Method and device for analyzing and calculating reservoir capacity by using DEM (Digital Elevation Model)

Abstract

The invention provides a method and device for analyzing and calculating reservoir capacity by using a digital elevation model (DEM), and relates to the technical field of capacity estimation.The method comprises the steps that original digital elevation model (DEM) data is cut to obtain DEM data of a reservoir area, and the DEM data is supplemented according to high-precision map data; fusing topographic map data with the DEM data to obtain fused reservoir DEM data; and calculating the submerged area and the reservoir capacity under each water level condition based on the fused reservoir DEM data. The DEM data is supplemented through the high-precision map data and the topographic map data, the calculation of the submerged area and the reservoir capacity under each water level condition is realized, the overlarge calculation error caused by insufficient map precision is avoided, and the accuracy of reservoir capacity analysis is improved.

Description

Technical Field

[0001] The present application relates to the technical field of capacity estimation, and in particular to a method and device for analyzing and calculating reservoir capacity using DEM. Background Art

[0002] Reservoir capacity is one of the important parameters in the design and management of water conservancy projects. Traditional methods of calculating reservoir capacity require a lot of field surveys and cross-section data, which is time-consuming and labor-intensive. Digital Elevation Model (DEM) can provide high-resolution terrain data and provide accurate basic data for reservoir capacity calculation, but DEM data also has the problem of insufficient accuracy, which reduces the accuracy of reservoir capacity analysis. Summary of the invention

[0003] The present application aims to solve one of the technical problems in the related art at least to some extent.

[0004] To this end, the first purpose of this application is to propose a method for analyzing and calculating reservoir capacity using DEM.

[0005] The second object of the present application is to provide a device.

[0006] The third objective of the present application is to provide an electronic device.

[0007] A fourth objective of the present application is to provide a computer-readable storage medium.

[0008] A fifth object of the present application is to provide a computer program product.

[0009] To achieve the above purpose, the first embodiment of the present application proposes a method for analyzing and calculating reservoir capacity using DEM, including:

[0010] The original digital elevation model DEM data is clipped to obtain the DEM data of the reservoir area, and the DEM data is supplemented according to the high-precision map data;

[0011] Fusing the topographic map data with the DEM data to obtain fused reservoir DEM data;

[0012] The flooded area and reservoir capacity under various water level conditions are calculated based on the fused reservoir DEM data.

[0013] Optionally, the supplementing of the DEM data according to the high-precision map data includes:

[0014] Clipping the topographic map data of the reservoir area to obtain reservoir topographic map data;

[0015] Generate a local DEM by interpolating the discrete contour data of the reservoir topographic map data;

[0016] The generated local DEM is superimposed with the DEM data of the reservoir area to generate the fused reservoir DEM data.

[0017] Optionally, the method further includes:

[0018] The boundary position in the fused reservoir DEM data is smoothed and filtered.

[0019] Optionally, the calculating the submerged area and reservoir capacity under various water level conditions based on the fused reservoir DEM data includes:

[0020] According to the designed water level of the reservoir, the elevation range of the reservoir is layered at certain intervals;

[0021] At each elevation level, the contour lines corresponding to the water level are extracted to obtain the boundaries of the submerged area under different water levels;

[0022] Calculate the area of ​​the polygon enclosed by each layer of contour lines and record the flooded area at each water level.

[0023] Optionally, the calculating the submerged area and reservoir capacity under various water level conditions based on the fused reservoir DEM data includes:

[0024] The water level interval is accumulated according to the trapezoidal area method. The formula is:

[0025]

[0026] Among them, A(H i ) and A(H i -1) are water level H i and H i-1 The corresponding flooded area; H i and H i-1 is the adjacent water level height;

[0027] The reservoir capacity increment from the lowest water level to the target water level is accumulated to obtain the total reservoir capacity of the target water level. The formula is as follows:

[0028]

[0029] Among them, V(H n ) is the target water level H n The increase in storage capacity.

[0030] Optionally, a water level-reservoir capacity curve is drawn, and the reservoir capacity characteristics of the reservoir at different water levels are determined based on the curve.

[0031] To achieve the above-mentioned purpose, the second embodiment of the present application proposes a device for analyzing and calculating reservoir capacity using DEM, comprising:

[0032] A data acquisition module is used to clip the original digital elevation model DEM data to obtain the DEM data of the reservoir area, and to supplement the DEM data according to the high-precision map data;

[0033] A fusion module, used for fusing the topographic map data with the DEM data to obtain fused reservoir DEM data;

[0034] The analysis and calculation module is used to calculate the submerged area and reservoir capacity under various water level conditions based on the fused reservoir DEM data.

