CN117197398B - Statistical method, device, equipment and storage medium of mine resource model - Google Patents
Statistical method, device, equipment and storage medium of mine resource model Download PDFInfo
- Publication number
- CN117197398B CN117197398B CN202311466802.7A CN202311466802A CN117197398B CN 117197398 B CN117197398 B CN 117197398B CN 202311466802 A CN202311466802 A CN 202311466802A CN 117197398 B CN117197398 B CN 117197398B
- Authority
- CN
- China
- Prior art keywords
- grid
- curved surface
- stratum
- mine
- resource model
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000007619 statistical method Methods 0.000 title claims abstract description 23
- 238000003860 storage Methods 0.000 title claims abstract description 12
- 230000011218 segmentation Effects 0.000 claims abstract description 51
- 238000000034 method Methods 0.000 claims abstract description 37
- 238000004422 calculation algorithm Methods 0.000 claims abstract description 19
- 238000005553 drilling Methods 0.000 claims description 42
- 239000011159 matrix material Substances 0.000 claims description 38
- 230000015572 biosynthetic process Effects 0.000 claims description 36
- 230000003247 decreasing effect Effects 0.000 claims description 3
- 239000007787 solid Substances 0.000 claims description 3
- 230000008569 process Effects 0.000 abstract description 15
- 238000004364 calculation method Methods 0.000 abstract description 9
- 238000012545 processing Methods 0.000 abstract description 8
- 229910052500 inorganic mineral Inorganic materials 0.000 abstract description 7
- 239000011707 mineral Substances 0.000 abstract description 7
- 230000006872 improvement Effects 0.000 description 7
- 238000004458 analytical method Methods 0.000 description 6
- 238000010586 diagram Methods 0.000 description 6
- 238000011161 development Methods 0.000 description 5
- 230000018109 developmental process Effects 0.000 description 5
- 239000004576 sand Substances 0.000 description 4
- 238000010276 construction Methods 0.000 description 3
- 230000008878 coupling Effects 0.000 description 3
- 238000010168 coupling process Methods 0.000 description 3
- 238000005859 coupling reaction Methods 0.000 description 3
- 230000006870 function Effects 0.000 description 3
- 230000000903 blocking effect Effects 0.000 description 2
- 238000004891 communication Methods 0.000 description 2
- 238000013461 design Methods 0.000 description 2
- 230000001788 irregular Effects 0.000 description 2
- 238000007726 management method Methods 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 239000004575 stone Substances 0.000 description 2
- 238000012876 topography Methods 0.000 description 2
- 230000000007 visual effect Effects 0.000 description 2
- 238000012800 visualization Methods 0.000 description 2
- 230000004075 alteration Effects 0.000 description 1
- 239000003086 colorant Substances 0.000 description 1
- 239000000428 dust Substances 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000008030 elimination Effects 0.000 description 1
- 238000003379 elimination reaction Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000011835 investigation Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 238000013439 planning Methods 0.000 description 1
- 239000000047 product Substances 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 239000002910 solid waste Substances 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 239000013589 supplement Substances 0.000 description 1
- 230000001502 supplementing effect Effects 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
Landscapes
- Geophysics And Detection Of Objects (AREA)
Abstract
The application discloses a statistical method, device, equipment and storage medium of a mine resource model, and relates to the technical field of electric digital data processing. According to the method, the characteristics that the mine resource model generated based on Civil 3D has a grid curved surface are utilized, the grid curved surface is directly used as a basis for cuboid segmentation, a segmentation unit is not required to be redefined, the characteristics that stratum layering can be obtained through survey are utilized, minerals have the characteristics that the stratum layering is achieved, the cuboid with too short height is used as an invalid mine point to be deleted, the overall boundary of the remaining cuboid is reconfirmed, and the volume in the overall boundary is calculated to be the effective mine quantity of the mine resource model. The grid network surface definition segmentation unit attached to the Civil 3D does not need manual intervention for segmentation, the whole statistical process algorithm is simple and clear, the calculation force burden of the equipment is low, and in the actual use process, the model can be updated in real time, so that the operation efficiency is improved.
Description
Technical Field
The application relates to the technical field of electric digital data processing, in particular to a statistical method, device and equipment of a mine resource model and a storage medium.
Background
Sand is an indispensable basic material in the building field, and is the second most global consumed resource after water resource. The development of the sand and stone industry in China is rough, the industrial concentration is low, the phenomena of small, scattered and messy are obvious, the problems of dust, solid waste, noise and the like are outstanding, the comprehensive utilization rate of mineral resources is low, and the phenomenon of resource waste is common. Therefore, intelligent mine construction needs to be developed, and the design, construction, operation and management level of the sand and aggregate production and processing system is continuously improved. The development of the intelligent mine requires a mine digital twin model as a model base, so that the application scenes of the whole industrial chain such as green sand stone aggregate resource development, planning and design, engineering construction, exploitation, processing production, operation management, sales and use and the like are developed.
Currently, the mainstream Mine design software includes MinePoint, deswik and 3D Mine, and the design software is completed by adopting the steps of building a three-dimensional geological model, dividing blocks, classifying the blocks and evaluating the blocks. In the practical application process, the design software needs higher calculation force support, so that the modeling efficiency of equipment with calculation force not reaching standards is low, the single data processing amount is huge to cause blocking or downtime when the model parameter is adjusted each time, and particularly, when the ore quantity statistics or analysis is performed on the built model, the response time of the equipment is overlong or the downtime can not be continuously performed when the statistics or analysis operation is performed each time, and the damage risk of the model file is increased along with the increase of the blocking or downtime, so that the running efficiency of the mineral model in the practical statistics or analysis process is lower.
Disclosure of Invention
The main purpose of the application is to provide a statistical method, a device, equipment and a storage medium of a mine resource model, so as to solve the problem of low operation efficiency of the mine resource model in the actual statistical or analysis process in the prior art.
In order to achieve the above purpose, the present application provides the following technical solutions:
a statistical method of a mine resource model generated in Civil 3D software, the mine resource model comprising at least two strata stacked in sequence, the statistical method of the mine resource model comprising:
acquiring a grid curved surface of the mine resource model, and defining the size of a segmentation unit according to the grid curved surface;
dividing each stratum from the surface to the underground into a plurality of cuboids through the dividing units;
acquiring the average height value of all cuboids, and defining the average height value as a standard height;
respectively obtaining the ratio of the height of each cuboid to the standard height;
deleting the cuboid with the ratio smaller than a preset threshold value, and marking the remaining cuboid adjacent to each other as an effective resource;
determining the boundaries of all effective resources through a sliding window algorithm, and respectively calculating the total volume of all cuboids in each boundary;
And summing all total volumes to obtain the statistical ore quantity of the mine resource model.
