CN116542804A - Quantitative evaluation method, device, equipment and storage medium for coal mine geological structure - Google Patents

Abstract

The invention relates to a quantitative evaluation method, a device, equipment and a storage medium for coal mine geological structures, which comprise the following steps: acquiring mining area information, and processing to obtain structural development characteristics and stress field information of the mining area; according to the development characteristics of the mining area structure and the stress field information, geological analysis is carried out to obtain the structure distribution rule information of the mining area; adding an algorithm model to analyze the distribution rule information to obtain construction mode information about a mine; and quantitatively evaluating and predicting the construction mode information to obtain construction rules and prediction information. According to the technical scheme provided by the embodiment of the invention, the structural development characteristics and stress field information of the area are obtained by analyzing the existing mining area information through a quantitative evaluation method, the distribution rule information of the mining area structure is obtained through comprehensive evaluation, the distribution rule information is analyzed through an algorithm model, the mine structure and the spreading rule are evaluated and predicted, and the development layout and the safe and efficient production of the coal mine are guided.

Description

A quantitative evaluation method, device, equipment and storage medium for coal mine geological structure

technical field

The invention relates to the technical field of coal mine geological exploration, in particular to a quantitative evaluation method, device, equipment and storage medium of coal mine geological structure.

Background technique

The geological structure of the coal mine area, especially the geological structure of the mine is an important geological factor affecting mine construction and coal mine production, such as coal thickness change, roof stability, magma intrusion, karst subsidence, ground temperature and pressure, mine earthquake rockburst, gas outburst, mine Various mining geological conditions such as water inrush play a decisive role in the selection of coal mine shaft type design and development methods, and are also the prerequisites for mine water inrush, coal and gas outburst.

The existing prediction methods for the geological structure of the mine area to be mined mainly include geological analysis and prediction and algorithm model analysis. Geological analysis and prediction include coal seam drilling, shear wave seismic, ground seismic, aeromagnetic, ground geomagnetic, seismic mapping and Comprehensive exploration technologies such as structural fissure analysis, horizontal drilling along coal seams, and shear wave seismic tectonics mainly use algorithms such as optimal segmentation method, gray theory, fuzzy evaluation, and artificial neural network for the algorithm model. However, there is currently a lack of a method for quantitative evaluation of coal mine geological structures that combines geological analysis and algorithm models.

Contents of the invention

The invention provides a quantitative evaluation method, device, equipment and storage medium for the geological structure of coal mines, with the purpose of guiding the development and layout of coal mines and safe and efficient production.

In the first aspect, the embodiment of the present invention provides a method for quantitative evaluation of coal mine geological structure, including:

Obtain the mining area information, process and obtain the structural development characteristics and stress field information of the mining area;

According to the structural development characteristics of the mining area and the stress field information, the geological analysis obtains the structure distribution law information of the mining area;

Add the algorithm model to analyze the structure distribution law information, and get the structure mode information about the mine;

Quantitatively evaluate and predict the structural model information, and obtain the structural law and prediction information of the mine.

Optionally, the geological analysis includes geological analysis for the mine and distribution law analysis for the structure of the mine.

Optionally, the geological theoretical analysis for the mine includes: geological theoretical analysis, fault-influenced zone analysis, and geometric analysis;

The distribution law of the mine structure includes: structure group number, occurrence characteristics, fracture density distribution, fault extension length and drop analysis.

Optionally, the geological theoretical analysis includes:

Statistically analyze the mining area information to obtain the structural law information of the mine corresponding to the mining area;

According to the structural law information, the distribution information of the mine structure is predicted.

Optionally, fault influence zone analysis includes:

Measure and obtain the information of the fault-influenced zone corresponding to the mining area, and predict the occurrence and drop analysis of the fault-affected zone.

Optionally, the algorithmic model includes statistical analysis, strain-active analysis, and stress field analysis.

Optionally, the statistical analysis includes: analyzing the regularity information mainly on a trend surface.

