24results about How to "Improve active safety" patented technology

The invention discloses a self-adaptive cruise vehicle distance control method, device and equipment and a storage medium, and belongs to the technical field of automatic driving. According to the method, driving data, such as the vehicle speed and the longitudinal distance, of vehicles within a certain range are recognized through a real-time sensing system, the predicted collision time and the relative acceleration are calculated, and therefore the vehicles which possibly directly or indirectly cause collision in the vehicles are determined to be subjected to early warning marking; real-time collision risks of a plurality of vehicles are quantified by combining a collision risk assessment algorithm, so that the vehicles needing priority prevention are determined, the vehicle following distance is adjusted in real time, in addition, when the vehicles needing priority prevention are switched, vehicle control stability is ensured by limiting vehicle deceleration, and the situation that driving experience is affected by sudden braking is avoided. On the whole, according to the scheme, through real-time vehicle distance control and risk assessment, the collision risk brought to the front vehicle is reduced, the vehicle following safety of the vehicle in the complex traffic environment is remarkably improved, and the driving comfort and safety are improved.

The invention relates to the technical field of forklift anti-collision, in particular to a forklift anti-collision system based on thunder-vision fusion, which comprises a panoramic picture splicing module, a visual recognition and tracking module, a microwave radar module, a data processing module and a decision and control module, the panoramic picture splicing module is used for correcting and splicing pictures of front, back, left and right wide-angle cameras to form a panoramic picture of the vehicle; the visual identification tracking module is used for carrying out object detection and target tracking on the panoramic picture in real time and continuously outputting object coordinates and object types; and the microwave radar module continuously outputs point cloud picture data of objects around the vehicle. According to the anti-collision system, the accuracy and reliability of the anti-collision system can be improved, false alarms are reduced, and the anti-collision system can more intelligently and efficiently guarantee the safety of forklift operation.

The invention belongs to the technical field of new energy automobile steering systems, and discloses a new energy automobile electric hydraulic power-assisted steering system and a control method thereof.The system integrates a double-source redundant hydraulic power unit, a hydraulic adjusting unit, a multi-dimensional working condition sensing unit and an intelligent main controller; the multi-dimensional working condition sensing unit is integrated with a road adhesion coefficient detection module and a battery remaining capacity detection module. The control method is layered look-ahead matching control and is executed by an intelligent main controller in parallel: a power-assisted decision-making layer divides a three-stage power-assisted mode according to multi-dimensional perception information, and limits a steering angular velocity when power-assisted is enhanced on a low-attached road surface; the energy optimization layer predicts and implements prospective energy storage and pump rotating speed self-adaptive adjustment based on the intention of a driver; and the fault diagnosis layer realizes rapid fault identification and redundancy switching through multi-parameter collaborative diagnosis. The contradiction of high energy consumption, response delay and weak safety guarantee of a traditional system is solved, and power-assisted steering which is safe, energy-saving, fast in response and high in adaptability is achieved.

The invention relates to the technical field of vehicle active safety, and provides an anti-roll moment distribution control method, which specifically comprises the following steps of: in a vehicle driving process, detecting a lateral acceleration ay of a vehicle in real time; an ideal roll angle # imgabs0 # under the current lateral acceleration ay is determined, the current vehicle body roll angle # imgabs1 # of the vehicle is detected, the difference value between the ideal roll angle # imgabs2 # and the current vehicle body roll angle # imgabs3 # serves as the input of a PID controller, the PID controller outputs the anti-roll torque # imgabs4 # currently needed by the vehicle, and the vertical load transfer amount delta Wf of a front suspension and the vertical load transfer amount delta Wr of a rear suspension are calculated; the anti-roll moment # imgabs5 is distributed to the front suspension and the rear suspension based on the vertical load transfer amount of the front suspension and the rear suspension. According to the vehicle suspension vertical load transfer amount, an anti-roll moment distribution method is designed, and roll stiffness of the front suspension and the rear suspension is further adjusted through stabilizer bars of the front suspension and the rear suspension, so that excessive steering amount of a vehicle is reduced, insufficient steering amount is increased, and active safety of vehicle driving is effectively improved.

