Four-dimensional light imaging data source acquisition method and device

Abstract

The invention discloses a four-dimensional light imaging data source acquisition method and device. The method comprises the following steps: acquiring optical image data and operation parameter data: splitting the optical image data to obtain first image data and second image data; inputting the first image data and the second image data into an acquisition expectation model to generate acquisition target group data; and generating a target data source according to the collected target group data and the operation parameter data. The technical problems that in the prior art, when data source collection is carried out, data are collected, summarized and processed without difference only through data collection rules, targeted collection cannot be carried out on different image data collected by a monitoring or recognition system, and the collection efficiency and flexibility are reduced are solved.

Description

Technical Field

[0001] The present invention relates to the field of data acquisition and processing, and in particular to a method and device for acquiring a four-dimensional optical imaging data source. Background Art

[0002] With the continuous development of intelligent technology, people are using more and more intelligent devices in their lives, work and study. The use of intelligent technology has improved the quality of people's lives and increased the efficiency of their study and work.

[0003] At present, for the collection of optical imaging image data and working data, technical personnel in this field usually use preset data extraction rules and data extraction processes to collect and process the data obtained by the sensor system. However, when collecting data sources in the prior art, data collection rules are often used to collect, summarize and process data indiscriminately, and targeted collection cannot be performed on different image data collected by the monitoring or recognition system, which reduces the efficiency and flexibility of collection.

[0004] To address the above-mentioned problems, no effective solution has been proposed yet. Summary of the invention

[0005] The embodiments of the present invention provide a four-dimensional optical imaging data source acquisition method and device to at least solve the technical problem that in the prior art, when collecting data sources, data is often only collected, summarized and processed indiscriminately based on data collection rules, and different image data collected by the monitoring or identification system cannot be collected in a targeted manner, thereby reducing the efficiency and flexibility of collection.

[0006] According to one aspect of an embodiment of the present invention, a four-dimensional optical imaging data source acquisition method is provided, comprising: acquiring optical image data and operating parameter data; splitting the optical image data to obtain first image data and second image data; inputting the first image data and the second image data into an acquisition expectation model to generate acquisition target group data; and generating a target data source based on the acquisition target group data and the operating parameter data.

[0007] Optionally, the operating parameter data includes: imaging parameters and system parameters.

[0008] Optionally, the step of inputting the first image data and the second image data into an acquisition expectation model to generate acquisition target group data includes: aggregating and combining the first image data and the second image data to obtain an input array; and inputting the input array into the acquisition expectation model to obtain the acquisition target group data, wherein the acquisition expectation model includes:

[0009]

[0010] Among them, D1 to Dn are input arrays, and M1 to Mn are the target group data.

[0011] Optionally, generating a target data source according to the acquisition target group data and the operating parameter data includes: generating a parameter retrieval strategy according to acquisition target group data and preset acquisition rules for application scenarios; and retrieval the target data source of the corresponding parameter according to the parameter retrieval strategy.

[0012] According to another aspect of an embodiment of the present invention, a four-dimensional optical imaging data source acquisition device is also provided, including: an acquisition module, used to acquire optical image data and operating parameter data; a splitting module, used to split the optical image data to obtain first image data and second image data; an input module, used to input the first image data and the second image data into an acquisition expectation model to generate acquisition target group data; and a generation module, used to generate a target data source based on the acquisition target group data and the operating parameter data.

[0013] Optionally, the operating parameter data includes: imaging parameters and system parameters.

[0014] Optionally, the input module includes: a summarizing unit, used to summarize and combine the first image data and the second image data to obtain an input array; an input unit, used to input the input array into the acquisition expectation model to obtain the acquisition target group data, wherein the acquisition expectation model includes:

[0015]

[0016] Among them, D1 to Dn are input arrays, and M1 to Mn are the target group data.

[0017] Optionally, the generation module includes: a generation unit, used to generate a parameter calling strategy according to the collection target group data and preset collection rules for application scenarios; and a calling unit, used to call the target data source of the corresponding parameter according to the parameter calling strategy.

[0018] According to another aspect of an embodiment of the present invention, a non-volatile storage medium is provided, wherein the non-volatile storage medium includes a stored program, wherein when the program is executed, the device where the non-volatile storage medium is located is controlled to execute a four-dimensional optical imaging data source acquisition method.

