Transformer effective vibration signal selection method, device, equipment and medium

Abstract

The embodiment of the application discloses a transformer effective vibration signal selection method, device, equipment and medium, wherein the method comprises: obtaining a vibration signal of a transformer, calculating a frequency domain power of the vibration signal of the transformer; calculating an effective energy proportion based on the frequency domain power of the vibration signal of the transformer; and selecting an effective vibration signal from the vibration signal of the transformer according to the effective energy proportion, so that the transformer effective vibration signal with less interference information can be effectively selected, and the accuracy of subsequent analysis is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of high voltage test of electrical equipment, and in particular to a transformer effective vibration signal selection method, device, equipment and medium. BACKGROUND

[0002] At present, the research results of transformer vibration characteristics are still mostly completed in the laboratory, and are mostly obtained in the form of transformer model, and only a small amount of field vibration measurement is carried out. The transformer load, operating position, transformer oil temperature and operating life of the transformer will affect the transformer vibration signal during operation. Only short-term vibration test cannot comprehensively represent the overall vibration state of the transformer. In order to improve the reliability and accuracy of transformer winding state evaluation, long-term measurement needs to be carried out on the running transformer, and a large number of measured samples need to be ensured as data support, so as to lay a foundation for subsequent transformer winding state evaluation. The measurement device is easily disturbed by external factors during long-term measurement, and abnormal vibration generated by non-transformer operation is captured, resulting in misjudgment of the running state of the transformer.

[0003] In order to improve the reliability of transformer data discrimination, the data set needs to be preprocessed to eliminate abnormal data, so as to improve the accuracy of subsequent discrimination. SUMMARY

[0004] The main purpose of the present application is to provide a transformer effective vibration signal selection method, device, equipment and medium, which can effectively select transformer effective vibration signals with less interference information and improve the accuracy of subsequent analysis.

[0005] To achieve the above purpose, the present application provides a transformer effective vibration signal selection method, which comprises:

[0006] Obtaining the vibration signal of the transformer, calculating the frequency domain power of the vibration signal of the transformer;

[0007] Calculating the effective energy ratio based on the frequency domain power of the vibration signal of the transformer;

[0008] According to the effective energy ratio, the effective vibration signal is selected from the vibration signal of the transformer.

[0009] Optionally, the effective vibration signal is selected from the vibration signal of the transformer according to the effective energy ratio, comprising:

[0010] Comparing the effective energy ratio with the effective energy ratio threshold value, and selecting the vibration signal with the effective energy ratio greater than the effective energy ratio threshold value as the effective vibration signal.

[0011] Optionally, the method further comprises:

[0012] remove the vibration signal other than the effective vibration signal from the vibration signal of the transformer.

[0013] Optionally, the calculating the frequency domain power of the vibration signal of the transformer specifically includes calculating the frequency domain power of the vibration signal of the transformer by using the following formula:

[0014]

[0015] wherein, the A(t) represents the vibration amplitude of the vibration signal at t moment.

[0016] Optionally, the calculating the effective energy ratio based on the frequency domain power of the vibration signal of the transformer specifically includes calculating the effective energy ratio of the transformer by using the following formula:

[0017]

[0018] wherein, the f s represents the sampling frequency, the f sys represents the system frequency, and the δ represents the vibration signal threshold.

[0019] Optionally, the obtaining the vibration signal of the transformer includes:

[0020] collecting the vibration signal of the transformer based on the acceleration sensor adsorbed to the transformer tank.

[0021] Optionally, after collecting the vibration signal of the transformer, before calculating the frequency domain power of the vibration signal of the transformer, the method further includes:

[0022] calculating the characteristic value of the vibration data in the vibration signal of the transformer according to a preset rule;

[0023] filtering the vibration signal of the transformer based on the characteristic value of the vibration data, and retaining the vibration data with the characteristic value greater than a characteristic threshold.

