CN114379482A - Tire maintenance prediction method and apparatus, and computer-readable storage medium - Google Patents
Tire maintenance prediction method and apparatus, and computer-readable storage medium Download PDFInfo
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R16/00—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for
- B60R16/02—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for electric constitutive elements
- B60R16/023—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for electric constitutive elements for transmission of signals between vehicle parts or subsystems
- B60R16/0231—Circuits relating to the driving or the functioning of the vehicle
- B60R16/0232—Circuits relating to the driving or the functioning of the vehicle for measuring vehicle parameters and indicating critical, abnormal or dangerous conditions
- B60R16/0234—Circuits relating to the driving or the functioning of the vehicle for measuring vehicle parameters and indicating critical, abnormal or dangerous conditions related to maintenance or repairing of vehicles
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60C—VEHICLE TYRES; TYRE INFLATION; TYRE CHANGING; CONNECTING VALVES TO INFLATABLE ELASTIC BODIES IN GENERAL; DEVICES OR ARRANGEMENTS RELATED TO TYRES
- B60C11/00—Tyre tread bands; Tread patterns; Anti-skid inserts
- B60C11/24—Wear-indicating arrangements
- B60C11/246—Tread wear monitoring systems
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Abstract
The invention discloses a tire maintenance prediction method and device and a computer readable storage medium, and belongs to the technical field of vehicle maintenance management. According to the invention, tire parameters of the vehicle under the current working condition are obtained; the tire parameters comprise at least one of vehicle load, vehicle speed, Z-direction acceleration, yaw moment, tire temperature and tire pressure; inputting the tire parameters into a service life prediction model trained in advance, so that the service life prediction model predicts the tire life of the vehicle according to the tire parameters; according to the technical scheme, when the service life of the tire reaches the preset threshold value, the tire replacement reminding information corresponding to the vehicle is generated, and the tire replacement reminding information is sent to the user terminal to remind a user of replacing the tire, so that the problem that the abrasion condition of the tire under different use conditions cannot be accurately determined is solved, the service life of the tire is predicted through the technical scheme, and the tire is maintained in time according to the service life of the tire.
Description
Technical Field
The invention relates to the technical field of vehicle maintenance management, in particular to a tire maintenance prediction method and device and a computer-readable storage medium.
Background
A tire is a ground-rolling circular ring-shaped elastic rubber article mounted on various vehicles or machines. Generally mounted on a metal rim, and is capable of supporting a vehicle body, buffering external impact, achieving contact with a road surface and ensuring the driving performance of a vehicle. In order to ensure the mileage and performance of the tire, the tire pressure and the tire wear of the tire need to be checked and maintained regularly. At present, the tire is usually replaced according to a fixed kilometer number or fixed time, but under different use conditions, the wear condition of the tire is different, the wear condition of the tire under different use conditions cannot be accurately determined, inconvenience is caused to the maintenance of the tire, and even serious safety problems are caused.
The above is only for the purpose of assisting understanding of the technical aspects of the present invention, and does not represent an admission that the above is prior art.
Disclosure of Invention
The invention mainly aims to provide a tire maintenance prediction method, tire maintenance prediction equipment and a computer readable storage medium, and aims to solve the technical problem that the wear condition of a tire under different use working conditions cannot be accurately determined.
To achieve the above object, the present invention provides a tire maintenance prediction method, including:
obtaining tire parameters of a vehicle under the current working condition; the tire parameters comprise at least one of vehicle load, vehicle speed, Z-direction acceleration, yaw moment, tire temperature and tire pressure;
inputting the tire parameters into a service life prediction model trained in advance, so that the service life prediction model predicts the tire life of the vehicle according to the tire parameters;
and when the service life of the tire reaches a preset threshold value, generating tire replacement reminding information corresponding to the vehicle, and sending the tire replacement reminding information to a user terminal so as to remind a user of replacing the tire.
In this embodiment, the prediction model includes a first prediction model and a second prediction model; before the step of obtaining tire parameters of the vehicle under the current working condition, the method further comprises the following steps:
detecting whether a tire pressure monitoring system is installed on a vehicle or not;
the step of obtaining the tire parameters of the vehicle under the current working condition comprises the following steps:
when the tire pressure monitoring system is installed on the vehicle, the temperature and the tire pressure of the tire detected by the tire pressure monitoring system under the current working condition of the vehicle are acquired;
when the tire pressure monitoring system is not installed on the vehicle, acquiring the vehicle load, the vehicle speed, the Z-direction acceleration and the yaw moment of the vehicle under the current working condition;
the step of inputting the tire parameters into a service life prediction model trained in advance so that the service life prediction model predicts the tire life of the vehicle according to the tire parameters comprises the following steps:
when the obtained tire pressure parameters are tire temperature and tire pressure, inputting the tire temperature and the tire pressure into a first prediction model; wherein the first predictive model includes a mapping relationship between tire temperature, tire pressure, and tire life;
inputting the tire pressure parameters of vehicle load, vehicle speed, Z-direction acceleration and yaw moment into a second prediction model when the acquired tire pressure parameters are the vehicle load, the vehicle speed, the Z-direction acceleration and the yaw moment; the second prediction model comprises a mapping relation among load samples, vehicle speed samples, Z-direction acceleration samples, yaw moment samples and tire service life.
In this embodiment, before the step of obtaining the tire parameters of the vehicle under the current operating condition, the method further includes:
acquiring a steering wheel angle of a vehicle, and determining a running state of the vehicle according to the steering wheel angle of the vehicle;
when the driving state of the vehicle is a straight line driving state, acquiring position information of the vehicle;
determining an offset value of the vehicle according to the position information;
and when the offset value of the vehicle is in a first offset interval, executing the step of detecting whether the vehicle is provided with the tire pressure monitoring system.
In this embodiment, after the step of determining the offset value of the vehicle according to the position information, the method further includes:
and when the deviation value of the vehicle is in a second deviation interval, generating four-wheel positioning correction information and sending the four-wheel positioning correction information to a user terminal so as to remind a user of positioning correction on the tire of the vehicle.
