1355 results about "Tire pressure" patented technology

The invention belongs to the field of vehicle early warning, and particularly relates to a vehicle hidden danger recognition and safety early warning method and device, and the method comprises the following steps: collecting vehicle speed, tire pressure and road condition data, obtaining the states of key parts of an engine and a braking system through combining an OBD system, and achieving the dynamic perception of a whole vehicle; based on a deep learning algorithm, accurately identifying the too short distance of the front vehicle, fatigue driving, overspeed, area deviation, long-term left-occupying driving of a lane, vehicle retrograde driving and abnormal line pressing tracks; through vehicle-mounted OBD data and cloud large model analysis, potential mechanical faults of tire wear and brake pad aging are predicted, and maintenance suggestions are pushed in advance, so that a driver can be reminded of safety, the driving safety is improved, the hidden danger recognition capability is improved, safety preventive warning is performed on hidden dangers, the driving safety is ensured, and the driving safety is improved. Meanwhile, the vehicle can be guided to avoid high-risk or forbidden road sections, and the probability that the vehicle enters a dangerous or forbidden area is reduced.

The invention discloses a tire wear diagnosis method, device and equipment and a storage medium, and the method comprises the steps: generating a tire wear calculation model based on obtained key factors affecting tire wear, wherein the key factors comprise vehicle driving mileage, historical driving road condition information, driving habits, vehicle tire pressure and four-wheel positioning information; and calculating a current tire wear coefficient according to the tire wear calculation model, and diagnosing tire wear by using the current tire wear coefficient. The abnormal condition of tire wear can be effectively identified, a terminal client is reminded of the tire wear state of the vehicle, and the use safety of the vehicle tire is ensured.

The invention discloses a tire pressure health state prediction method based on multi-source data, comprising the following steps: acquiring multi-source data including tire pressure sensor data, vehicle driving data, environment temperature data and historical tire pressure data; the obtained tire pressure sensor data, the vehicle driving data, the environment temperature data and the historical tire pressure data are preprocessed; feature vectors in the tire pressure sensor data, the vehicle driving data, the environment temperature data and the historical tire pressure data are extracted and fused; and training the prediction model by adopting a machine learning algorithm, and outputting a tire pressure health state prediction result. The method has the following advantages and effects that the tire pressure state can be monitored in real time, the environment temperature, the vehicle driving condition and historical data can be comprehensively considered, multi-source data fusion and an intelligent algorithm are applied to tire pressure health state prediction, the adaptability and stability of a prediction model are improved, and the prediction efficiency is improved. And comprehensive safety guarantee is provided for the driver.

Embodiments relates to systems and methods to calculate a tire pressure scheme to be utilized by a tire of a vehicle during a trip, communicate a command to the tire pressure control apparatus, to adjust tire pressure of a tire based on the tire pressure scheme, detect a problem encountered in adjusting the tire pressure of the tire based on the tire pressure scheme, generate an alert regarding the problem via a driver assistance interface, and recommend an action to be taken to mitigate the problem.

The invention discloses an EPB anti-lock control method and system based on a self-adaptive wheel speed filtering algorithm, and belongs to the field of anti-lock control, and the method comprises the following steps: S1, collecting driving parameters in a vehicle driving process in real time, extracting feature vectors in the driving parameters after preprocessing, inputting the feature vectors into a pre-trained driving condition classification model, and obtaining a driving condition classification model; outputting the current driving condition type; s2, correcting a wheel speed signal based on an extended Kalman filter with determined parameters; s3, calculating a tire pressure deviation ratio based on the corrected wheel speed signal; and S4, when it is detected that the tire pressure deviation ratio exceeds a set threshold value, an EPB anti-lock control system is triggered. By the adoption of the EPB anti-lock control method and system based on the self-adaptive wheel speed filtering algorithm, the wheel speed information can be accurately extracted under the complex road and environment conditions, the calculation precision of the tire pressure deviation ratio is remarkably improved, and therefore a more reliable basis is provided for starting emergency braking.

The invention discloses a tire pressure anomaly detection method and device, which can be applied to the technical field of vehicles, and comprises the following steps: determining the ratio of the environment temperature to the current temperature of each tire; determining an underpressure alarm threshold value corresponding to each tire according to the product of each specific value and a recommended air pressure value of the whole vehicle, determining a tire pressure value corresponding to each tire according to the inflation pressure recommended by a vehicle manufacturer for the vehicle model according to the expected application condition of the given vehicle, and determining an underpressure alarm threshold value corresponding to each tire according to the tire pressure value. And comparing the tire pressure value of each tire with the corresponding under-pressure alarm threshold value, and if the tire pressure value is greater than or equal to the under-pressure alarm threshold value, determining that the tire pressure of the corresponding tire is abnormal. According to the method, the environment temperature and the tire temperature are combined for calculation, the environment temperature is considered, the influence of the external environment temperature on the tire pressure can be reduced, the accuracy of tire pressure anomaly detection can be improved, potential safety hazards are reduced, and the experience feeling of a user is improved.

