211results about How to "Improve driving efficiency" patented technology

The invention relates to the technical field of automatic driving, in particular to an automatic driving vehicle management method and system, electronic equipment and a storage medium. The method comprises the following steps: firstly, automatically identifying and classifying a current driving scene based on vehicle real-time data, and selecting a most suitable driving strategy from a preset strategy library; then, map data are optimized in real time to reflect the current road condition; then predicting future trajectories of surrounding dynamic objects; planning a safe bypass path according to a prediction result; and finally, generating a corresponding vehicle control instruction. The system can adapt to complex and changeable driving environments, can improve the driving efficiency on the premise of guaranteeing the safety, and remarkably improves the intelligent level and practicability of an automatic driving system.

The invention discloses an automatic driving vehicle highway intelligent lane changing method based on reinforcement learning, which optimizes a highway automatic driving decision strategy by designing an improved Huber regularization reward threshold adaptive double depth Q network (HRA-DDQN) framework. The method comprises the following steps: firstly, constructing a state space and an action space to describe dynamic behaviors of a vehicle, and introducing a comprehensive reward function based on safety, efficiency and lane changing requirements; secondly, through a dynamic target network updating mechanism triggered by reward differences, the adaptability of the model to traffic environment changes is improved; and finally, introducing a hybrid loss function combining Huber loss and L2 regularization to enhance the robustness and generalization ability of the model. Simulation results show that the driving efficiency and safety of the automatic driving vehicle in the expressway scene are remarkably improved, the collision rate is reduced, the stability of lane changing decision making is optimized, and the method is suitable for the complex and changeable expressway traffic environment.

The invention discloses a motor with heat pipe integrated arc-shaped radiating fins, and relates to the technical field of motors. In order to solve the problems that in the long-time operation process of an existing motor, due to the fact that internal assemblies such as a winding and an iron core generate a large amount of heat, straight-strip-shaped or blade-shaped cooling fins are adopted, the cooling effect is poor, the motor is overheated, and then the driving efficiency of the motor is reduced. A plurality of arc-shaped heat dissipation fins are evenly arranged on the outer surface of a shell in the circumferential direction, each arc-shaped heat dissipation fin comprises a channel, an evaporation section and a condensation section, the condensation section is in an arc shape, the evaporation section and the condensation section are connected end to end, the channels are machined in the evaporation section and the condensation section in the length direction, the surface area is increased through the arc-shaped heat dissipation fins, and the heat dissipation efficiency is improved. The air flow path is optimized, the heat pipes are arranged in the channels in the arc-shaped heat dissipation fins, heat on the surface of the shell is better transmitted to the outer sides of the fins through the heat pipes, heat transmission is accelerated, and the temperature rise of the motor during working is effectively reduced. The invention is suitable for the field of motor heat dissipation.

The invention relates to a non-signal-control intersection networked vehicle ecological driving method based on deep reinforcement learning. The method comprises the following steps that 1) a deep reinforcement learning algorithm is coupled with a microscopic traffic flow model to drive a strategy module to generate traffic flow features; the vehicle cooperative control collision avoidance strategy module adjusts the speed and path of the vehicle; the ecological driving strategy module calculates instantaneous energy consumption and carbon emission of the vehicle; 2) through input and feedback of the three modules, a deep reinforcement learning coupling model cooperative control module obtains three function modules of ecological energy saving, high efficiency and safety and driving comfort award; 3) forming a multi-stage multi-target reward function module; 4) the traffic scene module simulates a real traffic environment; and 5) calling data of the multi-stage multi-target reward function module and the traffic scene module by the main function module, and finally outputting a non-signal-control intersection automobile automatic driving strategy. Through the synergistic effect of all the modules, self-adaptive ecological driving can be realized in a complex dynamic traffic environment.

The invention provides a vehicle control method, electronic equipment and a vehicle, and is applied to the technical field of vehicle intelligent control, and the method comprises the steps: obtaining the positions and the driving directions of all vehicles in a vehicle team, and determining a leading vehicle of the vehicle team and a following vehicle of the leading vehicle based on the positions and the driving directions; in response to determining that the vehicle is a pilot vehicle, determining a pilot road section according to driving information of the pilot vehicle, and sending the driving information and the pilot road section to a following vehicle; in response to the fact that the vehicle is determined to be the following vehicle, target driving parameters are determined according to driving information sent by the navigation vehicle, the following vehicle is controlled to pass through the navigation road section based on the target driving parameters, and the target driving parameters are the lowest required driving parameters allowing the following vehicle to pass through the navigation road section. According to the invention, the overall driving efficiency of the motorcade is improved, and the vehicle driving risk and failure rate are reduced.

