A method and device for collecting TGS data of a radioactive waste barrel

Abstract

The application provides a radioactive waste barrel TGS data acquisition method and device, and relates to the field of high-resolution spectral detectors, and comprises the following steps: acquiring a pre-acquisition count rate continuously acquired by a detector, and resolving the pre-acquisition count rate to determine a pre-acquisition transmission count rate and a pre-acquisition emission count rate, wherein the pre-acquisition transmission count rate and the pre-acquisition emission count rate are collected simultaneously; adjusting a filter sheet in front of a transmission source and the detector according to the pre-acquisition transmission count rate and the pre-acquisition emission count rate; and determining a detection time of the detector after the filter sheet is adjusted. The application dynamically adjusts the number of filter sheets in front of the transmission source and the detector, guarantees the image reconstruction quality in the simultaneous collection of transmission and emission data, dynamically adjusts the detection time of the detector after the number of filter sheets is adjusted, guarantees the accuracy of system detection, improves the efficiency of TGS data acquisition, and avoids wasting more time on most data with good data quality.

Description

Technical Field

[0001] This application relates to the field of high-resolution energy spectrum detectors, and in particular to a method and apparatus for acquiring TGS data from radioactive waste bins. Background Technology

[0002] With the increasingly widespread application of nuclear technology in various fields, facilities such as nuclear power plants generate a large amount of low- and intermediate-level radioactive waste. This waste is processed into waste containers awaiting final disposal. Before final disposal, it is necessary to measure the surface dose, identify the types of radionuclides within the containers, and measure the activity of the radionuclides.

[0003] In current TGS systems, the mechanical movements of the detector's stepping and the barrel's rotation are generally time-consuming, and the data acquisition is serial, making a complete TGS data acquisition cycle lengthy. Furthermore, the TGS system's detector data acquisition process typically consists of two phases: transmission measurement and passive emission measurement. During transmission measurement, an external transmission source needs to be activated, and the detector measures gamma rays emitted by the transmission source and the radionuclide inside the barrel. During emission measurement, the external transmission source needs to be deactivated, and the detector only measures gamma rays emitted by the radionuclide inside the barrel. In other words, to obtain both transmission and emission data from a TGS system, two complete data acquisition cycles are required, significantly increasing the data acquisition time. Summary of the Invention

[0004] To address the above issues, a method and apparatus for acquiring TGS data from radioactive waste containers are proposed.

[0005] The first aspect of this application proposes a method for acquiring TGS data from radioactive waste bins, including:

[0006] The pre-acquisition count rate continuously acquired by the detector is obtained, and the pre-acquisition count rate is analyzed to determine the pre-acquisition transmission count rate and the pre-acquisition emission count rate, wherein the pre-acquisition transmission count rate and the pre-acquisition emission count rate are acquired simultaneously.

[0007] Adjust the filter in front of the transmission source and the detector according to the pre-acquired transmission count rate and the pre-acquired emission count rate;

[0008] After adjusting the filter, the detection time of the detector is determined.

[0009] Optionally, before obtaining the pre-collection count rate continuously acquired by the detector, the following steps are included:

[0010] A predetermined number of filters are placed in front of the detector so that the pre-collection count rate does not exceed the upper limit of the detector's count rate.

[0011] Optionally, adjusting the filter in front of the transmission source and detector based on the pre-acquired transmission count rate and the pre-acquired emission count rate includes:

[0012] Based on Beer's Law, the theoretically calculated transmission count rate and the theoretically calculated emission count rate collected by the detector without a filter are determined. The formula of Beer's Law is as follows:

[0013] I(E)=I0() -μ(E)l =a()0()

[0014] Where I(E) is the number of gamma photons with energy E after passing through the filter, I0() is the number of gamma photons with energy E before passing through the filter, μ(E) is the linear attenuation coefficient of the filter material for gamma photons with energy E, l is the thickness of the filter, and a(E) is the attenuation ratio coefficient of gamma photons with energy E calculated and determined after determining the filter material and the filter thickness.

[0015] Based on the theoretically calculated transmission count rate and emission count rate, adjust the filter in front of the transmission source and detector.

[0016] Optionally, adjusting the filter in front of the transmission source and detector based on the theoretically calculated transmission count rate and the theoretically calculated emission count rate includes:

[0017] If the theoretically calculated emission count rate is lower than the preset theoretical count rate of the detector when there is no filter, remove the filter in front of the detector and adjust the number of filter pages in front of the transmission source so that the pre-collected count rate is close to the upper limit of the detector count rate.