[0035] To achieve the above-mentioned purpose, the third aspect of the present application provides an electronic device, including: a processor, and a memory communicatively connected to the processor;

[0036] The memory stores computer-executable instructions;

[0037] The processor executes the computer-executable instructions stored in the memory to implement the method as described in any one of the first aspects.

[0038] To achieve the above-mentioned purpose, the fourth aspect embodiment of the present application proposes a computer-readable storage medium, in which computer-readable storage medium is stored computer execution instructions, and when the computer execution instructions are executed by a processor, they are used to implement the method as described in any one of the first aspects.

[0039] To achieve the above-mentioned purpose, the fifth aspect of the present application proposes a computer program product, which implements any method in the first aspect when executed by a processor.

[0040] The method, device, electronic device and storage medium provided in the present application for reservoir capacity analysis and calculation using DEM supplement the DEM data with high-precision map data and topographic map data, thereby realizing the calculation of the flooded area and reservoir capacity under various water level conditions, avoiding excessive calculation errors caused by insufficient map accuracy, and improving the accuracy of reservoir capacity analysis.

[0041] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through the practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0043] Figure 1A schematic diagram of a method for analyzing and calculating reservoir capacity using DEM provided in an embodiment of the present application;

[0044] Figure 2 A schematic diagram of the structure of a device for analyzing and calculating reservoir capacity using DEM provided in an embodiment of the present application. DETAILED DESCRIPTION

[0045] Embodiments of the present application are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present application, and should not be construed as limiting the present application.

[0046] Reservoir capacity is one of the important parameters in the design and management of water conservancy projects. Traditional methods for calculating reservoir capacity require a large amount of field surveys and cross-sectional data, which is time-consuming and laborious. With the development of remote sensing and GIS technology, the use of digital elevation models (DEMs) to quickly calculate reservoir capacity has become an effective way. DEM can provide high-resolution terrain data and provide accurate basic data for reservoir capacity calculation. If there are some measured topographic map data in the research reservoir area, especially high-precision topographic map data, it can provide supplementary information in areas with low DEM resolution or incomplete coverage, thereby improving the accuracy of reservoir capacity calculation. The present invention proposes a reservoir capacity analysis method based on DEM, which calculates the capacity of each layer through layered processing and numerical integration, forms a water level-area-capacity relationship curve, and provides a reference for reservoir design and management.

[0047] The present application embodiment provides a method for analyzing and calculating reservoir capacity using DEM. Figure 1 The flowchart of a method for using DEM to analyze and calculate reservoir capacity is provided in the embodiment of the present application. Figure 1 As shown, the method comprises the following steps:

[0048] Step 101, clipping the original digital elevation model DEM data to obtain DEM data of the reservoir area, and supplementing the DEM data according to high-precision map data;

[0049] Step 102, fusing the topographic map data with the DEM data to obtain fused reservoir DEM data;

[0050] Step 103, calculating the flooded area and reservoir capacity under various water level conditions based on the fused reservoir DEM data.

[0051] In this embodiment, DEM is the abbreviation of Digital Elevation Model, which is a common geographic data model in Geographic Information System (GIS) for representing the elevation information of the earth's surface. DEM records the height values ​​of each point on the surface in a gridded manner, and can be used to simulate terrain, analyze landform features, etc. DEM provides rich data support for all walks of life through digital simulation of terrain and landforms. It is not only an "elevation map", but also an important tool for geographical analysis, simulation and prediction.

[0052] The main application areas of DEM include but are not limited to:

[0053] Terrain analysis: including slope analysis, aspect analysis, curvature analysis, shadow analysis, viewshed analysis and watershed analysis, etc. These analyses have important applications in land suitability assessment, soil erosion risk, landslide monitoring, infrastructure construction site selection, etc.

[0054] Disaster prevention and mitigation: DEM plays an important role in flood simulation, landslide prediction, earthquake impact assessment and fire spread simulation.

[0055] Military use: DEM is also used in battlefield simulation and military mapping to help make tactical decisions and assist troop operations.

[0056] Engineering construction: In the field of engineering construction, DEM can be used for terrain analysis and planning.

[0057] Hydrology, meteorology, geology, soil and other fields: DEM provides important elevation information support for research in these fields.

[0058] DEM is a kind of physical ground model, which mainly contains the ground elevation information. Compared with the digital surface model (DSM), DSM not only contains the terrain elevation information, but also covers the height information of surface buildings, bridges, trees, etc.