The invention discloses a route planning method and device based on endurance mileage, terminal equipment and a storage medium, and can directly generate a driving route of a vehicle according to the current position of the vehicle and a destination selected by a user when the electric quantity is sufficient and a planned route is met; if the electric quantity of the vehicle cannot meet the driving requirement of the planned route, the nearby charging station list can be continuously updated according to the real-time position of the vehicle in the driving process of the vehicle, so that a user can select the nearest charging station for charging based on the latest position information; and a second driving route corresponding to the vehicle can be generated according to the target position of the vehicle and the target charging station selected by the user. When the electric quantity of the vehicle is insufficient, the information of the nearest charging station can be automatically screened out for the user to select, and the user is guided to go to the charging station for charging, so that the risk that the vehicle cannot continue to run due to the too low electric quantity is reduced, and the running safety is improved.

The invention provides a train operation adjusting method and device in a rain and snow mode. The method comprises the steps that a target running gear of a next whole-line train in the rain and snow mode is obtained; wherein the rain and snow mode comprises a plurality of driving gears, and different driving gears correspond to different train operation data; predicting an operation plan of the train according to the target driving gear based on a train operation adjustment model to obtain a target operation plan so as to guide the train to operate in a rain and snow mode; the train operation adjustment model is constructed by taking the arrival time of each train, the departure time of each train and the running gear of each train as state variables and taking the minimum passenger riding waiting time and the minimum train operation cost as objective functions; the train operation cost comprises train energy cost and train maintenance cost. According to the method, the driving efficiency and safety of the whole-line train in the rain and snow mode are improved.

The invention belongs to the technical field of robots, and discloses a single-drive double-guide hanging rail inspection robot suitable for curved rail operation, the single-drive double-guide hanging rail inspection robot comprises a base, a hanging bracket, a mounting bracket, a driving assembly, a limiting elastic piece and a plurality of guide assemblies, the hanging bracket is rotatably connected to the base; the mounting bracket is movably connected to the suspension bracket; the driving assembly is rotationally connected with the suspension bracket and the mounting bracket; the limiting elastic piece is used for pushing the driving wheel of the driving assembly to abut against the track; the guide assembly is in sliding fit with the rail. When the inspection robot runs, the friction force between the driving wheels and the tracks can be kept uniform, the overall energy consumption is effectively reduced, the driving efficiency is improved, meanwhile, the abrasion of the driving wheels can be reduced, the service life of the driving wheels is effectively prolonged, the inspection robot can smoothly pass through the tracks with various curvatures, and the service life of the inspection robot is prolonged. And moreover, the overall composition structure is simple, and the manufacturing cost and difficulty of the inspection robot are effectively reduced.

The invention discloses a vehicle-mounted camera shooting management method and system, and particularly relates to the technical field of image communication, and the system comprises an intelligent image collection processing module which is used for synchronously collecting high-quality image data through a plurality of cameras and carrying out the preprocessing of the image data, and a vehicle-mounted camera shooting management module which is used for carrying out the real-time analysis and recognition of the collected image data, and the real-time image analysis and identification module is used for extracting useful information and providing real-time feedback according to an analysis result. Through efficient image acquisition, real-time analysis, data management and intelligent auxiliary driving functions, the driving safety, the driving stability and the data management efficiency are remarkably improved. The system utilizes a multi-camera synchronization technology and a convolutional neural network denoising algorithm to ensure that high-quality images are captured in various environments, and a dynamic range adjustment module optimizes the image quality under different illumination conditions.

The invention provides an automatic driving 3D operation scene generation method based on aerial view perception. The method comprises the following steps: collecting a multi-source data set of the self-driving automobile through a plurality of sensors, wherein the multi-source data set comprises visual information and distance information; generating a three-dimensional aerial view model of the autonomous vehicle according to the visual information and the distance information; and using the three-dimensional aerial view models at all moments to form a 3D operation scene based on aerial view perception of the self-driving automobile. According to the method, the spatial relation in a complex environment is considered, the automatic driving system can recognize surrounding road conditions, personnel flow and potential obstacles by researching the use of the bird's-eye view angle, and it is ensured that the automatic driving vehicle has high adaptive capacity and safety in the driving process.

