Underground resource exploitation optimization method and device, computer equipment and storage medium

Abstract

The application discloses an underground resource mining optimization method and device, computer equipment and a storage medium, and the method comprises the following steps: determining mining parameters according to the occurrence information of underground resources in a region to be mined and the geographical features of the ground; and based on the mining parameters, the optimization processing is performed in a highly sensitive manner, a mining length manner and a pushing speed manner. The source damage reduction feature of the mining parameters can effectively reduce the mining damage and the cost of ecological restoration, and improve the green mining technical level. The scheme systematically studies the key mining parameters, comprehensively controls the change law and mutual matching optimization of the mining height, the working face length and the pushing speed, and realizes the source damage reduction mining of the underground resources. Compared with the prior art, the scheme is more systematic and comprehensive, has the guidance and operability, and is beneficial to the systematic improvement of the restoration efficiency and benefits of the post-mining ground surface ecology.

Description

Technical Field

[0001] This invention relates to the field of resource extraction technology, and in particular to an optimized method, apparatus, computer equipment, and storage medium for underground resource extraction. Background Technology

[0002] Underground resources refer to various natural resources found below the Earth's surface, including various metallic and non-metallic minerals, groundwater, geothermal energy, etc. Almost all of them are formed by geological processes, and except for geothermal energy and shallow groundwater, the vast majority are non-renewable resources, their quantities gradually depleting with development and utilization. Green mining mainly involves three aspects: the source of mining, process control, and surface manifestation.

[0003] Existing technology provides a method for determining loss reduction parameters in underground mining of ultra-large coal working faces using Flac3D software (Fast Lagrangian Analysis of Continua, a simulation software developed by ITASC, USA). Key parameters for underground working face mining include dip length, coal seam thickness, advance distance, advance speed, burial depth, bedrock thickness, mining depth, mining method, roof and floor lithology, and roof management method. Existing technology also provides a mining loss reduction method, emphasizing the adjustment of advance speed for ultra-large working faces in near-horizontal or gently dipping coal seams. Ultra-large working faces are defined as working faces with a length exceeding 300 meters and an advance distance greater than 4000 meters, where the entire height is mined in a single operation. Furthermore, existing technology provides a coupled and coordinated mining method for controlling coal strata movement, namely, "mining-filling-retention," to control the movement and deformation values ​​of strata and the surface.

[0004] Currently, there are numerous methods for reducing losses during the extraction of underground resources. These methods mainly focus on simulation, mining backfilling, delamination grouting, and mining technology. However, most of these are sporadic individual cases or abstract conceptual methods, lacking systematic analysis of patterns and optimization methods, making it difficult to apply them widely and effectively in field mining operations. Summary of the Invention

[0005] The technical problem to be solved by this invention is to provide an optimized method for underground resource extraction, which makes full use of the self-healing ability of rock strata and the surface, reduces the impact of extraction on underground and surface ecology, and achieves source reduction.

[0006] To address the aforementioned technical problems, this invention provides an optimized method for underground resource extraction, comprising:

[0007] Based on the occurrence information of underground resources and surface geographical features of the area to be mined, the mining parameters are determined;

[0008] Based on the aforementioned mining parameters, optimization is performed using a highly sensitive method for underground resource mining, a mining length method, and an advance speed method.

[0009] Optionally, determining the mining parameters includes:

[0010] Determine the burial depth, mining dimensions, working face advance, mining dimensions, working face width, mining height, and surface topographic parameters.

[0011] Optionally, the optimization process based on the mining parameters, employing a highly sensitive approach to underground resource extraction, a mining length approach, and an advance speed approach, includes:

[0012] Based on the mining parameters, determine whether the estimated damage exceeds the surface's bearing capacity;

[0013] In response to situations exceeding the surface's carrying capacity, an analysis of the bedrock and surface foundation materials is conducted to determine whether the mining depth needs to be optimized.

