Coal mine geological object data organization and integration method based on logical point association

Abstract

The application provides a coal mine geological object data organization and integration method based on logical point association, and the method comprises the following steps: acquiring spatial entity points of each geological object of a coal mine; according to the spatial position characteristics of each geological object, the spatial entity points are organized into logical points of each geological object; curves intersecting each geological object in space or curves with certain geological implications are organized into logical boundaries; a surface formed by logical points and logical boundaries corresponding to spatial entity points on the same planar geological object is determined as a logical surface, and according to the composition relationship of a geological body and a geological interface, the logical surface is closed to form a logical body; all logical surfaces and logical bodies are organized into a complete logical model to express the logical structure of a final geological model. The method realizes consistent expression of semantic information and spatial topology of geological objects based on the integrated logical model of logical points, and is convenient for data integration and geological modeling construction.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of geology, and in particular to a coal mine geological object data organization and integration method based on logical point association. BACKGROUND

[0002] In actual work of coal mines, various geological data need to be collected, generated and managed, and the heterogeneity of geological data is increasingly prominent. Simple data integration cannot guarantee the spatial consistency of data, which is not conducive to further processing of data to generate coal mine underground three-dimensional spatial data model, and makes the interoperability of coal mine geological data poor, which cannot effectively support intelligent upgrading and transformation of coal mines. Therefore, in the process of data integration and management, how to organize and express geological data and spatial relationship constraint is a very key problem. SUMMARY

[0003] The present application provides a coal mine geological object data organization and integration method and device based on logical point association. The specific scheme is as follows:

[0004] The present application provides a coal mine geological object data organization and integration method based on logical point association. The specific scheme is as follows:

[0005] According to the spatial position characteristics of each geological object, the spatial entity points are organized into logical points of each geological object;

[0006] The curves intersecting each other in space or having certain geological meaning are organized into logical boundaries, and the logical boundary is composed of a set of ordered logical points. The logical boundary includes a starting logical point, an ending logical point and an internal logical point;

[0007] The logical points and logical boundaries corresponding to the spatial entity points on the same planar geological object are determined as a logical surface, wherein the logical surface has a plurality of logical boundaries, and the plurality of logical interfaces are connected according to the first and last points to form a topologically closed ring;

[0008] According to the composition relationship of the geological body and the geological interface, the logical surface is closed to form a logical body;

[0009] All logical surfaces and logical bodies are organized into a complete logical model to express the logical structure of the final geological model, wherein the logical model indexes all spatial entity points of each geological object, and each logical point corresponds to a spatial entity point.

[0010] The present application provides a coal mine geological object data organization and integration method based on logical point association. The specific scheme is as follows:

[0011] The acquisition module is configured to acquire spatial entity points of each geological object of the coal mine;

[0012] The first determining module is configured to organize the spatial entity points into logical points of each geological object according to spatial position characteristics of the geological objects;

[0013] The second determining module is configured to organize curves intersecting with each other in space or curves having certain geological meanings into logical boundaries, the logical boundaries being composed of a set of ordered logical points, the logical boundaries including a starting logical point, an ending logical point and internal logical points;

[0014] The third determining module is configured to determine a face composed of logical points and logical boundaries corresponding to the spatial entity points on the same planar geological object as a logical face, wherein the logical face has a plurality of logical boundaries, and the logical boundaries form a topologically closed ring in a manner that the first and last points are connected;

[0015] The fourth determining module is configured to close the logical face to form a logical body according to a constituting relationship between the geological body and the geological interface;

[0016] The generating module is configured to organize all the logical faces and the logical body into a complete logical model to express a logical structure of a final geological model, wherein the logical model indexes all the spatial entity points of the geological objects, and each logical point corresponds to a spatial entity point.

[0017] Another aspect of the present application provides a computer device, comprising a processor and a memory;

[0018] The processor runs a program corresponding to executable program codes stored in the memory by reading the executable program codes, so as to implement the method according to the above aspect of the embodiment.

[0019] Another aspect of the present application provides a non-transitory computer readable storage medium, which stores a computer program, and the computer program is executed by a processor to implement the method according to the above aspect of the embodiment.

[0020] Another aspect of the present application provides a computer program product, which comprises a computer program, and the computer program is executed by a processor to implement the steps of the method according to the above embodiment.

[0021] Additional aspects and advantages of the present application will be in part apparent and in part pointed out hereinafter. BRIEF DESCRIPTION OF DRAWINGS

[0022] The above and / or additional aspects and advantages of the present application will become apparent and be readily appreciated from the following description, including the appended drawings.

[0023] Figure 1A flowchart of a coal mine geological object data organization and integration method based on logical point association provided by an embodiment of the present application is shown in the figure.

[0024] Figure 2 A geometric form diagram of a geological boundary provided by an embodiment of the present application is shown in the figure.