[0019] According to another aspect of an embodiment of the present invention, there is also provided an electronic device, comprising a processor and a memory; the memory stores computer-readable instructions, and the processor is used to run the computer-readable instructions, wherein the computer-readable instructions execute a four-dimensional optical imaging data source acquisition method when running.

[0020] In an embodiment of the present invention, optical image data and operating parameter data are acquired; the optical image data are split and processed to obtain first image data and second image data; the first image data and the second image data are input into an acquisition expectation model to generate acquisition target group data; and a target data source is generated according to the acquisition target group data and the operating parameter data. This solves the technical problem that in the prior art, when performing data source acquisition, data is often only acquired, aggregated and processed indiscriminately based on data acquisition rules, and targeted acquisition cannot be performed for different image data acquired by a monitoring or identification system, thereby reducing the efficiency and flexibility of acquisition. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of this application. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:

[0022] Figure 1 is a flow chart of a method for collecting a four-dimensional optical imaging data source according to an embodiment of the present invention;

[0023] Figure 2 is a structural block diagram of a four-dimensional optical imaging data source acquisition device according to an embodiment of the present invention;

[0024] Figure 3 is a block diagram of a terminal device for executing a method according to an embodiment of the present invention;

[0025] Figure 4 It is a storage unit for holding or carrying a program code for implementing a method according to an embodiment of the present invention. DETAILED DESCRIPTION

[0026] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0027] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0028] According to an embodiment of the present invention, a method embodiment of a four-dimensional optical imaging data source acquisition method is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0029] Embodiment 1

[0030] Figure 1 is a flow chart of a method for collecting a four-dimensional optical imaging data source according to an embodiment of the present invention. Figure 1 As shown, the method comprises the following steps:

[0031] Step S102, acquiring optical image data and operating parameter data.

[0032] Step S104: split the optical image data to obtain first image data and second image data.

[0033] Step S106: input the first image data and the second image data into an acquisition expectation model to generate acquisition target group data.

[0034] Step S108: generating a target data source according to the collected target group data and the operating parameter data.

[0035] Optionally, the operating parameter data includes: imaging parameters and system parameters.

[0036] Optionally, the step of inputting the first image data and the second image data into an acquisition expectation model to generate acquisition target group data includes: aggregating and combining the first image data and the second image data to obtain an input array; and inputting the input array into the acquisition expectation model to obtain the acquisition target group data, wherein the acquisition expectation model includes:

[0037]

[0038] Among them, D1 to Dn are input arrays, and M1 to Mn are the target group data.

[0039] Optionally, generating a target data source according to the acquisition target group data and the operating parameter data includes: generating a parameter retrieval strategy according to acquisition target group data and preset acquisition rules for application scenarios; and retrieval the target data source of the corresponding parameter according to the parameter retrieval strategy.

[0040] The above embodiments solve the technical problem that, when collecting data sources in the prior art, data is often collected, aggregated and processed indiscriminately only based on data collection rules, and targeted collection cannot be performed on different image data collected by the monitoring or recognition system, thereby reducing the efficiency and flexibility of collection.

[0041] In some specific embodiments, the optical image data can be split and processed in the following manner, including feature extraction and image segmentation: first extract key features in the image, such as color, texture, shape, etc., and then segment the optical image data according to the extracted key features to obtain first image data and second image data.

[0042] In some specific embodiments, the first image data and the second image data may be combined by image stitching, including the following specific steps:

[0043] Image preprocessing: including adjusting image brightness, contrast, etc. to make the images to be stitched more consistent.

[0044] Feature extraction: Use feature point detection algorithms, such as SIFT (Scale Invariant Feature Transform) and SURF (Speeded Up Robust Features), to obtain important feature points in the images to be stitched.

[0045] Feature matching: Use feature descriptors, such as ORB (Oriented FAST and Rotated BRIEF), to describe feature points to achieve cross-image matching.

[0046] Geometric correction: By calculating the transformation matrix (such as affine transformation, perspective transformation), the images to be stitched are corrected to better align the feature points.

[0047] Image fusion: According to the stitching area and stitching algorithm, multiple stitching images are fused to achieve smooth transition.

[0048] It should be noted that image stitching may involve the following algorithms:

[0049] RANSAC (Random Sample Consensus): It is used to remove incorrectly matched point pairs, fit the geometric transformation matrix through iterative calculation, and improve the robustness of the algorithm through random sampling.

[0050] Laplacian Pyramid: A pyramid structure used for image fusion that decomposes the image into different size levels and concatenates them at each level to achieve a smooth transition.

[0051] Multi-view Geometry: Image stitching and 3D reconstruction are performed by calculating the internal and external parameters of the camera based on the image information obtained from different perspectives.

[0052] Deep learning algorithms: Deep learning algorithms such as convolutional neural networks (CNNs) have made many breakthroughs in image stitching, achieving more accurate image stitching effects by learning feature representations.

[0053] In some specific embodiments, the collection expectation model may be an EM expectation model, a regression prediction model or a hidden Markov model, etc. In addition, an LSTM model may be used as a modeling tool, combined with an EM algorithm to construct a collection expectation model to estimate the expected value of the data.

[0054] Embodiment 2

[0055] Figure 2 is a structural block diagram of a four-dimensional optical imaging data source acquisition device according to an embodiment of the present invention. Figure 2 As shown, the device comprises:

[0056] The acquisition module 20 is used to acquire optical image data and operating parameter data.

[0057] The splitting module 22 is used to split the optical image data to obtain first image data and second image data.

[0058] The input module 24 is used to input the first image data and the second image data into the acquisition expectation model to generate acquisition target group data.

[0059] The generating module 26 is used to generate a target data source according to the collected target group data and the operating parameter data.

[0060] Optionally, the operating parameter data includes: imaging parameters and system parameters.

[0061] Optionally, the input module includes: a summarizing unit, used to summarize and combine the first image data and the second image data to obtain an input array; an input unit, used to input the input array into the acquisition expectation model to obtain the acquisition target group data, wherein the acquisition expectation model includes:

[0062]

[0063] Among them, D1 to Dn are input arrays, and M1 to Mn are the target group data.

[0064] Optionally, the generation module includes: a generation unit, used to generate a parameter calling strategy according to the collection target group data and preset collection rules for application scenarios; and a calling unit, used to call the target data source of the corresponding parameter according to the parameter calling strategy.

[0065] The above embodiments solve the technical problem that, when collecting data sources in the prior art, data is often collected, aggregated and processed indiscriminately only based on data collection rules, and targeted collection cannot be performed on different image data collected by the monitoring or recognition system, thereby reducing the efficiency and flexibility of collection.

[0066] According to another aspect of an embodiment of the present invention, a non-volatile storage medium is provided, wherein the non-volatile storage medium includes a stored program, wherein when the program is executed, the device where the non-volatile storage medium is located is controlled to execute a four-dimensional optical imaging data source acquisition method.

[0067] Specifically, the above method includes: acquiring optical image data and operating parameter data; splitting the optical image data to obtain first image data and second image data; inputting the first image data and the second image data into an acquisition expectation model to generate acquisition target group data; generating a target data source according to the acquisition target group data and the operating parameter data. Optionally, the operating parameter data includes: imaging parameters and system parameters. Optionally, inputting the first image data and the second image data into the acquisition expectation model to generate the acquisition target group data includes: aggregating and splicing the first image data and the second image data to obtain an input array; inputting the input array into the acquisition expectation model to obtain the acquisition target group data, wherein the acquisition expectation model includes:

[0068]

[0069] Wherein, D1 to Dn are input arrays, and M1 to Mn are acquisition target group data. Optionally, generating a target data source according to the acquisition target group data and the operation parameter data includes: generating a parameter retrieval strategy according to the acquisition target group data and application scenario preset acquisition rules; and retrieval the target data source of the corresponding parameter according to the parameter retrieval strategy.

[0070] According to another aspect of an embodiment of the present invention, there is also provided an electronic device, comprising a processor and a memory; the memory stores computer-readable instructions, and the processor is used to run the computer-readable instructions, wherein the computer-readable instructions execute a four-dimensional optical imaging data source acquisition method when running.

[0071] Specifically, the above method includes: acquiring optical image data and operating parameter data; splitting the optical image data to obtain first image data and second image data; inputting the first image data and the second image data into an acquisition expectation model to generate acquisition target group data; generating a target data source according to the acquisition target group data and the operating parameter data. Optionally, the operating parameter data includes: imaging parameters and system parameters. Optionally, inputting the first image data and the second image data into the acquisition expectation model to generate the acquisition target group data includes: aggregating and splicing the first image data and the second image data to obtain an input array; inputting the input array into the acquisition expectation model to obtain the acquisition target group data, wherein the acquisition expectation model includes:

[0072]

[0073] Wherein, D1 to Dn are input arrays, and M1 to Mn are acquisition target group data. Optionally, generating a target data source according to the acquisition target group data and the operation parameter data includes: generating a parameter retrieval strategy according to the acquisition target group data and application scenario preset acquisition rules; and retrieval the target data source of the corresponding parameter according to the parameter retrieval strategy.

