Method and device for obtaining the mining damage depth of coal seam floor at close range
By obtaining coal seam characteristic data and rock formation composition and calculating weighted compressive strength, the problem of large errors in the existing technology is solved, and a more accurate calculation of the depth of mining failure of the coal seam base is achieved, which is suitable for scientific management of coal mine engineering.
Patent Information
- Application Number
- CN202411747049.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-02
- Publication Date
- 2025-02-21
- Estimated Expiration
- 2044-12-02
AI Technical Summary
When calculating the mining failure depth of the coal seam base plate at a short distance, the intensity of the bottom layer lithology is directly used for calculation, resulting in large errors and failure to fully consider the characteristics of the coal seam base plate consisting of multiple layers of lithology and different layers.
By obtaining the characteristic data set of coal seams and the rock formation composition of the coal seam base plate, the rock formation strength and rock formation thickness of each rock formation are determined, the characteristic values of the rock formation are calculated, and the weighted compressive strength of the coal seam base plate is determined based on these characteristic values, and finally combined with the weighted compressive resistance. The intensity and feature data sets are calculated for the depth of damage.
The accuracy and reliability of the damage depth calculation are improved, and more accurate damage depth values are obtained, making it more in line with the actual engineering conditions of coal mines, ensuring the scientificity and rationality of mining site management and tunnel surrounding rock control.
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Figure CN119228576B_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the technical field of coal seam data processing, and in particular to a method and device for acquiring the mining damage depth of a close-range coal seam floor. Background Art
[0002] Close-range mining of the upper coal seam will cause damaging damage to the roof of the lower coal seam. The severity of the damage to the bottom plate is related to the difficulty of roof management of the mining site and surrounding rock control of the tunnel in the lower coal seam. Therefore, studying the mining-induced damage characteristics of the lower coal seam roof caused by upper coal seam mining is an important part of studying the laws of surrounding rock activity in close-range coal seam mining, and plays an important guiding role in selecting roof management methods for the lower coal seam mining site and surrounding rock control plans for the tunnel. Summary of the invention
[0003] The present application aims to solve one of the technical problems in the related art at least to some extent.
[0004] To this end, the first purpose of the present application is to propose a method for obtaining the damage depth of coal seam floor mining at close range, so as to achieve more accurate acquisition of the damage depth.
[0005] The second purpose of the present application is to provide a device for acquiring the mining damage depth of the coal seam floor at close range.
[0006] The third objective of the present application is to provide an electronic device.
[0007] A fourth objective of the present application is to provide a computer-readable storage medium.
[0008] A fifth object of the present application is to provide a computer program product.
[0009] To achieve the above-mentioned purpose, the first embodiment of the present application proposes a method for obtaining the mining damage depth of the coal seam floor at a close distance, comprising:
[0010] Acquire a characteristic data set of the coal seam, wherein the characteristic data set includes an average bulk density of the overlying rock layer, a buried depth of the coal seam, and an inclined length of the working face;
[0011] Determine the rock formation composition of the coal seam floor, and obtain the rock formation strength and rock formation thickness based on the rock formation composition;
[0012] Determining a characteristic value of the rock formation according to the rock formation strength and the rock formation thickness, and determining a weighted compressive strength of the coal seam floor based on the characteristic value of the rock formation;
[0013] The mining damage depth of the coal seam floor is determined based on the weighted compressive strength and the characteristic data set.
[0014] To achieve the above-mentioned purpose, the second embodiment of the present application proposes a device for obtaining the mining damage depth of a close-range coal seam floor, comprising:
[0015] A first acquisition module is used to acquire a characteristic data set of a coal seam, wherein the characteristic data set includes an average bulk density of an overlying rock layer, a buried depth of the coal seam, and an inclined length of a working face;
[0016] A second acquisition module is used to determine the rock formation composition of the coal seam floor, and obtain the rock formation strength and rock formation thickness according to the rock formation composition;
[0017] A third acquisition module is used to determine a characteristic value of the rock formation according to the rock formation strength and the rock formation thickness, and determine a weighted compressive strength of the coal seam floor based on the characteristic value of the rock formation;
[0018] The depth acquisition module is used to determine the mining damage depth of the coal seam floor based on the weighted compressive strength and the characteristic data set.
