Partitioning method of goaf and related equipment

Abstract

The invention provides a zoning method for a goaf and related equipment. Specifically, the partitioning method comprises the following steps: obtaining a functional area; wherein the functional area is determined based on preset gap distribution and rock mass basic quality indexes; obtaining first data of the goaf, and partitioning the goaf according to the first data to obtain first distribution of the functional areas; wherein the first data is obtained according to a first preset method; obtaining second data of the goaf and partitioning the goaf according to the second data of the goaf to obtain second distribution of the functional areas; wherein the second data is obtained according to a second preset method; and determining third distribution of the functional areas according to the first distribution and the second distribution of the functional areas. According to the technical scheme, accurate zoning of the goaf space is achieved, and a basis is provided for accurate utilization of the goaf.

Description

Technical Field

[0001] The present disclosure relates to the technical field of goaf reuse, and in particular to a goaf zoning method and related equipment. Background Art

[0002] With the innovation of coal mining technology in my country, the scale and intensity of mining have been continuously increased, especially in the western region with good geological conditions, simple geological conditions and large coal reserves. As the mining time continues to accumulate, a large number of goafs are left behind. As the development of the coal industry faces new challenges of "carbon peak and carbon neutrality", the reuse of spaces such as saline layers and abandoned tunnels (such as energy storage) has been proposed one after another. How to turn goafs into "treasures" and develop goaf reuse technology has a broad application market. Summary of the invention

[0003] In view of this, the purpose of the present disclosure is to provide a method for zoning a goaf area and related equipment.

[0004] Based on the above purpose, the present disclosure provides a method for partitioning a goaf area, which specifically includes:

[0005] Obtaining a functional area; wherein the functional area is determined based on a preset void distribution and basic rock mass quality indicators;

[0006] Acquire and partition the goaf area according to first data of the goaf area to obtain a first distribution of the functional areas; wherein the first data is obtained according to a first preset method;

[0007] Acquire and partition the goaf area according to the second data of the goaf area to obtain the second distribution of the functional areas; wherein the second data is obtained according to a second preset method;

[0008] A third distribution of the functional areas is determined according to the first distribution and the second distribution of the functional areas.

[0009] Based on the same inventive concept, an embodiment of the present disclosure also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, a partitioning method as described in any one of the above is implemented.

[0010] Based on the same inventive concept, an embodiment of the present disclosure further provides a non-transitory computer-readable storage medium, wherein the non-transitory computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a computer to execute any of the above-mentioned partitioning methods.

[0011] From the above, it can be seen that a method for zoning a goaf and related equipment provided by an embodiment of the present disclosure obtains functional areas; wherein the functional areas are determined based on preset void distribution and basic rock quality indicators; the first data of the goaf is obtained and the goaf is partitioned to obtain a first distribution area of ​​the functional area; wherein the first data is obtained according to a first preset method; the second data of the goaf is obtained and the goaf is partitioned to obtain a second distribution of the functional area; wherein the second data is obtained according to a second preset method; the third distribution of the functional area is determined according to the first distribution and the second distribution of the functional area; such a technical scheme realizes the precise zoning of the goaf space and provides a basis for the utilization of the goaf (such as loose area energy storage). BRIEF DESCRIPTION OF THE DRAWINGS

[0012] In order to more clearly illustrate the technical solutions in the present disclosure or related technologies, the drawings required for use in the embodiments or related technical descriptions are briefly introduced below. Obviously, the drawings described below are only embodiments of the present disclosure. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0013] Figure 1 A schematic diagram showing the results of an indoor simulation of a collapse zone morphology provided by an embodiment of the present disclosure;

[0014] Figure 2 A side view schematic diagram showing a directional drilling trajectory position provided by an embodiment of the present disclosure;

[0015] Figure 3 A schematic top view of a directional drilling trajectory provided by an embodiment of the present disclosure is shown;

[0016] Figure 4 A schematic flow chart showing a method for partitioning a goaf area provided by an embodiment of the present disclosure;

[0017] Figure 5 A schematic structural diagram of an electronic device provided by an embodiment of the present disclosure is shown. DETAILED DESCRIPTION

[0018] In order to make the objectives, technical solutions and advantages of the present disclosure more clearly understood, the present disclosure is further described in detail below in combination with specific embodiments and with reference to the accompanying drawings.