[0014] Optionally, after analyzing whether the mining height needs to be optimized based on bedrock and surface materials, the process further includes:

[0015] Based on the continuity of underground mining and tunneling, the level of equipment at the working face, and the objects to be protected on the surface, the length of the working face can be shortened or lengthened.

[0016] Optionally, after shortening or lengthening the working face, the method further includes:

[0017] Determine whether the working face advance speed exceeds the set threshold;

[0018] In response to a value not exceeding the set threshold, the current working face advance speed is increased until the working face advance speed exceeds the set threshold.

[0019] Optionally, the optimization process based on the mining parameters, employing a highly sensitive approach to underground resource extraction, a mining length approach, and an advance speed approach, includes:

[0020] The underground resource extraction process is optimized according to the following expression.

[0021]

[0022] Where v is the working face advance speed, ranging from 0 to 50 m / day; H is the burial depth of the underground resource, L is the working face advance rate, W is the working face length, M is the mining height, m ​​is the filling height, B is the filling width, λ is the filling coefficient, and y is the damage amount.

[0023] Optionally, the optimization process based on the mining parameters, employing a highly sensitive approach to underground resource extraction, a mining length approach, and an advance speed approach, includes:

[0024] Depending on the actual object, optimization can be performed using a single method, a combination of any two methods, or a combination of all three methods.

[0025] To solve the above-mentioned technical problems, the present invention provides an optimization device for underground resource extraction, comprising:

[0026] The parameter determination module is used to determine mining parameters based on the occurrence information of underground resources and surface geographical features of the area to be mined.

[0027] The optimization processing module is used to perform optimization processing based on the mining parameters, using a highly sensitive method for underground resource mining, a mining length method, and an advance speed method.

[0028] Optionally, the parameter determination module is used to:

[0029] Determine the burial depth, mining dimensions, working face advance, mining dimensions, working face width, mining height, and surface topographic parameters.

[0030] Optionally, the optimization processing module is used for:

[0031] Based on the mining parameters, determine whether the estimated damage exceeds the surface's bearing capacity;

[0032] In response to situations exceeding the surface's carrying capacity, an analysis of the bedrock and surface foundation materials is conducted to determine whether the mining depth needs to be optimized.

[0033] Optionally, the optimization processing module is further configured to:

[0034] After analyzing whether the mining height needs to be optimized based on the bedrock and surface materials, the length of the working face can be shortened or lengthened based on the underground mining and tunneling continuity, the level of equipment at the working face, and the surface protection objects.

[0035] Optionally, the optimization processing module is further configured to:

[0036] After shortening or lengthening the working face, determine whether the working face advance speed is greater than the set threshold.

[0037] In response to a value not exceeding the set threshold, the current working face advance speed is increased until the working face advance speed exceeds the set threshold.

[0038] Optionally, the optimization processing module is specifically used to: optimize the extraction of underground resources according to the following expression.

[0039]

[0040] Where v is the working face advance speed, ranging from 0 to 50 m / day; H is the burial depth of the underground resource, L is the working face advance rate, W is the working face length, M is the mining height, m ​​is the filling height, B is the filling width, λ is the filling coefficient, and y is the damage amount.

[0041] Optionally, the optimization processing module is used for:

[0042] Depending on the actual object, optimization can be performed using a single method, a combination of any two methods, or a combination of all three methods.

[0043] To address the aforementioned technical problems, the present invention provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the above-described method.

[0044] To address the aforementioned technical problems, the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the above-described method.

[0045] Compared with the prior art, one or more embodiments of the above solutions may have the following advantages or beneficial effects:

[0046] This invention, utilizing the underground resource extraction optimization method, apparatus, computer equipment, and storage medium, starts from the extraction source and optimizes three key, actively adjustable parameters: extraction height, working face length, and advance speed. It provides trends and patterns of parameter changes, and through source-level loss reduction, forms a key ecological loss reduction technology adapted to the scale of coal mining. By controlling and optimizing extraction parameters with source-level loss reduction characteristics, it can effectively reduce the cost of mining damage and ecological restoration, and improve the level of green mining technology. This scheme systematically studies key mining parameters, comprehensively controlling the variation patterns and mutual matching optimization of extraction height, working face length, and advance speed to achieve source-level loss reduction in underground resource extraction. Compared with existing technologies, it is more systematic, comprehensive, instructive, and operable, and is conducive to systematically improving the efficiency and benefits of post-mining surface ecological restoration. Attached Figure Description

[0047] 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.