The invention relates to the technical field of motorcycle control, and discloses a motorcycle anti-skid control method and system, a motorcycle and a storage medium, and the control method comprises the steps: obtaining the multi-dimensional operation state parameters of the motorcycle, and carrying out the preprocessing and standardization, and obtaining a structured data set; based on the structured data set, vehicle body posture fusion data and road condition pre-judgment data are generated through a dynamic confidence fusion algorithm; identifying a style label of the current driver according to the vehicle body posture fusion data; based on the vehicle body posture fusion data, the style label and the road condition pre-judgment data, the initial dynamic model is adjusted to obtain a dynamic prediction model, and the dynamic prediction model outputs a vehicle body motion state prediction value at the next moment; and generating a control instruction set by using a double-loop control optimization algorithm according to the vehicle body motion state prediction value, the style label and the road condition pre-judgment data, and further controlling the motorcycle to advance, thereby realizing the high-reliability anti-sideslip control with self-adaption of the style and the road condition of the driver.

The invention provides a commercial vehicle drive-by-wire electro-hydraulic steering road feeling simulation control system and method, a steering resistance moment fusion estimation module fuses a steering resistance moment based on vehicle dynamics and a steering resistance moment based on steering dynamics based on an AKF algorithm, and is used for estimating the steering resistance moment of a commercial vehicle in a driving process; the compensation torque module is used for generating a friction compensation torque, a damping compensation torque and an inertia compensation torque, and introducing a roll compensation torque; the road feeling feedback torque generation module obtains the expected road feeling motor torque according to the torque output by each module, and a sliding mode controller (SMC) is adopted to carry out closed-loop control on the road feeling motor, so that the road feeling motor tracks the expected road feeling torque. According to the method, the estimation precision of the steering resistance torque can be remarkably improved, and more stable and reliable road feeling simulation is provided; by introducing the roll compensation torque, the roll posture of the vehicle body is converted into the torque change of the steering wheel which can be directly perceived by a driver, and the perception capability of the driver on the roll trend and the stable boundary of the vehicle is enhanced.

The application provides a power supply system of a driving motor of an electric vehicle and the electric vehicle, and the power supply system comprises: a first power supply; a first power supply circuit electrically connected with the first power supply, used for supplying power for a system basic chip (SBC) and supplying power for upper and lower bridges of the driving motor; a second power supply; a second power supply circuit electrically connected with the second power supply, used for supplying power for the lower bridge of the driving motor; the power supply voltage of the second power supply is higher than that of the first power supply; when the first power supply circuit fails, the second power supply circuit is used for supplying power for the lower bridge of the driving motor, so that the driving motor enters a short circuit state; when the second power supply circuit fails, the first power supply circuit is used for supplying power for the upper bridge of the driving motor, so that the driving motor enters a short circuit state. The scheme improves the active safety performance of the electric vehicle.

The present invention relates to the field of forklift anti-collision technology, in particular to a forklift anti-collision system based on radar-vision fusion, including a panoramic picture splicing module, a visual recognition and tracking module, a microwave radar module, a data processing module, and a decision and control module; the panoramic picture splicing module: uses the pictures of four wide-angle cameras in front, behind, left and right to calibrate and splice to form a panoramic picture of the vehicle; the visual recognition and tracking module: performs object detection and target tracking on the panoramic picture in real time, and continuously outputs object coordinates and object types; the microwave radar module: continuously outputs point cloud map data of objects around the vehicle. The present invention can improve the accuracy and reliability of the anti-collision system, reduce the occurrence of false alarms, and enable the anti-collision system to more intelligently and efficiently ensure the safety of forklift operation.

The invention discloses a safety service system in a highway vehicle-road cloud environment. The safety service system comprises a central cloud platform, an edge computing unit, a vehicle-mounted terminal and a road inspection system, through cooperation of the central cloud platform, the edge computing unit, the vehicle-mounted terminal and the road inspection system, effective transmission between highway sign information and event information and vehicles is realized, and meanwhile, the system can broadcast road side sensing data in a PC5 direct connection communication mode, so that the traffic safety of the highway is improved. Therefore, real-time sensing and safety monitoring of blind areas and accident black spots of the expressway are achieved, comprehensive support is provided for safe driving of drivers through efficient information safeguard measures and the system, driving safety is enhanced, accident risks are reduced, safety and smoothness of each driver in the driving process are guaranteed, and the driving safety is improved. According to the invention, the full-coverage communication capability of highway safety accidents is realized, the active safety of the highway is improved, the road safety is guaranteed, and accidents are reduced.

