Vehicle-mounted intelligent terminal and calibration method thereof

Abstract

The application provides a vehicle-mounted intelligent terminal and a calibration method thereof, and the calibration method of the vehicle-mounted intelligent terminal comprises the following steps: acquiring vehicle information of the motorcycle, wherein the vehicle information comprises at least one of a vehicle model and a frame model of the motorcycle; acquiring an initial position parameter of a detection module corresponding to the motorcycle according to the vehicle information; acquiring a position detection parameter of the motorcycle in a horizontal static state through the detection module; and adjusting the initial position parameter of the detection module according to the position detection parameter of the motorcycle in the horizontal static state, wherein the adjusted initial position parameter is defined as a corrected initial position parameter of the detection module. The application has the beneficial effect that the calibration method makes the vehicle-mounted intelligent terminal capable of being used for multiple vehicle models, increases the universality of the vehicle-mounted intelligent terminal, reduces the difficulty of part management and after-sales maintenance of automobile manufacturers, and improves the production efficiency.

Description

Technical Field

[0001] This invention relates to the field of vehicle technology, and in particular to an in-vehicle intelligent terminal and its calibration method. Background Technology

[0002] The in-vehicle intelligent terminal, also known as TBOX, is the only network-connected control unit in the vehicle body, tasked with monitoring and controlling the vehicle's status. Its greatest value lies in its network connectivity. The TBOX primarily collects vehicle-related information, including location, attitude, and vehicle status information (via connection to the vehicle's CAN bus), and then transmits this information to the vehicle networking platform via wireless communication. Simultaneously, users can use a mobile app or web client to issue commands to the TBOX terminal through the vehicle networking platform to control the vehicle.

[0003] Currently, most automakers, especially those manufacturing traditional gasoline-powered vehicles, require a dedicated TBOX (Transportation Toy Box) for each vehicle model. This is because the TBOX collects vehicle operating status information based on a six-axis gyroscope installed inside it. The TBOX determines the vehicle's current operating status and attitude based on the gyroscope's detection signals. However, the installation location of the six-axis gyroscope significantly impacts its judgment. Different vehicle models have different TBOX installation locations, and the vehicle operating status represented by the six-axis gyroscope data from different installation locations also differs. Therefore, current technology requires designing a dedicated TBOX for each vehicle model, resulting in low TBOX universality and causing significant inconvenience for parts management and subsequent maintenance and replacement. Summary of the Invention

[0004] In order to overcome the above-mentioned defects in the prior art, the purpose of this application is to provide an in-vehicle intelligent terminal applicable to various motorcycle models and its calibration method.

[0005] Based on the above-mentioned objectives, this application provides a calibration method for an in-vehicle intelligent terminal. The in-vehicle intelligent terminal is applied to a motorcycle and includes a detection module. The detection module is capable of determining the current position detection parameters of the motorcycle, including at least a rotation angle parameter. The calibration method is used to calibrate the detection module in the in-vehicle intelligent terminal. The calibration method includes:

[0006] Obtain vehicle information for the motorcycle, including at least one of the motorcycle model and frame model;

[0007] Obtain the initial position parameters of the detection module corresponding to the motorcycle based on the vehicle information;

[0008] The position detection parameters of the motorcycle when it is in a horizontal, stationary state are obtained through the detection module.

[0009] The initial position parameters of the detection module are adjusted based on the position detection parameters when the motorcycle is in a horizontal and stationary state. The adjusted initial position parameters are defined as the calibrated initial position parameters of the detection module.

[0010] Furthermore, the position detection parameters obtained by the detection module when the motorcycle is in a horizontal, stationary state include:

[0011] The detection module acquires several sets of position detection data when the motorcycle is in a horizontal and stationary state.

[0012] The position detection parameters for a motorcycle in a horizontal, stationary state are determined based on several sets of position detection data.

[0013] Furthermore, based on several sets of position detection data, the position detection parameters for when the motorcycle is in a horizontal, stationary state include:

[0014] The filtering algorithm is used to remove erroneous position detection data from several sets of position detection data.