[0019] To achieve the above-mentioned purpose, the third aspect of the present application provides an electronic device, including: a processor, and a memory communicatively connected to the processor;
[0020] The memory stores computer-executable instructions;
[0021] The processor executes the computer-executable instructions stored in the memory to implement the method described in the embodiment of the first aspect.
[0022] To achieve the above-mentioned purpose, the fourth aspect embodiment of the present application proposes a computer-readable storage medium, in which computer-readable storage medium is stored computer execution instructions, and when the computer execution instructions are executed by a processor, they are used to implement the method described in the first aspect embodiment.
[0023] To achieve the above-mentioned purpose, the fifth aspect of the present application proposes a computer program product, including a computer program, which implements the method described in the first aspect when executed by a processor.
[0024] The method and device for obtaining the damage depth of the coal seam floor caused by mining at close range provided in the present application obtain the characteristic data set of the coal seam and the rock composition of the coal seam floor, and determine the rock strength and rock thickness of each rock layer, calculate the characteristic values according to the rock strength and rock thickness, and then determine the weighted compressive strength according to the characteristic values, and calculate the damage depth with the weighted compressive strength and the characteristic data set, thereby solving the problem of large errors in the existing calculation of the damage depth directly based on the strength of the lowest rock layer, and the damage depth obtained is more accurate.
[0025] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through the practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS
[0026] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:
[0027] Figure 1 A schematic flow chart of a method for obtaining the mining damage depth of a close-range coal seam floor provided in an embodiment of the present application;
[0028] Figure 2 A schematic flow chart of another method for obtaining the mining damage depth of a close-range coal seam floor provided in an embodiment of the present application;
[0029] Figure 3 This is a schematic diagram of the mining damage form of the bottom slab in area A;
[0030] Figure 4 This is a schematic diagram of the lithology of the coal seam floor of A1 Mine;
[0031] Figure 5 This is a schematic diagram of the lithology of the coal seam floor of A2 Mine;
[0032] Figure 6 A schematic diagram of the structure of a device for acquiring the mining damage depth of a close-range coal seam floor provided in an embodiment of the present application. DETAILED DESCRIPTION
[0033] Embodiments of the present application are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present application, and should not be construed as limiting the present application.
[0034] The following describes the method and device for obtaining the mining damage depth of the close-range coal seam floor according to an embodiment of the present application with reference to the accompanying drawings.
[0035] Figure 1 The following is a flow chart of a method for obtaining the mining damage depth of a close-range coal seam floor provided in an embodiment of the present application. Figure 1 As shown, the method comprises the following steps:
[0036] S101, obtaining a characteristic data set of the coal seam, the characteristic data set including the average bulk density of the overlying rock strata, the buried depth of the coal seam and the inclined length of the working face.
[0037] The factors affecting the depth of coal seam floor failure mainly include the average bulk density of the overlying rock strata, the inclination of the working face, the coal seam mining depth and the compressive strength of the bottom rock strata; the overlying rock strata are the rock strata above the coal seam, which can also be called the roof. The bulk density refers to the weight of an object or the weight per unit volume. The average bulk density of the overlying rock strata refers to the weight of the rock strata per unit volume in the rock strata above the mined coal seam. The size of the average bulk density of the overlying rock strata is very important for evaluating the stability of the mine and designing the support structure. The average bulk density of the overlying rock strata of the coal seam can be determined by on-site measurement.
[0038] The burial depth of a coal seam refers to the vertical distance of the coal seam from the ground surface. The depth of the coal seam can be determined through geological exploration or measurement data.
[0039] The inclined length of the working face refers to the length of the working face advanced along the inclination direction of the coal seam, which usually includes the length of the transport inclined tunnel and the return air inclined tunnel. The sum of the lengths of the transport inclined tunnel and the return air inclined tunnel can be used as the inclined length of the working face.
[0040] S102, determining the rock formation composition of the coal seam floor, and obtaining the rock formation strength and rock formation thickness according to the rock formation composition.
[0041] It is understandable that the coal seam floor may be composed of multiple layers of rock strata with different lithologies. Therefore, the rock stratum composition of the coal seam floor is obtained, the various rock strata that make up the coal seam floor are determined, and the rock stratum strength and rock stratum thickness of each rock stratum are obtained. The rock stratum strength refers to the ability of the rock stratum to resist damage from external forces, and the rock stratum thickness refers to the vertical distance between the top of the rock stratum and the ground.