In the second aspect, the embodiment of the present invention proposes a quantitative evaluation device for the geological structure of a coal mine, which uses the method for quantitative evaluation of the geological structure of a coal mine proposed in the first aspect, including:

Structural development characteristics and stress field information module, used to obtain mining area information, process and obtain structural development characteristics and stress field information of the mining area;

The distribution rule information acquisition module is used to obtain the structure distribution rule information of the mining area according to the structural development characteristics of the mining area and the stress field information through geological analysis;

Structural model information acquisition module, used to add algorithm model analysis to structural distribution law information, to obtain structural model information about the mine;

The evaluation module is used to quantitatively evaluate and predict structural model information, and to obtain mine structural rules and prediction information.

In a third aspect, an embodiment of the present invention provides an electronic device, and the electronic device includes: one or more processors;

memory for storing one or more programs;

When one or more programs are executed by one or more processors, the one or more processors realize the quantitative evaluation method for coal mine geological structure provided by any embodiment of the present invention.

In a fourth aspect, an embodiment of the present invention provides a storage medium containing computer-executable instructions. When executed by a computer processor, the computer-executable instructions are used to execute the method for quantitative evaluation of coal mine geological structures as provided in any embodiment of the present invention.

Embodiments of the present invention provide a quantitative evaluation method, device, equipment, and storage medium for the geological structure of coal mines, wherein the quantitative evaluation method obtains the structural development characteristics and stress field information of the area by analyzing the existing mining area information, and comprehensively The evaluation obtains the distribution law information of the mining area structure, and then uses the algorithm model to analyze the distribution law information, so as to evaluate and predict the mine structure distribution law, and guide the coal mine development layout and safe and efficient production.

Description of drawings

Fig. 1 is the flowchart of a kind of coal mine geological structure quantitative evaluation method that the embodiment of the present invention provides;

Fig. 2 is a flow chart of monitoring physical field detection quantity in a kind of coal mine geological structure quantitative evaluation method provided by the embodiment of the present invention;

Fig. 3 is the regional geologic map of Hegang area involved in a kind of coal mine geological structure quantitative evaluation method provided by the embodiment of the present invention;

Fig. 4a is the rose diagram of the normal fault in the Hegang mining area in a kind of coal mine geological structure quantitative evaluation method provided by the embodiment of the present invention;

Fig. 4b is a reverse fault rose diagram in the Hegang mining area in a method for quantitative evaluation of coal mine geological structure provided by the embodiment of the present invention;

Fig. 5 is a schematic structural view of a coal mine geological structure quantitative evaluation device provided by an embodiment of the present invention;

Fig. 6 is a schematic structural view of a coal mine geological structure quantitative evaluation device provided by an embodiment of the present invention;

Fig. 7 is a contour map of fracture density in Hegang mining area in a quantitative evaluation method for coal mine geological structure provided by an embodiment of the present invention;

Fig. 8 is a histogram of fault dip frequency in the Hegang mining area in a method for quantitative evaluation of coal mine geological structure provided by an embodiment of the present invention;

Fig. 9 is a correlation diagram between the maximum fault drop H and the extension length L of a normal fault in the Hegang mining area in a quantitative evaluation method for coal mine geological structure provided by an embodiment of the present invention;

Fig. 10 is a correlation diagram between the maximum fault drop H and the extension length L of the reverse fault in the Hegang mining area in a quantitative evaluation method for coal mine geological structure provided by the embodiment of the present invention.

Detailed ways

The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, but not to limit the present invention. In addition, it should be noted that, for the convenience of description, only some structures related to the present invention are shown in the drawings but not all structures.

The existing prediction methods for the geological structure of mines to be mined mainly include geological analysis and prediction and algorithm model analysis. Geological analysis and prediction include coal seam drilling, shear wave seismic, ground seismic, aeromagnetic, ground geomagnetic, seismic mapping and structure Fracture analysis method, horizontal drilling along coal seam, shear wave seismic structure and other comprehensive exploration technologies, for the algorithm model, the optimal segmentation method, gray theory, fuzzy evaluation, artificial neural network and other algorithms are mainly used. However, there is currently a lack of a method for quantitative evaluation of coal mine geological structures that combines geological analysis and algorithm models.