[0025] Figure 3 A diagram of a logical boundary corresponding to the geological boundary shown in the figure is shown in the figure. Figure 2

[0026] A diagram of a logical boundary corresponding to the geological boundary shown in the figure is shown in the figure. Figure 4

[0027] A diagram of a logical point association provided by an embodiment of the present application is shown in the figure. Figure 5

[0028] A diagram of a logical point association provided by an embodiment of the present application is shown in the figure. Figure 6

[0029] A diagram of a logical point association provided by an embodiment of the present application is shown in the figure. Figure 7

[0030] A diagram of a logical point association provided by an embodiment of the present application is shown in the figure. Figure 8

[0031] A diagram of a logical point association provided by an embodiment of the present application is shown in the figure. Figure 9 DETAILED DESCRIPTION

[0032] The embodiments of the present application are described in detail below, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals represent the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the accompanying drawings are exemplary and are intended to explain the present application, and cannot be understood as a limitation of the present application.

[0033] The coal mine geological object data organization and integration method and device based on logical point association of the embodiments of the present application are described below with reference to the accompanying drawings.

[0034] ​The three-dimensional geological framework and geological environment of the underground coal mine are expressed, and the core geological objects include faults, strata, rock bodies, and geological anomaly bodies (such as collapse columns and goaf), and the organization and expression of the geological objects need to reflect the spatial distribution of the geological structures and the spatial relationship between the structural geological elements (mainly including faults and faults, strata and strata, and faults and strata). Therefore, the expression of the geological data should mainly consider the semantic structure information of the geological data, the expression of the geometric boundary data, and the expression of the association relationship between the data. Due to the difference in the organization form and the diversity in the expression of the geological data, a unified data model and data organization process are constructed to realize different requirements in data integration, management, and application.

[0035] The general process of constructing different geological object models usually adopts boundary-based modeling, divides the space, combines into bodies or other geological objects, and expresses the relationship between different geological objects, so as to complete the structured construction. As can be seen, the geometric boundary of a geological body object is essentially to construct an abstract geological boundary object, such as the boundary of a stratum or a fault. The division and composition of the geological space are also completed by these abstract geological boundaries. Through the abstract geological boundaries, the geometric information of the geological objects and the spatial relationship between the objects can be processed, so as to form strata, faults, and other different geological objects, and finally form the model of the entire space underground. The present application introduces the concept of logical points to uniformly express the geological, geometric, and topological relationships of the abstract geological boundary objects, and forms an integrated data model based on logical points to realize data organization and integration.

[0036] Figure 1 A flowchart of a coal mine geological object data organization and integration method based on logical point association provided by the embodiment of the present application.

[0037] The coal mine geological object data organization and integration method based on logical point association of the embodiment of the present application can be executed by the coal mine geological object data organization and integration device based on logical point association of the embodiment of the present application. The device can be configured in an electronic device to realize the function of coal mine geological object data organization and integration based on logical point association.

[0038] The electronic device can be any device with computing capability, such as a personal computer, a mobile terminal, a server, and the like. The mobile terminal can be a vehicle-mounted device, a mobile phone, a tablet computer, a personal digital assistant, a wearable device, and the like, which has various operating systems, touch screens, and / or display screens.

[0039] As shown in FIG. 1, the coal mine geological object data organization and integration method based on logical point association includes the following steps. Figure 1

[0040] In step 101, the spatial entity points of each geological object of the coal mine are acquired.​

[0041] Wherein, the spatial entity point comprises an identity and three-dimensional position coordinate information (x, y, z), and the identity has uniqueness.

[0042] The core geological object can include faults, strata, rock bodies, and geological anomaly bodies (such as collapse columns and goaf) and the like, and the organization expression of the geological object needs to reflect the spatial distribution of the geological structure and the spatial relationship between the structural geological elements (mainly including faults and faults, strata and strata, and faults and strata).

[0043] From the perspective of geology, the underground space is composed of a series of geological objects, and the geological object is a division of space. The three-dimensional geological structure model is actually based on the segmentation of the underground three-dimensional space by the geological object.

[0044] The geological model can be expressed as: GeoModel={Gp, O, R}, Gp represents the geometric information of the geological object. The geometric data information is the result of spatial geometric division and is the geometric discretization of the underground space. The general division is based on the division of faces in display modeling, and the bodies are spliced; in implicit modeling, the bodies are spliced by tracking attribute faces. O={U, S} represents the geological object elements, including U geological units and S geological structures. R={above, below, at, boundary, composition} represents the topological relationship between geological objects, which is referred to as geological relationship. The geological relationship R mainly explains the geological semantics or spatial relationship between two geological objects, such as the erosion geological relationship between geological objects A and B.