As a further improvement of the present application, obtaining a grid curved surface of the mine resource model, and defining a size of the segmentation unit according to the grid curved surface includes:
acquiring a grid curved surface of the mine resource model through the Civil 3D software;
obtaining a minimum unit grid of the grid curved surface;
the size of the minimum unit cell is defined as the size of the division unit.
As a further improvement of the present application, obtaining, by the Civil 3D software, a grid surface of the mine resource model includes:
acquiring characteristic parameters of the surface contour line, the stratum drilling and the stratum cross section of the mine resource model;
fitting the surface contour line, the stratum drilling hole and the stratum cross section to generate a curved surface control point file;
importing the curve control point file into the Civil 3D software and generating a terrain triangle mesh curve;
and converting the terrain triangle mesh surface into a grid surface based on the size of the segmentation unit.
As a further improvement of the present application, obtaining characteristic parameters of the surface contour line, the formation drilling and the formation cross section of the mine resource model includes:
Acquiring the surface contour line, the drilling ground coordinates of the stratum drilling and the stratum thickness of the stratum cross section through one or more of remote sensing interpretation, field engineering geological survey, unmanned aerial vehicle aerial photogrammetry and three-dimensional laser scanning;
and integrating the surface contour line, the drilling ground coordinates of the stratum drilling and the stratum thickness of the stratum cross section as the characteristic parameters.
As a further improvement of the present application, fitting the surface contour, the formation borehole, the formation cross section to generate a curved control point file includes:
outputting the characteristic parameters in AutoCAD to form a stratum model;
outputting the stratum drilling hole in the stratum model, wherein the ground coordinates of the stratum drilling hole are flush with the surface contour line;
acquiring the length of the stratum drilling hole, and outputting the length from the surface contour line to the height decreasing direction to form a complete drilling pattern;
outputting the formation cross section in the formation model based on the same elevation reference frame;
acquiring the lowest elevation value of the stratum model, and deleting a part of the stratum cross section, the elevation of which is lower than the lowest elevation value, according to the lowest elevation value;
Adding longitudinal section lines in the stratum model at intervals of a preset horizontal distance;
and deleting the part of the longitudinal section line with the height lower than the lowest elevation value according to the lowest elevation value to form the curve surface control point file.
As a further improvement of the present application, the boundaries of all the effective resources are determined by a sliding window algorithm, and the total volume of all the cuboids in each boundary is calculated respectively, including:
defining each deleted cuboid as a grid based on the current effective resource, and assigning 0;
defining each remaining cuboid as a grid, and assigning 1;
defining each grid and adjacent grids as a matrix, and respectively acquiring assigned values of all grids in each matrix;
judging whether the assigned value of the grid in each matrix is 0 or not respectively;
if so, extracting a matrix with the assigned value of 0 of the grid and taking the matrix as an edge matrix;
extracting cuboid adjacent to the deleted cuboid in each edge matrix respectively, and marking the cuboid as a boundary cuboid;
and sequentially connecting the center points of the rectangular solids of each boundary to obtain the boundary of the current effective resource.
As a further improvement of the present application, defining each grid and adjacent grids as a matrix, and respectively obtaining assigned values of all grids in each matrix, including:
Defining each grid and twenty-six grids adjacent to each grid as a 3 x 3 matrix;
the assigned values for each grid in each 3 x 3 matrix are obtained separately.
In order to achieve the above purpose, the present application further provides the following technical solutions:
a statistical apparatus of a mine resource model, which is applied to the statistical method of a mine resource model as described above, the statistical apparatus of a mine resource model comprising:
the dividing unit size definition module is used for acquiring a grid curved surface of the mine resource model and defining the size of the dividing unit according to the grid curved surface;
the cuboid segmentation module is used for respectively segmenting each stratum from the surface to the underground into a plurality of cuboids through the segmentation unit;
the standard height definition module is used for acquiring the height average value of all cuboids and defining the height average value as a standard height;
the height ratio acquisition module is used for respectively acquiring the ratio of the height of each cuboid to the standard height;
the effective resource marking module is used for deleting the cuboid with the ratio smaller than a preset threshold value and marking the remaining cuboid which are adjacent to each other as an effective resource;
The effective resource boundary determining module is used for determining the boundaries of all effective resources through a sliding window algorithm and respectively calculating the total volume of all cuboids in each boundary;
and the statistical ore quantity calculating module is used for summing all total volumes to obtain the statistical ore quantity of the mine resource model.
In order to achieve the above purpose, the present application further provides the following technical solutions:
an electronic device comprising a processor, a memory coupled to the processor, the memory storing program instructions executable by the processor; and the processor realizes the statistical method of the mine resource model when executing the program instructions stored in the memory.
In order to achieve the above purpose, the present application further provides the following technical solutions:
a storage medium having stored therein program instructions which, when executed by a processor, implement a statistical method capable of implementing a mine resource model as described above.
According to the method, the grid curved surface of the mine resource model is obtained, and the size of the segmentation unit is defined according to the grid curved surface; dividing each stratum from the surface to the underground into a plurality of cuboids through a dividing unit; acquiring the height average value of all cuboids, and defining the height average value as a standard height; respectively obtaining the ratio of the height of each cuboid to the standard height; deleting the cuboids with the ratio smaller than a preset threshold value, and marking the remaining cuboids which are adjacent to each other as an effective resource; determining the boundaries of all effective resources through a sliding window algorithm, and respectively calculating the total volume of all cuboids in each boundary; and summing all total volumes to obtain the statistical ore quantity of the mine resource model. According to the method, the characteristics that the mine resource model generated based on Civil 3D has a grid curved surface are utilized, the grid curved surface is directly used as a basis for cuboid segmentation, a segmentation unit is not required to be redefined, the characteristics that stratum layering can be obtained through survey are utilized, minerals have the characteristics that the stratum layering is achieved, the cuboid with too short height is used as an invalid mine point to be deleted, the overall boundary of the remaining cuboid is reconfirmed, and the volume in the overall boundary is calculated to be the effective mine quantity of the mine resource model. According to the method, the grid mesh surface definition segmentation unit attached to the Civil 3D is free from manual intervention and segmentation, the whole statistical process algorithm is simple and clear, so that the calculation force burden of equipment is low, in the actual use process, the model can be updated in real time, equipment running under the same condition can not be blocked, and the running efficiency is improved.
