A disposal method and device of intelligent deep-hole blasting in coal mine combined with 110 working method

Abstract

The present application provides a kind of coal mine intelligent deep hole blasting combination 110 method of disposal device, comprising: multiple anchor cables, the anchor cable is fixedly arranged in coal deposit;Connecting sleeve, the connecting sleeve is rotatably connected with the anchor cable, at least two anchor cables are located on the two sides opposite of the connecting sleeve, the connecting sleeve has a slide;Sliding part, the sliding part is arranged in the slide;Drive part, the drive part is arranged in the connecting sleeve, and is used to drive the sliding part to slide on the slide;Charging structure, the charging structure is arranged at one end of the connecting sleeve, the charging structure includes storage bin and control valve, the control valve is controlled to make the sliding part communicate the storage bin or separate each other;And controller, the controller is used to control the control valve.The present application also proposes a kind of coal mine intelligent deep hole blasting combination 110 method of disposal method.

Description

Technical Field

[0001] This invention relates to the field of coal mining technology, and in particular to a method and apparatus for handling coal mines using intelligent deep-hole blasting combined with the 110 method. Background Technology

[0002] The Coal Mine 110 Method refers to a construction method used in coal mining, primarily to ensure the structural safety and stability of coal mine shafts. While the name of the Coal Mine 110 Method is similar to that of the general construction 110 Method, their specific applications differ. The main characteristic of the Coal Mine 110 Method is the use of a slotting drill to create blasting boreholes, the use of a shaped charge blasting device to pre-split the roof, creating cracks in the roof, and then using blasting to cut the roof off.

[0003] In traditional blasting processes, the location of blasting points and the amount of explosives are mainly determined by manual exploration and experience, which leads to problems such as inaccurate identification, low efficiency, and high risk. Summary of the Invention

[0004] This invention provides a treatment device and method for intelligent deep-hole blasting combined with the 110 method in coal mines, aiming to solve or partially solve the problems existing in the background art.

[0005] To solve the above-mentioned technical problems, the present invention is implemented as follows:

[0006] In a first aspect, the present invention proposes a treatment device for coal mine intelligent deep-hole blasting combined with the 110 method, comprising:

[0007] Multiple anchor cables are fixedly installed in the coal mine deposit;

[0008] A connecting sleeve is rotatably connected to the anchor cable, at least two anchor cables are located on opposite sides of the connecting sleeve, and the connecting sleeve has a slide rail;

[0009] The sliding part is disposed in the slide rail;

[0010] A driving unit is disposed on the connecting sleeve and is used to drive the sliding unit to slide on the slide rail;

[0011] A charge structure, wherein the charge structure is disposed at one end of the connecting sleeve, the charge structure including a storage chamber and a control valve, the control valve being controlled to allow the sliding portion to connect with or separate the storage chamber; and

[0012] A controller for controlling the control valve.

[0013] In conjunction with the first aspect, in some embodiments, the apparatus further includes:

[0014] A weight sensor is disposed on the sliding part and is communicatively connected to the controller.

[0015] Secondly, this invention proposes a method for handling coal mines using intelligent deep-hole blasting combined with the 110 method, the method comprising:

[0016] Acquire pre-blasted coal seam data, determine a pre-blasted coal seam distribution model based on the pre-blasted coal seam data; determine pre-filling points based on the pre-blasted coal seam distribution model; determine a scattering model based on the pre-filling points and the pre-blasted coal seam distribution model; and determine the charge amount corresponding to each pre-filling point based on the scattering model.

[0017] In conjunction with the second aspect, in some feasible implementations, acquiring pre-blasted coal seam data and determining a pre-blasted coal seam distribution model based on the pre-blasted coal seam data includes: acquiring measurement data, the measurement data including coal seam thickness, coal seam distribution data, and pre-blasting range; establishing a blasting location contour model based on the coal seam thickness and the pre-blasting range; and determining the pre-blasted coal seam distribution model based on the blasting location contour model and the coal seam distribution data.