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 relates to the technical field of tire pressure monitoring, in particular to an indirect tire pressure monitoring method and device, a vehicle and a storage medium. The method includes: judging whether a vehicle is in a no-load state based on current mass of the vehicle; if the vehicle is in a no-load state, entering a no-load supervision mode based on a preset no-load correction coefficient and a preset standard frequency, and calculating a standard pulse number of each tire in the mode according to the preset no-load correction coefficient, a gear ratio of the wheel speed sensors of the first front and rear wheel sets and an actual pulse number of each tire; calculating the relative rolling radius characteristic of each tire according to the standard pulse number of each tire; and the relative rolling radius characteristic of each tire is compared with a first preset threshold value, and under the condition that the relative rolling radius characteristic of any tire is larger than the first preset threshold value, it is judged that the corresponding tire of the vehicle is in an underpressure state. Therefore, the problems of missing report and false report in the existing monitoring technology are solved, and the tire pressure monitoring accuracy is improved.

The invention discloses a method for detecting the soil compaction degree of an agricultural tire, solves the problem of how to reduce the adverse consequence of soil compaction, and belongs to the field of agricultural machinery experiments. The method comprises the following steps: paving a pressure sensing film on soil to be detected, pressing a tire on the pressure sensing film at a set roll angle, counting pressure point positions and corresponding pressure values of three areas on the pressure sensing film, and further calculating the pressure sum Pt of each area; obtaining pressure weights wI, wII and wIII of the three regions according to the influence of the roll angle on the pressures of the different regions, and calculating the total pressure PD corresponding to the roll angle according to the formula: PD = PIwI + PIIwII + PIIIwIII; the total pressure PD corresponding to different roll angles theta D is obtained, and the total grounding pressure # imgabs0 # wD is calculated as the influence weight of the roll angles theta D; and calculating the total compaction degree C according to the PZ. According to the method, the influence mechanism of different roll angles of the tire on the ground pressure distribution and the soil compaction degree is quantified, and a quantitative basis is provided for optimizing the tire width, the tire pressure and mechanical operation conditions.

The invention relates to the technical field of wireless communication, and discloses an anti-interference tire pressure sensor pairing method for a whole vehicle production line, which comprises the following steps: S101, sending a low-frequency instruction to a to-be-paired tire pressure sensor through a low-frequency trigger; s102, generating unique authentication data after the tire pressure sensor receives the low-frequency instruction, and feeding back the unique authentication data to the low-frequency trigger through a high-frequency signal; s103, the low-frequency trigger extracts signal features, and after validity and rolling code matching are judged, secondary authentication is carried out; generating authentication response data through the secondary random challenge code, and verifying the authentication response data; if the verification is passed, determining that the matching is successful; s104, writing the verified tire pressure sensor identification data into a tire pressure detection control unit, and carrying out secondary consistency verification; and S105, the tire pressure detection control unit compares the high-frequency analog signal with the tire pressure sensor identification data, and if the result is consistent, pairing is confirmed. According to the invention, high-reliability automatic pairing in a production line environment is realized.

The invention discloses a wheel looseness early warning method and device, a medium and a vehicle, and is applied to the technical field of vehicle control, and the method comprises the steps: obtaining a wheel image, wheel attribute data and driving attribute data of the vehicle; according to the wheel image and the wheel attribute data, target tire pressure detection information and target fastening detection information of the vehicle are obtained; wherein the target tire pressure detection information is used for indicating whether the tire pressure of the wheel is normal or not, and the target fastening detection information is used for indicating whether the mechanical structure of the wheel is fastened or not; if the target tire pressure detection information is used for indicating that the tire pressure of the wheel is abnormal, and / or the target fastening detection information is used for indicating that the mechanical structure of the wheel is not fastened, wheel movement track data of the vehicle is obtained according to the wheel image, the wheel attribute data and the driving attribute data; and based on the wheel movement track data, performing wheel looseness early warning processing on the vehicle. According to the invention, the accuracy of wheel loosening early warning can be effectively improved.