[0015] Determine the average value of each group of position detection data after removing errors;

[0016] The average value is defined as the position detection parameter when the motorcycle is in a horizontal, stationary state.

[0017] Furthermore, adjusting the initial position parameters of the detection module based on the position detection parameters when the motorcycle is in a horizontal, stationary state includes:

[0018] The error correction parameters are determined based on the initial position parameters and the position detection parameters when the motorcycle is in a horizontal stationary state.

[0019] Adjust the initial position parameters of the detection module according to the error correction parameters.

[0020] Furthermore, the error correction parameter is obtained by taking the difference between the initial position parameter and the position detection parameter when the motorcycle is in a horizontal stationary state.

[0021] Furthermore, the initial position parameters of the detection module corresponding to the motorcycle are obtained based on the vehicle information, including:

[0022] Based on the motorcycle's vehicle information, the initial position parameters of the detection module corresponding to the motorcycle are obtained from the vehicle networking platform associated with the motorcycle.

[0023] The vehicle network platform pre-stores vehicle information and corresponding initial location parameters.

[0024] Furthermore, the in-vehicle intelligent terminal communicates with the vehicle networking platform via the MQTT protocol.

[0025] Furthermore, in addition to obtaining the initial position parameters of the detection module corresponding to the motorcycle based on the vehicle information, the vehicle-mounted intelligent terminal can also obtain a computer program package corresponding to the motorcycle that can be run by the vehicle-mounted intelligent terminal based on the vehicle information.

[0026] Based on the purpose of this invention, this application also provides an in-vehicle intelligent terminal, which is applied to a motorcycle. The in-vehicle intelligent terminal includes a control unit and a detection module connected to the control unit.

[0027] The detection module can obtain the current position detection parameters of the motorcycle;

[0028] The control unit is able to acquire vehicle information of the motorcycle, and can acquire the initial position parameters of the detection module corresponding to the motorcycle based on the vehicle information. The vehicle information includes at least one of the motorcycle's vehicle model and frame model.

[0029] The control unit can also acquire the position detection parameters of the motorcycle when it is in a horizontal and stationary state through the detection module, and adjust the initial position parameters of the detection module according to the position detection parameters of the motorcycle when it is in a horizontal and stationary state. The adjusted initial position parameters are defined as the initial position parameters of the detection module after correction.

[0030] Based on the purpose of this invention, this application also provides a vehicle equipped with an in-vehicle intelligent terminal, which is used to perform the calibration method as described in any of the preceding claims.

[0031] Furthermore, the vehicle is a motorcycle, and the onboard smart terminal is located under the motorcycle seat; or,

[0032] The vehicle-mounted intelligent terminal is located at the motorcycle's fuel tank.

[0033] Compared with the prior art, the beneficial effects of the present invention are as follows: by obtaining the initial position parameters of the vehicle-mounted intelligent terminal through the vehicle network server, the vehicle operation status system can be calibrated for various vehicle models, enabling the vehicle-mounted intelligent terminal to be adapted to various vehicle models, greatly increasing the universality of the vehicle-mounted intelligent terminal, reducing the difficulty of parts management and after-sales maintenance for automobile manufacturers, and improving production efficiency; by adjusting the initial position parameters of the detection module through error correction parameters, the problem of inaccurate judgment of vehicle operation status caused by individual differences in motorcycles and deviations in the installation position of the vehicle-mounted intelligent terminal during the installation process is solved. Attached Figure Description

[0034] Figure 1 This is a flowchart of the vehicle-mounted intelligent terminal calibration method provided in the embodiments of the present invention.

[0035] Figure 2 This is a flowchart of the detection module acquiring position detection parameters when the motorcycle is in a horizontal stationary state in an embodiment of the present invention.

[0036] Figure 3 This is a flowchart illustrating the determination of position detection parameters when a motorcycle is in a horizontal, stationary state based on position detection data, according to an embodiment of the present invention.

[0037] Figure 4 This is a structural block diagram of the in-vehicle intelligent terminal provided in an embodiment of the present invention.