[0045] The general process of constructing different geological object models generally adopts boundary-based modeling to divide the space, splice the bodies or other geological objects, and express the relationship between different geological objects, so as to complete the structured construction. Therefore, the expression of geological data considers the semantic structure information of geological data, the geometric boundary data expression, and the expression of the association relationship between data. Due to the difference and diversity of the organization form and expression of geological data, a unified data model and data organization process are constructed to realize different needs in data integration, management and application. The present application realizes the consistent expression of the geometric information and topology of the geological object by using a unified data model based on a logical point.

[0046] In the present application, the coal mine geological object can be a stratum interface, a coal seam roof surface, a fault surface, a rock body boundary surface, and a geological anomaly body boundary surface (such as a collapse column and a goaf) and the like. The main information of the geological object includes a geological object identifier, an object type, an object name, and key attributes and the like. The present application does not limit this.

[0047] In the present application, multi-source original data can be acquired, and the multi-source original modeling data is digitally processed by a geographic information system (GIS) tool to obtain spatial entity points of each geological object.

[0048] For coal mine multi-source original data, at least two of the following can be included: geological plan, geological profile, drilling data, roadway plan, measured profile, and geological outcrop. If the multi-source original data includes geological plan, geological profile, drilling data, roadway plan, measured profile, and geological outcrop, etc., the spatial entity points of the following geological objects can be acquired: stratum plan boundary, stratum top and bottom boundary, coal seam roof, coal seam floor, and fault.

[0049] In order to edit and control the spatial entity points, a control point field attribute can be added. If it is a control point, the spatial entity point cannot be modified, indicating that the point comes from accurate observation data, such as drilling stratification points or coal mine roadway measured points. If it is not a control point, the point position can be modified, and the entity point data comes from artificial interpretation or predicted data.

[0050] The data structure of the spatial entity point is shown in Table 1 below, and the spatial entity point is uniformly organized and stored and managed.

[0051] Table 1: Spatial entity point format table

[0052] Data Tag ID Point X Coordinate Point Y Coordinate Point Z Coordinate Whether Control Data POINT3D 1 2640.0 6604.6875 -1031.25 Yes, only reference can not be modified … … … … … POINT3D 350 400.0 7290.77929 -1031.25 No, referenced data can be updated

[0053] As shown in Table 1, the data structure of the spatial entity point can include the logical number of the point (such as ID), three-dimensional coordinates (X, Y, Z), and whether the data is controlled or not.

[0054] In step 102, the spatial entity points are organized into logical points of each geological object according to the spatial position characteristics of the geological objects.

[0055] The geological object has a certain spatial geometric form, and the geometric form is generally a surface. Due to the spatial contact and intersection relationship between the geological objects, the surfaces intersect at a certain curve in space, and the position of the same spatial entity point can be on multiple geological objects. In order to guarantee the independence of the geological objects, i.e., each geological object maintains its own point position information, and at the same time ensures that only one spatial entity point can be at the same position. The present application introduces the concept of logical point to uniformly express the geological, geometric, and topological relationships of the abstract geological boundary object.

[0056] The logical point is the smallest unit to express the spatial position characteristics of the geological object, and is a type of objectification of the spatial entity point. In the present application, different logical points can refer to the same spatial entity point.

[0057] The following will be described in combination with Figure 2 and Figure 3 The following will be described in combination with Figure 2 The following will be described in combination with Figure 3 The following will be described in combination with Figure 2 The following will be described in combination with

[0058] Figure 2 In the space entity point A1-A8, Figure 4 There are 4 geological boundaries, which are the geological boundary between A1 and A4, the geological boundary between A2 and A8, the geological boundary between A3 and A5, and the geological boundary between A4 and A5.

[0059] Figure 3 In the space entity point A1-A8, Figure 2 In the space entity point A1-A8,

[0060] Step 103, the curves intersected by each geological object in space or the curves with certain geological implications are organized into logical boundaries, and the logical boundary is composed of a set of ordered logical points. The logical boundary includes a starting logical point, an ending logical point, and an internal logical point.

[0061] In the space entity point A1-A8,

[0062] In the space entity point A1-A8,

[0063] For example, Figure 3 In the space entity point A1-A8,

[0064] In this application, the topology relationship between logical points can be further determined by whether the logical points are inside or endpoints of the logical boundaries, such as inside intersection or endpoint intersection. For example, Figure 3 In the figure, the boundary between logical points B1 and B4 is an erosion boundary, which intersects with the logical boundary between logical points B10 and B12 inside, and intersects with the logical boundary between logical points B5 and B6 at an endpoint.

[0065] In this application, a logical boundary is generally required not to intersect with itself, where self-intersection means that at least two logical points other than the two endpoints refer to the same spatial entity point.

[0066] Through the characteristics of the logical boundary, the topology relationship of the logical boundary can be calculated by the 9-intersection topology relationship matrix of the logical points and the logical boundary. The description method and calculation of the topology relationship are not limited in this application.

