Multi-plane detection antenna remote calibration method and system

Abstract

The invention provides a remote calibration method and system for a multi-plane detection antenna, and relates to the technical field of detection antennae, and the method comprises the following steps: generating a first calibration point and a second calibration point according to the parameters of the detection antenna; acquiring detection images of the first calibration point and the second calibration point; feature points on the detection image are extracted, and the score of the feature points detected by each detection antenna is calculated; whether the total scores of the feature points detected by all the detection antennas are the same is judged, and if yes, calibration is completed; on the contrary, the calibration point with the high total score is selected; and adjusting the detection antenna according to the score of the detection antenna on the calibration point with the higher total score, and carrying out detection again. The two calibration points are generated according to the multiple detection antenna parameters, and the detection feature scores of the detection antennas on the calibration points are obtained, so that the detection antennas are remotely adjusted and calibrated, it is ensured that all the detection antennas enter the optimal state of detection preparation, the detection task can be better executed, and the detection precision is ensured.

Description

Technical Field

[0001] The present application relates to the technical field of detection antennas, and in particular to a method and system for remote calibration of a multi-plane detection antenna. Background Art

[0002] In recent years, antennas have been applied to intelligent electrical devices. The antennas are stimulated to generate detection microwaves with an initial polarization direction. The detection microwaves detect the activity status of users in a target area in a manner that the detection surface covers the target area, so that the intelligent electrical devices can adjust the working status and working mode according to the user's activity status to provide users with intelligent and humanized services.

[0003] Metasurface refers to an artificial layered material with a thickness less than the wavelength. Metasurfaces can achieve flexible and effective control of the polarization, amplitude, phase, polarization mode, propagation mode and other characteristics of electromagnetic waves; according to the type of waves being controlled, metasurfaces can be divided into optical metasurfaces, acoustic metasurfaces, mechanical metasurfaces, etc. Optical metasurfaces are the most common type. They can control the polarization, phase, amplitude, frequency and other characteristics of electromagnetic waves through sub-wavelength microstructures. They are an emerging technology that combines optics and nanotechnology.

[0004] Therefore, a metasurface detection antenna that combines metasurface technology and antenna detection technology has now appeared, that is, a metasurface lens is set on the detection antenna, and the optical metasurface is used to regulate electromagnetic waves for detection and communication. For example, the Chinese patent invention patent CN111600123A provides a metasurface antenna. The metasurface antenna includes a first substrate, a second substrate, a third substrate, a fourth substrate, a metasurface structure, a radiation patch, a ground plate, a directional differential feeding network and a capacitive matching network. The above invention technical solution is electrically connected to the radiation patch through two signal output ends of the directional differential feeding network, and the directional differential feeding network performs differential feeding to the radiation patch through the two signal output ends, so that the radiation patch generates a directional radiation source, a capacitive matching network is arranged in the second substrate and the third substrate, and a ground plate is arranged between the third substrate and the fourth substrate. The capacitive matching network is connected to the radiation patch so that the radiation patch generates an omnidirectional radiation source, and the metasurface structure receives the directional radiation source and / or the omnidirectional radiation source, and widens the frequency band width of the directional radiation source and / or the omnidirectional radiation source, and increases the gain of the directional radiation source and / or the omnidirectional radiation source.

[0005] However, the metasurface lens structure is set on a plane, resulting in poor detection accuracy. In order to avoid this defect, multiple metasurface lens antennas should be set and set at different positions to form different planes. Simultaneous detection by multiple metasurface detection antennas can obtain greater detection accuracy. However, the positions of multiple metasurface antennas are different. If they are not accurately detected, the detection target may be lost, resulting in detection accuracy that is worse than that of a single-plane detection antenna.

[0006] Therefore, a multi-plane detection antenna remote calibration method and system are desired, which can effectively calibrate multiple detection antennas in multiple planes before the detection task is performed, thereby improving the accuracy of the multiple detection antennas in performing the detection task. Summary of the invention

[0007] In order to solve the above problems, an embodiment of the present application provides a multi-plane detection antenna remote calibration method, which generates two calibration points based on multiple detection antenna parameters, obtains the detection feature scores of the detection antenna for the calibration points, and remotely adjusts and calibrates the detection antenna to ensure that all detection antennas are in the best state of detection preparation, can better perform detection tasks, and ensure detection accuracy.