The invention is suitable for the technical field of precision sensing, and provides a triaxial integrated MEMS gyroscope structure and a manufacturing method thereof, the structure comprises an intermediate coupling structure, first to sixth detection structures, a first driving structure and a second driving structure; the first to fourth detection structures are symmetrically arranged around the middle coupling structure and are respectively coupled with the middle coupling structure; the fifth detection structure is arranged in the first detection structure and is coupled with the first detection structure; the first driving structure is symmetrical about the first axis and is coupled with the first, second and fourth detection structures respectively; the sixth detection structure is arranged in the third detection structure and is coupled with the third detection structure; the second driving structure is symmetrical about the first axis and is coupled with the third detection structure, the second detection structure and the fourth detection structure respectively; the angular velocity in each axial direction is detected by using each detection structure. The size and the cost of the gyroscope can be reduced, and meanwhile, the environmental adaptability of the gyroscope is improved.

The invention provides a test scene generalization generation method and system for automatic driving defect test, and belongs to the technical field of automatic driving test. Specifically, scene elements of a scene to be tested are extracted, and the extracted scene elements are divided into a training set and a test set; constructing a defect test scene model; training the defect test scene model based on the training set, and performing reinforcement learning by using a reward function, an attention mechanism and a DDQN algorithm to obtain a trained defect test scene model; and inputting the scene elements of the test set into the trained defect test scene model to generate a test scene. The test scene around the automatic driving vehicle is extracted and trained, and the automatic driving vehicle judges the influence degree of the surrounding environment on the predicted path, so that the training purpose is achieved, the independence between the test scene generation process and the tested system vehicle is enhanced, and the test efficiency is improved. And the generated scene is not influenced by the motion model adopted by the tested system.

The invention relates to the technical field of navigation optimization, in particular to a high-definition double-recording driving navigation operation optimization method and system, which can enhance the practicability and reliability of a navigation system and provide more comprehensive, accurate and timely navigation service for a driver. The method comprises the following steps: acquiring historical driving experience information of a vehicle driver, and setting a navigation optimization frequency based on the historical driving experience information; based on the navigation optimization frequency, collecting real-time lane video stream information of a lane where a vehicle is located and a lane in the same direction through a vehicle-mounted high-definition double-recording camera; for each lane, performing decision feature extraction on the real-time lane video stream information to obtain a lane real-time condition portrait; inputting the lane real-time condition portrait into a pre-trained lane condition evaluation model to obtain a lane real-time condition feasible index; and calculating the distance between the lane and the lane where the vehicle is located to obtain the lane span.

The invention belongs to the technical field of automatic driving, and particularly relates to an automatic driving path planning method, which comprises the steps of S1, environment information acquisition and preprocessing: acquiring environment information around a vehicle by using various sensors, and performing fusion processing on the acquired multi-source sensor information, S2, map construction and updating, and S3, automatic driving path planning. The method comprises the following steps: S1, pre-processing environment information of a vehicle, constructing a local map according to the pre-processed environment information, and updating the map in real time according to received traffic information, S3, searching and optimizing a path, searching an initial path from a current position of the vehicle to a target position based on the constructed and updated map, and optimizing the searched initial path; the accuracy and integrity of the environment information are improved, so that the path can be planned more accurately, the flexibility and adaptability of path planning are improved, the operation cost of the vehicle is reduced, the driving efficiency is improved, and the safety and the driving continuity of the automatic driving vehicle are guaranteed.

The invention provides a vehicle-mounted detecting and guiding system during advancing, and belongs to the field of vehicle control. The problem that the vehicle auxiliary driving efficiency is low is solved. Specifically, the data acquisition module acquires driving data; the positioning correction module is used for carrying out primary analysis on the driving data and correcting the position of the vehicle; the driving assistance module carries out primary adjustment on the vehicle speed; analyzing the power oil consumption change of the vehicle according to the driving data, obtaining the remaining driving time of the vehicle to the destination, and carrying out secondary adjustment on the driving speed of the vehicle; the continuous adjustment module continuously obtains driving data and destination information of the vehicle and adjusts the positioning and driving speed of the vehicle; according to the invention, the positioning and speed of the vehicle are adjusted by acquiring, analyzing and processing related data of vehicle driving, so that the vehicle is stable in driving.