[0067] Step 104, determining the face composed of the logical points and the logical boundary corresponding to the spatial entity points on the same planar geological object as a logical face.

[0068] In this application, the planar geological object is the main geological object that constitutes a geological body or divides the geological space, such as a fault plane, a stratigraphic interface, and a coal seam top and bottom surface.

[0069] In this application, the logical face can have multiple logical boundaries, and the multiple logical boundaries are connected according to the first and last points to form a topologically closed ring.

[0070] For example Figure 4 In this figure, the three logical points NR4, NR5, and NR6 can divide the boundary of SR2 into three logical boundaries LR3, LR4, and LR5, that is, SR2 has three logical boundaries LR3, LR4, and LR5, and in space, SR2 has a continuous ring-shaped boundary, and in logic, this boundary is composed of three logical boundaries separated by three logical points, Figure 4 In this figure, the solid line represents the inside relationship, and the dashed line represents the boundary relationship.

[0071] A logical face is a logical expression of a geometric geological interface in three-dimensional space, which refers to all geometric point information related to the interface. For example Figure 4 In this figure, the face SR2, the logical face refers to all logical points belonging to it, and records all three logical boundaries: LR3 from NR4 to NR5, LR5 from NR5 to NR6, and LR6 from NR6 to NR4, and three key logical points NR4, NR5, and NR6.

[0072] In addition, Figure 4In this context, logical surfaces, logical boundaries, and logical points can be considered to exist in different dimensions. The dimension of a logical surface can be considered as 2, the dimension of a logical boundary as 1, and the dimension of a logical point as 0.

[0073] Figure 5 This is a schematic diagram of logical point association provided for an embodiment of this application. Figure 5 In the diagram, MR1 to MR5 are spatial entity points, ATP1 to ATP10 are logical points, AB1 to AB4 represent logical boundaries, ASR5 represents a logical surface, solid lines represent internal relationships, and dashed lines represent boundary relationships.

[0074] Step 105: Based on the compositional relationship between geological bodies and geological interfaces, the logical surfaces are closed to form a logical body.

[0075] In this application, a geological body is composed of geological interfaces. For example, a stratigraphic element type is mainly composed of a top surface and a bottom surface. The geometric shape of a geological body is expressed through a logical body; therefore, the logical body is composed of logical surfaces corresponding to the geological interfaces that constitute the geological body.

[0076] Step 106: Organize all logical surfaces and logical bodies into a complete logical model to express the logical structure of the final geological model.

[0077] In this application, the logical model can be used to express the logical structure of the final geological model. The logical model records different logical surfaces and all boundary information on these surfaces. Simultaneously, the logical model indexes all spatial entity points within the model region. These spatial entity points have spatial location information and are guaranteed to be unique. For example... Figure 4 In the logical model, there is one and only one spatial entity point corresponding to the logical point NR4.

[0078] In this application, the spatial topological features of coal mine faults, strata, rock masses and geological anomalies are expressed by utilizing logical point relationships, thereby achieving consistency between geological semantics and spatial features and constructing geological models.

[0079] In this embodiment, spatial entity points of various geological objects in the coal mine are obtained, and based on the spatial location characteristics of each geological object, the spatial entity points are organized into logical points of each geological object. The intersecting curves of various geological objects in space or curves with certain geological meanings are organized into logical boundaries. The surfaces formed by the logical points and logical boundaries corresponding to the spatial entity points on the same planar geological object are determined as logical surfaces. Then, based on the compositional relationship between geological bodies and geological interfaces, the logical surfaces are closed to form logical bodies. Finally, all logical surfaces and logical bodies are organized into a complete logical model to express the logical structure of the final geological model. Thus, based on the integrated logical model of logical points, the semantic information and spatial topological consistency of geological objects are expressed, which facilitates data integration and geological modeling construction.

[0080] The multi-source data fusion mainly considers abstract expression of different types of data, so as to unify them in a spatial model. In the application, the digital spatial data expression method is utilized, and the data integration is realized by combining the coal mine data and the geological model expression mechanism.

[0081] In an embodiment of the application, the multi-source original modeling data of the coal mine can be processed by using the above-mentioned coal mine geological object data organization and integration method based on the logical point association, so as to obtain the position information of the spatial entity points of each geological object and the topology of the entity points, and obtain the logical model of the coal mine according to the position information of the spatial entity points of each geological object and the topology of the entity points, and then obtain the coal mine geological model based on the logical model. The following will be described in combination with Figure 6 , Figure 6 a data integration method based on GIS and driven by data provided by the embodiment of the application.

[0082] In view of the intelligent mining demand and the characteristics of the coal mine geological modeling, in the application, the accurate three-dimensional geological model is established from the drilling, cross section, geological map, roadway and seismic data interpretation result and geophysical data. The method is actually an integrated modeling process based on the digital data in GIS.