[0008] In a first aspect, an embodiment of the present application provides a multi-plane detection antenna remote calibration method, the method comprising:

[0009] S100: generating a first calibration point and a second calibration point according to a plurality of detection antenna parameters;

[0010] S200: Acquire detection images of a first calibration point and a second calibration point detected by multiple detection antennas;

[0011] S300: extracting feature points on the detection images of the first calibration point and the second calibration point, and calculating the feature point scores of each detection antenna for the first calibration point and the second calibration point;

[0012] S400: Determine whether the total scores of the feature points of the first calibration point and the second calibration point obtained by all detection antennas are the same. If so, the calibration is completed. Otherwise, select the calibration point with a higher total score and execute step S500.

[0013] S500: Adjust the detection antenna according to the score of the detection antenna for the calibration point with a higher total score, and return to step S200.

[0014] As one of the preferred embodiments of the present invention, when executing step S100, it specifically includes:

[0015] S110: Start the detection antenna;

[0016] S120: Determine whether the detection antenna is working properly, if so, execute step S130; otherwise, do not execute the operation;

[0017] S130: Acquire detection antenna parameters, and obtain the location, model, and detection mode of the detection antenna;

[0018] S140: Select multiple detection antennas with the same model and detection mode but different positions to generate a first calibration point and a second calibration point.

[0019] As one of the preferred embodiments of the present invention, when executing step S140, it specifically includes:

[0020] S141: Calculate the center points of the locations of multiple detection antennas;

[0021] S142: draw a circle with the center point as the center and the farthest detection antenna distance as the radius, and obtain the point on the circle with the largest sum of distances from all detection antennas as the first calibration point;

[0022] S143: Generate a second calibration point, such that the second calibration point is located on a side of the first calibration point away from the center point, and the center point and the second calibration point are at the same distance from the first calibration point.

[0023] As one of the preferred embodiments of the present invention, when executing step S200,

[0024] If there are detection objects at the first calibration point and the second calibration point, the multiple detection antennas directly detect the detection objects at the first calibration point and the second calibration point to obtain detection images;

[0025] If there is no detection object at the first calibration point and the second calibration point, the detection objects at the first calibration point and the second calibration point are artificially generated, and detection is performed to obtain a detection image.

[0026] Artificially generated detection objects include artificial smoke or drones.

[0027] As one of the preferred embodiments of the present invention, when executing step S300, it specifically includes:

[0028] S310: extracting feature points of all images;

[0029] S320: Acquire all feature points whose occurrence rate is higher than a first predetermined threshold as target features;

[0030] S330: Calculate the number of occurrences L of all target features detected by each detection antenna and the ratio a of the detection image occupied when they appear, and accumulate the products of L and a of all target features to obtain the feature point score of each detection antenna for the first calibration point or the second calibration point.

[0031] As one of the preferred embodiments of the present invention, when executing step S500, specifically: adjusting the detection antenna according to the score of the detection antenna for the calibration point with a higher total score, the lower the score, the greater the adjustment amount.

[0032] As one of the preferred embodiments of the present invention, when executing step S500, the method of adjusting the detection antenna includes:

[0033] The metasurface lens rate of the detection antenna is adjusted; and the orientation direction of the detection antenna is adjusted.

[0034] In a second aspect, an embodiment of the present application provides a multi-plane detection antenna remote calibration system, the system comprising:

[0035] Calibration point generation module;

[0036] Detection image acquisition module;

[0037] Feature point scoring module;

[0038] Judgment module;

[0039] Regulation module;

[0040] The calibration point generation module generates the first calibration point and the second calibration point according to the parameters of multiple detection antennas; the detection image acquisition module obtains the detection images of the first calibration point and the second calibration point detected by multiple detection antennas; the feature point scoring module extracts the feature points on the detection images of the first calibration point and the second calibration point, and calculates the feature point scores of each detection antenna for the first calibration point and the second calibration point; the judgment module judges whether the total scores of the feature points of the first calibration point and the second calibration point by all detection antennas are the same, if so, the calibration is completed; otherwise, the calibration point with a higher total score is selected, and the adjustment module is started; the adjustment module adjusts the detection antenna according to the score of the detection antenna for the calibration point with a higher total score, and starts the detection image acquisition module again to work.

[0041] In a third aspect, an embodiment of the present application provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the method provided in any possible implementation manner of the first aspect is implemented.

[0042] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the method provided in any possible implementation manner of the first aspect is implemented.

[0043] The beneficial effects of the present invention are:

[0044] Two calibration points are generated based on multiple detection antenna parameters, and the detection feature scores of the detection antennas for the calibration points are obtained, so that the detection antennas can be remotely adjusted and calibrated to ensure that all detection antennas are in the best state of detection preparation, so that the detection tasks can be better performed and the detection accuracy can be ensured. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0046] Figure 1 A schematic diagram of a flow chart of a multi-plane detection antenna remote calibration method provided in an embodiment of the present application;

[0047] Figure 2 A schematic diagram of the positions of a first calibration point and a second calibration point generated in a multi-plane detection antenna remote calibration method provided in an embodiment of the present application. DETAILED DESCRIPTION

[0048] The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application.

