727 results about "Tire pressure" patented technology

The invention relates to a tire pressure monitoring method and system, a storage medium and a vehicle, and belongs to the technical field of tire pressure monitoring. Performing image processing on the tire grounding state image to obtain a grounding contour, and fitting the grounding contour into an ellipse to obtain long axis and short axis parameters of the ellipse; calculating a deformation ratio based on long-axis and short-axis parameters of the ellipse; calculating the current tire pressure through a pre-constructed tire pressure calculation model based on the deformation ratio; and judging whether the slow air leakage phenomenon exists in the tire according to the current tire pressure and the standard tire pressure. According to the method, the tire grounding state image can be obtained in real time without adding extra hardware, the cost is reduced by analyzing the tire deformation and judging the current tire pressure state, the influence of low temperature is considered, the slow air leakage condition can be detected, and the monitoring precision is improved.

The invention discloses a wireless relay method, system and equipment for commercial vehicle tire pressure monitoring and a medium, relates to the technical field of commercial vehicle tire pressure monitoring, and solves the problems of poor system adaptability and unreliable real-time alarm caused by the fact that existing commercial vehicle tire pressure monitoring needs trailer transformation and wireless transmission is easy to conflict. The method specifically comprises the steps that ACL connection is established between a tire pressure receiving node and a wireless relay node, and channel scheduling parameters and tire pressure sensor working parameters are issued to the wireless relay node; the wireless relay node sends a report request message to the tire pressure sensor on a specified channel according to a preset period; after each tire pressure sensor receives the message, reporting tire pressure monitoring data in the exclusive response time slot, and if the tire pressure sensor detects a tire burst early warning event, repeatedly reporting the tire pressure monitoring data in the tire burst reporting time slot; the wireless relay node packages the data and sends the data to a tire pressure receiving node for receiving and processing, and if it is judged that a tire burst early warning event exists, an alarm is given within 100 ms. The method is used for monitoring the tire pressure of the commercial vehicle.

The invention relates to a vehicle static tire pressure monitoring method and device and a self-powered system thereof.The method comprises the steps that vehicle state information is obtained, and whether a vehicle enters a static state or not is judged according to the vehicle state information; after it is judged that the vehicle enters the static state, the tire pressure monitoring mode is switched to a static mode from a dynamic mode, tire pressure and temperature data are collected in the static mode, and the sampling frequency of the static mode is higher than that of the dynamic mode; energy support is provided for data acquisition in a static mode through a self-power supply system, and the self-power supply system at least partially converts mechanical energy generated during tire deformation into electric energy; according to the tire pressure and temperature data, the actual air leakage rate of the tire is determined through a temperature compensation algorithm; and triggering early warning information of a corresponding level according to the actual gas leakage rate.

The invention relates to the technical field of vehicle control, and provides a vehicle tire pressure adjusting method and a vehicle. Vehicle running data and a road topographic image in front of the vehicle are obtained, so that the vehicle trapping risk of the vehicle is predicted, and vehicle trapping probability information of the vehicle is obtained; according to the method, the vehicle trapping risk of the vehicle can be predicted in advance, the accuracy of vehicle trapping risk prediction is ensured through environmental perception and operation data, and the vehicle trapping risk prediction accuracy is improved. The tire pressure adjusting quantity is determined in time according to the vehicle sinking probability information and the vehicle operation data, so that the tire pressure adjusting accuracy is ensured, the purpose of timely intervention before the vehicle sinking is achieved, the vehicle sinking caused by mismatching of the tire pressure under the complex road conditions such as sand and mud is avoided, the vehicle escaping capability is improved, and the vehicle safety is improved. And the trafficability of the vehicle under various complex road conditions is improved.

The invention is suitable for the field of smart campuses, and provides a multi-source fusion data-based campus subject trajectory analysis method and system, and the method comprises the following steps: synchronously collecting the original data of a vehicle through an intelligent riding terminal, the original data comprising three-axis acceleration data, tire pressure data and high-precision positioning trajectory data; preprocessing the original data and extracting an acceleration sudden change event, a tire pressure sudden drop event and track deceleration characteristics; performing spatial superposition on the event data obtained through preprocessing and a campus road network GIS layer, and generating a pit damage thermodynamic diagram based on a preset damage judgment rule; and extracting a high-risk road section based on the pit damage thermodynamic diagram, and pushing a high-risk road section warning to the user. According to the invention, a scientific basis is provided for campus road maintenance planning, preventive maintenance is realized, and pavement damage is reduced.