[0018] If the theoretically calculated emission count rate is higher than the preset theoretical count rate of the detector when there is no filter, and the theoretically calculated emission count rate is lower than the theoretically calculated transmission count rate, adjust the number of filter pages in front of the detector so that the pre-collected emission count rate does not exceed the preset theoretical count rate of the detector, and adjust the number of filter pages in front of the transmission source so that the pre-collected count rate is close to the upper limit of the detector count rate.

[0019] If the theoretically calculated emission count rate is higher than the preset theoretical count rate of the detector when there is no filter, and the theoretically calculated emission count rate is higher than the theoretically calculated transmission count rate, adjust the number of filter pages in front of the detector so that the pre-collected count rate is close to the upper limit of the detector count rate.

[0020] Optionally, determining the detector's detection time after adjusting the filter includes:

[0021] Obtain the total detector count within a preset time period, and determine the collection count rate based on the preset time period and the total count.

[0022] The detection time of the detector is dynamically adjusted according to the acquisition count rate.

[0023] Optionally, before dynamically adjusting the detection time of the detector, the method further includes:

[0024] Set an upper limit for the detection time.

[0025] Optionally, the method further includes:

[0026] The acquisition count limit of the detector is determined based on the acquisition count rate and the detection time.

[0027] The second aspect of this application discloses a radioactive waste bin TGS data acquisition device, comprising: a waste bin;

[0028] A transmission module, comprising a projection source, a projection source collimator, and a projection source filter, wherein the projection source filter is aligned with the waste bin;

[0029] The detection module includes a detector, a detector collimator, and a detector filter, the detector filter being aligned with the waste bin.

[0030] In a third aspect, this application provides a computer device including 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, it implements any of the methods described in the first aspect above.

[0031] In a fourth aspect of this application, a non-transitory computer-readable storage medium is provided, on which a computer program is stored, which, when executed by a processor, implements the method described in any of the first aspects above.

[0032] The technical solutions provided by the embodiments of this disclosure have at least the following beneficial effects:

[0033] By dynamically adding multiple filter pages in front of the transmission source and detector, the number of filter pages can be dynamically adjusted to adjust the transmission and emission count rates in the acquired data. This balances the data as much as possible within the limits of the detector count rate, ensuring the quality of the transmission attenuation coefficient or density map and the emission map of radionuclides in the barrel while acquiring transmission and emission data together. Furthermore, the use of a single detector reduces costs.

[0034] In addition, the total count rate of the detector under the current state is estimated, and the detection time required by the detector at each position is dynamically adjusted according to the allocation scheme of the total detection time and data acquisition time of a single layer. This ensures that, with a fixed total detection time for a single layer, the statistical error of the data collected at each position is minimized to the greatest extent possible, thus ensuring the accuracy of the system detection.

[0035] Additional aspects and advantages of this application will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of this application. Attached Figure Description

[0036] The above and / or additional aspects and advantages of this application will become apparent and readily understood from the following description of the embodiments taken in conjunction with the accompanying drawings, wherein:

[0037] Figure 1 This is a flowchart illustrating a method for acquiring TGS data from a radioactive waste container according to an exemplary embodiment of this application;

[0038] Figure 2 This is a flowchart illustrating a method for acquiring TGS data from a radioactive waste container according to an exemplary embodiment of this application;

[0039] Figure 3 This is a schematic diagram illustrating a TGS data acquisition method for a radioactive waste bin according to an exemplary embodiment of this application;

[0040] Figure 4 This is a schematic diagram of a TGS data acquisition device for a radioactive waste bin according to an exemplary embodiment of this application;

[0041] Figure 5 It is a block diagram of an electronic device. Detailed Implementation

[0042] The embodiments of this application are described in detail below. Examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain this application, and should not be construed as limiting this application.

[0043] Figure 1 This is a flowchart illustrating a TGS data acquisition method for a radioactive waste bin according to an exemplary embodiment of this application, such as... Figure 1 As shown:

[0044] Step 101: Obtain the pre-acquisition count rate continuously acquired by the detector, interpret the pre-acquisition count rate, and determine the pre-acquisition transmission count rate and the pre-acquisition emission count rate, wherein the pre-acquisition transmission count rate and the pre-acquisition emission count rate are acquired simultaneously.

