A target recognition method, device and electronic equipment

Abstract

This invention discloses a method, apparatus, and electronic device for target recognition. The method involves receiving a trigger command from a user terminal, the trigger command indicating that the user terminal is online and carrying a target number corresponding to the user terminal; determining the sector where the user terminal is located in response to the target number being in the number database of the radio frequency unit; acquiring a user facial image and / or user facial video within the sector at the current time, both the user facial image and the video including user facial information; saving the user facial image and / or the user facial video in response to the similarity between the user facial information and facial information in the radio frequency unit's image database being greater than or equal to a set value; and transmitting the user facial image and / or the user facial video. This method fully utilizes the computing power of the RU device to achieve target number detection and user facial recognition.

Description

Technical Field

[0001] This invention relates to the field of communication technology, and more specifically to a method, apparatus, and electronic device for target identification. Background Technology

[0002] With the development of communication technology, radio frequency unit (RU) devices are mainly used to transmit and receive signals in mobile communication, and are specifically used to provide end-to-end mobile communication network services for radio access network (RAN) and core network (CN). As the access point of the "last mile" in the communication process, the RU device is closest to the user side and is very numerous, spread in every corner.

[0003] In the prior art, the RU device has more and more functions, carries more and more types of services, and has stronger and stronger computing power. However, the services carried by the RU device are not necessarily processed concurrently. Therefore, the computing power of the RU device is idle most of the time.

[0004] In conclusion, how to fully utilize the computing power of RU devices is a problem that needs to be solved. Summary of the Invention

[0005] In view of this, embodiments of the present invention provide a target recognition method that can make full use of the computing power of RU devices.

[0006] In a first aspect, embodiments of the present invention provide a target identification method, the method comprising: receiving a trigger instruction sent by a user terminal, wherein the trigger instruction is used to instruct the user terminal to go online, and the trigger instruction carries a target number corresponding to the user terminal; in response to the target number being in the number database of a radio frequency unit, determining the sector where the user terminal is located; acquiring a user facial image and / or a user facial video in the sector at the current time, wherein the user facial image and the video both include user facial information; in response to the similarity between the user facial information and facial information in the image database of the radio frequency unit being greater than or equal to a set value, saving the user facial image and / or the user facial video; and sending the user facial image and / or the user facial video.

[0007] Optionally, the method further includes:

[0008] The position of the camera in the radio frequency unit is adjusted according to the range of the sector, so that the camera can rotate within the range of the sector.

[0009] Optionally, the method further includes:

[0010] Receive and save the number database.

[0011] Optionally, receiving and storing the number database specifically includes:

[0012] The number database is received via an open wireless access network interface;

[0013] Save the number database.

[0014] Optionally, the method further includes:

[0015] Update the number database.

[0016] Optionally, the method further includes:

[0017] Receive and save the image library.

[0018] Optionally, receiving and saving the image library specifically includes:

[0019] The image library is received via an open wireless access network interface;

[0020] Save the image library.

[0021] Optionally, the method further includes:

[0022] Update the image library.

[0023] Secondly, embodiments of the present invention provide a target recognition device, the device comprising:

[0024] A receiving unit is configured to receive a trigger instruction sent by a user terminal, wherein the trigger instruction is used to instruct the user terminal to go online, and the trigger instruction carries a target number corresponding to the user terminal;

[0025] The determining unit, in response to the target number being in the number database of the radio frequency unit, is used to determine the sector where the user terminal is located;

[0026] The acquisition unit is used to acquire a user facial image and / or a user facial video within the sector at the current time, wherein the user facial image and the video both include user facial information;

[0027] A storage unit, in response to the similarity between the user's facial information and the facial information in the radio frequency unit's image library being greater than or equal to a set value, is used to store the user's facial image and / or the user's facial video;

[0028] A sending unit is used to send the user's facial image and / or the user's facial video.

[0029] Optionally, the device may also include:

[0030] An adjustment unit is used to adjust the position of the camera of the radio frequency unit according to the range of the sector, so that the camera can rotate within the range of the sector.

[0031] Optionally, the receiving unit is further configured to:

[0032] Receive and save the number database.

[0033] Optionally, the receiving unit is specifically used to: receive the number database through an open wireless access network interface;

[0034] Save the number database.

[0035] Optionally, the device may also include:

[0036] An update unit is used to update the number database.