[0074] The serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages or disadvantages of the embodiments.

[0075] In the above embodiments of the present invention, 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.

[0076] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only schematic. For example, the division of the units can be a logical function division. There may be other division methods in actual implementation. For example, 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 interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0077] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0078] in addition, Figure 3 This is a schematic diagram of the hardware structure of a terminal device provided in one embodiment of the present application. Figure 3 As shown, the terminal device may include an input device 30, a processor 31, an output device 32, a memory 33 and at least one communication bus 34. The communication bus 34 is used to realize the communication connection between the components. The memory 33 may include a high-speed RAM memory, and may also include a non-volatile storage NVM, such as at least one disk memory. Various programs can be stored in the memory 33 to complete various processing functions and implement the method steps of this embodiment.

[0079] Optionally, the processor 31 may be implemented as a central processing unit (CPU), an application-specific integrated circuit (ASIC), a digital signal processor (DSP), a digital signal processing device (DSPD), a programmable logic device (PLD), a field programmable gate array (FPGA), a controller, a microcontroller, a microprocessor or other electronic components, and the processor 31 is coupled to the input device 30 and the output device 32 via a wired or wireless connection.

[0080] Optionally, the input device 30 may include multiple input devices, for example, it may include at least one of a user interface for users, a device interface for devices, a programmable interface for software, a camera, and a sensor. Optionally, the device interface for devices may be a wired interface for data transmission between devices, or a hardware insertion interface for data transmission between devices (such as a USB interface, a serial port, etc.); Optionally, the user interface for users may be, for example, a control button for users, a voice input device for receiving voice input, and a touch sensing device for users to receive user touch input (such as a touch screen with a touch sensing function, a touch pad, etc.); Optionally, the programmable interface for the software may be, for example, an entry for users to edit or modify programs, such as an input pin interface or an input interface of a chip; Optionally, the transceiver may be a radio frequency transceiver chip with communication function, a baseband processing chip, and a transceiver antenna, etc. Audio input devices such as microphones may receive voice data. The output device 32 may include output devices such as displays and speakers.

[0081] In this embodiment, the processor of the terminal device includes functions for executing each module of the data processing device in each device. The specific functions and technical effects can be referred to the above embodiments and will not be repeated here.

[0082] Figure 4 A schematic diagram of the hardware structure of a terminal device provided in another embodiment of the present application. Figure 4 Yes Figure 3 A specific embodiment in the implementation process. Figure 4 As shown, the terminal device of this embodiment includes a processor 41 and a memory 42.

[0083] The processor 41 executes the computer program code stored in the memory 42 to implement the method in the above embodiment.

[0084] The memory 42 is configured to store various types of data to support operations on the terminal device. Examples of such data include instructions for any application or method used to operate on the terminal device, such as messages, pictures, videos, etc. The memory 42 may include random access memory (RAM) and may also include non-volatile memory, such as at least one disk storage.

[0085] Optionally, the processor 41 is provided in the processing component 40. The terminal device may further include: a communication component 43, a power component 44, a multimedia component 45, an audio component 46, an input / output interface 47 and / or a sensor component 48. The specific components included in the terminal device are set according to actual needs, and this embodiment does not limit this.

[0086] The processing component 40 generally controls the overall operation of the terminal device. The processing component 40 may include one or more processors 41 to execute instructions to complete all or part of the steps of the above method. In addition, the processing component 40 may include one or more modules to facilitate the interaction between the processing component 40 and other components. For example, the processing component 40 may include a multimedia module to facilitate the interaction between the multimedia component 45 and the processing component 40.

[0087] The power supply component 44 provides power to various components of the terminal device. The power supply component 44 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power to the terminal device.

[0088] The multimedia component 45 includes a display screen that provides an output interface between the terminal device and the user. In some embodiments, the display screen may include a liquid crystal display (LCD) and a touch panel (TP). If the display screen includes a touch panel, the display screen may be implemented as a touch screen to receive input signals from the user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundaries of a touch or slide action, but also detect the duration and pressure associated with the touch or slide operation.