A rotary sealing assembly comprises a static sealing ring cover and a movable sealing ring cover, the static sealing ring cover is provided with an air inlet channel connected with an external air supply source, the movable sealing ring cover is provided with an air outlet channel connected with the interior of a tire, and a sealing assembly is arranged between the static sealing ring cover and the movable sealing ring cover. The sealing assembly is used for achieving airtight sealing of the joint of the static sealing ring cover and the movable sealing ring cover, the sealing assembly comprises a static sealing ring fixed to the static sealing ring cover and a movable sealing ring fixed to the movable sealing ring cover, and the static sealing ring and the movable sealing ring abut against each other and are in interference contact to achieve dynamic sealing. The sealing device has the beneficial effects that dynamic sealing is achieved through interference contact of the static sealing ring and the movable sealing ring, the airtight reliability in the rotating state is effectively improved, and unstable tire pressure caused by gas leakage is prevented.

The invention discloses a tire detection method and system, an electronic device and a storage medium. The tire detection method comprises the following steps: collecting measurement data of a tire pressure sensor; identifying a vehicle state using the measured data; adjusting the acquisition frequency of a tire pressure sensor and an awakening mechanism of a microcontroller according to the vehicle state; acquiring tire pressure data by using a tire pressure sensor under the acquisition frequency; and under the awakening mechanism, awakening the microcontroller, and sending the tire pressure data to a receiving end according to a preset sending frequency corresponding to the vehicle state by utilizing the microcontroller. According to the technical scheme, the technical problem that in the prior art, a tire pressure sensor depends on periodic sampling and fixed-frequency communication, and consequently a large amount of invalid power consumption is generated can be solved.

The invention discloses a vehicle tire pressure monitoring reminding method and related equipment, and relates to the field of vehicle early warning, the method comprises the following steps: when a tire pressure sensor detects that a tire pressure change value of a target vehicle is greater than a tire pressure change threshold value, the tire pressure sensor sends a tire pressure sensor signal containing a preset wake-up identifier to tire pressure receiving equipment; the tire pressure receiving equipment verifies the sensor identifier to generate a verification result; the tire pressure processing equipment analyzes the tire pressure data of the target vehicle at the current moment, and when the current tire pressure state is an abnormal state, the tire pressure processing equipment marks a tire pressure sensor signal as an abnormal state signal and sends the abnormal state signal to the vehicle-mounted communication equipment; the vehicle-mounted communication equipment sends an abnormal state signal to the cloud platform; and based on the abnormal state signal and the current state parameter of the target vehicle, the cloud platform generates target alarm information and sends the target alarm information to the mobile terminal.

The invention provides a self-adaptive tire force calculation method and device, a program product and a vehicle, and relates to the technical field of vehicle tires, the method performs dynamic compensation on tire rigidity through real-time fusion of multi-source information such as a road adhesion coefficient, tire pressure, tire temperature and abrasion loss, the limitation of static fixation of traditional model parameters is broken through, and the tire force calculation accuracy is improved. And the tire force calculation can accurately reflect the physical state of the tire under the real working condition. According to the method, the calculation precision of the longitudinal force and the lateral force under different environmental conditions and tire aging degrees is improved, feedforward pre-judgment is achieved by introducing road surface information, a basis for advanced intervention is provided for a vehicle stability control system, and therefore the response speed and the control performance of a vehicle under the sudden change road condition are effectively improved, and the service life of the vehicle is prolonged. And the driving safety and the control stability are enhanced.