Drawings
FIG. 1 is a schematic diagram of the steps in a flow chart of one embodiment of a statistical method of a mine resource model of the present application;
FIG. 2 is a perspective view of a mine resource model according to one embodiment of a statistical method of the mine resource model of the present application;
FIG. 3 is a schematic diagram of functional modules of an embodiment of a statistical device of the mine resource model of the present application;
FIG. 4 is a schematic structural diagram of one embodiment of an electronic device of the present application;
FIG. 5 is a schematic diagram illustrating one embodiment of a storage medium of the present application.
Detailed Description
The following description of the technical solutions in the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present disclosure.
The terms "first," "second," "third," and the like in this application are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "first," "second," and "third" may explicitly or implicitly include at least one such feature. In the description of the present application, the meaning of "plurality" means at least two, for example, two, three, etc., unless specifically defined otherwise. All directional indicators (such as up, down, left, right, front, and rear … …) in the embodiments of the present application are merely used to explain the relative positional relationship, movement, etc. between the components in a particular posture (as shown in the drawings), and if the particular posture is changed, the directional indicator is correspondingly changed. Furthermore, the terms "comprise" and "have," as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those listed steps or elements but may include other steps or elements not listed or inherent to such process, method, article, or apparatus.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the present application. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.
As shown in fig. 1, the present embodiment provides an embodiment of a statistical method of a mine resource model, in which the mine resource model is generated in Civil 3D software, and the mine resource model includes at least two strata stacked in sequence.
Preferably, the steps for generating the mine resource model in this embodiment are mainly as follows:
(1) And obtaining the surface contour line, the stratum drilling and the stratum cross section of the mine mountain in a preset range through a preset strategy.
(2) Fitting the surface contour line, the stratum drilling hole and the stratum cross section to generate a curved surface control point file.
(3) And importing the curve control point file into Civil 3D and generating a terrain triangle mesh curve based on the mine mountain.
(4) Defining a grid with a preset size and converting the terrain triangle mesh surface into a grid surface.
(5) And exporting the grid curved surface into a point file in a preset format.
(6) And calculating a plurality of interpolations of all the points in the point file through a preset algorithm.
(7) And (5) guiding all the interpolation values into the curved surface of the terrain triangle network to form a mine resource model.
For the above steps (1) to (7), the present embodiment refines and supplements each step to prevent the definition and generation steps of the mine resource model in the present embodiment from being unclear:
(1) the surface contour may be directly loaded into the Global Mapper by DEM loading. The DEM (digital elevation model) can be directly obtained from a public channel (high-precision DEM terrain data downloading of 5-12-30 m nationwide).
(2) After loading the DEM into the Global Mapper, the DEM generally needs to be cut to extract the DEM of the target area before the contour line is generated. The target area data can be output by using LSV (localspace viewer, three-dimensional digital Earth software, which integrates images such as Google Earth, sky map and the like and three-dimensional landform on-line service, and the bottom development technology adopts C++, openGL. Software can quickly browse, measure, analyze and label three-dimensional geographic information data and oblique photography real scene data, and then the data is stored as KML (KML file is a landmark file created by Google corporation and is used for recording geographic information data such as time, longitude, latitude, altitude and the like of a certain place or continuous places) and then is imported into the Global map, and the target area can be directly output in the Global map.
(3) After the target area is created, polygon clipping can be performed on the DEM layer through a layer control center of the Global Mapper.
(4) After the polygon clipping is completed, the contour line generating function (line distance setting is required) of the Global Mapper can be directly used.
(5) Finally, the target area can be subjected to Gaussian projection, and the CGCS2000 standard is loaded in the Global Mapper, so that the datum point can be allocated.
(6) Most of the existing drawing software has a function of a curved surface control point, for example AutoCAD, rhino, NURBS, and the generation of the curved surface control point file is based on the conventional generation mode of the drawing software, which is not described in detail in this embodiment.
(7) The terrain curved surface DTM (Digital Terrain Model) is essentially a digital ground model, is a visual representation of a large number of three-dimensional space points on a continuous ground in a virtual space, and can be understood that DTM is a digital representation of terrain attribute information, and the attribute information of the terrain generally comprises east distance, north distance, elevation, gradient, slope direction and the like. The building of the terrain surface is a precondition for creating a building information model (building information model, building Information Modeling is a new tool for architecture, engineering and civil engineering) model of an engineering project. The terrain curved surface in Civil 3D can be divided into four types, namely a triangular mesh curved surface, a triangular mesh volume curved surface, a grid curved surface and a grid volume curved surface. Wherein the triangular mesh curved surface is composed of irregular triangles. When the Civil 3D creates a triangulation surface from three dimensional spatial points, the points are "Delaunay triangulated". By "Delaunay triangulation", there are no points in the circle defined by the vertices of any triangle. To create a triangle mesh line, civil 3D would connect the closest surface points of the batch, i.e., the triangle mesh surface would connect the points in the file at the closest distance from each other, all points being connected into a number of triangles, thereby forming a triangle mesh surface.
(8) The curved surface of each grid is the main function of the Civil 3D, and only the Civil 3D is needed to be converted, the preset size of each grid can be set to be 1m multiplied by 1m (length multiplied by width), wherein the height of each grid can be adaptively valued according to the thickness of the stratum, and each stratum needs to be ensured to have only one layer of grid, namely a subsequent dividing unit.
(9) The preset format is an ENZ format file, the ENZ file is a connection file used by reference document management software EndNote, and connection information of an online document database is saved. The ENZ file is used to concatenate the references and download them into the EndNote document library (. ENL file).
The preset algorithm is an inverse distance weighted interpolation method or a kriging interpolation method, and the present embodiment provides two different interpolation methods to cope with different types of points. Specifically, the inverse distance weighted interpolation method is suitable for the condition that data are uniformly distributed, the calculation speed is high, and the accuracy is relatively low; the kriging interpolation method is suitable for the condition that the data has strong spatial correlation, the accuracy is high, and the calculation speed is relatively slow. In practical application, an appropriate interpolation method should be selected according to specific requirements to obtain an optimal interpolation effect.
Specifically, the statistical method of the mine resource model comprises the following steps:
Step S1, acquiring a grid curved surface of the mine resource model, and defining the size of the segmentation unit according to the grid curved surface.
Preferably, the grid curved surface of step S1 is the grid curved surface of the supplementing step (4).
And S2, dividing each stratum from the surface to the underground into a plurality of cuboids through a dividing unit.
Preferably, each formation has only one layer of cuboid.
And S3, acquiring the height average value of all the cuboids, and defining the height average value as a standard height.
Illustrating: assuming that the heights of the rectangular parallelepiped of a certain stratum in a certain small area are sequentially 1, 2, 3, 4, 5, 6, 7, 8, 9 (the numerical values here may be given in units of scale, for example, in meters), the average value of the heights is calculated to be 5, and herein, 5 is defined as the standard height.