The invention discloses a safety protection system for a cable guide vehicle of a coke dry quenching elevator, relates to the technical field of guide vehicle safety protection, solves the technical problems that in the prior art, the hidden danger protection efficiency of the guide vehicle cannot be detected, and risk management and control cannot be carried out in time, and particularly relates to a guide vehicle track detection unit. The guide rail detection module is used for carrying out guide rail detection on a cable guide, collecting rail detection information, substituting the rail detection information into a formula to obtain a detection coefficient of a guide rail, and comparing and deducing whether the guide rail detection is abnormal or not according to a coefficient threshold; the guide vehicle running analysis unit is used for analyzing the running process of the guide vehicle, collecting bearing running information and wheel running information, and deducing whether the running analysis of the cable guide vehicle is abnormal or not through information comparison; and the protection detection unit is used for detecting and analyzing safety protection measures of the cable guide vehicle, acquiring peak-to-time ratio information and braking information, and analyzing and deducing whether protection detection of the cable guide vehicle is abnormal or not according to the information.

The invention discloses an ecological driving method, system and device in a roundabout scene and a medium, and the method comprises the steps: obtaining the initial state data of each network-connected vehicle in the roundabout scene, building an ecological driving model based on a KAN network, and setting a composite reward function, the ecological driving model comprises a control main network and a target network which are the same in structure, the composite reward function comprises a safety function, a driving efficiency function, a driving comfort function, a low-speed reward and punishment function, an energy consumption function and a destination arrival reward and punishment function; and carrying out training optimization on the ecological driving model based on the initial state data, inputting the real-time state space into the trained ecological driving model, outputting an optimal safety reference speed, and carrying out driving control on each networked vehicle based on the optimal safety reference speed. The method is suitable for an intelligent network connection environment, the problems of energy conservation and emission reduction are concerned, and the driving efficiency, safety, driving comfort, energy-saving effect and the like of the network connection vehicle passing through the roundabout are obviously improved.

The invention discloses an automatic control method and system for a vehicle steering lamp, and the control method comprises the steps: obtaining navigation information, judging the driving road condition of a vehicle according to the navigation information, and obtaining the driving state information of the vehicle under the corresponding driving road condition; vehicle driving scene information is obtained, a steering lamp control strategy is established according to vehicle navigation information, driving road conditions, driving state information and the vehicle driving scene information, and corresponding steering lamps are controlled to be turned on or turned off; the steering intention of the vehicle is automatically judged, turning-on and turning-off of the steering lamp are controlled, the operation burden of a driver in the driving process is relieved, the driver is more focused on the driving task, and the driving comfort and safety are improved; by automatically judging the steering intention of the vehicle and controlling the turn-on and turn-off of the turn signal lamp, the situation that a driver forgets to turn on the turn signal lamp due to negligence or fatigue can be avoided, and therefore the risk of traffic accidents is reduced; by reducing reaction delay caused by manual operation of the steering lamp, the driving efficiency can be improved, especially in emergency, the steering intention of the vehicle can be transmitted more quickly, and traffic accidents are avoided.

The utility model discloses a relay driving circuit and charging equipment, and the driving circuit is connected with a relay through a first node, and comprises a coupling module, a first driving module, a second driving module and a first current limiting module. The coupling module is used for transmitting a voltage signal of the signal input end to a sixth node or turning off a connection path between the signal input end and the sixth node; the first driving module is used for responding to a voltage signal of the sixth node to connect the first node and the third node or turn off a connection path of the two nodes; and the second driving module is used for responding to the voltage signal of the signal input end to connect the seventh node and the third node or turn off the connection path of the two nodes. The first driving module and the second driving module are driven by the same path of driving I-O signals, and compared with an existing mode that two paths of driving I-O signals are controlled respectively, control resources are saved. And the problems of low starting speed and low power reduction amplitude of the relay are solved while reliable pull-in is ensured.

The invention relates to the technical field of path planning, in particular to a quadruped robot local path planning method based on improved DWA and TEB algorithms. The method comprises the following steps: S1, acquiring a first path based on an initial position, a target position and static obstacle information of a robot; s2, smoothing the first path through a smoothing algorithm to obtain a second path; s3, the maximum obstacle avoidance distance is calculated based on the current position and the maximum speed of the moving obstacle and the current position and the estimated average speed of the robot; s4, acquiring the obstacle avoidance speed based on the difference value between the first distance between the robot and the moving obstacle and the safe obstacle avoidance distance and the collision speed window; and S5, acquiring a third path based on the obstacle avoidance speed and the second path, and arriving at the target position based on the third path. According to the invention, the problems of inaccurate obstacle avoidance and low driving efficiency are solved, and the obstacle avoidance precision and the driving efficiency are improved.

