Method and device for screening large-area photovoltaic land and storage medium

Abstract

The invention discloses a large-area photovoltaic land screening method, which comprises the following operation steps: S1, collecting and storing regional land resource space data, and collecting and storing large-scale DEM (Digital Elevation Model) data of a specified regional terrain; s2, inputting a specified photovoltaic land use policy, a selection tendency and sensitive area data, screening out land type data meeting specified photovoltaic land use policy conditions and the selection tendency, and rechecking and removing land parcels related to the sensitive area to obtain a preliminary range; s3, inputting topographic factors influencing photovoltaic land selection, carrying out topographic data processing, extracting corresponding data and carrying out vectorization processing; s4, mountain shadow overlay analysis and slope overlay analysis are sequentially carried out, and analyzed land pattern spots are obtained; and S5, carrying out concentration degree analysis and screening on the land pattern spots to obtain a large-area photovoltaic land preferential selection area. The photovoltaic land can be automatically and efficiently screened in a large area range, and the efficiency and accuracy of photovoltaic power station site selection are remarkably improved.

Description

Technical Field

[0001] The present invention relates to the technical field of photovoltaic land screening, and in particular to a method, a device and a storage medium for screening photovoltaic land in a large area. Background Art

[0002] As the global demand for renewable energy continues to increase, photovoltaic power generation has been widely used and developed as a clean and sustainable form of energy. However, in the construction and planning of photovoltaic power stations, reasonable site selection is one of the key factors to ensure efficient output of light energy.

[0003] Before the construction and planning of photovoltaic power stations, the first thing to do is to demarcate the land and select the site. The power station installation area suitable for photovoltaic power generation is divided first, and then the power station site is selected within this range according to actual policies. Reasonable location selection is very important for the output of light energy. Therefore, the division of photovoltaic land before site selection will directly affect the specific site selection operation, which will further affect the overall photovoltaic power station power generation in the area. Therefore, there is a need in the existing technology to screen photovoltaic available land over a large area of ​​complex terrain.

[0004] At present, in the process of screening available land for photovoltaic power generation, the method usually adopted is to conduct on-site inspection and preliminary assessment of the proposed area based on experience and some auxiliary tools, and then delineate the scope of land that can be used to install photovoltaic modules and implement manual screening. This not only consumes a lot of design time, but also cannot guarantee accuracy. When too much manpower is invested, there is also the problem of inconsistent screening scales.

[0005] To this end, this application specifically proposes a method for screening large-area photovoltaic land to solve the above technical problems. Summary of the invention

[0006] The main purpose of the present invention is to provide a method for screening photovoltaic land in a large area to solve the technical problems raised in the background technology.

[0007] The present invention adopts the following technical solutions to solve the above technical problems:

[0008] A method for screening large-area photovoltaic land use, comprising the following steps:

[0009] S1. Collect regional land resources spatial data and save it in ShapeFile format, collect large-scale DEM data of the designated area terrain and save it in TIF format;

[0010] S2. Input the designated photovoltaic land use policy, selection tendency and sensitive area data, and screen out the land type data that meets the designated photovoltaic land use policy conditions and selection tendency based on the GIS image data attribute value screening mechanism, and review whether the screened land type data involves sensitive areas, so as to eliminate the plots involving sensitive areas and obtain the preliminary construction scope of the photovoltaic project;

[0011] S3. Input terrain factors including slope, aspect and mountain shadow that affect the selection of photovoltaic land, process terrain data based on DEM data, extract regional slope, aspect and mountain shadow data and perform vector processing for subsequent analysis;

[0012] S4. Performing mountain shadow overlay analysis and slope aspect overlay analysis in sequence to obtain analyzed land patches;

[0013] S5. Conduct concentration analysis and screening of land plots to obtain priority areas for large-scale photovoltaic land use.