In this embodiment, before the step of obtaining the tire parameters of the vehicle under the current operating condition, the method further includes:
when a vehicle starting instruction is detected, obtaining a maintenance record of the tire of the current vehicle;
and when the four-wheel positioning function of the vehicle is determined to be qualified according to the maintenance record of the tire, the step of acquiring the steering wheel angle of the vehicle and determining the running state of the vehicle according to the steering wheel angle of the vehicle is executed.
In this embodiment, the tire maintenance prediction method further includes:
and when the four-wheel positioning function of the vehicle is determined to be unqualified according to the maintenance record of the tire, sending the four-wheel positioning correction information to a user terminal so as to remind a user of performing positioning correction on the tire of the vehicle.
In this embodiment, after the step of inputting the tire parameters into a service life prediction model trained in advance so that the service life prediction model predicts the tire life of the vehicle according to the tire parameters, the method further includes:
when the change of the maintenance record of the tire is detected, acquiring the evaluation information of the tire corresponding to the change of the maintenance record;
and updating the service life prediction model by using the evaluation information of the tire.
Further, to achieve the above object, the present invention also provides a tire maintenance prediction apparatus including: a memory, a processor, and a tire care prediction program stored on the memory and executable on the processor, the tire care prediction program when executed by the processor implementing the steps of the tire care prediction method as described above.
In order to achieve the above object, the present invention also provides a computer-readable storage medium storing a tire service prediction program that, when executed by a processor, implements the steps of the tire service prediction method described above.
According to the technical scheme of the tire maintenance prediction method, the tire maintenance prediction equipment and the computer readable storage medium, tire parameters of a vehicle under the current working condition are obtained, and the tire parameters are input into a corresponding service life prediction model, so that the service life prediction model predicts the tire life of the vehicle according to the tire parameters. And after the service life of the tire is obtained, comparing the service life of the tire with a preset threshold, when the service life of the tire reaches the preset threshold, indicating that the abrasion condition of the tire at the moment is serious, generating tire replacement reminding information corresponding to the vehicle, and sending the tire replacement reminding information to a user terminal so as to remind a user of replacing the tire. Through the technical scheme of the invention, the service life of the tire under different working conditions can be predicted, the technical problem that the abrasion condition of the tire under different working conditions cannot be accurately determined is solved, and the risk caused by improper maintenance of the tire is reduced.
Drawings
FIG. 1 is a schematic flow chart illustrating a first exemplary method of maintaining a tire in accordance with the present invention;
FIG. 2 is a schematic flow chart illustrating a first exemplary embodiment of a method for predicting tire maintenance in accordance with the present invention;
FIG. 3 is a flowchart illustrating a tire maintenance prediction method according to a second embodiment of the present invention before step S110;
FIG. 4 is a flowchart illustrating a tire maintenance prediction method according to a third embodiment of the present invention before step S110;
FIG. 5 is a schematic flow chart illustrating a fifth embodiment of a method for predicting tire maintenance in accordance with the present invention;
FIG. 6 is a schematic diagram of a tire service prediction apparatus according to the present invention.
The objects, features, and advantages of the present invention will be further explained with reference to the accompanying drawings, which are an illustration of one embodiment, and not an entirety of the invention.
Detailed Description
For a better understanding of the above technical solutions, exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
The technical solution of the present invention will be described below by way of example:
the first embodiment:
as shown in fig. 1, in a first embodiment of the present invention, a tire maintenance prediction method according to the present invention includes the steps of:
step S110, obtaining tire parameters of a vehicle under the current working condition; the tire parameters comprise at least one of vehicle load, vehicle speed, Z-direction acceleration, yaw moment, tire temperature and tire pressure;
in the embodiment, the problem that the wear condition of the tire of the vehicle under different use conditions cannot be accurately determined is solved. The invention provides a tire maintenance prediction method. The method can obtain tire parameters of vehicles under different working conditions, and the tire parameters are input into a pre-trained prediction model, so that the service life of the tire is obtained. After the tire life is obtained, the tire life is compared with a preset threshold. And when the service life of the tire reaches a preset threshold value, generating tire replacement reminding information of the vehicle, and reminding a user of replacing the tire.
In this embodiment, the operating conditions of different vehicles are different, and the operating conditions of the vehicles can be determined according to the load, the road gradient, the road type, such as dimensions of plain, mountain, and the like. The wear of the tires determined is different under different operating conditions of the vehicle, i.e. the service life of the tires is influenced by the operating conditions of the vehicle. Therefore, the tire maintenance prediction device can acquire the tire parameters of the vehicle under the current working condition, and analyze the tire life of the vehicle according to the tire parameters. Wherein the tire parameter includes at least one of vehicle load, vehicle speed, Z-direction acceleration, yaw moment, tire temperature, and tire pressure. Optionally, the tire parameter is a parameter acquired in real time during the running process of the tire. For example, a tire pressure monitoring system may be installed on each wheel and the tire pressure and temperature of each wheel may be monitored by the tire pressure monitoring system. The tire parameters can also be determined by a detection sensor on the whole vehicle, for example, the tire parameters such as the load, the speed, the Z-direction acceleration, the yaw moment of the vehicle can be obtained by installing a sensor such as an acceleration sensor or a pressure sensor at a preset position of the whole vehicle.
Step S120, inputting the tire parameters into a service life prediction model trained in advance, so that the service life prediction model predicts the tire life of the vehicle according to the tire parameters;
in this embodiment, after obtaining the tire parameters, the tire parameters may be input into a service life prediction model trained in advance to obtain the tire life. The service life prediction model is used for predicting the service life of the tire, the service life prediction model comprises a first prediction model and a second prediction model, and the prediction models are obtained according to tire parameters under different sample working conditions. The corresponding prediction model can be selected to predict the tire life according to the actual situation. For example, a corresponding predictive model may be determined to predict tire life based on detecting whether a vehicle is equipped with a tire pressure monitoring system.