[0059] Step 101 data preparation includes:

[0060] DEM data acquisition: Select high-resolution DEM data, such as SRTM, ASTER GDEM, LiDAR and other data sources. DEM resolution directly affects the accuracy of reservoir capacity calculation, so it is particularly important to select an appropriate resolution.

[0061] Data clipping: Clip the DEM data to the reservoir area to ensure that only terrain data related to the reservoir is retained.

[0062] Topographic map data acquisition: Use high-precision topographic maps to supplement the missing or insufficiently accurate DEM data in the reservoir area. Ensure that the topographic map data contains the key topographic features of the reservoir.

[0063] Coordinate conversion and unit standardization: Ensure that the coordinate system of the DEM data is consistent with the reservoir-related data, and unify the elevation unit to meters.

[0064] Optionally, the step 101 supplements the DEM data according to the high-precision map data, including:

[0065] Clipping the topographic map data of the reservoir area to obtain reservoir topographic map data;

[0066] Generate a local DEM by interpolating the discrete contour data of the reservoir topographic map data;

[0067] The generated local DEM is superimposed with the DEM data of the reservoir area to generate the fused reservoir DEM data.

[0068] In this embodiment, the specific process of generating a local DEM by interpolating the discrete contour data of the reservoir topographic map data is as follows:

[0069] Data preprocessing:

[0070] First, the discrete contour data needs to be converted into point sets, which contain the coordinates and elevation information of each point on the contour line.

[0071] These point sets are preprocessed, including finding the minimum and maximum values ​​in the XY axis direction and compressing the data range to avoid the data range span being too large or too small, resulting in dense or sparse data distribution.

[0072] Select an interpolation method:

[0073] Choose an appropriate interpolation method based on the characteristics and requirements of the data. Common interpolation methods include Kriging interpolation, inverse distance weighted (IDW) interpolation, bilinear interpolation, cubic spline interpolation, radial basis function interpolation, etc.

[0074] For example, bilinear interpolation is a commonly used method that calculates the elevation value of an unknown point by taking a weighted average of the elevation values ​​of the four nearest neighboring points.

[0075] Interpolation calculation:

[0076] Using the selected interpolation method, the elevation value of each unknown point is calculated. For example, Inverse Distance Weighted (IDW): It is a commonly used and simple spatial interpolation method. The core idea is that things that are closer to each other are more similar than things that are farther away from each other. When interpolating, the IDW method uses the measured values ​​around the predicted location, and the measured values ​​closest to the predicted location have a greater impact on the predicted value. The calculation process of IDW interpolation is based on the following assumption: each measured point has a local influence, and this influence decreases with the increase of distance. Therefore, for any predicted location, the IDW method assigns weights according to its distance from the surrounding measured points, and the weight is inversely proportional to the distance.

[0077] Specifically, the calculation formula of IDW interpolation can be expressed as:

[0078]

[0079] Generate DEM: where z is the value of the predicted location, z i is the value of the ith measurement point, d i is the distance between the predicted position and the i-th measurement point, and p is the power parameter, which is usually taken as 2.

[0080] The elevation values ​​obtained by interpolation calculation are arranged according to a certain grid spacing to form a DEM matrix.

[0081] Save this matrix as a DEM file, usually in a raster format such as GeoTIFF.

[0082] In practical applications, IDW interpolation can be implemented through geographic information system (GIS) software such as ArcGIS. Users need to import scattered point and vector boundary data, set interpolation parameters, including power, search radius, etc., and then perform IDW interpolation to obtain the interpolation result.

[0083] Generate DEM:

[0084] The elevation values ​​obtained by interpolation calculation are arranged according to a certain grid spacing to form a DEM matrix.

[0085] Save this matrix as a DEM file, usually in a raster format such as GeoTIFF.

[0086] Verification and correction:

[0087] Verify the generated DEM and check the rationality and accuracy of the interpolation results.

[0088] If necessary, the DEM is corrected to ensure that it conforms to the actual terrain characteristics.

[0089] Optionally, a priority can be set to prioritize interpolated data in topographic map areas and fill other areas with original DEM data.

[0090] Optionally, the method further includes:

[0091] The boundary position in the fused reservoir DEM data is smoothed and filtered.

[0092] In this embodiment, during the fusion process, the DEM and the topographic map may have mutations at the boundary. A smoothing filter technique (such as Gaussian filtering) is used to smooth the boundary of the fused elevation data to ensure the continuity of the data in the transition area.