[0083] In actual application, it is difficult to ensure that all the error correction information can be effectively saved, especially since all the data of the coal mine is dynamically updated along with the production and organization activities of the mine, and this work is often repeated, so that the local correction of the modeling result is inappropriate. When the newly added data or the reinterpreted existing data is regarded as the digital source data in GIS. When all the source data is updated and prepared, the integrated modeling process can be restarted.

[0084] The source data driven dynamic updating modeling method is as shown in Figure 6 , mainly including three steps: geoscience data integration and surface net reconstruction. The geoscience data integration is to use the GIS tool to digitize the multi-source data, and establish the modeling source database.

[0085] As shown in Figure 6 , the original modeling data can include the geological plan, the geological profile, the drilling data, the roadway engineering plan, the measured profile and the geological outcrop, the three-dimensional seismic interpretation result and the like. The coal mine multi-source data reveals different geological information and geological identification.

[0086] The geological plane and the geological profile can be used to analyze geological outcrop and exploration data. The spatial boundary of strata and structures (including geological anomaly zones) is constantly changing and updating from surface mapping to greater depth in the process of coal mine production; wellbore data (such as drilling data) can well reflect the strata structure and rock physical information, and the use of logging curves can well reflect the strata structure and rock physical information in the drilling process, which is useful for verifying other data and three-dimensional models; the measured profile and the geological outcrop can accurately reflect the changes of strata and geological structures near the roadway, and the geological interpretation is accurate; the roadway and the measuring point in the roadway engineering plane can provide accurate depth coordinates of the coal seam floor or roof, and these data are helpful to understand the characteristics of strata and rocks along the roadway without drilling; the three-dimensional seismic interpretation result is the data after three-dimensional seismic post-stack processing and artificial interpretation, and the time-depth conversion is the spatial position reflecting the coal seam floor or roof and the spatial position of the artificial interpreted fault.

[0087] According to the coal-forming environment and sequence stratigraphy characteristics of coal measures strata, each stratum (geological body) is divided into two faces: top and bottom. The top and bottom faces are assigned two attributes: upper and lower. Since the source data used for modeling the top and bottom faces are sparse and independent, they are all digitized and managed as points. These digitized and digitized geometric objects are also mapped into the same reference projection system as the source data for surface-based modeling.

[0088] For the geoscience data integration part in Figure 6 In this application, the original modeling data such as geological plane, geological profile, drilling data, roadway engineering plane, measured profile and geological outcrop, etc. can be digitized using GIS tools to obtain the position information of the spatial entity points of geological plane boundary, strata top boundary, coal seam roof, coal seam floor, fault, etc. and the relationship between the entity points.

[0089] For example, the geological plane is digitized, and the geological plane boundary is obtained according to the results of attribute extraction of the geological profile; the strata top boundary can be obtained by processing the drilling data and the results of attribute extraction of the geological profile; the coal seam floor can be obtained by extracting the measuring points from the roadway engineering plane.

[0090] Then, the spatial entity points of geological plane boundary, strata top boundary, coal seam roof, coal seam floor, fault, etc. and the relationship between the spatial entity points are stored in the modeling source database, and the position information of the spatial domain scatter points obtained based on the three-dimensional seismic interpretation result is stored in the modeling source database. For the data in the modeling source database, the above-mentioned coal mine geological object data organization and integration method based on logical point association can be used to obtain the logical model of the coal mine, and the logical model can be stored in the logical point association database.

[0091] Afterwards, according to the logical model stored in the logical point association database, fault surfaces and stratigraphic surfaces can be constructed, and the geological body model can be obtained by closing the fault surfaces and the stratigraphic surfaces.

[0092] Figure 6 The source data driven modeling process shown not only effectively utilizes various data, but also does not lose correction information, and the process also dynamically changes with actual changes of the coal mine.

[0093] Figure 7 Another flowchart of a coal mine geological object data organization and integration method based on logical point association provided in the embodiments of the present application is shown.

[0094] As Figure 7 shown, the coal mine geological object data organization and integration method based on logical point association includes:

[0095] Step 701, obtaining spatial entity points of each geological object of the coal mine.

[0096] Step 702, organizing the spatial entity points into logical points of each geological object according to spatial position characteristics of each geological object.

[0097] Step 703,

[0098] Organizing curves intersecting each geological object in space or curves having certain geological implications into logical boundaries.

[0099] Step 704, determining a surface formed by logical points and logical boundaries corresponding to spatial entity points on the same planar geological object as a logical surface.

[0100] Step 705, closing the logical surfaces to form logical bodies according to a constituting relationship between the geological bodies and the geological interfaces.

[0101] Step 706, organizing all the logical surfaces and the logical bodies into a complete logical model to express a logical structure of a final geological model.

