阅读说明：本技术 基于胎压监测系统的自学习方法及胎压监测系统 (Self-learning method based on tire pressure monitoring system and tire pressure monitoring system ) 是由 王小平 曹万 熊波 于 2020-12-25 设计创作，主要内容包括：本发明公开了一种基于胎压监测系统的自学习方法及胎压监测系统,涉及车辆检测技术领域。该方法包括：在接收到学习指令时,基于学习指令向胎压传感器发送请求信号；再接收胎压传感器基于请求指令发送的反馈信号,并对反馈信号进行信号分析,获得反馈信息；然后获取预设车辆参数,并根据车辆参数及反馈信息确定胎压传感器的位置信息；最后,基于位置信息执行学习操作。本发明通过对胎压传感器的位置进行识别,直接确定胎压传感器对应的轮胎,自动完成学习过程,减少人工参与,提高学习操作的便利性。(The invention discloses a self-learning method based on a tire pressure monitoring system and the tire pressure monitoring system, and relates to the technical field of vehicle detection. The method comprises the following steps: when receiving a learning instruction, transmitting a request signal to the tire pressure sensor based on the learning instruction; receiving a feedback signal sent by the tire pressure sensor based on the request instruction, and carrying out signal analysis on the feedback signal to obtain feedback information; then acquiring preset vehicle parameters, and determining the position information of the tire pressure sensor according to the vehicle parameters and the feedback information; finally, a learning operation is performed based on the location information. According to the invention, the positions of the tire pressure sensors are identified, the tires corresponding to the tire pressure sensors are directly determined, the learning process is automatically completed, the manual participation is reduced, and the convenience of the learning operation is improved.)

1. A self-learning method based on a tire pressure monitoring system is characterized by comprising the following steps:

when a learning instruction is received, sending a request signal to a tire pressure sensor based on the learning instruction;

receiving a feedback signal sent by the tire pressure sensor based on the request instruction, and performing signal analysis on the feedback signal to obtain feedback information;

acquiring preset vehicle parameters, and determining the position information of the tire pressure sensor according to the vehicle parameters and the feedback information;

a learning operation is performed based on the location information.

2. The tire pressure monitoring system based self-learning method according to claim 1, wherein the receiving the feedback signal sent by the tire pressure sensor based on the request command and performing signal analysis on the feedback signal to obtain the feedback information comprises:

receiving a feedback signal sent by the tire pressure sensor based on the request instruction, and acquiring a signal strength indication of the feedback signal;

determining distance information of the tire pressure sensor according to the signal strength indication;

and taking the distance information as feedback information.

3. The tire pressure monitoring system based self-learning method according to claim 2, wherein the using the distance information as feedback information comprises:

acquiring a sensor number carried in the feedback signal;

verifying the sensor number according to a preset coding table;

and when the verification is passed, using the sensor number and the distance information as feedback information.

4. The tire pressure monitoring system based self-learning method according to any one of claims 1 to 3, wherein the acquiring preset vehicle parameters and determining the location information of the tire pressure sensor according to the vehicle parameters and the feedback information comprises:

acquiring preset vehicle parameters, and creating a vehicle plane model according to the vehicle parameters;

marking a preset position in the vehicle plane model according to the feedback information to obtain marking information;

and determining the position information of the tire pressure sensor according to the marking information.

5. The tire pressure monitoring system-based self-learning method according to claim 4, wherein the marking a preset position in the vehicle plane model according to the feedback information to obtain marking information comprises:

determining distance information of the tire pressure sensor according to the feedback information;

determining distance sequencing information of the tire pressure sensors according to the distance information;

acquiring a preset tire position in the vehicle plane model;

and marking the preset tire position according to the distance sorting information to obtain marking information.

6. The self-learning method for tire pressure monitoring system according to claim 5, wherein the step of marking the preset tire position according to the distance sequence information further comprises, before obtaining the marking information:

judging whether the distance sequencing information of each tire pressure sensor has the same sequencing information;

when the same sorting information exists in the distance sorting information of each tire pressure sensor, determining the quantity of the same sorting information;

judging whether the number is equal to a preset value or not;

and if the number is not equal to the preset number, stopping executing the step of marking the preset tire positions according to the distance sequence information to obtain marking information, and displaying the re-learning prompt information based on a preset restart control.

