Vehicle control method and device, vehicle, readable storage medium

Abstract

The application provides a vehicle control method and device, a vehicle and a readable storage medium, and belongs to the technical field of vehicle control. The vehicle control method comprises the following steps: acquiring the power supply state of the vehicle; if the power supply state shows that the vehicle is running out of power, performing loss detection on the stored target software variable; the target software variable is a software variable that affects the electric control function of the vehicle door; if it is detected that the target software variable is lost, issuing a prompt information; the prompt information is used for reminding the user to manually close the vehicle door when the vehicle door is opened to reset the lost target software variable. The application can effectively ensure the normal use of the electric control function of the vehicle.

Description

Technical Field

[0001] This invention belongs to the field of vehicle control technology, and more specifically, relates to a vehicle control method and device, a vehicle, and a readable storage medium. Background Technology

[0002] To improve the convenience of vehicle use, electric door systems have emerged, allowing users to electrically control the vehicle doors.

[0003] However, the electric control of the doors relies on various software variables stored in the control terminal. When these software variables are lost, it can easily affect the normal use of the vehicle's electric control functions. Summary of the Invention

[0004] The purpose of this invention is to provide a vehicle control method and device, a vehicle, and a readable storage medium to solve the problem that the loss of software variables in the prior art can easily affect the normal use of the vehicle's electric control function.

[0005] A first aspect of the present invention provides a vehicle control method, comprising:

[0006] Obtain the vehicle's power status;

[0007] If the power status indicates that the vehicle is low on power, then a loss detection is performed on the stored target software variables; wherein, the target software variables are software variables that affect the electric control function of the doors;

[0008] If the target software variable is detected to be missing, a prompt message is issued; wherein the prompt message is used to remind the user to manually lock the car door when it is opened in order to reset the missing target software variable.

[0009] In one possible implementation, the vehicle control method further includes:

[0010] The power supply voltage of the vehicle is obtained, and the fluctuation index of the power supply voltage within a preset time period is calculated; wherein, the fluctuation index is used to describe the degree of fluctuation of the power supply voltage within the preset time period.

[0011] When the volatility index is greater than the preset index value, the target software variable is detected for loss.

[0012] In one possible implementation, the vehicle control method further includes:

[0013] The target software variables are detected for loss at preset time intervals.

[0014] In one possible implementation, the vehicle control method further includes:

[0015] The power supply voltage of the vehicle is obtained, and the fluctuation index of the power supply voltage within a preset time period is calculated; wherein, the fluctuation index is used to describe the degree of fluctuation of the power supply voltage within the preset time period.

[0016] The preset time interval is determined based on the volatility index.

[0017] In one possible implementation, determining the preset time interval based on the volatility index includes:

[0018] If the volatility index is less than the preset volatility threshold, then the preset time interval is set to the default time interval;

[0019] If the volatility index is not less than a preset volatility threshold, then the preset time interval corresponding to the volatility index is determined according to a preset linear relationship;

[0020] The preset linear relationship is a linear relationship between a pre-calibrated volatility index and a preset time interval. In the preset linear relationship, the preset time interval is negatively correlated with the volatility index.

[0021] In one possible implementation, calculating the fluctuation index of the power supply voltage over a preset time period includes:

[0022] The power supply voltage is sampled within a preset time period according to a preset frequency to obtain multiple sampled voltages;

[0023] Calculate the standard deviation of the multiple sampled voltages to obtain the fluctuation index of the power supply voltage within a preset time period.

[0024] In one possible implementation, the vehicle control method further includes:

[0025] If the power status indicates that the vehicle is fully charged, then the preset time interval is reset to the default time interval.

[0026] A second aspect of the present invention provides a vehicle control device, comprising:

[0027] The data acquisition module is used to acquire the vehicle's power status;

[0028] The data detection module is used to detect the loss of stored target software variables when the power status indicates that the vehicle is low on power; wherein, the target software variables are software variables that affect the electric control function of the doors.