The invention belongs to the technical field of automobile electronics, and particularly relates to a tire pressure monitoring dynamic calibration method and system fused with vehicle speed data, and the method comprises the steps: obtaining real-time tire pressure, tire temperature, vehicle speed and environment temperature; based on the vehicle speed, the environment temperature and the calibration parameters, the tire theoretical temperature is estimated through a dynamic thermodynamic model; the real-time tire temperature and the theoretical temperature are fused through Kalman filtering, and the corrected internal temperature is obtained; and according to the real-time tire pressure, the corrected internal temperature and the cold tire reference temperature, a cold tire pressure equivalent value is calculated to judge the tire pressure state. By the adoption of the technical scheme, the interpretation ambiguity of traditional tire pressure monitoring can be overcome, the cold tire pressure equivalent value with more guiding significance is provided, and the accuracy, robustness and self-adaptive learning capacity of the system are enhanced.

The invention provides a slip rate determination method, a vehicle and a computer readable storage medium, and relates to the technical field of vehicle control, and the method comprises the steps: calculating the wheel speed deviation rate of each wheel, and carrying out the dynamic correction of the measured wheel speed of each wheel based on the wheel speed deviation rate, and calculating the slip rate of each wheel on the basis of the corrected measured wheel speed of each wheel. According to the method, high-precision and independent calculation of the slip rate of each wheel is realized, and the problem of inaccurate slip rate calculation caused by wheel speed measurement errors caused by factors such as inconsistent tire pressure, different wear degrees, mixed use of new and old tires, tire size difference and the like is effectively solved.

This disclosure describes systems and methods for determining tire inflation pressure loss. An example method may include receiving first tire pressure data for a first tire of a vehicle at a first time. The example method may also include receiving second tire pressure data for the first tire at a second time. The example method may also include identifying a slow leak in the first tire based on a relationship between the first tire pressure data and the second tire pressure data. The example method may also include causing to send an alert to a user.

The present invention provides a high-speed fault identification method based on Internet of Vehicles big data, comprising the following steps: S1, acquiring vehicle status data, behavior data, and GPS data of an in-vehicle infotainment terminal, transmitting same to the cloud, and preprocessing the vehicle status data, the behavior data, and the GPS data to obtain vehicle speed, sharp acceleration, sharp deceleration, sharp turn, activation status of hazard warning lights, driver exit status, an anti-lock braking system (ABS) fault related trouble code, an engine malfunction indicator lamp related trouble code, a tire pressure anomaly related trouble code, a coolant temperature warning related trouble code, and GPS point positioning data. Thus, whether a vehicle has stopped on a highway due to a fault can be effectively and rapidly detected, and location information of the vehicle is acquired on the basis of the GPS point positioning data, without the need to mount an aftermarket sensor, thereby achieving the advantages of low costs and high accuracy. Multi-dimensional identification of whether the vehicle has stopped on the highway due to the fault provides a basis for an original equipment manufacturer to implement after-sale care and for ensuring driver safety.

The invention discloses a tire pressure alarm method, a vehicle and a storage medium, and belongs to the technical field of vehicle electronic control. According to the scheme, firstly, the current capacitance change value of a vehicle kick sensor is detected, and the current capacitance change value can sensitively reflect the change of the distance between a vehicle and the ground; then, according to the current state of the vehicle, a corresponding target reference capacitance change value is matched, and the reference capacitance change value represents a capacitance change reference caused by passenger load and suspension height change under the standard tire pressure; and finally, the tire pressure alarm is triggered by judging whether the deviation between the current capacitance change value and the target reference capacitance change value exceeds a preset threshold value or not. According to the scheme, tire pressure monitoring is achieved by reusing the existing kicking sensor, and tire pressure early warning is achieved on the basis that additional hardware does not need to be introduced.

The invention provides a tire pressure adjusting method, a readable storage medium and a vehicle, and is applied to the technical field of tire pressure control. The method comprises the steps that in the vehicle driving process, before a current vehicle drives into a target road section in front, the target tire pressure of the current vehicle driving on the target road section is determined, the target performance parameter of the current vehicle driving on the target road section at the target tire pressure is predicted, and under the condition that the target performance parameter reaches the standard, the target tire pressure of the current vehicle is determined; and adjusting the tire pressure of the current vehicle to the target tire pressure. According to the method provided by the invention, the tire pressure of the vehicle can be adjusted to the target tire pressure with relatively high reliability before the vehicle is driven into the target road section in front of the vehicle, so that the vehicle has relatively high performance after being driven into the target road section.