[0038] Figure 5 This is a structural block diagram of the vehicle networking server according to an embodiment of the present invention.

[0039] Figure 6 This is a flowchart of the vehicle networking server according to an embodiment of the present invention. Detailed Implementation

[0040] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are some embodiments of the invention, but not all embodiments. The embodiments of the present invention are described below with reference to the accompanying drawings.

[0041] like Figure 1 As shown, a calibration method for an in-vehicle intelligent terminal is disclosed. The in-vehicle intelligent terminal is applied to a motorcycle and includes a detection module. The detection module is capable of determining the current position detection parameters of the motorcycle. The position detection parameters include at least rotation angle parameters or acceleration parameters. The calibration method is used to calibrate the detection module in the in-vehicle intelligent terminal. The calibration method includes:

[0042] Step S101: Obtain the motorcycle's vehicle information, which includes at least one of the motorcycle's model number and frame model. The motorcycle's vehicle information is stored in the vehicle production management system. After the vehicle assembly is completed, the vehicle production management system transmits the vehicle information to the vehicle's onboard intelligent terminal to ensure that the onboard intelligent terminal is matched with the vehicle. The vehicle model number and frame model number are the main identification information for matching the onboard intelligent terminal with the vehicle.

[0043] Step S102: Obtain the initial position parameters of the detection module corresponding to the motorcycle based on the vehicle information. The initial position parameters of the detection module are stored in the vehicle network server. The vehicle network server is used for network communication with the motorcycle's onboard intelligent terminal. The vehicle network server receives and effectively utilizes all vehicle dynamic information in the network connection and provides different functional services during vehicle operation. The initial position parameters are the main parameters for judging the motorcycle's operating status. Since the installation position of the onboard intelligent terminal varies for different vehicle models, the initial position parameters need to be set differently according to the vehicle model or frame model. The onboard intelligent terminal sends vehicle information to the vehicle network server, and the vehicle network server sends the initial position parameters of the detection module corresponding to the motorcycle to the onboard intelligent terminal based on the vehicle information sent by the onboard intelligent terminal.

[0044] Step S103: Obtain the position detection parameters of the motorcycle when it is in a horizontal stationary state through the detection module. The position detection parameters of the vehicle when it is in a horizontal stationary state are the benchmark parameters for the on-board intelligent terminal to determine the vehicle's operating state. Therefore, only by ensuring that the detection parameters of the motorcycle detection module when the vehicle is in a horizontal stationary state are consistent with the initial position parameters can the accuracy of the detection module be ensured, thereby enabling the correct determination of the vehicle's operating state through the detection parameters.

[0045] Step S104: Adjust the initial position parameters of the detection module according to the position detection parameters when the motorcycle is in a horizontal, stationary state. The adjusted initial position parameters are defined as the calibrated initial position parameters of the detection module. After the initial position parameters are calibrated, the detection module is calibrated and used to detect the motorcycle's position parameters, including rotational angular velocity and acceleration. Position detection parameters are one of the main parameters used by the onboard intelligent terminal to determine the vehicle's operating status. Vehicle operating status typically includes acceleration, deceleration, reversing, turning, and collision.

[0046] Therefore, the vehicle-mounted intelligent terminal calibration method of this embodiment is used to calibrate a universal vehicle-mounted intelligent terminal applicable to multiple vehicle models. When the vehicle-mounted intelligent terminal is installed in a vehicle of a specific model, it acquires and saves the corresponding vehicle information, and then sends the vehicle information to the vehicle network server. The vehicle network server sends initial position parameters corresponding to the vehicle model to the vehicle-mounted intelligent terminal based on the vehicle information sent by the vehicle-mounted intelligent terminal. Then, the vehicle-mounted intelligent terminal corrects the initial position parameters of the detection module. The calibrated detection module can acquire accurate position detection parameters of the motorcycle, and the vehicle-mounted intelligent terminal accurately determines the vehicle's operating status based on the position detection parameters acquired after calibration. This method can solve the problem in the prior art that vehicle-mounted intelligent terminals can only be used on vehicles of a corresponding model. The universal vehicle-mounted intelligent terminal can effectively reduce the types of parts for vehicle manufacturers and vehicle repair shops, alleviate inventory management pressure, and improve work efficiency. At the same time, this calibration method can also solve the problem of inaccurate judgment of vehicle operating status caused by individual differences in motorcycles and deviations in the installation position of the vehicle-mounted intelligent terminal during the installation process.