[0042] S103, determining a characteristic value of the rock formation according to the rock formation strength and the rock formation thickness, and determining a weighted compressive strength of the coal seam floor based on the characteristic value of the rock formation.
[0043] Optionally, the product of the rock formation strength and the rock formation thickness may be calculated as the characteristic value of the rock formation, or a weight coefficient may be obtained to perform weighted multiplication of the rock formation strength and the rock formation thickness to obtain the characteristic value of the rock formation.
[0044] In some implementations, if the coal seam floor is composed of rock layers of various lithologies, after determining the characteristic value of each rock layer, the average value of all rock layers can be calculated as the weighted compressive strength of the coal seam floor; optionally, a preset weight can be obtained to calculate the sum of the characteristic values of all rock layers, and the sum is weighted according to the preset weight to obtain the weighted compressive strength. The weighted compressive strength integrates the characteristic information of all rock layers of the coal seam floor, thereby improving the reliability of the weighted compressive strength calculation.
[0045] S104, determining the mining damage depth of the coal seam floor based on the weighted compressive strength and the characteristic data set.
[0046] The methods for obtaining the mining damage depth of the coal seam floor in the existing technology include: a theoretical formula based on elastic-plastic theory and the stress distribution characteristics of a semi-infinite body, a functional formula constructed based on the limit slip line field theory, and a measured method based on field measurements; in order to ensure the reliability and accuracy of the results in actual calculations, the above methods are usually used in combination. The relevant calculation parameters involved in the theoretical formula proposed based on the elastic-plastic theory can be directly obtained through field measurements or laboratory tests, and therefore are commonly used calculation methods.
[0047] The formula for calculating the failure depth based on the elastic-plastic theory and the semi-infinite body stress distribution theory is:
[0048]
[0049] in, It is the mining damage depth of coal seam floor; is the average bulk density of the overlying rock; is the buried depth of coal seam; is the tilt strength of the working surface; is the compressive strength of the bottom rock layer, which is taken as the compressive strength of the bottom rock layer of the bottom plate, which is inconsistent with the occurrence characteristics of coal-bearing strata. The bottom rock layer may be composed of multiple layers of rock layers with different lithologies. Therefore, directly using the bottom rock layer strength for calculation has low accuracy.
[0050] It is very common to deploy close-range coal seam mining in an upper mining and lower excavation manner. In this embodiment, the damage depth is calculated based on the weighted compressive strength, that is, the compressive strength of the bottom plate rock layer in the above formula is corrected to the weighted compressive strength, thereby improving the accuracy and reliability of the damage depth calculation. The weighted compressive strength integrates all the rock layer information of the bottom plate, reduces calculation errors, and helps to ease the tense situation of mining continuity in close-range coal seam mines, and ensure the orderly and efficient development of mining in close-range coal seam mines.
[0051] In this embodiment, a characteristic data set of the coal seam and the rock composition of the coal seam floor are obtained, and the rock strength and rock thickness of each rock layer are determined. The characteristic value is calculated according to the rock strength and rock thickness, and then the weighted compressive strength is determined according to the characteristic value. The damage depth is calculated using the weighted compressive strength and the characteristic data set. Compared with the existing method of directly calculating the damage depth based on the strength of the lowest layer of rock, the calculation based on the weighted compressive strength in this embodiment is more reasonable, and the obtained damage depth is more accurate, making it more in line with the actual engineering conditions of the coal mine, ensuring that the mining site management methods and tunnel surrounding rock control methods selected for close-range coal seam mining in coal mines are more scientific and reasonable.
[0052] Figure 2 A flow chart of another method for obtaining the mining damage depth of a close-range coal seam floor provided in an embodiment of the present application. Figure 2As shown, the method comprises the following steps:
[0053] S201, obtaining a characteristic data set of the coal seam, the characteristic data set including the average bulk density of the overlying rock strata, the buried depth of the coal seam and the inclined length of the working face.
[0054] In the embodiment of the present application, the implementation method of step S201 can be implemented by any of the methods in the embodiments of the present disclosure, which is not limited here and will not be repeated.
