Method and system for generating gobi surface gravel form according to input parameters and application

Abstract

The invention discloses a method and system for generating a gobi surface gravel form according to input parameters and application. The method comprises the following steps: acquiring multi-source data including surface gravel images shot at multiple angles in a surrounding manner and actual measurement data of a form; establishing a three-dimensional model, and obtaining three-dimensional data; comparing the measured data with the three-dimensional data for verification; performing statistical analysis on the relative frequency to obtain a fitting curve and fitting parameters; drawing up input parameters by referring to the surface gravel image and the corresponding fitting parameters; and simulating and generating three-dimensional surface gravel according to the input parameters. The technical scheme provided by the invention considers that the structure of the gravel is three-dimensional, the provided result can more truly reflect the morphological characteristics of the gravel, the characteristics of the gobi gravel in a large range can be more efficiently analyzed, and the method is not only suitable for gobi with known surface types, but also suitable for unknown gobi surface gravels, and has a good application prospect. And a quantitative basis can be provided for research and analysis of new gobi types.

Description

Technical Field

[0001] The present invention relates to the technical field of parameterized characterization methods for Gobi gravel surfaces, and in particular to a method, system and application for generating Gobi surface gravel morphology according to input parameters. Background Art

[0002] my country has a vast Gobi Desert, on whose surface a great number of infrastructures have been built, and a large number of mineral resources and renewable energy sources such as wind and solar energy have been developed and constructed. However, at the same time, the Gobi Desert is subject to strong physical weathering and wind erosion, and the sand and dust produced by it can damage infrastructure and cause long-distance sand transport to northern cities in my country, leading to serious natural disasters.

[0003] Unlike sandy surfaces, the Gobi surface can inhibit wind erosion and dust generation to a certain extent due to the presence of gravel. Therefore, the study of different types of gravel morphology on the Gobi surface is of great significance for controlling natural disasters in the Gobi region and is also helpful for analyzing the development environment and process of the Gobi region.

[0004] Current research and simulations are mainly aimed at sandy surfaces. Various macroscopic and microscopic situations have been studied, and ground reconstruction and state simulation can be achieved through software or programming. However, for gravel surfaces, because there are gravels of different sizes interlaced with each other, they are not all homogeneous, and it is difficult to observe and restore their state on a large scale. Therefore, there are only macroscopic observations, such as changes in wind and sand flows, and it is impossible to restore the Gobi surface under different conditions, nor to reconstruct and simulate it. Moreover, current research on the Gobi is almost only aimed at two-dimensional planes, and it is impossible to obtain three-dimensional morphological features. This is not applicable to the study of the complex three-dimensional situation of the Gobi surface due to the overlapping of gravel. Only by obtaining three-dimensional morphological features can the real surface be more comprehensively and accurately reflected. Summary of the invention

[0005] In view of the deficiencies in the prior art, the present invention aims to provide a method, system and application for generating Gobi surface gravel morphology according to input parameters.

[0006] In order to achieve the above-mentioned invention object, the technical solution adopted by the present invention includes:

[0007] In a first aspect, the present invention provides a method for generating Gobi surface gravel morphology according to input parameters, comprising:

[0008] Acquire multi-source data, wherein the multi-source data includes surface gravel images taken at multiple angles around a preset area and measured data reflecting the morphology of the surface gravel;

[0009] Establishing a three-dimensional model based on the surface gravel image, and obtaining three-dimensional data capable of reflecting the morphology of the surface gravel from the three-dimensional model;

[0010] Comparing the measured data with the three-dimensional data, and verifying the three-dimensional data;

[0011] Utilizing the verified three-dimensional data to obtain a plurality of sub-items, perform statistical analysis on relative frequencies, and obtain a fitting curve reflecting parameter distribution in the sub-items and fitting parameters corresponding to the fitting curve;

[0012] Referring to the surface gravel image obtained in the preset area and its corresponding fitting parameters, input parameters are formulated;

[0013] According to the input parameters, three-dimensional surface gravel is simulated and generated.