[0093] Optionally, the calculating the submerged area and reservoir capacity under various water level conditions based on the fused reservoir DEM data includes:

[0094] According to the designed water level of the reservoir, the elevation range of the reservoir is divided into layers at certain intervals (such as 0.5m or 1m);

[0095] At each elevation level, the contour lines corresponding to the water level are extracted to obtain the boundaries of the submerged area under different water levels;

[0096] Calculate the area of ​​the polygon enclosed by each layer of contour lines and record the flooded area at each water level.

[0097] Optionally, the calculating the submerged area and reservoir capacity under various water level conditions based on the fused reservoir DEM data includes:

[0098] The water level interval is accumulated according to the trapezoidal area method. The formula is:

[0099]

[0100] Among them, A(H i ) and A(H i -1) are water level H i and H i-1 The corresponding flooded area; H i and H i-1 is the adjacent water level height;

[0101] The reservoir capacity increment from the lowest water level to the target water level is accumulated to obtain the total reservoir capacity of the target water level. The formula is as follows:

[0102]

[0103] Among them, V(H n ) is the target water level H n The increase in storage capacity.

[0104] Optionally, a water level-reservoir capacity curve is drawn, and the reservoir capacity characteristics of the reservoir at different water levels are determined based on the curve.

[0105] In a possible embodiment, the water level range is set from a minimum water level of 50 meters to a maximum water level of 100 meters, with an interval of 1 meter. The process is as follows:

[0106] Data preparation and alignment: Obtain reservoir DEM and some topographic map data, and perform cropping and interpolation fusion.

[0107] Layered extraction and area calculation: Extract contour lines of 50 to 100 meters layer by layer and calculate the flooded area at each water level.

[0108] Reservoir capacity calculation: Calculate the reservoir capacity increment at each water level from 50 m to 100 m using the trapezoidal method to obtain a water level-reservoir capacity data table.

[0109] Curve drawing and analysis: Draw the water level-reservoir capacity curve to analyze the reservoir capacity characteristics at different water levels.

[0110] In practical applications, the fused DEM model has significantly improved the accuracy of reservoir capacity calculation. When the elevation data is discontinuous or the resolution is insufficient, the use of topographic map data for supplementation and interpolation can reduce the errors caused by insufficient data. At the same time, smoothing ensures the integrity and continuity of the model, which helps to improve the reliability of the calculation results.

[0111] In future work, the accuracy of the method can be further verified by combining measured reservoir capacity data, and the calculation efficiency can be improved by optimizing the algorithm. The accuracy of reservoir capacity estimation can be further improved through high-resolution DEM and detailed topographic map data, providing more accurate data support for reservoir design and management.

[0112] In order to implement the above embodiment, the present application also proposes a device for analyzing and calculating reservoir capacity using DEM. Figure 2 The schematic diagram of the structure of a device for analyzing and calculating reservoir capacity using DEM provided in the embodiment of the present application. Figure 2 As shown, the device comprises:

[0113] The data acquisition module 210 is used to clip the original digital elevation model DEM data to obtain the DEM data of the reservoir area, and supplement the DEM data according to the high-precision map data;

[0114] A fusion module 220 is used to fuse the topographic map data with the DEM data to obtain fused reservoir DEM data;

[0115] The analysis and calculation module 230 is used to calculate the submerged area and reservoir capacity under various water level conditions based on the fused reservoir DEM data.

[0116] In order to implement the above embodiments, the present application also proposes an electronic device, comprising: a processor, and a memory communicatively connected to the processor; the memory stores computer-executable instructions; the processor executes the computer-executable instructions stored in the memory to implement the method provided by the above embodiments.

[0117] In order to implement the above embodiments, the present application also proposes a computer-readable storage medium, in which computer-executable instructions are stored. When the computer-executable instructions are executed by a processor, they are used to implement the methods provided by the above embodiments.

[0118] In order to implement the above embodiments, the present application also proposes a computer program product, including a computer program, which implements the methods provided by the above embodiments when executed by a processor.

[0119] The collection, storage, use, processing, transmission, provision and disclosure of user personal information involved in this application are in compliance with relevant laws and regulations and do not violate public order and good morals.

[0120] It should be noted that personal information from users should be collected for legitimate and reasonable purposes and should not be shared or sold outside of these legitimate uses. In addition, such collection / sharing should be carried out after receiving the user's informed consent, including but not limited to notifying the user to read the user agreement / user notice and sign the agreement / authorization including authorization of relevant user information before the user uses the function. In addition, any necessary steps should be taken to protect and safeguard access to such personal information data and ensure that others who have access to personal information data comply with its privacy policy and procedures.