[0018] In conjunction with the second aspect, in some feasible implementations, determining the pre-filling points based on the pre-blasting coal seam distribution model includes: determining the pre-fractured roof position and anchor cable position based on the pre-blasting coal seam distribution model; and determining the pre-filling points based on the pre-fractured roof position and the anchor cable position.

[0019] In conjunction with the second aspect, in some feasible implementations, determining a scattering model based on the pre-filled explosive point and the pre-blasted coal seam distribution model includes: generating multiple target sub-models based on the pre-blasted coal seam distribution model, wherein the multiple target sub-models are stacked to form the pre-blasted coal seam distribution model; obtaining multiple simulation models based on the pre-filled explosive point and the multiple target sub-models, wherein the simulation model is a model composed of the multiple target sub-models after the simulated detonation of the pre-filled explosive point; and determining one of the multiple simulation models as the scattering model based on the scattering of the multiple target sub-models.

[0020] In conjunction with the second aspect, in some feasible implementations, multiple target sub-models are generated based on the pre-blasted coal seam distribution model, wherein the multiple target sub-models are stacked to form the pre-blasted coal seam distribution model, including: dividing the pre-blasted coal seam distribution model to form multiple initial sub-models, wherein the multiple initial sub-models include coal seam sub-models and non-coal seam sub-models; marking the coal seam sub-models and non-coal seam sub-models based on the pre-blasted coal seam distribution model; and determining the coal seam sub-model as the target sub-model.

[0021] In conjunction with the second aspect, in some feasible implementations, multiple simulation models are obtained based on the pre-filled explosive point and multiple target sub-models. The simulation model is a model composed of multiple target sub-models after the simulated detonation of the pre-filled explosive point, and includes: obtaining bulk information; obtaining the adhesion strength between the multiple target sub-models based on the bulk information; and obtaining multiple simulation models based on the adhesion strength, the simulated blasting point, and the multiple target sub-models.

[0022] In conjunction with the second aspect, in some feasible implementations, determining the charge amount corresponding to each pre-filled charge point based on the scattering model includes: obtaining multiple simulated scattering models corresponding to different charge amounts; matching the multiple simulated scattering models with the scattering model; determining the simulated scattering model closest to the scattering model based on the matching results; and determining the charge amount as the charge amount corresponding to the simulated scattering model.

[0023] Thirdly, this invention also proposes a treatment device for coal mine intelligent deep-hole blasting combined with the 110 method, comprising:

[0024] The system includes a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other via the communication bus; the memory is used to store computer programs; and the processor, when executing the program stored in the memory, implements the method as described in any one of claims 1 to 7.

[0025] A fourth aspect of the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the method as described in the first aspect of the present invention.

[0026] The embodiments of this invention have the following advantages: This invention provides a disposal device for intelligent deep-hole blasting combined with the 110 method in coal mines. First, by acquiring pre-blasted coal seam data, a pre-blasted coal seam distribution model is determined based on the pre-blasted coal seam data; pre-filling points are determined based on the pre-blasted coal seam distribution model; then, a scattering model is determined based on the pre-filling points and the pre-blasted coal seam distribution model; finally, the charge amount corresponding to each pre-filling point is determined based on the scattering model. The method proposed in this invention, by acquiring coal seam data, can realize the acquisition of blasting locations and charge amounts during blasting using a computer, thus improving the safety during blasting. Attached Figure Description

[0027] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0028] Figure 1 This is a schematic diagram of the structure of a coal mine intelligent deep-hole blasting combined with the 110 method in an embodiment of the present invention.

[0029] Figure 2 This is a schematic diagram of the process of a coal mine intelligent deep-hole blasting combined with the 110 method in an embodiment of the present invention. Detailed Implementation

[0030] To make the above-mentioned objectives, features, and advantages of this application more apparent and understandable, the application will be further described in detail below with reference to the accompanying drawings and specific embodiments. Obviously, the described embodiments are only some, not all, of the embodiments of this application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without inventive effort are within the scope of protection of this application.

[0031] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that an article or device that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such an article or device. Without further limitation, an element defined by the phrase "comprising..." does not exclude the presence of other identical elements in the article or device that includes that element.