[0019] It should be noted that, unless otherwise defined, the technical terms or scientific terms used in the embodiments of the present disclosure should be understood by people with ordinary skills in the field to which the present disclosure belongs. The "first", "second" and similar words used in the embodiments of the present disclosure do not indicate any order, quantity or importance, but are only used to distinguish different components. "Including" or "comprising" and similar words mean that the elements or objects appearing before the word cover the elements or objects listed after the word and their equivalents, without excluding other elements or objects. "Connect" or "connected" and similar words are not limited to physical or mechanical connections, but can include electrical connections, whether direct or indirect. "Up", "down", "left", "right" and the like are only used to indicate relative positional relationships. When the absolute position of the described object changes, the relative positional relationship may also change accordingly.

[0020] In order to facilitate understanding of the technical solutions of the present disclosure, some technical terms involved in the present disclosure are introduced below.

[0021] Indoor simulation of collapse zone morphology: This is a method of studying the collapse zone morphology through indoor simulation experiments. This method constructs a simulation model to simulate the collapse process of the roof rock layer during coal mining to observe and analyze the morphological characteristics of the collapse zone.

[0022] Geophysical prospecting, also known as geophysical prospecting, is an exploration technology that uses geophysical principles and methods to conduct geological surveys and research. Due to the different types of rocks, geological structures and groundwater characteristics that make up the earth's crust, a unique physical field is formed. Through instrument testing, the measured data is analyzed to infer the underground geological structure and ore body distribution. There are mainly gravity exploration, magnetic exploration, electrical exploration, seismic exploration, radioactive exploration and physical logging of certain parameters. This method can be carried out not only on the ground, but also underground (drilling, tunnels), at sea and in the air.

[0023] Binarization is an image processing technique that converts an image into a form with only two colors (usually black and white). This process helps to simplify the image, highlight important features, and reduce computational complexity.

[0024] The basic quality index of rock mass (BQ) is calculated according to the quantitative index of grading factors, the uniaxial saturated compressive strength of rock Rc (MPa) and the integrity coefficient of rock mass Kv, as follows: BQ = 100 + 3Rc + 250Kv.

[0025] As mentioned in the background technology section, how to turn goaf into “treasure” and develop goaf reuse technology is an important direction of current research.

[0026] The inventors of the present disclosure noticed that the structure of the goaf is complex, which hinders the realization of the reuse of the goaf. In view of this, the embodiments of the present disclosure provide a method for zoning the goaf and related equipment. The zoning method includes: taking functional areas; wherein the functional areas are determined based on preset void distribution and basic rock mass quality indicators; obtaining and partitioning the goaf according to first data of the goaf to obtain a first distribution area of ​​the functional area; wherein the first data is obtained according to a first preset method; obtaining and partitioning the goaf according to second data of the goaf to obtain a second distribution of the functional area; wherein the second data is obtained according to a second preset method; determining the third distribution of the functional area according to the first distribution and the second distribution of the functional area; such a technical solution realizes the precise zoning of the goaf space and provides a basis for the utilization of the goaf (such as loose area energy storage).

[0027] In order to make the technical solution of the present disclosure clearer and easier to understand, a method for zoning a goaf provided by an embodiment of the present disclosure is introduced below with reference to the accompanying drawings.

[0028] After long-term practice, the inventors of the present disclosure found that the structure of the goaf is not single, but there are functional zones with different voids and basic rock mass quality indicators. Based on this, the inventors of the present disclosure comprehensively considered the void ratio (GP) distribution of the goaf and the basic rock mass quality index [BQ], and established a goaf zoning matrix, the results of which are shown in Table 1.

[0029] Table 1 Goaf zoning matrix

[0030]

[0031] As shown in Table 1, the goaf includes four functional zones, namely, the weakly developed fracture zone, the compacted zone, the strongly developed fracture zone and the loose zone.

[0032] Among them, Ⅰ represents the weakly developed fracture area, where the engineering risk is extremely small and the engineering can be carried out directly without taking other protective measures, such as the area with a void ratio of 0 to 0.05 and BQ ≤ 350.

[0033] Ⅱ represents the compaction area. The engineering risk in this area is small and the project can be carried out directly. However, corresponding means should be taken for support during the implementation of the project, such as the area with a void ratio of 0.05-0.15 and BQ≤350.

[0034] III indicates an area with strong development of cracks. The project risk is general and the project can be carried out only after grouting and other measures are taken to control the area, such as areas with void ratio ≤0.15 and BQ>450.

[0035] IV represents a loose area, where the project is risky and cannot be carried out, and can only be used as underground space, such as all areas with a void ratio greater than 0.2. It should be noted that the goaf can store natural gas, water, etc., and this disclosure does not limit this.