The invention relates to the technical field of vehicle control, in particular to an environment sensing method and system and a vehicle. The compensation method comprises the following steps: acquiring a reflected light signal reflecting the surface state of the windshield, a temperature measurement signal reflecting the surface temperature of the windshield and environment early warning information; calculating a reflection characteristic value based on the reflection light signal, calculating a temperature compensation factor based on the temperature measurement signal, and calculating an environment early warning information grade value based on the environment early warning information; performing weighted fusion on the reflection characteristic value, the temperature compensation factor and the environment early warning information grade value to generate an environment state judgment value; and comparing the environment state judgment value with a preset threshold value to generate a comparison result. According to the scheme, the technical problem that a traditional rainfall light sensor depends on a single light signal and is easily interfered by the environment to cause misjudgment is solved, and the environment sensing precision is improved.

The invention relates to the crossing field of mechanical engineering and intelligent control, discloses a ramp anti-slip cooperative braking method and system for a scooter, and aims to solve the problems that when an existing electric scooter is parked on a ramp or runs at a low speed, due to a single braking mechanism, slip is out of control, the braking distance is too long, and the rollover risk is caused. The method comprises the following steps: acquiring motion state, environment and user intention data in real time through a multi-source sensor fusion module; constructing a ramp kinetic model, and estimating a slope angle, a road adhesion coefficient and a centroid offset; the slope sliding risk is judged based on the safety threshold value set; and if the risk exists, the cooperative braking decision module generates a cooperative control instruction of front wheel motor braking, rear wheel mechanical braking and a gravity center adjusting actuator, and synchronously issues and executes the cooperative control instruction. Through cooperation of the triple execution mechanisms and model prediction control, high-response and high-stability anti-slip braking is achieved, and safety, comfort and energy recovery efficiency are all considered.

The invention discloses a steering column adjusting device and a vehicle. The steering column adjusting device comprises a supporting assembly, a telescopic assembly, a driving unit and a motion transmitting and restraining mechanism. When a vehicle intelligent control system sends out an inclination angle adjusting instruction and the driving unit drives the linear driving output end of the driving unit to generate displacement, the telescopic assembly is driven to slide relative to the supporting assembly, axial position adjustment of the steering column is achieved, and under the constraint of the motion transmission and constraint mechanism, the inclination angle of the steering column is adjusted. The linear driving output end synchronously drives the driving unit, the supporting assembly and the telescopic assembly to rotate around the supporting assembly relative to the rotating connecting point of the vehicle body, and inclination angle adjustment of the steering column is achieved. According to the device, rapid and accurate position reconstruction of the steering column in various driving modes is achieved, the requirements of automatic driving storage, active safety avoidance and the like are met, and the active safety performance and man-machine interaction experience of a vehicle in an intelligent network connection environment are improved.

The utility model discloses a novel front ceiling lamp with a millimeter wave radar and a camera. The novel front ceiling lamp comprises the camera, the millimeter wave radar, a PCB, an LED light source, a bottom shell, a frame and a lens. The millimeter-wave radar and the camera are in threaded connection with the frame, the LED light source is welded on the PCB, the bottom shell is provided with four threaded holes connected with the frame, the frame is provided with threaded holes for placing and connecting the camera and the millimeter-wave radar, and the bottom of the frame is provided with four threaded holes connected with the bottom shell; the lens is connected with the frame in a bonding mode. The front ceiling lamp is used as a carrier, integrated design is achieved, installation space is saved, manufacturing cost is reduced, and functional diversification is achieved.

The embodiment of the application provides a kind of grille lamp language control method, device, equipment, storage medium and product, comprising: receiving the driver facial expression image that in-car face recognition camera gathers;Based on preset facial expression analysis algorithm, driver facial expression image is analyzed, whether driver is in fainting state or coma state is judged;If it is determined that the driver is in fainting state or coma state, then send instruction to the horn controller of vehicle, to make horn controller control the horn of vehicle and send the preset frequency of distress sound signal;If it is determined that the driver is in fainting state or coma state, then send instruction to the lamp language controller, to make lamp language controller control light-emitting grid and switch to warning flash state, the method is used to reach the effect of improving vehicle active safety capability.