[0047] As one implementation method, such as Figure 2 As shown, the method for obtaining the position detection parameters of a motorcycle when it is in a horizontal stationary state includes:

[0048] Step S201 involves acquiring several sets of detection data within a time period when the motorcycle is in a horizontal, stationary state using the detection module. The horizontal, stationary state is the basis for determining other operating states of the vehicle, equivalent to a zero point in the measurement field. Therefore, calibrating the detection module requires calibrating its detection parameters in the horizontal, stationary state. Specifically, the detection module sets a detection time interval and repeatedly acquires the motorcycle's position detection data at fixed time intervals within a time period. For example, the vehicle's position detection data is repeatedly detected 30 times within 30 seconds at 1-second intervals to obtain 30 sets of position detection data when the vehicle is in a horizontal, stationary state. The detection module is typically a six-axis gyroscope, which includes a three-axis accelerometer and a three-axis angular velocity meter. The three-axis accelerometer measures the acceleration values ​​of the vehicle in the X, Y, and Z axes of a three-dimensional coordinate system, while the three-axis angular velocity meter measures the rotational angular velocity values ​​of the vehicle in the X, Y, and Z axes of a three-dimensional coordinate system.

[0049] Step S202: Determine the position detection parameters when the motorcycle is in a horizontal, stationary state based on several sets of position detection data. The various position detection data are processed to obtain the most accurate or representative set of data as the position detection parameters. There are various data processing methods; commonly, the average value of each set of data is calculated, or the most representative set of data is selected based on the dispersion of each set.

[0050] As one implementation method, such as Figure 3 As shown, the specific method for determining the position detection parameters of a motorcycle when it is in a horizontal stationary state based on several sets of position detection data includes:

[0051] Step S301: Remove erroneous position detection data from several sets of position detection data using a filtering algorithm. The filtering algorithm is mainly used to remove data with large storage errors from each set of detection data, thereby improving the accuracy of the detection data. Commonly used filtering algorithms include: amplitude limiting filtering, median filtering, arithmetic mean filtering, recursive average filtering, median average filtering, amplitude limiting average filtering, first-order lag filtering, weighted recursive average filtering, de-jitter filtering, amplitude limiting de-jitter filtering, etc.

[0052] Step S302: Determine the average value of each group of position detection data after removing errors; calculate the average value of various detection data after removing error data to further improve the accuracy of the data.

[0053] Step S303: Define the average value as the position detection parameter when the motorcycle is in a horizontal stationary state.

[0054] As one implementation, step S104, adjusting the initial position parameters of the detection module based on the position detection parameters when the motorcycle is in a horizontal stationary state, includes: determining error correction parameters based on the initial position parameters and the position detection parameters when the motorcycle is in a horizontal stationary state; and adjusting the initial position parameters of the detection module based on the error correction parameters.

[0055] As one implementation method, the error correction parameter is obtained by taking the difference between the initial position parameter and the position detection parameter when the motorcycle is in a horizontal stationary state.

[0056] As one implementation method, obtaining the initial position parameters of the detection module corresponding to the motorcycle based on vehicle information includes: obtaining the initial position parameters of the detection module corresponding to the motorcycle from the vehicle network platform associated with the motorcycle based on the motorcycle's vehicle information; wherein, the vehicle network platform pre-stores vehicle information and the initial position parameters corresponding to the vehicle information.