Specifically, in the test research and development stage of the whole vehicle, the whole vehicle is controlled to run under different sample working conditions, and tire sample parameters of the whole vehicle under different sample working conditions are collected in real time, so that the corresponding prediction model is trained through the tire sample parameters. Wherein,
firstly, aiming at a first prediction model training process corresponding to the installed tire pressure monitoring system:
the tire temperature and the tire pressure under different sample working conditions can be obtained by installing a tire pressure monitoring system on each wheel of the whole vehicle. Determining the service life corresponding to the tire temperature and the tire pressure, and training a first prediction model by adopting the mapping relation among the tire temperature, the tire pressure and the service life. Determining the service life corresponding to the tire temperature and the tire pressure, wherein the process of training a first prediction model by adopting the mapping relation among the tire temperature, the tire pressure and the service life comprises the following steps: for example, the whole vehicle is controlled to run for 10km under the condition that the first sample working condition is a high mountain road and the load is 1 ton, the tire pressure and the tire temperature of the whole vehicle in the running process under the first sample working condition are recorded based on the preset time interval, the tire pattern condition of the whole vehicle in the same preset time interval is recorded, and the tire service life is further determined according to the tire pattern condition. And establishing a mapping relation among the tire pressure, the tire temperature and the tire service life, and iteratively training a first prediction model based on the mapping relation. The tire temperature and the tire pressure have corresponding weighting coefficients, the mapping relations between the tire temperature and the tire life and between the tire pressure and the tire life can be respectively determined, and when the first prediction model is trained, the tire temperature and the tire pressure need to be multiplied by the corresponding weighting coefficients respectively and then accumulated, so that the service life of the tire with the tire pressure monitoring system is obtained.
In an embodiment, the tire pressure and the tire temperature of the whole vehicle after the operation under the first sample working condition is finished can be directly obtained, the service life of the tire is determined according to the pattern condition of the tire, the mapping relation among the tire pressure, the tire temperature and the service life of the tire is established, and the first prediction model is iteratively trained based on the mapping relation.
In one embodiment, the whole vehicle can be controlled to run for 20km under the working condition that the second sample working condition is a flat road and the load is 1.5 tons, and the service life of the tire is determined according to the tire pattern. By the method, the tire life of the whole vehicle under the second sample working condition can be obtained, the mapping relation between the tire life under the second sample working condition and the tire pressure and the tire temperature at the end of the second sample working condition is established, and the first training model is iteratively trained based on the mapping relation. And accumulating the service life of the tire under the first sample working condition and the service life of the tire under the second sample working condition to obtain the service life of the tire.
Secondly, aiming at a second prediction model training process without installing a tire pressure monitoring system:
the tire parameters such as the load, the speed, the Z-direction acceleration, the yaw moment and the like of the vehicle can be acquired by installing sensors such as an acceleration sensor or a pressure sensor at the preset position of the whole vehicle. And determining the service lives corresponding to the vehicle load, the vehicle speed, the Z-direction acceleration and the yaw moment, and training a second prediction model by adopting the mapping relation among the vehicle load, the vehicle speed, the Z-direction acceleration, the yaw moment and the corresponding service lives. The vehicle load, the vehicle speed, the Z-direction acceleration and the yaw moment all have corresponding weighting coefficients, mapping relations between the vehicle load and the tire life, between the vehicle speed and the tire life, between the Z-direction acceleration and the tire life, and between the yaw moment and the tire life can be respectively determined, and when the second prediction model is trained, the vehicle load, the vehicle speed, the Z-direction acceleration and the yaw moment need to be respectively multiplied by the corresponding weighting coefficients and then accumulated, so that the second prediction model corresponding to the tire pressure monitoring system is obtained.
And S130, when the service life of the tire reaches a preset threshold value, generating tire replacement reminding information corresponding to the vehicle, and sending the tire replacement reminding information to a user terminal to remind a user of replacing the tire.
In this embodiment, after the tire life is obtained by the prediction model, the tire life is compared with a preset threshold. The preset threshold values corresponding to vehicles of different models are different. The preset threshold value is the service life of a vehicle calibrated in advance, and can be determined according to the wear condition of the tire of the vehicle of the type after the vehicle runs for the preset mileage. When the service life of the tire reaches the preset threshold value, the tire is seriously worn and needs to be replaced in time.
Specifically, when the tire maintenance prediction device detects that the service life of the tire reaches a preset threshold value, a tire replacement reminding signal corresponding to the vehicle is generated. The tire-replacement warning signal may include information on the model of the vehicle, the manufacturer of the vehicle, a malfunction of the vehicle, and the like. The tire replacement reminding signal can be sent to the user terminal through the tire maintenance prediction device to remind a user of replacing the tire in time. The user terminal can be a mobile phone, a computer and other intelligent terminals of a user to which the vehicle belongs. And sending the tire replacement reminding signal to an intelligent terminal of a user to remind the user of replacing the tire. The user terminal may also be an intelligent terminal to which a vendor belongs, and a DMS (sales system) is installed on the intelligent terminal of the vendor. The user terminal may also be an intelligent terminal to which the manufacturer belongs, and an ES (production system) is installed on the intelligent terminal of the generator. And sending the tire replacement reminding signal to intelligent terminals of manufacturers and sellers so as to update the maintenance records of the tires.
Alternatively, after the tire maintenance, the maintenance records of the DMS (sales system) and the ES (production system) are updated simultaneously. Meanwhile, the tire maintenance prediction apparatus acquires evaluation information of the used tire. The used tire is the evaluation information of the corresponding tire when the maintenance record changes. The evaluation information of the used tire includes the tire pattern of the used tire, the historical mileage of the used tire, the tire pressure of the used tire, and the like. After the evaluation information of the used tire is obtained, the service life prediction model is updated by adopting the evaluation information of the used tire, so that the prediction result of the tire service life is more accurate. Wherein the process of updating the service life prediction model using the evaluation information of the used tire includes: and updating a tire service life prediction model corresponding to the whole vehicle model to which the used tire belongs by adopting the evaluation information of the used tire. Specifically, the weighting coefficients corresponding to the tire parameters in the service life prediction model may be updated using the evaluation information of the used tires. For example, the actual service life of the old tire is determined according to the tire pressure of the old tire, and a preset tire pressure corresponding to the actual service life of the old tire is obtained by looking up a table. And adjusting a weighting coefficient corresponding to the preset tire pressure to enable the product of the preset tire pressure and the weighting coefficient to be equal to the actual service life, so that the service life prediction model is updated.