7. The tire pressure monitoring system based self-learning method according to claim 6, wherein after determining whether the number is equal to a preset number, further comprising:

if the number is equal to a preset value, displaying an auxiliary prompt based on a preset auxiliary designated control;

receiving specified information input by a user based on the auxiliary prompt of the preset auxiliary specified control;

the marking the preset tire position according to the distance sorting information to obtain marking information comprises the following steps:

and marking the preset tire position according to the designated information and the distance sorting information to obtain marking information.

8. A tire pressure monitoring system, comprising a plurality of tire pressure sensors and a central monitor;

the central monitor is used for sending a request signal to the tire pressure sensor based on a learning instruction when the learning instruction is received;

the central monitor is used for receiving a feedback signal sent by the tire pressure sensor based on the request instruction, and performing signal analysis on the feedback signal to obtain feedback information;

the central monitor is used for acquiring preset vehicle parameters and determining the position information of the tire pressure sensor according to the vehicle parameters and the feedback information;

the central monitor is used for executing learning operation based on the position information.

9. A self-learning device based on a tire pressure monitoring system, the self-learning device based on a tire pressure monitoring system comprising: a memory, a processor and a self-learning program based on a tire pressure monitoring system stored on the memory and executable on the processor, the self-learning program based on a tire pressure monitoring system implementing the steps of the self-learning method based on a tire pressure monitoring system according to any one of claims 1 to 7 when executed by the processor.

10. A storage medium, characterized in that the storage medium has stored thereon a self-learning program based on a tire pressure monitoring system, which when executed by a processor implements the steps of the self-learning method based on a tire pressure monitoring system according to any one of claims 1 to 7.

Technical Field

The invention relates to the technical field of vehicle detection, in particular to a self-learning method based on a tire pressure monitoring system and the tire pressure monitoring system.

Background

At present, all automobiles are provided with a tire pressure monitoring system to monitor the pressure of the automobile tires in real time. When the tire pressure monitoring system is installed, the central monitoring device needs to be subjected to learning operation. The learning operation is: and matching the central monitoring system with the tire pressure sensors of the tires. For example, the tire pressure sensor on the front left tire is matched with the central monitoring system, so that the central monitoring system identifies the tire pressure sensor as the tire pressure sensor of the front left tire, and the data confusion of each tire is avoided when data display is carried out. However, existing learning processes require manual intervention. For example, when the tire pressure sensors of the left front tires are matched, the tire pressure sensors of the left front tires need to be activated manually. Generally, the operation needs other devices, and is tedious, inconvenient for users and not beneficial to subsequent maintenance. Therefore, how to improve the learning convenience of the tire pressure monitoring system is an urgent technical problem to be solved.

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 self-learning method based on a tire pressure monitoring system and the tire pressure monitoring system, and aims to solve the technical problem that the learning process of the tire pressure monitoring system in the prior art is complicated to operate.

In order to achieve the purpose, the invention provides a self-learning method based on a tire pressure monitoring system, which comprises the following steps:

when receiving a learning instruction, transmitting a request signal to the tire pressure sensor based on the learning instruction;

receiving a feedback signal sent by the tire pressure sensor based on the request instruction, and carrying out signal analysis on the feedback signal to obtain feedback information;

acquiring preset vehicle parameters, and determining the position information of the tire pressure sensor according to the vehicle parameters and the feedback information;

a learning operation is performed based on the location information.

Optionally, receiving a feedback signal sent by the tire pressure sensor based on the request instruction, and performing signal analysis on the feedback signal to obtain feedback information, including:

receiving a feedback signal sent by the tire pressure sensor based on the request instruction, and acquiring a signal strength indication of the feedback signal;

determining distance information of the tire pressure sensor according to the signal strength indication;

the distance information is used as feedback information.

Optionally, the distance information is used as feedback information, including:

acquiring a sensor number carried in a feedback signal;

verifying the serial number of the sensor according to a preset coding table;

and when the verification is passed, the sensor number and the distance information are used as feedback information.

Optionally, obtaining preset vehicle parameters, and determining the position information of the tire pressure sensor according to the vehicle parameters and the feedback information includes:

acquiring preset vehicle parameters, and creating a vehicle plane model according to the vehicle parameters;

marking a preset position in the vehicle plane model according to the feedback information to obtain marking information;

and determining the position information of the tire pressure sensor according to the mark information.

Optionally, marking a preset position in the vehicle plane model according to the feedback information to obtain marking information, including:

determining distance information of the tire pressure sensor according to the feedback information;

determining distance sequencing information of the tire pressure sensors according to the distance information;

acquiring a preset tire position in a vehicle plane model;

and marking the preset tire position according to the distance sorting information to obtain marking information.