[0036] Usually, the porosity and BQ of a certain position in the goaf can be easily determined by drilling sampling, and based on the porosity and BQ, the region in which the position is located can be determined. In order to make full use of the space in the goaf, it is not enough to know which region a certain position is in, and it is essential to determine the boundaries of the functional areas. In other words, zoning the goaf is the basis for full and reasonable use of the goaf.

[0037] The following is a description of the partitioning method of the goaf provided by the embodiment of the present disclosure in conjunction with the accompanying drawings. Here, by adopting such a partitioning method, the distribution of four functional zones, namely, the weakly developed zone of cracks, the compacted zone, the strongly developed zone of cracks and the loose zone, can be determined.

[0038] Firstly, the morphology of the collapse zone of the target goaf is simulated indoors to determine the first distribution of the functional areas. Figure 1 The following is a schematic diagram showing the results of an indoor simulation of a collapse zone provided by an embodiment of the present disclosure. Figure 1 As shown, the top plate of the first loose zone 101 corresponds to the first crack strongly developed zone 103; the top plate of the first compacted zone 102 corresponds to the first crack weakly developed zone 104; the first compacted zone 102 is flanked by the first loose zone 101; the first crack weakly developed zone 104 is flanked by the first crack strongly developed zone 103.

[0039] By establishing a simulation model of similar materials for working face mining indoors, the morphology of the collapse zone in the target goaf can be effectively predicted, providing a basis for determining each functional area.

[0040] In some embodiments, performing indoor simulation of the collapse zone morphology of the target goaf includes:

[0041] Determine the model similarity ratio, simulation object and physical and mechanical parameters, and establish a simulation model of similar materials for working face mining. Here, the similarity ratio includes the geometric similarity ratio of similar material models, time similarity ratio, bulk density similarity ratio, stress and strength similarity ratio, etc.

[0042] For example, the geometric similarity ratio may be between 200 and 300; the temporal similarity ratio may be between 200 and 300; 1 / 2 ~300 1 / 2 The bulk density similarity ratio can be between 1.5 and 1.7; the stress and strength similarity ratio can be between 300 and 500.

[0043] Exemplarily, the simulation object is a rock layer between 10 meters below the bottom plate and 190 to 290 meters above the top plate of the target working surface. Here, the target goaf is formed by the target working surface.

[0044] Optionally, the physical and mechanical parameters of each lithology are determined according to the similarity ratio and the lithology of each stratum, wherein the physical and mechanical parameters include bulk modulus, shear modulus, tensile strength, cohesion, internal friction angle, and the like.

[0045] Based on the simulation model, simulation tests are carried out and test data are obtained.

[0046] Furthermore, based on the test data, the target goaf can be partitioned along the advancement direction to obtain the first loose area (the corresponding roof is the first crack strongly developed area) and the first compacted area (the corresponding roof is the first crack weakly developed area).

[0047] It should be noted that the number of the first loose area and the first compacted area is determined based on test data, and the present disclosure does not limit this. Figure 1 As shown, the number of the first loose areas 101 is two and they are located on both sides of the first compacted area 102 .

[0048] Next, considering that there may be deviations between the experimental data of the indoor simulation of the collapse zone morphology and the actual target goaf, the embodiment of the present disclosure also conducts geophysical exploration of the collapse zone morphology of the target goaf, and divides the target goaf into zones based on the geophysical data to obtain the second compaction zone, the second weakly developed fracture zone, the second strongly developed fracture zone, and the second loose zone.

[0049] In some embodiments, the effective exploration range of geophysical exploration exceeds 30 meters from the edge of the goaf, and the effective depth reaches 10 meters below the goaf.

[0050] In some embodiments, the geophysical exploration accuracy can be determined based on the areas corresponding to the first compacted area 102, the first weakly developed fracture area 104, the first strongly developed fracture area 103, and the first loose area 101. For example, the geophysical exploration accuracy of the first compacted area 102 and the first weakly developed fracture area 104 can be no less than the exploration range / 2000m 3 The geophysical exploration accuracy of the first loose area 101 and the first fracture strong development area 103 can be no less than the exploration range / 1000m 3 .

[0051] Optionally, after the geophysical data are collected, the geophysical data may be preprocessed, where the preprocessing includes but is not limited to zero point calibration, denoising, filtering, gain, and the like.

[0052] The following is an example of a method for zoning the target goaf area based on geophysical data to obtain the second compacted area, the second weakly developed fissure area, the second strongly developed fissure area, and the second loose area. It should be noted that the geophysical data can also be directly used to zoning the target goaf area with the help of the zoning algorithm of the geological image, and this disclosure does not limit this.