The invention discloses an air pressure ABS brake pressure calculation system and method, and relates to the technical field of drive-by-wire chassis. The system comprises a slip rate calculation module used for calculating the slip rate of wheels; the wheel deceleration calculation module is used for calculating the deceleration of the wheel and filtering; the state monitoring module is used for judging the state of the wheels according to the slip rate, the wheel deceleration and the vehicle speed; the basic target braking force calculation module is used for calculating the target braking force in the initial state; the output target braking force calculation module is used for calculating and processing the target braking force according to the state of the wheels; and the target braking force filtering module is used for filtering the target braking force according to the pressure increasing and decreasing states of the wheels. According to the technical scheme, the stable braking function of the air pressure ABS braking system of the commercial vehicle under different road surface conditions can be achieved, and the high application value is achieved.

The utility model relates to an emergency call system based on a vehicle-mounted eCall device and a vehicle, and relates to the field of vehicle-mounted communication, the system comprises a power supply monitoring unit used for monitoring a whole vehicle power supply mode; the collision sensor is used for detecting vehicle body acceleration; the seat sensor is used for detecting whether a person exists in the seat position or not; and the eCall module is in signal connection with the power supply monitoring unit, the collision sensor and the seat sensor, and is used for triggering the eCall module when the whole vehicle power supply is off, the seat is provided with a person and the acceleration exceeds a preset value. According to the utility model, the coverage scene of the emergency call of the eCall equipment is improved.

The invention discloses an intelligent safety monitoring and evaluation method for long-distance transport of precast beams, and particularly relates to the technical field of transport safety of precast beam engineering, comprising the steps of S1, risk prevention and control equipment installation, S2, simulation modeling, S3, risk evaluation and S4, management and control early warning measure execution. According to the method, zero-cost and destructive mass trial and error are carried out in a virtual environment, the effectiveness of multi-dimensional decision logic is verified, accurate hierarchical management and control from slight prompt to forced intervention and remote linkage is realized through execution links according to risk levels, the interference of invalid alarm on a driver is effectively avoided, and the safety of the driver is improved. And through the vehicle-road-cloud coordination and full-process data recording function, the three core pain points of easy overturning due to high gravity center, long vehicle body, large blind area and easy fatigue in long-distance transportation in the precast beam transportation process are thoroughly solved, and the active safety, accident prevention capability and later liability definition scientificity in the transportation process are remarkably improved.

The invention discloses a vehicle-mounted information display device and method, and the device comprises a housing, and a communication receiving module, a controller and an LED display array which are located in the housing and are connected in sequence. According to the vehicle-mounted information display device and the related display method, information can be actively obtained through the communication receiving module, lightening or content display of the LED display array is controlled, front or rear vehicles and pedestrians are reminded, traffic accidents are avoided, and the safety of the vehicles is improved.

The invention relates to an intelligent early warning system and method for an induced draft fan of an ICS, and the system comprises a DCS system and a big data platform, the big data platform carries out the information interaction with an intelligent early warning module and an intelligent diagnosis module, and the intelligent early warning module transmits the early warning information to the intelligent diagnosis module; the intelligent early warning module is in signal connection with the big data platform through the data model module, the big data platform transmits data to the data model module, and the data model module is in signal connection with the intelligent early warning module; the intelligent diagnosis module is in signal connection with the big data platform through the mechanism model module, the big data platform transmits data to the mechanism model module, and the mechanism model module is in signal connection with the intelligent diagnosis module; and the mechanism model module is in signal connection with the data model module through the simulation working condition generation and accident deduction module. The method has the advantages that prediction can be carried out in advance, and loss is effectively reduced and controlled.

This utility model discloses a deformation detection device for large wind turbine hoisting, belonging to the field of wind power equipment installation technology. It includes: multiple sensor units for detachable installation on the surface of the wind turbine component to be hoisted, with each sensor unit consisting of a housing and a strain gauge, a triaxial accelerometer, and a wireless data transmission module housed within the housing; a central processing and control hub for receiving and processing deformation data from the multiple sensor units, and communicating with the wireless data transmission module; and a monitoring and alarm terminal for displaying deformation data in real time and issuing alarm signals when a risk is detected, electrically connected to the central processing and control hub. This device, by arranging multiple sensor units on the wind turbine component, achieves full-process, real-time, and quantitative monitoring of structural deformation and vibration status of key parts during hoisting, solving the technical problem that traditional methods cannot dynamically grasp the actual stress condition of the component.