[0049] In the following introduction, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance. The following introduction provides multiple embodiments of the present application, and different embodiments can be replaced or combined, so the present application can also be considered to include all possible combinations of the same and / or different embodiments recorded. Therefore, if one embodiment includes features A, B, and C, and another embodiment includes features B and D, then the present application should also be considered to include embodiments containing one or more of all other possible combinations of A, B, C, and D, although the embodiment may not be clearly recorded in the following text.

[0050] The following description provides examples and does not limit the scope, applicability or examples set forth in the claims. Changes may be made to the functions and arrangements of the elements described without departing from the scope of the present application. Various processes or components may be appropriately omitted, substituted or added to each example. For example, the described method may be performed in an order different from the order described, and various steps may be added, omitted or combined. In addition, features described in some examples may be combined in other examples.

[0051] Example 1: See Figure 1 , 2 , Figure 1 : is a flow chart of a multi-plane detection antenna remote calibration method provided in an embodiment of the present application. In an embodiment of the present application, the method includes:

[0052] S100: generating a first calibration point and a second calibration point according to a plurality of detection antenna parameters;

[0053] In the present invention, when executing step S100, it specifically includes:

[0054] S110: Start the detection antenna;

[0055] S120: Determine whether the detection antenna is working properly, if so, execute step S130; otherwise, do not execute the operation;

[0056] S130: Acquire detection antenna parameters, and obtain the location, model, and detection mode of the detection antenna;

[0057] S140: Select multiple detection antennas with the same model and detection mode but different positions to generate a first calibration point and a second calibration point.

[0058] In the present invention, when executing step S140, it specifically includes:

[0059] S141: Calculate the center points of the locations of multiple detection antennas;

[0060] S142: draw a circle with the center point as the center and the farthest detection antenna distance as the radius, and obtain the point on the circle with the largest sum of distances from all detection antennas as the first calibration point;

[0061] S143: Generate a second calibration point, so that the second calibration point is located on the side of the first calibration point away from the center point, and the center point and the second calibration point are at the same distance from the first calibration point, such as Figure 2 shown.

[0062] S200: Acquire detection images of a first calibration point and a second calibration point detected by multiple detection antennas;

[0063] In the present invention, when executing step S200,

[0064] If there are detection objects at the first calibration point and the second calibration point, the multiple detection antennas directly detect the detection objects at the first calibration point and the second calibration point to obtain detection images;

[0065] If there is no detection object at the first calibration point and the second calibration point, the detection objects at the first calibration point and the second calibration point are artificially generated, and detection is performed to obtain a detection image.

[0066] Artificially generated detection objects include artificial smoke or drones.

[0067] S300: extracting feature points on the detection images of the first calibration point and the second calibration point, and calculating the feature point scores of each detection antenna for the first calibration point and the second calibration point;

[0068] In the present invention, when executing step S300, it specifically includes:

[0069] S310: extracting feature points of all images;

[0070] S320: Acquire all feature points whose occurrence rate is higher than a first predetermined threshold as target features;

[0071] S330: Calculate the number of occurrences L of all target features detected by each detection antenna and the ratio a of the detection image occupied when they appear, and accumulate the products of L and a of all target features to obtain the feature point score of each detection antenna for the first calibration point or the second calibration point.

[0072] S400: Determine whether the total scores of the feature points of the first calibration point and the second calibration point obtained by all detection antennas are the same. If so, the calibration is completed. Otherwise, select the calibration point with a higher total score and execute step S500.

[0073] Of course, the verification in the present invention means that the calibration and debugging of these multi-plane detection antennas are completed, and all detection antennas are already in the best working state. Next, the detection task can be formally performed, and all detection antennas are adjusted and used according to the detection task.

[0074] S500: Adjust the detection antenna according to the score of the detection antenna for the calibration point with a higher total score, and return to step S200.

[0075] In the present invention, when step S500 is executed, specifically: the detection antenna is adjusted according to the score of the detection antenna for the calibration point with a higher total score, and the lower the score, the greater the adjustment amount.

[0076] In the present invention, when executing step S500, the method of adjusting the detection antenna includes: adjusting the metasurface lens rate of the detection antenna; and adjusting the orientation direction of the detection antenna.