[0024] Another aspect of the present application also provides a transformer effective vibration signal selection device, which includes:

[0025] an obtaining module, configured to obtain the vibration signal of the transformer;

[0026] a calculating module, configured to calculate the frequency domain power of the vibration signal of the transformer;

[0027] the calculating module is further configured to calculate the effective energy ratio based on the frequency domain power of the vibration signal of the transformer;

[0028] a selecting module, configured to select the effective vibration signal from the vibration signal of the transformer according to the effective energy ratio.

[0029] Optionally, the selecting module is specifically configured to:

[0030] comparing the effective energy ratio with an effective energy ratio threshold value, and selecting the vibration signal with the effective energy ratio greater than the effective energy ratio threshold value as the effective vibration signal.

[0031] Optionally, the selecting module is further configured to:

[0032] delete the vibration signal other than the effective vibration signal from the vibration signal of the transformer.

[0033] Optionally, the calculating module is specifically configured to calculate the frequency domain power of the vibration signal of the transformer by using the following formula:

[0034]

[0035] wherein, A(t) represents the vibration amplitude of the vibration signal at t moment.

[0036] Optionally, the calculating module is specifically configured to calculate the effective energy ratio of the transformer by using the following formula:

[0037]

[0038] wherein, f s represents the sampling frequency, f sys represents the system frequency, and δ represents the vibration signal threshold value.

[0039] Optionally, the obtaining module is specifically configured to:

[0040] obtain the vibration signal of the transformer based on the acceleration sensor attached to the transformer tank.

[0041] Optionally, the obtaining module is further configured to:

[0042] after obtaining the vibration signal of the transformer, calculate the characteristic value of the plurality of vibration data in the vibration signal of the transformer according to a preset rule before calculating the frequency domain power of the vibration signal of the transformer.

[0043] screen the vibration signal of the transformer based on the characteristic value of the plurality of vibration data, and retain the vibration data with the characteristic value greater than a characteristic threshold value.

[0044] Another aspect of the present application provides an electronic device, comprising a memory and a processor, wherein the memory stores a computer program, and the computer program is executed by the processor to make the processor execute the steps of the first aspect and any possible implementation manner thereof.

[0045] Another aspect of the present application provides a computer readable storage medium storing a computer program, which, when executed by a processor, causes the processor to perform each step in the method according to the first aspect.

[0046] The present application provides a transformer effective vibration signal selection method, device, equipment and medium, by acquiring the vibration signal of the transformer, calculating the frequency domain power of the vibration signal of the transformer; based on the frequency domain power of the vibration signal of the transformer, the effective energy ratio is calculated; according to the effective energy ratio, the effective vibration signal is selected from the vibration signal of the transformer, the effective data containing the transformer body vibration signal can be selected according to the calculation of the effective energy ratio of the transformer vibration signal, the transformer effective vibration signal with less interference information can be effectively selected, and the accuracy of subsequent analysis is improved. BRIEF DESCRIPTION OF DRAWINGS

[0047] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings needed to be used in the embodiments or prior art description will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0048] Among them:

[0049] Figure 1 The flowchart of a transformer effective vibration signal selection method provided by the present application is shown in the figure.

[0050] Figure 2 The flowchart of another transformer effective vibration signal selection method provided by the present application is shown in the figure.

[0051] Figure 3 The structure diagram of a transformer effective vibration signal selection device provided by the present application is shown in the figure. DETAILED DESCRIPTION

[0052] In order to make the person skilled in the art better understand the present application, the technical solutions in the embodiments of the present application will be described clearly and completely in the following with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only some of the embodiments of the present application, not all. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0053] The terms "first", "second", and the like in the description and in the claims of the present application and above drawings are used for distinguishing between similar objects, not for describing a specific sequential order. The terms "comprises", "comprising", "includes", "including" and the like are to be construed open- ended, meaning that they include the listed steps or elements, but not excluding other steps or elements. For example, a process, method, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements, but can include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.

[0054] Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment is included in at least one embodiment of the application. The appearances of the phrase "in an embodiment" in various places in the specification are not necessarily all referring to the same embodiment, nor are they necessarily mutually exclusive of one another. It is expressly understood that any of the embodiments described herein can be combined with any of the other embodiments unless specifically noted otherwise.