Optionally, the method of marking the preset tire position according to the distance sequence information further includes, before obtaining the marking information:

judging whether the distance sequencing information of each tire pressure sensor has the same sequencing information;

determining the quantity of the same sequencing information when the same sequencing information exists in the distance sequencing information of each tire pressure sensor;

judging whether the quantity is equal to a preset value or not;

and if the number is not equal to the preset number, stopping executing the step of marking the preset tire position according to the distance sequence information to obtain marking information, and displaying the re-learning prompt information based on the preset restart control.

Optionally, after determining whether the number is equal to the preset number, the method further includes:

if the number is equal to the preset value, displaying an auxiliary prompt based on a preset auxiliary designated control;

receiving specified information input by a user based on an auxiliary prompt of a preset auxiliary specified control;

marking the preset tire position according to the distance sorting information to obtain marking information, comprising:

and marking the preset tire position according to the specified information and the distance sorting information to obtain marking information.

In addition, in order to achieve the above object, the present invention also provides a tire pressure monitoring system, which includes a plurality of tire pressure sensors and a central monitor;

the central monitor is used for sending a request signal to the tire pressure sensor based on the learning instruction when the learning instruction is received;

the central monitor is used for receiving a feedback signal sent by the tire pressure sensor based on the request instruction, and performing signal analysis on the feedback signal to obtain feedback information;

the central monitor is used for acquiring preset vehicle parameters and determining the position information of the tire pressure sensor according to the vehicle parameters and the feedback information;

and a central monitor for performing a learning operation based on the location information.

In addition, in order to achieve the above object, the present invention further provides a tire pressure monitoring system-based self-learning device, which includes: the memory, the processor and the self-learning program based on the tire pressure monitoring system stored on the memory and operable on the processor, when executed by the processor, implement the steps of the self-learning method based on the tire pressure monitoring system as described above.

In addition, to achieve the above object, the present invention further provides a storage medium, in which a self-learning program based on a tire pressure monitoring system is stored, and the steps of the self-learning method based on a tire pressure monitoring system as described above are implemented when the self-learning program based on a tire pressure monitoring system is executed by a processor.

In the invention, when receiving a learning instruction, the tire pressure monitoring system sends a request signal to a tire pressure sensor based on the learning instruction; receiving a feedback signal sent by the tire pressure sensor based on the request instruction, and carrying out signal analysis on the feedback signal to obtain feedback information; then acquiring preset vehicle parameters, and determining the position information of the tire pressure sensor according to the vehicle parameters and the feedback information; finally, a learning operation is performed based on the location information. According to the invention, the positions of the tire pressure sensors are identified, the tires corresponding to the tire pressure sensors are directly determined, the learning process is automatically completed, the manual participation is reduced, and the convenience of the learning operation is improved.

Drawings

Fig. 1 is a schematic structural diagram of a self-learning device based on a tire pressure monitoring system in a hardware operating environment according to an embodiment of the invention;

FIG. 2 is a schematic flow chart of a first embodiment of a self-learning method based on a tire pressure monitoring system according to the present invention;

FIG. 3 is a schematic flow chart of a second embodiment of the self-learning method based on the tire pressure monitoring system according to the present invention;

FIG. 4 is a schematic flow chart of a third embodiment of the self-learning method based on the tire pressure monitoring system according to the present invention;

fig. 5 is a schematic structural diagram of an embodiment of the tire pressure monitoring system of the present invention.

The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.

Detailed Description

It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

Referring to fig. 1, fig. 1 is a schematic structural diagram of a self-learning device based on a tire pressure monitoring system in a hardware operating environment according to an embodiment of the present invention.

As shown in fig. 1, the self-learning apparatus based on the tire pressure monitoring system may include: a processor 1001, such as a Central Processing Unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may include a Display screen (Display), and the optional user interface 1003 may further include a standard wired interface and a wireless interface, and the wired interface for the user interface 1003 may be a USB interface in the present invention. The network interface 1004 may optionally include a standard wired interface, a WIreless interface (e.g., a WIreless-FIdelity (WI-FI) interface). The Memory 1005 may be a Random Access Memory (RAM) Memory or a Non-volatile Memory (NVM), such as a disk Memory. The memory 1005 may alternatively be a storage device separate from the processor 1001.

It will be appreciated by those skilled in the art that the configuration shown in fig. 1 does not constitute a limitation of self-learning devices based on tire pressure monitoring systems and may include more or fewer components than shown, or some components in combination, or a different arrangement of components.

