Test methods and apparatus for evaluating the effectiveness of vegetation restoration on silty coastlines

Abstract

This invention discloses an experimental method and apparatus for testing the effect of vegetation restoration on silty coastlines, belonging to the field of coastal ecological restoration technology. The method includes: establishing a numerical model of the vegetation restoration area; collecting environmental elements of the target sea area; simulating and verifying the numerical model of the vegetation restoration area to obtain model calculation parameters; constructing a vegetation restoration numerical model based on the numerical model of the vegetation restoration area using water flow reduction effect and topographic reduction effect, and performing topographic simulation of the vegetation restoration effect to obtain vegetation restoration calculation results; selecting typical cross-sections in the vegetation restoration area, using a siltation propagation velocity model to calculate the siltation propagation velocity of each cross-section after vegetation restoration, calculating the comprehensive propagation velocity after vegetation planting and restoration, and testing the coastal vegetation restoration effect. This method, by combining numerical simulation and measured data, can scientifically and efficiently test the vegetation restoration effect on silty coastlines, providing reliable technical support for coastal ecological restoration projects.

Description

Technical Field

[0001] This application relates to the field of coastal ecological restoration technology, and in particular to a test method and apparatus for testing the restoration effect of vegetation on silty coastlines. Background Technology

[0002] Silt-rich coastlines are susceptible to erosion and siltation due to tides, waves, and sediment transport, leading to ecosystem degradation. Vegetation restoration is a crucial means of improving the stability and ecological function of silt-rich coastlines; however, a scientific and efficient method for evaluating restoration effectiveness is currently lacking. Traditional methods primarily rely on field observations and physical models, which are costly, difficult to implement, and time-consuming, and fail to comprehensively reflect the impact of vegetation restoration on hydrodynamics and sediment transport. Therefore, an experimental method combining numerical simulation and measured data is urgently needed to accurately predict and evaluate the effects of vegetation restoration, providing a scientific basis for coastal ecological restoration projects. Summary of the Invention

[0003] In view of this, the embodiments of this application provide a test method and apparatus for testing the vegetation restoration effect of silty coastlines. By establishing a numerical model and calculating the siltation advance rate, the vegetation restoration effect can be evaluated efficiently and quantitatively, which has important engineering application value.

[0004] According to a first aspect of the embodiments of this application, a test method for testing the effect of vegetation restoration on silty coastlines is provided, comprising:

[0005] To determine the location of the silty coastline, identify the target sea area, select the simulation range, and establish a numerical model of the vegetation restoration area;

[0006] Based on the characteristics of the vegetation restoration area, collect environmental elements of the target sea area;

[0007] Based on the aforementioned environmental factors, the numerical model of the vegetation restoration area was simulated and verified to obtain the model calculation parameters.

[0008] Based on the model calculation parameters, a vegetation restoration numerical model is constructed using water flow reduction effect and topographic reduction effect on the basis of the numerical model of the vegetation restoration area, and the topographic simulation of the vegetation restoration effect is carried out to obtain the vegetation restoration calculation results.

[0009] Based on the vegetation restoration calculation results, typical cross-sections were selected in the vegetation restoration area, and the sedimentation advance rate model was used to calculate the sedimentation advance rate of each cross-section after vegetation restoration.

[0010] Based on the siltation advance rate of each cross section, calculate the overall advance rate after vegetation planting and restoration;

[0011] The combined propulsion speed was used to test the coastal vegetation restoration effect.

[0012] According to a second aspect of the embodiments of this application, a test apparatus for testing the effect of vegetation restoration on silty coastlines is provided, comprising:

[0013] The modeling module is used to obtain the location of the silty coastline, determine the target sea area, select the simulation range, and establish a numerical model of the vegetation restoration area.

[0014] The element collection module is used to collect environmental elements of the target sea area based on the characteristics of the vegetation restoration area;

[0015] The simulation verification module is used to simulate and verify the numerical model of the vegetation restoration area based on the environmental factors, and obtain the model calculation parameters.

[0016] The modeling and calculation module is used to construct a vegetation restoration numerical model based on the model calculation parameters, using water flow reduction effect and topographic reduction effect on the basis of the vegetation restoration area numerical model, and to perform topographic simulation of vegetation restoration effect to obtain vegetation restoration calculation results.