[0077] The present invention discloses a multi-plane detection antenna remote calibration method, which generates two calibration points according to multiple detection antenna parameters, obtains the detection feature scores of the detection antenna for the calibration points, and thus remotely adjusts and calibrates the detection antenna to ensure that all detection antennas are in the best state of detection preparation, can better perform detection tasks, and ensure detection accuracy.

[0078] Embodiment 2: The embodiment of the present application provides a multi-plane detection antenna remote calibration system, the system comprising:

[0079] Calibration point generation module;

[0080] Detection image acquisition module;

[0081] Feature point scoring module;

[0082] Judgment module;

[0083] Regulation module;

[0084] The calibration point generation module generates the first calibration point and the second calibration point according to the parameters of multiple detection antennas; the detection image acquisition module obtains the detection images of the first calibration point and the second calibration point detected by multiple detection antennas; the feature point scoring module extracts the feature points on the detection images of the first calibration point and the second calibration point, and calculates the feature point scores of each detection antenna for the first calibration point and the second calibration point; the judgment module judges whether the total scores of the feature points of the first calibration point and the second calibration point by all detection antennas are the same, if so, the calibration is completed; otherwise, the calibration point with a higher total score is selected, and the adjustment module is started; the adjustment module adjusts the detection antenna according to the score of the detection antenna for the calibration point with a higher total score, and starts the detection image acquisition module again to work.

[0085] Those skilled in the art can clearly understand that the technical solutions of the embodiments of the present application can be implemented with the help of software and / or hardware. The "unit" and "module" in this specification refer to software and / or hardware that can independently complete or cooperate with other components to complete specific functions, where the hardware can be, for example, a field programmable gate array (Field-Programmable Gate Array, FPGA), an integrated circuit (Integrated Circuit, IC), etc.

[0086] It can be understood that the devices provided in the embodiments of the present invention are all applicable to the method described in Embodiment 1. The specific functions of each module can refer to the above method flow and will not be described in detail here.

[0087] Embodiment 3, an electronic device provided by the embodiment of the present invention is used to implement the method described in embodiment 1. The electronic device may include: at least one central processor, at least one network interface, a control interface, a memory, and at least one communication bus.

[0088] Among them, the communication bus is used to realize the connection, communication and information exchange between various components.

[0089] The network interface may optionally include a standard wired interface or a wireless interface (such as a Wi-Fi interface).

[0090] Among them, the control interface is used to output control operations according to instructions.

[0091] The central processing unit may include one or more processing cores. The central processing unit uses various interfaces and lines to connect various parts in the entire terminal, and executes various functions of the terminal and processes data according to the method described in the first embodiment by running or executing instructions, programs, code sets or instruction sets stored in the memory, and calling data stored in the memory.

[0092] The memory may include a random access memory (RAM) or a read-only memory (ROM). Optionally, the memory includes a non-transitory computer-readable storage medium. The memory may be used to store instructions, programs, codes, code sets or instruction sets. The memory may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playback function, an image playback function, etc.), and methods for implementing the above-mentioned embodiment 1; the data storage area may store data involved in each of the above method embodiments, etc.

[0093] The present invention also provides a computer-readable storage medium, on which a computer program is stored, and when the program is executed by a processor, the method described in the first embodiment is implemented. The computer-readable storage medium may include, but is not limited to, any type of disk, including a floppy disk, an optical disk, a DVD, a CD-ROM, a micro drive, and a magneto-optical disk, a ROM, a RAM, an EPROM, an EEPROM, a DRAM, a VRAM, a flash memory device, a magnetic card or an optical card, a nanosystem (including a molecular memory IC), or any type of medium or device suitable for storing instructions and / or data.

[0094] It should be noted that, for the above-mentioned method embodiments, for the sake of simplicity, they are all described as a series of action combinations, but those skilled in the art should know that the present invention is not limited by the described action sequence, because according to the present invention, certain steps can be performed in other sequences or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required by the present invention.

[0095] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0096] In the several embodiments provided by the present invention, it should be understood that the disclosed devices can be implemented in other ways. For example, the device embodiments described above are only schematic, such as the division of the units, which is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some service interfaces, and the indirect coupling or communication connection of devices or units can be electrical or other forms.

[0097] The units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. In addition, the functional units in the various embodiments of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated units may be implemented in the form of hardware or in the form of software functional units.

[0098] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a memory, including a number of instructions for a computer device (which can be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned memory includes: U disk, read-only memory (ROM), random access memory (RAM), mobile hard disk, magnetic disk or optical disk and other media that can store program codes.

[0099] A person skilled in the art may understand that all or part of the steps in the various methods of the above embodiments may be completed by entering a program to instruct the relevant hardware. The program may be stored in a computer-readable memory, and the memory may include: a flash drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, etc.