And S4, respectively obtaining the ratio of the height of each cuboid to the standard height.
Preferably, according to the standard height obtained by the calculation is 5, the ratio of the heights of the several cuboids to the standard height is obtained respectively, and the obtained ratio is 0.2, 0.4, 0.6, 0.8, 1.0, 1.2, 1.4, 1.6 and 1.8 in sequence.
And S5, deleting the cuboid with the ratio smaller than the preset threshold value, and marking the remaining cuboid adjacent to each other as an effective resource.
Preferably, it is found after the field exploration that the position with a thinner stratum generally does not have mineral products with use value, so the preset threshold value can be set according to the data obtained by the field exploration.
Preferably, the preset threshold value is set to 25% of the ratio corresponding to the standard height, i.e. 1.0x25% =0.25, and the ratio 0.2 is smaller than the preset threshold value, so as to be deleted as an invalid mine point.
It should be noted that the illustration of the present embodiment is only for illustrating the principle, and not for limiting the numerical values, since the standard length depends on the height average value of all the cuboids, the number and the shape of the cuboids of the current stratum can be dynamically changed, and the number and the shape of the cuboids are not constant, so that the subsequent ratio and the preset threshold can be dynamically changed.
And S6, determining the boundaries of all the effective resources through a sliding window algorithm, and respectively calculating the total volume of all the cuboids in each boundary.
It is noted that the total volume herein refers to the volume of one effective resource, and the statistical amount hereinafter refers to the volume of all effective resources.
It will be appreciated that, due to the elimination of the cuboids with a ratio smaller than the preset threshold, the model may be divided into a plurality of discontinuous blocks, each block including a certain number of cuboids, i.e. one block, i.e. one effective resource.
And S7, summing all total volumes to obtain the statistical ore quantity of the mine resource model.
Further, the step S1 specifically includes the following steps:
and S11, acquiring a grid curved surface of the mine resource model through Civil 3D software.
Step S12, obtaining a minimum unit grid of the grid curved surface.
In step S13, the size of the minimum unit cell is defined as the size of the divided unit.
Preferably, the expansion of step S11 to step S13 is performed by referring to the supplementary steps (1) to (7) and the additional description.
Further, the step S11 specifically includes the following steps:
and S111, acquiring characteristic parameters of the surface contour line, the stratum drilling and the stratum cross section of the mine resource model.
And step S112, fitting the surface contour line, the stratum drilling and the stratum cross section to generate a curved surface control point file.
Step S113, importing the curve control point file into the Civil 3D software and generating a terrain triangle mesh curve.
Step S114, converting the terrain triangle mesh surface into a grid surface based on the size of the segmentation unit.
Preferably, the expansion of step S111 to step S114 is described in the supplementary steps (1) to (7) and the additional description.
Further, the step S111 specifically includes the following steps:
And S1111, acquiring the surface contour, the ground coordinates of the formation drilling and the formation thickness of the formation cross section through one or more of remote sensing interpretation, field engineering geological survey, unmanned aerial vehicle aerial photogrammetry and three-dimensional laser scanning.
Step S1112, integrating the surface contour, the borehole ground coordinates of the formation borehole and the formation thickness of the formation cross section as the characteristic parameters.
Preferably, the development of step S1111 to step S1112 is performed by referring to the supplementary steps (1) to (7) and the additional description.
Further, the step S112 specifically includes the following steps:
in step S1121, feature parameters are output in AutoCAD to form a stratum model.
In step S1122, the formation borehole is output in the formation model, with its ground coordinates being level with the surface contour.
In step S1123, the length of the formation borehole is obtained and the length is output from the surface contour line in the direction of decreasing the height, so as to form a complete borehole pattern.
In step S1124, the formation cross-section is output in the formation model based on the same elevation reference frame.
In step S1125, the lowest elevation value of the stratum model is obtained, and the part of the stratum cross section with the elevation lower than the lowest elevation value is deleted according to the lowest elevation value.
In step S1126, longitudinal section lines are added to the formation model at predetermined horizontal distances.
In step S1127, a portion of the longitudinal section line with an elevation lower than the lowest elevation value is deleted according to the lowest elevation value to form a curved surface control point file.
Preferably, the mine resource model generated through steps S11 to S13 and the sub-steps thereof can be seen in fig. 2, and fig. 2 is a visual perspective view of a mine resource model with gentle topography and relatively simple, and each stratum is distinguished by different colors in fig. 2.
It is noted that, for the mine resource model with complex topography, larger and deeper statistical range, more complex than fig. 2, the blocks after deleting the cuboid smaller than the preset threshold are mostly irregular and discontinuous stereo graphics.
Further, the step S6 specifically includes the following steps:
step S61, each deleted cuboid is defined as a grid based on the current effective resource, and assigned to 0.
In step S62, each remaining cuboid is defined as a grid, and assigned 1.
Step S63, defining each grid and adjacent grids as a matrix, and respectively obtaining assigned values of all grids in each matrix.
Step S64, judging whether the assigned value of the grid in each matrix is 0, and if the assigned value of the grid is 0, executing step S65.
In step S65, a matrix with assigned values of 0 of the grid is extracted and used as an edge matrix.
Step S66, extracting cuboid adjacent to the deleted cuboid in each edge matrix and marking the cuboid as a boundary cuboid.
And step S67, sequentially connecting the center points of the rectangular solids of each boundary to obtain the boundary of the current effective resource.
Further, the step S63 specifically includes the following steps:
in step S631, the operation of the method, each grid and twenty-six grids adjacent to each grid are defined as a 3 x 3 matrix.
In step S632 of the process of the present invention, the assigned values for each grid in each 3 x 3 matrix are obtained separately.
According to the embodiment, the grid curved surface of the mine resource model is obtained, and the size of the segmentation unit is defined according to the grid curved surface; dividing each stratum from the surface to the underground into a plurality of cuboids through a dividing unit; acquiring the height average value of all cuboids, and defining the height average value as a standard height; respectively obtaining the ratio of the height of each cuboid to the standard height; deleting the cuboids with the ratio smaller than a preset threshold value, and marking the remaining cuboids which are adjacent to each other as an effective resource; determining the boundaries of all effective resources through a sliding window algorithm, and respectively calculating the total volume of all cuboids in each boundary; and summing all total volumes to obtain the statistical ore quantity of the mine resource model. According to the embodiment, the characteristic that the mine resource model generated based on Civil 3D has a grid curved surface is utilized, the grid curved surface is directly used as a basis for cuboid segmentation, a segmentation unit does not need to be redefined, the characteristic that stratum layering can be obtained through surveying is utilized, the characteristics that the minerals have the characteristics of layering according to the stratum are utilized, the cuboid with the too short height is used as an invalid mine point to be deleted, the overall boundary of the rest cuboid is reconfirmed, and the volume in the overall boundary is calculated to be the effective mine quantity of the mine resource model. According to the method, the grid mesh surface definition segmentation unit attached to the Civil 3D is free of manual intervention and segmentation, the whole statistical process algorithm is simple and clear, the calculation force burden of equipment is low, in the actual use process, the model can be updated in real time, equipment operation under the same condition cannot be blocked, and therefore the operation efficiency is improved. And the embodiment has the characteristic of visualization, after deleting the cuboid with too short height, the user can drag, perspective and zoom in real time so as to check the cavity condition (namely invalid mine point) of the model in real time, and can utilize the cavity condition to carry out subsequent geological analysis.