[0032] It should be understood that the term "and / or" in this article is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, or B existing alone. A and B can be singular or plural. Additionally, the character " / " in this article generally indicates an "or" relationship between the preceding and following related objects, but it can also represent an "and / or" relationship. Please refer to the context for a more accurate understanding.

[0033] In this invention, "at least one" means one or more, and "more than one" means two or more. "At least one of the following" or similar expressions refer to any combination of these items, including any combination of a single item or a plurality of items. For example, at least one of a, b, or c can represent: a, b, c, ab, ac, bc, or abc, where a, b, and c can be a single item or multiple items.

[0034] Furthermore, the terms "first," "second," etc., are used only for distinguishing descriptions and should not be construed as referring to specific or particular structures. The terms "some embodiments," "other embodiments," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of this application. In this application, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described can be combined in a suitable manner in any one or more embodiments or examples. Furthermore, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this application, as well as the features of different embodiments or examples.

[0035] Please see Figure 1 This invention proposes a treatment device 10 for coal mine intelligent deep-hole blasting combined with the 110 method, comprising:

[0036] Multiple anchor cables 1 are fixedly installed in the coal mine deposit;

[0037] A connecting sleeve 2 is rotatably connected to the anchor cable 1, and at least two anchor cables 1 are located on opposite sides of the connecting sleeve 2. The connecting sleeve 2 has a slide rail 21.

[0038] Sliding part 3 is disposed on the slide rail 21;

[0039] A driving part 4 is disposed on the connecting sleeve 2 and is used to drive the sliding part 3 to slide on the slide rail 2;

[0040] A loading structure 5 is disposed at one end of the connecting sleeve 2. The loading structure 5 includes a storage chamber 51 and a control valve 52, the control valve 52 being controlled to allow the sliding part 3 to connect to or separate from the storage chamber 51; and a controller (not shown), the controller being used to control the control valve 52. In some embodiments, the drive unit is a servo motor.

[0041] In some implementations, the apparatus further includes:

[0042] The protective device 7 is disposed on the connecting sleeve 2. The protective device 7 includes a wire mesh cover, which is spaced apart from the connecting sleeve 2.

[0043] In some embodiments, the apparatus further includes:

[0044] A weight sensor is disposed on the sliding part 3 and is communicatively connected to the controller.

[0045] This invention proposes a method for handling coal mines using intelligent deep-hole blasting combined with the 110 method. Please refer to [link / reference needed]. Figure 2 This includes the following steps:

[0046] S101: Obtain pre-blasted coal seam data, and determine the pre-blasted coal seam distribution model based on the pre-blasted coal seam data.

[0047] Specifically, in this step, this can be obtained using measurement techniques such as borehole surveying. Geological exploration methods, such as borehole drilling, ground-penetrating radar, or underground acoustic wave technology, are used to measure the coal seam. These techniques can determine the thickness, distribution, and variations of the coal seam. As one implementation method, image processing and analysis techniques can be used to process the obtained blasted coal seam data.

[0048] Specifically, step S101 may include the following steps:

[0049] S101-1: Acquire measurement data, including coal seam thickness, coal seam distribution data, and pre-blasting range.

[0050] Understandably, blasting operations are often required during coal mining. To ensure safety, it is necessary to determine the pre-blasting range, that is, the influence range of the blasting source.

[0051] S101-2: Establish a blasting location contour model based on the coal seam thickness and the pre-blasting range.

[0052] Understandably, the coal seam thickness data is converted into the geometry of a 3D model. Geological modeling software or computer-aided design software can be used to create the geometric model of the coal seam. This model is a contour model of the blasting location.

[0053] S101-3: Based on the blasting location contour model and the coal seam distribution data, determine the pre-blasting coal seam distribution model.

[0054] Understandably, establishing the blasting location contour model in this step requires consideration of multiple factors, including the geological characteristics of the coal seam, blasting design requirements, and safety standards. Therefore, the modeling process necessitates collaboration among professional geological engineers, blasting engineers, and computer simulation experts to ensure the model's accuracy and reliability. Consequently, the pre-blasting coal seam distribution model includes the outline size of the coal seam and the distribution of its internal components.