[0102] In the present application, steps 701-706 are similar to the contents described in the above embodiments, and thus will not be described here again.

[0103] Step 707, storing the logical model according to a preset spatial entity point format, a logical point format, a logical boundary format, a logical surface format and a logical body format.

[0104] In the present application, the data structure design of the logical model mainly considers efficient access of geometric and topological information, and at the same time optimizes data storage for modeling method implementation as much as possible.

[0105] In the present application, the logical model can be stored according to preset spatial entity point format, logical point format, logical boundary format, logical face format, logical body format, etc.

[0106] The spatial entity point format can include the following information: data flag, spatial entity point identification, three-dimensional coordinates, whether to control data, etc. Here, the three-dimensional coordinates can refer to the three-dimensional coordinates of the spatial entity point. The logical point format can include the following information: data flag, logical point identification, reference spatial entity point identification, affiliated object, associated edge, whether to control data, etc. The logical boundary format includes the following information: data flag, logical boundary identification, starting logical point, ending logical point, internal logical point, affiliated object, affiliated logical face. The logical face format includes the following information: data flag, logical face identification, logical edge set, affiliated object, affiliated logical body. The logical body format includes the following information: data flag, logical body identification, logical face set, affiliated object, etc.

[0107] The data structure core of the logical model can be composed of a point data model and an association relationship model. The two data models can be distinguished and identified by a data flag bit. Here, a face data table is taken as an example for a simple description. The face data can be expressed by point and triangle information. Here, the point flag is a logical point ATOM, and the triangle flag is TRGL.

[0108] As shown in Table 1 above, the spatial entity point format can include the logical number (such as ID) of the point, three-dimensional coordinates (X, Y, Z), whether to control data, etc. As shown in Table 2, the logical point format can be logically organized by referencing point data and recording associated edges.

[0109] Table 2: Logical point format table

[0110]

[0111] As shown in Table 2, the logical point can be composed of id (i.e., identification), reference spatial entity point, affiliated object, affiliated logical edge, and affiliated logical face information.

[0112] The reference spatial entity point is an id reference to the spatial entity point; the affiliated object is an id reference to the belonging geological object; the affiliated logical edge is an id reference to the logical edge, indicating that the logical point uniquely belongs to a specific logical edge; the affiliated logical face is an id reference to the logical face, indicating that the logical point uniquely belongs to a specific logical face; a logical point must belong to a logical face, indicating that the face has control information at this point; a logical point can not belong to a logical edge, so the field affiliated logical edge can be empty, indicating that the logical point is at the non-boundary of the logical face.

[0113] The space entity point information referenced by the logical point can find all logical points associated with the same space entity point position, and then the relationship between other logical edges or logical faces and the logical face where the logical point is located can be determined through the logical point, such as internal intersection or boundary intersection.

[0114] For example, Figure 3 The logical point B2 in the middle is an internal logical point on the logical boundary between the logical points B1 and B4. It can be seen that the logical boundary between the logical points B1 to B4 and the logical boundary between B10 to B12 are internally intersected, and the logical boundary between the logical points B1 to B4 and the logical boundary between the logical points B5 to B6 are boundary intersected.

[0115] Table 3: Logical boundary format table

[0116]

[0117] In Table 3, the start node is the above-mentioned starting logical point, the end node is the above-mentioned ending logical point, and the internal node is the above-mentioned internal logical point.

[0118] Table 4: Logical face format table

[0119] Data Tag SURFACEATOMID Logical Edge Set Subordinate Object Subordinate Logical Body SURFACEATOM 1 BorderAtomSet FEATUREID BODYATOMID … … … … SURFACEATOM 78 BorderAtomSet FEATUREID BODYATOMID

[0120] Table 5: Logical body format table

[0121] Data Tag BODYATOMID Logical Surface Set Subordinate Object BODYATOM 1 SurfaceAtomSet FEATUREID … … … … BODYATOM 8 SurfaceAtomSet FEATUREID

[0122] When the surface network is reconstructed to obtain the geological body model, the interpolation of a point is only related to the contact point set of the point and the constraint acting on the point. The value of the point α to be calculated in the expression of the solution is Therefore, the reference to the near neighbor in the "point" data structure is considered to facilitate query and improve efficiency. The logical point data memory model shown in the following Figure 8 can be used.

[0123] As Figure 8 shown in the logical point Atom(k) memory model structure diagram, Figure 8 The structure includes the kernel data KERNEL, the number of near neighbors nNeibor, the near neighbor set NeiSet, the constraint set ConstrainSet, and additional information. The near neighbor set includes logical points Atom(j1) to Atom(jn), and the constraint set ConstrainSet includes constraints Constrain1 to Constrain m, where n and m are positive integers greater than 1.