As shown in fig. 3, this embodiment provides an embodiment of a statistical apparatus for a mine resource model, which is applied to the statistical method in the above embodiment, and includes a dividing unit size defining module 1, a cuboid dividing module 2, a standard height defining module 3, a height ratio obtaining module 4, an effective resource marking module 5, an effective resource boundary determining module 6, and a statistical mine amount calculating module 7, which are electrically connected in this order.
The dividing unit size definition module 1 is used for acquiring a grid curved surface of the mine resource model and defining the size of the dividing unit according to the grid curved surface; the cuboid segmentation module 2 is used for respectively segmenting each stratum from the surface to the underground into a plurality of cuboids through segmentation units; the standard height definition module 3 is used for obtaining the height average value of all cuboids and defining the height average value as a standard height; the height ratio obtaining module 4 is used for obtaining the ratio of the height of each cuboid to the standard height respectively; the effective resource marking module 5 is used for deleting cuboids with the ratio smaller than a preset threshold value, and marking the remaining cuboids which are adjacent to each other as an effective resource; the effective resource boundary determining module 6 is used for determining the boundaries of all effective resources through a sliding window algorithm and respectively calculating the total volume of all cuboids in each boundary; the statistical ore quantity calculating module 7 is used for summing all total volumes to obtain the statistical ore quantity of the mine resource model.
Further, the dividing unit size defining module comprises a first dividing unit size defining sub-module, a second dividing unit size defining sub-module and a third dividing unit size defining sub-module which are electrically connected in sequence; the third segmentation unit size definition submodule is electrically connected with the cuboid segmentation module.
The first segmentation unit size defining sub-module is used for acquiring a grid curved surface of the mine resource model through Civil 3D software; the second segmentation unit size definition submodule is used for acquiring a minimum unit grid of the grid curved surface; the third division unit size defining sub-module is for defining a size of the minimum unit cell as a size of the division unit.
Further, the first dividing unit size defining submodule comprises a first dividing unit size defining unit, a second dividing unit size defining unit, a third dividing unit size defining unit and a fourth dividing unit size defining unit which are electrically connected in sequence; the fourth dividing unit size defining unit is electrically connected with the second dividing unit size defining sub-module.
The first segmentation unit size definition unit is used for acquiring characteristic parameters of a surface contour line, formation drilling and formation cross section of the mine resource model; the second dividing unit size defining unit is used for fitting the surface contour line, the stratum drilling and the stratum cross section to generate a curved surface control point file; the third segmentation unit size definition unit is used for importing a curved surface control point file into the Civil 3D software and generating a terrain triangle mesh curved surface; the fourth dividing unit size defining unit is used for converting the terrain triangle mesh surface into a grid surface based on the size of the dividing unit.
Further, the first dividing unit size defining unit comprises a first dividing unit size defining subunit and a second dividing unit size defining subunit which are electrically connected in sequence; the second dividing unit size defining subunit is electrically connected with the second dividing unit size defining unit.
The first segmentation unit size definition subunit is used for acquiring a surface contour line, a drilling ground coordinate of a stratum drilling and a stratum thickness of a stratum cross section through one or more of remote sensing interpretation, field engineering geological investigation, unmanned aerial vehicle aerial photogrammetry and three-dimensional laser scanning; the first dividing unit size defining subunit is used for integrating the surface contour line, the drilling ground coordinates of the stratum drilling and the stratum thickness of the stratum cross section to be the characteristic parameters.
Further, the second dividing unit size defining unit includes a third dividing unit size defining subunit, a fourth dividing unit size defining subunit, a fifth dividing unit size defining subunit, a sixth dividing unit size defining subunit, a seventh dividing unit size defining subunit, an eighth dividing unit size defining subunit, and a ninth dividing unit size defining subunit electrically connected in order; the third dividing unit size defining subunit is electrically connected with the second dividing unit size defining subunit, and the ninth dividing unit size defining subunit is electrically connected with the third dividing unit size defining unit.
The third segmentation unit size defining subunit is used for outputting characteristic parameters in AutoCAD to form a stratum model; the fourth segmentation unit size definition subunit is used for outputting a stratum drilling hole in the stratum model, and the ground coordinates of the stratum drilling hole are flush with the surface contour line; the fifth dividing unit size defining subunit is used for acquiring the length of the formation drilling hole and outputting the length from the surface contour line to the direction of height reduction to form a complete drilling pattern; a sixth segmentation unit size definition subunit for outputting a formation cross section in the formation model based on the same elevation reference frame; the seventh segmentation unit size definition subunit is used for acquiring the lowest elevation value of the stratum model, and deleting a part of the stratum cross section, the elevation of which is lower than the lowest elevation value, according to the lowest elevation value; the eighth segmentation unit size definition subunit is used for adding a longitudinal section line in the stratum model at intervals of a preset horizontal distance; the ninth dividing unit size defining subunit is configured to delete a portion of the longitudinal section line having an elevation lower than the lowest elevation value according to the lowest elevation value, to form a curved surface control point file.
Further, the effective resource boundary determining module comprises a first effective resource boundary determining sub-module, a second effective resource boundary determining sub-module, a third effective resource boundary determining sub-module, a fourth effective resource boundary determining sub-module, a fifth effective resource boundary determining sub-module, a sixth effective resource boundary determining sub-module and a seventh effective resource boundary determining sub-module which are electrically connected in sequence; the first effective resource boundary determining sub-module is electrically connected with the effective resource marking module, and the seventh effective resource boundary determining sub-module is electrically connected with the statistic ore quantity calculating module.