[0029] The vehicle control module is used to issue a prompt message when it detects that the target software variable is missing; wherein the prompt message is used to remind the user to manually lock the car door when it is open in order to reset the missing target software variable.

[0030] A third aspect of the present invention provides a vehicle, the vehicle including a control terminal, the control terminal including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the vehicle control method described above.

[0031] In a fourth aspect, the present invention provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps of the vehicle control method described above.

[0032] The beneficial effects of the vehicle control method and device, vehicle, and readable storage medium provided in the embodiments of the present invention are as follows:

[0033] Considering that a vehicle's low battery might lead to the loss of stored software variables, this invention acquires the vehicle's power status. When a vehicle is determined to be low on battery, it detects whether target software variables are missing and issues a prompt message to remind the user to reset the lost target software variables. In other words, this invention takes into account the possibility of software variable loss and provides a response strategy when software variables are lost. Therefore, this invention solves the problems of existing technologies and effectively ensures the normal use of the vehicle's electric control functions. Attached Figure Description

[0034] To more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0035] Figure 1 This is a schematic flowchart of a vehicle control method provided in an embodiment of the present invention;

[0036] Figure 2 This is a structural block diagram of a vehicle control device provided in an embodiment of the present invention;

[0037] Figure 3 This is a schematic block diagram of a control terminal provided in an embodiment of the present invention. Detailed Implementation

[0038] In the following description, specific details such as particular system architectures and techniques are set forth for illustrative purposes and not for limitation, in order to provide a thorough understanding of the embodiments of the invention. However, those skilled in the art will understand that the invention can be implemented in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, apparatuses, circuits, and methods are omitted so as not to obscure the description of the invention with unnecessary detail.

[0039] To make the objectives, technical solutions, and advantages of the present invention clearer, specific embodiments will be described below in conjunction with the accompanying drawings.

[0040] First, it should be noted that the vehicle described in this invention supports electric control. Based on this, please refer to... Figure 1 , Figure 1 This is a flowchart illustrating a vehicle control method according to an embodiment of the present invention. The vehicle control method includes:

[0041] S101: Obtain the vehicle's power status.

[0042] In this embodiment, some existing functional modules on the vehicle monitor the vehicle's power supply. Based on this, the present invention can directly obtain the vehicle's power status from the existing functional modules and make subsequent judgments based on the obtained power status.

[0043] S102: If the power status indicates that the vehicle is low on battery, then a loss detection is performed on the stored target software variables. The target software variables are those that affect the electric door control function.

[0044] In this embodiment, if the power status indicates that the vehicle is low on power, it indicates that there is a risk of software variable loss. In order to prevent the loss of software variables from affecting the use of the vehicle's electric control function, this embodiment of the invention will initiate the loss detection of target software variables when the vehicle is found to be low on power.

[0045] In this embodiment, the target software variable may include at least one variable. For example, it may include a variable characterizing the door opening degree, a variable characterizing the door push-pull feel during electric control, or a variable characterizing whether the door is in the electric control process. In other words, any software variable that can affect the electric control of the door and is at risk of being lost is within the scope of this embodiment.

[0046] S103: If a target software variable is detected to be missing, a prompt message is issued. This prompt message reminds the user to manually lock the car door when it is opened to reset the missing target software variable.

[0047] In this embodiment, if a missing target software variable is detected, the normal operation of the electric control function can be ensured by resetting the missing target software variable. Specifically, this embodiment issues a prompt message to remind the user to lock the vehicle door when it is opened. Locking the door refers to completely closing the door to a lockable position. When the user locks the door, an automatic verification process within the vehicle is triggered, resetting the missing target software variable and thus ensuring the normal operation of the vehicle's electric control function.