In the technical scheme of the embodiment, the tire parameters of the vehicle under the current working condition are acquired, the tire parameters are input into the corresponding prediction model, and the service life of the tire is obtained through the preset model. And after the service life of the tire is obtained, comparing the service life of the tire with a preset threshold, when the service life of the tire reaches the preset threshold, indicating that the abrasion condition of the tire at the moment is serious, generating tire replacement reminding information corresponding to the vehicle, and sending the tire replacement reminding information to a user terminal so as to remind a user of replacing the tire. Through the technical scheme of the invention, the service life of the tire under different working conditions can be predicted, the technical problem that the abrasion condition of the tire under different working conditions cannot be accurately determined is solved, and the risk caused by improper maintenance of the tire is reduced.
Second embodiment:
as shown in fig. 2, in the second embodiment of the present invention, step S220 in the second embodiment precedes step S110 in the first embodiment, and steps S111 to S112 are the thinning steps of step S110 in the first embodiment, and steps S121 to S122 are the thinning steps of step S120 in the first embodiment. The method comprises the following steps:
step S110, obtaining tire parameters of a vehicle under the current working condition; the tire parameters comprise at least one of vehicle load, vehicle speed, Z-direction acceleration, yaw moment, tire temperature and tire pressure;
step S220, detecting whether a tire pressure monitoring system is installed on the vehicle;
if yes, executing step S111, and acquiring the tire temperature and the tire pressure detected by the tire pressure monitoring system of the vehicle under the current working condition;
if not, executing step S112, and acquiring the vehicle load, the vehicle speed, the Z-direction acceleration and the yaw moment of the vehicle under the current working condition;
step S121, when the obtained tire pressure parameters are tire temperature and tire pressure, inputting the tire temperature and the tire pressure into a first prediction model; wherein the first predictive model includes a mapping relationship between tire temperature, tire pressure, and tire life;
step S122, when the obtained tire pressure parameters are vehicle load, vehicle speed, Z-direction acceleration and yaw moment, inputting the tire pressure parameters into a second prediction model, wherein the vehicle load, the vehicle speed, the Z-direction acceleration and the yaw moment are vehicle load; the second prediction model comprises a mapping relation among load samples, vehicle speed samples, Z-direction acceleration samples, yaw moment samples and tire service life.
And S130, when the service life of the tire reaches a preset threshold value, generating tire replacement reminding information corresponding to the vehicle, and sending the tire replacement reminding information to a user terminal to remind a user of replacing the tire.
In this embodiment, the corresponding predictive model may be determined based on whether the tire pressure monitoring system is installed in the vehicle under test, thereby resulting in the tire life. The tire pressure monitoring system can be divided into two types: one is an indirect tire pressure monitoring system, which judges whether the tire is abnormal or not through the rotation speed difference of the tire; the other type is a direct type tire pressure monitoring system, four tire pressure monitoring sensors are additionally arranged in a tire, so that the pressure and the temperature of the tire are automatically monitored in real time in the static or driving process of the automobile, and the high pressure, the low pressure and the high temperature of the tire are alarmed in time, so that traffic accidents caused by tire faults are avoided, and the driving safety is ensured.
In the present embodiment, the prediction model of the present invention includes a first prediction model and a second prediction model. Specifically, when the fact that the tire pressure monitoring system is installed on the vehicle is detected, the prediction model is determined to be a first prediction model. The first prediction model comprises a mapping relation between tire temperature and tire pressure and the service life of a tire, and the tire temperature and the tire pressure are detected under different sample working conditions according to the whole vehicle in the test process. The training process of the first prediction model may refer to the first embodiment, and is not described herein again. And acquiring the temperature and the tire pressure of each tire detected by the tire pressure monitoring system under the current working condition of the vehicle. And inputting the tire temperature and the tire pressure into a first prediction model to obtain the service life of the tire.
In this embodiment, the corresponding predictive model may be determined based on whether the tire pressure monitoring system is installed in the vehicle under test, thereby resulting in the tire life. Specifically, when it is detected that the tire pressure monitoring system is not installed on the vehicle, the prediction model is determined to be a second prediction model. And the vehicle load, the vehicle speed, the Z-direction acceleration and the yaw moment are obtained by detecting the whole vehicle under different sample working conditions in the test process. The second prediction model comprises a mapping relation among a load sample, a vehicle speed sample, a Z-direction acceleration sample, a yaw moment sample and the service life of the tire, and each tire parameter has a corresponding weighting coefficient. The training process of the second prediction model may refer to the first embodiment, and is not described herein again. And acquiring the vehicle load, the vehicle speed, the Z-direction acceleration and the yaw moment of the vehicle under the current working condition. And inputting the vehicle load, the vehicle speed, the Z-direction acceleration and the yaw moment into a second prediction model, and obtaining the service life of the tire according to the vehicle load, the vehicle speed, the Z-direction acceleration, the yaw moment and corresponding weighting coefficients.
In the technical scheme of the embodiment, whether the tire pressure monitoring system is installed on a vehicle or not is detected, whether the tire pressure monitoring system is installed on the vehicle or not is detected, when the tire pressure monitoring system is installed on the vehicle, the tire temperature and the tire pressure of the vehicle under the current working condition are obtained and input into the first prediction model, so that the service life of the tire is obtained, and when the tire pressure monitoring system is not installed on the vehicle, the vehicle load, the vehicle speed, the Z-direction acceleration and the yaw moment of the vehicle under the current working condition are obtained and input into the second prediction model, so that the service life of the tire is predicted.
The third embodiment:
as shown in fig. 3, in the third embodiment of the present invention, before step S110 based on the second embodiment, the following steps are further included:
step S310, acquiring a steering wheel angle of a vehicle, and determining a running state of the vehicle according to the steering wheel angle of the vehicle;
step S320, when the driving state of the vehicle is a straight line driving state, acquiring the position information of the vehicle;
step S330, determining an offset value of the vehicle according to the position information;
step S340, judging whether the deviation value of the vehicle is in a first deviation interval;
if yes, execute the step S220: detecting whether a tire pressure monitoring system is installed on a vehicle or not;
if not, go to step S350: and when the deviation value of the vehicle is in a second deviation interval, generating four-wheel positioning correction information and sending the four-wheel positioning correction information to a user terminal so as to remind a user of positioning correction on the tire of the vehicle.