[0017] The first calculation module is used to select typical cross-sections in the vegetation restoration area based on the vegetation restoration calculation results, and use the siltation advance rate model to calculate the siltation advance rate of each cross-section after vegetation restoration.

[0018] The second calculation module is used to calculate the overall advancement speed after vegetation planting and restoration based on the siltation advancement speed of each cross section.

[0019] The testing module is used to test the coastal vegetation restoration effect using the comprehensive propulsion speed.

[0020] According to a third aspect of the embodiments of this application, an electronic device is provided, comprising:

[0021] One or more processors;

[0022] Memory, used to store one or more programs;

[0023] When the one or more programs are executed by the one or more processors, the one or more processors perform the method as described in the first aspect.

[0024] According to a fourth aspect of the embodiments of this application, a computer-readable storage medium is provided that stores computer instructions thereon, which, when executed by a processor, implement the steps of the method as described in the first aspect.

[0025] The technical solutions provided by the embodiments of this application may include the following beneficial effects:

[0026] 1. High scientific rigor and accuracy: This invention combines numerical simulation and measured environmental data to establish a vegetation restoration model and calculate the siltation propagation rate, which can more accurately predict the siltation-promoting effect of vegetation restoration on silty coasts. Compared with traditional empirical assessment methods, it is more scientific and reliable.

[0027] 2. High efficiency and convenience, reducing costs: By replacing some physical model tests and long-term field observations with numerical simulation, the test cycle is significantly shortened, and the input of manpower and material resources is reduced. It is suitable for rapid evaluation and optimization design of large-scale coastal restoration projects.

[0028] 3. Strong applicability and good scalability: This method can adjust model parameters according to the environmental characteristics of different silty coasts, and is applicable to a variety of vegetation restoration scenarios, providing universal technical support for coastal ecological restoration projects.

[0029] It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and do not limit this application. Attached Figure Description

[0030] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.

[0031] Figure 1 This is a schematic flowchart illustrating an experimental method for testing the effect of vegetation restoration on silty coastlines, according to an exemplary embodiment.

[0032] Figure 2 This is a top view of a vegetation restoration area shown according to an exemplary embodiment.

[0033] Figure 3 This is a longitudinal section view of a vegetation restoration area shown according to an exemplary embodiment.

[0034] Figure 4 This is a schematic diagram of the structure of an experimental apparatus for testing the effect of vegetation restoration on silty coastlines, according to an exemplary embodiment.

[0035] Figure 5 This is a schematic diagram of the structure of an electronic device according to an exemplary embodiment. Detailed Implementation

[0036] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numbers in different drawings denote the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this application as detailed in the appended claims.

[0037] The terminology used in this application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. The singular forms “a,” “the,” and “the” used herein are also intended to include the plural forms unless the context clearly indicates otherwise. It should also be understood that the term “and / or” as used herein refers to and includes any and all possible combinations of one or more of the associated listed items.

[0038] Figure 1 This is a flowchart illustrating an exemplary method for testing the effectiveness of vegetation restoration on silty coastlines, as shown in an exemplary embodiment. Figure 1 As shown, the method may include the following steps:

[0039] S1: Obtain the location of the silty coastline, determine the target sea area, select the simulation range, and establish a numerical model of the vegetation restoration area;

[0040] Specifically, the silty coastline is located in a certain city, and the target sea area is located in a certain sea area to be restored within a certain port; the numerical model M1 of the vegetation restoration area includes a hydrodynamic numerical model and a seabed erosion and deposition numerical model, and the open-source program FVCOM or commercial software MIKE can be selected; the simulation range, that is, the location of the silty coastline to be studied needs to be placed in the center of the model range, so that the area to be studied can be far away from the influence of the boundary, which is conducive to improving the accuracy of subsequent tests.