[0055] S202, determining the rock formation composition of the coal seam floor, and obtaining the rock formation strength and rock formation thickness according to the rock formation composition.
[0056] Optionally, the rock properties of the coal seam floor can be detected from top to bottom to determine one or more rock layers with different rock properties in the coal seam floor, such as clay rock, mudstone, siltstone, sandstone and limestone. There are differences in the rock strength of different rock layers. For example, mudstone has lower strength and stability, siltstone has lower strength, and sandstone has higher strength and better stability. Each rock layer is measured to obtain the corresponding rock strength and rock thickness of each rock layer.
[0057] In the embodiment of the present application, the implementation method of step S202 can be implemented by any of the methods in the embodiments of the present disclosure, which is not limited here and will not be repeated.
[0058] S203, obtaining the product of the rock formation strength and the corresponding rock formation thickness as a characteristic value of the rock formation.
[0059] S204, obtaining a first summation result of the characteristic values of all rock layers and a second summation result of the rock layer thicknesses of all rock layers.
[0060] Optionally, the first summation result can be expressed as: , is the rock formation strength of the first rock type in the rock formation, is the thickness of the first lithology in the formation, is the rock formation strength of the nth rock type in the rock formation, is the thickness of the rock layer of the nth lithology in the rock layer.
[0061] Optionally, the second summation result is expressed as: .
[0062] S205, calculating the ratio of the first summation result to the second summation result as the weighted compressive strength of the coal seam floor.
[0063] The weighted compressive strength can be expressed as:
[0064]
[0065] in, Represents weighted compressive strength.
[0066] S206, determining the mining damage depth of the coal seam floor based on the weighted compressive strength and the characteristic data set.
[0067] In some implementations, the corresponding first square value and second square value can be determined based on the average bulk density of the overlying rock strata and the burial depth of the coal seam in the feature data set; the first numerical value can be determined based on the first square value, the second square value and the inclination length of the working face; the second numerical value can be determined based on the square value of the weighted compressive strength; and the ratio of the first numerical value to the second numerical value can be used as the mining damage depth of the coal seam floor.
[0068] Optionally, the calculation formula for the coal seam floor mining damage depth is:
[0069]
[0070] in, It is the mining damage depth of coal seam floor; is the average bulk density of the overburden layer, is the first square value; is the buried depth of coal seam, is the second square value; is the inclined length of the working surface; is the weighted compressive strength; is the first value; is the second value.
[0071] For example, take the mining area of A close to the coal seam as an example. Figure 3 This is a schematic diagram of the mining damage of the bottom slab in area A. is the maximum yield failure depth of the bottom plate, It is the horizontal distance from the maximum yield failure depth of the floor to the edge of the coal pillar; Figure 4 The 10m range of the 2# coal seam floor of A1 Mine is composed of four different rock formations, including mudstone, fine sandstone, 3# coal seam and sandy mudstone. Figure 5 The 10m range of the bottom plate of the 2# coal seam in A2 mine is composed of four different lithological strata, namely fine sandstone, medium sandstone, sandy mudstone and 3# coal seam.
[0072] The rock formation thickness and rock formation strength of the rock formations corresponding to the lithology of the A1 mine and the A2 mine are obtained, as shown in Table 1 and Table 2:
[0073] Table 1
[0074]
[0075] Table 2
[0076]
[0077] The coal seam of A1 mine is buried at a depth of 380m and the bulk density of the overlying rock is 25kN / m 3 , the inclined length of the working face is 200m, then according to the above calculation formula of the damage depth:
[0078]
[0079] If the calculation formula for the damage depth in the prior art is used, the direct bottom of the A1 mine is mudstone, and the rock layer strength is 34.22MPa. Substituting it into the calculation formula of the prior art, we get:
[0080]
[0081] Compared with the 3.03m obtained by the calculation formula provided in this application, the 6.05m obtained by the original calculation method has almost doubled. It can be seen that the selection of the bottom rock strength parameters has a great influence on the calculation results. The coal seam bottom rock mass is directly considered as the direct bottom rock layer, while ignoring that the bottom rock layer is composed of multiple layers of rock layers with different lithologies, which is obviously inconsistent with the occurrence characteristics of coal-bearing sedimentary rock strata, and the calculation accuracy is low.