[0014] In a second aspect, the present invention also provides an application of the above method in the analysis and / or study of gravel morphology on the Gobi surface.

[0015] In a third aspect, the present invention further provides a system for generating Gobi surface gravel morphology according to input parameters, comprising:

[0016] A data acquisition module, used to acquire multi-source data, wherein the multi-source data includes surface gravel images taken at multiple angles around a preset area and measured data reflecting the morphology of the surface gravel;

[0017] A three-dimensional modeling module, used to establish a three-dimensional model based on the surface gravel image, and obtain three-dimensional data that can reflect the morphology of the surface gravel from the three-dimensional model;

[0018] A data verification module, used to compare the measured data with the three-dimensional data and verify the three-dimensional data;

[0019] A statistical fitting module, used to perform a statistical analysis of relative frequencies using multiple sub-items in the three-dimensional data that have passed verification, to obtain a fitting curve reflecting the parameter distribution in the sub-items and fitting parameters corresponding to the fitting curve;

[0020] An input parameter module, used for outputting the surface gravel image obtained in the preset area and its corresponding fitting parameters, and receiving the proposed input parameters;

[0021] The three-dimensional simulation module is used to simulate and generate three-dimensional surface gravel according to the input parameters.

[0022] Based on the above technical solution, compared with the prior art, the beneficial effects of the present invention include:

[0023] The method provided by the present invention is based on the basic gravel data and its derivative data measured in three dimensions, establishes a mathematical model according to the fitting results, takes the gravel picture and the corresponding mathematical model parameters as an example, sets new parameters with reference to the example, and obtains the gravel surface morphology that meets the new parameters; the technical solution provided takes into account that the structure of gravel is three-dimensional, and the results provided can more truly reflect the morphological characteristics of gravel, and can more efficiently analyze the characteristics of gravel in a large range of Gobi deserts. It is not only applicable to Gobi with known surface types, but also to unknown Gobi surface gravel, and can provide a quantitative basis for the research and analysis of new Gobi types.

[0024] The above description is only an overview of the technical solution of the present invention. In order to enable those skilled in the art to more clearly understand the technical means of the present application and implement them according to the contents of the specification, the following is a description of the preferred embodiments of the present invention in conjunction with detailed drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 It is a schematic flow chart of a method for generating Gobi surface gravel morphology provided by a typical implementation case of the present invention;

[0026] Figure 2 It is a statistical chart for verifying three-dimensional data provided by a typical implementation case of the present invention;

[0027] Figure 3 It is a schematic diagram of the process of establishing a three-dimensional model provided by a typical implementation case of the present invention;

[0028] Figure 4 This is a morphological image of gravel on the Gobi surface measured in a typical implementation case of the present invention;

[0029] Figure 5 It is a morphological image of simulated Gobi surface gravel formed according to input parameters provided in a typical implementation case of the present invention. DETAILED DESCRIPTION

[0030] In view of the deficiencies in the prior art, the inventor of this case has proposed the technical solution of the present invention after long-term research and extensive practice. The technical solution, its implementation process and principle will be further explained as follows.

[0031] In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention may also be implemented in other ways different from those described herein. Therefore, the protection scope of the present invention is not limited to the specific embodiments disclosed below.

[0032] Moreover, relational terms such as “first” and “second” are merely used to distinguish one component or method step from another with the same name, but do not necessarily require or imply any such actual relationship or order between these components or method steps.

[0033] In response to the problems mentioned above, the present invention integrates the currently obtained data to obtain different gravel conditions of the underlying surfaces of different Gobi deserts, obtains formulas and parameters with strong universality as examples, and uses new parameters with reference to known parameters to obtain new Gobi surface gravel forms, which can stereoscopically reflect the three-dimensional form of gravel, and the new parameters formulated based on the reference example parameters are adjusted to meet the gravel distribution characteristics under natural conditions, and can be adaptively adjusted according to the needs of research or simulation analysis, meet the needs of research and analysis, and avoid the risk of misleading research and analysis because the gravel model simulated by a series of parameters arbitrarily formulated without example reference does not conform to the laws of nature.