[0041] S2: Collect environmental elements of the target sea area based on the characteristics of the vegetation restoration area;

[0042] Specifically, the vegetation restoration area is characterized by suitable temperature, a gentle silty intertidal zone, regular semi-diurnal tides, and moderate tidal range. Therefore, mangrove planting is chosen for restoration. The planting density and elevation are determined according to the design plan, such as a planting density of 0.5m × 0.5m and a planting elevation of 2.3m. The environmental elements include the topography (D0) of the area to be restored, the water level (Z0), flow velocity (V0), flow direction (R0), and sediment concentration (S0) at representative measuring points in the area. The topography (D0) data of the area to be restored can be observed using drones or observation vessels. Observations should be conducted with a combination of density and sparseness. Large-scale observations can use a scale of 1:5000 or 1:10000, while topography within 2 km of the vegetation restoration area boundary should use a scale of 1:200 or 1:500 to prevent insufficient topographic data in the vegetation front area, which would lead to low accuracy in subsequent calculations based on numerical simulation results and affect the accuracy of sedimentation testing.

[0043] The representative measuring points are arranged within 500m of the outer boundary of the vegetation restoration area, and should be able to represent the water flow and sediment characteristics of the area.

[0044] S3: Based on the environmental factors, the numerical model of the vegetation restoration area is simulated and verified to obtain the model calculation parameters;

[0045] Specifically, the numerical model simulation verification of the vegetation restoration area requires verification of the water level process, flow velocity, flow direction, and sediment content among the environmental elements, and the verification must meet the requirements of the "Technical Specification for Simulation Experiment of Water Transport Engineering". The model calculation parameter C0 includes the tidal boundary, the flow calculation parameter field, and the sediment calculation parameter field. The tidal boundary includes the harmonic constant value or the water level process value. The flow calculation parameter field includes the bottom friction coefficient field, the bottom friction coefficient field, and the eddy viscosity coefficient field. The sediment calculation parameter field includes the sediment settling velocity field, the sediment diffusion coefficient field, the sediment scour coefficient field (or the critical sediment scour shear stress field), and the sediment deposition coefficient field (or the critical sediment deposition shear stress field).

[0046] S4: Based on the model calculation parameters, on the basis of the numerical model of the vegetation restoration area, a vegetation restoration numerical model is constructed using the water flow reduction effect and the topography reduction effect, and the topography simulation of the vegetation restoration effect is performed to obtain the vegetation restoration calculation results.

[0047] Specifically, the vegetation restoration numerical model M2 needs to be based on the vegetation restoration area numerical model M1, and adopt the water flow reduction effect and topographic reduction effect, such as the change in roughness of the vegetation area, the change in water depth of the vegetation area, and the change in tidal volume of the vegetation area. For example, the bottom roughness of the area changes from 0.015 before planting to 0.04, and the elevation changes from 0.6m to 2.3m. In this way, the vegetation restoration engineering measures can be accurately generalized, and the accuracy of subsequent tests can be improved.

[0048] The topographic simulation of the vegetation restoration effect requires inputting the above parameters into a mathematical model to calculate the velocity changes in the vegetation restoration area. Based on the hydrodynamic changes caused by vegetation restoration, the sediment erosion and deposition state of the bed surface is then calculated. The increase or decrease in the intensity of the dynamic changes the sediment erosion and deposition value of the bed surface, thereby affecting the restoration and deposition effect. For example, if the elevation point in front of the restoration area is 0.12m, the average flow velocity of the water flow decreases from 0.13m / s to 0.05m / s, which promotes sediment deposition in the vegetation restoration area, resulting in deposition of the bed surface, with an annual deposition of 0.08m.

[0049] S5: Based on the vegetation restoration calculation results, select typical cross-sections in the vegetation restoration area, and use the siltation advance velocity model to calculate the siltation advance velocity of each cross-section after vegetation restoration.

[0050] Specifically, typical cross-sections should be selected based on the location of the vegetation restoration area. The cross-section (parallel to the shoreline) should cover the evaluation range of the restoration area, and the longitudinal section (perpendicular to the shoreline) should cover the characteristic line of the test effect.