As shown in fig. 1, a memory 1005, identified as a computer storage medium, may include an operating system, a network communication module, a user interface module, and a self-learning program based tire pressure monitoring system therein.

In the self-learning device based on the tire pressure monitoring system shown in fig. 1, the network interface 1004 is mainly used for connecting a background server and performing data communication with the background server; the user interface 1003 is mainly used for connecting user equipment; the self-learning device based on the tire pressure monitoring system calls the self-learning program based on the tire pressure monitoring system stored in the memory 1005 through the processor 1001 and executes the self-learning method based on the tire pressure monitoring system provided by the embodiment of the invention.

Based on the hardware structure, the embodiment of the self-learning method based on the tire pressure monitoring system is provided.

Referring to fig. 2, fig. 2 is a schematic flow chart of a first embodiment of the self-learning method based on the tire pressure monitoring system, and provides the first embodiment of the self-learning method based on the tire pressure monitoring system.

In a first embodiment, the self-learning method based on the tire pressure monitoring system comprises the following steps:

step S10: upon receiving the learning instruction, a request signal is transmitted to the tire pressure sensor based on the learning instruction.

It should be understood that the executing subject of the present embodiment is the self-learning device based on the tire pressure monitoring system, which has the functions of image processing, data communication, program operation, etc., and the self-learning device based on the tire pressure monitoring system may be a central monitor of the tire pressure monitoring system or a central control device of an automobile in which the tire pressure monitoring system is installed. Of course, other devices with similar functions may be used, and the present embodiment is not limited thereto. The present embodiment is described by taking a self-learning device based on a tire pressure monitoring system as an example of a central monitor of the tire pressure monitoring system.

Generally, a tire pressure sensor is mounted on a vehicle tire, and specifically, a tire pressure sensor may be mounted on each tire of a vehicle, respectively; or a tyre pressure sensor is arranged on a part of tyres of the automobile, such as symmetrical arrangement. The tire pressure sensor is communicated with the central monitor in a wireless mode, and the tire pressure sensor transmits detected tire pressure data to the central monitor and then the detected tire pressure data is displayed by the central monitor.

A pressure sensor, a temperature sensor or an acceleration sensor is integrated in the tire pressure sensor. The tire pressure sensor executes a pressure, temperature or acceleration detection function through the built-in sensor, and forms the detected pressure value, temperature value or acceleration value into tire pressure data, and then sends the tire pressure data to the central monitor through the internal transmitting circuit.

It should be noted that the learning instruction refers to an instruction for triggering a tire pressure monitoring system learning process. The learning instruction may be an electrical signal that may be triggered by a user via a predetermined hardware button. Or the learning instruction can also be a data signal, and the data signal can be triggered by a virtual control based on a preset display interface; or the central monitor receives the data signal directly from the upper computer. Of course, the specific form of the learning instruction may be other forms, and this embodiment does not limit this.

The request signal may be a wireless electromagnetic wave signal, such as a low frequency radio frequency signal or a high frequency radio frequency signal. The parameters such as the frequency of the electromagnetic wave signal are preset, and this embodiment is not limited thereto. The process of transmitting the request signal to the tire pressure sensor based on the learning instruction upon receiving the learning instruction may be: the central monitor generates a trigger signal when receiving a learning instruction; and enabling a preset signal transmitting circuit to radiate a request signal to the outside so as to enable a tire pressure sensor on the vehicle to receive the request signal. The signal transmitting circuit has a mature circuit structure, and the detailed description of the embodiment is omitted here.

Step S20: and receiving a feedback signal sent by the tire pressure sensor based on the request instruction, and carrying out signal analysis on the feedback signal to obtain feedback information.

It should be noted that the feedback signal may also be a wireless electromagnetic wave signal, such as a low frequency radio frequency signal or a high frequency radio frequency signal. The tire pressure sensor can generate a trigger signal after receiving the request instruction; and enabling a preset signal generating circuit to transmit the feedback signal. In generating the feedback signal, the tire pressure sensor may also encode an analog signal based on preset data (such as the serial number of the tire pressure sensor, etc.), and then obtain the feedback signal through signal modulation.