[0055] S102: Determine the pre-filling points based on the pre-blasting coal seam distribution model.

[0056] Understandably, based on the pre-blasting coal seam distribution model, the pre-filled explosive points can be determined. Pre-filled explosive points refer to the locations of explosive charges or columns placed in the coal seam before blasting, used to control the blasting effect and improve blasting efficiency.

[0057] Specifically, step S102 includes the following steps:

[0058] S102-1: Based on the pre-blasting coal seam distribution model, determine the pre-fractured roof position and anchor cable position.

[0059] Understandably, the location of the pre-fractured roof is determined based on the pre-blasting coal seam distribution model and mining process requirements. The pre-fractured roof location is a point a certain distance ahead of the mining face where the top of the coal seam is pre-fractured by blasting to reduce roof pressure and control roof collapse accidents. The anchor cable location is a point a certain distance ahead of the mining face where anchor cables are installed to fix the roof, enhancing its stability and support capacity.

[0060] S102-2: Determine the pre-filling point based on the pre-splitting top plate position and the anchor cable position.

[0061] Understandably, the number and arrangement of pre-filled explosive charges are determined based on blasting design requirements and the characteristics of the coal seam. The number and arrangement of pre-filled explosive charges should avoid areas prone to pre-fractured roof sections and anchor cable locations. Of course, this step can also involve collaboration between professional geological engineers, blasting engineers, and computer simulation experts to ensure the accuracy and reliability of the pre-filled explosive charges.

[0062] S103: Based on the pre-filled explosive points and the pre-blasted coal seam distribution model, determine the scattering model.

[0063] As is understandable, a scattering model is the model formed after blasting. Depending on the blasting design requirements and the characteristics of the coal seam, different scattering models can be selected, such as radial scattering, annular scattering, and linear scattering.

[0064] Specifically, step S103 includes the following steps:

[0065] S103-1: Generate multiple target sub-models based on the pre-blasted coal seam distribution model, wherein the multiple target sub-models are stacked to form the pre-blasted coal seam distribution model.

[0066] Understandably, based on the expected blasting target and the specific area to be analyzed, the pre-blasting coal seam distribution model is divided into multiple target sub-models. These multiple target sub-models are then stacked together to form the overall pre-blasting coal seam distribution model. This can be achieved by overlaying the results of each sub-model or by aligning and combining the boundaries of the sub-models.

[0067] Specifically, as one implementation method, step S103-1 includes the following steps:

[0068] S103-1-1: The pre-blasted coal seam distribution model is divided to form multiple initial sub-models, wherein the multiple initial sub-models include coal seam sub-models and non-coal seam sub-models.

[0069] Understandably, in this embodiment, by using the external contour of the first digital model, some target sub-models that have little impact on the blasting results can be excluded. These include vegetation and water flow outside the mountain. By combining image recognition, the initial sub-models corresponding to these elements can be classified as unstructured sub-models, while the remaining models are structured sub-models, which can include soil, rock, etc. By dividing the first digital model into structured and unstructured sub-models, the characteristics and behaviors of different areas can be better considered. Of course, structured sub-models can be calculated using structural analysis methods, such as finite element analysis; unstructured sub-models can be calculated using geomechanical methods, such as the discrete element method or boundary element method.

[0070] S103-1-2: Based on the pre-blasting coal seam distribution model, mark the coal seam sub-model and the non-coal seam sub-model;

[0071] S103-1-3: Determine the coal seam sub-model as the target sub-model.

[0072] Understandably, by dividing the first digital model into structured and unstructured sub-models, different types of regions can be better described and analyzed, improving the accuracy and computational efficiency of the model.

[0073] S103-2: Obtain multiple simulation models based on the pre-filled explosive point and multiple target sub-models, wherein the simulation model is a model composed of multiple target sub-models after the pre-filled explosive point is simulated detonated.

[0074] Understandably, this method yields multiple simulation models, each containing simulation results of a specific target sub-model after detonation at the blasting point. These simulation models can be used to evaluate the blast resistance of different target sub-models, predict the damage range and structural response after blasting, and formulate corresponding safety measures.