[0037] Optionally, the receiving unit is further configured to:

[0038] Receive and save the image library.

[0039] Optionally, the receiving unit is specifically used for:

[0040] The image library is received via an open wireless access network interface;

[0041] Save the image library.

[0042] Optionally, the update unit is further configured to:

[0043] Update the image library.

[0044] Thirdly, embodiments of the present invention provide a computer-readable storage medium having computer program instructions stored thereon, which, when executed by a processor, implement the method as described in the first aspect or any one of the possibilities of the first aspect.

[0045] Fourthly, embodiments of the present invention provide an electronic device, including a memory and a processor, the memory being used to store one or more computer program instructions, wherein the one or more computer program instructions are executed by the processor to implement the method as described in the first aspect or any one of the possible methods of the first aspect.

[0046] This invention embodiment receives a trigger command sent by a user terminal, wherein the trigger command instructs the user terminal to go online and carries a target number corresponding to the user terminal; in response to the target number being in the number database of the radio frequency unit, the sector where the user terminal is located is determined; a user facial image and / or user facial video within the sector at the current time is acquired, wherein both the user facial image and the video include user facial information; in response to the similarity between the user facial information and facial information in the image database of the radio frequency unit being greater than or equal to a set value, the user facial image and / or the user facial video is saved; and the user facial image and / or the user facial video is sent. Through the above method, the computing power of the RU device can be fully utilized to achieve target number detection and user facial recognition. Attached Figure Description

[0047] The above and other objects, features and advantages of the present invention will become clearer from the following description of embodiments of the invention with reference to the accompanying drawings, in which:

[0048] Figure 1 This is a schematic diagram illustrating the connection between a RU device and other network elements according to an embodiment of the present invention;

[0049] Figure 2 This is a flowchart of a target recognition method according to an embodiment of the present invention;

[0050] Figure 3 This is a schematic diagram of a sector structure of an RU device according to an embodiment of the present invention;

[0051] Figure 4 This is a flowchart of another target recognition method according to an embodiment of the present invention;

[0052] Figure 5 This is a schematic diagram of a camera and sector structure according to an embodiment of the present invention;

[0053] Figure 6 This is a flowchart of another target recognition method according to an embodiment of the present invention;

[0054] Figure 7 This is a flowchart of another target recognition method according to an embodiment of the present invention;

[0055] Figure 8 This is a schematic diagram illustrating the connection between a RU device and a specific industry private network according to an embodiment of the present invention;

[0056] Figure 9 This is a flowchart of a target recognition method according to an embodiment of the present invention;

[0057] Figure 10 This is a schematic diagram of a target recognition device according to an embodiment of the present invention;

[0058] Figure 11 This is a schematic diagram of an electronic device according to an embodiment of the present invention. Detailed Implementation

[0059] The present invention is described below based on embodiments, but the invention is not limited to these embodiments. In the detailed description of the invention below, certain specific details are described in detail. Those skilled in the art will fully understand the invention even without these details. To avoid obscuring the essence of the invention, well-known methods, processes, flows, elements, and circuits are not described in detail.

[0060] Furthermore, those skilled in the art should understand that the accompanying drawings provided herein are for illustrative purposes only and are not necessarily drawn to scale.

[0061] Unless the context explicitly requires it, words such as "including" or "contains" throughout the application should be interpreted as including rather than exclusive or exhaustive; that is, meaning "including but not limited to".

[0062] In the description disclosed in this invention, it should be understood that the terms "first," "second," etc., are used for descriptive purposes only and should not be construed as indicating or implying relative importance. Furthermore, in the description disclosed in this invention, unless otherwise stated, "a plurality of" means two or more.

[0063] The processing and collection of personal information involved in the schemes described in this specification and embodiments will be carried out under the premise of having a legal basis (such as obtaining the consent of the personal information subject or relevant departments, or being necessary for the performance of a contract, etc.), and will only be processed within the scope of regulations or agreements, such as public safety scenarios authorized by law (such as for missing persons investigations and requests for assistance, etc.).