The receiving of the feedback signal sent by the tire pressure sensor based on the request instruction and the signal analysis of the feedback signal may be performed in the following process: the central monitor receives a feedback signal sent by the tire pressure sensor after receiving the request instruction through a preset receiving circuit; demodulating the feedback signal according to a preset coding and decoding protocol, or demodulating the signal; and then the demodulated signal is analyzed to obtain feedback information. The receiving circuit has a mature circuit structure, and this embodiment is not described herein. The encoding and decoding protocol may adopt an existing protocol, such as ISO/IEC14443, and this embodiment is not limited thereto.

It should be noted that the feedback information may include data added to the feedback signal by the tire pressure sensor, such as the number of the tire pressure sensor mentioned above. The feedback information may also include analysis data of the demodulated Signal, such as frequency, pulse width, or RSSI (Received Signal Strength Indication).

Step S30: and acquiring preset vehicle parameters, and determining the position information of the tire pressure sensor according to the vehicle parameters and the feedback information.

It should be noted that the preset vehicle parameters may include information of the number of vehicle tires, the length and the width of the vehicle. The preset vehicle parameters may be pre-stored in a memory from which the central monitor may directly retrieve the preset vehicle parameters when needed.

In a specific implementation, the process of determining the location information of the tire pressure sensor according to the vehicle parameters and the feedback information may be: determining the optional position where the tire pressure sensor can be arranged on the vehicle according to the vehicle parameters; determining the distribution condition of each tire pressure sensor according to the feedback information of all tire pressure sensors; and then matching the distribution situation with the optional positions of the tire pressure sensors, thereby determining the position information of each tire pressure sensor.

For example, if the number of tires of the vehicle defined in the vehicle parameters is 4, the selectable positions of the tire pressure sensor include left front, right front, left rear and right rear. According to the feedback information (such as the number) of each tire pressure sensor, the corresponding distribution condition of each tire pressure sensor is determined according to the corresponding relation between the preset number and the position, and generally, the installation position is marked on each tire pressure sensor. And if the distribution condition of each tire pressure sensor is matched with the optional position of the actual tire pressure sensor, determining the position information of each tire pressure sensor according to the distribution condition of each tire pressure sensor. At this time, it is described that the tire pressure sensor is installed according to the identifier installation position, and if the tire pressure sensor is not installed according to the identifier installation position, a plurality of identical positions may occur in the distribution situation corresponding to the tire pressure sensor.

Step S40: a learning operation is performed based on the location information.

It is understood that the learning operation refers to binding the tire pressure sensor with the location information. For example, if the position information of the tire pressure sensor a is left front, the tire pressure sensor a is bound to the left front position, and specifically, the serial number of the tire pressure sensor a and the left front position may be extracted to establish a corresponding relationship table. And when the central monitor receives the detection data of the tire pressure sensor A subsequently, the central monitor determines that the detection data is the detection data of the left front tire according to the corresponding relation table, and then displays the detection data at a preset display position.

In the first embodiment, the tire pressure monitoring system, upon receiving the learning instruction, transmits a request signal to the tire pressure sensor based on the learning instruction; receiving a feedback signal sent by the tire pressure sensor based on the request instruction, and carrying out signal analysis on the feedback signal to obtain feedback information; then acquiring preset vehicle parameters, and determining the position information of the tire pressure sensor according to the vehicle parameters and the feedback information; finally, a learning operation is performed based on the location information. This embodiment is through discerning tire pressure sensor's position, and the tire that tire pressure sensor corresponds is directly confirmed, accomplishes the learning process voluntarily, reduces artifical the participation, improves the convenience of learning operation.

Referring to fig. 3, fig. 3 is a schematic flow chart of a second embodiment of the self-learning method based on the tire pressure monitoring system according to the present invention. Based on the first embodiment, the second embodiment of the self-learning method based on the tire pressure monitoring system is provided.

In the second embodiment, step S20 includes:

step S201: and receiving a feedback signal sent by the tire pressure sensor based on the request instruction, and acquiring a signal strength indication of the feedback signal.

It is understood that a Signal Strength indicator (RSSI) is an average Signal Strength indicator of receiver input obtained by a receiver measurement circuit in a radio frequency communication system. The signal strength indication of the received signal is an optional part of the radio transmission layer and is used to determine the link quality of the transceiver system. The signal strength indication can be calculated from the frequency of the feedback signal in dbs, and the calculation formula is R ═ 10lg (power value/1 mw). And when receiving the feedback signal, the central monitor detects the frequency of the feedback signal and then acquires the signal strength indication of the feedback signal. The signal frequency detection has a mature technical scheme, and the embodiment is not described herein.