[0034] Based on the above objectives and ideas, an embodiment of the present invention provides a method for generating Gobi surface gravel morphology according to input parameters, which includes the following steps:

[0035] Acquire multi-source data, wherein the multi-source data includes surface gravel images taken at multiple angles around a preset area and measured data reflecting the morphology of the surface gravel;

[0036] Establishing a three-dimensional model based on the surface gravel image, and obtaining three-dimensional data capable of reflecting the morphology of the surface gravel from the three-dimensional model;

[0037] Comparing the measured data with the three-dimensional data, and verifying the three-dimensional data;

[0038] Using the verified three-dimensional data to obtain multiple sub-items, perform statistical analysis on relative frequencies, and obtain fitting curves reflecting parameter distribution in the sub-items and fitting parameters corresponding to the fitting curves;

[0039] Referring to the surface gravel image obtained in the preset area and its corresponding fitting parameters, input parameters are formulated;

[0040] According to the input parameters, three-dimensional surface gravel is simulated and generated.

[0041] In the prior art, the state of gravel in a certain area is usually studied through measured data, but the measured data is not all representative gravels in the area, and cannot reflect the overall characteristics of all gravels. This is also the disadvantage of the measurement method. Although the measured results are the most accurate for some gravel types that have been measured, they can often only measure a part of the gravel. Although all the gravel in the area is to be measured, the manpower, material resources and time consumed will be greatly increased.

[0042] Using the above technical solution, after three-dimensional modeling is performed based on the reference fitting parameters to define the input parameters to obtain a three-dimensional surface gravel model, although it is impossible to accurately restore the gravel characteristics one-to-one like the measured data, after continuous verification by the inventors, the correlation coefficient between the two is basically >0.95, which can be used to reflect the gravel characteristics of different regions, and can more conveniently and quickly analyze more gravels and wider areas.

[0043] In specific practical work, gravels in several areas have been measured, and scanned to form a three-dimensional model, and then input parameters are formulated to form a new gravel model, which can obtain a Gobi morphology different from the current measured examples. After obtaining the new gravel model, it can reflect the characteristics of different regions. The existing measured three-dimensional data can only characterize the characteristics of a small part of the Gobi surface types, while the characteristics of most other Gobi surfaces were not obtained at the time of field sampling at the beginning, and it is difficult to sample and measure all types. This is because the changes in the Gobi surface are very complex. Even in the same type of area, the Gobi surface in different locations may cause differences in surface gravel distribution and morphology due to various reasons such as wind direction and terrain. Only a few limited sample plots are used to represent all surface types, which will produce a large deviation. This requires adjusting the mathematical parameters based on the existing examples to get as close as possible to the expected surface type. The above-mentioned technical solution provided by the present invention is formally based on the statistics of the existing gravel characteristics to guide the newly modeled gravel model to avoid simulating and generating negative samples that do not conform to the law of gravel evolution.

[0044] In addition, the pre-processing steps of the traditional method are very cumbersome, and whether it is field sampling, photography, or remote sensing sampling, it is impossible to directly obtain gravel characteristic information, and a large amount of post-processing work is required. The geographical range of the obtained samples is also relatively limited, which is very disadvantageous for some urgent work that requires large-scale surface morphology assessment, such as the site selection and construction of public transportation. The method provided by the embodiment of the present invention can be used to obtain large-scale surface characteristics through parameters conveniently and quickly without the need for complicated processing. This method can be used to compare completely unknown surfaces in the field in real time to obtain approximate surface characteristics, so as to guide the overall judgment of the area.

[0045] As for some specific implementation details in each step, in some embodiments, the surface gravel image includes sampling marks placed around the actual surface gravel, and the size of the sampling marks is known; the measured data includes the three-dimensional axis diameter and roundness data of the surface gravel measured manually, and the three-dimensional axis diameter includes a-axis diameter: the maximum diameter of the surface gravel, b-axis diameter: the maximum diameter on the maximum flat surface of the surface gravel perpendicular to the a-axis, and c-axis diameter: the maximum diameter perpendicular to the maximum flat surface.