[0064] In existing technologies, RU devices are becoming increasingly functional, carrying a wider variety of services, and possessing increasingly powerful computing capabilities. However, not all services carried by RU devices are processed concurrently; therefore, the computing power of RU devices is idle most of the time. Furthermore, with the emergence of the Open Radio Access Network (ORAN) protocol, RU devices have moved from being closed to being open, allowing other network elements (e.g., industry-specific private networks) to access and manage services. As the "last mile" access point in communication, RU devices are closest to the user side and are numerous and ubiquitous. Therefore, how to fully utilize the computing power of RU devices is a problem that needs to be solved.

[0065] In this embodiment of the invention, in order to fully utilize the computing power of the RU device, the RU device is connected to other network elements through the Open Radio Access Network (ORAN) interface, for example, Figure 1 As shown, RU device 101 is connected to other network elements 102 through the ORAN interface. Since there are a large number of RU devices, they can achieve large-scale monitoring and can be used for personnel search, missing persons investigation, and assistance requests. This is only an illustrative example, and the specific application scope can be determined according to the actual situation. This embodiment of the invention does not limit it.

[0066] In this embodiment of the invention, Figure 2 This is a flowchart of a target recognition method according to an embodiment of the present invention. Figure 2 As shown, the specific steps include the following:

[0067] Step S200: Receive a trigger instruction sent by a user terminal, wherein the trigger instruction is used to instruct the user terminal to go online, and the trigger instruction carries the target number corresponding to the user terminal.

[0068] Specifically, when the RU device receives a trigger command sent by the user terminal, that is, after the user terminal comes online in a certain sector of the RU device, it will send a trigger command to the RU device, and the trigger command carries the target number corresponding to the user terminal.

[0069] In one possible implementation, assume the RU device comprises three sectors, such as... Figure 3 As shown, the RU device includes sector 1, sector 2 and sector 3. When a user terminal goes online in sector 1, it sends a trigger command to the RU device, and the trigger command carries the target number corresponding to the user terminal, for example, the target number is 123456.

[0070] Step S201: In response to the target number being in the number database of the radio frequency unit, determine the sector where the user terminal is located.

[0071] Specifically, the RU device pre-stores a number database, which can also be called a blacklist number database or a key number database. The number database can contain people's phone numbers, the phone watch numbers of lost children, or other communication numbers with positioning devices. This embodiment of the invention does not limit the database.

[0072] In one possible implementation, when it is determined that the target number is in the number database of the radio frequency unit, indicating that the target number is the telephone number to be searched, the sector where the user terminal corresponding to the target number is located can be determined simultaneously with determining that the target number is in the number database of the RU device. For example, if the number database includes numbers such as 123451, 123452, 123453, 123454, 123455, 123456, and 123457, and the target number 123456 is detected to be in the number database, then it is determined that the user terminal corresponding to the target number 123456 is in sector 1.

[0073] Step S202: Obtain the user's facial image and / or user's facial video within the sector at the current time, wherein the user's facial image and the video both include user facial information.

[0074] Specifically, the RU device acquires user facial images and / or user facial videos within the sector at the current moment through a camera. For example, when a user terminal is detected in sector 1, the camera acquires user facial information within sector 1 at the current moment. Specifically, after the camera captures a face, it can control the camera to zoom and take close-up shots of the face. The close-up shots of the face are the user facial information, which can be recorded in the form of video or images.

[0075] Step S203: In response to the similarity between the user's facial information and the facial information in the radio frequency unit image library being greater than or equal to a set value, save the user's facial image and / or the user's facial video.

[0076] In one possible implementation, since multiple people may exist within the coverage area of ​​a certain sector of the RU device, and the user facial information of multiple people is captured, but not all of these multiple people are important target people, it is necessary to compare the acquired user facial information with the facial information in the radio frequency unit image library. When the similarity is greater than or equal to a set value, it indicates that they may be target people who need attention. At this time, the user facial image and / or the user facial video are saved.

[0077] Step S204: Send the user's facial image and / or the user's facial video.

[0078] Specifically, the RU device sends the saved user facial image and / or user facial video to other network elements linked to the RU device. For example, the RU device sends the saved user facial image and / or user facial video to a specific industry private network for staff to reconfirm.

[0079] In one possible implementation, if the staff member is identified as the target person, the staff member can be dispatched to the sector corresponding to the RU device to search for or apprehend the target person, which improves the efficiency of event handling and avoids the consumption of human resources.