In this embodiment, the steering wheel angle of the vehicle is acquired after the vehicle has traveled for a certain period of time, or after the vehicle has traveled for a certain distance. Wherein the steering wheel angle may be determined by a steering wheel angle sensor. The steering wheel angle sensor is a component of a vehicle stability control system, is mainly installed in a steering column below a steering wheel, is generally connected with a PCM through a CAN bus, and CAN be divided into an analog steering wheel angle sensor and a digital steering wheel angle sensor.
In the present embodiment, after the steering wheel angle of the vehicle is acquired, the running state of the vehicle is determined in accordance with the steering wheel angle of the vehicle. Wherein the running state of the vehicle includes a straight running state and a non-straight running state, wherein a degree of fluctuation of the steering wheel angle of the vehicle in the straight running state is smaller than a degree of fluctuation of the steering wheel angle in the non-straight running state. The running state of the vehicle may be determined according to the degree of fluctuation of the steering wheel angle. And when the driving state of the vehicle is a straight line driving state, acquiring the position information of the vehicle. Wherein the location information of the vehicle can be obtained from a GPS sensor on the vehicle. And comparing the position information with the position information of the vehicle in the linear running state calibrated in advance, so as to determine the deviation value of the vehicle. When the offset value of the vehicle is in the first offset interval, the vehicle is indicated to run relatively stably at the moment. And returning to the step of detecting whether the vehicle is provided with the tire pressure monitoring system or not, thereby further predicting the service life of the tire.
Alternatively, when the offset value of the vehicle is in the second offset interval, which indicates that the vehicle is not running stably, the tire wear condition may be relatively serious. At the moment, four-wheel positioning correction information is generated and sent to a user terminal so as to remind a user of positioning correction on the tire of the vehicle. After the user positions and corrects the tire of the vehicle, returning to execute the step of obtaining the tire parameter of the vehicle under the current working condition, wherein the tire parameter comprises at least one of vehicle load, vehicle speed, Z-direction acceleration, yaw moment, tire temperature and tire pressure; inputting the tire parameters into a prediction model to obtain the tire service life, wherein the prediction model is obtained by training according to tire parameter samples under different sample working conditions; and when the service life of the tire reaches a preset threshold value, generating tire replacement reminding information corresponding to the vehicle, and sending the tire replacement reminding information to a user terminal so as to remind a user of replacing the tire.
In the technical scheme of the embodiment, the driving state of the vehicle is determined by obtaining the steering wheel angle of the vehicle after the vehicle drives for a period of time, when the driving state is a straight driving state, the position information of the vehicle is obtained, the offset value of the vehicle is further determined according to the position information, and the corresponding action is executed according to the offset interval where the offset value is located, so that the user terminal is informed to replace the tire, and the management and monitoring of the tire are realized.
The fourth embodiment:
as shown in fig. 4, in a fourth embodiment of the present invention, before step S110 according to the third embodiment, a tire maintenance prediction method according to the present invention includes the steps of:
step S410, when a vehicle starting instruction is detected, obtaining a maintenance record of the tire of the current vehicle;
step S420, determining whether the four-wheel positioning function of the vehicle is qualified according to the maintenance record of the tire;
if yes, executing the step S310, obtaining a steering wheel angle of a vehicle, and determining the driving state of the vehicle according to the steering wheel angle of the vehicle;
if not, executing step S430, and sending the four-wheel positioning correction information to a user terminal to remind a user of performing positioning correction on the tire of the vehicle.
In the embodiment, the four-wheel positioning is based on four-wheel parameters of the vehicle, and is adjusted to ensure good driving performance of the vehicle and have certain reliability. Therefore, at the instant of vehicle start-up, a maintenance record of the current vehicle's tires is acquired. In this case, maintenance records of the vehicle are stored in the MES (production system) and the DMS (sales system). The maintenance record of the vehicle can be queried through the MES (manufacturing System) and the DMS (sales System) to determine whether the four-wheel positioning function of the vehicle is qualified according to the maintenance record. Optionally, before querying the maintenance record of the vehicle, the user of the vehicle needs to have access rights of the MES (production system) and the DMS (sales system). After the authority verification of the user to which the vehicle belongs is successful, the maintenance record of the vehicle is inquired through MES (manufacturing system) and DMS (sales system). Wherein, each time the vehicle is maintained, a maintenance record is generated, and the maintenance record can be recorded in the MES (production system) and the DMS (sales system), and the contents of the maintenance record can include: maintenance items, maintenance time, maintenance mode, and maintenance results. For example, the maintenance event may be an event such as unstable tire pressure. The maintenance mode can be positioning by four wheels; the repair result may be resolved or unresolved. And when the maintenance result of the unstable tire pressure item recorded by the MES (production system) and the DMS (sales system) is not solved, indicating that the four-wheel positioning function is unqualified. Otherwise, the four-wheel positioning function is qualified.
And when the four-wheel positioning function of the vehicle is determined to be qualified according to the tire maintenance record, after the vehicle runs for a period of time, acquiring the steering wheel angle of the vehicle and determining the running state of the vehicle according to the steering wheel angle, so that whether the wheels need to be positioned and corrected in the running process of the vehicle is further determined.
Optionally, when it is determined that the four-wheel positioning function of the vehicle is not qualified according to the maintenance record of the tire, the four-wheel positioning correction information is sent to a user terminal to remind a user of performing positioning correction on the tire of the vehicle.
In the technical scheme of the embodiment, when the vehicle is started, the maintenance record of the tire of the current vehicle is obtained, whether the four-wheel positioning function of the vehicle is qualified or not is determined according to the maintenance record, and corresponding operation is executed when the four-wheel positioning function of the vehicle is qualified or not, so that the user is informed of replacing the tire through the user terminal, and the management and monitoring of the tire are realized.
Referring to fig. 5, fig. 5 is a flowchart illustrating a fifth embodiment of the method for predicting tire maintenance according to the present invention. The present embodiment describes a method for predicting tire maintenance during driving of a vehicle from start-up. Specifically, the method comprises the following steps:
first, step S410 is performed. In step S410, when a vehicle start command is detected, a maintenance record of the current tire of the vehicle is acquired.