[0075] S103-2-1: Obtain the block information and obtain the adhesion strength between multiple target sub-models based on the block information.

[0076] Specifically, to obtain the overall information, we can first acquire weakness information, and then determine the overall information based on the weakness information. It is understood that weakness information can be rock junctions, coal seam dividing surfaces, etc. In this embodiment, we take rock strata dividing surfaces as an example. Multiple rock strata dividing surfaces can be directly acquired through the experience of professionals or geologists, such as by directly marking them on the first digital model. Of course, in other embodiments, they can also be acquired through other methods, which are not limited here. The overall information is then obtained based on multiple rock strata dividing surfaces.

[0077] S103-2-2: Based on the adhesion strength, the simulated blasting location, and the multiple target sub-models, obtain multiple simulation models.

[0078] Understandably, the information in whole blocks refers to the connectivity between multiple target sub-models. For example, in a mountain that needs to be blasted, there might be a single block of rock. The target sub-models corresponding to this single block of rock have high adhesion strength, resulting in greater resistance during the blasting separation process.

[0079] S103-3: Based on the distribution of the multiple target sub-models, determine one of the multiple simulation models as the scattered model.

[0080] Perform a scattering analysis on the simulation model to understand the relative positions and distances between the target sub-models. This can be achieved by calculating the center position, boundary position, or other relevant indicators of the target sub-models. Based on the results of the scattering analysis, determine the scattering model.

[0081] S104: Based on the scattering model, determine the amount of medicine corresponding to each of the pre-filled medicine points.

[0082] Understandably, based on the scattering model, a charge distribution model is established for each pre-filled charge point. The charge distribution model is then simulated, analyzed, and evaluated to ensure the rationality and feasibility of the charge amount. Through simulation analysis, the impact of the charge amount on the blasting effect, such as the fragmentation effect and fragmentation range, can be assessed.

[0083] Specifically, step S104 includes the following steps:

[0084] S104-1: Obtain the simulated scattering models corresponding to multiple different charge amounts.

[0085] Understandably, based on design requirements and objectives, multiple models with different charge amounts can be generated from the scattering model. By adjusting the model parameters or randomly generating charge amounts, multiple simulated scattering models corresponding to different charge amounts can be obtained.

[0086] S104-2: Match the multiple simulated scattering models with the scattering model, and determine the simulated scattering model that is closest to the scattering model based on the matching results.

[0087] Understandably, the data from the scattered model is compared and matched with each simulated scattered model. Statistical metrics (such as mean squared error, correlation coefficient, etc.) can be used to measure the goodness of fit between the model and the scattered model. Smaller statistical metric values ​​indicate that the model is closer to the scattered model.

[0088] S104-3: Determine that the charge amount is the charge amount corresponding to the simulated scattering model.

[0089] Understandably, based on the model matching results, the charge amount corresponding to the simulated scattering model is determined. The parameter values ​​of the scattering model and the simulated scattering model are compared, and the charge amount corresponding to the simulated scattering model that is closest to the scattering model is selected.

[0090] This invention provides a method for handling coal mine intelligent deep-hole blasting combined with the 110 method. First, by acquiring pre-blasting coal seam data, a pre-blasting coal seam distribution model is determined based on the data. Then, based on the pre-blasting coal seam distribution model, pre-filling points are determined. Next, based on the pre-filling points and the pre-blasting coal seam distribution model, a scattering model is determined. Finally, based on the scattering model, the charge amount corresponding to each pre-filling point is determined. The method proposed in this invention, by acquiring coal seam data, enables the use of a computer to obtain the blasting location and the charge amount during blasting, thus improving the safety of blasting operations.

[0091] Based on the same inventive concept, embodiments of this application also propose a coal mine intelligent deep-hole blasting combined with the 110 method for handling coal, the device comprising:

[0092] The first acquisition module is used to acquire pre-blasted coal seam data and determine the pre-blasted coal seam distribution model based on the pre-blasted coal seam data.

