obtained automobile collision data and human body injury data to obtain a corresponding evaluation result; the result display module is used for taking corresponding performance optimization measures according to the obtained evaluation result and displaying a corresponding collision test process; according to the invention, efficient and accurate evaluation of the collision performance of the automobile is realized.

The invention provides a car friend social contact method and system based on a virtual license plate number and a vehicle position, and relates to the technical field of car networking social contact. A unique mapping virtual license plate number is generated by collecting a driving license and a real license plate number, and the virtual license plate number is kept effective before logout; encrypting, storing and transmitting the mapping relation and the sensitive field related to the user identity, and meanwhile, fuzzifying the vehicle position according to preset precision into spatial unit expression; when the conditions of parking or arriving at the electronic fence are met, vehicle operation parameters are collected and uploaded to the fuzzification position; performing multi-dimensional matching in combination with the virtual license plate number, the fuzzy position, the vehicle authentication information and the interest tag to generate candidate social contact objects; virtual license plate display, instant message and temporary group creation are controlled according to a hierarchical social permission mechanism, and encryption and fuzzification strategies are maintained in the whole process. According to the invention, efficient and personalized car friend social contact is realized, and meanwhile, user privacy and system security are guaranteed.

The invention relates to a vehicle steering wheel control method and device, a vehicle and a storage medium, and the method comprises the steps: responding to a game starting instruction of a first object, and starting a game mode under the condition that the vehicle meets a first preset condition; determining a target virtual rack force according to the obtained actual operation parameters of the vehicle and virtual operation parameters of the virtual vehicle in the game mode; determining a steering feedback torque of the steering wheel and a vibration feedback torque of the steering wheel based on the actual operation parameters, the virtual operation parameters and the target virtual rack force; and controlling a steering wheel of the vehicle to output steering feedback torque and vibration feedback torque. The target virtual rack force is calculated by combining the actual running state and the virtual running state of the vehicle, and the steering feedback torque and the vibration feedback torque are generated based on the rack force and the running parameters, so that accurate control over the steering wheel is achieved.

The invention relates to the technical field of linear guide rails, in particular to a wheel axle control method and system, and the method comprises the steps: obtaining a target position of a slave axle; setting a virtual wheel shaft as a main shaft and an actual wheel shaft as an auxiliary shaft; the real-time position of the main shaft and the real-time position of the auxiliary shaft are obtained; based on the real-time position of the main shaft and the real-time position of the slave shaft, calculating the position deviation of the slave shaft and the main shaft; acquiring the walking speed of the slave shaft based on the position deviation and the target position; and controlling the slave shaft to move according to the walking speed until the target position is reached. According to the wheel axle control method, the technical problem that the overall operation of the stacker is interrupted due to the failure of the main shaft in the prior art is solved.