[0055] The embodiments of the present application will be described below in conjunction with the drawings of the embodiments of the present application.

[0056] Please refer to Figure 1 , a flowchart of a transformer effective vibration signal selection method provided by the embodiments of the present application. As shown in the figure, Figure 1 , the method comprises:

[0057] 101, obtaining a vibration signal of a transformer, and calculating a frequency domain power of the vibration signal of the transformer;

[0058] 102, calculating an effective energy ratio based on the frequency domain power of the vibration signal of the transformer;

[0059] 103, selecting an effective vibration signal from the vibration signal of the transformer according to the effective energy ratio.

[0060] The embodiments of the present application mainly propose a transformer effective vibration signal selection method, which is suitable for a scenario in which the vibration signal (vibration data) of the transformer needs to be obtained for discrimination processing. The vibration signal of the transformer is preprocessed to improve the accuracy of subsequent analysis.

[0061] The execution subject of the method in the embodiments of the present application is a transformer effective vibration signal selection device, which can be actually applied to an electronic device such as a terminal device.

[0062] The step 101 can comprise:

[0063] Based on an acceleration sensor adsorbed to a transformer tank, the vibration signal of the transformer is collected.

[0064] Specifically, according to the model and parameters of the transformer, a vibration acceleration sensor suitable for the frequency and sensitivity of the transformer can be used, and the acceleration sensor is installed on the surface of the transformer tank to be detected to collect the vibration signals of the transformer.

[0065] One or more sensors can be arranged to collect the vibration signals (such as vibration speed, vibration frequency, etc.) of each measuring point of the transformer in real time, and the collected signal data can be uploaded to a server or an electronic device for processing through wired or wireless means. The vibration signal of the transformer in the embodiment of the present application can be a signal collected by any acceleration sensor, and can include multiple signals.

[0066] Specifically, after obtaining the vibration signal of the transformer, the frequency domain power of the vibration signal can be calculated first, which can be expressed as psd(f) - vibration power at a certain frequency; then the corresponding effective energy ratio EER is calculated based on psd(f), and the effective vibration signal is selected according to the calculated effective energy ratio. The principle can be to select the signal with a relatively higher effective energy ratio, for example, to select the signal with the top 50% of EER, or the signal with EER greater than a certain threshold, etc.

[0067] Optionally, before calculating the frequency domain power of the vibration signal of the transformer, the vibration signal can be subjected to noise reduction processing, or noise reduction processing can be performed after selecting the effective vibration signal, which is not limited in the embodiment of the present application.

[0068] In an optional embodiment, after step 101, before calculating the frequency domain power of the vibration signal of the transformer, the method further comprises:

[0069] calculating the characteristic values of the multiple groups of vibration data in the vibration signal of the transformer according to a preset rule;

[0070] screening the vibration signal of the transformer based on the characteristic values of the multiple groups of vibration data, and retaining the vibration data with a characteristic value greater than a characteristic threshold.

[0071] The characteristic value can be calculated according to the vibration characteristic, and the characteristic importance of the characteristic can be calculated by considering the correlation and redundancy of each characteristic. After calculating the characteristic values of the multiple groups of vibration data, the vibration characteristics with high importance can be screened according to the characteristic values, for example, the characteristic threshold can be set according to the need, and when the calculated characteristic value is greater than the characteristic threshold, the vibration characteristic can be retained, otherwise it can be discarded.

[0072] In an optional embodiment, step 103 comprises:

[0073] The effective energy ratio is compared with the effective energy ratio threshold value, and the vibration signal with the effective energy ratio greater than the effective energy ratio threshold value is selected as the effective vibration signal.

[0074] Further, the method further includes:

[0075] The vibration signal other than the effective vibration signal is deleted from the vibration signal of the transformer.

[0076] In the embodiment of the application, the effective data containing the transformer body vibration signal can be selected by the pre-set effective energy ratio threshold value.

[0077] The effective energy ratio threshold value can be set as required. In the case that the calculation result of the effective energy ratio is 0-1, the threshold value of the effective energy ratio threshold value can be a value greater than 0 and less than 1.