[0014] Preferably, the specific operation steps of performing vectorization processing in the S3 process include:

[0015] S31. Convert the coordinate system of regional terrain data into the National Geodetic Coordinate System 2000;

[0016] S32. extracting slope and aspect data and performing vectorization processing to generate point data of slope and aspect;

[0017] S33. Performing mountain shadow analysis and vectorization processing on the winter solstice to generate mountain shadow surface data, wherein the mountain shadow surface data includes data at 9 am and data at 3 pm, and the specific operation steps of the mountain shadow analysis include:

[0018] The solar altitude h at 9 am and 3 pm is the same, and the azimuth is 135° in the southeast and 225° in the southwest respectively. The calculation formula of the solar altitude h is as follows:

[0019] sinh=sinφsinδ+cosφcosδcost

[0020] Wherein: δ is the solar declination, φ is the geographical latitude of the observation site, t is the local time, and the calculation formula of t is as follows: t=15°×(current time-12).

[0021] Preferably, the specific operation steps of the mountain shadow overlay analysis in step S4 include:

[0022] For the Value value of the mountain shadow data, extract the data with a Value value of 0 and save it separately as a vector file, define it as the shadow area, and use overlay analysis to eliminate the land map patches with a Value value of 0.

[0023] Preferably, the specific operation steps of the slope and aspect overlay analysis in step S4 include:

[0024] According to the spatial position relationship, the average value of the slope and slope direction within the land map is assigned to the land map;

[0025] The land patches are screened according to the slope and aspect, including:

[0026] The slope value is between 0° and 90°, and the land patches with a value greater than 40° are eliminated;

[0027] The slope aspect Value is between 0° and 360°, and the land patches between 135° and 225° are extracted.

[0028] Preferably, the specific operation steps of the concentration analysis screening in step S5 include:

[0029] S51. Grouping of plots: Grouping the land within 50m of the boundary of the plots into one plot;

[0030] S52. Cluster analysis: Eliminate clusters with installed capacity less than 1MW;

[0031] S53. Considering the area of ​​the land patches within the cluster and the spatial distance between the land patches, calculate the concentration credibility value of the cluster, input the concentration credibility value threshold, and select the clusters whose concentration credibility values ​​meet the threshold conditions as the priority selection areas for large-area photovoltaic land use.

[0032] Preferably, the specific operation steps of calculating the concentration credibility value of the cluster block in the step S53 include:

[0033] The area S of n land patches in the preset cluster i The spatial distance L between (i≤n) and the land patch, and the expression of the concentration credible value T is:

[0034]

[0035] Among them, α, β and γ are influencing factors. Initially, α, β and γ are set to 0.5, 0.3 and 0.8 respectively. j is the maximum land patch area, L max is the distance between the largest land patch and the farthest land patch, L min is the distance between the largest land patch and the nearest land patch

[0036] On the other hand, the present invention further discloses a computer-readable storage medium storing a computer program, wherein when the computer program is executed by a processor, the processor executes the steps of the above method.

[0037] On the other hand, the present invention further discloses a computer device, including a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor executes the steps of the above method.

[0038] It can be seen from the above technical solution that the present invention provides a method for screening photovoltaic land in a large area. Compared with the prior art, the present invention has the following advantages:

[0039] 1. The present invention can play a role in efficiently screening photovoltaic land by setting up an automated data collection, processing and analysis process, thereby achieving the effect of automatically and quickly identifying suitable land in a larger area, and significantly improving the efficiency and accuracy of photovoltaic power station site selection.

[0040] 2. The present invention can reasonably divide and screen photovoltaic land by grouping and analyzing plots and calculating the concentration credibility value of the cluster blocks, thereby achieving the effect of improving the utilization efficiency of photovoltaic land, and finally obtaining priority selection areas for photovoltaic land in a large area.

[0041] It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present invention, nor is it intended to limit the scope of the present invention. Other features of the present invention will become easy to understand through the following description. Of course, it is not necessary to achieve all of the advantages described above simultaneously for any product implementing the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] The drawings constituting a part of the present application are used to provide a further understanding of the present invention. 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:

[0043] Figure 1 It is a schematic diagram of the data processing flow of the present invention;

[0044] Figure 2 It is a schematic diagram of the overall operation process of the present invention;

[0045] Figure 3 It is a schematic diagram of an example flow of terrain data processing of the present invention;

[0046] Figure 4 Schematic diagram of an example of the property value screening result of the present invention

[0047] Figure 5 It is a schematic diagram of the concentration analysis example process of the present invention;

[0048] Figure 6This is a schematic diagram comparing the predicted area and the actual area of ​​the present invention, wherein red represents the predicted area and blue represents the actual area. DETAILED DESCRIPTION

[0049] The technical solutions 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, rather than all of the embodiments. In the absence of conflict, the embodiments in this application and the features in the embodiments can be combined with each other. Based on the embodiments in the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0050] In the embodiment, see Figures 1 to 6 .

[0051] like Figure 1 and Figure 2 A method for screening large-area photovoltaic land use proposed in an embodiment of the present invention includes the following steps:

[0052] S1. Collect regional land resources spatial data and save it in ShapeFile format, collect large-scale DEM data of the designated area terrain and save it in TIF format;

[0053] Furthermore, it should be noted that the DEM data used in this invention is of a scale of 1:7933, which has a low accuracy and may affect the results of slope, aspect, and mountain occlusion. If more accurate results are required, large-scale DEM data can be purchased.

[0054] S2. Input the designated photovoltaic land use policy, selection tendency and sensitive area data, and screen out the land type data that meets the designated photovoltaic land use policy conditions and selection tendency based on the GIS image data attribute value screening mechanism, and review whether the screened land type data involves sensitive areas, so as to eliminate the plots involving sensitive areas and obtain the following Figure 4 The scope of preliminary PV projects that can be built is shown;

[0055] S3. Input terrain factors including slope, aspect and mountain shadow that affect the selection of photovoltaic land, process terrain data based on DEM data, extract regional slope, aspect and mountain shadow data and perform vector processing for subsequent analysis;

[0056] At this time, you can refer to Figure 3 , the specific steps for vectorization processing include:

[0057] S31. Convert the coordinate system of regional terrain data into the National Geodetic Coordinate System 2000;

[0058] S32. extracting slope and aspect data and performing vectorization processing to generate point data of slope and aspect;

[0059] S33. Perform mountain shadow analysis and vectorization processing on the winter solstice to generate mountain shadow surface data, wherein the mountain shadow surface data includes data at 9 am and data at 3 pm, and the specific operation steps of the mountain shadow analysis include:

[0060] The solar altitude h at 9 am and 3 pm is the same, and the azimuth is 135° in the southeast and 225° in the southwest respectively. The calculation formula of the solar altitude h is as follows:

[0061] sinh=sinφsinδ+cosφcosδcost

[0062] Where: δ is the solar declination, φ is the geographical latitude of the observation site, t is the local time, and the calculation formula of t is as follows: t = 15° × (current time - 12);

[0063] S4. Perform mountain shadow overlay analysis and slope aspect overlay analysis in sequence to obtain the analyzed land map, where:

[0064] (1) The specific operation steps of hill shadow overlay analysis include:

[0065] For the Value value of the mountain shadow data, extract the data with a Value value of 0 and save it separately as a vector file, define it as the shadow area, and use overlay analysis to remove the land patches with a Value value of 0;

[0066] It should also be noted that the hill shadow analysis takes into account the effects of slope, aspect and mountain occlusion on illumination. Here, only the completely occluded areas are deleted. You can adjust the Value appropriately according to actual needs and select areas with better illumination.