[0046] In some embodiments, the three-dimensional data includes basic data and derived data, the basic data includes three-dimensional axis diameters of surface gravels extracted from the three-dimensional model, and the derived data is calculated from the three-dimensional axis diameters.

[0047] In some embodiments, the derived data include flattening, sphericity coefficient, particle size, and aspect ratio, but are not limited thereto. The above-mentioned derived data are a part commonly used by the inventors of the present invention in practice, and the relevant data that can reflect the shape of gravel obtained based on the three-dimensional axial diameter calculation are all within the scope of the derived data used in the present invention.

[0048] In some embodiments, the process of verifying the three-dimensional data specifically includes:

[0049] Acquire measured data of real gravel corresponding to any of the three-dimensional data;

[0050] Conduct correlation test on the obtained three-dimensional data and measured data, and calculate the correlation coefficient;

[0051] When the correlation coefficient is above a preset value, the three-dimensional data verification is passed.

[0052] The measured results are only part of the gravel, and the obtained three-dimensional model includes all the gravel in the sample plot. However, because we have numbered the measured gravel and taken 360° photos of the gravel for three-dimensional modeling, we can match the measured gravel with the gravel in the three-dimensional model one by one. We can first measure the gravel corresponding to the number and then verify it. The correlation test between the measured data and the three-dimensional data shows that the correlation coefficient is greater than 0.95, indicating that there is a strong positive linear correlation between the field measurement value and the three-dimensional measurement value, indicating that there is a close proportional relationship between the two variables. This means that the field measurement value can be accurately predicted based on the three-dimensional measurement value, and it also shows that the measurement method used is highly reliable. Therefore, the three-dimensional measurement results can be used as a basis for predicting the gravel particle size, and more data can be measured in subsequent processing for parameterized characterization. Derivative data such as roundness and sphericity are calculated based on the abc axis data of the three-dimensional measurement (the supplementary formula is shown in the following table), so they can also characterize the characteristics of the gravel.

[0053] In some embodiments, the fitting curve is represented by:

[0054]

[0055] Wherein, y represents the relative frequency of the corresponding sub-item; y 0 represents the base value when x approaches 0; x represents the parameter value corresponding to the sub-item; A represents the amplitude; x c represents the central value; w represents the standard deviation. Of course, the fitting curves and parameters are based on the data involved in the current research. In different studies, other fitting curves and formulas can also be used, and are not limited to the specific examples of the present invention. The key point is that when setting parameters, they must be set according to the mathematical parameters in the same fitting formula, so that consistent corresponding relationships and change rules can be used to guide modeling.

[0056] In some embodiments, the process of formulating the input parameters specifically includes:

[0057] Selecting a target region and a target sub-item, and obtaining fitting parameters of the target sub-item corresponding to the target region;

[0058] The parameter values ​​of the similar sub-items in the input parameters are made to be approximate to the fitting parameters of the target sub-items.

[0059] The approximation means that the floating range is within a certain ratio, such as 10% floating up and down, or for some double-digit values, rounding operations are performed, etc. The specific way to adjust the input parameters can be to find the target area by the similarity between the image characteristics of the gravel model to be generated (such as the gravel morphology of unknown surface observed in the field, or the gravel morphology to be generated) and the gravel image of the target area, and find the one with the most similarity between the actual images of multiple target areas and the expected image of the gravel model to be proposed, and select it as the target area.

[0060] As a specific application example, if one wants to quickly obtain the quantitative morphological features of an unknown Gobi surface based on the technical solution provided by the present invention, one can first observe the provided picture and the surface to be observed, and compare them based on the similarity of gravel size and shape, and then select a similar image. Then, based on the parameters provided by the existing image, one can understand what the change in each mathematical parameter means. The mathematical parameters of the existing image that can characterize the physical parameters have been listed, so the desired effect can be achieved based on the existing mathematical parameters. During the adjustment process, attention should be paid to the range of numerical values.