[0048] As can be seen from the above, considering that a vehicle's low battery might lead to the loss of stored software variables, this embodiment acquires the vehicle's power status. When it is determined that the vehicle is low on battery, it detects whether the target software variables are lost and issues a prompt message to remind the user to reset the lost target software variables when they are detected. In other words, this embodiment considers the possibility of software variable loss and provides a response strategy when software variables are lost. Therefore, this embodiment solves the problems of the prior art and effectively ensures the normal use of the vehicle's electric control function.

[0049] In one possible implementation, the vehicle control method further includes:

[0050] The system acquires the vehicle's power supply voltage and calculates the voltage fluctuation index over a preset time period. The fluctuation index describes the degree of voltage fluctuation within the preset time period.

[0051] When the volatility index is greater than the preset index value, the target software variable is detected for loss.

[0052] In the foregoing embodiments, this invention considered that a vehicle's low battery might cause the loss of target software variables. Based on this, the inventors discovered that even when the vehicle is not in a low battery state, significant fluctuations in the vehicle's power supply voltage can also lead to the loss of target software variables. Therefore, this embodiment of the invention also acquires the vehicle's power supply voltage, calculates the degree of voltage fluctuation within a preset time period, and determines whether to initiate target software variable loss detection based on the degree of fluctuation. Specifically, when the degree of voltage fluctuation is determined to be significant (i.e., the fluctuation index is greater than a preset index value), target software variable loss detection is initiated, thereby more effectively preventing the impact on vehicle performance caused by software variable loss.

[0053] In one possible implementation, the vehicle control method further includes:

[0054] Missing variables in the target software are detected at preset time intervals.

[0055] In this embodiment, in order to further avoid the impact of software variable loss on vehicle performance (specifically on the vehicle's electric control function), this embodiment also sets up a method to detect the loss of target software variables at a fixed period (i.e., a preset time interval) to prevent the occurrence of software variable loss due to other factors, thereby more effectively ensuring the normal use of the vehicle's electric control function.

[0056] In this embodiment, the preset time interval can be set according to actual needs.

[0057] In one possible implementation, the vehicle control method further includes:

[0058] The system acquires the vehicle's power supply voltage and calculates the voltage fluctuation index over a preset time period. The fluctuation index describes the degree of voltage fluctuation within the preset time period.

[0059] The preset time interval is determined based on the volatility index.

[0060] In this embodiment, a method is disclosed for calculating the preset time interval based on the fluctuation index of the power supply voltage within a preset time period. Based on this method, this embodiment can adjust the time interval for detecting the loss of target software variables according to the degree of power supply voltage fluctuation, thereby making the frequency of target software variable loss detection more reasonable. For example, this embodiment can consider selecting a smaller preset time interval when the vehicle power supply voltage fluctuation is large, thereby increasing the frequency of target software variable loss detection, preventing the loss of target software variables due to power supply voltage fluctuations, and thus avoiding impact on vehicle performance. Conversely, this embodiment can consider selecting a relatively larger time interval as the preset time interval when the vehicle power supply voltage fluctuation is low, thereby reducing the processor's computational load and saving system resources.

[0061] In one possible implementation, a preset time interval is determined based on a volatility index, including:

[0062] If the volatility index is less than the preset volatility threshold, the preset time interval will be set to the default time interval.

[0063] If the volatility index is not less than the preset volatility threshold, then the preset time interval corresponding to the volatility index is determined according to the preset linear relationship.

[0064] Among them, the preset linear relationship is the linear relationship between the pre-calibrated volatility index and the preset time interval. In the preset linear relationship, the preset time interval is negatively correlated with the volatility index.

[0065] In this embodiment, if the fluctuation index is less than a preset fluctuation threshold, the default time interval can be used directly as the preset time interval. If the fluctuation index is not less than the preset fluctuation threshold, the preset time interval corresponding to the current fluctuation index can be calculated based on a preset linear relationship between the fluctuation index and the preset time interval. The preset time interval is negatively correlated with the fluctuation index; that is, the greater the fluctuation of the power supply voltage, the smaller the preset time interval, and the higher the frequency of target software variable loss detection. A greater fluctuation in the power supply voltage indicates a higher risk of target software variable loss. In this case, the frequency of target software variable loss detection can be increased to ensure the timeliness of target software variable loss detection, thereby better ensuring the normal operation of the vehicle.