Embodiment one

The present invention is aimed at above deficiency, proposes a kind of coal mine geological structure quantitative evaluation method, as shown in Figure 1, comprises:

S10: Obtain mining area information, and process to obtain the structural development characteristics and stress field information of the mining area; the above mining area information includes known and/or geological factor information obtained through testing, such as regional structural pattern, structural stress field properties, coal seams and coal measures Lithology combinations, etc. Structural development characteristics and stress field information are relevant to mining areas (mines), including underground structural laws.

The structural development characteristics of the above mining area and the stress field information can be obtained through drilling data. The geological analysis adopted includes the geological analysis for the mine and the distribution rule analysis for the mine structure.

S20: According to the structural development characteristics of the mining area and the stress field information, the geological analysis obtains the structure distribution law information of the mining area; the acquisition of the above structure distribution law information depends on the study of the mine structure law, including the geometric shape of the mine structure Research on the distribution law of fault structures and fault structures, through the comprehensive collection of exploration data and geological record data, strengthen the comparison and composite analysis of multi-source data, improve the control degree of the mine structure shape, and use the structural stress field analysis to reveal the origin and origin of the mine structure. development evolution.

S30: Adding an algorithm model to analyze the structure distribution rule information to obtain structural model information about the mine;

Establish the well field structural model, including structural form, structural combination and distribution law, formation and evolution process, and then predict the development law of geological structure and quantitative evaluation of zones to serve for further exploration engineering layout and resource development. At the same time, based on the systematic summary of the mining geological conditions of production mines, the exploration data and regional geological data are fully utilized to strengthen the secondary development of the data.

The algorithm models involved include but are not limited to mathematical statistical analysis and normalized calculation of structural elements and related indicators, involving mine geology, structural geology, mathematical geology, etc., including mathematical statistical analysis, trend surface analysis, fracture density, etc. Qualitative and quantitative description and comprehensive evaluation of mine structural form and structural development law.

S40: Quantitatively evaluate and predict the structural model information, and obtain the structural law and prediction information of the mine.

What needs to be added here is that steps S10 to S30 can be regarded as a qualitative study on the mine structure, that is, the control of the mine structure by the regional geological background, the research on the shape of the mine structure and its distribution law, and the analysis on the cause and evolution of the structure. On the basis of the work, the mine structure model is established, including the structural form, structural combination and distribution law, formation and evolution process, and the comprehensive evaluation and prediction of the structure and retrograde of the mine field or mining area by using the theory of mathematics and mechanics.

Quantitative evaluation includes structural block evaluation (structural index method, structural equivalence block method) and fuzzy comprehensive evaluation. On the basis of comprehensive utilization of technical methods such as mine geology, structural geology, mathematical geology, and big data in the aforementioned steps, through quantitative evaluation and prediction, the characteristics, distribution, combination, formation, evolution, and structural model of coal mine structures can be ascertained , Structural law, establish the main characteristics and distribution law of the structure in the mining area, and provide precise guidance for the layout of the working face and efficient mining.

The embodiment of the present invention provides a quantitative evaluation method for the geological structure of coal mines. By analyzing the existing mining area information, the structural development characteristics and stress field information of the area are obtained, and the distribution law information of the mining area structure is obtained through comprehensive evaluation, and then the algorithm is used to The model analyzes the distribution law information, so as to evaluate and predict the structure and distribution law of the mine, and guide the development and layout of coal mines and safe and efficient mining.

Embodiment two

The embodiment of the present invention is further refined on the basis of the first embodiment, wherein the geological analysis for the mine includes: geological theory analysis, fault-influenced zone analysis and geometric analysis;

Among them, geological theory analysis includes:

S21: Statistically analyze the information of the mining area, and obtain the structural law information of the mine corresponding to the mining area; the above-mentioned mining area information mainly refers to the geological factor information of the medium and small structures revealed in the mining area of the mine, the origin of the basic structural framework of the mine The relationship with the spatial distribution, explore the action mode and change of the regional stress field or local stress field, and obtain the structural law information of the mine.