[0121] The present application is expected to provide an implementation scheme for users to selectively block the use or access of personal information data. That is, the present disclosure is expected to provide hardware and / or software to prevent or block access to such personal information data. Once the personal information data is no longer needed, the risk can be minimized by limiting data collection and deleting the data. In addition, when applicable, such personal information is de-identified to protect the privacy of the user.

[0122] In the description of the aforementioned embodiments, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0123] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In the description of this application, the meaning of "plurality" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0124] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, fragment or portion of code comprising one or more executable instructions for implementing the steps of a custom logical function or process, and the scope of the preferred embodiments of the present application includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in the reverse order depending on the functions involved, which should be understood by technicians in the technical field to which the embodiments of the present application belong.

[0125] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute the instructions), or in combination with these instruction execution systems, devices or apparatuses. For the purpose of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in combination with these instruction execution systems, devices or apparatuses. More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk box (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), a fiber optic device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium and then editing, interpreting or processing in other suitable ways if necessary, and then stored in a computer memory.

[0126] It should be understood that the various parts of the present application can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0127] A person skilled in the art may understand that all or part of the steps in the method for implementing the above-mentioned embodiment may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment.

[0128] In addition, each functional unit in each embodiment of the present application may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0129] The storage medium mentioned above may be a read-only memory, a magnetic disk or an optical disk, etc. Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limiting the present application. A person of ordinary skill in the art may change, modify, replace and modify the above embodiments within the scope of the present application.

Claims

1. A method for analyzing and calculating reservoir capacity using DEM, characterized in that: The following steps are involved: The original digital elevation model DEM data is clipped to obtain the DEM data of the reservoir area, and the DEM data is supplemented according to the high-precision map data; Fusing the topographic map data with the DEM data to obtain fused reservoir DEM data; The flooded area and reservoir capacity under various water level conditions are calculated based on the fused reservoir DEM data.

2. The method according to claim 1, characterized in that The DEM data is supplemented according to the high-precision map data, including: Clipping the topographic map data of the reservoir area to obtain reservoir topographic map data; Generate a local DEM by interpolating the discrete contour data of the reservoir topographic map data; The generated local DEM is superimposed with the DEM data of the reservoir area to generate the fused reservoir DEM data.

3. The method according to claim 2, characterized in that The method further comprises: The boundary position in the fused reservoir DEM data is smoothed and filtered.

4. The method according to claim 3, characterized in that The calculating of the submerged area and reservoir capacity under various water level conditions based on the fused reservoir DEM data includes: According to the designed water level of the reservoir, the elevation range of the reservoir is layered at certain intervals; At each elevation level, the contour lines corresponding to the water level are extracted to obtain the boundaries of the submerged area under different water levels; Calculate the area of ​​the polygon enclosed by each layer of contour lines and record the flooded area at each water level.

5. The method according to claim 4, characterized in that The calculating of the submerged area and reservoir capacity under various water level conditions based on the fused reservoir DEM data includes: The water level interval is accumulated according to the trapezoidal area method. The formula is: Among them, A(H i ) and A(H i -1) are water level H i and H i-1 The corresponding flooded area; H i and H i-1 is the adjacent water level height; The reservoir capacity increment from the lowest water level to the target water level is accumulated to obtain the total reservoir capacity of the target water level. The formula is as follows: Among them, V(H n ) is the target water level H n The increase in storage capacity.

6. The method according to claim 5, characterized in that The method further comprises: A water level-reservoir capacity curve is drawn, and the reservoir capacity characteristics of the reservoir at different water levels are determined based on the curve.

7. A device for analyzing and calculating reservoir capacity using DEM, characterized in that: include: A data acquisition module is used to clip the original digital elevation model DEM data to obtain the DEM data of the reservoir area, and to supplement the DEM data according to the high-precision map data; A fusion module, used for fusing the topographic map data with the DEM data to obtain fused reservoir DEM data; The analysis and calculation module is used to calculate the submerged area and reservoir capacity under various water level conditions based on the fused reservoir DEM data.

8. An electronic device, characterized in that: include: A processor, and a memory communicatively connected to the processor; The memory stores computer-executable instructions; The processor executes the computer-executable instructions stored in the memory to implement the method according to any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions, which are used to implement the method according to any one of claims 1 to 6 when executed by a processor.

10. A computer program product, characterized in that The invention comprises a computer program, which implements the method according to any one of claims 1 to 6 when being executed by a processor.

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