[0045] In this embodiment of the application, before obtaining the pre-collection count rate continuously collected by the detector, a preset number of filter sheets are placed in front of the detector so that the pre-collection count rate does not exceed the upper limit of the detector count rate.

[0046] The pre-acquisition count rate collected by the detector needs to be despectrated before the pre-acquisition transmission count rate and pre-acquisition emission count rate can be determined. Throughout the acquisition process, the detector works continuously and simultaneously collects data including the pre-acquisition transmission count rate and the pre-acquisition emission count rate.

[0047] The upper limit of the detector count rate is related to the detector model.

[0048] Step 102: Adjust the filter in front of the transmission source and the detector according to the pre-acquisition transmission count rate and the pre-acquisition emission count rate.

[0049] In this embodiment, the theoretically calculated transmission count rate and theoretically calculated emission count rate of the detector without a filter are first estimated and calculated using the determined pre-acquisition transmission count rate and pre-acquisition emission count rate, combined with Beer's Law. The calculation steps are as follows:

[0050] Since both the transmission source and the radioactive nuclide inside the barrel emit monoenergetic gamma photons, and the material and thickness of the multi-layered filter are known conditions, the change in the number of gamma photons passing through the filter satisfies Beer's Law.

[0051] I(E)=I0(E)e -μ(E)l =a(E)I0(E)

[0052] Where I(E) is the number of gamma photons with energy E after passing through the filter, I0(E) is the number of gamma photons with energy E before passing through the filter, μ(E) is the linear attenuation coefficient of the filter material for gamma photons with energy E, such as the linear attenuation coefficient of lead at energy 1332 keV, l is the thickness of the filter, and a(E) is the attenuation ratio coefficient of gamma photons with energy E that can be calculated and determined after determining the filter material and the filter thickness.

[0053] In one possible embodiment, the filter material is lead.

[0054] After calculating the theoretical transmission count rate and the theoretical emission count rate, the filter in front of the transmission source and the detector can be adjusted according to the relationship between these two rates and the detector's upper limit, where:

[0055] If the theoretically calculated emission count rate is lower than the detector's preset theoretical count rate when there is no filter, remove the filter in front of the detector and adjust the number of filter pages in front of the transmission source so that the pre-collected count rate is close to the detector's upper limit of count rate.

[0056] If the theoretically calculated emission count rate is higher than the detector's preset theoretical count rate when there is no filter, and the theoretically calculated emission count rate is lower than the theoretically calculated transmission count rate, adjust the number of filter pages in front of the detector so that the pre-acquired emission count rate does not exceed the detector's preset theoretical count rate, and adjust the number of filter pages in front of the transmission source so that the pre-acquired count rate is close to the detector's upper limit of count rate.

[0057] If the theoretically calculated emission count rate is higher than the detector's preset theoretical count rate when there is no filter, and the theoretically calculated emission count rate is higher than the theoretically calculated transmission count rate, adjust the number of filter pages in front of the detector so that the pre-collected count rate is close to the detector's upper limit of count rate.

[0058] In this embodiment, the preset theoretical count rate is determined based on the actual situation.

[0059] In one possible embodiment, the preset theoretical count rate is half of the upper limit of the detector count rate.

[0060] Step 103: After adjusting the filter, determine the detector's detection time.

[0061] In this embodiment of the application, after adjusting the filter and balancing the count of data collected by the TGS system detector, the detection time of the detector can be dynamically adjusted according to the current collection count rate.

[0062] like Figure 2 As shown, step 103 also includes:

[0063] Step 201: Obtain the total detector count within a preset time period, and determine the collection count rate based on the preset time and the total count.

[0064] In one possible embodiment, the count collected by the detector within the first second is selected as the total count of the detector.

[0065] Step 202: Dynamically adjust the detector's detection time based on the acquisition count rate.

[0066] Before adjusting the detector's detection time, the following also applies:

[0067] Set an upper limit for the detection time, which is set based on the total detection time and the physical laws of ray attenuation to prevent the detection time from being too long in some locations due to an insufficient detection count rate.

[0068] One possible implementation example uses physical laws derived from Beer's Law, which follows an exponential time law:

[0069] t(x,y)=ae bl ,

[0070] Where a and b are adjustable coefficients, and l is the thickness of the ray passing through the waste bin when data is collected at the current detector position (x,y).

[0071] In one possible embodiment, the physical law is a quadratic function time law that exhibits good empirical performance:

[0072] t(x,y)=al 2 ,

[0073] Where a is an adjustable coefficient, and l is the thickness of the ray passing through the waste bin when data is collected at the current detector position (x,y).

[0074] Among them, physical laws include, but are not limited to, exponential time laws derived from Beer's Law and quadratic function time laws that have shown good empirical performance.

[0075] In this embodiment of the application, the acquisition count limit of the detector can also be determined based on the acquisition count rate and the detection time.

[0076] like Figure 3 As shown, after reaching the counting limit, the detector automatically stops data acquisition and moves to the next detection position to acquire data, thereby ensuring the detection efficiency of the TGS system while guaranteeing data quality and accelerating the detection process.

[0077] In this embodiment, by dynamically adding multiple filter sheets in front of the transmission source and detector respectively, the number of filter sheets is dynamically adjusted to adjust the transmission and emission count rates in the obtained data, so as to achieve a balance as much as possible within the limits of the detector count rate. This ensures that while the transmission and emission data are collected together, the quality of the transmission attenuation coefficient or density map and the emission map of the radionuclide in the barrel is guaranteed to the greatest extent. Furthermore, the use of a single detector reduces costs.

[0078] In addition, the total count rate of the detector under the current state is estimated, and the detection time required by the detector at each position is dynamically adjusted according to the allocation scheme of the total detection time and data acquisition time of a single layer. This ensures that, with a fixed total detection time for a single layer, the statistical error of the data collected at each position is minimized to the greatest extent possible, thus ensuring the accuracy of the system detection.

[0079] Figure 4 This is a schematic diagram of a TGS data acquisition device for a radioactive waste bin according to an exemplary embodiment of this application, comprising:

[0080] Waste bin;

[0081] The transmission module includes a projection source, a projection source collimator, and a projection source filter, with the projection source filter aligned with the waste bin.

[0082] The detection module includes a detector, a detector collimator, and a detector filter, with the detector filter aligned with the waste bin.

[0083] Regarding the apparatus in the above embodiments, the specific manner in which each module performs its operation has been described in detail in the embodiments related to the method, and will not be elaborated upon here.

[0084] Figure 5 A schematic block diagram of an example electronic device 300 that can be used to implement embodiments of the present disclosure is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device may also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the present disclosure described and / or claimed herein.

[0085] like Figure 5 As shown, device 500 includes a computing unit 501, which can perform various appropriate actions and processes based on a computer program stored in read-only memory (ROM) 502 or a computer program loaded from storage unit 508 into random access memory (RAM) 503. RAM 503 may also store various programs and data required for the operation of device 500. The computing unit 501, ROM 502, and RAM 503 are interconnected via bus 504. Input / output (I / O) interface 505 is also connected to bus 504.

[0086] Multiple components in device 500 are connected to I / O interface 505, including: input unit 506, such as keyboard, mouse, etc.; output unit 507, such as various types of monitors, speakers, etc.; storage unit 508, such as disk, optical disk, etc.; and communication unit 509, such as network card, modem, wireless transceiver, etc. Communication unit 509 allows device 500 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0087] The computing unit 501 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of the computing unit 501 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various computing units running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. The computing unit 501 performs the various methods and processes described above, such as the voice command response method. For example, in some embodiments, the voice command response method may be implemented as a computer software program tangibly contained in a machine-readable medium, such as storage unit 508. In some embodiments, part or all of the computer program may be loaded and / or installed on device 500 via ROM 502 and / or communication unit 509. When the computer program is loaded into RAM 503 and executed by the computing unit 501, one or more steps of the voice command response method described above may be performed. Alternatively, in other embodiments, the computing unit 501 may be configured to perform the voice command response method by any other suitable means (e.g., by means of firmware).

[0088] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems-on-a-chip (SoCs), payload-programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0089] The program code used to implement the methods of this disclosure may be written in any combination of one or more programming languages. This program code may be provided to a processor or controller of a general-purpose computer, special-purpose computer, or other programmable data processing apparatus, such that when executed by the processor or controller, the program code causes the functions / operations specified in the flowcharts and / or block diagrams to be implemented. The program code may be executed entirely on a machine, partially on a machine, as a standalone software package partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0090] In the context of this disclosure, a machine-readable medium can be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, apparatus, or device. A machine-readable medium can be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium can be, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0091] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device for displaying information to the user (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor); and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the computer. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0092] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as data servers), or middleware components (e.g., application servers), or frontend components (e.g., user computers with graphical user interfaces or web browsers through which users can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., communication networks). Examples of communication networks include local area networks (LANs), wide area networks (WANs), the Internet, and blockchain networks.