[0067] (2) The specific operation steps of slope and aspect overlay analysis include:

[0068] According to the spatial position relationship, the average value of the slope and slope direction within the land map is assigned to the land map;

[0069] The land patches are screened according to the slope and aspect, including:

[0070] The slope value is between 0° and 90°, and the land patches with a value greater than 40° are eliminated;

[0071] The slope aspect value is between 0° and 360°, and the land patches between 135° and 225° are extracted;

[0072] At this point, it should be supplemented that, for the slope, on the one hand, if the slope is large, it is not conducive to mechanized construction, and manual construction will lead to increased construction costs. On the other hand, generally speaking, in order to capture sunlight energy to the greatest extent, the photovoltaic panels need to be perpendicular to the sunlight. If the slope is large, the photovoltaic panels cannot be tilted as needed; the slope value can be adjusted according to actual needs, increased or decreased, and the maximum should not exceed 60°; for the slope direction, it is mainly to control the illumination time and incident angle of the photovoltaic panel, which affects the photovoltaic power generation efficiency. The slope direction value can be adjusted according to actual needs, increased or decreased, and generally should be controlled between 90° and 270° (due east to due west);

[0073] In addition, it is necessary to further explain that in actual use, there may be some local dissatisfaction when taking the average value of slope and aspect, so the following improvement methods can be used:

[0074] (1) Assign the average value and the maximum value to the land map at the same time, select the land map according to the average value, and then review the abnormal areas according to the maximum value;

[0075] (2) Create a surface data set, divide it into grids, assign the average slope and aspect values ​​to the grids, select the grids that meet the requirements, and then overlay them with the land map. This way, the accuracy of the data can be controlled by controlling the size of the grids.

[0076] S5. Perform concentration analysis and screening on land plots to obtain priority areas for large-scale photovoltaic land use, refer to Figure 5 As shown, the specific operation steps of concentration analysis screening include:

[0077] S51. Grouping of plots: Grouping the land within 50m of the boundary of the plots into one plot;

[0078] S52. Cluster analysis: Eliminate clusters with installed capacity less than 1MW;

[0079] S53. Considering the area of ​​the land patches in the cluster and the spatial distance between the land patches, the concentration credibility value of the cluster is calculated, the concentration credibility value threshold is input, and the clusters whose concentration credibility values ​​meet the threshold conditions are selected as the priority selection areas for large-area photovoltaic land use;

[0080] At this time, the area S of n land patches in the preset cluster block i (i≤n) and the spatial distance L between the land patches, the specific calculation expression of the credible value T of cluster concentration is:

[0081]

[0082] Among them, α, β and γ are influencing factors. Initially, α, β and γ are set to 0.5, 0.3 and 0.8 respectively. j is the maximum land patch area, L max is the distance between the largest land patch and the farthest land patch, L min is the distance between the largest land patch area and the nearest land patch;

[0083] Finally, in the concentration analysis process, the photovoltaic construction area can be selected first according to the concentration analysis results, and the actual deployment range should be expanded based on the actual situation and the group analysis results;

[0084] At this time, by grouping and analyzing the plots, and calculating the concentration credibility value of the cluster blocks, it is possible to reasonably divide and screen the photovoltaic land, thereby achieving the effect of improving the utilization efficiency of photovoltaic land, and finally obtaining the priority selection area for photovoltaic land in a large area;

[0085] At this point, it can also be explained that the reference Figure 6 As shown, based on the comparison between the actual land use and the predicted land use, it can be seen that the area actually selected for layout is highly overlapped with the predicted area, and the application method has a good screening effect.

[0086] In summary, this method is based on the regional photovoltaic suitability construction, comprehensively considers land resource constraints, terrain factors, construction and development cost factors, and adopts the GeoScence software platform. It can set up automatic land use property screening, terrain data processing, overlay analysis, and concentration analysis to finally screen out suitable plots for photovoltaic land use. It can play a role in efficiently screening photovoltaic land, thereby achieving the effect of automatically and quickly identifying suitable land in a larger area, significantly improving the efficiency and accuracy of photovoltaic power station site selection, and effectively solving problems such as land use compliance, high fragmented construction and development costs, and terrain affecting photovoltaic power generation efficiency, and promoting the scientific selection of photovoltaic land in large areas.