[0078] For example, the effective energy ratio threshold value is 0.8, which can be understood as setting EER=0.8 as the selection standard of the effective data. When the measured vibration signal EER≥0.8, it indicates that the signal contains a large amount of transformer body vibration information, which is retained (as an effective vibration signal); when the measured vibration signal EER<0.8, it indicates that the external interference program of the vibration signal is large, which should be removed.

[0079] By deleting the determined invalid vibration signal, unnecessary data occupation can be reduced.

[0080] The transformer effective vibration signal selected above can be used for subsequent discriminant analysis, or can be further pre-processed, such as various denoising processing or other abnormal data removal processing, and then used for discriminant analysis, which can improve the accuracy of subsequent discrimination.

[0081] The transformer effective vibration signal selection method in the embodiment of the application can obtain the vibration signal of the transformer, calculate the frequency domain power of the vibration signal of the transformer, calculate the effective energy ratio based on the frequency domain power of the vibration signal of the transformer, and select the effective vibration signal from the vibration signal of the transformer according to the effective energy ratio. The effective energy ratio of the transformer vibration signal can be calculated to select the effective data containing the transformer body vibration signal, which can effectively select the transformer effective vibration signal with less interference information and improve the accuracy of subsequent analysis.

[0082] Please refer to Figure 2 Another flowchart of a transformer effective vibration signal selection method provided in the embodiment of the application is shown in Figure 2 The method includes:

[0083] 201, obtaining the vibration signal of the transformer;

[0084] 202、Calculate the frequency domain power of the vibration signal of the transformer by the following formula:

[0085]

[0086] Wherein, A(t) represents the vibration amplitude of the vibration signal at time t;

[0087] 203、Calculate the effective energy ratio of the transformer by the following formula:

[0088]

[0089] Wherein, f s represents the sampling frequency, f sys represents the system frequency, and δ represents the vibration signal threshold;

[0090] 204、Compare the effective energy ratio with the effective energy ratio threshold, and select the vibration signal with the effective energy ratio greater than the effective energy ratio threshold as the effective vibration signal.

[0091] The execution subject of the method in the embodiment of the application is a transformer effective vibration signal selection device, which can be actually applied to an electronic device such as a terminal device.

[0092] Wherein, the steps 201 and 204 can refer to the related specific description in the embodiment shown in Figure 1 , which will not be repeated here.

[0093] Specifically, the embodiment of the application proposes a transformer effective vibration signal selection method based on effective energy ratio, which can effectively select a transformer effective vibration signal with less interference information. The basic steps are:

[0094] 1、Calculate the frequency domain power of the vibration signal:

[0095]

[0096] In the formula, psd(f) represents the vibration power at a certain frequency f;

[0097] A(t) represents the vibration amplitude at a certain time t;

[0098] 2、Calculate the effective energy ratio EER:

[0099]

[0100] In the formula, f s represents the sampling frequency;

[0101] f sysSystem frequency is represented, 50Hz;

[0102] δ represents the vibration signal threshold value, which can be set as needed; when the vibration amplitude E(f) is less than δ, it has less effect on the characteristics of the overall signal, and can be ignored;

[0103] 3, select effective vibration data:

[0104] Set EER=0.8 as the selection standard of effective data, when the measured vibration signal EER≥0.8, it means that the signal contains a lot of transformer body vibration information, and should be retained; when the measured vibration signal EER<0.8, it means that the external interference of the vibration signal is large, and should be removed.

[0105] The above is only one specific method flow example, which can be adjusted according to the needs on the basis of the present application, such as modifying the set threshold or simply adjusting the calculation method based on the original formula, the present application embodiment does not limit this.

[0106] In order to improve the reliability and accuracy of transformer winding state evaluation, long-term measurement needs to be carried out on the running transformer, a large number of measured samples are ensured as data support, which can lay a foundation for subsequent transformer winding state evaluation. In the long-term measurement process, a large amount of data is accumulated, and the measurement device is easily disturbed by external factors, and abnormal vibration generated by non-transformer operation is captured, which leads to misjudgment of the running state of the transformer. In order to improve the reliability of data discrimination, the data set needs to be preprocessed to remove abnormal data, so as to reduce unnecessary data occupation and processing, and improve the accuracy of subsequent discrimination.