A tire inflation assembly includes a housing that includes a fluid supply port and at least partially defining a fluid chamber in fluid communication with the fluid supply port. The tire inflation assembly further includes a first valve subassembly operatively connected to the housing and in fluid communication with the fluid chamber, wherein the first valve subassembly is configured to be operatively connected to and in fluid communication with a first tire. The first valve subassembly includes a first fluid valve and a second fluid valve each disposed between and in fluid communication with the fluid chamber and with the first tire. The first fluid valve is configured to open responsive to a pressure differential between the fluid chamber and the first tire, and the second fluid valve is configured to open responsive to pressure in the fluid chamber being greater than a first pressure threshold.

The invention discloses a truck gravity center deviation early warning method, which has the main design conception that on the premise of not increasing the cost of the whole truck, grades corresponding to different degrees of gravity center deviation are divided by calculating a left and right tire pressure difference value or a left and right tire temperature difference value by utilizing an existing original truck tire state detection device, so that the truck gravity center deviation early warning method is realized. Specifically, the early warning can be divided into a normal state, first-level early warning and second-level early warning, the first-level early warning can remind a driver of focusing attention through low-level warning measures, and the second-level early warning can remind the driver of the risk of rollover and the need of deceleration and parking as soon as possible through a high-level warning mode. Through difference monitoring of tires on the two sides and a grading early warning mechanism, the probability of occurrence of truck rollover accidents is effectively reduced. The truck center-of-gravity shift early-warning system can effectively warn truck center-of-gravity shift in a low-cost manner, so that the driving safety of the truck is ensured.

The tire pressure control with visual feedback notifications includes a proximity sensor, operative with a tire pressure supply hose. A sensory and feedback unit (SFU) is removably attached intermediate the tire stem and the supply hose stem pneumatic coupler. The SFU has a first pneumatic coupler adapted to be removably attached to the vehicle tire stem. When attached, inflation air is supplied through an SFU pneumatic passage. A controller reads pressure PS via a sensor on the passage and determines, in some cases, over-pressure, under-pressure and recommended tire pressure PRI. When PS equal PRI, controller enables illumination of one or more lights on the SFU. A user interface (UI) sets the PRI in the controller memory. Power is a replaceable battery, a rechargeable battery and the SFU may have a kinetic generator for power.

The invention discloses an inflator pump control management system with an AI intelligent identification function, and relates to the technical field of automobile accessories and outdoor portable air pumps, the inflator pump control management system comprises an image identification module, a sensor acquisition module, an AI self-learning module, a user interaction module and a control and protection module; the image recognition module is introduced, the recommended tire pressure value of the tire is automatically obtained through the optical character recognition technology, the pre-stored vehicle type and tire specification database is intelligently called for auxiliary matching when recognition fails, and the problem that a user manually searches for the tire pressure value is tedious and prone to errors is effectively solved; meanwhile, the AI self-learning module adopts a lightweight machine learning algorithm, is deployed in a local microprocessor, can independently record historical operation data of a user, establishes a personalized preference model, automatically learns a habitual tire pressure value of the user, and intelligently prompts to select a recommended value or a habitual value during subsequent inflation; therefore, the trouble that the inflation needs to be reset every time is avoided.

The utility model discloses handheld wireless tire pressure and tire temperature detection equipment which comprises a handheld detection gun and an integrated sensor arranged in a tire, the integrated sensor comprises a main control board, and the main control board is connected with a temperature sensor, a tire pressure sensor and a first wireless module; the handheld detection gun comprises a handheld shell and a battery unit, a power supply control unit, a main control unit and a remote communication unit which are arranged on the shell, the battery unit is connected with the power supply control unit, the power supply control unit is connected with the main control unit, and the remote communication unit is in communication connection with the main control unit; the main control unit is provided with a second wireless module used for communicating with the first wireless module. The integrated sensor is installed in a tire, a matched handheld detection gun is used externally to obtain sensor data, tire temperature and tire pressure data of the tire in a use state are obtained and can be used for safety monitoring and judging whether the tire working condition meets the vehicle safety operation requirement or not, and meanwhile related tire sensing data can be synchronously uploaded to a cloud end; and remote management and unified management are facilitated.