The invention discloses a robot safety monitoring system which comprises a sensor module, a sensing module, a positioning module, a hardware monitoring module, a software monitoring module, a planning control module, an early warning module, a record feedback module and a robot control system. Identifying and analyzing objects and obstacles in the working environment; and the planning control module is used for generating a driving path and performing real-time adjustment according to the sensing and positioning information. According to the robot safety monitoring system provided by the invention, the laser radar, the camera and other multi-element sensors are fused, a high-precision environment map is constructed, and autonomous navigation of the robot can be realized in combination with the positioning module; the early warning module performs graded early warning according to abnormal conditions to ensure operation safety; the hardware monitoring module and the software monitoring module work cooperatively to guarantee stable operation of the system.

The invention discloses a traffic light state generation method and device, equipment and a storage medium, and relates to the field of vehicle-mounted technology, and the method comprises the steps: obtaining vehicle driving navigation data, determining traffic light information according to the vehicle driving information in the vehicle driving navigation data, or determining the traffic light information according to the position information in the vehicle driving navigation data, and uploading the vehicle driving navigation data and the traffic light information to a cloud platform. The cloud platform receives vehicle driving navigation data and traffic light information sent by a vehicle, obtains intersection identification information and acquisition time information according to the vehicle driving navigation data, determines traffic light state data according to the traffic light information, the intersection identification information and the acquisition time information, and sends the traffic light state data to the cloud platform according to the traffic light state data and the intersection identification information. And obtaining a traffic light state result. The traffic light state is identified based on navigation and image data and uploaded to the cloud for analysis and processing to generate accurate time-sharing state information, so that the accuracy and efficiency of the traffic light state are improved.

The application provides a bionic mechanical leg and a bionic device. The bionic mechanical leg comprises a mechanical thigh, a mechanical calf, a calf driving device and a thigh driving device. The mechanical calf is rotatably connected with the mechanical thigh. The calf driving device comprises a motor and a driving rod. The motor is arranged on the mechanical thigh. The driving rod is connected with the motor and the mechanical calf, and is used for driving the mechanical calf to rotate. The thigh driving device comprises a ball gear, a first driving gear and a second driving gear. The first driving gear and the second driving gear are both engaged with the ball gear. The rotation axis of the first driving gear and the rotation axis of the second driving gear are perpendicular. The ball gear is connected with the mechanical thigh, and is used for driving the mechanical thigh to rotate. The application has higher driving efficiency, a more compact structure and is more lightweight, and is more suitable for small toy bionic devices.

The application discloses a micro fan and electronic equipment, and relates to the fan technical field, the micro fan includes a shell assembly, a vibration plate assembly and a driving device. The vibration plate assembly divides the shell assembly into a front cavity and a rear cavity, the vibration plate assembly includes a vibrating plate with one end fixed and one end suspended, the shell assembly includes an air inlet and an air outlet which are communicated with the front cavity and the outside, and the air inlet and the air outlet form a front cavity air duct; the driving device is arranged in the rear cavity and includes a permanent magnet magnetic circuit assembly, a coil and an armature, the permanent magnet magnetic circuit assembly and the coil are fixed relative to the shell assembly, the armature includes a moving piece arranged in the coil and the permanent magnet magnetic circuit assembly, the moving piece and the vibrating plate are connected through a connecting rod, and the coil is used for driving the moving piece to vibrate; the micro fan is compact in structure, small in size, high in driving efficiency, and capable of achieving good heat dissipation effect.

The utility model discloses an advanced cooling system for a liquid nitrogen wash molecular sieve, which is characterized in that a liquid nitrogen spray head is arranged on a pipeline between a regenerated nitrogen inlet pipe and the liquid nitrogen wash molecular sieve, an inlet of the liquid nitrogen spray head is connected with a liquid nitrogen pipe, an adjusting valve is arranged on the liquid nitrogen pipe, and a temperature sensor is arranged on a regenerated nitrogen outlet pipe; and the signal output end of the temperature sensor is electrically connected with the signal input end of the regulating valve. Meanwhile, the methanol washing device is started at the same time, the methanol washing device and the methanol washing device are started synchronously, after the temperature of crude hydrogen at an outlet of the methanol washing device meets the requirement, gas can be guided into the cold box through direct pressurization, the cooling step is omitted, and the starting efficiency is greatly improved; the temperature of nitrogen discharged by the liquid nitrogen wash molecular sieve is detected through the temperature sensor, and the liquid nitrogen flow can be adjusted according to the temperature measured by the temperature sensor, so that the temperature of the liquid nitrogen wash molecular sieve can be adjusted to-60 DEG C.