[0066] In this embodiment, the larger the volatility index, the smaller the preset time interval. However, if the volatility index is too large, the preset time interval may be too small. To avoid this, a minimum value for the preset time interval can be set. When the preset time interval calculated based on the volatility index is less than the minimum value, the aforementioned minimum value is used as the preset time interval. Based on this, determining the preset time interval based on the volatility index can also be described in detail as follows:

[0067]

[0068] Where t is the preset time interval, t0 is the default time interval, and δ is the volatility index. t' is the preset fluctuation threshold, and t' is the preset adjustment step size. min This is the minimum limit for the time interval.

[0069] In one possible implementation, the fluctuation index of the power supply voltage over a preset time period is calculated, including:

[0070] The power supply voltage is sampled at a preset frequency within a preset time period to obtain multiple sampled voltages.

[0071] Calculate the standard deviation of multiple sampled voltages to obtain the fluctuation index of the power supply voltage within a preset time period.

[0072] In this embodiment, the standard deviation can describe the discrete distribution of each data point within a set of data. Therefore, this embodiment uses the standard deviation of multiple sampled voltages within a preset time period to describe the fluctuation of the power supply voltage within the preset time period. The larger the standard deviation, the higher the fluctuation of the power supply voltage within the preset time period. Correspondingly, the risk of loss of the target software variable is higher. At this time, it is advisable to perform loss detection on the target software variable or reduce the time interval of loss detection of the target software variable to ensure the timeliness of loss detection of the target software variable, thereby ensuring the normal use of the vehicle's electric control function.

[0073] In one possible implementation, the vehicle control method further includes:

[0074] If the power status shows that the vehicle is fully charged, the preset time interval will be reset to the default time interval.

[0075] In this embodiment, the following scenario is considered: the vehicle's power supply voltage fluctuates, gradually leading to a low-power state. During this process, the preset time interval (i.e., the time interval for detecting the loss of target software variables) is reduced. Subsequently, the vehicle charges and reaches a full charge. If the previously reduced preset time interval is continued at this point, it may waste system resources. Therefore, when the vehicle is determined to be fully charged, this embodiment of the invention resets the time interval for detecting the loss of target software variables, thereby avoiding the above situation.

[0076] Corresponding to the vehicle control method in the above embodiments, Figure 2 This is a structural block diagram of a vehicle control device according to an embodiment of the present invention. For ease of explanation, only the parts relevant to the embodiment of the present invention are shown. (See references) Figure 2 The vehicle control device 20 includes: a data acquisition module 21, a data detection module 22, and a vehicle control module 23.

[0077] The data acquisition module 21 is used to acquire the power status of the vehicle.

[0078] The data detection module 22 is used to detect the loss of stored target software variables when the power status indicator shows that the vehicle is low on power. The target software variables are those that affect the electric door control function.

[0079] The vehicle control module 23 is used to issue a prompt message when it detects that a target software variable is missing. The prompt message reminds the user to manually lock the vehicle door when it is open to reset the missing target software variable.

[0080] In one possible implementation, the data detection module 22 is further used for:

[0081] The system acquires the vehicle's power supply voltage and calculates the voltage fluctuation index over a preset time period. The fluctuation index describes the degree of voltage fluctuation within the preset time period.

[0082] When the volatility index is greater than the preset index value, the target software variable is detected for loss.

[0083] In one possible implementation, the data detection module 22 is further used for:

[0084] Missing variables in the target software are detected at preset time intervals.

[0085] In one possible implementation, the data detection module 22 is further used for:

[0086] The system acquires the vehicle's power supply voltage and calculates the voltage fluctuation index over a preset time period. The fluctuation index describes the degree of voltage fluctuation within the preset time period.