1. The name of the design product: inflator pump (DK-702 & DK-703). 2. The use of the design product: the design product is used for inflating the tires of cars, bicycles or motorcycles, or inflating air beds, basketballs, etc., and for digital display tire pressure monitoring. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: design 1 perspective view. 5. Design 1 is designated as the basic design.

The invention relates to a method for determining the fuel consumption of a combination (K1 to K8) of a towing vehicle (TR) with a trailer (AN), wherein fuel consumption data (VD) of a fleet of towing vehicles (TR) with trailers (AN) are collected, wherein trailer information relating to the trailer (AN), including an axle configuration, a model (A, B, C, D) and a vehicle identification number (I, 1, 2, 3, 4, 7), a tire pressure, a tire temperature and / or a brake application, is collected in the towing vehicle (TR), wherein vehicle data of the towing vehicle (TR), including energy consumption, route data, speed data, a model (A, B, C, D) and a vehicle identification number (I, 1, 2, 3, 4, 7), is recorded in the towing vehicle (TR), wherein a fuel consumption calculation is performed for a specific combination (K1 to K8) or for a structurally identical combination (K1 to K8) with a towing vehicle (TR). Type (A, B, C,D) and a trailer (AN) of the same type (A, B, C, D) is carried out using the information obtained for this purpose, wherein the consumption data (VD) of the fleet of towing vehicles (TR) with trailers (AN) are collected in a backend (BE) and / or in a cloud, wherein for certain configurations consumption-relevant parameters are resolved according to towing vehicle (TR) and trailer (AN), wherein the trailer information and the vehicle data are transferred to the backend (BE), wherein the consumption calculation is carried out on request in the backend (BE).

The invention discloses a tire inflation and deflation system and a control method thereof. The control method comprises the following steps: acquiring a mode control instruction, and determining a preset theoretical target tire pressure value corresponding to the mode control instruction; obtaining an axle detection instruction, and determining a to-be-detected axle corresponding to the axle detection instruction; periodically acquiring a tire pressure detection value generated by a tire pressure sensor corresponding to the axle to be detected, and determining an axle tire pressure detection value; according to the axle tire pressure detection value in the current period, a preset theoretical target tire pressure value, a preset hysteresis compensation value, a preset inflation compensation value and a preset deflation compensation value, the state of the to-be-detected axle in the current period is determined; and according to the determined state of the to-be-tested axle in the period, adjusting the on-off state of the inflation and deflation combination valve. According to the method, the influence of the fluctuation of the tire pressure detection value in the inflation process or the deflation process is compensated, and the problems that the tire pressure falls back within a period of time after inflation is finished and the tire pressure rises back within a period of time after deflation is finished are solved.

The application provides a kind of steering gear autonomous zero calibration control system and method, system includes: data acquisition module: for obtaining the bus message information required;Vehicle mass calculation module: for calculating vehicle mass;Steering wheel angle calculation module: for calculating the corresponding steering wheel sensor angle value;Tire pressure calculation module: receiving tire pressure sensor measured tire pressure;Straight travel judging module: for in steering controller, according to the wheel rotation angle sensor obtained wheel rotation angle judges whether vehicle is in straight travel state;Zero angle control module: for vehicle zero angle control calibration;Data storage module: for when vehicle learns new zero angle data, save data to corresponding NVRAM.The application solves the problem that when vehicle zero angle deviates from zero due to changes in vehicle mass and tire pressure, causing the steering wheel to be incorrect.

1. Name of the designed product: motorcycle tire pressure sensor (VENU V-Bick). 2. Use of the designed product: the designed product is used for automobile diagnosis. 3. Design points of the designed product: the shape of the product. 4. Picture or photo best indicating the design points: perspective view 1.