[0048] Figure 1 This is a first flowchart of an optimized method for underground resource extraction provided in an embodiment of the present invention;

[0049] Figure 2a The mining height optimization comparison trend chart provided by this invention;

[0050] Figure 2b The working surface length optimization trend diagram provided for this invention;

[0051] Figure 2c The working face propulsion speed variation trend diagram provided for this invention;

[0052] Figure 3 This is a second flowchart of the underground resource extraction optimization method provided in an embodiment of the present invention;

[0053] Figure 4 This is a third flowchart of the underground resource extraction optimization method provided in the embodiments of the present invention;

[0054] Figure 5 This is a fourth flowchart of the optimized method for underground resource extraction provided in an embodiment of the present invention;

[0055] Figure 6 A structural diagram of an underground resource extraction optimization device provided in an embodiment of the present invention;

[0056] Figure 7 A structural diagram of a computer device provided by the present invention. Detailed Implementation

[0057] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0058] To address the shortcomings of current methods for optimizing and reducing losses in underground resource extraction, this invention provides a solution capable of systematically analyzing patterns and optimizing processes. Specifically, it provides an optimization method, apparatus, computer equipment, and storage medium for underground resource extraction.

[0059] The following describes an optimized method for underground resource extraction provided by the present invention.

[0060] Example 1

[0061] like Figure 1 The diagram shown is a first flowchart of an optimized method for underground resource extraction provided by an embodiment of the present invention, which may include the following steps:

[0062] Step S101: Determine the mining parameters based on the occurrence information of underground resources and surface geographical features of the area to be mined.

[0063] In one scenario, based on the information on the occurrence of underground resources and the surface geographical features of the area to be mined, the burial depth, working face advance, working face width, mining height, and surface topographic parameters are determined. It should be noted that the underground resource occurrence information mainly includes coal seam thickness, burial depth, stratigraphic borehole columnar section, bedrock information, and loose layer information; the surface geographical features include topography, surface use, and vegetation types and coverage.

[0064] The exploration of underground mining resources' occurrence characteristics yielded basic data such as burial depth, resource thickness, bedrock thickness, and loose layer thickness. A survey of the corresponding surface areas was conducted to obtain data on topography, land use, vegetation types, and coverage. Optimization of three key parameters—mining height, working face length, and advance speed—began. Regarding mining height optimization, damage and mining height exhibit a quadratic relationship, making it crucial for loss reduction optimization; a smaller mining height results in better loss reduction. Methods for varying mining height were determined based on coal seam conditions and surface requirements. If the coal quality is good, the occurrence conditions are excellent, and surface requirements are high, backfilling is recommended instead of lowering the mining height for optimization. If the coal occurrence is complex and surface requirements are high, lowering the mining height is preferable for loss reduction. Regarding the optimization of working face length, damage and working face length exhibit a "Z"-shaped distribution, which is also directly related to surface standards. If there are important buildings or protections on the corresponding surface, the working face can be increased to place the protected object in the middle of the working face, or the working face can be shortened to place the protected object on the outer side of the working face, or the working face can be partially filled to transform it into a short working face, placing the protected object in the middle of the short working face. The working face advance speed reduces losses. The working face advance speed is closely related to the coal seam geology and equipment level. If the mining conditions are complex and the level of mechanization is low, the mining speed should not be too high. If the coal seam occurrence conditions are good and the level of mechanization is high, the advance speed should be increased. In terms of loss reduction effect, priority should be given to controlling the mining height, followed by the working face length, and then the advance speed.