S22: Predict the distribution information of the mine structure according to the structure law information; the prediction object is mainly for the unmined area, and qualitatively determine the relative density, distribution orientation and extension length of the medium and small structure development in the unmined area .

Then predict the roadway parameters corresponding to the mine according to the distribution information. It should be noted here that, for the prediction of the first parameter, reference is made to the related parameters of the adjacent adopted working roadways.

In addition, the analysis of the fault-influenced zone includes: measuring and obtaining the information of the ore-seam-influenced zone corresponding to the mining area, and predicting the occurrence and drop analysis of the ore-seam-influenced zone.

Usually, step S20 and step S30 will be executed sequentially during the execution process, and the algorithm model includes statistical analysis, strain-active analysis and stress field analysis. Statistical analysis (multivariate statistical analysis) is the main component of mathematical geology, specifically including trend surface analysis of the regular information.

For example, for the quantitative evaluation of the geological structure of the coal mining area in the Hegang area, the relevant evaluation of the fracture density distribution and related statistical methods is mainly used.

(1) Statistical analysis of fault strike orientation

Measure and obtain the information of the fault-influenced zone corresponding to the mining area, and predict the occurrence and drop analysis of the fault-affected zone. Through the observation of a large number of fault-influenced zones in the wellfield and the measurement of relevant parameters, the empirical formula of the correlation function relationship is determined, which is used to predict the position, occurrence and drop of medium and small faults.

What needs to be added here is that the above-mentioned geometric analysis refers to the prediction of the location and location of structures in unexcavated areas by using geometric mapping methods to predict the extension and spatial changes of structures that have been revealed or individual structures that have not been fully revealed in adjacent unexplored areas. elements.

For example, for the mining area corresponding to the Hegang Basin, because the coal-bearing strata of the Hegang Coalfield are directly unconformably deposited on the Pre-Paleozoic metamorphic rock series and Paleozoic granite and granite gneiss, the main strata are: Upper Cretaceous , Paleogene, Neogene, Quaternary. The strike of the strata is northeast or north-northeast, and the dip angle of the strata is generally about 15°-30°, inclined to the southeast. The coalfield is dominated by fault structures, with local gentle folds and multi-phase volcanic eruptions. The magmatic activities only develop in the The northern part of the mining area is mainly north of the Xinxing Mine, as shown in Figure 3.

Therefore, the analysis of fault-influenced zones in this area includes: statistical analysis of fault strike orientation, that is, by drawing the strike rose diagram of normal faults (Fig. 4a) and reverse faults (Fig. 4b) in the Hegang mining area, as shown in the figure, Hegang The normal faults in the mining area can be divided into near SN, near EW, NNE, NE, NEE, NW, NWW and NNW; the reverse faults in the Hegang mining area are mainly NE, NW, NNW, NNE, but the normal and reverse faults There are certain differences. The relative directions of normal faults are changeable, with five relatively dominant directions, namely NE, NNE, NW, NNW and nearly SN directions. The reverse faults mainly have three dominant directions of NE, NNE and NW. There are many faults, many stages, and they are intersected and intertwined with each other, resulting in the complexity of the fault structure pattern. At the same time, the variability of the main dominant directions of faults in the mining area shows that different mines in the area show different fault characteristics due to the control of different stress fields.

The grouping frequency of normal faults in the mining area is shown in Table 1 and the grouping frequency of reverse faults in Table 2. The faults in the area are mainly developed in the NW and NE directions, and the near EW and near SN direction faults are less developed.

Table 1

Table 2

There are large differences in the development direction of faults in various mines. The strikes of faults in Xinhua, Junde, and Xing’an mines in the south are variable, and there are multiple groups of NNW, NW, NNE, and NE; North-south direction (including NNE and NNW) is the main direction; although Yixin, Xinling and Xinxing in the north of the mining area are multilateral, they are all mainly near the north-south direction. Generally speaking, the change of the fault trend in the north-south direction is as follows: in the south, the arc-shaped faults that are mainly near EW direction gradually transform into SN-oriented faults, and reverse faults are developed in the whole area, and there is a gradual increase in the northward direction. Combining the three phases of structural evolution in the entire mining area, it can be concluded that the faults in the north-south and east-west directions are earlier, followed by the north-east direction, slightly later in the north-north-east direction, and the latest in the north-west direction.