The invention relates to the technical field of trackless rubber-tyred vehicles, in particular to an underground trackless rubber-tyred vehicle tire pressure monitoring and early warning method which comprises the steps that real-time road condition images of a roadway bottom plate in front of and / or below a vehicle, real-time tire pressure time sequence signals and vibration signals of a target tire and real-time load and vehicle speed of the trackless rubber-tyred vehicle are synchronously collected; based on the real-time road condition image, the unevenness characteristic parameters of the current driving road surface are quantitatively extracted; the unevenness characteristic parameters, the real-time load and the vehicle speed are jointly input into a preset tire pressure response prediction model, and expected tire pressure fluctuation characteristics corresponding to the current driving working condition are obtained; extracting an actually measured tire pressure fluctuation characteristic from the real-time tire pressure time sequence signal, and calculating a deviation value between the actually measured tire pressure fluctuation characteristic and an expected tire pressure fluctuation characteristic; and judging the tire pressure state of the tire based on the deviation value in combination with the vibration signal, and generating an early warning signal when judging that the tire pressure state is abnormal.

The utility model discloses a tire pressure detection system, and relates to the technical field of tire pressure detection. The device comprises a connecting cylinder, and the connecting cylinder is provided with a sealing assembly, a supporting assembly, an ejector pin assembly, a stirring assembly and a detection assembly. The outer surface of the sealing assembly is slidably arranged in the connecting cylinder, so that the connecting cylinder drives the sealing assembly to be hermetically connected with a tire valve; by rotating the connecting cylinder, the connecting cylinder is matched with the internal thread to be in threaded installation with the tire valve, so that the connecting cylinder can drive the sealing assembly which is arranged inside in a sliding manner to approach one end of the tire valve, and one end of the sealing assembly is in sealed connection with one end of the tire valve; and meanwhile, the sealing assembly can drive one end of the internally-fixed ejector pin assembly to be attached to a valve core of the tire valve, so that gas in the tire can be prevented from being lost in a sealing state, and the detection data of the tire pressure is prevented from being influenced.

The invention relates to an aircraft engine tail TPMS (Tire Pressure Monitor System) structure design method based on machine learning, belongs to the field of aircraft engine thermal protection, and realizes rapid construction of a mapping relation between structure parameters and performance parameters and integration of structure design and manufacturing by utilizing machine learning and a genetic algorithm. The method mainly comprises the following steps: S1, carrying out structure parametric modeling and heat-fluid-solid multi-field coupling finite element automatic analysis on the TPMS porous sandwich thermal protection structure; s2, obtaining a mapping relation between structure parameters and simulation performance parameters of the TPMS porous sandwich thermal protection structure by establishing and training a machine learning model; s3, adopting a genetic algorithm and the trained machine learning model to perform reverse optimization design of the TPMS porous sandwich thermal protection structure; the multifunctional integrated thermal protection structure which is light in weight, high in heat insulation and high in bearing capacity can meet the optimized design requirement, and the thermal protection performance of the tail of an existing aircraft engine is improved.

The invention discloses a vehicle tire repairing method, a vehicle and a tire, and relates to the technical field of tire repairing, the tire internally comprises a repairing agent packaging body and a triggering mechanism, the repairing agent packaging body comprises a repairing agent, and the triggering mechanism is used for damaging the packaging integrity of the repairing agent packaging body. The vehicle tire repairing method comprises the steps that the airflow state in a tire is monitored; and under the condition that it is recognized that the airflow state of the target feature exists in the tire, the triggering mechanism is controlled to be started, so that under the condition that the repairing agent packaging body is incomplete, the repairing agent is released, and the damaged part of the tire is filled with the repairing agent under the action of the air pressure in the tire. According to the method, the tire burst risk caused by slow decrease of the tire pressure can be avoided, and the safety and stability of vehicle driving are improved.

The invention discloses a vehicle tire detection system and method, a vehicle, a storage medium and a program product, relates to the technical field of vehicles, and is used for accurately detecting whether a vehicle tire is abnormal or not. The system comprises a vehicle-mounted reader used for outputting a microwave signal of a first frequency in response to a tire detection signal; the microwave signal is used for driving the passive sensor; the passive sensor is arranged on a tire of the vehicle and is used for receiving the microwave signal, responding to the microwave signal and sending a modulation signal of a second frequency to the vehicle-mounted reader; the modulation signal carries state data of the tire, and the state data of the tire comprises tire pressure and / or temperature of the tire. The first frequency is different from the second frequency. And the vehicle-mounted reader is also used for receiving the modulation signal and sending the modulation signal to the tire detector. And the tire detector is used for receiving the modulation signal and detecting whether the tire is abnormal or not based on the modulation signal.