[0051] The siltation propulsion velocity model uses the following formula:

[0052] ;

[0053] In the formula, The predicted sedimentation advance rate at section i; i is the section number; It is the elevation difference of the monitoring points on section i; It predicts the elevation of monitoring point i at section i; This is the original elevation of monitoring point i at section i; It represents the horizontal coordinates of the contour lines on section i before siltation; It predicts the horizontal coordinates of the same contour line on section i; It is the slope angle of the cross section; It is the horizontal advance distance of the contour line at section i; It is a time interval;

[0054] Specifically, a 0.2m contour line is taken as the characteristic line in front of the vegetation restoration area. Based on the calculation results of the vegetation restoration model, typical cross-sections 1, 2, ..., i-1, i, i+1, ... are selected. Figure 2 Based on the siltation propagation speed model, the siltation propagation distance and speed for each cross-section (section 1, section 2, ..., section i-1, section i, section i+1, ...) are calculated. For example, if a 0.2m contour line moves from position Z1 before vegetation restoration to position Z2 after vegetation restoration, the elevation difference between the monitoring points is 0.12m, the propagation distance is 5.3m, and the propagation speed is 5.3m / year. Figure 3 ).

[0055] S6: Calculate the overall advancement speed after vegetation planting and restoration based on the siltation advancement speed of each cross section;

[0056] Specifically, if the siltation distribution in the area is uniform, the cross-section arrangement is uniform and can represent the siltation status of the entire vegetation area. Therefore, the average siltation advance rate of each cross-section can be used as the comprehensive advance rate.

[0057] If there are significant regional differences, the cross-section layout will no longer be uniform. In this case, a weight can be assigned to the sedimentation propagation velocity of each cross-section i. The values ​​are assigned after evaluation based on spatial coverage, regional importance, and representativeness, and the total weight should be 1.

[0058] The spatial coverage refers to a weighted average based on the distance between adjacent cross sections. Areas with larger cross section spacing are assigned higher weights (because they represent a larger shoreline area); areas with smaller spacing are assigned lower weights; for example, the distance between adjacent cross sections (L) can be used as the basis for the weighting.

[0059]

[0060] In the formula, n is the total number of cross sections, and Li represents the shoreline length (m) represented by the i-th cross section.

[0061] Specifically, the regional importance (sensitivity) refers to the fact that different areas of the vegetation restoration zone have different ecological values, engineering purposes, or siltation sensitivity (e.g., whether they are key protected core habitats or buffer zones), and the cross sections within these areas can be assigned higher weights; for example, the weight coefficient for the core area is 0.3, and the weight coefficient for the ordinary area is 0.1.

[0062] The representativeness assessment refers to assessing, based on preliminary investigations (such as topography, substrate, and hydrology), which section is more representative of the typical state of the vegetation restoration area and assigning it a higher weight.

[0063] The overall progress rate of vegetation restoration in the area can be calculated using the following formula. :

[0064] .

[0065] Specifically, since the distribution of each cross section is uniform, the average siltation advance rate of each cross section is used as the comprehensive advance rate. Based on the calculated advance distances of 5.32m, 5.3m, 5.18m, 5.09m, and 5.14m for the five cross sections, the comprehensive advance rate is 5.21m / year.

[0066] S7: Using the aforementioned combined propulsion speed, test the effect of coastal vegetation restoration;

[0067] Specifically, by utilizing the comprehensive advancement speed and according to the required time scale for testing, the test values ​​of vegetation restoration siltation effect are obtained, which can then be used to guide vegetation restoration in the area. For example, based on the comprehensive advancement speed of the mangrove planting area, the siltation effect over two years was obtained, with a siltation advancement speed of 5.21 m / year and a siltation advancement distance of 10.42 m at the 0.2 m characteristic line.

[0068] Corresponding to the aforementioned embodiments of the test method for testing the effect of vegetation restoration on silty coastlines, this application also provides embodiments of a test apparatus for testing the effect of vegetation restoration on silty coastlines.

[0069] Figure 4 This is a block diagram of an experimental apparatus for testing the effectiveness of vegetation restoration on silty coastlines, according to an exemplary embodiment. (Refer to...) Figure 4 The device includes, including:

[0070] Modeling module 1 is used to obtain the location of the silty coastline, determine the target sea area, select the simulation range, and establish a numerical model of the vegetation restoration area.

[0071] Element collection module 2 is used to collect environmental elements of the target sea area based on the characteristics of the vegetation restoration area;

[0072] The simulation verification module 3 is used to perform simulation verification on the numerical model of the vegetation restoration area based on the environmental factors, and obtain the model calculation parameters.