[0053] The difference between voids and rocks is reflected in the geophysical data as different signal intensities. Based on the different signal intensities of the two, the geophysical data can be binarized, for example, the void area is marked as black and the rock area is marked as white. It should be understood that the image data obtained after binarization can reflect the distribution of voids and rocks in the overburden of the goaf.

[0054] The image data is partitioned to obtain a plurality of sub-partitions. For example, the volume of each sub-partition is less than 1m 3 . Calculate the proportion of black pixels in each sub-partition to all pixels, which is the void ratio.

[0055] Considering that there is no transition zone from the compacted zone to the loose zone, there will be a sudden increase in the void ratio between the two, so the loose zone, compacted zone, etc. can be determined based on the void ratio.

[0056] In some embodiments, based on the porosity of each sub-area and the number of the first loose area, the first compacted area, the first weakly developed area of ​​the fissures, and the first strongly developed area of ​​the fissures, the second loose area, the second compacted area, the second weakly developed area of ​​the fissures, and the second strongly developed area of ​​the fissures (corresponding to the second distribution) are determined. Here, the number of the first loose area, the first compacted area, the first weakly developed area of ​​the fissures, and the first strongly developed area of ​​the fissures determines the number of the second loose area, the second compacted area, the second weakly developed area of ​​the fissures, and the second strongly developed area of ​​the fissures, thereby determining the final number of the merged sub-areas. For example, if the number of the first loose areas is two, the sub-areas with high porosity can be merged into two second loose areas.

[0057] Optionally, by means of a partitioning algorithm of the geological image, the second loose area, the second compacted area, the second weakly developed fissure area, and the second strongly developed fissure area can be obtained. Here, the partitioning algorithm of the geological image can be a K-means spatial clustering algorithm; a watershed algorithm; a DBSCAN algorithm, etc. This disclosure does not limit this.

[0058] Using void ratio for partitioning can help reduce the amount of calculation and increase the speed of image processing.

[0059] Then, refer to Figure 2 , the intersection of the first compaction area and the second compaction area is taken to obtain the third compaction area 202. The intersection of the first weakly developed fissure area and the second weakly developed fissure area is taken to obtain the third weakly developed fissure area 204.

[0060] The first loose area and the second loose area are taken as a union to obtain a third loose area 201; the first strongly developed fracture area and the second strongly developed fracture area are taken as a union to obtain a third strongly developed fracture area 203.

[0061] The third compaction zone, the third weakly developed fracture zone, the third loose zone and the third strongly developed fracture zone are determined based on the results of two different zoning methods. This can give full play to the advantages of the two different zoning methods, avoid the deviation of a single zoning method, and make the final zoning results closer to the actual geological structure distribution of the goaf.

[0062] In some alternative embodiments, based on the first loose zone, the first compacted zone, the first weakly developed fracture zone and the first strongly developed fracture zone as well as the second loose zone, the second compacted zone, the second weakly developed fracture zone and the second strongly developed fracture zone, a distribution comprehensive model is used to determine the third compacted zone, the third weakly developed fracture zone, the third loose zone and the third strongly developed fracture zone; wherein the distribution comprehensive model is a trained graph neural network model.

[0063] The training samples of the graph neural network model can adopt the partition diagrams obtained by the two partitioning methods and the corresponding standard partition diagrams; here, the standard partition diagram can be determined by verifying the boundaries of the partitions through the void ratio and BQ. The present disclosure does not limit the detailed training process of the distribution synthesis model.

[0064] In some optional embodiments, in order to improve the accuracy of the graph neural network model, the partitioning method may further include: obtaining the void ratio and basic rock mass quality index of the boundary area of ​​the third compaction zone, the third weakly developed fracture zone, the third loose zone, and the third strongly developed fracture zone;

[0065] In response to determining that the porosity and the basic rock mass quality indicators do not meet the thresholds of the functional zone, for example, the porosity and the basic rock mass quality indicators at the boundary of the third fracture weakly developed zone do not meet the matrix of Table 1, the boundary of the third fracture weakly developed zone is adjusted, and the adjusted distribution map is used for training the distribution comprehensive model.

[0066] With this technical solution, the partitioning results can be used to improve the distribution synthesis model, so that the accuracy of the model is continuously improved.