[0107] The transformer effective vibration signal selection method in the embodiment of the present application, by acquiring the vibration signal of the transformer, calculating the frequency domain power of the vibration signal of the transformer; based on the frequency domain power of the vibration signal of the transformer, the effective energy ratio is calculated; according to the effective energy ratio, the effective vibration signal is selected from the vibration signal of the transformer, which can select the effective data containing the transformer body vibration signal according to the calculation of the effective energy ratio of the transformer vibration signal, which can effectively select the transformer effective vibration signal with less interference information, improve the accuracy of subsequent analysis, and can reduce unnecessary data occupation and processing.

[0108] Based on the description of the foregoing method embodiment, the present application embodiment further discloses a transformer effective vibration signal selection device.

[0109] Figure 3 A structure diagram of a transformer effective vibration signal selection device provided by the embodiment of the present application is shown in Figure 3 As shown in the figure, the transformer effective vibration signal selection device 300 can include:

[0110] The acquisition module 310 is configured to acquire a vibration signal of a transformer.

[0111] The calculation module 320 is configured to calculate a frequency domain power of the vibration signal of the transformer.

[0112] The calculation module 320 is further configured to calculate an effective energy ratio based on the frequency domain power of the vibration signal of the transformer.

[0113] The selection module 330 is configured to select an effective vibration signal from the vibration signal of the transformer according to the effective energy ratio.

[0114] Optionally, the selection module 330 is specifically configured to:

[0115] compare the effective energy ratio with an effective energy ratio threshold value, and select a vibration signal with an effective energy ratio greater than the effective energy ratio threshold value as the effective vibration signal.

[0116] Optionally, the selection module 330 is further configured to:

[0117] delete a vibration signal other than the effective vibration signal from the vibration signal of the transformer.

[0118] Optionally, the calculation module 320 is specifically configured to calculate the frequency domain power of the vibration signal of the transformer by using the following formula:

[0119]

[0120] wherein A(t) represents a vibration amplitude of the vibration signal at t.

[0121] Optionally, the calculation module 320 is specifically configured to calculate the effective energy ratio of the transformer by using the following formula:

[0122]

[0123] wherein f represents a sampling frequency, f represents a system frequency, and δ represents a vibration signal threshold value. s sys

[0124] Optionally, the acquisition module 310 is specifically configured to:

[0125] acquire the vibration signal of the transformer based on an acceleration sensor attached to a transformer tank.

[0126] Optionally, the acquisition module 310 is further configured to:

[0127] ​​After collecting the vibration signal of the transformer, before calculating the frequency domain power of the vibration signal of the transformer, a characteristic value of a plurality of groups of vibration data in the vibration signal of the transformer is calculated according to a preset rule;

[0128] The vibration signal of the transformer is screened based on the characteristic values of the plurality of groups of vibration data, and vibration data with a characteristic value greater than a characteristic threshold is retained.

[0129] It can be understood that the related content of each module in the above device has been described in detail in the foregoing method embodiments, and the specific content can be referred to in the method embodiments. That is, the transformer effective vibration signal selection device provided by the present application can perform any step in the embodiments shown in Figure 1 or Figure 2 , and details are not repeated here.

[0130] In an embodiment of the present application, an electronic device is also provided. The electronic device can include a processor and a memory, the memory storing a computer program, the computer program being executed by the processor to perform any step in the method embodiments as shown in Figure 1 or Figure 2 , and can perform related construction of the model, and can perform application calculation of the model. The electronic device can also include input / output devices, etc. In a specific implementation, the electronic device can be a server, a terminal device, etc.

[0131] In an embodiment, a computer readable storage medium is also provided, which stores a computer program, the computer program being executed by a processor to cause the processor to perform any step in the foregoing method embodiments.