[0082] Accordingly, based on the data in Table 2, the weighted compressive strength is calculated as:
[0083]
[0084] The coal seam of A2 Mine is buried at a depth of 174m and the overlying rock strata have a bulk density of 25kN / m 3 , the inclined length of the working face is 200m, then according to the above calculation formula of the damage depth:
[0085]
[0086] If the calculation formula for the damage depth in the prior art is used, the direct floor of the coal seam is fine sandstone with a strength of 72.67Mpa, and the formula is substituted to obtain:
[0087]
[0088] By comparison, the result calculated using the revised formula for floor failure depth is 0.37m, while the result using the original formula is 0.28m, the former being 32% greater than the latter. Based on the above exemplary comparison, it can be found that if the direct bottom of the coal seam floor is a soft rock layer with low strength, such as mudstone or sandy mudstone, the result calculated using the revised formula will be much smaller than the result of the original formula. If the direct bottom of the coal seam floor is a hard rock layer with high strength, such as fine sandstone, the result calculated using the revised formula will be larger than the original formula. The coal-bearing strata are not composed of a single fixed lithology, but are composed of multiple layers of varying strengths superimposed on each other. Therefore, the revised formula integrates the strength information of all rock layers, and the calculation result obtained is more accurate.
[0089] In this embodiment, by obtaining the rock composition of the coal seam bottom plate and the rock strength and rock thickness of each rock type, the product of the rock strength and the rock thickness is used as the characteristic value, the summation calculation is performed according to the characteristic values of all rock layers, and the ratio of the summation result to the thickness of all rock layers is calculated as the weighted compressive strength. The weighted compressive strength combines the rock characteristics of all rock types and is more accurate than the calculation of a single rock layer strength. Therefore, the calculation of the destruction depth based on the weighted compressive strength is also more reasonable and precise, with higher accuracy, making it more in line with the actual engineering conditions of coal mines, ensuring that the mining site management methods and tunnel surrounding rock control methods selected for close-range coal seam mining in coal mines are more scientific and reasonable.
[0090] In order to implement the above-mentioned embodiment, the present application also proposes a device for acquiring the mining damage depth of the coal seam floor at a close distance.
[0091] Figure 6 This is a schematic diagram of the structure of a device for obtaining the mining damage depth of a coal seam floor at a short distance provided in an embodiment of the present application. Figure 6 As shown, the device 600 for acquiring the mining damage depth of the coal seam floor at a short distance comprises:
[0092] The first acquisition module 601 is used to acquire a characteristic data set of the coal seam, wherein the characteristic data set includes an average bulk density of the overlying rock layer, a buried depth of the coal seam, and an inclined length of the working face;
[0093] The second acquisition module 602 is used to determine the rock formation composition of the coal seam floor, and obtain the rock formation strength and rock formation thickness according to the rock formation composition;
[0094] The third acquisition module 603 is used to determine the characteristic value of the rock formation according to the rock formation strength and the rock formation thickness, and determine the weighted compressive strength of the coal seam floor based on the characteristic value of the rock formation;
[0095] The depth acquisition module 604 is used to determine the mining damage depth of the coal seam floor based on the weighted compressive strength and the characteristic data set.
[0096] Furthermore, in a possible implementation of the embodiment of the present application, the second acquisition module 602 includes:
[0097] Detecting the lithology of the coal seam floor to determine one or more strata with different lithology in the coal seam floor;
[0098] Each rock layer is measured to obtain the rock layer strength and rock layer thickness of each rock layer.
[0099] Further, in a possible implementation of the embodiment of the present application, the third acquisition module 603 includes:
[0100] The product of the rock formation strength and the corresponding rock formation thickness is obtained as the characteristic value of the rock formation.
[0101] Further, in a possible implementation of the embodiment of the present application, the third acquisition module 603 includes:
[0102] Obtaining a first summation result of the characteristic values of all rock layers and a second summation result of the rock layer thicknesses of all rock layers;
[0103] The ratio of the first summation result to the second summation result is calculated as the weighted compressive strength of the coal seam floor.