Then, step S420 is executed; if yes, go to step S310-step S330, otherwise go to step S430. Step S420, determining whether the four-wheel positioning function of the vehicle is qualified according to the maintenance record of the tire. Step S310, acquiring a steering wheel angle of a vehicle, and determining a running state of the vehicle according to the steering wheel angle of the vehicle; step S320, when the driving state of the vehicle is a straight line driving state, acquiring the position information of the vehicle; and step S330, determining the offset value of the vehicle according to the position information. And judging whether the offset value of the vehicle is in a first offset interval. And step S430, sending the four-wheel positioning correction information to a user terminal to remind a user of positioning correction on the tire of the vehicle.
Next, after the step S330, it is determined whether the offset value of the vehicle is within the first offset section, if so, step S220 is executed, and if not, step S350 is executed. In step S220, whether the tire pressure monitoring system is installed in the vehicle is detected. And step S350, generating four-wheel positioning correction information and sending the four-wheel positioning correction information to a user terminal so as to remind a user of positioning correction on the tire of the vehicle.
Finally, after the step S220, if yes, step S111, step S121 and step S130 are executed; if not, step S112, step S122 and step S130 are executed. Step S111, acquiring the temperature and the tire pressure of the tire detected by the tire pressure monitoring system of the vehicle under the current working condition; step S121, when the obtained tire pressure parameters are tire temperature and tire pressure, inputting the tire temperature and the tire pressure into a first prediction model; wherein the first predictive model includes a mapping relationship between tire temperature, tire pressure, and tire life; step S112, acquiring the vehicle load, the vehicle speed, the Z-direction acceleration and the yaw moment of the vehicle under the current working condition; step S122, when the obtained tire pressure parameters are vehicle load, vehicle speed, Z-direction acceleration and yaw moment, inputting the tire pressure parameters into a second prediction model, wherein the vehicle load, the vehicle speed, the Z-direction acceleration and the yaw moment are vehicle load; the second prediction model comprises a mapping relation among load samples, vehicle speed samples, Z-direction acceleration samples, yaw moment samples and tire service life. And S130, when the service life of the tire reaches a preset threshold value, generating tire replacement reminding information corresponding to the vehicle, and sending the tire replacement reminding information to a user terminal to remind a user of replacing the tire.
While a logical order is illustrated in the flow chart, in some instances, steps shown or described may be performed in a different order than presented herein.
Based on the same inventive concept, the embodiment of the invention also provides a tire maintenance prediction device. As shown in fig. 6, fig. 6 is a schematic structural diagram of a hardware operating environment according to an embodiment of the present invention.
Fig. 6 is a schematic diagram of a hardware operating environment of the tire maintenance prediction apparatus.
As shown in fig. 6, the tire maintenance prediction apparatus may include: a processor 1001, such as a CPU, a memory 1005, a user interface 1003, a network interface 1004, a communication bus 1002. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may include a Display screen (Display), an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface). The memory 1005 may be a high-speed RAM memory or a non-volatile memory (e.g., a magnetic disk memory). The memory 1005 may alternatively be a storage device separate from the processor 1001.
As shown in fig. 6, a memory 1005, which is a storage medium, may include an operating system, a network communication module, a user interface module, and a tire maintenance prediction program. Among these, the operating system is a program that manages and controls the hardware and software resources of the tire maintenance prediction device, the operation of the tire maintenance prediction program, and other software or programs.
In the tire maintenance prediction apparatus shown in fig. 6, the user interface 1003 is mainly used for connecting a terminal and performing data communication with the terminal; the network interface 1004 is mainly used for the background server and performs data communication with the background server; processor 1001 may be configured to invoke a tire care prediction program stored in memory 1005.
In this embodiment, the tire maintenance prediction apparatus includes: a memory 1005, a processor 1001, and a tire service prediction program stored on said memory and executable on said processor, wherein:
when processor 1001 calls the tire maintenance prediction program stored in memory 1005, the following operations are performed:
obtaining tire parameters of a vehicle under the current working condition; the tire parameters comprise at least one of vehicle load, vehicle speed, Z-direction acceleration, yaw moment, tire temperature and tire pressure;
inputting the tire parameters into a service life prediction model trained in advance, so that the service life prediction model predicts the tire life of the vehicle according to the tire parameters;
and when the service life of the tire reaches a preset threshold value, generating tire replacement reminding information corresponding to the vehicle, and sending the tire replacement reminding information to a user terminal so as to remind a user of replacing the tire.
When processor 1001 calls the tire maintenance prediction program stored in memory 1005, the following operations are performed:
detecting whether a tire pressure monitoring system is installed on a vehicle or not;
the step of obtaining the tire parameters of the vehicle under the current working condition comprises the following steps:
when the tire pressure monitoring system is installed on the vehicle, the temperature and the tire pressure of the tire detected by the tire pressure monitoring system under the current working condition of the vehicle are acquired;
when the tire pressure monitoring system is not installed on the vehicle, acquiring the vehicle load, the vehicle speed, the Z-direction acceleration and the yaw moment of the vehicle under the current working condition;
the step of inputting the tire parameters into a service life prediction model trained in advance so that the service life prediction model predicts the tire life of the vehicle according to the tire parameters comprises the following steps:
when the obtained tire pressure parameters are tire temperature and tire pressure, inputting the tire temperature and the tire pressure into a first prediction model; wherein the first predictive model includes a mapping relationship between tire temperature, tire pressure, and tire life;
inputting the tire pressure parameters of vehicle load, vehicle speed, Z-direction acceleration and yaw moment into a second prediction model when the acquired tire pressure parameters are the vehicle load, the vehicle speed, the Z-direction acceleration and the yaw moment; the second prediction model comprises a mapping relation among load samples, vehicle speed samples, Z-direction acceleration samples, yaw moment samples and tire service life.
When processor 1001 calls the tire maintenance prediction program stored in memory 1005, the following operations are performed:
acquiring a steering wheel angle of a vehicle, and determining a running state of the vehicle according to the steering wheel angle of the vehicle;
when the driving state of the vehicle is a straight line driving state, acquiring position information of the vehicle;
determining an offset value of the vehicle according to the position information;
and when the offset value of the vehicle is in a first offset interval, executing the step of detecting whether the vehicle is provided with the tire pressure monitoring system.