The first effective resource boundary determining submodule is used for respectively defining each deleted cuboid as a grid based on the current effective resource and assigning 0; the second effective resource boundary determining submodule is used for defining each remaining cuboid as a grid and assigning 1; the third effective resource boundary determining submodule is used for defining each grid and adjacent grids as a matrix and respectively obtaining assigned values of all grids in each matrix; the fourth effective resource boundary determining submodule is used for respectively judging whether the assigned value of the grid in each matrix is 0; the fifth effective resource boundary determining submodule is used for extracting a matrix with the grid with the value of 0 as an edge matrix if the value of the grid with the value of 0 is set; the sixth effective resource boundary determining submodule is used for respectively extracting the cuboid adjacent to the deleted cuboid in each edge matrix and marking the cuboid as a boundary cuboid; and the seventh effective resource boundary determining submodule is used for sequentially connecting the center points of the cuboids of each boundary to obtain the boundary of the current effective resource.
Further, the third effective resource boundary determining submodule comprises a first effective resource boundary determining unit and a second effective resource boundary determining unit which are electrically connected in sequence; the first effective resource boundary determining unit is electrically connected with the second effective resource boundary determining submodule, and the second effective resource boundary determining unit is electrically connected with the fourth effective resource boundary determining submodule.
Wherein, a first effective resource boundary determining unit for combining each grid with each grid twenty-six grids with adjacent grids defined as a 3 x 3 matrix; the second effective resource boundary determining unit is used for respectively acquiring each the assigned value of each grid in the 3 x 3 matrix.
It should be noted that, the present embodiment is an embodiment of a device based on the foregoing method embodiment, and additional contents such as optimization, expansion, limitation, and illustration of the present embodiment may be referred to the foregoing embodiment, which is not repeated herein.
According to the embodiment, the grid curved surface of the mine resource model is obtained, and the size of the segmentation unit is defined according to the grid curved surface; dividing each stratum from the surface to the underground into a plurality of cuboids through a dividing unit; acquiring the height average value of all cuboids, and defining the height average value as a standard height; respectively obtaining the ratio of the height of each cuboid to the standard height; deleting the cuboids with the ratio smaller than a preset threshold value, and marking the remaining cuboids which are adjacent to each other as an effective resource; determining the boundaries of all effective resources through a sliding window algorithm, and respectively calculating the total volume of all cuboids in each boundary; and summing all total volumes to obtain the statistical ore quantity of the mine resource model. According to the embodiment, the characteristic that the mine resource model generated based on Civil 3D has a grid curved surface is utilized, the grid curved surface is directly used as a basis for cuboid segmentation, a segmentation unit does not need to be redefined, the characteristic that stratum layering can be obtained through surveying is utilized, the characteristics that the minerals have the characteristics of layering according to the stratum are utilized, the cuboid with the too short height is used as an invalid mine point to be deleted, the overall boundary of the rest cuboid is reconfirmed, and the volume in the overall boundary is calculated to be the effective mine quantity of the mine resource model. According to the method, the grid mesh surface definition segmentation unit attached to the Civil 3D is free of manual intervention and segmentation, the whole statistical process algorithm is simple and clear, the calculation force burden of equipment is low, in the actual use process, the model can be updated in real time, equipment operation under the same condition cannot be blocked, and therefore the operation efficiency is improved. And the embodiment has the characteristic of visualization, after deleting the cuboid with too short height, the user can drag, perspective and zoom in real time so as to check the cavity condition (namely invalid mine point) of the model in real time, and can utilize the cavity condition to carry out subsequent geological analysis.
Fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present application. As shown in fig. 4, the electronic device 8 includes a processor 81 and a memory 82 coupled to the processor 81.
The memory 82 stores program instructions for implementing the statistical method of the mine resource model of any of the embodiments described above.
The processor 81 is configured to execute program instructions stored in the memory 82 to perform statistics of the mine resource model.
The processor 81 may also be referred to as a CPU (Central Processing Unit ). The processor 81 may be an integrated circuit chip with signal processing capabilities. Processor 81 may also be a general purpose processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
Further, fig. 5 is a schematic structural diagram of a storage medium according to an embodiment of the present application, and referring to fig. 5, the storage medium 9 according to an embodiment of the present application stores a program instruction 91 capable of implementing all the methods described above, where the program instruction 91 may be stored in the storage medium in the form of a software product, and includes several instructions for making a computer device (which may be a personal computer, a server, or a network device) or a processor (processor) execute all or part of the steps of the methods described in various embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, an optical disk, or other various media capable of storing program codes, or a terminal device such as a computer, a server, a mobile phone, a tablet, or the like.
In the several embodiments provided in the present application, it should be understood that the disclosed systems, apparatuses, and methods may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of elements is merely a logical functional division, and there may be additional divisions of actual implementation, e.g., multiple elements or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other forms.
In addition, each functional unit in each embodiment of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units. The foregoing is only the embodiments of the present application, and is not intended to limit the scope of the patent application, and all equivalent structures or equivalent processes using the contents of the specification and drawings of the present application or directly or indirectly applied to other related technical fields are included in the scope of the patent protection of the present application.
The embodiments of the present application have been described in detail above, but they are merely examples, and the present application is not limited to the above-described embodiments. It will be apparent to those skilled in the art that any equivalent modifications or substitutions to the present application are also within the scope of the present application, and therefore, such equivalent alterations and modifications, improvements, etc. are intended to be within the scope of the present application without departing from the spirit and principles of the present application.
Claims (8)
1. A statistical method of a mine resource model, the mine resource model being generated in Civil 3D software, the mine resource model comprising at least two strata stacked in sequence, the statistical method of the mine resource model comprising:
acquiring a grid curved surface of the mine resource model, and defining the size of a segmentation unit according to the grid curved surface;
dividing each stratum from the surface to the underground into a plurality of cuboids through the dividing units;
acquiring the average height value of all cuboids, and defining the average height value as a standard height;
respectively obtaining the ratio of the height of each cuboid to the standard height;
deleting the cuboid with the ratio smaller than a preset threshold value, and marking the remaining cuboid adjacent to each other as an effective resource;
Determining the boundaries of all effective resources through a sliding window algorithm, and respectively calculating the total volume of all cuboids in each boundary;
summing all total volumes to obtain the statistical ore quantity of the mine resource model;
the generation step of the mine resource model comprises the following steps:
acquiring the surface contour line, formation drilling and formation cross section of the mine mountain in a preset range through a preset strategy;
fitting the surface contour line, the stratum drilling hole and the stratum cross section to generate a curved surface control point file;
importing a curved surface control point file into Civil 3D and generating a terrain triangle mesh curved surface based on a mine mountain;
defining grids with preset sizes and converting the terrain triangular mesh curved surface into a grid curved surface;
exporting the grid curved surface into a point file with a preset format;
calculating a plurality of interpolations of all the points in the point file through a preset algorithm;
all interpolation values are led into the curved surface of the terrain triangular net to form a mine resource model;
acquiring a grid curved surface of the mine resource model, and defining the size of a segmentation unit according to the grid curved surface, wherein the method comprises the following steps:
acquiring a grid curved surface of the mine resource model through the Civil 3D software;
obtaining a minimum unit grid of the grid curved surface;
Defining the size of the minimum unit cell as the size of the dividing unit;
obtaining the grid curved surface of the mine resource model through the Civil 3D software comprises the following steps:
acquiring characteristic parameters of the surface contour line, the stratum drilling and the stratum cross section of the mine resource model;
fitting the surface contour line, the stratum drilling hole and the stratum cross section to generate a curved surface control point file;
importing the curve control point file into the Civil 3D software and generating a terrain triangle mesh curve;
and converting the terrain triangle mesh surface into a grid surface based on the size of the segmentation unit.