[0124] To implement the above embodiments, this application also proposes a device for organizing and integrating coal mine geological object data based on logical point association. Figure 9 This is a schematic diagram of the structure of a coal mine geological object data organization and integration device based on logical point association provided in an embodiment of this application.

[0125] like Figure 9 As shown, the coal mine geological object data organization and integration device 900 based on logical point association includes:

[0126] Module 910 is used to acquire spatial entity points of geological objects in various parts of the coal mine;

[0127] The first determining module 920 is used to organize spatial entity points into logical points of each geological object based on the spatial location characteristics of each geological object.

[0128] The second determining module 930 is used to organize the curves of the intersection of geological objects in space or curves with certain geological meanings into logical boundaries. The logical boundaries are composed of a set of ordered logical points, including starting logical points, ending logical points and internal logical points.

[0129] The third determining module 940 is used to determine the surface composed of logical points and logical boundaries corresponding to spatial entity points on the same planar geological object as a logical surface. The logical surface has multiple logical boundaries, and the multiple logical interfaces are connected according to the first and last points to form a topologically closed ring.

[0130] The fourth determining module 950 is used to enclose logical surfaces to form logical bodies based on the structural relationship between geological bodies and geological interfaces.

[0131] The generation module 960 is used to organize all logical surfaces and logical volumes into a complete logical model to express the logical structure of the final geological model. The logical model indexes all spatial entity points of each geological object, with each logical point corresponding to a spatial entity point.

[0132] In one possible implementation of this application embodiment, the device may further include:

[0133] The storage module is used to store the logical model according to preset spatial entity point format, logical point format, logical boundary format, logical surface format and logical volume format;

[0134] The space entity point format includes the following information: data flag, space entity point identification, three-dimensional coordinates, and whether to control data. The logical point format includes the following information: data flag, logical point identification, identification of a referenced space entity point, belonging object, associated edge, and whether to control data. The logical boundary format includes the following information: data flag, logical boundary identification, starting logical point, ending logical point, internal logical point, belonging object, and belonging logical surface. The logical surface format includes the following information: data flag, logical surface identification, logical edge set, belonging object, and belonging logical body. The logical body format includes the following information: data flag, logical body identification, logical surface set, and belonging object.

[0135] In a possible implementation manner of the embodiment of the present application, the logical point memory structure includes the following information: number of neighbors, neighbor set, constraint set, and additional information, wherein the neighbor set includes identification of a neighbor logical point.

[0136] In a possible implementation manner of the embodiment of the present application, the obtaining module 610 is configured to:

[0137] The multi-source original data includes at least two of a geological plan, a geological profile, drilling data, a roadway plan, a measured profile, and a geological outcrop.

[0138] The multi-source original data is subjected to digital processing to obtain space entity points of each geological object.

[0139] It should be noted that the above explanation and description of the coal mine geological object data organization and integration method based on logical point association also applies to the coal mine geological object data organization and integration device based on logical point association of the embodiment, and thus will not be described herein again.

[0140] In the embodiment of the present application, space entity points of each geological object of a coal mine are obtained, and the space entity points are organized into logical points of each geological object according to spatial position characteristics of each geological object. Curves intersecting each other in space or having a certain geological meaning are organized into logical boundaries, and a surface formed by logical points and logical boundaries corresponding to space entity points on the same planar geological object is determined as a logical surface. Then, according to a constituting relationship between a geological body and a geological interface, the logical surface is closed to form a logical body. Finally, all logical surfaces and logical bodies are organized into a complete logical model to express a logical structure of a final geological model. Thus, the integrated logical model based on logical points realizes consistent expression of semantic information and spatial topology of geological objects, and facilitates data integration and geological modeling construction.

[0141] In order to implement the above embodiment, the embodiment of the present application further proposes a computer device including a processor and a memory.

[0142] The processor runs a program corresponding to executable program code stored in the memory by reading the executable program code, to implement the method for organizing and integrating coal mine geological object data based on logical point association as described in the above embodiments.

[0143] To implement the above embodiments, the embodiments of the present application further propose a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the method for organizing and integrating coal mine geological object data based on logical point association as described in the above embodiments.

[0144] To implement the above embodiments, the embodiments of the present application further propose a computer program product comprising a computer program, which, when executed by a processor, implements the steps of the method for organizing and integrating coal mine geological object data based on logical point association as described in the above embodiments.

[0145] In the description of the present application, the terms "first", "second" are only used for descriptive purposes, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined with "first", "second" can explicitly or implicitly include at least one of the features. In the description of the present application, the meaning of "a plurality of" is at least two, for example, two, three, etc., unless otherwise specifically limited.

[0146] Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limiting the present application, and those skilled in the art can make changes, modifications, replacements and variations to the above embodiments within the scope of the present application.