The embodiment of the invention provides a lane determination method and system, electronic equipment and a storage medium. The lane determination method comprises the following steps: a terminal device sends a data acquisition request to a roadside device and a sensing device, wherein the data acquisition request is used for requesting lane label data and tunnel portal traffic flow data; the roadside equipment responds to the data acquisition request and returns the lane mark number data to the terminal equipment; the sensing device responds to the data acquisition request and returns tunnel portal traffic flow data to the terminal device; the terminal equipment determines traffic flow data of each lane in the tunnel according to the tunnel portal traffic flow data and the lane mark number data; and the terminal device determines a target lane according to the traffic flow data of each lane in the tunnel. According to the scheme, the safety of tunnel driving is guaranteed, and the driving efficiency of the vehicle is improved.

To improve the driving efficiency in a mode in which the wheel is offset with respect to the pivot shaft. In the drive wheel, the rotational axial center of a wheel along the vertical direction intersecting the axial center of the axle is arranged shifted in the horizontal direction orthogonal to the axial center of the axle with respect to the axial center of the pivot shaft, and when a radius R1 of the wheel, center distance R2 between the rotational axial center and the axial center of the pivot shaft, rotational frequency n1 of the wheel, rotational frequency n2 of the pivot shaft, rotational speed V1 of the wheel, and steering rotational speed V2 of the wheel rolling on a floor surface while turning the pivot shaft satisfy V1 = V2, relations of V1 = 2π x R1 x n1, V2 = 2π x R2 x n2, and n1 = n2 (R2 / R1) are satisfied.

The application discloses a single-shaft active and passive mixed driving intelligent artificial knee joint structure with energy recovery function, which comprises a joint rotating module, a gear transmission module, a hydraulic damping module, a rack and a motor. The gear transmission module comprises a primary bevel gear transmission system, a secondary gear transmission system, a synchronous belt wheel transmission assembly and a transmission rack. The motor is fixed on the transmission rack. In the active stage, the motor provides an active driving torque for the knee joint through the gear transmission module and the joint rotating module. In the passive stage, the joint rotating module transmits a passive torque of the knee joint to the motor through the gear transmission module, drives the motor to rotate, so that the motor generates electricity to recover energy, and the hydraulic damping module provides a damping torque to ensure the stability of the knee joint. In various use occasions, the required damping or driving torque can be obtained, the power consumption of the motor can be reduced by recovering the passive torque of the knee joint in the passive stage, and the working endurance of the intelligent artificial limb is improved.

The utility model relates to the technical field of injection molds, in particular to an injection mold with a quick demolding function, which comprises an upper mold seat and a lower mold seat, an air cylinder is fixedly mounted on the surface of the upper mold seat, a support is fixedly mounted on the bottom surface of the upper mold seat, an upper mold block is fixedly mounted on the bottom surface of the support, and a lower mold block is fixedly mounted on the lower surface of the upper mold seat. An upper die head is fixedly mounted in the upper die block, and a movable plate is slidably connected into the support. According to the utility model, the ejector rod slides in the sliding chute of the upper module, so that the ejector rod realizes vertical and accurate guiding, abrasion or blockage is obviously reduced, the service life of the mold is prolonged, and the product quality is improved. And the guide rods of the movable plate slide in the guide holes, so that the stability and the parallelism are enhanced, and the alignment precision of the mold under pressure or thermal expansion is ensured. Power of the air cylinder directly acts on the moving plate, so that the ejector rod directly applies force to a forming material, demolding is accelerated, the forming period is shortened, the driving efficiency and the response speed are improved, and the production process is effectively accelerated.

The present invention discloses a point cloud 3D target detection method, system, storage medium and device, the method comprising: obtaining image data of various road participants and different degrees of occlusion and truncation in different driving scenes, and performing preprocessing to obtain a target data set; constructing a point cloud 3D target detection model based on a B-spline activation function; importing a training set into the point cloud 3D target detection model for training, and using a test set to verify the point cloud 3D target detection model, and using a validation set to evaluate the point cloud 3D target detection model; deploying the point cloud 3D target detection model in a vehicle, and detecting scenes of occlusion and truncation of road participants in different driving scenes. The present invention is conducive to accurately judging road conditions, predicting the behavior of pedestrians and cyclists, improving driving efficiency and driving safety, enhancing system adaptability and robustness, and reducing the occurrence of traffic accidents by detecting different scenes in automatic driving.