2. The method for statistics of a mine resource model according to claim 1, wherein obtaining characteristic parameters of a surface contour, a formation borehole, and a formation cross section of the mine resource model comprises:
acquiring the surface contour line, the drilling ground coordinates of the stratum drilling and the stratum thickness of the stratum cross section through one or more of remote sensing interpretation, field engineering geological survey, unmanned aerial vehicle aerial photogrammetry and three-dimensional laser scanning;
and integrating the surface contour line, the drilling ground coordinates of the stratum drilling and the stratum thickness of the stratum cross section as the characteristic parameters.
3. The statistical method of the mine resource model of claim 1, wherein fitting the surface contour, the formation borehole, the formation cross section to generate a curved surface control point file comprises:
outputting the characteristic parameters in AutoCAD to form a stratum model;
outputting the stratum drilling hole in the stratum model, wherein the ground coordinates of the stratum drilling hole are flush with the surface contour line;
acquiring the length of the stratum drilling hole, and outputting the length from the surface contour line to the height decreasing direction to form a complete drilling pattern;
outputting the formation cross section in the formation model based on the same elevation reference frame;
acquiring the lowest elevation value of the stratum model, and deleting a part of the stratum cross section, the elevation of which is lower than the lowest elevation value, according to the lowest elevation value;
adding longitudinal section lines in the stratum model at intervals of a preset horizontal distance;
and deleting the part of the longitudinal section line with the height lower than the lowest elevation value according to the lowest elevation value to form the curve surface control point file.
4. The statistical method of mine resource model according to claim 1, wherein the boundary of all effective resources is determined by a sliding window algorithm, and the total volume of all cuboids within each boundary is calculated respectively, comprising:
Defining each deleted cuboid as a grid based on the current effective resource, and assigning 0;
defining each remaining cuboid as a grid, and assigning 1;
defining each grid and adjacent grids as a matrix, and respectively acquiring assigned values of all grids in each matrix;
judging whether the assigned value of the grid in each matrix is 0 or not respectively;
if so, extracting a matrix with the assigned value of 0 of the grid and taking the matrix as an edge matrix;
extracting cuboid adjacent to the deleted cuboid in each edge matrix respectively, and marking the cuboid as a boundary cuboid;
and sequentially connecting the center points of the rectangular solids of each boundary to obtain the boundary of the current effective resource.
5. The method for statistics of mine resource models according to claim 4, wherein defining each grid and adjacent grids as a matrix, and obtaining assigned values of all grids in each matrix respectively, comprises:
defining each grid and twenty-six grids adjacent to each grid as a 3 x 3 matrix;
the assigned values for each grid in each 3 x 3 matrix are obtained separately.
6. A statistical apparatus of a mine resource model, which is applied to the statistical method of a mine resource model according to one of claims 1 to 5, characterized in that the statistical apparatus of a mine resource model comprises:
The dividing unit size definition module is used for acquiring a grid curved surface of the mine resource model and defining the size of the dividing unit according to the grid curved surface;
the cuboid segmentation module is used for respectively segmenting each stratum from the surface to the underground into a plurality of cuboids through the segmentation unit;
the standard height definition module is used for acquiring the height average value of all cuboids and defining the height average value as a standard height;
the height ratio acquisition module is used for respectively acquiring the ratio of the height of each cuboid to the standard height;
the effective resource marking module is used for deleting the cuboid with the ratio smaller than a preset threshold value and marking the remaining cuboid which are adjacent to each other as an effective resource;
the effective resource boundary determining module is used for determining the boundaries of all effective resources through a sliding window algorithm and respectively calculating the total volume of all cuboids in each boundary;
the statistical ore quantity calculating module is used for summing all total volumes to obtain the statistical ore quantity of the mine resource model;
the generation step of the mine resource model comprises the following steps:
acquiring the surface contour line, formation drilling and formation cross section of the mine mountain in a preset range through a preset strategy;
Fitting the surface contour line, the stratum drilling hole and the stratum cross section to generate a curved surface control point file;
importing a curved surface control point file into Civil 3D and generating a terrain triangle mesh curved surface based on a mine mountain;
defining grids with preset sizes and converting the terrain triangular mesh curved surface into a grid curved surface;
exporting the grid curved surface into a point file with a preset format;
calculating a plurality of interpolations of all the points in the point file through a preset algorithm;
all interpolation values are led into the curved surface of the terrain triangular net to form a mine resource model;
the dividing unit size definition module comprises a first dividing unit size definition sub-module, a second dividing unit size definition sub-module and a third dividing unit size definition sub-module which are electrically connected in sequence; the third segmentation unit size definition submodule is electrically connected with the cuboid segmentation module; the first segmentation unit size defining sub-module is used for acquiring a grid curved surface of the mine resource model through Civil 3D software; the second segmentation unit size definition submodule is used for acquiring a minimum unit grid of the grid curved surface; the third division unit size defining sub-module is used for defining the size of the minimum unit grid as the size of the division unit;
The first dividing unit size definition submodule comprises a first dividing unit size definition unit, a second dividing unit size definition unit, a third dividing unit size definition unit and a fourth dividing unit size definition unit which are electrically connected in sequence; the fourth dividing unit size defining unit is electrically connected with the second dividing unit size defining sub-module; the first segmentation unit size definition unit is used for acquiring characteristic parameters of a surface contour line, formation drilling and formation cross section of the mine resource model; the second dividing unit size defining unit is used for fitting the surface contour line, the stratum drilling and the stratum cross section to generate a curved surface control point file; the third segmentation unit size definition unit is used for importing a curved surface control point file into the Civil 3D software and generating a terrain triangle mesh curved surface; the fourth dividing unit size defining unit is used for converting the terrain triangle mesh surface into a grid surface based on the size of the dividing unit.
7. An electronic device comprising a processor, and a memory coupled to the processor, the memory storing program instructions executable by the processor; the processor, when executing the program instructions stored by the memory, implements a statistical method of the mine resource model of any one of claims 1 to 5.