[0065] Step S102: Based on the mining parameters, optimize the process using a highly sensitive method for underground resource mining, a mining length method, and an advance speed method.

[0066] In one scenario, underground resource extraction can be optimized using the following expression:

[0067]

[0068] Where v is the working face advance speed, ranging from 0 to 50 m / day; H is the burial depth of the underground resources; L is the working face advance rate; W is the working face length; M is the mining height; m is the filling height; B is the filling width; λ is the filling coefficient; and y is the damage amount.

[0069] Changes in mining height have the greatest impact on the surface of rock strata and are the most sensitive factor, making them the primary factor in mining damage control. Changes in mining height can be achieved in various ways, primarily through mining height adjustment and backfilling / replacement mining adjustments. Depending on the degree of backfilling, there are multiple modes, including full-height backfilling, partial-height backfilling, or no backfilling. The backfilling coefficient n ranges from 0 to 1. Underground mining backfilling implies changes in mining height. The higher the density and strength of the backfill, the better the damage reduction effect. The damage reduction effect has a quadratic relationship with the height, i.e., y = M. 2 .

[0070] The variation in working face length is the primary controlling factor influencing surface subsidence morphology and is closely related to mining depth. Working faces are typically classified into room-type, short-wall, long-wall, and ultra-long working faces based on length variation, with surface manifestations including micro-subsidence, insufficient subsidence, and sufficient subsidence. Comparatively, shorter working faces result in less mining damage. When the working face length exceeds a certain critical point, the longer the working face, the less overall damage is caused. The length of the working face is related to the burial depth H, with the dividing point between long and short working faces being 0.64 times H. A "short" working face is defined as one with a length less than 0.64 times the burial depth, falling within the range of 0 to 0.64H. Shorter working faces result in less damage, exhibiting a roughly linear relationship (y = L / H). A "long" working face is defined as one with a length greater than 0.64 times the burial depth. Under permissible damage conditions, longer working faces result in less overall damage, also exhibiting a linear relationship (y = H / L). Changes in working face length can be mitigated by localized backfilling, transforming the working face into a shorter working face, with the backfill width being 3 to 5 times the mining thickness.

[0071] The working face advance speed typically affects the response time of rock strata and the surface. Higher speeds result in lower damage; after a certain point, the damage decreases slightly and then stabilizes, with a speed range of 0–50 m / day. Optimization of working face advance speed and damage reduction are directly related to burial depth and working face length. The relationship between damage reduction and speed is zigzag-shaped, with damage occurring within the specified speed range. The relationship is increasing over time; the damage occurs within the speed range. This represents a decreasing relationship; velocity damage is mainly related to burial depth and working face length, with burial depth having a greater impact. The main controlling factor for reducing rock strata damage at the mining source is the optimization of mining height; the main controlling factor for surface morphology is the optimization of working face length; and the main controlling factor for surface fissures and cracks is the advance speed. These three factors are interactive and can be comprehensively controlled to achieve the desired results.

[0072] It should be noted that when optimizing underground resource extraction based on the aforementioned mining parameters using methods that are highly sensitive to mining, mining length, and advance speed, a single method, any combination of two methods, or all three methods can be used depending on the specific circumstances of the application. Those skilled in the art should determine the appropriate method based on the specific mining parameters and local conditions to implement source loss reduction and achieve green mining.

[0073] For example, in a certain underground mining condition, the mining height is 10m, the working face length is 100m, the burial depth is 100m, and the working face advance speed is 10m / day.

[0074] The optimization method is as follows: Figure 2a The key technology for reducing underground resource loss at its source is mining height optimization. Mining height and loss reduction exhibit a quadratic relationship, and mining height is the most direct and effective parameter for controlling surface loss reduction. Figure 2a It can be seen that the damage amount is 100 when the mining height is 10m, and after optimizing the mining height to 5m, the damage amount is reduced to 25. The damage after the mining height optimization is one-quarter of that before optimization, and the damage reduction effect is excellent. Figure 2b This involves optimizing and reducing losses in underground resource working faces. The relationship between length changes and losses exhibits a "Z" shape, with a threshold value for the length. The further away from the threshold, the better the loss reduction effect. Figure 2b It can be seen that the ratio of working face length to burial depth is 1, and the damage amount is 1. If the working face is shortened to 20m, the damage amount is 0.2, which is one-fifth of the original. The working face can be reduced by local filling, with a filling width of 30-50m. If the working face is increased to 400m, the damage amount is 0.25, which is one-quarter of the original, and the damage reduction effect is excellent. Figure 2c The optimization and deceleration of the working face advance speed shows a Z-shaped relationship between speed changes and loss reduction. There is a threshold for speed reduction; the further away from the threshold, the better the loss reduction effect. Figure 2c It can be seen that the speed threshold is 4.5 m / day, and the propulsion speed of 10 m / day is already within the damage reduction range. Increasing the propulsion speed will not have a significant effect on damage reduction. It should be noted that the damage values ​​between different parameters are not comparable across parameters and are only suitable for comparison within each parameter.

[0075] This invention utilizes an optimized method for underground resource extraction. Starting from the extraction source, it optimizes three key, actively adjustable parameters—extraction height, working face length, and advance speed—and identifies the trends and patterns of these parameter changes. By reducing losses at the extraction source, it establishes a key technology for ecological loss reduction adapted to the scale of coal mining. By controlling and optimizing extraction parameters with source-level loss reduction characteristics, it can effectively reduce the cost of mining damage and ecological restoration, and improve the level of green mining technology. This scheme systematically studies key extraction parameters, comprehensively controlling the variation patterns and mutual matching optimization of extraction height, working face length, and advance speed to achieve source-level loss reduction in underground resource extraction. Compared with existing technologies, it is more systematic, comprehensive, instructive, and operable, and is conducive to systematically improving the efficiency and benefits of post-mining surface ecological restoration.

[0076] Example 2

[0077] like Figure 3 The diagram shown is a second flowchart of the underground resource extraction optimization method provided by an embodiment of the present invention, which may include the following steps:

[0078] Step S201: Determine the mining parameters based on the occurrence information of underground resources and surface geographical features of the area to be mined.

[0079] In one scenario, based on the information on the occurrence of underground resources in the area to be mined and the surface geographical features, the burial depth, the advance of the mining face, the width of the mining face, the mining height, and the surface topographic parameters are determined.

[0080] Step S202: Determine whether the estimated damage exceeds the surface bearing capacity based on the mining parameters.

[0081] Step S203: In response to exceeding the surface bearing capacity, analyze whether the mining height needs to be optimized based on the bedrock and surface foundation materials.

[0082] It should be noted that, Figure 3 The method embodiments shown have Figure 1 In addition to all the beneficial effects of the method embodiments shown, Figure 3 The method embodiment shown illustrates an optimization process for underground resource extraction based on a single approach, namely, extraction height.

[0083] Example 3

[0084] like Figure 4 The diagram shown is a third flowchart of the underground resource extraction optimization method provided in this embodiment of the invention, which may include the following steps:

[0085] Step S301: Determine the mining parameters based on the occurrence information of underground resources and surface geographical features of the area to be mined.

[0086] In one scenario, based on the information on the occurrence of underground resources in the area to be mined and the surface geographical features, the burial depth, the advance of the mining face, the width of the mining face, the mining height, and the surface topographic parameters are determined.

[0087] Step S302: Determine whether the estimated damage exceeds the surface bearing capacity based on the mining parameters.

[0088] Step S303: In response to exceeding the surface bearing capacity, analyze whether the mining height needs to be optimized based on the bedrock and surface foundation materials.

[0089] Step S303: Based on the underground mining and tunneling continuity, the level of equipment at the working face, and the surface protection objects, shorten or lengthen the length of the working face.