[0089] The audio component 46 is configured to output and / or input audio signals. For example, the audio component 46 includes a microphone (MIC), and when the terminal device is in an operating mode, such as a speech recognition mode, the microphone is configured to receive an external audio signal. The received audio signal can be further stored in the memory 42 or sent via the communication component 43. In some embodiments, the audio component 46 also includes a speaker for outputting audio signals.

[0090] The input / output interface 47 provides an interface between the processing component 40 and the peripheral interface modules, which may be click wheels, buttons, etc. These buttons may include but are not limited to: volume buttons, start buttons, and lock buttons.

[0091] The sensor assembly 48 includes one or more sensors for providing various aspects of status assessment for the terminal device. For example, the sensor assembly 48 can detect the open / closed state of the terminal device, the relative positioning of the components, and the presence or absence of contact between the user and the terminal device. The sensor assembly 48 may include a proximity sensor configured to detect the presence of nearby objects without any physical contact, including detecting the distance between the user and the terminal device. In some embodiments, the sensor assembly 48 may also include a camera, etc.

[0092] The communication component 43 is configured to facilitate wired or wireless communication between the terminal device and other devices. The terminal device can access a wireless network based on a communication standard, such as WiFi, 2G or 3G, or a combination thereof. In one embodiment, the terminal device may include a SIM card slot for inserting a SIM card, so that the terminal device can log in to the GPRS network and establish communication with the service end through the Internet.

[0093] From the above, we can see that Figure 4 The communication component 43, the audio component 46, the input / output interface 47, and the sensor component 48 involved in the embodiment can all be used as Figure 3 Implementation method of the input device in the embodiment.

[0094] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only schematic. For example, the division of the units can be a logical function division. There may be other division methods in actual implementation. For example, 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 interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0095] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0096] In addition, each functional unit in each embodiment 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 unit may be implemented in the form of hardware or in the form of software functional units.

[0097] 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 storage medium. 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 storage medium, 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 storage medium includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disk and other media that can store program codes.

[0098] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principle of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A method for collecting four-dimensional optical imaging data sources, characterized in that: include: Acquiring optical image data and operating parameter data; Splitting the optical image data to obtain first image data and second image data; Inputting the first image data and the second image data into an acquisition expectation model to generate acquisition target group data; A target data source is generated according to the collected target group data and the operating parameter data.

2. The method according to claim 1, characterized in that The operating parameter data include: imaging parameters and system parameters.

3. The method according to claim 1, characterized in that Inputting the first image data and the second image data into the acquisition expectation model to generate acquisition target group data includes: Aggregating and combining the first image data and the second image data to obtain an input array; The input array is input into the collection expectation model to obtain the collection target group data, wherein the collection expectation model includes: Among them, D1 to Dn are input arrays, and M1 to Mn are the target group data.

4. The method according to claim 1, characterized in that: The generating a target data source according to the collected target group data and the operating parameter data comprises: According to the collection target group data and application scenario preset collection rules, generate parameter calling strategy: The target data source of the corresponding parameter is retrieved according to the parameter retrieval strategy.

5. A four-dimensional optical imaging data source acquisition device, characterized in that: include: An acquisition module, used for acquiring optical image data and operating parameter data; A splitting module, used for splitting the optical image data to obtain first image data and second image data; An input module, used for inputting the first image data and the second image data into an acquisition expectation model to generate acquisition target group data; A generating module is used to generate a target data source according to the collected target group data and the operating parameter data.

6. The device according to claim 5, characterized in that The operating parameter data include: imaging parameters and system parameters.

7. The device according to claim 5, characterized in that The input module comprises: A summarizing unit, used for summarizing and combining the first image data and the second image data to obtain an input array; An input unit is used to input the input array into the collection expectation model to obtain the collection target group data, wherein the collection expectation model includes: Among them, D1 to Dn are input arrays, and M1 to Mn are the target group data.

8. The device according to claim 5, characterized in that The generation module comprises: A generating unit, configured to generate a parameter retrieving strategy according to the acquisition target group data and the preset acquisition rules of the application scenario; The calling unit is used to call the target data source of the corresponding parameter according to the parameter calling strategy.

9. A non-volatile storage medium, characterized in that: The non-volatile storage medium includes a stored program, wherein the program controls the device where the non-volatile storage medium is located to execute the method according to any one of claims 1 to 4 when the program is executed.

10. An electronic device, characterized in that: It comprises a processor and a memory; the memory stores computer-readable instructions, and the processor is used to execute the computer-readable instructions, wherein the computer-readable instructions execute the method described in any one of claims 1 to 4 when executed.

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