It should be noted that, in order to ensure that the acquired signal strength indication of the feedback signal transmitted by each tire pressure sensor is obtained, the signal strength indication of the feedback signal specifically refers to an average signal strength indication of each feedback signal transmitted by the tire pressure sensor. In specific implementation, the tire pressure sensor sends a feedback signal at regular intervals, and the central monitor detects the feedback signal received each time to obtain a single signal strength indication of a single feedback signal; finally, the central monitor calculates the average signal strength indication by each single signal strength indication. The time interval and the total number of times of sending the feedback signal by the tire pressure sensor may be set as needed, which is not limited in this embodiment.

Step S202: and determining distance information of the tire pressure sensor according to the signal strength indication.

It is understood that the relationship between the transmit power and the receive power of a wireless signal can be expressed as: r (dbm) ═ a-10nlgr, R is the received signal strength indicator value, a is the received signal power at 1m distance of signal transmission, R is the distance between the transceiver units, and n is the propagation factor. Therefore, the distance between the tire pressure sensor and the central monitor can be estimated after the signal strength indicating value of the feedback signal is obtained.

Step S203: the distance information is used as feedback information.

It should be noted that, in order to accurately locate the position information of the tire pressure sensor in the following, the embodiment further provides a distance between the tire pressure sensor and the central monitor as a reference, so as to more accurately determine the position information of the tire pressure sensor. The step of determining the position of the tire pressure sensor based on the distance between the tire pressure sensor and the central monitor may be referred to other embodiments, which are not limited by the present embodiment.

In general, a plurality of tire pressure sensors are installed in a vehicle, and in order to obtain the source of each feedback signal, in this embodiment, step S203 further includes: acquiring a sensor number carried in a feedback signal; verifying the serial number of the sensor according to a preset coding table; and when the verification is passed, the sensor number and the distance information are used as feedback information.

It should be noted that the sensor numbers may be a character string including numbers and/or letters, and the sensor numbers are respectively stored in the internal memories of the tire pressure sensor and the central controller. The tire pressure sensor codes the serial number of the sensor into an electric signal, and the electric signal is adjusted to generate a feedback signal. Meanwhile, in order to prevent the central monitor from detecting an external wireless signal and influencing a detection result, the central monitor can also verify the received feedback signal according to a pre-stored sensor number. If the verification is passed, the feedback signal is sent by the tire pressure sensor installed on the vehicle; if the verification is not passed, the feedback signal is sent by the tire pressure sensor which is not installed on the vehicle.

In the second embodiment, the signal strength indication is obtained by detecting the strength of the feedback signal sent by the tire pressure sensor; and determining the distance between each tire pressure sensor and the central monitor based on the signal strength indication. By providing distance information for subsequently determining the position information of the tire pressure sensor, the accuracy of positioning can be improved. In addition, in order to ensure that the distance between the tire pressure sensor and the central monitor is more accurate, the embodiment adopts multiple times of collection and an averaging mode to calculate the signal strength indication when detecting the signal strength indication of the feedback signal; meanwhile, the feedback signals are verified, so that the interference of external signals is prevented, the accuracy of distance parameters is improved, and the accuracy of positioning of the tire pressure sensor is improved.

Referring to fig. 4, fig. 4 is a schematic flow chart of a third embodiment of the self-learning method based on the tire pressure monitoring system according to the present invention, and the third embodiment of the self-learning method based on the tire pressure monitoring system according to the present invention is proposed based on the first embodiment and the second embodiment. The present embodiment is explained based on the first embodiment.

In the third embodiment, the step S30 includes:

step S301: and acquiring preset vehicle parameters, and creating a vehicle plane model according to the vehicle parameters.

It should be noted that the preset vehicle parameters may include information of the number of vehicle tires, the length and the width of the vehicle. The preset vehicle parameters may be pre-stored in a memory from which the central monitor may directly retrieve the preset vehicle parameters when needed.

The vehicle plane model mainly refers to a distribution model of vehicle tires, and a simple model of the vehicle is constructed according to the number of the tires and the distance between the tires. Typically, the central monitor is located within the cab at a position above the plane of the tire. In this embodiment, the position of the central monitor can be mapped to the tire plane and then added to the vehicle plane model.

Step S302: and marking a preset position in the vehicle plane model according to the feedback information to obtain marking information.

It should be noted that the preset position in the vehicle plane model mainly refers to a tire position in the vehicle plane model. And after receiving the feedback information of each tire pressure sensor, the central monitor selects a position corresponding to the tire pressure sensor from each tire position in the vehicle plane model as marking information.