[0093] A first determining module is used to determine the pre-filling points based on the pre-blasting coal seam distribution model; a second determining module is used to determine the scattering model based on the pre-filling points and the pre-blasting coal seam distribution model.

[0094] The third determining module is used to determine the amount of medicine corresponding to each pre-filled medicine point based on the scattering model.

[0095] In some embodiments, the coal mine intelligent deep-hole blasting combined with the 110 method treatment device also includes:

[0096] The second acquisition module is used to acquire measurement data, including coal seam thickness, coal seam distribution data, and pre-blasting range.

[0097] The fourth determining module is used to establish a blasting location contour model based on the coal seam thickness and the pre-blasting range.

[0098] The fifth determining module is used to determine the pre-blasting coal seam distribution model based on the blasting location contour model and the coal seam distribution data.

[0099] In some embodiments, the coal mine intelligent deep-hole blasting combined with the 110 method treatment device also includes:

[0100] The sixth determining module is used to determine the pre-fractured roof position and anchor cable position based on the pre-blasted coal seam distribution model.

[0101] The seventh determining module is used to determine the pre-filling point based on the pre-splitting top plate position and the anchor cable position.

[0102] In some embodiments, the coal mine intelligent deep-hole blasting combined with the 110 method treatment device also includes:

[0103] The first generation module is used to generate multiple target sub-models based on the pre-blasted coal seam distribution model, wherein the multiple target sub-models are stacked to form the pre-blasted coal seam distribution model;

[0104] The third acquisition module is used to acquire multiple simulation models based on the pre-filled explosive point and multiple target sub-models, wherein the simulation model is a model composed of multiple target sub-models after the pre-filled explosive point is simulated detonated.

[0105] The eighth determining module is used to determine one of the multiple simulation models as the scattered model based on the scattering of the multiple target sub-models.

[0106] In some embodiments, the coal mine intelligent deep-hole blasting combined with the 110 method treatment device also includes:

[0107] The segmentation module is used to segment the pre-blasted coal seam distribution model to form multiple initial sub-models, wherein the multiple initial sub-models include coal seam sub-models and non-coal seam sub-models.

[0108] The marking module is used to mark the coal seam sub-model and the non-coal seam sub-model based on the pre-blasted coal seam distribution model.

[0109] The ninth determining module is used to determine that the coal seam sub-model is the target sub-model.

[0110] In some embodiments, the coal mine intelligent deep-hole blasting combined with the 110 method treatment device also includes:

[0111] The fourth acquisition module is used to acquire the whole block information and to acquire the adhesion strength between multiple target sub-models based on the whole block information.

[0112] The fifth acquisition module is used to acquire multiple simulation models based on the adhesion strength, the simulated blasting point, and the multiple target sub-models.

[0113] In some embodiments, the coal mine intelligent deep-hole blasting combined with the 110 method treatment device also includes:

[0114] The sixth acquisition module is used to acquire the simulated scattering models corresponding to multiple different charge amounts.

[0115] A matching module is used to match multiple simulated scattering models with the scattering model, and determine the simulated scattering model that is closest to the scattering model based on the matching results.

[0116] The calculation module is used to determine the amount of explosive charge as the amount of explosive charge corresponding to the simulated scattering model.

[0117] This invention provides a disposal device for intelligent deep-hole blasting combined with the 110 method in coal mines. First, by acquiring pre-blasted coal seam data, a pre-blasted coal seam distribution model is determined based on this data. Then, based on the pre-blasted coal seam distribution model, pre-filling points are determined. Next, based on the pre-filling points and the pre-blasted coal seam distribution model, a scattering model is determined. Finally, based on the scattering model, the charge amount corresponding to each pre-filling point is determined. The method proposed in this invention, by acquiring coal seam data, enables the use of a computer to obtain the blasting location and the charge amount during blasting, thus improving the safety of blasting operations.

[0118] Based on the same inventive concept, embodiments of this application also propose another coal mine intelligent deep-hole blasting combined with the 110 method, comprising:

[0119] At least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to perform the coal mine intelligent deep-hole blasting combined with the 110 method of the present application embodiments.