[0073] Modeling and calculation module 4 is used to construct a vegetation restoration numerical model based on the model calculation parameters and the numerical model of the vegetation restoration area, using the water flow reduction effect and the topography reduction effect, and to perform topographic simulation of the vegetation restoration effect to obtain the vegetation restoration calculation results.

[0074] The first calculation module 5 is used to select typical cross-sections in the vegetation restoration area based on the vegetation restoration calculation results, and use the siltation advance speed model to calculate the siltation advance speed of each cross-section after vegetation restoration.

[0075] The second calculation module 6 is used to calculate the overall advancement speed after vegetation planting and restoration based on the siltation advancement speed of each section.

[0076] Test module 7 is used to test the coastal vegetation restoration effect using the comprehensive propulsion speed.

[0077] Regarding the apparatus in the above embodiments, the specific manner in which each module performs its operation has been described in detail in the embodiments related to the method, and will not be elaborated upon here.

[0078] For the device embodiments, since they basically correspond to the method embodiments, the relevant parts can be referred to in the description of the method embodiments. The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this application according to actual needs. Those skilled in the art can understand and implement this without creative effort.

[0079] Accordingly, this application also provides an electronic device, comprising: one or more processors; a memory for storing one or more programs; and, when the one or more programs are executed by the one or more processors, causing the one or more processors to implement the experimental method described above for testing the vegetation restoration effect on silty coastlines. Figure 5 The diagram shown is a hardware structure diagram of any device with data processing capabilities, used in an embodiment of the present invention to test the effect of vegetation restoration on silty coastlines. (Except for...) Figure 5In addition to the processor, memory, DMA controller, disk, and non-volatile memory shown, any data processing device in the embodiment may also include other hardware depending on the actual function of the data processing device, which will not be described in detail here.

[0080] Accordingly, this application also provides a computer-readable storage medium storing computer instructions thereon, which, when executed by a processor, implement the experimental method described above for testing the vegetation restoration effect on silty coastlines. The computer-readable storage medium can be an internal storage unit of any data-processing device as described in any of the foregoing embodiments, such as a hard disk or memory. The computer-readable storage medium can also be an external storage device, such as a plug-in hard disk, smart media card (SMC), SD card, flash card, etc., equipped on the device. Furthermore, the computer-readable storage medium can include both internal storage units of any data-processing device and external storage devices. The computer-readable storage medium is used to store the computer program and other programs and data required by the data-processing device, and can also be used to temporarily store data that has been output or will be output.

[0081] Other embodiments of this application will readily occur to those skilled in the art upon consideration of the specification and practice of the disclosure herein. This application is intended to cover any variations, uses, or adaptations of this application that follow the general principles of this application and include common knowledge or customary techniques in the art not disclosed herein. The specification and embodiments are to be considered exemplary only.

[0082] It should be understood that this application is not limited to the precise structure described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope.

Claims

1. A test method for testing the effect of vegetation restoration on a muddy coast, characterized by, include: To determine the location of the silty coastline, identify the target sea area, select the simulation range, and establish a numerical model of the vegetation restoration area; Based on the characteristics of the vegetation restoration area, collect environmental elements of the target sea area; Based on the aforementioned environmental factors, the numerical model of the vegetation restoration area was simulated and verified to obtain the model calculation parameters. Based on the model calculation parameters, a vegetation restoration numerical model is constructed using water flow reduction effect and topographic reduction effect on the basis of the numerical model of the vegetation restoration area, and the topographic simulation of the vegetation restoration effect is carried out to obtain the vegetation restoration calculation results. Based on the vegetation restoration calculation results, typical cross-sections were selected in the vegetation restoration area, and the sedimentation advance rate model was used to calculate the sedimentation advance rate of each cross-section after vegetation restoration; the sedimentation advance rate model uses the following formula: ； wherein, is the predicted advance velocity of the cross-section i; i is the cross-section number; is the elevation difference of the monitoring point on the cross-section i; is the predicted monitoring point elevation on the cross-section i; is the original monitoring point elevation on the cross-section i; is the horizontal position coordinate of the contour line on the cross-section i before the deposition; is the horizontal position coordinate of the same contour line on the cross-section i after the deposition; is the slope angle of the cross-section i; is the horizontal advance distance of the contour line at the cross-section i; is the time interval; Based on the siltation advance rate of each cross-section, the overall advance rate after vegetation planting and restoration is calculated. The overall advance rate needs to be determined using a weighted average method according to the cross-section layout, and then the weighted average is calculated to obtain the overall siltation advance rate after coastal vegetation restoration. The weight values ​​for the weighting need to be determined in conjunction with spatial coverage, regional importance, or regional representativeness assessment. Spatial coverage refers to weighting based on the distance between adjacent cross-sections; areas with larger cross-section spacing are assigned higher weights. Areas with smaller spacing are assigned lower weights; the importance of the area refers to assigning higher weights to cross sections within different areas of the vegetation restoration zone based on their ecological value, engineering purpose, or siltation sensitivity. The representativeness assessment refers to assessing, based on preliminary investigations, which cross-section is more representative of the typical state of the vegetation restoration area and assigning it higher weight. The combined propulsion speed was used to test the coastal vegetation restoration effect.