[0057] As one implementation method, in addition to obtaining the initial position parameters of the detection module corresponding to the motorcycle based on vehicle information, the vehicle-mounted intelligent terminal can also obtain a computer program package corresponding to the motorcycle and capable of running on the vehicle-mounted intelligent terminal. The computer program package is used to install the computer program for the vehicle-mounted intelligent terminal. Different motorcycle models typically require different computer programs for their corresponding vehicle-mounted intelligent terminals. As a universal vehicle-mounted intelligent terminal, only a general basic operating program needs to be installed before use. After installation, the computer program version corresponding to the motorcycle model is obtained from the vehicle network server, and the installation of the vehicle-mounted intelligent terminal's computer program is completed.

[0058] The above-mentioned calibration method for vehicle-mounted intelligent terminals enables calibration of various motorcycle models and allows the terminals to determine the operating status of motorcycles. This makes the vehicle-mounted intelligent terminals universal, reduces the difficulty of warehouse parts management, and improves the convenience of subsequent vehicle maintenance. At the same time, this calibration method can also solve the problem of inaccurate vehicle operating status judgment caused by individual differences in motorcycles and deviations in the installation position of the vehicle-mounted intelligent terminal during the installation process.

[0059] like Figure 4 As shown, this application also provides an in-vehicle intelligent terminal 100, which includes a control unit 11 and a detection module 12 connected to the control unit. The detection module 12 can acquire the current position detection parameters of the motorcycle. The control unit 11 can acquire the vehicle information of the motorcycle and acquire the initial position parameters of the detection module 12 corresponding to the motorcycle based on the vehicle information. The vehicle information includes at least one of the motorcycle's vehicle model and frame model. The control unit 11 can also acquire the position detection parameters of the motorcycle when it is in a horizontal stationary state through the detection module and adjust the initial position parameters of the detection module 12 based on the position detection parameters of the motorcycle when it is in a horizontal stationary state. The adjusted initial position parameters are defined as the corrected initial position parameters of the detection module 12.

[0060] In one implementation, the control unit 11 can obtain a computer program package corresponding to the motorcycle and capable of running on the vehicle-mounted intelligent terminal based on the vehicle information, and the control unit 11 can install the computer program running on the vehicle-mounted intelligent terminal based on the obtained computer program package.

[0061] This application also provides a vehicle equipped with an onboard intelligent terminal, which is used to perform the calibration method described above.

[0062] As one implementation method, the vehicle is a motorcycle. Considering that motorcycles have less installation space compared to four-wheeled vehicles, and that the available space for installing other components varies across different motorcycle models, the installation location of the on-board smart terminal will differ between motorcycle models. If there is installation space under the motorcycle seat, the on-board smart terminal will be placed there; or, if there is installation space near the fuel tank, the on-board smart terminal can be placed there. It should be noted that installing the on-board smart terminal near the fuel tank or under the seat effectively avoids areas with many metal parts on the motorcycle, improving the quality of the communication signal.

[0063] As one implementation method, such as Figure 5 As shown, the vehicle networking server includes:

[0064] The vehicle information receiving module 21 receives vehicle information sent by the in-vehicle intelligent terminal that has not yet downloaded the in-vehicle intelligent terminal computer program package. The vehicle information includes at least one of the vehicle model and chassis model. The computer program package storage module 22 stores the computer program packages of the in-vehicle intelligent terminals of all vehicles that can connect to the vehicle network server. The initial position parameter storage module 23 stores the initial position parameters of the in-vehicle intelligent terminals of all vehicles that can connect to the vehicle network server. The computer program package sending module 24 sends the in-vehicle intelligent terminal computer program package matched to the vehicle to the in-vehicle intelligent terminal. The initial position parameter sending module 25 sends the initial position parameters of the in-vehicle intelligent terminal matched to the vehicle to the in-vehicle intelligent terminal. The initial position parameters are used to calibrate the in-vehicle intelligent terminal. The vehicle network server stores the computer program packages of the in-vehicle intelligent terminals of each vehicle model connected to the network and the initial position parameters used for calibrating the vehicle operation status detection system in the in-vehicle intelligent terminal. When the in-vehicle intelligent terminal sends vehicle information and request commands, the server sends the computer program package and initial position parameters to the in-vehicle intelligent terminal according to the request, enabling the in-vehicle intelligent terminal to adapt to the current vehicle model.