[0080] In this embodiment of the invention, other steps are included before step S202. Figure 4 This is a flowchart of a target recognition method according to an embodiment of the present invention. Figure 4 As shown, the specific steps include the following:

[0081] Step S205: Adjust the position of the camera in the radio frequency unit according to the range of the sector, so that the camera can rotate within the range of the sector.

[0082] In one possible implementation, the camera can be a PTZ camera or a pan-tilt-zoom (PTZ) device that can rotate 360 ​​degrees; any rotating camera device will suffice. For example, a PTZ camera... Figure 5 As shown, assuming the user terminal is in sector 1, the PTZ camera is rotated so that its shooting range is sector 1.

[0083] In this embodiment of the invention, other steps are included before step S200. Figure 6 This is a flowchart of a target recognition method according to an embodiment of the present invention. Figure 6 As shown, the specific steps include the following:

[0084] Step S206: Receive the number database through the open wireless access network interface.

[0085] Specifically, the RU device receives the number database through an open wireless access network interface.

[0086] In one possible implementation, the RU device receives the number database sent by other network elements (e.g., a specific industry private network) through an open wireless access network interface, and can resend the number database at set intervals to update the number database.

[0087] Step S207: Save the number database.

[0088] Specifically, the RU device stores the number database.

[0089] In this embodiment of the invention, other steps are included before step S200. Figure 7 This is a flowchart of a target recognition method according to an embodiment of the present invention. Figure 7 As shown, the specific steps include the following:

[0090] Step S208: Receive the image library through the open wireless access network interface.

[0091] Specifically, the RU device receives the image library through an open wireless access network interface.

[0092] In one possible implementation, the RU device receives the image library sent by other network elements (e.g., a specific industry private network) through an open wireless access network interface, and can resend the image library at set intervals to update the image library.

[0093] Step S209: Save the image library.

[0094] Specifically, the RU device stores the image library.

[0095] The following detailed description illustrates the connection between the RU device and the specific industry private network through a concrete embodiment. Figure 8 This is a schematic diagram of the structure of the RU device and the specific industry private network. Figure 8 This includes an RU device 801 and a specific industry private network 802. The RU device 801 includes an ORAN interface, a number database (also known as a blacklist number database), a number detection module, an image database (also known as a blacklist face database), and a face scanning comparison module. The number detection module compares a target number with numbers in the number database, and the face scanning comparison module compares the user's facial image and / or user's facial video within the current sector with the user's facial information in the image database. Figure 8 The RU device also includes a camera that can rotate to capture images or videos, for example, within sector 1.

[0096] The specific industry private network 802 includes an ORAN interface for data interaction with the ORAN interface of the RU device 801.

[0097] In the Figure 8 Based on the existing structure, the interaction flowchart between the RU device and the specific industry private network is as follows: Figure 9 As shown, Figure 9 This is a flowchart of a target recognition method according to an embodiment of the present invention, which specifically includes the following steps:

[0098] Step S900: The specific industry private network sends the number database and image database to the RU device through the ORAN interface.

[0099] Step S901: The RU device receives and saves the number database and the image database through the ORAN interface.

[0100] Step S902: The RU device receives a trigger instruction sent by the user terminal, wherein the trigger instruction is used to instruct the user terminal to go online, and the trigger instruction carries the target number corresponding to the user terminal.

[0101] Step S903: The number detection module of the RU device detects the number in the number database. When the target number is in the number database of the radio frequency unit, the sector where the user terminal is located is determined.

[0102] Step S904: The RU device adjusts the position of the camera of the radio frequency unit according to the range of the sector, so that the camera can rotate within the range of the sector.

[0103] Step S905: The RU device acquires a user facial image and / or user facial video within the sector at the current time, wherein the user facial image and the video both include user facial information.

[0104] Step S906: The face scanning and comparison module of the RU device detects in the image library. When the similarity between the user's facial information and the facial information in the radio frequency unit image library is greater than or equal to a set value, the user's facial image and / or the user's facial video are saved.

[0105] Step S907: The RU device sends the user's facial image and / or the user's facial video through the ORAN interface.

[0106] Step S908: The specific industry private network receives the user's facial image and / or the user's facial video through the ORAN interface.

[0107] Figure 10 This is a schematic diagram of a target recognition device according to an embodiment of the present invention. Figure 10 As shown, the device in this embodiment includes a receiving unit 1001, a determining unit 1002, an acquiring unit 1003, a storing unit 1004, and a sending unit 1005.