[0061] In another case, if you want to create a new Gobi surface that meets certain special settings, you need to first sort out the approximate requirements for gravel morphology, such as particle size range, gravel quantity, gravel distribution, gravel shape, etc., and then observe the provided pictures to see if there are any pictures similar to the settings, check the changes in its mathematical parameters and the correspondence with physical parameters, and then make flexible adjustments under the guidance of parameter rules.

[0062] In some embodiments, the process of establishing a three-dimensional model based on the surface gravel image specifically includes:

[0063] Aligning a plurality of the surface gravel images to generate a sparse point cloud;

[0064] constructing a dense point cloud based on the sparse point cloud;

[0065] The three-dimensional model is formed using the dense point cloud.

[0066] In the study area, representative plots were selected, which showed significant differences in gravel coverage and particle size. Around each plot, two original Gobi surfaces without artificial disturbance were randomly selected as sampling points to ensure the representativeness of the sample points and to ensure that the characteristics of gravel shape, coverage and particle size are sufficiently varied, and the particle size characteristics of the surface of these sample points were recorded.

[0067] The Gobi surface was photographed using a digital camera for photogrammetry. First, a sampling frame was placed on the selected sample point, and the range of the sampling point and the size of the surface gravel were marked. Then, the camera was used to collect images of the surface within the sampling frame at different heights and angles.

[0068] A 3D modeling software based on SfM technology was used to generate a 3D model of the surface gravel. The specific steps are as follows: First, the required photos were imported into the software and aligned to generate a sparse point cloud. Subsequently, a high-precision dense point cloud was constructed. Next, a 3D model was generated using the dense point cloud, and the azimuth and the length of the three axes a, b, and c of the gravel were measured using the ruler tool built into the software. The three-axis length data can be used to calculate the 3D morphological parameters of the gravel, such as flattening, sphericity, aspect ratio, and particle size.

[0069] After obtaining the three-dimensional model generated by the existing pictures, the triaxial data of some gravels were measured based on the three-dimensional model, and the derived data, namely the sphericity, particle size, flatness and other physical parameters, were calculated based on the triaxial data. Then, for each physical parameter, the scatter plot of each physical parameter was drawn through the origin software, and different types of nonlinear curve fitting were performed based on the scatter plot. The Akaike information criterion (AIC) and adjusted R of different nonlinear curve fittings after fitting were compared. 2 , the smaller the AIC, the better the R 2 The closer to 1, the better the fitting effect. Through nonlinear fitting of the data of all sample plots, the fitting curve closest to the physical parameter is obtained. Its formula and mathematical parameters are used as indicators to represent the changed physical parameters, and the fitting results and mathematical parameters of each sample plot are obtained. The changes in these mathematical parameters are often related to their morphological differences. According to the rules, their approximate connection is obtained, and then as a reference, the parameters that meet your needs are obtained. The differences can be fine-tuned, and finally a simulated Gobi surface that meets expectations is obtained. If you want to compare with an existing surface, if the morphology is very similar, then the mathematical parameters used in the simulation are also very close to the mathematical parameters of this surface, which can be used as a real-time reference.

[0070] As some typical examples of the above technical solution, the above method mainly includes the following processes:

[0071] 1. Acquire multi-source data in the field, the data including original image data for constructing a three-dimensional model obtained by photographing the gravel surface at different heights at 360° (placing a sampling frame on the selected sample point to mark the range of the sampling point and the size of the surface gravel), and obtaining the measured data of the abc axis and roundness of the gravel through manual measurement and visual judgment; of course, the technical method provided by the present invention is mainly a process of processing the obtained data, and does not necessarily include the process of field measurement and photographing, that is, the starting step of the method provided by the present invention can be the data input step after the field photographing and measuring action.