Claims

1. A method for organizing and integrating coal mine geological object data based on logical point association, characterized in that, include: Obtain spatial entity points of geological objects in various coal mines; Based on the spatial location characteristics of each geological object, the spatial entity points are organized into logical points of each geological object; The curves or geologically meaningful curves that intersect in space among the geological objects are organized into logical boundaries. The logical boundaries are composed of a set of ordered logical points, including a starting logical point, an ending logical point, and internal logical points. A logical surface is defined as the surface formed by the logical points and logical boundaries corresponding to the spatial entity points on the same planar geological object. The logical surface has multiple logical boundaries, which are connected according to the first and last points to form a topologically closed ring. Based on the structural relationship between geological bodies and geological interfaces, the logical surfaces are closed to form a logical body; All logical surfaces and logical bodies are organized into a complete logical model to express the logical structure of the final geological model, wherein the logical model indexes all spatial entity points of each geological object, and each logical point corresponds to a spatial entity point; After organizing all logical surfaces and logical bodies into a complete logical model, the following is also included: The logical model is stored according to the preset spatial entity point format, logical point format, logical boundary format, logical surface format, and logical volume format; The spatial entity point format includes the following information: data identifier, spatial entity point identifier, three-dimensional coordinates, and whether control data is used; the logical point format includes the following information: data identifier, logical point identifier, identifier of the referenced spatial entity point, member object, associated edge, and whether control data is used; the logical boundary format includes the following information: data identifier, logical boundary identifier, starting logical point, ending logical point, internal logical point, member object, and member logical surface; the logical surface format includes the following information: data identifier, logical surface identifier, logical edge set, member object, and member logical body; the logical body format includes the following information: data identifier, logical body identifier, logical surface set, and member object.

2. The method as described in claim 1, characterized in that, The logical point memory structure includes the following information: number of nearest neighbors, nearest neighbor set, constraint set, and additional information, wherein the nearest neighbor set includes the identifiers of the nearest logical points.

3. The method as described in claim 1, characterized in that, The acquisition of spatial entity points of various geological objects in the coal mine includes: Acquire multi-source raw data, wherein the multi-source raw data includes at least two of the following: geological plan, geological profile, borehole data, tunnel plan, measured profile, and geological outcrops; The multi-source raw data is digitally processed to obtain the spatial entity points of the geological objects in each region.

4. A device for organizing and integrating coal mine geological object data based on logical point association, characterized in that, include: The acquisition module is used to acquire spatial entity points of geological objects in various parts of the coal mine; The first determining module is used to organize the spatial entity points into logical points of each geological object based on the spatial location characteristics of each geological object. The second determining module is used to organize the curves or curves with geological meaning that intersect in space from various geological objects into logical boundaries. The logical boundaries are composed of a set of ordered logical points, including a starting logical point, an ending logical point, and internal logical points. The third determining module is used to determine the surface composed of logical points and logical boundaries corresponding to spatial entity points on the same planar geological object as a logical surface. The logical surface has multiple logical boundaries, and the multiple logical boundaries are connected according to the first and last points to form a topologically closed ring. The fourth determining module is used to enclose the logical surface to form a logical body based on the structural relationship between the geological body and the geological interface; The generation module is used to organize all logical surfaces and logical bodies into a complete logical model to express the logical structure of the final geological model. The logical model indexes all spatial entity points of each geological object, and each logical point corresponds to a spatial entity point. Also includes: The storage module is used to store the logical model according to preset spatial entity point format, logical point format, logical boundary format, logical surface format and logical volume format; The spatial entity point format includes the following information: data identifier, spatial entity point identifier, three-dimensional coordinates, and whether control data is used; the logical point format includes the following information: data identifier, logical point identifier, identifier of the referenced spatial entity point, member object, associated edge, and whether control data is used; the logical boundary format includes the following information: data identifier, logical boundary identifier, starting logical point, ending logical point, internal logical point, member object, and member logical surface; the logical surface format includes the following information: data identifier, logical surface identifier, logical edge set, member object, and member logical body; the logical body format includes the following information: data identifier, logical body identifier, logical surface set, and member object.

5. The apparatus as described in claim 4, characterized in that, The logical point memory structure includes the following information: number of nearest neighbors, nearest neighbor set, constraint set, and additional information, wherein the nearest neighbor set includes the identifiers of the nearest logical points.

6. The apparatus as claimed in claim 4, characterized in that, The acquisition module is used for: Acquire multi-source raw data, wherein the multi-source raw data includes at least two of the following: geological plan, geological profile, borehole data, tunnel plan, measured profile, and geological outcrops; The multi-source raw data is digitally processed to obtain the spatial entity points of the geological objects in each region.

7. A computer device, characterized in that, Including processor and memory; The processor reads executable program code stored in the memory to run a program corresponding to the executable program code, so as to implement the method as described in any one of claims 1-3.

8. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by the processor, it implements the method as described in any one of claims 1-3.

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