[0108] The receiving unit 1001 is configured to receive a trigger instruction sent by a user terminal, wherein the trigger instruction is used to instruct the user terminal to go online, and the trigger instruction carries a target number corresponding to the user terminal; the determining unit 1002, in response to the target number being in the number database of the radio frequency unit, is configured to determine the sector where the user terminal is located; the acquiring unit 1003 is configured to acquire a user facial image and / or user facial video in the sector at the current time, wherein both the user facial image and the video include user facial information; the saving unit 1004, in response to the similarity between the user facial information and the facial information in the image database of the radio frequency unit being greater than or equal to a set value, is configured to save the user facial image and / or the user facial video; and the sending unit 1005 is configured to send the user facial image and / or the user facial video.

[0109] Furthermore, the device also includes:

[0110] An adjustment unit is used to adjust the position of the camera of the radio frequency unit according to the range of the sector, so that the camera can rotate within the range of the sector.

[0111] Furthermore, the receiving unit is also used for:

[0112] Receive and save the number database.

[0113] Furthermore, the receiving unit is specifically configured to: receive the number database through an open wireless access network interface;

[0114] Save the number database.

[0115] Furthermore, the device also includes:

[0116] An update unit is used to update the number database.

[0117] Furthermore, the receiving unit is also used for:

[0118] Receive and save the image library.

[0119] Furthermore, the receiving unit is specifically used for:

[0120] The image library is received via an open wireless access network interface;

[0121] Save the image library.

[0122] Furthermore, the updating unit is also used for:

[0123] Update the image library.

[0124] Figure 11 This is a schematic diagram of an electronic device according to an embodiment of the present invention. (For example...) Figure 11 As shown, Figure 11 The illustrated electronic device is a target recognition device, comprising a general computer hardware architecture, including at least a processor 1101 and a memory 1102. The processor 1101 and memory 1102 are connected via a bus 1103. The memory 1102 is adapted to store instructions or programs executable by the processor 1101. The processor 1101 can be a standalone microprocessor or a collection of one or more microprocessors. Thus, the processor 1101 executes the instructions stored in the memory 1102, thereby performing the method flow of the embodiments of the present invention as described above to process data and control other devices. The bus 1103 connects the aforementioned components together, and also connects these components to a display controller 1104, a display device, and an input / output (I / O) device 1105. The input / output (I / O) device 1105 can be a mouse, keyboard, modem, network interface, touch input device, motion-sensing input device, printer, and other devices known in the art. Typically, the input / output device 1105 is connected to the system via an input / output (I / O) controller 1106.

[0125] The instructions stored in memory 1102 are executed by at least one processor 1101 to achieve the following: receiving a trigger instruction sent by a user terminal, wherein the trigger instruction is used to instruct the user terminal to go online, and the trigger instruction carries a target number corresponding to the user terminal; determining the sector where the user terminal is located in response to the target number being in the number library of the radio frequency unit; acquiring a user facial image and / or user facial video in the sector at the current time, wherein both the user facial image and the video include user facial information; saving the user facial image and / or the user facial video in response to the similarity between the user facial information and the facial information in the image library of the radio frequency unit being greater than or equal to a set value; and sending the user facial image and / or the user facial video.

[0126] Specifically, the electronic device includes: one or more processors 1101 and a memory 1102. Figure 11 Take processor 1101 as an example. Processor 1101 and memory 1102 can be connected via a bus or other means. Figure 11 Taking a bus connection as an example, memory 1102, as a non-volatile computer-readable storage medium, can be used to store non-volatile software programs, non-volatile computer-executable programs, and modules. Processor 1101 executes various functional applications and data processing of the device by running the non-volatile software programs, instructions, and modules stored in memory 1102, thereby realizing the aforementioned target recognition method.

[0127] Memory 1102 may include a program storage area and a data storage area, wherein the program storage area may store the operating system and applications required for at least one function; the data storage area may store an option list, etc. Furthermore, memory 1102 may include high-speed random access memory and may also include non-volatile memory, such as at least one disk storage device, flash memory device, or other non-volatile solid-state storage device. In some embodiments, memory 1102 may optionally include memory remotely located relative to processor 1101, and these remote memories may be connected to external devices via a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.

[0128] One or more modules are stored in memory 1102 and, when executed by one or more processors 1101, perform the target recognition method in any of the above method embodiments.