[0072] 2. Preprocess the image data, use the SfM method to obtain gravel point cloud data through the gravel picture, and construct a three-dimensional model of the gravel surface. The model can measure the abc axis of the gravel, and then obtain derived data such as flattening, sphericity coefficient, particle size, aspect ratio, etc. The data is obtained from the basic data (abc axis);

[0073] 3. Compare the measured data with the 3D data to verify the accuracy of the 3D data. The 3D measurement data is highly correlated with the measured data, indicating that the 3D measurement data can be used to characterize the Gobi surface gravel;

[0074] 4. Perform relative frequency statistics on the statistical data involved in the physical parameters (basic data and derived data) to obtain relative percentages;

[0075] 5. Obtain the best fitting curve based on the relative percentage, use GaussAmp to fit, and obtain the corresponding formulas and mathematical parameters of the formulas;

[0076] 6. According to the obtained fitting mathematical parameters, correspond them to the changes of physical parameters, and obtain the difference and correlation between the mathematical parameters and the corresponding physical parameters of each example;

[0077] 7. According to the gravel image of the example provided and the range of reference parameters, manually adjust and formulate new input parameters;

[0078] 8. The gravel is simulated by the existing generation simulation model according to the existing probability and formula, and is reflected in a three-dimensional overall shape. The basic shape and parameters of the gravel can be observed and obtained in the obtained three-dimensional shape.

[0079] The above method takes into account that the structure of gravel is three-dimensional. Compared with the traditional two-dimensional measurement method, the three-dimensional model can more realistically reflect the morphological characteristics of gravel. At the same time, compared with the traditional manual measurement, it can more efficiently analyze the characteristics of gravel in a large range of Gobi. And this method is not only applicable to Gobi with known surface types, but also to gravel on the surface of unknown Gobi. This method learns the morphological characteristics of existing gravel samples and applies them to the generation of new models, thereby ensuring the authenticity and diversity of the generated model, and can more accurately reflect the morphological characteristics of real gravel.

[0080] Furthermore, the embodiments of the present invention also provide the application of the above method in the analysis and / or research of gravel morphology on the Gobi surface. The method and its application proposed by the present invention can achieve the maximum restoration of the gravel morphology on the Gobi surface while saving a lot of manpower and time, and can also provide quantitative basis for new Gobi types.

[0081] The technical solution of the present invention is further described in detail below through several embodiments and in conjunction with the accompanying drawings. However, the selected embodiments are only used to illustrate the present invention, and do not limit the scope of the present invention.

[0082] Example 1

[0083] This embodiment illustrates a method for generating Gobi surface gravel morphology according to input parameters. Figure 1The specific process is as follows: (1) Obtain multi-source data in the field. The data includes 360° shooting of the gravel surface at different heights to obtain the original image data for building a three-dimensional model (placing a sampling frame on the selected sample point to mark the range of the sampling point and the size of the surface gravel), and obtaining the measured data of the gravel abc axis and roundness through manual measurement and visual judgment;

[0084] (2) Preprocessing the image. Use the SfM method to obtain gravel point cloud data from the gravel image and construct a three-dimensional model of the gravel surface. The model can obtain the abc axis of the gravel, and then obtain derived data such as flattening, sphericity coefficient, particle size, aspect ratio, etc. The data is obtained from the basic data (abc axis);

[0085]

[0086] (3) Comparing the measured data with the 3D data, the accuracy of the 3D data was verified. The 3D measurement data was highly correlated with the measured data, indicating that the 3D measurement data can be used to characterize the Gobi surface gravel.

[0087] (4) performing relative frequency statistics on the statistical data related to the physical parameters to obtain relative percentages;

[0088] (5) Obtain the best fitting curve based on the relative percentage, and obtain the corresponding formula and mathematical parameters of the formula. GaussAmp fitting was used: The mathematical parameters are:

[0089]

[0090] (6) According to the obtained fitting mathematical parameters, they are matched with the changes in physical parameters to obtain the difference between the mathematical parameters and the corresponding physical parameters of each example. Specifically, it is to give an intuitive reference based on the existing examples, and each parameter A, Xc, W, y 0 When the value changes, how will the physical parameters change accordingly? For example, Xc represents the x value corresponding to the maximum value of the function, that is, the gravel parameter has the largest proportion when Xc is used. For example, the Xc values ​​of the A axis of plot 1 and plot 2 are 31.973 and 20.897 respectively, which means that the proportion of large gravels in plot 1 is greater than that in plot 2, and the proportion of small gravels in plot 2 is greater than that in plot 1.