8. A storage medium having stored therein program instructions which, when executed by a processor, implement a statistical method capable of implementing the mine resource model of any one of claims 1 to 5.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311466802.7A CN117197398B (en) | 2023-11-07 | 2023-11-07 | Statistical method, device, equipment and storage medium of mine resource model |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311466802.7A CN117197398B (en) | 2023-11-07 | 2023-11-07 | Statistical method, device, equipment and storage medium of mine resource model |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN117197398A CN117197398A (en) | 2023-12-08 |
| CN117197398B true CN117197398B (en) | 2024-02-09 |
Family
ID=88989087
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311466802.7A Active CN117197398B (en) | 2023-11-07 | 2023-11-07 | Statistical method, device, equipment and storage medium of mine resource model |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117197398B (en) |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103903061A (en) * | 2014-03-04 | 2014-07-02 | 中国地质科学院矿产资源研究所 | Information comprehensive processing device and method in three-dimensional mineral resource prediction evaluation |
| CN104700207A (en) * | 2015-02-28 | 2015-06-10 | 中国地质大学（武汉） | Internet-of-things-based mining dynamic real-time monitoring method and system |
| CN106372815A (en) * | 2016-10-04 | 2017-02-01 | 南怀方 | Digital elevation model-based mineral resources reserve evaluation method and application |
| CN111784761A (en) * | 2020-07-06 | 2020-10-16 | 中广核铀业发展有限公司 | Mineral resource set volume estimation method |
| CN113658327A (en) * | 2021-08-10 | 2021-11-16 | 煤炭科学研究总院 | Method and device for lightening coal mine three-dimensional model data |
| WO2022015873A2 (en) * | 2020-07-14 | 2022-01-20 | Spirent Communications Plc | An architecture for providing forecasts of gnss obscuration and multipath |
| CN114663627A (en) * | 2022-03-28 | 2022-06-24 | 中国矿业大学 | Mine digital model establishing method based on three-dimensional point cloud database |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US11156744B2 (en) * | 2019-01-10 | 2021-10-26 | Emerson Paradigm Holding Llc | Imaging a subsurface geological model at a past intermediate restoration time |
| EP3828822A1 (en) * | 2019-11-28 | 2021-06-02 | Dassault Systèmes | Civil engineering |
| US20210398157A1 (en) * | 2020-06-18 | 2021-12-23 | Colorado School Of Mines | Systems and methods for maximizing mine production scheduling |
-
2023
- 2023-11-07 CN CN202311466802.7A patent/CN117197398B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103903061A (en) * | 2014-03-04 | 2014-07-02 | 中国地质科学院矿产资源研究所 | Information comprehensive processing device and method in three-dimensional mineral resource prediction evaluation |
| CN104700207A (en) * | 2015-02-28 | 2015-06-10 | 中国地质大学（武汉） | Internet-of-things-based mining dynamic real-time monitoring method and system |
| CN106372815A (en) * | 2016-10-04 | 2017-02-01 | 南怀方 | Digital elevation model-based mineral resources reserve evaluation method and application |
| CN111784761A (en) * | 2020-07-06 | 2020-10-16 | 中广核铀业发展有限公司 | Mineral resource set volume estimation method |
| WO2022015873A2 (en) * | 2020-07-14 | 2022-01-20 | Spirent Communications Plc | An architecture for providing forecasts of gnss obscuration and multipath |
| CN113658327A (en) * | 2021-08-10 | 2021-11-16 | 煤炭科学研究总院 | Method and device for lightening coal mine three-dimensional model data |
| CN114663627A (en) * | 2022-03-28 | 2022-06-24 | 中国矿业大学 | Mine digital model establishing method based on three-dimensional point cloud database |
Non-Patent Citations (3)
| Title |
|---|
| Oussama Zerzour等.Geostatistics-Based Method for Irregular Mineral Resource Estimation in Ouenza Iron Mine,Northeastern,Algeria.《SPRINGER LINK》.2021,第39卷3337-3346. * |
| 相山火山盆地三维地质建模与成矿预测;窦帆帆;《中国优秀硕士学位论文全文数据库 工程科技I辑》;A011-101 * |
| 自动可交互隐式区域三维地质建模与剖切分析研究;代欣位;《中国优秀硕士学位论文全文数据库 工程科技I辑》;1-90 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN117197398A (en) | 2023-12-08 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| McCullagh | Terrain and surface modelling systems: theory and practice | |
| KR101548647B1 (en) | Processor for visualization of three dimensional geo-spatial information | |
| CN112925865B (en) | 3D WebGIS prediction analysis method and system for mining area ground surface movement deformation | |
| CN116152461B (en) | Geological modeling method, device, computer equipment and computer readable storage medium | |
| CN112906096B (en) | Highway engineering design data reconstruction and analysis method and system | |
| CN116486025A (en) | Urban geological data processing platform based on big data cloud computing technology | |
| CN110827405A (en) | Digital remote sensing geological mapping method and system | |
| CN116933607B (en) | Mine resource model creation method, device, equipment and storage medium | |
| Labant et al. | Geodetic determining of stockpile volume of mineral excavated in open pit mine | |
| CN113946980B (en) | Step earth and stone volume calculation method and system for large strip mine excavation engineering | |
| CN109949415B (en) | System and method for modeling three-dimensional earth surface and geological body model in topological consistency | |
| CN112580134B (en) | Design method, device, equipment and storage medium for roadbed engineering | |
| KR102046112B1 (en) | Apparatus for providing 3d terrain and facility data using online map open api and method thereof | |
| CN102609614B (en) | Excavation analysis method aiming at complex ore body | |
| CN117197398B (en) | Statistical method, device, equipment and storage medium of mine resource model | |
| Pepe et al. | 4D geomatics monitoring of a quarry for the calculation of extracted volumes by tin and grid model: Contribute of UAV photogrammetry | |
| Byrne et al. | VOLA: A Compact Volumetric Format for 3D Mapping and Embedded Systems. | |
| Liu et al. | Processing outcrop point clouds to 3D rock structure using open source software | |
| Spark et al. | Digital Terrain Models and the visualization of structural geology | |
| CN112487522B (en) | BIM model generation method and device and computer storage medium | |
| CN118133573B (en) | Iterative method, device, equipment and storage medium for library basin design curved surface model | |
| Granitzer et al. | Integration of Point Cloud Data for Numerical Simulations Using NURBS Surfaces | |
| CN117436171B (en) | BIM-based tunnel load assessment method, device, terminal equipment and medium | |
| CN115952580A (en) | Underground space three-dimensional modeling processing method, system and storage medium | |
| Gorte et al. | Representation and reconconstruction of triangular irregular networks with vertical walls |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |