Multi-stage gas geological map efficient compilation method and system based on data cross-stage multiplexing

Abstract

The invention relates to a multi-stage gas geology map efficient compilation method based on data cross-stage multiplexing, and belongs to the technical field of coal mine gas geology, and the method comprises the following steps: S1, digitalizing gas geology basic information, and providing a digital base map for compilation of a gas geology map; s2, constructing a gas parameter prediction model; s3, generating a coal-level gas geological map; s4, using a vector data and raster data cutting algorithm to obtain mining area level and working face level gas geological maps; and S5, dynamically updating the gas geologic map based on gas geologic information disclosed by mining and digging activities. The intelligent level and compilation efficiency of coal mine gas geological map compilation are remarkably improved, and a guidance basis is provided for accurate control of coal mine gas occurrence characteristics and accurate prevention and control of gas disasters.

Description

Technical Field

[0001] The present invention belongs to the technical field of coal mine gas geology, and relates to an efficient compilation method and system for multi-level gas geology maps based on data cross-level reuse. Background Art

[0002] The gas geology map is a comprehensive carrier of gas geology information and an important map reflecting the gas occurrence characteristics in coal mines. It has important guiding significance for mine planning, design, production, etc. Through the compilation of the gas geology map, the macroscopic control of the gas occurrence characteristics in the mine can be carried out, and thus a basis can be provided for the accurate formulation of gas disaster prevention and control measures, gas extraction measures, etc.

[0003] In coal mine production, there are significant differences in the requirements for gas geology maps among different departments. To meet these differentiated requirements, it is often necessary to compile multi-level gas geology maps at the coal seam level, mining area level, working face level, etc. However, the currently commonly used CAD software in coal mines exposes many problems in the compilation of gas geology maps. On the one hand, its compilation efficiency is low, and often more human and time costs need to be invested; on the other hand, with the continuous acceleration of the coal mine excavation process, various types of gas geology information revealed in production show a significant increase. How to use this information for the rapid and efficient compilation and dynamic update of gas geology maps, and then guide the accurate prevention and control of coal mine gas disasters has become an important issue restricting coal mine safety production.

[0004] Therefore, it is necessary to study an efficient compilation method and system for multi-level gas geology maps based on data cross-level reuse, which can achieve the rapid and efficient compilation and dynamic update of multi-level gas geology maps, improve the intelligent compilation efficiency of coal mine gas geology maps, and provide a guiding basis for the accurate control of coal mine gas occurrence characteristics and the accurate prevention and control of gas disasters. Summary of the Invention

[0005] In view of this, the purpose of the present invention is to provide an efficient compilation method and system for multi-level gas geology maps based on data cross-level reuse.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] On the one hand, the present invention provides an efficient compilation method for multi-level gas geology maps based on data cross-level reuse, including the following steps:

[0008] S1: Digitalize the basic gas geology information to provide a digital base map for the compilation of gas geology maps;

[0009] S2: Construct a gas parameter prediction model;

[0010] S3: Generate a gas geology map at the coal seam level;

[0011] S4: Use the vector data and raster data clipping algorithms to obtain the gas geology maps at the mining area level and the working face level;

[0012] S5: Dynamically update the gas geology maps based on the gas geology information revealed by mining and tunneling activities.

[0013] Furthermore, the digital base map described in step S1 includes coal seam floor contour lines, geological exploration boreholes, roadway engineering, geological structures, longitude and latitude grids, weathered zones, gas parameter measuring points, and graphic legends. Analyze according to the different functional structure attribute characteristics of the mine gas geology basic data, and use the "layer" structure to manage and store the data.

[0014] Furthermore, in step S2, the gas parameter prediction models include a gas content prediction model, a gas pressure prediction model, and an original gas emission volume prediction model. By analyzing the gas parameter data measured during the comprehensive geological exploration period or the production period, determine the influencing factors of the gas parameters, identify the main controlling factors of gas occurrence, and establish a unary or multivariate gas parameter prediction model, laying a foundation for the generation of the coal seam level gas geology map. The calculation formulas are as follows:

[0015] Gas content prediction model: W = f1(x1, x2, ···, x n )

[0016] Gas pressure prediction model: P = f2(x1, x2, ···, x n )

[0017] Gas emission volume prediction model: Q = f3(x1, x2, ···, x n )

[0018] Where x1, x2,..., x n are the main controlling factors of gas occurrence.

[0019] Furthermore, in step S3, based on the gas content, pressure, and emission volume data predicted by the gas parameter prediction model, generate gas parameter prediction isopleths and corresponding raster maps on the digital base map to obtain the coal seam level gas geology map.

[0020] Furthermore, the gas geology maps at the mining area level and the working face level are obtained by cutting and optimizing within a certain range based on the coal seam level gas geology map;

[0021] The cutting of the gas geology maps at the mining area level and the working face level includes the cutting of vector data and the cutting of raster data; the cutting of vector data is to use all the vector layers of the gas geology map to be cut as the target data set, check the layer elements one by one, and discard the graphics that are separated from the cutting range, otherwise perform the graphic cutting operation; the cutting of raster data is to check raster pixels row by row and column by column, retain the pixel values within the cutting range, otherwise mark them as no-value pixels;

[0022] The optimization of the gas geology maps at the mining area level and the working face level adopts two algorithms: vector smoothing and raster resampling. The vector smoothing algorithm interpolates geometric nodes into line and surface elements to make the polyline and boundary smoother. The raster resampling algorithm extracts the eigenvalue of each pixel from the raster again and interpolates it according to the new raster resolution to generate a more refined raster data.

[0023] Furthermore, the graphic clipping operation in the vector data clipping is divided into point feature clipping, line feature clipping, and surface feature clipping according to the primitive type. Among them, the point features are directly retained, and only the parts of the line features and surface features that overlap with the clipping range are retained.

[0024] Furthermore, the dynamic update of the gas geology map is based on the gas geology information revealed by mining and excavation activities to update the digital base map of the gas geology basic information. At the same time, based on the gas parameters measured during the mining and excavation process, the Kriging interpolation method is used to automatically update the gas parameter prediction model. Then, the updated coal seam level gas geology map is obtained by using the method of step S3, and the updated gas geology maps at the mining area level and the working face level are obtained by using the method of step S4.

[0025] On the other hand, the present invention provides a high-efficiency compilation system for multi-level gas geology maps based on cross-level data reuse, including a gas geology database with separated graphics and data, a data management module, a layer management module, a map management module, and a drawing and editing module.

[0026] The gas geology database with separated graphics and data includes a basic information database and a spatial graphics database. The basic information database is used to store various basic information. The spatial graphics database contains gas geology graphics for separately and independently storing different ranges at each level.

[0027] The data management module is used to manage coal seam parameters, gas parameters, geological data, and prediction indicators.

[0028] The layer management module is used to manage geological structure layers, contour lines layers, raster layers, contour lines layers, and roadway layers.

[0029] The map management module is used to manage the coal seam level gas geology map, the mining area level gas geology map, and the working face level gas geology map.

[0030] The drawing and editing module is used for graphic editing, data import, data clipping, and dynamic update.

[0031] Furthermore, when filling in the gas geology parameters on the map, retrieve the gas geology parameter data points within the range of this level from the basic information database, and dynamically generate gas geology symbol annotations according to the map compilation standard of the gas geology map.

[0032] The beneficial effects of the present invention are as follows: A method and system for efficiently compiling multi-level gas geological maps based on data cross-level reuse provided by the present invention adopt the data cross-level reuse method, realizing the rapid and efficient compilation and dynamic update of multi-level gas geological maps, significantly improving the intelligent level and compilation efficiency of coal mine gas geological map compilation, and providing a guiding basis for accurately grasping the gas occurrence characteristics and accurately preventing and controlling gas disasters in coal mines.

[0033] Other advantages, objectives, and features of the present invention will be described to some extent in the subsequent specification, and to some extent, will be obvious to those skilled in the art based on the study of the following text, or can be taught from the practice of the present invention. The objectives and other advantages of the present invention can be achieved and obtained through the following specification. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] In order to make the objectives, technical solutions, and advantages of the present invention clearer, the present invention will be described in detail preferably with reference to the accompanying drawings, where:

[0035] Figure 1 is the flow chart of the method for efficiently compiling multi-level gas geological maps based on GIS;

[0036] Figure 2 is the structure diagram of the gas geological database;

[0037] Figure 3 is the functional architecture diagram of the system for efficiently compiling multi-level gas geological maps;

[0038] Figure 4 is the gas geological map at the coal seam level;

[0039] Figure 5 is the gas geological map at the mining area level;

[0040] Figure 6 is the gas geological map at the working face level. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0041] The following specific examples illustrate the embodiments of the present invention. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments, and various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that the diagrams provided in the following embodiments only illustrate the basic concept of the present invention schematically, and the following embodiments and the features in the embodiments can be combined with each other without conflict.

[0042] It should be noted that the illustrations provided in the following embodiments only schematically illustrate the basic concept of the present invention. Therefore, only the components related to the present invention are shown in the drawings, rather than being drawn according to the number, shape, and size of the components in actual implementation. The types, quantities, and proportions of the components in actual implementation can be arbitrarily changed, and the component layout type may also be more complex.

[0043] In the following description, a large number of details are explored to provide a more thorough explanation of the embodiments of the present invention. However, it is obvious to those skilled in the art that the embodiments of the present invention can be implemented without these specific details. In other embodiments, well-known structures and devices are shown in the form of block diagrams rather than in detail to avoid making the embodiments of the present invention difficult to understand.

[0044] Embodiment 1:

[0045] As Figure 1 shown, this embodiment provides an efficient compilation method for multi-level gas geology maps based on data cross-level reuse. The multi-level gas geology maps include coal seam-level gas geology maps, mining area-level gas geology maps, and working face-level gas geology maps. This method includes the following steps:

[0046] S1: Digitalize the basic gas geology information to provide a digital base map for the compilation of gas geology maps. Digitalizing the basic gas geology information to provide a digital base map for the compilation of gas geology maps includes coal seam floor contour lines, geological exploration boreholes, roadway engineering, geological structures, coordinate grids, weathering zones, gas parameter measurement points, graphic legends, etc. Analyze the "point, line, surface" and other different functional structure attribute characteristics of the mine gas geology basic data, and use the "layer" structure to manage and store the data.

[0047] S2: Build a gas parameter prediction model. The gas parameter prediction model includes a gas content prediction model, a gas pressure prediction model, and an original gas emission prediction model. Analyze the influencing factors of gas parameters by comprehensively using the gas parameter data measured during the comprehensive geological exploration period or the production period, determine the main controlling factors of gas occurrence, and establish a unary or multivariate gas parameter prediction model to lay a foundation for the generation of coal seam-level gas geology maps. The calculation formulas are as follows:

[0048] Gas content prediction model: W = f1(x1, x2, ···, x n )

[0049] Gas pressure prediction model: P = f2(x1, x2, ···, x n )

[0050] Gas emission prediction model: Q = f3(x1, x2, ···, x n )

[0051] Among them, x1, x2, x n are the main controlling factors for gas occurrence.

[0052] S3: Generate the gas geology map at the coal seam level; based on the gas content, pressure, and emission data predicted by the gas parameter prediction model, generate gas parameter prediction isograms and corresponding raster maps on the digital base map to obtain the gas geology map at the coal seam level.

[0053] S4: Use the vector data and raster data clipping algorithms to obtain the gas geology maps at the mining area level and the working face level; the gas geology maps at the mining area level and the working face level are obtained by cutting and optimizing within a certain range based on the gas geology map at the coal seam level.

[0054] The clipping of the gas geology maps at the mining area level and the working face level includes the clipping of vector data and the clipping of raster data. For vector data clipping, all vector layers of the gas geology map to be clipped are used as the target data set, and the layer elements are checked one by one. If the graphics that are separated from the clipping range are discarded, otherwise, the graphic clipping operation is performed.

[0055] The clipping operation is divided into point feature clipping, line feature clipping, and face feature clipping according to the graphic primitive type. Point features (including text annotations) are directly retained, and only the parts of line features and face features that overlap with the clipping range are retained.

[0056] For raster data clipping, check each raster pixel row by row and column by column. Retain the pixel values within the clipping range, otherwise mark them as no-value pixels.

[0057] The optimization of the gas geology maps at the mining area level and the working face level is an operation carried out because the range of the clipped coal seam gas geology map is large, the elements are relatively rough, and the visualization effect is not fine enough. The optimization uses two algorithms: vector smoothing and raster resampling. The vector smoothing algorithm interpolates geometric nodes into line and face elements to make the broken lines and boundaries smoother. The raster resampling algorithm extracts the feature values of the raster again by pixels and interpolates them again according to the new raster resolution to generate more refined raster data.

[0058] S5: Dynamically update the gas geology map based on the gas geology information revealed by mining and excavation activities, specifically including: updating the digital base map of the gas geology basic information based on the gas geology information revealed by mining and excavation activities, and at the same time, based on the gas parameters measured during mining and excavation, automatically update the gas parameter prediction model using the Kriging interpolation method, obtain the updated gas geology map at the coal seam level using the S3 method, and obtain the updated gas geology maps at the mining area level and the working face level using the S4 method.

[0059] Example 2

[0060] Such as Figures 2-3As shown in the figure, this embodiment provides a multi-level gas geological map efficient compilation system based on data cross-level reuse. This system is developed based on the GIS platform and includes: a gas geological database with separated graphics and data, a data management module, a layer management module, a map management module, and a drawing and editing module.

[0061] The gas geological database with separated graphics and data includes a basic information database and a spatial graphic database. The basic information database contains coal seam data tables, coal sample data tables, geological exploration borehole data tables, prediction index data tables, gas content data tables, gas pressure data tables, gas emission data tables, etc.; the spatial graphic database contains mining and excavation engineering layers, geological structure layers, geological borehole layers, raster layers, contour lines layers, etc.

[0062] The basic information database is uniformly stored in a single relational database, while independent spatial graphic databases need to be established for gas geological graphics with different ranges at each level. When filling in gas geological parameters on the map, retrieve the gas geological parameter data points within the range of this level from the parameter database, and dynamically generate gas geological symbol annotations according to the gas geological map compilation standard.

[0063] The design of the database with separated graphics and data avoids duplicate data entry and data redundancy, laying a foundation for the efficient generation of gas geological maps.

[0064] The data management module includes: coal seam parameter management, gas parameter management, geological data management, and prediction index management.

[0065] The layer management module includes: geological structure layer management, contour line layer management, raster layer management, contour layer management, roadway layer management, etc.;

[0066] The map management module includes: gas geological map management at the coal seam level, gas geological map management at the mining area level, gas geological map management at the working face level, as Figures 4-6 shown.

[0067] The drawing and editing module includes: graphic editing, data import, data cropping, dynamic update, etc.

[0068] In the above embodiment, the mention of "this embodiment" in the specification means that the specific features, structures, or characteristics described in combination with the embodiment are included in at least some embodiments, but not necessarily all embodiments. Multiple occurrences of "this embodiment" do not necessarily refer to the same embodiment.

[0069] In the above embodiments, although the present invention has been described in conjunction with specific embodiments of the present invention, many alternatives, modifications, and variations of these embodiments will be apparent to those of ordinary skill in the art based on the foregoing description. For example, other storage structures (e.g., dynamic RAM (DRAM)) may be used with the embodiments discussed. Embodiments of the present invention are intended to cover all such alternatives, modifications, and variations that fall within the broad scope of the appended claims.

[0070] This embodiment also provides a computer-readable storage medium having a computer program stored thereon, and when the program is executed by a processor, it implements any one of the methods in this embodiment.

[0071] This embodiment also provides an electronic terminal, including: a processor and a memory;

[0072] The memory is used to store a computer program, and the processor is used to execute the computer program stored in the memory so that the terminal executes any one of the methods in this embodiment.

[0073] For the computer-readable storage medium in this embodiment, those of ordinary skill in the art can understand that all or part of the steps of implementing the above method embodiments can be completed by hardware related to the computer program. The foregoing computer program can be stored in a computer-readable storage medium. When the program is executed, it executes the steps including the above method embodiments; and the foregoing storage medium includes: various media such as ROM, RAM, magnetic disk, or optical disc that can store program code.

[0074] The electronic terminal provided in this embodiment includes a processor, a memory, a transceiver, and a communication interface. The memory and the communication interface are connected to the processor and the transceiver and complete communication therebetween. The memory is used to store a computer program, the communication interface is used for communication, and the processor and the transceiver are used to run the computer program so that the electronic terminal executes each step of the above method.

[0075] In this embodiment, the memory may include a random access memory (Random Access Memory, abbreviated as RAM), and may also include a non-volatile memory, such as at least one disk memory.

[0076] The above-mentioned processor may be a general-purpose processor, including a Central Processing Unit (CPU for short), a Network Processor (NP for short), etc.; it may also be a Digital Signal Processor (DSP for short), an Application Specific Integrated Circuit (ASIC for short), a Field-Programmable Gate Array (FPGA for short), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components.

[0077] The present invention can be used in numerous general-purpose or special-purpose computing system environments or configurations. For example: personal computers, server computers, handheld or portable devices, tablet devices, multi-processor systems, microprocessor-based systems, set-top boxes, programmable consumer electronic devices, network PCs, minicomputers, mainframe computers, distributed computing environments including any of the above systems or devices, and so on.

[0078] The present invention can be described in the general context of computer-executable instructions executed by a computer, such as program modules. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform specific tasks or implement specific abstract data types. The present invention can also be practiced in a distributed computing environment, where tasks are performed by remote processing devices connected through a communication network. In a distributed computing environment, program modules can be located in local and remote computer storage media including storage devices.

[0079] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the present technical solution, and they should all be covered within the scope of the claims of the present invention.

Claims

1. An efficient method for compiling multi-level gas geological maps based on cross-level data reuse, characterized by: The following steps are involved: S1: Digitize the basic information of gas geology to provide a digital base map for the compilation of gas geological maps; S2: Construct gas parameter prediction model; S3: Generate coal seam-level gas geological map; S4: Using vector data and raster data clipping algorithms, obtain gas geological maps at the mining area level and working face level; S5: Dynamically update the gas geological map based on the gas geological information revealed by mining and excavation activities.

2. The method for efficiently compiling a multi-level gas geological map based on cross-level data reuse according to claim 1 is characterized in that: The digital base map in step S1 includes coal seam floor contour lines, geological exploration boreholes, shaft and tunnel engineering, geological structures, longitude and latitude grids, weathering zones, gas parameter measurement points, and diagram legends. The digital base map is analyzed based on the different functional structural attribute characteristics of the mine gas geological basic data, and a "layer" structure is used to manage and store data.

3. The method for efficiently compiling a multi-level gas geological map based on cross-level data reuse according to claim 1 is characterized in that: In step S2, the gas parameter prediction model includes a gas content prediction model, a gas pressure prediction model and an original gas outflow prediction model. Through the gas parameter data measured during comprehensive geological survey or production, the influencing factors of gas parameters are analyzed, the main controlling factors of gas occurrence are determined, and a one-dimensional or multi-dimensional gas parameter prediction model is established to lay the foundation for the generation of coal seam-level gas geological maps. The calculation formula is: Gas content prediction model: W = f1(x1, x2,…, x n ) Gas pressure prediction model: P = f2(x1, x2,…, x n ) Gas emission prediction model: Q = f3 (x1, x2, ..., x n ) where x1,x2,...,x n It is the main controlling factor for gas accumulation.

4. The method for efficiently compiling a multi-level gas geological map based on cross-level data reuse according to claim 1 is characterized in that: In step S3, based on the gas content, pressure and outflow volume data predicted by the gas parameter prediction model, gas parameter prediction contour lines and corresponding grid maps are generated on the digital base map to obtain a coal seam-level gas geological map.

5. The method for efficiently compiling a multi-level gas geological map based on cross-level data reuse according to claim 1 is characterized in that: The mining area-level and working face-level gas geological maps are obtained by cutting and optimizing within a certain range on the basis of the coal seam-level gas geological map; The cutting of the gas geological map at the mining area level and the working face level includes the cutting of vector data and the cutting of raster data; the cutting of vector data is to take all the vector layers of the gas geological map to be cut as the target data set, check the layer elements one by one, if the graphics are out of the cutting range, they are discarded, otherwise the graphics cutting operation is performed; the cutting of raster data is to check the raster pixels one by one by row first and then column, retain the pixel values ​​within the cutting range, otherwise mark them as valueless pixels; The optimization of the mining area-level and working face-level gas geological maps adopts two algorithms: vector smoothing and raster resampling. The vector smoothing algorithm interpolates geometric nodes into line and surface elements to make broken lines and boundaries smoother. The raster resampling algorithm re-extracts characteristic values ​​from the raster by pixel, and re-interpolates according to the new raster resolution to generate finer raster data.

6. The method for efficiently compiling a multi-level gas geological map based on cross-level data reuse according to claim 5 is characterized in that: The graphic clipping operation in the vector data clipping is divided into point feature clipping, line feature clipping and surface feature clipping according to the type of graphic element, among which point features are directly retained, and line features and surface features only retain the parts overlapping with the clipping range.

7. The method for efficiently compiling a multi-level gas geological map based on cross-level data reuse according to claim 1 is characterized in that: The dynamic updating of the gas geological map is based on the gas geological information revealed by the mining and excavation activities, and the digital base map of the basic information of gas geology is updated. At the same time, based on the gas parameters measured during the mining and excavation process, the Kriging interpolation method is used to automatically update the gas parameter prediction model, and then the method of step S3 is used to obtain the updated coal seam-level gas geological map, and the method of step S4 is used to obtain the updated mining area-level and working face-level gas geological maps.

8. An efficient compilation system for multi-level gas geological maps based on cross-level data reuse, characterized by: The method is applicable to any one of claims 1 to 7, comprising a gas geological database with image and data separation, a data management module, a layer management module, a map management module, and a drawing editing module; The gas geological database with separated graphics and numbers includes a basic information database and a spatial graphics database. The basic information database is used to store various basic information; the spatial graphics database includes graphics for independently storing gas geological graphics of different ranges at different levels; The data management module is used to manage coal seam parameters, gas parameters, geological data and prediction indicators; The layer management module is used to manage the geological structure layer, the contour layer, the grid layer, the contour layer and the tunnel layer; The map management module is used to manage coal seam-level gas geological maps, mining area-level gas geological maps and working face-level gas geological maps; The drawing editing module is used for graphic editing, data importing, data cutting, and dynamic updating.

9. The efficient compilation system of multi-level gas geological maps based on cross-level data reuse according to claim 8 is characterized in that: When mapping gas geological parameters, the gas geological parameter data points within the level are retrieved from the basic information database, and gas geological symbol annotations are dynamically generated according to the gas geological map compilation standards.

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