[0065] As one implementation method, such as Figure 6 As shown, the operation mode of a vehicle networking server includes:

[0066] Step S601: Receive vehicle information sent by the in-vehicle intelligent terminal;

[0067] Step S602: Based on the received vehicle information, match the vehicle-mounted intelligent terminal computer program package and initial position parameters that match the vehicle information in the storage unit.

[0068] Step S603: Send an instruction to the vehicle-mounted intelligent terminal that matches the vehicle information and includes the vehicle-mounted intelligent terminal computer program package and initial position parameters.

[0069] As one implementation, the communication protocol between the vehicle network server and the in-vehicle intelligent terminal is set to MQTT (Message Queuing Telemetry Transport) protocol mode. MQTT is a client-server based message publish / subscribe transport protocol. Currently, the MQTT protocol requires communication between the client and server. During the communication process, there are three roles in the MQTT protocol: Publisher, Broker (server), and Subscriber. The message publisher and subscriber are both clients, the message broker is the server, and the message publisher can also be a subscriber. Vehicle manufacturers upload the computer program package and initial location parameters of various vehicle in-vehicle intelligent terminals to the vehicle network server through the client. The in-vehicle intelligent terminal subscribes to the computer program package and initial location parameters of that vehicle on the vehicle network server through the network. The vehicle network server then sends the computer program package and initial location parameters back to the in-vehicle intelligent terminal. After quality inspection and off-line, the vehicle-mounted intelligent terminal is in a power-off and offline state, and cannot be configured with software and parameters through online network communication. To adapt to this process, the vehicle-mounted intelligent terminal and the vehicle network server adopt a subscription command mode based on the MQTT protocol to ensure that the vehicle-mounted intelligent terminal can receive the commands sent by the vehicle network server after being powered on again, and download and install computer program packages and configuration parameters according to the commands.

[0070] In summary, the in-vehicle intelligent terminal and its calibration method of this application obtain the initial position parameters of the in-vehicle intelligent terminal through the vehicle network server, and can calibrate the vehicle operation status system for various models, so that the in-vehicle intelligent terminal can be adapted to various models, greatly increasing the universality of the in-vehicle intelligent terminal, reducing the difficulty of parts management and after-sales maintenance for automobile manufacturers, improving production efficiency, and at the same time, solving the problem of inaccurate judgment of vehicle operation status caused by individual differences of motorcycles and the deviation of the installation position of the in-vehicle intelligent terminal during the installation process.

[0071] The technical solution of the present invention has been described above in conjunction with specific embodiments. However, it should be noted that the above descriptions are only for explaining the solution of the present invention and should not be construed as a specific limitation on the scope of protection of the invention in any way. Based on this explanation, those skilled in the art can conceive of other specific embodiments or equivalent substitutions of the present invention without creative effort, and all such embodiments or substitutions will fall within the scope of protection of the present invention.

Claims

1. A calibration method for an in-vehicle intelligent terminal, the in-vehicle intelligent terminal being applied to a motorcycle, the in-vehicle intelligent terminal having a detection module, the detection module being capable of determining the current position detection parameters of the motorcycle, the position detection parameters including at least a rotation angle parameter, the calibration method being used for calibrating the detection module in the in-vehicle intelligent terminal; characterized in that, The calibration method includes: Obtain vehicle information of the motorcycle, the vehicle information including at least one of the motorcycle model and frame model; The initial position parameters of the detection module corresponding to the motorcycle are obtained based on the vehicle information. The detection module obtains the position detection parameters of the motorcycle when it is in a horizontal stationary state. The initial position parameters of the detection module are adjusted according to the position detection parameters when the motorcycle is in a horizontal stationary state, wherein the adjusted initial position parameters are defined as the corrected initial position parameters of the detection module. Adjusting the initial position parameters of the detection module based on the position detection parameters when the motorcycle is in a horizontal, stationary state includes: The error correction parameters are determined based on the initial position parameters and the position detection parameters when the motorcycle is in a horizontal stationary state. The initial position parameters of the detection module are adjusted according to the error correction parameters; The in-vehicle intelligent terminal can calibrate various motorcycle models and be used to determine the operating status of the motorcycle. Operating states include acceleration, deceleration, reversing, turning, and collision.

2. The calibration method for an in-vehicle intelligent terminal as described in claim 1, characterized in that, The position detection parameters obtained by the detection module when the motorcycle is in a horizontal, stationary state include: The detection module acquires several sets of position detection data when the motorcycle is in a horizontal stationary state. The position detection parameters of the motorcycle when it is in a horizontal stationary state are determined based on the aforementioned sets of position detection data.

3. The calibration method for an in-vehicle intelligent terminal as described in claim 2, characterized in that, The position detection parameters for determining the motorcycle when it is in a horizontal, stationary state based on the aforementioned sets of position detection data include: The location detection data containing errors in the plurality of sets of location detection data are removed by a filtering algorithm; Determine the average value of each group of position detection data after removing errors; The average value is defined as the position detection parameter when the motorcycle is in a horizontal stationary state.

4. The calibration method for an in-vehicle intelligent terminal as described in claim 1, characterized in that, The error correction parameter is obtained by taking the difference between the initial position parameter and the position detection parameter when the motorcycle is in a horizontal stationary state.

5. The calibration method for an in-vehicle intelligent terminal as described in claim 1, characterized in that, The initial position parameters of the detection module corresponding to the motorcycle are obtained based on the vehicle information, including: Based on the vehicle information of the motorcycle, the initial position parameters of the detection module corresponding to the motorcycle are obtained from the vehicle network platform associated with the motorcycle. The vehicle network platform pre-stores vehicle information and corresponding initial location parameters.

6. The calibration method for an in-vehicle intelligent terminal as described in claim 5, characterized in that, The in-vehicle intelligent terminal communicates with the vehicle network platform via the MQTT protocol.

7. The calibration method for an in-vehicle intelligent terminal as described in claim 1, characterized in that, In addition to obtaining the initial position parameters of the detection module corresponding to the motorcycle based on the vehicle information, the vehicle-mounted intelligent terminal can also obtain a computer program package corresponding to the motorcycle and capable of being run by the vehicle-mounted intelligent terminal based on the vehicle information.

8. A vehicle-mounted intelligent terminal, wherein the vehicle-mounted intelligent terminal is applied to a motorcycle, characterized in that, The in-vehicle intelligent terminal includes a control unit and a detection module connected to the control unit; The detection module can obtain the current position detection parameters of the motorcycle, and the position detection parameters include at least the rotation angle parameter; The control unit is able to acquire vehicle information of the motorcycle, and is able to acquire initial position parameters of the detection module corresponding to the motorcycle based on the vehicle information. The vehicle information includes at least one of the motorcycle's vehicle model and frame model. The control unit can also acquire position detection parameters of the motorcycle when it is in a horizontal stationary state through the detection module, and adjust the initial position parameters of the detection module according to the position detection parameters of the motorcycle when it is in a horizontal stationary state. The adjusted initial position parameters are defined as the corrected initial position parameters of the detection module. An error correction parameter is determined based on the initial position parameters and the position detection parameters of the motorcycle when it is in a horizontal stationary state, and the initial position parameters of the detection module are adjusted according to the error correction parameter. The on-board intelligent terminal can calibrate for various motorcycle models and is used to determine the operating status of the motorcycle. The operating status includes acceleration, deceleration, reversing, turning, and collision.

9. A vehicle, wherein the vehicle is equipped with an on-board intelligent terminal, characterized in that, The in-vehicle intelligent terminal is used to perform the calibration method according to any one of claims 1 to 7.

10. The vehicle as claimed in claim 9, characterized in that, The vehicle is a motorcycle, and the on-board intelligent terminal is located under the seat of the motorcycle; or, the on-board intelligent terminal is located at the fuel tank of the motorcycle.

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