When processor 1001 calls the tire maintenance prediction program stored in memory 1005, the following operations are performed:
and when the deviation value of the vehicle is in a second deviation interval, generating four-wheel positioning correction information and sending the four-wheel positioning correction information to a user terminal so as to remind a user of positioning correction on the tire of the vehicle.
When processor 1001 calls the tire maintenance prediction program stored in memory 1005, the following operations are performed:
when a vehicle starting instruction is detected, obtaining a maintenance record of the tire of the current vehicle;
and when the four-wheel positioning function of the vehicle is determined to be qualified according to the maintenance record of the tire, acquiring the steering wheel angle of the vehicle after the vehicle runs for a period of time, and determining the running state of the vehicle according to the steering wheel angle of the vehicle.
When processor 1001 calls the tire maintenance prediction program stored in memory 1005, the following operations are performed:
and when the four-wheel positioning function of the vehicle is determined to be unqualified according to the maintenance record of the tire, sending the four-wheel positioning correction information to a user terminal so as to remind a user of performing positioning correction on the tire of the vehicle.
When processor 1001 calls the tire maintenance prediction program stored in memory 1005, the following operations are performed:
when the change of the maintenance record of the tire is detected, acquiring the evaluation information of the tire corresponding to the change of the maintenance record;
and updating the service life prediction model by using the evaluation information of the tire.
Those skilled in the art will appreciate that the configuration of the tire service prediction device illustrated in FIG. 6 is not intended to be limiting of the tire service prediction device, and may include more or fewer components than shown, or some components in combination, or a different arrangement of components. And will not be described in detail herein.
Based on the same inventive concept, an embodiment of the present invention further provides a computer-readable storage medium, where a tire maintenance prediction program is stored, and when the tire maintenance prediction program is executed by a processor, the tire maintenance prediction program implements the steps of the tire maintenance prediction described above, and can achieve the same technical effect, and in order to avoid repetition, the description is omitted here.
Since the computer-readable storage medium provided in the embodiment of the present invention is a computer-readable storage medium used for implementing the method in the embodiment of the present invention, based on the method described in the embodiment of the present invention, those skilled in the art can understand the specific structure and modification of the computer-readable storage medium, and thus details are not described herein. Any computer-readable storage medium that can be used with the methods of the embodiments of the invention is intended to be within the scope of the invention.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable computer-readable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It should be noted that in the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The invention may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The usage of the words first, second and third, etcetera do not indicate any ordering. These words may be interpreted as names.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (9)
1. A tire maintenance prediction method, characterized by comprising:
obtaining tire parameters of a vehicle under the current working condition; the tire parameters comprise at least one of vehicle load, vehicle speed, Z-direction acceleration, yaw moment, tire temperature and tire pressure;
inputting the tire parameters into a service life prediction model trained in advance, so that the service life prediction model predicts the tire life of the vehicle according to the tire parameters;
and when the service life of the tire reaches a preset threshold value, generating tire replacement reminding information corresponding to the vehicle, and sending the tire replacement reminding information to a user terminal so as to remind a user of replacing the tire.
2. The tire maintenance prediction method of claim 1, wherein the service life prediction model comprises a first prediction model and a second prediction model; before the step of obtaining tire parameters of the vehicle under the current working condition, the method further comprises the following steps:
detecting whether a tire pressure monitoring system is installed on a vehicle or not;
the step of obtaining the tire parameters of the vehicle under the current working condition comprises the following steps:
when the tire pressure monitoring system is installed on the vehicle, the temperature and the tire pressure of the tire detected by the tire pressure monitoring system under the current working condition of the vehicle are acquired;
when the tire pressure monitoring system is not installed on the vehicle, acquiring the vehicle load, the vehicle speed, the Z-direction acceleration and the yaw moment of the vehicle under the current working condition;
the step of inputting the tire parameters into a service life prediction model trained in advance so that the service life prediction model predicts the tire life of the vehicle according to the tire parameters comprises the following steps:
when the obtained tire pressure parameters are tire temperature and tire pressure, inputting the tire temperature and the tire pressure into a first prediction model; wherein the first predictive model includes a mapping relationship between tire temperature, tire pressure, and tire life;
inputting the tire pressure parameters of vehicle load, vehicle speed, Z-direction acceleration and yaw moment into a second prediction model when the acquired tire pressure parameters are the vehicle load, the vehicle speed, the Z-direction acceleration and the yaw moment; the second prediction model comprises a mapping relation among load samples, vehicle speed samples, Z-direction acceleration samples, yaw moment samples and tire service life.
3. The method of tire maintenance prediction as in claim 2, wherein said step of obtaining tire parameters of the vehicle under current operating conditions is preceded by the step of:
acquiring a steering wheel angle of a vehicle, and determining a running state of the vehicle according to the steering wheel angle of the vehicle;
when the driving state of the vehicle is a straight line driving state, acquiring position information of the vehicle;
determining an offset value of the vehicle according to the position information;
and when the offset value of the vehicle is in a first offset interval, executing the step of detecting whether the vehicle is provided with the tire pressure monitoring system.
4. A tire service prediction method as in claim 3, wherein said step of determining an offset value for said vehicle based on said location information is followed by further comprising:
and when the deviation value of the vehicle is in a second deviation interval, generating four-wheel positioning correction information and sending the four-wheel positioning correction information to a user terminal so as to remind a user of positioning correction on the tire of the vehicle.
5. The method of tire maintenance prediction as in claim 3, wherein said step of obtaining tire parameters of the vehicle under current operating conditions is preceded by the step of:
when a vehicle starting instruction is detected, obtaining a maintenance record of the tire of the current vehicle;
and when the four-wheel positioning function of the vehicle is determined to be qualified according to the maintenance record of the tire, the step of acquiring the steering wheel angle of the vehicle and determining the running state of the vehicle according to the steering wheel angle of the vehicle is executed.
6. The method of predicting tire maintenance as set forth in claim 5, wherein the step of predicting tire maintenance further includes:
and when the four-wheel positioning function of the vehicle is determined to be unqualified according to the maintenance record of the tire, sending the four-wheel positioning correction information to a user terminal so as to remind a user of performing positioning correction on the tire of the vehicle.