[0104] Furthermore, in a possible implementation of the embodiment of the present application, the depth acquisition module 604 includes:
[0105] Determine the corresponding first square value and second square value according to the average bulk density of the overlying rock layer and the buried depth of the coal seam in the characteristic data set;
[0106] Determine a first value according to the first square value, the second square value and the inclined length of the working surface;
[0107] Determining a second value according to the square value of the weighted compressive strength;
[0108] The ratio of the first value to the second value is taken as the mining damage depth of the coal seam floor.
[0109] It should be noted that the aforementioned explanation of the embodiment of the method for obtaining the mining damage depth of the close-range coal seam floor is also applicable to the device for obtaining the mining damage depth of the close-range coal seam floor of this embodiment, and will not be repeated here.
[0110] In an embodiment of the present application, a characteristic data set of the coal seam and the rock composition of the coal seam floor are obtained, and the rock strength and rock thickness of each rock layer are determined. Characteristic values are calculated based on the rock strength and rock thickness, and then the weighted compressive strength is determined based on the characteristic values. The failure depth is calculated using the weighted compressive strength and the characteristic data set. Compared with the existing method of directly calculating the failure depth based on the strength of the lowest rock layer, the calculation based on the weighted compressive strength in this embodiment is more reasonable, and the obtained failure depth is also more accurate.
[0111] In order to implement the above embodiments, the present application also proposes an electronic device, comprising: a processor, and a memory communicatively connected to the processor; the memory stores computer-executable instructions; the processor executes the computer-executable instructions stored in the memory to implement the method provided by the above embodiments.
[0112] In order to implement the above embodiments, the present application also proposes a computer-readable storage medium, in which computer-executable instructions are stored. When the computer-executable instructions are executed by a processor, they are used to implement the methods provided by the above embodiments.
[0113] In order to implement the above embodiments, the present application also proposes a computer program product, including a computer program, which implements the methods provided by the above embodiments when executed by a processor.
[0114] The collection, storage, use, processing, transmission, provision and disclosure of user personal information involved in this application are in compliance with relevant laws and regulations and do not violate public order and good morals.
[0115] It should be noted that personal information from users should be collected for legitimate and reasonable purposes and should not be shared or sold outside of these legitimate uses. In addition, such collection / sharing should be carried out after receiving the user's informed consent, including but not limited to notifying the user to read the user agreement / user notice and sign the agreement / authorization including authorization of relevant user information before the user uses the function. In addition, any necessary steps should be taken to protect and safeguard access to such personal information data and ensure that others who have access to personal information data comply with its privacy policy and procedures.
[0116] The present application is expected to provide an implementation scheme for users to selectively block the use or access of personal information data. That is, the present disclosure is expected to provide hardware and / or software to prevent or block access to such personal information data. Once the personal information data is no longer needed, the risk can be minimized by limiting data collection and deleting the data. In addition, when applicable, such personal information is de-identified to protect the privacy of the user.
[0117] In the description of the aforementioned embodiments, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, unless they contradict each other.
[0118] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In the description of this application, the meaning of "plurality" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.
[0119] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, fragment or portion of code comprising one or more executable instructions for implementing the steps of a custom logical function or process, and the scope of the preferred embodiments of the present application includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in the reverse order depending on the functions involved, which should be understood by technicians in the technical field to which the embodiments of the present application belong.
[0120] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in combination with these instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in combination with these instruction execution systems, devices or apparatuses. More specific examples (non-exhaustive list) of computer-readable media include the following: an electrical connection with one or more wires (electronic device), a portable computer disk box (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium and then editing, interpreting or processing in other suitable ways if necessary, and then stored in a computer memory.
[0121] It should be understood that the various parts of the present application can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.
[0122] A person skilled in the art may understand that all or part of the steps in the method for implementing the above-mentioned embodiment may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment.
[0123] In addition, each functional unit in each embodiment of the present application may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.
[0124] The storage medium mentioned above may be a read-only memory, a magnetic disk or an optical disk, etc. Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limiting the present application. A person of ordinary skill in the art may change, modify, replace and modify the above embodiments within the scope of the present application.