[0067] Next, the embodiment of the present disclosure provides an application scenario that cleverly utilizes the different characteristics of the above-mentioned functional zones. For example, based on the third loose zone, the third compacted zone, and the third weakly developed fracture zone, a directional drilling trajectory is determined so that natural gas, water resources, etc. on the ground can be stored in the third loose zone through drilling. It should be noted that the directional drilling trajectory avoids the third strongly developed fracture zone, which helps to reduce the risk of drill stuck and drill dropped due to the development of fractures in the overburden rock in the goaf.

[0068] Furthermore, the directional drilling trajectory connects the third loose area through the third compacted area 202 and the third weakly developed fissure area 204, and the third loose area 201 is used for energy storage or energy conversion. The directional drilling trajectory can be used to guide the directional drilling work and facilitate drilling construction. In this way, the directional drilling can penetrate the goaf, which is convenient for energy storage or energy conversion in the main void space of the goaf, and realizes the precise utilization of the goaf space.

[0069] Figure 2 A side view schematic diagram of the position of a directional drilling trajectory 205 provided by an embodiment of the present disclosure is shown. The directional drilling trajectory 205 includes a vertical trajectory 2051 and a branch trajectory 2052.

[0070] In some embodiments, the top of the third loose area 201 is designed as a drilling target, the third weakly developed fracture area 204 of the roof is designed as a drilling trajectory area, and the main hole opening position is the top ground of the third weakly developed fracture area 204 of the roof.

[0071] The specific drilling method is exemplified as follows: the first hole is 311mm in diameter and drilled vertically to 10 to 20 meters below the bedrock, and then a casing with a diameter of 273×10mm is inserted; the second hole is 133mm in diameter and the construction branch hole is drilled to the specified position. The position needs to meet the requirements of a suitable inclination angle so that the borehole can expose the third loose area 201. The inclination rate of the branch hole is 20 to 30° / m.

[0072] Because the intersection lines of each partition in the partition result are not necessarily horizontal or vertical, when drilling to expose the third loose zone 201, the angle between the branch trajectory 2052 and the boundary line of the third loose zone 201 is close to 90° and a deviation of 5° is allowed. After exposing the third loose zone 201, a 90×10 mm diameter casing is lowered.

[0073] Here, the angle between the branch trajectory 2052 and the boundary line of the third loose area 201 is close to 90°, which can effectively reduce the impact of drilling on the structure of the third loose area 201 and help maintain the stability of the structure of the third loose area 201.

[0074] In some embodiments, multiple target goafs are separated by protective coal pillars 206, so that each target goaf can be a separate energy storage space, and different energy storage spaces can store different energy sources, thereby greatly improving the overall energy storage and utilization efficiency of the goaf.

[0075] It should be noted that for coal mines with similar geological structures, different target goafs have similar distribution patterns of overburden collapse. Therefore, the third compaction zone, the third weak fissure development zone, the third loose zone and the third strong fissure development zone can be determined for only one target goaf, and the remaining adjacent target goafs can reuse the partition results. Figure 2Three target goaf areas are shown in the figure; the target goaf areas in the middle and on the right can directly reuse the partitioning results of the target goaf area on the left.

[0076] In order to ensure energy storage efficiency, the number of branch tracks 2052 can be multiple. Figure 3 A schematic top view of a directional drilling trajectory provided by an embodiment of the present disclosure is shown. Figure 3 It can be seen that the third compaction zone is located in the middle, and the third loose zone is located on the periphery of the third compaction zone. The vertical track Z1 connects four branch tracks Z1-1, Z1-2, Z1-3, and Z1-4. The vertical track Z1 is located in the third compaction zone (corresponding to the third weak crack development zone); the branch tracks Z1-1, Z1-2, Z1-3, and Z1-4 are all located in the third loose zone. By setting up multiple branch tracks, it is helpful to improve the reuse efficiency and achieve efficient energy storage or energy conversion.

[0077] Optionally, the distance between the target points of the branch trajectory is ≤200m, for example, 200m, 180m, 150m, 130m, etc.

[0078] It should be understood that after drilling is completed, liquids, gases, etc. can enter and exit the third loose area through the pipeline obtained by drilling to achieve energy storage or energy conversion. For example, natural gas can be placed in the third loose area to achieve natural gas storage; for another example, the geothermal heat in the third loose area can be used to heat the water circulating into the third loose area to achieve geothermal energy conversion and facilitate the use of geothermal energy.

[0079] Based on the same inventive concept, corresponding to the method of any of the above embodiments, the present disclosure also provides a method for zoning a goaf area.