7. The method of tire maintenance prediction as in claim 1, wherein said step of inputting said tire parameters into a service life prediction model trained in advance such that said service life prediction model predicts the tire life of said vehicle based on said tire parameters further comprises:
when the change of the maintenance record of the tire is detected, acquiring the evaluation information of the tire corresponding to the change of the maintenance record;
and updating the service life prediction model by using the evaluation information of the tire.
8. A tire maintenance prediction apparatus, characterized by comprising: a memory, a processor, and a tire care prediction program stored on the memory and executable on the processor, the tire care prediction program when executed by the processor implementing the steps of the tire care prediction method of any one of claims 1-7.
9. A computer-readable storage medium storing a tire service prediction program that when executed by a processor implements the steps of the tire service prediction method of any one of claims 1-7.
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| CN202210070562.8A CN114379482B (en) | 2022-01-21 | Tire maintenance prediction method and apparatus, and computer-readable storage medium |
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| CN202210070562.8A CN114379482B (en) | 2022-01-21 | Tire maintenance prediction method and apparatus, and computer-readable storage medium |
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| CN114379482A true CN114379482A (en) | 2022-04-22 |
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114889654A (en) * | 2022-05-27 | 2022-08-12 | 北京起重运输机械设计研究院有限公司 | Cableway control method based on cableway tire state and related equipment thereof |
| CN115009249A (en) * | 2022-06-24 | 2022-09-06 | 重庆长安新能源汽车科技有限公司 | Method and system for reminding maintenance or brake pad replacement and computer readable storage medium |
| CN115266152A (en) * | 2022-06-28 | 2022-11-01 | 合肥工业大学 | Automobile tire lateral force detection method and system based on deep learning |
| TWI819729B (en) * | 2022-08-03 | 2023-10-21 | 緯創資通股份有限公司 | Vehicle positioning abnormality inspection method and car computer |
| CN117073712A (en) * | 2023-10-17 | 2023-11-17 | 广东省嗒上车物联科技有限公司 | Vehicle management method, internet of things server and computer readable storage medium |
| TWI855379B (en) | 2022-09-14 | 2024-09-11 | 橙的電子股份有限公司 | Vehicle tire cloud computing management system and application method thereof |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20050150283A1 (en) * | 2002-04-26 | 2005-07-14 | Bernhard Shick | Method for monitoring a vehicle tire and a vehicle, and method for generating a vehicle tire interaction, model, vehicle diagnostic system |
| CN101710027A (en) * | 2009-11-24 | 2010-05-19 | 江苏大学 | Non-linear dynamic characteristic monitoring system and method of vehicle tyre |
| CN108482365A (en) * | 2018-04-28 | 2018-09-04 | 江苏大学 | A kind of vehicle flat tire transient state vehicle body emergency flight control system and method |
| CN111504662A (en) * | 2020-03-23 | 2020-08-07 | 上海博泰悦臻电子设备制造有限公司 | Method and device for predicting service life of tire and computer storage medium |
| CN112829526A (en) * | 2021-02-09 | 2021-05-25 | 上海交通大学 | Tire wear degree monitoring method and system |
| CN113239599A (en) * | 2021-06-15 | 2021-08-10 | 江苏理工学院 | Intelligent tire wear life estimation method and device based on BP neural network |
| CN113665302A (en) * | 2020-05-15 | 2021-11-19 | 福特全球技术公司 | Method for generating virtual tire model and simulating tire condition and virtual tire model |
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20050150283A1 (en) * | 2002-04-26 | 2005-07-14 | Bernhard Shick | Method for monitoring a vehicle tire and a vehicle, and method for generating a vehicle tire interaction, model, vehicle diagnostic system |
| CN101710027A (en) * | 2009-11-24 | 2010-05-19 | 江苏大学 | Non-linear dynamic characteristic monitoring system and method of vehicle tyre |
| CN108482365A (en) * | 2018-04-28 | 2018-09-04 | 江苏大学 | A kind of vehicle flat tire transient state vehicle body emergency flight control system and method |
| CN111504662A (en) * | 2020-03-23 | 2020-08-07 | 上海博泰悦臻电子设备制造有限公司 | Method and device for predicting service life of tire and computer storage medium |
| CN113665302A (en) * | 2020-05-15 | 2021-11-19 | 福特全球技术公司 | Method for generating virtual tire model and simulating tire condition and virtual tire model |
| CN112829526A (en) * | 2021-02-09 | 2021-05-25 | 上海交通大学 | Tire wear degree monitoring method and system |
| CN113239599A (en) * | 2021-06-15 | 2021-08-10 | 江苏理工学院 | Intelligent tire wear life estimation method and device based on BP neural network |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114889654A (en) * | 2022-05-27 | 2022-08-12 | 北京起重运输机械设计研究院有限公司 | Cableway control method based on cableway tire state and related equipment thereof |
| CN114889654B (en) * | 2022-05-27 | 2024-05-28 | 北京起重运输机械设计研究院有限公司 | Cableway control method based on cableway tire state and related equipment thereof |
| CN115009249A (en) * | 2022-06-24 | 2022-09-06 | 重庆长安新能源汽车科技有限公司 | Method and system for reminding maintenance or brake pad replacement and computer readable storage medium |
| CN115009249B (en) * | 2022-06-24 | 2023-11-03 | 深蓝汽车科技有限公司 | Method, system and computer readable storage medium for reminding maintenance or replacement of brake pads |
| CN115266152A (en) * | 2022-06-28 | 2022-11-01 | 合肥工业大学 | Automobile tire lateral force detection method and system based on deep learning |
| CN115266152B (en) * | 2022-06-28 | 2023-11-24 | 合肥工业大学 | Automobile tire lateral force detection method and system based on deep learning |
| TWI819729B (en) * | 2022-08-03 | 2023-10-21 | 緯創資通股份有限公司 | Vehicle positioning abnormality inspection method and car computer |
| TWI855379B (en) | 2022-09-14 | 2024-09-11 | 橙的電子股份有限公司 | Vehicle tire cloud computing management system and application method thereof |
| CN117073712A (en) * | 2023-10-17 | 2023-11-17 | 广东省嗒上车物联科技有限公司 | Vehicle management method, internet of things server and computer readable storage medium |
| CN117073712B (en) * | 2023-10-17 | 2024-01-30 | 广东省嗒上车物联科技有限公司 | Vehicle management method, internet of things server and computer readable storage medium |
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