[0091] (7) Adjust your own mathematical parameters according to the provided example images and reference parameter ranges. For example, if the value of the A axis of the new gravel shape with the largest proportion needs to be similar to that of plot 1, then set the Xc value of the A axis to be similar to that of plot 1. The Xc value of plot 1 is 31.973, and the new Xc value of the A axis can be 32; and so on, until all parameters are set.

[0092] (8) Input the parameters in step 7 and generate a three-dimensional model based on the three-dimensional simulation code. The basic shape and parameters of the gravel can be observed and obtained in the obtained three-dimensional shape.

[0093] Example 2

[0094] This embodiment uses the basic method provided in Example 1 as a basis to perform a process of simulating the weathering of gravel of a known surface type, as shown below:

[0095] The idea is to modify the parameters directly based on the existing images without the need for post-processing after taking photos and sampling, saving time and manpower. Currently, there are data from 7 sample plots, which should be directly used as a reference. The gravel morphology and distribution have relatively large differences.

[0096] For example, collect images and data of surface gravel in all sample plots, use the above steps to obtain its basic data and derived data, and analyze the statistical parameter values ​​of each data sub-item of each sample plot.

[0097] The table shows the parameter data of each sub-item of plot 1

[0098]

[0099] If you want to obtain the surface gravel information from the non-sample area of ​​​​plot 1, you can refer to the parameter values ​​of plot 1. The 3D model generated by the real-shot image of plot 1 can be found in Figure 4 As shown in the figure, considering that the wind speed in the area is higher, the average maximum diameter of the gravel will gradually decrease during the weathering process, and the corresponding sphericity will gradually increase. Therefore, the Xc value of the maximum diameter A axis is adjusted to decrease from 31.973 to 29, and the Xc value of the sphericity coefficient is adjusted to increase from 0.596 to 0.65.

[0100] The final simulation results are as follows: Figure 5 As shown, it provides a reference for understanding the gravel weathering process.

[0101] Example 3

[0102] This embodiment uses the basic method provided in Example 1 as a basis to perform a process of simulating the weathering of gravel of unknown surface type, as shown below:

[0103] For example, collect images and data of surface gravel in all sample plots, use the above steps to obtain its basic data and derived data, and analyze the statistical parameter values ​​of each data sub-item of each sample plot.

[0104] A possible surface type may be between sample plot 1 and sample plot 2, and has a certain connection with both. Then the value of the new simulation parameter is set equal to the weighted average of the corresponding parameters of sample plot 1 and sample plot 2.

[0105] The following table shows the parameter data of each sub-item of sample plot 1 and sample plot 2

[0106]

[0107] The following table shows the parameter data of the new plot to be generated:

[0108]

[0109] The final simulation result has the same quality as the simulation image in the previous embodiment, and can be used as a reference for simulating and analyzing the gravel morphology of new surface types.

[0110] Based on the above embodiments, it can be clearly seen that the method provided in the embodiments of the present invention is based on the basic gravel data and its derivative data measured in three dimensions, establishes a mathematical model according to the fitting results, takes the gravel picture and the corresponding mathematical model parameters as an example, sets new parameters with reference to the example, and obtains the gravel surface morphology that meets the new parameters; the technical solution provided takes into account that the structure of gravel is three-dimensional, and the results provided can more truly reflect the morphological characteristics of gravel, and can more efficiently analyze the gravel characteristics of a large range of Gobi. It is not only applicable to Gobi with known surface types, but also to unknown Gobi surface gravel, and can provide a quantitative basis for the research and analysis of new Gobi types.