[0080] See also Figure 4 The flowchart of the partitioning method of the goaf shown in FIG. 1 includes:

[0081] S402: Obtaining functional zones; wherein the functional zones are determined based on preset void distribution and basic rock mass quality indicators; here, referring to Table 1, the functional zones may be one or more of a weakly developed fracture zone, a compacted zone, a strongly developed fracture zone, and a loose zone, which will not be described in detail; it should be noted that if the obtained functional zones are weakly developed fracture zones and compacted zones, the following steps only need to determine the distribution of the weakly developed fracture zones and the compacted zones; if the obtained functional zones are weakly developed fracture zones, compacted zones, strongly developed fracture zones, and a loose zone, the following steps need to determine the distribution of the weakly developed fracture zones, compacted zones, strongly developed fracture zones, and a loose zone;

[0082] S404: Reference Figure 1, obtaining and partitioning the goaf area according to the first data of the goaf area, and obtaining the first distribution of the functional area; wherein the first data is obtained according to the first preset method; here, the first preset method may be an indoor simulation method of the collapse zone morphology; the first data may be the aforementioned test data; the first distribution of the functional area may be the distribution of the first loose area 101, the first compacted area 102, the first crack strong development area 103, and the first crack weak development area 104;

[0083] S406: Acquire and partition the goaf according to the second data of the goaf to obtain the second distribution of the functional areas; wherein the second data is obtained according to a second preset method; here, the second preset method may be a geophysical exploration method; and the second data may be geophysical exploration data;

[0084] S408: Determine a third distribution of the functional area according to the first distribution and the second distribution of the functional area; here, the third distribution may be the distribution of a third loose area 201 , a third compacted area 202 , a third strongly developed fracture area 203 , and a third weakly developed fracture area 204 .

[0085] In some embodiments, the second preset method is a geophysical exploration method;

[0086] Step S406: the step of obtaining and partitioning the goaf area according to the second data of the goaf area to obtain the second distribution of the functional areas specifically includes:

[0087] Based on the signal difference between the gap and the rock, the second data is binarized to obtain a first image; for example, the gap area is marked as black, and the rock area is marked as white;

[0088] The first image is partitioned using a preset geological image partitioning algorithm to obtain a second distribution of the functional areas.

[0089] Optionally, the preset geological image partitioning algorithm is selected from a K-means spatial clustering algorithm, a watershed algorithm or a DBSCAN algorithm.

[0090] In some embodiments, partitioning the first image using a preset geological image partitioning algorithm to obtain the second distribution of the functional areas specifically includes:

[0091] dividing the first image into a plurality of sub-images;

[0092] Calculate the void ratio of each sub-image respectively; here, the calculation method of the void ratio is as mentioned above and will not be repeated here;

[0093] A second distribution of the functional areas is obtained according to the void ratio of each of the sub-images and the number of the functional areas.

[0094] In some embodiments, the geophysical survey includes a plurality of accuracies; the plurality of accuracies are matched to the first distribution of functional areas.

[0095] In some embodiments, the functional zones include a weakly developed fracture zone, a compacted zone, a strongly developed fracture zone, and a loose zone;

[0096] Step S408: determining a third distribution of the functional areas according to the first distribution and the second distribution of the functional areas, comprising:

[0097] The first distribution and the second distribution of the compacted area and the area with weak fracture development are intersected to obtain a third distribution of the compacted area and the area with weak fracture development.

[0098] In some embodiments, the first distribution and the second distribution of the loose area and the area with weak fracture development are taken as a union to obtain a third distribution of the loose area and the area with weak fracture development.

[0099] In some embodiments, the functional area includes a weakly developed fracture area, a compacted area, a strongly developed fracture area, and a loose area; Step S408: determining a third distribution of the functional area according to the first distribution and the second distribution of the functional area specifically includes:

[0100] According to the first distribution and the second distribution of the functional areas, a third distribution of the functional areas is determined using a distribution synthesis model; wherein the distribution synthesis model is a trained graph neural network model.

[0101] In some embodiments, it also includes:

[0102] Obtaining the porosity and basic rock mass quality index of the boundary area of ​​the third distribution of the functional area;

[0103] In response to determining that the porosity and the basic rock mass quality index do not meet the threshold of the functional zone, the third distribution is adjusted and the adjusted third distribution is used for training the distribution comprehensive model.

[0104] In some embodiments, Figure 2 As shown, the directional drilling trajectory 205 includes a vertical trajectory 2051 and a branch trajectory 2052; wherein, the angle between the branch trajectory 2052 and the boundary line of the third loose area 201 is 85° to 95°, for example, 85°, 88°, 90°, 92°, 95°, etc.