[0129] The above-mentioned products can perform the methods provided in the embodiments of this application, and have the corresponding functional modules and beneficial effects of performing the methods. For technical details not described in detail in this embodiment, please refer to the methods provided in the embodiments of this application.

[0130] Embodiments of the present invention relate to a non-volatile storage medium for storing a computer-readable program, the computer-readable program being used by a computer to execute some or all of the above-described method embodiments.

[0131] That is, those skilled in the art will understand that all or part of the steps in the methods of the above embodiments can be implemented by a program instructing related hardware. This program is stored in a storage medium and includes several instructions to cause a device (which may be a microcontroller, chip, etc.) or processor to execute all or part of the steps of the methods described in the embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as a USB flash drive, a portable hard drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[0132] Those skilled in the art will understand that the above embodiments are specific embodiments for implementing the present invention, and in practical applications, various changes in form and detail may be made without departing from the spirit and scope of the present invention.

Claims

1. A target identification method, applied to a radio frequency unit (RU) device, characterized in that, The method includes: A trigger instruction sent by a user terminal is received, wherein the trigger instruction is used to instruct the user terminal to go online, and the trigger instruction carries the target number corresponding to the user terminal; In response to the target number being in the number database of the radio frequency unit, the sector where the user terminal is located is determined. The number database is either a blacklist number database or a key number database. The blacklist number database includes the numbers of people to be searched, and the key number database includes the numbers of missing or missing persons or persons requesting assistance. The radio frequency unit includes multiple sectors. Acquire user facial images and / or user facial videos within the sector at the current time, wherein both the user facial images and the videos include user facial information; In response to a set value being greater than or equal to the similarity between the user's facial information and the facial information in the radio frequency unit image library, the user's facial image and / or the user's facial video are saved. Send the user's facial image and / or the user's facial video to a specific industry-specific private network so that the relevant staff can reconfirm and dispatch staff to carry out the search or capture. The method also includes: The position of the camera in the radio frequency unit is adjusted according to the range of the sector, so that the camera can rotate within the range of the sector.

2. The method as described in claim 1, characterized in that, The method also includes: Receive and save the number database.

3. The method as described in claim 2, characterized in that, The process of receiving and storing the number database specifically includes: The number database is received via an open wireless access network interface; Save the number database.

4. The method as described in claim 1, characterized in that, The method also includes: Update the number database.

5. The method as described in claim 1, characterized in that, The method also includes: Receive and save the image library.

6. The method as described in claim 5, characterized in that, The process of receiving and saving the image library specifically includes: The image library is received via an open wireless access network interface; Save the image library.

7. The method as described in claim 1, characterized in that, The method also includes: Update the image library.

8. A target identification device, applied to a radio frequency unit (RU) device, characterized in that, The device includes: A receiving unit is configured to receive a trigger instruction sent by a user terminal, wherein the trigger instruction is used to instruct the user terminal to go online, and the trigger instruction carries a target number corresponding to the user terminal; The determining unit, in response to the target number being in the number database of the radio frequency unit, is used to determine the sector where the user terminal is located. The number database is a blacklist number database or a key number database. The blacklist number database includes the numbers of people to be searched, and the key number database includes the numbers of missing or missing persons or persons requesting assistance. The radio frequency unit includes multiple sectors. The acquisition unit is used to acquire a user facial image and / or a user facial video within the sector at the current time, wherein the user facial image and the video both include user facial information; A storage unit, in response to the similarity between the user's facial information and the facial information in the radio frequency unit's image library being greater than or equal to a set value, is used to store the user's facial image and / or the user's facial video; The sending unit is used to send the user's facial image and / or the user's facial video to a specific industry private network so that the corresponding staff can reconfirm and dispatch staff to carry out the search or retrieval. The device further includes: An adjustment unit is used to adjust the position of the camera of the radio frequency unit according to the range of the sector, so that the camera can rotate within the range of the sector.

9. A computer-readable storage medium storing computer program instructions thereon, characterized in that, The computer program instructions, when executed by a processor, implement the method as described in any one of claims 1-7.

10. An electronic device comprising a memory and a processor, characterized in that, The memory is used to store one or more computer program instructions, wherein the one or more computer program instructions are executed by the processor to implement the method as described in any one of claims 1-7.

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