[0111] It should be understood that the above embodiments are only for illustrating the technical concept and features of the present invention, and their purpose is to enable people familiar with the technology to understand the content of the present invention and implement it accordingly, and they cannot be used to limit the protection scope of the present invention. Any equivalent changes or modifications made according to the spirit of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for generating Gobi surface gravel morphology based on input parameters, characterized in that: include: Acquire multi-source data, wherein the multi-source data includes surface gravel images taken at multiple angles around a preset area and measured data reflecting the morphology of the surface gravel; Establishing a three-dimensional model based on the surface gravel image, and obtaining three-dimensional data capable of reflecting the morphology of the surface gravel from the three-dimensional model; Comparing the measured data with the three-dimensional data, and verifying the three-dimensional data; Using the verified three-dimensional data to obtain multiple sub-items, perform statistical analysis on relative frequencies, and obtain fitting curves reflecting parameter distribution in the sub-items and fitting parameters corresponding to the fitting curves; Referring to the surface gravel image obtained in the preset area and its corresponding fitting parameters, input parameters are formulated; According to the input parameters, three-dimensional surface gravel is simulated and generated.

2. The method according to claim 1, characterized in that: The surface gravel image includes sampling marks placed around actual surface gravel, and the size of the sampling marks is known; The measured data include the three-dimensional axis diameter and roundness data of the surface gravel measured manually, and the three-dimensional axis diameter includes a axis diameter: the maximum diameter of the surface gravel, b axis diameter: the maximum diameter on the maximum flat surface of the surface gravel perpendicular to the a axis, and c axis diameter: the maximum diameter perpendicular to the maximum flat surface.

3. The method according to claim 2, characterized in that The three-dimensional data includes basic data and derived data. The basic data includes the three-dimensional axis diameter of the surface gravel extracted from the three-dimensional model, and the derived data is calculated from the three-dimensional axis diameter.

4. The method according to claim 3, characterized in that: The derived data include flattening, sphericity coefficient, particle size, and aspect ratio.

5. The method according to claim 4, characterized in that The process of verifying the three-dimensional data specifically includes: Acquire measured data of real gravel corresponding to any of the three-dimensional data; Conduct correlation test on the obtained three-dimensional data and measured data, and calculate the correlation coefficient; When the correlation coefficient is above a preset value, the three-dimensional data verification is passed.

6. The method according to claim 1, characterized in that The fitting curve is expressed as: Wherein, y represents the relative frequency of the corresponding sub-item; y0 represents the basic value when x approaches 0; x represents the parameter value corresponding to the sub-item; A represents the amplitude; x c represents the central value; w represents the standard deviation.

7. The method according to claim 1, characterized in that The process of formulating the input parameters specifically includes: Selecting a target region and a target sub-item, and obtaining fitting parameters of the target sub-item corresponding to the target region; The parameter values ​​of the similar sub-items in the input parameters are made to be approximate to the fitting parameters of the target sub-items.

8. The method according to claim 1, characterized in that: The process of establishing a three-dimensional model based on the surface gravel image specifically includes: Aligning a plurality of the surface gravel images to generate a sparse point cloud; constructing a dense point cloud based on the sparse point cloud; The three-dimensional model is formed using the dense point cloud.

9. Application of the method according to any one of claims 18 in the analysis and / or study of gravel morphology on the Gobi surface.

10. A system for generating Gobi surface gravel morphology based on input parameters, characterized in that: include: A data acquisition module, used to acquire multi-source data, wherein the multi-source data includes surface gravel images taken at multiple angles around a preset area and measured data reflecting the morphology of the surface gravel; A three-dimensional modeling module, used to establish a three-dimensional model based on the surface gravel image, and obtain three-dimensional data that can reflect the morphology of the surface gravel from the three-dimensional model; A data verification module, used to compare the measured data with the three-dimensional data and verify the three-dimensional data; A statistical fitting module, used to perform a statistical analysis of relative frequencies using multiple sub-items in the three-dimensional data that have passed verification, to obtain a fitting curve reflecting the parameter distribution in the sub-items and fitting parameters corresponding to the fitting curve; An input parameter module, used for outputting the surface gravel image obtained in the preset area and its corresponding fitting parameters, and receiving the proposed input parameters; The three-dimensional simulation module is used to simulate and generate three-dimensional surface gravel according to the input parameters.

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