[0105] In some embodiments, reference Figure 2 , multiple target goafs are separated by protective coal pillars 206; each target goaf is used to store the same or different energy sources.

[0106] The above embodiments are used to implement the corresponding partitioning method in any of the above embodiments, and have the beneficial effects of the corresponding method embodiments, which will not be described in detail here.

[0107] It should be noted that the method of the embodiment of the present disclosure can be performed by a single device, such as a computer or a server. The method of the present embodiment can also be applied in a distributed scenario and completed by multiple devices cooperating with each other. In the case of such a distributed scenario, one of the multiple devices can only perform one or more steps in the method of the embodiment of the present disclosure, and the multiple devices will interact with each other to complete the described method.

[0108] It should be noted that the above describes some embodiments of the present disclosure. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the above embodiments and still achieve the desired results. In addition, the processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0109] Based on the same inventive concept, corresponding to any of the above-mentioned embodiments and methods, the present disclosure also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the partitioning method described in any of the above embodiments is implemented.

[0110] Figure 5 A more specific schematic diagram of the hardware structure of an electronic device provided in this embodiment is shown, and the device may include: a processor 1010, a memory 1020, an input / output interface 1030, a communication interface 1040, and a bus 1050. The processor 1010, the memory 1020, the input / output interface 1030, and the communication interface 1040 are connected to each other through the bus 1050 in the device.

[0111] The processor 1010 can be implemented by a general-purpose CPU (Central Processing Unit), a microprocessor, an application-specific integrated circuit (ASIC), or one or more integrated circuits, and is used to execute relevant programs to implement the technical solutions provided in the embodiments of this specification.

[0112] The memory 1020 may be implemented in the form of ROM (Read Only Memory), RAM (Random Access Memory), static storage device, dynamic storage device, etc. The memory 1020 may store an operating system and other application programs. When the technical solutions provided in the embodiments of this specification are implemented by software or firmware, the relevant program codes are stored in the memory 1020 and are called and executed by the processor 1010.

[0113] The input / output interface 1030 is used to connect the input / output module to realize information input and output. The input / output module can be configured in the device as a component (not shown in the figure), or it can be externally connected to the device to provide corresponding functions. The input device may include a keyboard, a mouse, a touch screen, a microphone, various sensors, etc., and the output device may include a display, a speaker, a vibrator, an indicator light, etc.

[0114] The communication interface 1040 is used to connect a communication module (not shown) to realize communication interaction between the device and other devices. The communication module can realize communication through a wired mode (such as USB, network cable, etc.) or a wireless mode (such as mobile network, WIFI, Bluetooth, etc.).

[0115] The bus 1050 includes a path that transmits information between the various components of the device (eg, the processor 1010, the memory 1020, the input / output interface 1030, and the communication interface 1040).

[0116] It should be noted that, although the above device only shows the processor 1010, the memory 1020, the input / output interface 1030, the communication interface 1040 and the bus 1050, in the specific implementation process, the device may also include other components necessary for normal operation. In addition, it can be understood by those skilled in the art that the above device may also only include the components necessary for implementing the embodiments of the present specification, and does not necessarily include all the components shown in the figure.

[0117] The electronic device in the above embodiment is used to implement the corresponding partitioning method in any of the above embodiments, and has the beneficial effects of the corresponding method embodiment, which will not be described in detail here.

[0118] Based on the same inventive concept, corresponding to any of the above-mentioned embodiment methods, the present disclosure also provides a non-transitory computer-readable storage medium, wherein the non-transitory computer-readable storage medium stores computer instructions, and the computer instructions are used to enable the computer to execute the partitioning method described in any of the above embodiments.

[0119] The computer-readable medium of this embodiment includes permanent and non-permanent, removable and non-removable media, and information storage can be implemented by any method or technology. Information can be computer-readable instructions, data structures, modules of programs, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, read-only compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device.

[0120] The computer instructions stored in the storage medium of the above embodiments are used to enable the computer to execute the partitioning method described in any of the above embodiments, and have the beneficial effects of the corresponding method embodiments, which will not be repeated here.

[0121] Those skilled in the art should understand that the discussion of any of the above embodiments is merely illustrative and is not intended to imply that the scope of the present disclosure (including the claims) is limited to these examples. Based on the concept of the present disclosure, the technical features in the above embodiments or different embodiments may be combined, the steps may be implemented in any order, and there are many other variations of the different aspects of the embodiments of the present disclosure as described above, which are not provided in detail for the sake of simplicity.