[0087] Furthermore, it should be noted that the values ​​of the thresholds of the invention, such as slope, aspect, mountain shadow, and cluster boundary spacing, are mainly determined based on actual conditions. For example, if existing land resources are relatively scarce, the slope value will be enlarged, the slope aspect will be widened, and the spacing will be enlarged. However, this will increase the construction cost. If the existing land resources are good, the slope value can be lowered.

[0088] In addition, the present invention application will also consider the selection of photovoltaic sites for existing roads in the future. The selection principle is to use existing roads or build new roads (if the slope is large, it cannot be arranged). The existing roads can collect road data and then delineate a certain distance. New roads can be combined with slope analysis.

[0089] The analysis is considered from a landscape perspective, and selection is made outside the visible range, such as on both sides of the road and around residential areas. The implementation method is to collect road and residential area data and then use viewshed analysis.

[0090] On the other hand, the present invention further discloses a computer-readable storage medium storing a computer program, wherein when the computer program is executed by a processor, the processor executes the steps of the above method.

[0091] On the other hand, the present invention further discloses a computer device, including a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor executes the steps of the above method.

[0092] In another embodiment provided in the present application, a computer program product including instructions is also provided, which, when executed on a computer, enables the computer to execute any of the methods for screening large-area photovoltaic land use in the above embodiments.

[0093] It is understandable that the system provided by the embodiment of the present invention corresponds to the method provided by the embodiment of the present invention, and the explanation, examples and beneficial effects of the relevant contents can refer to the corresponding parts in the above method.

[0094] The embodiment of the present application also provides an electronic device, including a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other through the communication bus.

[0095] Memory, used to store computer programs;

[0096] The processor is used to implement the above-mentioned method for screening large-area photovoltaic land when executing the program stored in the memory.

[0097] The communication bus mentioned in the above electronic device can be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. The communication bus can be divided into an address bus, a data bus, a control bus, etc.

[0098] The communication interface is used for communication between the above electronic device and other devices.

[0099] The memory may include a random access memory (RAM) or a non-volatile memory (NVM), such as at least one disk memory. Optionally, the memory may also be at least one storage device located away from the aforementioned processor.

[0100] The above-mentioned processor can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, and discrete hardware components.

[0101] In the above embodiments, it can be implemented in whole or in part by software, hardware, firmware or any combination thereof. When implemented using software, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions may be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions may be transmitted from a website site, computer, server or data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) mode to another website site, computer, server or data center. The computer-readable storage medium may be any available medium that a computer can access or a data storage device such as a server or data center that includes one or more available media integrated. The available medium may be a magnetic medium, (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a solid-state drive Solid State Disk (SSD)), etc.

[0102] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

[0103] In addition, it should be noted that if the embodiments of the present invention involve directional indications (such as up, down, left, right, front, back, etc.), the directional indications are only used to explain the relative position relationship, movement status, etc. between the components in a certain specific posture. If the specific posture changes, the directional indication will also change accordingly.

[0104] In addition, if there are descriptions involving "first", "second", etc. in the embodiments of the present invention, the descriptions of "first", "second", etc. are only used for descriptive purposes and cannot be understood as indicating or implying their relative importance or implicitly indicating the number of technical features indicated. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In addition, the meaning of "and / or" appearing in the full text includes three parallel schemes. Taking "A and / or B" as an example, it includes scheme A, or scheme B, or schemes that A and B meet at the same time. In addition, in the embodiments of the present invention, "multiple" refers to more than two. In addition, the technical solutions between the various embodiments can be combined with each other, but it must be based on the ability of ordinary technicians in the field to implement. When the combination of technical solutions is contradictory or cannot be implemented, it should be considered that such a combination of technical solutions does not exist and is not within the scope of protection required by the present invention.