[0132] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program. The program can be stored in a non-volatile computer readable storage medium, and when the program is executed, the processes of the above-mentioned embodiment methods can be included. Any reference to memory, storage, database, or other medium used in the embodiments provided in the present application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. As an illustration but not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0133] The technical features of the above embodiments can be combined in any way. In order to make the description simple, not all possible combinations of the technical features in the above embodiments are described, but as long as the combinations of the technical features do not exist, they should be considered as the scope of the present application.

[0134] The above embodiments only express several implementation manners of the present application, and the description is more specific and detailed, but it should not be understood as a limitation on the scope of the patent of the present application. It should be pointed out that for ordinary skilled in the art, without departing from the concept of the present application, a number of modifications and improvements can be made, which are all within the scope of the present application. Therefore, the protection scope of the patent of the present application should be subject to the appended claims.

Claims

1. A method for selecting effective vibration signals of a transformer, characterized in that, The method includes: Obtain the vibration signal of the transformer and calculate the frequency domain power of the vibration signal of the transformer; After acquiring the vibration signal of the transformer, and before calculating the frequency domain power of the vibration signal of the transformer, the method further includes: calculating the feature values ​​of multiple sets of vibration data in the vibration signal of the transformer according to preset rules; filtering the vibration signal of the transformer based on the feature values ​​of the multiple sets of vibration data, and retaining the vibration data whose feature values ​​are greater than the feature threshold; The calculation of the frequency domain power of the transformer's vibration signal specifically includes calculating the frequency domain power of the transformer's vibration signal using the following formula: ； Wherein, A(t) represents the vibration amplitude of the vibration signal at time t; The effective energy ratio is calculated based on the frequency domain power of the transformer's vibration signal; specifically, the effective energy ratio of the transformer is calculated using the following formula: ； Among them, the Indicates the sampling frequency, the Indicates the system frequency, the Indicates the vibration signal threshold; Based on the effective energy ratio, an effective vibration signal is selected from the vibration signals of the transformer. Specifically, this includes comparing the effective energy ratio with an effective energy ratio threshold and selecting vibration signals whose effective energy ratio is greater than the effective energy ratio threshold as the effective vibration signal.

2. The method for selecting effective vibration signals of a transformer according to claim 1, characterized in that, The method further includes: Remove vibration signals other than the valid vibration signal from the vibration signal of the transformer.

3. The method for selecting effective vibration signals of a transformer according to claim 1, characterized in that, The acquisition of the transformer's vibration signal includes: The vibration signal of the transformer is collected using an accelerometer that is attached to the transformer housing.

4. A device for selecting effective vibration signals from a transformer, characterized in that, include: The acquisition module is used to acquire the vibration signal of the transformer; A calculation module is used to calculate the frequency domain power of the vibration signal of the transformer; The calculation module is further configured to, after acquiring the vibration signal of the transformer and before calculating the frequency domain power of the vibration signal of the transformer, calculate the feature values ​​of multiple sets of vibration data in the vibration signal of the transformer according to preset rules; and filter the vibration signal of the transformer based on the feature values ​​of the multiple sets of vibration data, retaining the vibration data whose feature values ​​are greater than the feature threshold. The calculation module is specifically used to calculate the frequency domain power of the transformer's vibration signal using the following formula: ； Wherein, A(t) represents the vibration amplitude of the vibration signal at time t; The calculation module is also used to calculate the effective energy ratio based on the frequency domain power of the transformer's vibration signal; specifically, it is used to calculate the effective energy ratio of the transformer using the following formula: ； Among them, the Indicates the sampling frequency, the Indicates the system frequency, the Indicates the vibration signal threshold; The selection module is used to select effective vibration signals from the vibration signals of the transformer based on the effective energy ratio. The selection module is specifically used to compare the effective energy ratio with the effective energy ratio threshold, and select the vibration signal with the effective energy ratio greater than the effective energy ratio threshold as the effective vibration signal.

5. An electronic device, characterized in that, It includes a memory and a processor, the memory storing a computer program that, when executed by the processor, causes the processor to perform the steps of the method as described in any one of claims 1-3.

6. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by a processor, the processor performs the steps of the method as described in any one of claims 1-3.

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