[0087] The preset time interval is determined based on the volatility index.

[0088] In one possible implementation, the data detection module 22 is specifically used to perform the following steps:

[0089] If the volatility index is less than the preset volatility threshold, the preset time interval will be set to the default time interval.

[0090] If the volatility index is not less than the preset volatility threshold, then the preset time interval corresponding to the volatility index is determined according to the preset linear relationship.

[0091] Among them, the preset linear relationship is the linear relationship between the pre-calibrated volatility index and the preset time interval. In the preset linear relationship, the preset time interval is negatively correlated with the volatility index.

[0092] In one possible implementation, the data detection module 22 is specifically used to perform the following steps:

[0093] The power supply voltage is sampled at a preset frequency within a preset time period to obtain multiple sampled voltages.

[0094] Calculate the standard deviation of multiple sampled voltages to obtain the fluctuation index of the power supply voltage within a preset time period.

[0095] In one possible implementation, the data detection module 22 is further configured to perform the following steps:

[0096] If the power status shows that the vehicle is fully charged, the preset time interval will be reset to the default time interval.

[0097] This invention also provides a vehicle, which includes a control terminal, see below. Figure 3 , Figure 3 This is a schematic block diagram of a control terminal provided in an embodiment of the present invention. Figure 3The terminal 300 in this embodiment may include one or more processors 301, one or more input devices 302, one or more output devices 303, and one or more memories 304. The processors 301, input devices 302, output devices 303, and memories 304 communicate with each other via a communication bus 305. The memories 304 store computer programs, including program instructions. The processors 301 execute the program instructions stored in the memories 304. Specifically, the processors 301 are configured to invoke the program instructions to perform the functions of the modules / units in the above-described device embodiments, such as... Figure 2 The functions of modules 21 to 23 are shown.

[0098] It should be understood that, in this embodiment of the invention, the processor 301 may be a Central Processing Unit (CPU), but it may also be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor.

[0099] Input device 302 may include a touchpad, a fingerprint sensor (for collecting the user's fingerprint information and fingerprint orientation information), a microphone, etc., and output device 303 may include a display (LCD, etc.), a speaker, etc.

[0100] The memory 304 may include read-only memory and random access memory, and provides instructions and data to the processor 301. A portion of the memory 304 may also include non-volatile random access memory. For example, the memory 304 may also store device type information.

[0101] In specific implementations, the processor 301, input device 302, and output device 303 described in the embodiments of the present invention can execute the implementation methods described in the first and second embodiments of the vehicle control method provided in the embodiments of the present invention, or they can execute the implementation methods of the terminal described in the embodiments of the present invention, which will not be repeated here.

[0102] In another embodiment of the present invention, a computer-readable storage medium is provided. The computer-readable storage medium stores a computer program, which includes program instructions. When executed by a processor, the program instructions implement all or part of the processes in the methods described above. The computer program can also instruct related hardware to complete the process. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include any entity or device capable of carrying computer program code, recording media, USB flash drives, portable hard drives, magnetic disks, optical disks, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signals, telecommunication signals, and software distribution media, etc. It should be noted that the content included in the computer-readable medium can be appropriately added or removed according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, the computer-readable medium does not include electrical carrier signals and telecommunication signals.

[0103] The computer-readable storage medium can be an internal storage unit of the terminal in any of the foregoing embodiments, such as the terminal's hard disk or memory. The computer-readable storage medium can also be an external storage device of the terminal, such as a plug-in hard disk, smart media card (SMC), secure digital card (SD), flash card, etc., equipped on the terminal. Furthermore, the computer-readable storage medium can include both internal storage units and external storage devices of the terminal. The computer-readable storage medium is used to store computer programs and other programs and data required by the terminal. The computer-readable storage medium can also be used to temporarily store data that has been output or will be output.