2. The method of claim 1, wherein, The numerical model for the vegetation restoration area includes a hydrodynamic numerical model and a seabed erosion and deposition numerical model.

3. The method of claim 1, wherein, The environmental elements include the topography D0 of the area to be restored, the water level Z0 of representative measuring points in the area to be restored, the flow velocity V0, the flow direction R0, and the sediment content S0.

4. The method of claim 1, wherein, The model calculation parameters include tidal boundary, flow calculation parameter field, and sediment calculation parameter field.

5. A test device for testing the effect of vegetation restoration of a muddy coast, characterized by include: The modeling module is used to obtain the location of the silty coastline, determine the target sea area, select the simulation range, and establish a numerical model of the vegetation restoration area. The element collection module is used to collect environmental elements of the target sea area based on the characteristics of the vegetation restoration area; The simulation verification module is used to simulate and verify the numerical model of the vegetation restoration area based on the environmental factors, and obtain the model calculation parameters. The modeling and calculation module is used to construct a vegetation restoration numerical model based on the model calculation parameters, using water flow reduction effect and topographic reduction effect on the basis of the vegetation restoration area numerical model, and to perform topographic simulation of vegetation restoration effect to obtain vegetation restoration calculation results. The first calculation module is used to select typical cross-sections in the vegetation restoration area based on the vegetation restoration calculation results, and calculate the sedimentation rate of each cross-section after vegetation restoration using a sedimentation rate model; the sedimentation rate model uses the following formula: ； wherein, is the predicted advance velocity of the cross section i; i is the cross section number; is the elevation difference of the monitoring point on the cross section i; is the predicted monitoring point elevation on the cross section i; is the original monitoring point elevation on the cross section i; is the horizontal position coordinate of the contour line on the cross section i before the deposition; is the horizontal position coordinate of the same contour line on the cross section i after the deposition; is the slope angle of the cross section i; is the horizontal advance distance of the contour line at the cross section i; is the time interval; The second calculation module is used to calculate the overall siltation advance rate after vegetation planting and restoration based on the siltation advance rate of each cross-section. The overall advance rate needs to be determined using a weighted average method according to the cross-section layout, and then the weighted average is calculated to obtain the overall siltation advance rate after coastal vegetation restoration. The weight values ​​of the weighting need to be determined in combination with spatial coverage, regional importance, or regional representativeness assessment. Spatial coverage refers to weighting based on the distance between adjacent cross-sections; areas with larger cross-section spacing are assigned higher weights. Areas with smaller spacing are assigned lower weights; the importance of the area refers to assigning higher weights to cross sections within different areas of the vegetation restoration zone based on their ecological value, engineering purpose, or siltation sensitivity. The representativeness assessment refers to assessing, based on preliminary investigations, which cross-section is more representative of the typical state of the vegetation restoration area and assigning it higher weight. The testing module is used to test the coastal vegetation restoration effect using the comprehensive propulsion speed.

6. An electronic device, characterized in that, include: One or more processors; Memory, used to store one or more programs; When the one or more programs are executed by the one or more processors, the one or more processors implement the method as described in any one of claims 1-4.

7. A computer-readable storage medium storing computer instructions thereon, characterized in that, When executed by the processor, this instruction implements the steps of the method as described in any one of claims 1-4.

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