In a specific implementation, step S302 may be: determining distance information of the tire pressure sensor according to the feedback information; determining distance sequencing information of the tire pressure sensors according to the distance information; acquiring a preset tire position in a vehicle plane model; and marking the preset tire position according to the distance sorting information to obtain marking information.

In this embodiment, the feedback information already carries the distance information of the tire pressure sensor, and the central monitor can directly extract the distance information from the feedback information. The second embodiment can be referred to for determining the distance information, and the details of this embodiment are not repeated herein.

It should be noted that the distance ranking information may be the result of ranking the tire pressure sensors from small to large. For example, the distance of the tire pressure sensor a is 70cm, the distance of the tire pressure sensor B is 100cm, the distance of the tire pressure sensor C is 170cm, and the distance of the tire pressure sensor D is 2000 cm.

It is understood that, where the distance information is the distance between the tire pressure sensors and the central controller, since the location of the central monitor is known in the vehicle planar model, the location of each tire pressure sensor in the vehicle planar model can be determined from the distance information. Typically, the center monitor is located off-driver side, with the driver being located on the left side of the vehicle. Therefore, according to the distance sorting information of the tire pressure sensors, the left front tire, the right front tire, the left rear tire and the right rear tire of the vehicle are sequentially arranged from small to large. Namely, the tire pressure sensor A is positioned in the left front tire, the tire pressure sensor B is positioned in the right front tire, the tire pressure sensor C is positioned in the left rear tire, and the tire pressure sensor D is positioned in the right rear tire.

It should be noted that the location of the central monitor is important for determining the location of the tire pressure sensor. In practical application, if the central monitor is located at the centerline of the vehicle, the distances between the tire pressure sensors on the left and right sides of the vehicle are the same, and the positions of the tire pressure sensors cannot be directly determined.

In the present embodiment, the method for marking a preset tire position based on distance sequence information further includes, before obtaining the marking information: judging whether the distance sequencing information of each tire pressure sensor has the same sequencing information; determining the quantity of the same sequencing information when the same sequencing information exists in the distance sequencing information of each tire pressure sensor; judging whether the quantity is equal to a preset value or not; if the number is not equal to the preset number, stopping executing the step of marking the preset tire position according to the distance sequence information to obtain marking information, and displaying the relearning prompt information based on a preset restarting control; if the number is equal to the preset value, displaying an auxiliary prompt based on a preset auxiliary designated control; receiving specified information input by a user based on an auxiliary prompt of a preset auxiliary specified control; marking the preset tire position according to the distance sorting information to obtain marking information, comprising: and marking the preset tire position according to the specified information and the distance sorting information to obtain marking information.

It should be noted that the preset value may be half of the number of tires of the vehicle. For example, if the total number of tires of the vehicle is 6, since the central monitor is located at the center line position, in actual detection, the distances between the tire pressure sensors at the tire positions that are symmetric to each other are the same as the distance between the central monitor, and there are 3 sets of the same distance information in the distance ranking information, where the number of the same ranking information is 3.

It can be understood that, if the number of the same pieces of sequencing information is equal to the preset value, it indicates that the central monitor is at the centerline position at this time, and the position of each tire pressure sensor can be determined in a manner specified by the user at this time. The specific information may be location information of a part of the tire pressure sensors, for example, a user may directly input the number and location of the tire pressure sensor a, and at this time, the central control monitor may automatically determine the location of the tire pressure sensor symmetrical to the tire pressure sensor a.

It can be understood that if the number of the same sequence information is not equal to the predetermined value, it indicates that the central monitor is not in the middle line position, but the same sequence information appears at this time, which may be due to signal interference. At this time, the user may be prompted to relearn, and after the user checks the cause, the self-learning process is restarted.

Step S303: and determining the position information of the tire pressure sensor according to the mark information.

It is understood that the positions of the respective tire pressure sensors in the vehicle plane model are determined in the flag information, and thus the positions in the flag information may be directly determined as the actual position information of the tire pressure sensors. For example, if the tire pressure sensor a is located in the left front tire in the vehicle plane model in the flag information, it is directly determined that the tire pressure sensor a is located in the left front tire of the real vehicle.

In a third embodiment, a central monitor acquires preset vehicle parameters and creates a vehicle plane model according to the vehicle parameters; and marking a preset position in the vehicle plane model according to the feedback information to obtain marking information, and finally determining the position information of the tire pressure sensor according to the marking information. According to the embodiment, the position in the vehicle plane model is marked by establishing the vehicle plane model and combining the feedback information of the tire pressure sensor, so that the actual position information of the tire pressure sensor is determined, and the accuracy is high.