(2) Analysis of the relationship between fault properties and fault dip

On the basis of obtaining the frequency of the fault dip in the Hegang mining area, the algorithm model is used for analysis. Figure 8 shows the histogram of the frequency of the fault dip in the Hegang mining area. 30°, the dip angle of the normal fault is about 60°, and the dip angle of the reverse fault is about 30°. The dip angle statistics of the faults in the Hegang mining area show that whether it is a reverse fault or a normal fault, the dip angle is distributed in a large range, but the peak normal fault is between 50° and 60°, and the reverse fault is between 20° and 50°. Under the condition of structural deformation dominated by longitudinal extension (extension system), normal faults are the most basic and widely distributed type, and normal faults have open-type characteristics, with dip angles mostly greater than 60°, while reverse faults are less distributed.

(3) Statistical analysis of fault strike orientation

Fault drop and horizontal extension length are two basic parameters that characterize the scale of faults, and are also important indicators for evaluating the geological conditions of fully mechanized mining structures. It is impossible for the fault to extend infinitely along the strike and dip, and the drop will gradually become smaller and finally tend to zero, that is, the fault pinches out. The theory of structural deformation and a large number of research practices show that there is a certain correlation between the fault drop and the horizontal extension length. The data of the faults that have been exposed in the Hegang mining area are now collected for the corresponding unary linear regression analysis. The results of the correlation analysis between the fault drop (H) and the extension length (L) are shown in Table 3. Among them, the maximum fault drop H and the extension length L of the normal fault The correlation is shown in Figure 9, and the correlation between the maximum drop H and the extension length L of the reverse fault is shown in Figure 10:

table 3

The fault drop increases with the increase of the horizontal extension length. Therefore, the regression equation is chosen to analyze its regularity. Correlation analysis shows that there is a good correlation between the maximum fault throw and extension length of most faults in the mining area. Accordingly, if a fault is encountered during underground mining, the above regression equation can be used to roughly predict the extension length of the fault. However, we should pay attention to the discrepancies between predictions, 3D seismic display results and actual revelations, so as to find out the reasons in time and correct the equations.

The distribution rule for the mine structure includes: the number of structural groups, occurrence characteristics, fracture density distribution, fault extension length and drop.

(4) Statistical analysis for fracture density

According to the exploration and mine production data of the Hegang Mine Area, 644 faults have been revealed, including 41 reverse faults. From the perspective of the overall fracture density of each mining area in Hegang, as shown in the statistical table of mine fault data, Table 4, the Xinling Mine, Yixin Mine, and Nanshan Mine have the highest fracture densities, and the Junde Mine, Zhenxing Mine, and Niaoshan Exploration Area Next, Xingshan Mine, R&F Mine, Xinhua Mine, Xinlu Mine, and Xing'an Mine are the smallest. That is to say, the fault density tends to increase gradually from south to north. From the point of view of the fault density of fault throws greater than 30m (some >20m), Xinling Mine, Zhenxing Mine, Yixin Mine, and Niaoshan Mine are the largest, followed by Xingshan Mine, Fuli Mine, Junde Mine, and Xinhua exploration area. Nanshan Mine, Xing'an Mine and Xinlu Mine are the smallest. Analyzing the reasons, the Xinling Mine is located at the western edge of the coal basin. After many periods of tectonic stress field, it is more prone to fracture and has a higher fracture density; as for the Yixin Mine, Zhenxing Mine, and Niaoshan Mine, they are located in the north of the mining area. The fracture density is relatively high; Nanshan Mine has obvious syncline structure, and fractures are more likely to occur on the two wings of the syncline.

Table 4

In the middle of the mining area, there is an obvious fracture density isoline zone, which is an inverted reverse S shape on the whole, that is, the overall trend of the Xinhua Mine-Junde Mine-Xing'an Mine-Fuli Mine is in the NW direction. , Xinlu Mine-Nanshan Mine is in NE direction, Nanshan Mine-Zhenxing Mine is in nearly north-south direction, and Yixin Mine-Xinxing Mine is in nearly NW direction. In the northern part of the mining area (the area north of Nanshan Mine) is a zone with complex fracture density, and this zone is also in a structural uplift zone, that is to say, the shallower the vertical depth, the more complex the faults will be. Since the mine structure is shallow, Therefore, it is dominated by brittle faults, and the result of the superposition of the three tectonic movements in this area has resulted in a significantly higher fault density in this area than in the south.

From the perspective of the entire mining area, there are seven high-value circles unfolding in a beaded shape from south to north, and the southern part of the mining area is divided into seven high-density equivalent zones (EW1-EW7), as shown in Figure 7. The value line and the low-density contour line are arranged alternately, EW1 is at the junction of Xinhua Mine and Junde Mine, EW2 is at the middle of Junde Mine, EW3 is at the junction of Junde Mine and Xing’an Mine, and EW4 is at Xing’an Mine At the junction of Mine and R&F Mine, EW5 is in the middle of R&F Mine, EW6 is at the south of Nanshan Mine, and EW7 is mainly at the junction of Nanshan Mine, Zhenxing Mine and Xinling Mine. On the other hand, the fracture density in the mining area north of EW7 is obviously higher, which is divided into east and west parts by the NW trend line (this trend line is consistent with the trend of the third stage F1-3 large fault), and the west part is higher than the east part. There is an obvious weakening trend in the Qunying Mountains, and the fault density in the Qunying Mountains is also relatively high.

Finally, perform quantitative evaluation and predict the structural model information, and obtain structural laws and prediction information. A specific structural law and forecast information is the elevation of the coal seam floor and the trend surface of coal thickness.

In order to facilitate the description of the specific implementation method, the drilling data of 30# coal in the exploration area of Hegang mining area were collected, and the coal thickness and floor elevation of 30 coal were taken as the research object, 477 groups of drilling data were sorted out, and the basic data table was compiled. , and then get the analysis of the elevation trend surface of the coal seam floor, specifically: the southern mining area is a monocline shape, and there are two obvious depressions in the Xinhua mining area, which are distributed in the NW direction, respectively distributed in the "neck" of the mine field and the mine field The structure of Junde Mine is an obvious monoclinic shape, but there are many small protrusions and depressions on the surface of the trend surface; there is a relatively obvious depression at the junction of Junde Mine and Xing'an Mine, namely An obvious syncline is formed in the Xing'an Mine, its axis is close to EW direction, and the two wings are convex and the middle is concave.

According to the trend surface analysis of the 30 coal floor in the northern mining area, the burial depth of the 30 coal in the northern mining area is obviously shallower than that in the southern part, and the burial depth tends to gradually increase from east to south. For Xinxing Mine, the south mining area of Xinling Mine has NW-directed depressions, and the north mining area has irregular protrusions and depressions; it can be seen from the trend surface of Xinxing Mine that there are obvious protrusions and depressions. The uplift is mainly in the north of the mine field, and the depression appears in the south of the mine field; the shape of the Nanshan mine is an obvious syncline, and the fault structure in this area is also very complicated; the Zhenxing mine and the Yixin mine are also in general It presents an anticline shape; Niaoshan District is the continuation of the deep coal seam of Yixin Mine, and its structural shape is a monocline shape, and the coal seam burial tends to become deeper from east to south.

In the same way, the coal thickness trend surface analysis specifically includes the coal thickness trend surface analysis of the 30th coal in the southern mining area. It can be concluded that the coal thickness of the Xing’an Mine is the thickest, and the Xinhua District’s coal thickness is the thinnest, that is, the coal thickness of the 30th coal gradually becomes thinner from north to south. the trend of. The coal thickness trend surface in Xinhua District is relatively smooth, and the coal thickness in Junde Mine has relatively large protrusions and depressions, which also shows that the fault structure in this area is more complicated. The coal thickness in Xing'an Mine is thicker in the middle of the mine field. The wings have a tendency to become thinner.

Generally speaking, the coal thickness of the 30 coal in the northern mining area is relatively uniform, but the coal thickness of the 30 coal in the syncline axis of the Nanshan mine is relatively large, and the coal thickness of the Yixin mine has a large bulge At the same time, it further proves that the fracture structure in this area is more complicated. The coal thickness of Xinxing Mine has a large protrusion, mainly distributed in the NW direction; the coal thickness of Xinling Mine is relatively uniform, and the coal thickness of Niaoshan Mine varies. It is also relatively uniform, which will be beneficial to future coal seam mining.

Embodiment Three

The present invention also proposes a quantitative evaluation device for coal mine geological structure, as shown in Figure 5, comprising:

Structural development characteristics and stress field information module 01, used to obtain mining area information, and geological analysis to obtain structural development characteristics and stress field information of the mining area;

The distribution rule information acquisition module 02 is used to obtain the structure distribution rule information of the mining area according to the structural development characteristics of the mining area and the stress field information;

Structural pattern information acquisition module 03, used to add algorithm model analysis to structural distribution law information, to obtain structural pattern information about the mine;

The evaluation module 04 is used to quantitatively evaluate and predict structural model information, and obtain structural laws and prediction information of the mine.

The coal mine geological structure quantitative evaluation device provided by the embodiment of the present invention adopts the same technical means as the coal mine geological structure quantitative evaluation method to achieve the same technical effect, and will not be repeated here.

Embodiment four

Fig. 6 is a schematic structural diagram of a coal mine geological structure quantitative evaluation device provided by an embodiment of the present invention. As shown in Fig. 6, the coal mine geological structure quantitative evaluation device includes a processor 610, a memory 620, an input device 630 and an output device 640; The number of processors 610 in the coal mine geological structure quantitative evaluation equipment can be one or more, and one processor 610 is taken as an example in Fig. 6; the processor 610, memory 620, input device 630 and output in the coal mine geological structure quantitative evaluation equipment The device 640 may be connected via a bus or in other ways, and connection via a bus is taken as an example in FIG. 6 .

The memory 620, as a computer-readable storage medium, can be used to store software programs, computer-executable programs and modules, such as program instructions/modules corresponding to the method for quantitative evaluation of coal mine geological structures in the embodiment of the present invention (for example, structural development characteristics and Stress field information module, distribution law information acquisition module, structural model information acquisition and evaluation module). The processor 610 executes various functional applications and data processing of the coal mine geological structure quantitative evaluation equipment by running the software programs, instructions and modules stored in the memory 620, that is, realizes the above-mentioned coal mine geological structure quantitative evaluation method.

The memory 620 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system and an application program required by at least one function; the data storage area may store data created according to the use of the terminal, and the like. In addition, the memory 620 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid-state storage devices. In some examples, the memory 620 may further include a memory that is remotely located relative to the processor 610, and these remote memories may be connected to the coal mine geological structure quantitative evaluation equipment through a network. Examples of the aforementioned networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.

The input device 630 can be used to receive input numbers or character information, and generate key signal input related to user setting and function control of the coal mine geological structure quantitative evaluation equipment. The output device 640 may include a display device such as a display screen.

Embodiment five

Embodiment 5 of the present invention also provides a storage medium containing computer-executable instructions. When executed by a computer processor, the computer-executable instructions are used to perform a quantitative evaluation method for coal mine geological structures, including:

Obtain the mining area information, process and obtain the structural development characteristics and stress field information of the mining area;

According to the structural development characteristics of the mining area and the stress field information, the structure distribution law information of the mining area is obtained;

Adding an algorithm model to analyze the structure distribution rule information to obtain structural model information about the mine;

Quantitatively evaluate and predict the structural model information, and obtain the structural law and prediction information of the mine.

Certainly, a storage medium containing computer-executable instructions provided in an embodiment of the present invention, the computer-executable instructions are not limited to the above-mentioned method operations, and may also perform the method for quantitative evaluation of coal mine geological structures provided in any embodiment of the present invention. related operations.

Through the above description about the implementation, those skilled in the art can clearly understand that the present invention can be realized by means of software and necessary general-purpose hardware, and of course it can also be realized by hardware, but in many cases the former is a better embodiment . Based on this understanding, the essence of the technical solution of the present invention or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as a floppy disk of a computer , read-only memory (Read-Only Memory, ROM), random access memory (Random Access Memory, RAM), flash memory (FLASH), hard disk or optical disc, etc., including several instructions to make a computer device (which can be a personal computer, A server, or a network device, etc.) executes the methods of various embodiments of the present invention.

It is worth noting that, in the above-mentioned embodiment of the coal mine geological structure quantitative evaluation equipment, the various units and modules included are only divided according to functional logic, but are not limited to the above-mentioned division, as long as the corresponding functions can be realized; In addition, the specific names of the functional units are only for the convenience of distinguishing each other, and are not used to limit the protection scope of the present invention.

Although, the present invention has been described in detail with general description, specific implementation and test above, but on the basis of the present invention, some modifications or improvements can be made to it, which will be obvious to those skilled in the art . Therefore, the modifications or improvements made on the basis of not departing from the spirit of the present invention all belong to the protection scope of the present invention.

Claims (10)

1. A quantitative evaluation method for coal mine geological structure, characterized in that it comprises: Obtain the mining area information, process and obtain the structural development characteristics and stress field information of the mining area; According to the structural development characteristics of the mining area and the stress field information, geological analysis obtains the structure distribution law information of the mining area; Adding an algorithm model to analyze the structure distribution rule information to obtain structural model information about the mine; Quantitatively evaluate and predict the structural model information, and obtain the structural law and prediction information of the mine. 2 . The method for quantitative evaluation of coal mine geological structure according to claim 1 , wherein the geological analysis includes geological analysis for mine wells and distribution law analysis for mine structure. 3 . 3. The method for quantitative evaluation of coal mine geological structure according to claim 2, characterized in that, said geological analysis for the mine comprises: geological theory analysis, fault-influenced zone analysis and geometric analysis; The distribution rule for the mine structure includes: structure group number, occurrence characteristics, fracture density distribution, fault extension length and drop analysis. 4. the coal mine geological structure quantitative evaluation method according to claim 3, is characterized in that, described geological theory analysis comprises: Statistical analysis is performed on the mining area information to obtain the structural law information of the mine corresponding to the mining area; According to the structural rule information, the distribution information of the mine structure is predicted. 5. method for quantitative evaluation of coal mine geological structure according to claim 3, is characterized in that, described fault influence zone analysis comprises: Measure and obtain the information of the fault-influenced zone corresponding to the mining area, and predict the occurrence and drop analysis of the fault-affected zone. 6. The quantitative evaluation method of coal mine geological structure according to claim 1, characterized in that, said algorithm model includes statistical analysis, strain-active analysis and stress field analysis. 7. The quantitative evaluation method of coal mine geological structure according to claim 6, characterized in that said statistical analysis comprises: analysis of said regularity information is mainly a trend surface. 8. A quantitative evaluation device for coal mine geological structure, characterized in that it comprises: Structural development characteristics and stress field information module, used to obtain mining area information, process and obtain structural development characteristics and stress field information of the mining area; The distribution law information acquisition module is used to obtain the structure distribution law information of the mining area according to the structural development characteristics of the mining area and the stress field information through geological analysis; Structural model information acquisition module, used to add algorithm model analysis to the structure distribution rule information to obtain the structural model information about the mine; The evaluation module is used for quantitatively evaluating and predicting the structural model information, and obtaining the structural rules and prediction information of the mine. 9. An electronic device, characterized in that the electronic device comprises: one or more processors; memory for storing one or more programs; When the one or more programs are executed by the one or more processors, the one or more processors are made to implement the method for quantitative evaluation of coal mine geological structures according to any one of claims 1-7. 10. A storage medium comprising computer-executable instructions, wherein the computer-executable instructions are used to perform the quantitative evaluation of coal mine geological structures as claimed in any one of claims 1-7 when executed by a computer processor method.