Claims
1. A method for obtaining the mining damage depth of a close-range coal seam floor, characterized in that: include: Acquire a characteristic data set of the coal seam, wherein the characteristic data set includes an average bulk density of the overlying rock layer, a buried depth of the coal seam, and an inclined length of the working face; Determine the rock formation composition of the coal seam floor, and obtain the rock formation strength and rock formation thickness based on the rock formation composition; Determining a characteristic value of the rock formation according to the rock formation strength and the rock formation thickness, and determining a weighted compressive strength of the coal seam floor based on the characteristic value of the rock formation; Determining the mining damage depth of the coal seam floor based on the weighted compressive strength and the characteristic data set; Wherein, determining the mining damage depth of the coal seam floor based on the weighted compressive strength and the characteristic data set includes: Determine the corresponding first square value and second square value according to the average bulk density of the overlying rock layer and the burial depth of the coal seam in the characteristic data set; Determine a first value according to the first square value, the second square value and the inclined length of the working surface; Determining a second value according to the square value of the weighted compressive strength; The ratio of the first value to the second value is used as the mining damage depth of the coal seam floor; The calculation formula for the mining damage depth of the coal seam floor is: in, is the mining damage depth of the coal seam floor; is the average bulk density of the overburden, is the first square value; is the burial depth of the coal seam, is the second square value; is the inclined length of the working surface; is the weighted compressive strength; is the first value; is the second value.
2. The method according to claim 1, characterized in that The determining of the rock formation composition of the coal seam floor and obtaining the rock formation strength and rock formation thickness according to the rock formation composition includes: Detecting the lithology of the coal seam floor to determine one or more strata of different lithology in the coal seam floor; Each of the rock formations is measured to obtain the rock formation strength and the rock formation thickness of each corresponding rock formation.
3. The method according to claim 2, characterized in that Determining the characteristic value of the rock formation according to the rock formation strength and the rock formation thickness includes: The product of the rock formation strength and the corresponding rock formation thickness is obtained as a characteristic value of the rock formation.
4. The method according to claim 2 or 3, characterized in that: The step of determining the weighted compressive strength of the coal seam floor based on the characteristic value of the rock layer comprises: Obtaining a first summation result of the characteristic values of all rock layers and a second summation result of the rock layer thicknesses of all rock layers; The ratio of the first summation result to the second summation result is calculated as the weighted compressive strength of the coal seam floor.
5. A device for obtaining the mining damage depth of a close-range coal seam floor, characterized in that: include: A first acquisition module is used to acquire a characteristic data set of a coal seam, wherein the characteristic data set includes an average bulk density of an overlying rock layer, a buried depth of the coal seam, and an inclined length of a working face; A second acquisition module is used to determine the rock formation composition of the coal seam floor, and obtain the rock formation strength and rock formation thickness according to the rock formation composition; A third acquisition module is used to determine a characteristic value of the rock formation according to the rock formation strength and the rock formation thickness, and determine a weighted compressive strength of the coal seam floor based on the characteristic value of the rock formation; A depth acquisition module, used to determine the mining damage depth of the coal seam floor based on the weighted compressive strength and the characteristic data set; Wherein, determining the mining damage depth of the coal seam floor based on the weighted compressive strength and the characteristic data set includes: Determine the corresponding first square value and second square value according to the average bulk density of the overlying rock layer and the burial depth of the coal seam in the characteristic data set; Determine a first value according to the first square value, the second square value and the inclined length of the working surface; Determining a second value according to the square value of the weighted compressive strength; The ratio of the first value to the second value is used as the mining damage depth of the coal seam floor; The calculation formula for the mining damage depth of the coal seam floor is: in, is the mining damage depth of the coal seam floor; is the average bulk density of the overburden, is the first square value; is the burial depth of the coal seam, is the second square value; is the inclined length of the working surface; is the weighted compressive strength; is the first value; is the second value.
6. The device according to claim 5, characterized in that The second acquisition module includes: Detecting the lithology of the coal seam floor to determine one or more strata of different lithology in the coal seam floor; Each of the rock formations is measured to obtain the rock formation strength and the rock formation thickness of each corresponding rock formation.
7. The device according to claim 6, characterized in that The third acquisition module includes: The product of the rock formation strength and the corresponding rock formation thickness is obtained as a characteristic value of the rock formation.
8. The device according to claim 6 or 7, characterized in that The third acquisition module includes: Obtaining a first summation result of the characteristic values of all rock layers and a second summation result of the rock layer thicknesses of all rock layers; The ratio of the first summation result to the second summation result is calculated as the weighted compressive strength of the coal seam floor.
Citation Information
Patent Citations
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