[0104] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of both. To clearly illustrate the interchangeability of hardware and software, the components and steps of the various examples have been generally described in terms of functionality in the foregoing description. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this invention.

[0105] Those skilled in the art will understand that, for the sake of convenience and brevity, the specific working processes of the terminals and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0106] In the several embodiments provided in this application, it should be understood that the disclosed terminals and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed may be indirect coupling or communication connection through some interfaces or units, or it may be an electrical, mechanical, or other form of connection.

[0107] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of the embodiments of the present invention, depending on actual needs.

[0108] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0109] The above are merely specific embodiments of the present invention, but the scope of protection of the present invention is not limited thereto. Any person skilled in the art can easily conceive of various equivalent modifications or substitutions within the technical scope disclosed in the present invention, and these modifications or substitutions should all be covered within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A vehicle control method, characterized in that, include: Obtain the vehicle's power status; If the power status indicates that the vehicle is low on power, then a loss detection is performed on the stored target software variables; wherein, the target software variables are software variables that affect the electric control function of the doors; If the target software variable is detected to be missing, a prompt message is issued; wherein, the prompt message is used to remind the user to manually lock the car door when it is open in order to reset the missing target software variable; when the user locks the car door, an automatic verification process inside the vehicle can be triggered to reset the missing target software variable.

2. The vehicle control method as described in claim 1, characterized in that, The vehicle control method further includes: The power supply voltage of the vehicle is obtained, and the fluctuation index of the power supply voltage within a preset time period is calculated; wherein, the fluctuation index is used to describe the degree of fluctuation of the power supply voltage within the preset time period. When the volatility index is greater than the preset index value, the target software variable is detected for loss.

3. The vehicle control method as described in claim 1, characterized in that, The vehicle control method further includes: The target software variables are detected for loss at preset time intervals.

4. The vehicle control method as described in claim 3, characterized in that, The vehicle control method further includes: The power supply voltage of the vehicle is obtained, and the fluctuation index of the power supply voltage within a preset time period is calculated; wherein, the fluctuation index is used to describe the degree of fluctuation of the power supply voltage within the preset time period. The preset time interval is determined based on the volatility index.

5. The vehicle control method as described in claim 4, characterized in that, Determining the preset time interval based on the volatility index includes: If the volatility index is less than the preset volatility threshold, then the preset time interval is set to the default time interval; If the volatility index is not less than a preset volatility threshold, then the preset time interval corresponding to the volatility index is determined according to a preset linear relationship; The preset linear relationship is a linear relationship between a pre-calibrated volatility index and a preset time interval. In the preset linear relationship, the preset time interval is negatively correlated with the volatility index.

6. The vehicle control method as described in any one of claims 2 or 4, characterized in that, The calculation of the power supply voltage fluctuation index over a preset time period includes: The power supply voltage is sampled within a preset time period according to a preset frequency to obtain multiple sampled voltages; Calculate the standard deviation of the multiple sampled voltages to obtain the fluctuation index of the power supply voltage within a preset time period.

7. The vehicle control method according to any one of claims 3 to 5, characterized in that, The vehicle control method further includes: If the power status indicates that the vehicle is fully charged, then the preset time interval is reset to the default time interval.

8. A vehicle control device, characterized in that, include: The data acquisition module is used to acquire the vehicle's power status; The data detection module is used to detect the loss of stored target software variables when the power status indicates that the vehicle is low on power; wherein, the target software variables are software variables that affect the electric control function of the doors. The vehicle control module is used to issue a prompt message when it detects that the target software variable is missing; wherein, the prompt message is used to remind the user to manually lock the car door when it is open in order to reset the missing target software variable; when the user locks the car door, it can trigger an automatic verification process inside the vehicle to reset the missing target software variable.

9. A vehicle, characterized in that, include: Control terminal; The control terminal includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the steps of the method as described in any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method as described in any one of claims 1 to 7.

Images