Claims

1. A method for screening large-area photovoltaic land, characterized in that: The steps include: S1. Collect regional land resources spatial data and save it in ShapeFile format, collect large-scale DEM data of the designated area terrain and save it in TIF format; S2. Input the designated photovoltaic land use policy, selection tendency and sensitive area data, and screen out the land type data that meets the designated photovoltaic land use policy conditions and selection tendency based on the GIS image data attribute value screening mechanism, and review whether the screened land type data involves sensitive areas, so as to eliminate the plots involving sensitive areas and obtain the preliminary construction scope of the photovoltaic project; S3. Input terrain factors including slope, aspect and mountain shadow that affect the selection of photovoltaic land, process terrain data based on DEM data, extract regional slope, aspect and mountain shadow data and perform vector processing for subsequent analysis; S4. Performing mountain shadow overlay analysis and slope aspect overlay analysis in sequence to obtain analyzed land patches; S5. Conduct concentration analysis and screening of land plots to obtain priority areas for large-scale photovoltaic land use.

2. The method for screening large-area photovoltaic land according to claim 1, characterized in that: The specific operation steps of performing vectorization processing in the S3 process include: S31. Convert the coordinate system of regional terrain data into the National Geodetic Coordinate System 2000; S32. extracting slope and aspect data and performing vectorization processing to generate point data of slope and aspect; S33. Performing mountain shadow analysis and vectorization processing on the winter solstice to generate mountain shadow surface data, wherein the mountain shadow surface data includes data at 9 am and data at 3 pm, and the specific operation steps of the mountain shadow analysis include: The solar altitude h at 9 am and 3 pm is the same, and the azimuth is 135° in the southeast and 225° in the southwest respectively. The calculation formula of the solar altitude h is as follows: sinh=sinφsinδ+cosφcosδcost Wherein: δ is the solar declination, φ is the geographical latitude of the observation site, t is the local time, and the calculation formula of t is as follows: t=15°×(current time-12).

3. The method for screening large-area photovoltaic land according to claim 1, characterized in that: The specific operation steps of the mountain shadow overlay analysis in step S4 include: For the Value value of the mountain shadow data, extract the data with a Value value of 0 and save it separately as a vector file, define it as the shadow area, and use overlay analysis to eliminate the land map patches with a Value value of 0.

4. The method for screening large-area photovoltaic land according to claim 1, characterized in that: The specific operation steps of the slope aspect overlay analysis in step S4 include: According to the spatial position relationship, the average value of the slope and slope direction within the land map is assigned to the land map; The land patches are screened according to the slope and aspect, including: The slope value is between 0° and 90°, and the land patches with a value greater than 40° are eliminated; The slope aspect Value is between 0° and 360°, and the land patches between 135° and 225° are extracted.

5. The method for screening large-area photovoltaic land according to claim 1, characterized in that: The specific operation steps of the concentration analysis and screening in step S5 include: S51. Grouping of plots: Grouping the land within 50m of the boundary of the plots into one plot; S52. Cluster analysis: Eliminate clusters with installed capacity less than 1MW; S53. Considering the area of ​​the land patches within the cluster and the spatial distance between the land patches, the concentration credibility value of the cluster is calculated, the concentration credibility value threshold is input, and the clusters whose concentration credibility values ​​meet the threshold conditions are screened as the priority areas for large-area photovoltaic land use.

6. The method for screening large-area photovoltaic land according to claim 5, characterized in that: The specific operation steps of calculating the concentration credibility value of the cluster block in step S53 include: The area S of n land patches in the preset cluster i The spatial distance L between (i≤n) and the land patch, and the expression of the concentration credible value T is: Among them, α, γ and β are influencing factors. Initially, α, β and γ are set to 0.5, 0.3 and 0.8 respectively. j is the maximum land patch area, L max is the distance between the largest land patch and the farthest land patch, L min It is the distance between the largest land patch and the nearest land patch.

7. A computer-readable storage medium, characterized in that: A computer program is stored, and when the computer program is executed by a processor, the processor is caused to execute the steps of the method according to any one of claims 1 to 6.

8. A computer device, characterized in that: The method comprises a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor executes the steps of the method according to any one of claims 1 to 6.

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