[0093] Computer systems can include clients and servers. Clients and servers are generally geographically separated and typically interact via communication networks. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. A server can be a cloud server, also known as a cloud computing server or cloud host, a hosting product within the cloud computing service ecosystem, addressing the shortcomings of traditional physical hosts and VPS (Virtual Private Server, or simply "VPS") services, such as high management difficulty and weak business scalability. Servers can also be servers for distributed systems or servers incorporating blockchain technology.

[0094] It should be understood that the various forms of processes shown above can be used to rearrange, add, or delete steps. For example, the steps described in this disclosure can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution disclosed in this disclosure can be achieved, and this is not limited herein.

[0095] The specific embodiments described above do not constitute a limitation on the scope of protection of this disclosure. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this disclosure should be included within the scope of protection of this disclosure.

Claims

1. A method for acquiring TGS data from radioactive waste bins, characterized in that, include: The pre-acquisition count rate continuously acquired by the detector is obtained, and the pre-acquisition count rate is analyzed to determine the pre-acquisition transmission count rate and the pre-acquisition emission count rate, wherein the pre-acquisition transmission count rate and the pre-acquisition emission count rate are acquired simultaneously. Adjust the filter in front of the transmission source and the detector according to the pre-acquired transmission count rate and the pre-acquired emission count rate; After adjusting the filter, the detection time of the detector is determined; The step of adjusting the filter in front of the transmission source and detector according to the pre-acquired transmission count rate and the pre-acquired emission count rate includes: Determine the theoretically calculated transmission count rate and the theoretically calculated emission count rate collected by the detector without a filter; Based on the theoretically calculated transmission count rate and the theoretically calculated emission count rate, adjust the filter in front of the transmission source and the detector. The step of determining the detector's detection time after adjusting the filter includes: Obtain the total detector count within a preset time period, and determine the collection count rate based on the preset time period and the total count. The detection time of the detector is dynamically adjusted according to the acquisition count rate.

2. The method according to claim 1, characterized in that, Before obtaining the pre-collection count rate continuously acquired by the detector, the following steps are included: A predetermined number of filters are placed in front of the detector so that the pre-collection count rate does not exceed the upper limit of the detector's count rate.

3. The method according to claim 1, wherein the transmission count rate and the emission count rate are calculated based on the theoretically calculated data collected by the detector without a filter, comprising: Based on Beer's Law, the theoretically calculated transmission count rate and the theoretically calculated emission count rate collected by the detector without a filter are determined. The formula of Beer's Law is as follows: in, The energy after passing through the filter is The number of gamma photons, The energy before passing through the filter is The number of gamma photons, The filter material is for energy The linear attenuation coefficient of gamma photons, It's the thickness of the filter. The energy was calculated and determined after determining the filter material and filter thickness. The attenuation ratio of gamma photons.

4. The method according to claim 3, characterized in that, The step of adjusting the filter in front of the transmission source and detector based on the theoretically calculated transmission count rate and theoretically calculated emission count rate includes: If the theoretically calculated emission count rate is lower than the preset theoretical count rate of the detector when there is no filter, remove the filter in front of the detector and adjust the number of filter pages in front of the transmission source so that the pre-collected count rate is close to the upper limit of the detector count rate. If the theoretically calculated emission count rate is higher than the preset theoretical count rate of the detector when there is no filter, and the theoretically calculated emission count rate is lower than the theoretically calculated transmission count rate, adjust the number of filter pages in front of the detector so that the pre-collected emission count rate does not exceed the preset theoretical count rate of the detector, and adjust the number of filter pages in front of the transmission source so that the pre-collected count rate is close to the upper limit of the detector count rate. If the theoretically calculated emission count rate is higher than the preset theoretical count rate of the detector when there is no filter, and the theoretically calculated emission count rate is higher than the theoretically calculated transmission count rate, adjust the number of filter pages in front of the detector so that the pre-collected count rate is close to the upper limit of the detector count rate.

5. The method according to claim 1, characterized in that, Before dynamically adjusting the detection time of the detector, the method further includes: Set an upper limit for the detection time.

6. The method according to claim 1, characterized in that, The method further includes: The acquisition count limit of the detector is determined based on the acquisition count rate and the detection time.

7. A computer device, characterized in that, The method includes 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, it implements the method as described in any one of claims 1-6.

8. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the method as described in any one of claims 1-6.

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