[0100] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the statement "comprise a ..." do not exclude the presence of other identical elements in the process, method, article or device comprising the elements.

[0101] The above contents are further detailed descriptions of the present invention in combination with specific preferred implementation modes, and it cannot be determined that the specific embodiments of the present invention are limited to these descriptions. For ordinary technicians in the technical field to which the present invention belongs, several simple deductions or substitutions can be made without departing from the concept of the present invention, which should be regarded as belonging to the protection scope of the present invention.

Claims

1. A multi-plane detection antenna remote calibration method, characterized in that: include: S100: generating a first calibration point and a second calibration point according to a plurality of detection antenna parameters; S200: Acquire detection images of a first calibration point and a second calibration point detected by multiple detection antennas; S300: extracting feature points on the detection images of the first calibration point and the second calibration point, and calculating the feature point scores of each detection antenna for the first calibration point and the second calibration point; S400: Determine whether the total scores of all detection antennas for the feature points of the first calibration point and the second calibration point are the same. If so, the calibration is completed; otherwise, select the calibration point with a higher total score and execute step S500; S500: Adjust the detection antenna according to the score of the detection antenna for the calibration point with a higher total score, and return to step S200.

2. A multi-plane detection antenna remote calibration method according to claim 1, characterized in that: When executing step S100, it specifically includes: S110: Start the detection antenna; S120: Determine whether the detection antenna is working properly, if so, execute step S130; otherwise, do not execute the operation; S130: Acquire detection antenna parameters, and obtain the location, model, and detection mode of the detection antenna; S140: Select multiple detection antennas with the same model and detection mode but different positions to generate a first calibration point and a second calibration point.

3. A multi-plane detection antenna remote calibration method according to claim 2, characterized in that: When executing step S140, it specifically includes: S141: Calculate the center points of the locations of multiple detection antennas; S142: draw a circle with the center point as the center and the farthest detection antenna distance as the radius, and obtain the point on the circle with the largest sum of distances from all detection antennas as the first calibration point; S143: Generate a second calibration point, such that the second calibration point is located on a side of the first calibration point away from the center point, and the center point and the second calibration point are at the same distance from the first calibration point.

4. A multi-plane detection antenna remote calibration method according to claim 1, characterized in that: When executing step S200, If there are detection objects at the first calibration point and the second calibration point, the multiple detection antennas directly detect the detection objects at the first calibration point and the second calibration point to obtain detection images; If there is no detection object at the first calibration point and the second calibration point, the detection objects at the first calibration point and the second calibration point are artificially generated, and detection is performed to obtain a detection image. Artificially generated detection objects include artificial smoke or drones.

5. A multi-plane detection antenna remote calibration method according to claim 1, characterized in that: When executing step S300, it specifically includes: S310: extracting feature points of all images; S320: Acquire all feature points whose occurrence rate is higher than a first predetermined threshold as target features; S330: Calculate the number of occurrences L of all target features detected by each detection antenna and the ratio a of the detection image occupied when they appear, and accumulate the products of L and a of all target features to obtain the feature point score of each detection antenna for the first calibration point or the second calibration point.

6. A multi-plane detection antenna remote calibration method according to claim 1, characterized in that: When step S500 is executed, specifically: the detection antenna is adjusted according to the score of the detection antenna for the calibration point with a higher total score, and the lower the score, the greater the adjustment amount.

7. A multi-plane detection antenna remote calibration method according to claim 1, characterized in that: When executing step S500, the manner of adjusting the detection antenna includes: The metasurface lens rate of the detection antenna is adjusted; and the orientation direction of the detection antenna is adjusted.

8. A multi-plane detection antenna remote calibration system, characterized in that: include: Calibration point generation module; Detection image acquisition module; Feature point scoring module; Judgment module; Regulation module; The calibration point generation module generates a first calibration point and a second calibration point according to the parameters of the plurality of detection antennas; the detection image acquisition module acquires detection images of the first calibration point and the second calibration point detected by the plurality of detection antennas; The feature point scoring module extracts feature points on the detection images of the first calibration point and the second calibration point, and calculates the feature point scores of each detection antenna for the first calibration point and the second calibration point; The judging module judges whether the total scores of the feature points of the first calibration point and the second calibration point by all the detection antennas are the same, if so, the calibration is completed; otherwise, the calibration point with a higher total score is selected and the adjustment module is started; The adjustment module adjusts the detection antenna according to the scores of the detection antenna on the calibration points with higher total scores, and starts the detection image acquisition module to work again.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the method according to any one of claims 1 to 7 is implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method according to any one of claims 1 to 7 is implemented.

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