[0122] In addition, to simplify the description and discussion, and in order not to make the embodiments of the present disclosure difficult to understand, the known power / ground connections to the integrated circuit (IC) chips and other components may or may not be shown in the provided figures. In addition, the device can be shown in the form of a block diagram to avoid making the embodiments of the present disclosure difficult to understand, and this also takes into account the fact that the details of the implementation of these block diagram devices are highly dependent on the platform on which the embodiments of the present disclosure will be implemented (that is, these details should be fully within the scope of understanding of those skilled in the art). Where specific details (e.g., circuits) are set forth to describe exemplary embodiments of the present disclosure, it is apparent to those skilled in the art that the embodiments of the present disclosure can be implemented without these specific details or with changes in these specific details. Therefore, these descriptions should be considered illustrative rather than restrictive.

[0123] Although the present disclosure has been described in conjunction with specific embodiments of the present disclosure, many replacements, modifications and variations of these embodiments will be apparent to those skilled in the art from the foregoing description. For example, other memory architectures (e.g., dynamic RAM (DRAM)) may use the embodiments discussed.

[0124] The embodiments of the present disclosure are intended to cover all such substitutions, modifications and variations that fall within the broad scope of the appended claims. Therefore, any omissions, modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the embodiments of the present disclosure should be included in the scope of protection of the present disclosure.

Claims

1. A method for partitioning a goaf, characterized in that: include: Obtaining a functional area; wherein the functional area is determined based on a preset void distribution and basic rock mass quality indicators; Acquire and partition the goaf area according to first data of the goaf area to obtain a first distribution of the functional areas; wherein the first data is obtained according to a first preset method; Acquire and partition the goaf area according to the second data of the goaf area to obtain the second distribution of the functional areas; wherein the second data is obtained according to a second preset method; A third distribution of the functional areas is determined according to the first distribution and the second distribution of the functional areas.

2. The partitioning method according to claim 1, characterized in that: The first preset method is the indoor simulation method of the collapse zone morphology.

3. The partitioning method according to claim 1, characterized in that: The second preset method is a geophysical exploration method; The acquiring and partitioning the goaf according to the second data of the goaf to obtain the second distribution of the functional areas specifically includes: Based on the signal difference between the void and the rock, binarization processing is performed on the second data to obtain a first image; The first image is partitioned using a preset geological image partitioning algorithm to obtain a second distribution of the functional areas.

4. The partitioning method according to claim 3, characterized in that: Partitioning the first image using a preset geological image partitioning algorithm to obtain the second distribution of the functional areas specifically includes: dividing the first image into a plurality of sub-images; Calculate the void ratio of each sub-image respectively; A second distribution of the functional areas is obtained according to the void ratio of each of the sub-images and the number of the functional areas.

5. The partitioning method according to claim 3, characterized in that: The geophysical survey includes a plurality of accuracies; the plurality of accuracies are matched to a first distribution of the functional areas.

6. The partitioning method according to claim 1, characterized in that: The functional zones include weakly developed fissure zones, compacted zones, strongly developed fissure zones and loose zones; The determining, according to the first distribution and the second distribution of the functional areas, a third distribution of the functional areas comprises: Taking the intersection of the first distribution and the second distribution of the compacted area and the area with weak fracture development to obtain a third distribution of the compacted area and the area with weak fracture development; and / or The first distribution and the second distribution of the loose area and the area with weak fracture development are taken as a union to obtain the third distribution of the loose area and the area with weak fracture development.

7. The partitioning method according to claim 1, characterized in that: The functional zones include weakly developed fissure zones, compacted zones, strongly developed fissure zones and loose zones; Determining the third distribution of the functional areas according to the first distribution and the second distribution of the functional areas specifically includes: According to the first distribution and the second distribution of the functional areas, a third distribution of the functional areas is determined using a distribution synthesis model; wherein the distribution synthesis model is a trained graph neural network model.

8. The partitioning method according to claim 7, characterized in that: Also includes: Obtaining the porosity and basic rock mass quality index of the boundary area of ​​the third distribution of the functional area; In response to determining that the porosity and the basic rock mass quality index do not meet the threshold of the functional zone, the third distribution is adjusted and the adjusted third distribution is used for training the distribution comprehensive model.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable by the processor, characterized in that: When executing the computer program, the processor implements the partitioning method according to any one of claims 1 to 8.

10. A non-transitory computer-readable storage medium, characterized in that: The non-transitory computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a computer to execute the partitioning method according to any one of claims 1 to 8.

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