In addition, an embodiment of the present invention further provides a storage medium, where a self-learning program based on a tire pressure monitoring system is stored, and when being executed by a processor, the self-learning program based on a tire pressure monitoring system implements the steps of the self-learning method based on a tire pressure monitoring system as described above.

Since the storage medium adopts all technical solutions of all the embodiments, at least all the beneficial effects brought by the technical solutions of the embodiments are achieved, and no further description is given here.

In addition, referring to fig. 5, fig. 5 is a schematic structural diagram of an embodiment of the tire pressure monitoring system according to the present invention.

In the present embodiment, the tire air pressure monitoring system includes a plurality of tire air pressure sensors 10 and a central monitor 20.

And a central monitor 20 for transmitting a request signal to the tire pressure sensor based on the learning instruction when receiving the learning instruction.

And the central monitor 20 is configured to receive a feedback signal sent by the tire pressure sensor based on the request instruction, perform signal analysis on the feedback signal, and obtain feedback information.

And the central monitor 20 is used for acquiring preset vehicle parameters and determining the position information of the tire pressure sensor according to the vehicle parameters and the feedback information.

And a central monitor 20 for performing a learning operation based on the location information.

In the present embodiment, the central monitor, upon receiving the learning instruction, transmits a request signal to the tire pressure sensor based on the learning instruction; receiving a feedback signal sent by the tire pressure sensor based on the request instruction, and carrying out signal analysis on the feedback signal to obtain feedback information; then acquiring preset vehicle parameters, and determining the position information of the tire pressure sensor according to the vehicle parameters and the feedback information; finally, a learning operation is performed based on the location information. This embodiment is through discerning tire pressure sensor's position, and the tire that tire pressure sensor corresponds is directly confirmed, accomplishes the learning process voluntarily, reduces artifical the participation, improves the convenience of learning operation.

In an embodiment, the central monitor 20 is further configured to receive a feedback signal sent by the tire pressure sensor based on the request instruction, and obtain a signal strength indication of the feedback signal; determining distance information of the tire pressure sensor according to the signal strength indication; the distance information is used as feedback information.

In an embodiment, the central monitor 20 is further configured to obtain a sensor number carried in the feedback signal; verifying the serial number of the sensor according to a preset coding table; and when the verification is passed, the sensor number and the distance information are used as feedback information.

In an embodiment, the central monitor 20 is further configured to obtain preset vehicle parameters, and create a vehicle plane model according to the vehicle parameters; marking a preset position in the vehicle plane model according to the feedback information to obtain marking information; and determining the position information of the tire pressure sensor according to the mark information.

In an embodiment, the central monitor 20 is further configured to determine distance information of the tire pressure sensor according to the feedback information; determining distance sequencing information of the tire pressure sensors according to the distance information; acquiring a preset tire position in a vehicle plane model; and marking the preset tire position according to the distance sorting information to obtain marking information.

In an embodiment, the central monitor 20 is further configured to determine whether the same sorting information exists in the distance sorting information of each tire pressure sensor; determining the quantity of the same sequencing information when the same sequencing information exists in the distance sequencing information of each tire pressure sensor; judging whether the quantity is equal to a preset value or not; and if the number is not equal to the preset number, stopping executing the step of marking the preset tire position according to the distance sequence information to obtain marking information, and displaying the re-learning prompt information based on the preset restart control.

In an embodiment, the central monitor 20 is further configured to display an auxiliary prompt based on a preset auxiliary designation control if the number is equal to a preset value; receiving specified information input by a user based on an auxiliary prompt of a preset auxiliary specified control; marking the preset tire position according to the distance sorting information to obtain marking information, comprising: and marking the preset tire position according to the specified information and the distance sorting information to obtain marking information.

Other embodiments or specific implementation manners of the self-learning device based on the tire pressure monitoring system may refer to the above method embodiments, and are not described herein again.

It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.

The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The use of the words first, second, third, etc. do not denote any order, but rather the words first, second, third, etc. are to be interpreted as names.

Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present invention or portions thereof that contribute to the prior art may be embodied in the form of a software product, where the computer software product is stored in a storage medium (e.g., a Read Only Memory (ROM)/Random Access Memory (RAM), a magnetic disk, an optical disk), and includes several instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.

The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.