The invention relates to a TPMS-based heat exchanger design method, device, equipment and medium, and belongs to the technical field of porous materials.The TPMS-based heat exchanger design method comprises the steps that an implicit function expression of a TPMS is determined, a TPMS curved surface is constructed based on the implicit function expression, the TPMS curved surface is deviated by a preset deviation amount towards one side or two sides, a first TPMS entity structure is obtained, and a second TPMS entity structure is obtained; with the maximum structural strength and light weight of the heat exchanger as targets, parameters of the implicit function expression of the first TPMS entity structure are subjected to gradient adjustment through a Ramp function, and a second TPMS entity structure is obtained; the optimal performance of the heat exchanger serves as the target, smooth transition is conducted on the fusion area in the second TPMS entity structure through the Sigmoid function so as to complete the design of the heat exchanger, the heat dissipation efficiency and the structural strength of the heat exchanger are improved, and the pressure drop of the heat exchanger is reduced.

The invention belongs to the technical field of tire detection, and particularly relates to a full-automatic tire pressure detection device for an electric bicycle tire, the full-automatic tire pressure detection device comprises a base, a clamping mechanism, a lifting mechanism and a detection mechanism, the base is rotatably connected with a rotating disc; the lifting mechanism is used for driving the detection mechanism to lift, the detection mechanism comprises a connecting seat, and a positioning plate is connected below the connecting seat; the guide frame is vertically and fixedly connected with the positioning plate; the guide frame is connected with a movable seat, the movable seat is fixedly connected with a fixed plate, and the fixed plate is connected with a detection joint matched with a tire valve; the detector is connected with the detection joint through an air pipe; the clamping mechanism drives the tire to rotate, the inflating valve is rotated to the position below the detection mechanism, the lifting mechanism drives the detection mechanism to descend, in the descending process, the detection connector is automatically connected with the tire inflating valve in an aligned mode, and therefore the tire pressure is automatically detected, and the detection efficiency is high.

The invention relates to a multifunctional tire monitoring method and system capable of sensing tire parameters, and the method comprises the steps: firstly, obtaining tire temperature, tire pressure and acceleration data of tires at all wheel positions in real time through a tire sensor, and transmitting the tire temperature, tire pressure and acceleration data to a tire pressure controller; secondly, the tire pressure controller obtains the tire load of the tire at each wheel position according to tire temperature, tire pressure and acceleration data processing; then, the calibrated tire pressure corresponding to the tire load of the tire at each wheel position is inquired, and the calibrated tire pressure is compared with the real-time tire pressure; when the absolute value of the difference value between the calibrated tire pressure and the real-time tire pressure exceeds a set threshold value, the tire load and the difference value are sent to an inflation and deflation controller; and finally, the inflation and deflation controller performs inflation and deflation control on the tire according to the difference value, so that the real-time tire pressure of the tire tends to the calibrated tire pressure. The tire pressure of the tire can be adjusted in real time according to the load change of the tire, the abnormal wear of the tire, especially the wear of a tire shoulder, can be effectively reduced, the average service life of the tire is prolonged, and the cost is saved.

The invention relates to a prompting method and device, a vehicle, a medium and a program product. The prompting method comprises the steps that tire pressure information of a tire is obtained; analyzing the tire sound signal acquired by the sound acquisition device, and determining tire noise information; and executing tire information prompt according to the tire noise information and the tire pressure information. Tire detection is performed in combination with the tire sound signal and the tire pressure information, so that the accuracy and reliability of tire detection are improved, and the accuracy of tire information prompt 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 discloses a driving capability improvement control method and system for an unmanned vehicle. The method comprises the step of realizing road condition perception and tire pressure optimization through vehicle cloud cooperation. A front vehicle collects road surface data and uploads the road surface data to a cloud server after preprocessing, and the server carries out aggregation analysis and constructs and updates a road surface state map. The rear vehicle requests road condition data, verification is carried out, remote data and local data are fused after weight distribution, and road surface state estimation is generated. And calculating a road surface friction coefficient and a weather influence factor based on the fused data, processing tire temperature data, monitoring a load-carrying vehicle speed, formulating an adjusting strategy, and carrying out modeling solving to obtain the optimal tire pressure. And an adjusting strategy is generated according to the optimal tire pressure, differential tire pressure control is implemented, adjustment is executed through closed-loop and predictive control, the effect is monitored in real time, and data are uploaded to a cloud optimization system. The control stability and trafficability of the vehicle under complex road conditions are effectively improved, and driving safety and riding comfort are guaranteed.

The invention provides a gantry crane tire monitoring method, and relates to the technical field of tire pressure monitoring. Comprising the following steps: S1, arranging a pressure sensor for monitoring tire pressure in each tire of the gantry crane; s2, all the pressure sensors upload monitored tire pressure data to the cloud platform every first set time; s3, after the cloud platform receives the tire pressure, a plurality of first sequences are constructed, and the first sequences comprise tire pressure data, uploaded at different times, of the same tire; s4, whether tire pressure abnormity exists or not is judged according to the first sequence; and S5, if the tire pressure is abnormal, sending an automatic inflation and deflation request or sending a tire damage alarm. According to the invention, automatic monitoring of the tire pressure is realized, different conditions of abnormal tire pressure can be accurately judged, and corresponding automatic inflation and deflation are carried out or a maintenance alarm is given out.