[0120] The communication bus mentioned above can be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. This communication bus can be divided into address bus, data bus, control bus, etc. For ease of representation, only one thick line is used in the diagram, but this does not indicate that there is only one bus or one type of bus. The communication interface is used for communication between the aforementioned terminal and other devices. The memory can include Random Access Memory (RAM) or non-volatile memory, such as at least one disk storage device. Optionally, the memory can also be at least one storage device located remotely from the aforementioned processor.

[0121] The processors mentioned above can be general-purpose processors, including central processing units (CPUs), network processors (NPs), etc.; they can also be digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components.

[0122] Furthermore, to achieve the above objectives, embodiments of this application also propose a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the coal mine intelligent deep-hole blasting combined with the 110 method of this application.

[0123] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, apparatus, or computer program products. Therefore, embodiments of the present invention can take the form of entirely hardware embodiments, entirely software embodiments, or embodiments combining software and hardware aspects. Furthermore, embodiments of the present invention can take the form of computer program products implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0124] Embodiments of the present invention are described with reference to flowchart illustrations and / or block diagrams of methods, terminal devices (apparatus), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing terminal device to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing terminal device, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0125] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing terminal device to operate in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0126] These computer program instructions can also be loaded onto a computer or other programmable data processing terminal equipment, causing a series of operational steps to be performed on the computer or other programmable terminal equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable terminal equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0127] Finally, it should be noted that in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. "And / or" indicates that either one or both can be chosen. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or terminal device that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or terminal device. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or terminal device that includes said element.

[0128] The above provides a detailed description of the intelligent deep-hole blasting combined with the 110 method for coal mine treatment provided by the present invention. Specific examples have been used to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only for the purpose of helping to understand the method and core ideas of the present invention. At the same time, for those skilled in the art, there will be changes in the specific implementation methods and application scope based on the ideas of the present invention. Therefore, the content of this specification should not be construed as a limitation of the present invention.

Claims

1. A method for handling coal mines using intelligent deep-hole blasting combined with the 110 method, characterized in that, include: Acquiring pre-blasted coal seam data and determining a pre-blasted coal seam distribution model based on the pre-blasted coal seam data includes: acquiring measurement data, which includes coal seam thickness, coal seam distribution data, and pre-blasting range; A blasting location contour model is established based on the coal seam thickness and the pre-blasting range; Based on the blasting location contour model and the coal seam distribution data, the pre-blasting coal seam distribution model is determined; The pre-filling points are determined based on the pre-blasting coal seam distribution model, including: Based on the pre-blasting coal seam distribution model, the locations of the pre-fractured roof and anchor cables are determined. The pre-filling point is determined based on the pre-splitting top plate location and the anchor cable location; Based on the pre-filled explosive points and the pre-blasted coal seam distribution model, a scattering model is determined, including: Multiple target sub-models are generated based on the pre-blasted coal seam distribution model, wherein the multiple target sub-models are stacked to form the pre-blasted coal seam distribution model; Multiple simulation models are obtained based on the pre-filled explosive points and multiple target sub-models. The simulation model is a model composed of multiple target sub-models after the pre-filled explosive points are simulated detonated. The pre-blasted coal seam distribution model is divided to form multiple initial sub-models, which include coal seam sub-models and non-coal seam sub-models. Based on the pre-blasting coal seam distribution model, the coal seam sub-model and the non-coal seam model are labeled; The coal seam sub-model is determined to be the target sub-model; Based on the distribution of the multiple target sub-models, one of the multiple simulation models is determined as the scattered model; Based on the scattering model, the amount of medicine corresponding to each pre-filled medicine point is determined.

2. The method for handling coal mine intelligent deep-hole blasting combined with the 110 method according to claim 1, characterized in that, Multiple simulation models are obtained based on the pre-filled explosive point and multiple target sub-models, wherein the simulation model is a model composed of multiple target sub-models after the simulated detonation of the pre-filled explosive point, including: Obtain the whole block information, and obtain the adhesion strength between multiple target sub-models based on the whole block information; Multiple simulation models are obtained based on the adhesion strength, the pre-filled drug points, and the multiple target sub-models.

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