The invention provides a low-speed off-vehicle safety control method, device and equipment and a storage medium, multi-source driving sensing information of a vehicle and a vehicle key controller state are obtained, the off-vehicle intention of a driver is determined according to the multi-source driving sensing information and the vehicle key controller state, and when the off-vehicle intention is that the driver leaves the vehicle in the driving process, the vehicle is driven by the driver. The current speed of the vehicle is obtained, if the current speed of the vehicle is within a preset low-speed threshold range, a corresponding low-speed off-vehicle control strategy is matched according to the current speed of the vehicle, and vehicle parking operation is executed according to the corresponding low-speed off-vehicle control strategy; the vehicle leaving intention of the driver in the driving process is accurately recognized through the multi-source driving sensing information and the vehicle key controller state, when the vehicle is within the preset low-speed threshold value range, the corresponding low-speed vehicle leaving control strategy can be matched according to the current vehicle speed of the vehicle, the driver does not need to actively respond, the vehicle is automatically parked, and the driving safety is improved. And the active safety of the vehicle under the low-speed off-vehicle working condition is improved.

The invention provides a method and a system for warning a side rear vehicle that an overtaking intention exists, and belongs to the technical field of vehicles. A vehicle comprises an electronic rearview mirror system and an atmosphere lamp system, and the method comprises the steps that the electronic rearview mirror system collects side rear vehicle information through a camera and sends the information to an electronic rearview mirror system controller, and the controller judges whether the side rear vehicle has an overtaking intention or not based on a preset prediction algorithm according to the collected information; the overtaking intention signal is sent to an atmosphere lamp controller in the atmosphere lamp system, the atmosphere lamp controller sends an atmosphere lamp flickering signal to a driving module, and the driving module controls an atmosphere lamp to prompt a driver to pay attention to a vehicle behind the side in a first color. Whether the second vehicle has the overtaking intention or not is judged through the overtaking prediction algorithm preset in the controller, and then the active safety of the vehicle is improved. And the atmosphere lamp system and the electronic rearview mirror system are cooperatively realized, so that the driving assistance function of the atmosphere lamp is greatly enriched.

The invention provides a vehicle retarding system, a vehicle and a control method of the vehicle. The vehicle retarding system comprises a hydraulic torque converter, a retarding hydraulic pump, a proportional overflow, a variable speed pump, a sequence valve, a rotating speed sensor, a pressure sensor, a temperature sensor and a controller. The hydraulic torque converter is connected with the retarding hydraulic pump and the variable-speed pump through transfer gears, the retarding hydraulic pump provides braking power for a vehicle, and the variable-speed pump is mainly used for providing oil inlet flow for the hydraulic torque converter. An outlet of the retarding hydraulic pump is connected with a pressure sensor, a proportional overflow valve and a radiator; an outlet of the variable-speed pump is connected with a sequence valve and a gearbox operating valve, and a temperature sensor is arranged at an oil outlet of the hydraulic torque converter; an output rotating speed sensor is arranged on an output shaft of the hydraulic torque converter; the retarding hydraulic pump, the pressure sensor, the proportional overflow valve, the temperature sensor, the rotating speed sensor and the engine rotating speed sensor are all connected with the controller and controlled by a built-in program of the controller.

The application relates to an automatic drift planning and control method and device for emergency obstacle avoidance. The method describes the longitudinal, lateral and yaw responses of a vehicle under high side slip conditions by establishing a nonlinear vehicle dynamics model. Next, under the obstacle and safety constraint conditions, the MPPI algorithm is used to randomly sample the control sequence and generate an optimal candidate obstacle avoidance trajectory. Then, the optimal candidate trajectory is segmented and circularly arc-fitted, and a discrete reference drift sequence is constructed by combining and solving the drift equilibrium point. In order to reduce the equilibrium point solving time, the network output based on contrast learning is introduced as the numerical solving initial value. Finally, the vehicle model is locally linearized around each reference drift point, and the MPC controller is used to track the reference trajectory and the reference drift state, so that a complete planning-solution-control closed loop is formed, and the active safety capability and the maneuvering boundary of the automatic driving system under extreme conditions are improved.