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 discloses a vehicle RM I anti-rolling regulation and control method fusing load and tire pressure estimation, and belongs to the field of vehicle safety, and the method comprises the following steps: S1, obtaining vehicle chassis pressure data, suspension displacement data and tire pressure data in real time; s2, estimating and optimizing load distribution based on the acquired data; s3, realizing adaptive adjustment of an RM I trigger threshold based on an optimized load distribution estimation result and a driving condition; and S4, judging whether a trigger threshold value is reached or not under the current driving working condition, if so, executing a preset anti-rolling control strategy, and otherwise, returning to the step S1 for continuous monitoring. According to the vehicle RM I anti-rolling regulation and control method fusing the load and the tire pressure estimation, the load distribution is accurately estimated through multi-source data fusion, high-precision and intelligent regulation and control of vehicle rolling prevention are achieved in combination with self-adaptive threshold adjustment and a multi-system cooperative control strategy, and the safety and stability of driving under complex working conditions are remarkably improved.

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 relates to the technical field of automobile tire pressure sensors, and discloses an automobile tire pressure data analysis method which comprises the following steps: acquiring original automobile tire pressure data and parameter configuration information corresponding to the original automobile tire pressure data; analyzing the data area data according to the configuration area data to obtain level sample point segment data; determining a period deviation range and a pulse width deviation range of the automobile tire pressure data according to the parameter configuration information; filtering the level sample point segment data according to the period deviation range and the pulse width deviation range; determining target level sample point segment data from the filtered level sample point segment data according to a sampling baud rate and a first level jump moment of each frame of data of the filtered level sample point segment data; encoding the target level sample point segment data according to the data encoding format to obtain target data; and analyzing the target data to obtain automobile tire pressure data. In this way, the efficiency and reliability of function testing of the automobile tire pressure sensor are 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 tire pressure monitoring device and method based on a passive RFID temperature tag. The tire pressure monitoring device comprises the passive RFID temperature tag, a reader-writer module and a data processing unit. And the passive RFID temperature measurement tag is fixed on the inner wall of the tire, receives the radio frequency energy sent by the reader-writer module, and collects the internal temperature of the tire in real time. The reader-writer module is fixed near a hub of a vehicle, performs polling communication with the passive RFID temperature measurement tag through a multi-band radio frequency technology, and transmits tire internal temperature data returned by the passive RFID temperature measurement tag to the data processing unit. And the data processing unit indirectly derives the tire pressure by utilizing a thermodynamic equation and combining parameters such as tire structure change, vehicle speed and load, so that high-precision and low-power-consumption tire pressure monitoring is realized. According to the method, the tire structure does not need to be damaged, non-contact pressure estimation and dynamic modeling can be achieved, and the method has the advantages of being simple in structure, high in reliability, wide in applicability and the like.

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 relates to a tire pressure information data transmission method. The method comprises the following steps: S1, a relay receiver receives tire pressure data sent by a plurality of tire pressure sensors through a wireless channel in a receiving time period; s2, the relay receiver transmits the comprehensive tire pressure information to a tire pressure host through a wired data connection line in the sending time period; s3, the tire pressure host selects a precise display mode or a fuzzy feedback mode to output tire pressure information according to the vehicle state; wherein in the precise display mode, precise pressure values and temperature data of all tires are displayed through a vehicle-mounted display screen preset on a vehicle; and in the fuzzy feedback mode, the tire pressure state information is transmitted through the combination of a tactile feedback device and an LED indicating lamp which are preset on the vehicle. The anti-interference performance and timeliness of tire pressure data transmission can be greatly improved.

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 present invention discloses a vehicle safety monitoring system. The system includes a tire pressure real-time monitoring and warning unit as a perception layer of the Internet of Things, a vehicle overheat detection and warning unit and / or an explosion prevention and control unit of a lithium-ion power battery of a new energy vehicle, an on-board gateway unit as a transport layer of the Internet of Things, and an alarm prompt unit and a remote management unit as an application layer of the Internet of Things. When the vehicle is in danger, a driver is provided an acousto-optic warning and alarm or a voice prompt to remind the driver to get off for inspection and processing in time. Through a battery explosion suppression module, the explosion warning and alarm condition of the power battery is automatically handled to prevent occurrences of a traffic safety accident and events.