[0090] It should be noted that there are two ways to shorten the working face: one is to reduce the length of the working face, and the other is to partially fill the working face to effectively reduce its length, with the filling width being 3 to 5 times the mining height. Lengthening the working face can effectively reduce the amount of underground engineering development, reduce resource loss rate, and expand the uniform surface subsidence zone. It is a more recommended mining mode for loss reduction, but it is easily limited by geological conditions and equipment performance.

[0091] It should be noted that, Figure 4 The method embodiments shown have Figure 3 In addition to all the beneficial effects of the method embodiments shown, Figure 4 The illustrated method embodiment presents an optimization process for underground resource mining based on a combination of two methods: mining height and working face length. It should be noted that this embodiment only demonstrates one specific scenario where optimization is achieved by combining two of the following methods: underground resource mining height sensitivity, mining length, and advance speed. In reality, there are many other optimization scenarios based on combinations of these two methods, which are not listed here. This embodiment should not be construed as limiting the scope of the invention. Preferably, the loss reduction scheme of the present invention can employ the underground resource mining height sensitivity method, or the mining length method such as working face length variation loss reduction, or a combination of both. It is not recommended to use the advance speed method alone for optimization loss reduction.

[0092] Example 4

[0093] like Figure 5 The diagram shown is a fourth flowchart of the underground resource extraction optimization method provided in this embodiment of the invention, which may include the following steps:

[0094] Step S401: Determine the mining parameters based on the occurrence information of underground resources and surface geographical features of the area to be mined.

[0095] In one scenario, based on the information on the occurrence of underground resources in the area to be mined and the surface geographical features, the burial depth, the advance of the mining face, the width of the mining face, the mining height, and the surface topographic parameters are determined.

[0096] Step S402: Determine whether the estimated damage exceeds the surface bearing capacity based on the mining parameters.

[0097] Step S403: In response to exceeding the surface bearing capacity, analyze whether the mining height needs to be optimized based on the bedrock and surface foundation materials.

[0098] Step S403: Based on the underground mining and tunneling continuity, the level of equipment at the working face, and the surface protection objects, shorten or lengthen the length of the working face.

[0099] It should be noted that there are two ways to shorten the working face: one is to reduce the length of the working face, and the other is to partially fill the working face to effectively reduce its length, with the filling width being 3 to 5 times the mining height. Lengthening the working face can effectively reduce the amount of underground engineering development, reduce resource loss rate, and expand the uniform surface subsidence zone. It is a more recommended mining mode for loss reduction, but it is easily limited by geological conditions and equipment performance.

[0100] Step S404: Determine whether the working face advance speed is greater than the set threshold.

[0101] Step S405: In response to a value not exceeding the set threshold, increase the current working face advance speed until the working face advance speed exceeds the set threshold.

[0102] It should be noted that the working face advancing speed is a dynamic parameter; changes in speed take time to be transmitted to the surface, and the greater the burial depth, the longer the transmission time. Both higher and lower speeds are beneficial for loss reduction, and the speed threshold is... For most mining operations, faster speed results in higher mining efficiency, making it one of the more recommended methods.

[0103] It should be noted that, Figure 5 The method embodiments shown have Figure 4 In addition to all the beneficial effects of the method embodiments shown, Figure 5 The method embodiment shown illustrates a specific scenario where optimization is performed based on a combination of three methods: high sensitivity of underground resource extraction, extraction length, and advance speed.

[0104] The following describes the underground resource extraction optimization device provided in the embodiments of the present invention.

[0105] Example 5

[0106] like Figure 6 The diagram shown is a structural diagram of an underground resource mining optimization device provided in an embodiment of the present invention, including: a parameter determination module 510 and an optimization processing module 520.

[0107] The parameter determination module 510 is used to determine mining parameters based on the occurrence information of underground resources and surface geographical features of the area to be mined.

[0108] The optimization processing module 520 is used to perform optimization processing based on the mining parameters, using a highly sensitive method for underground resource mining, a mining length method, and an advance speed method.

[0109] In one scenario, the parameter determination module 510 is used to determine the burial depth, the advance rate of the mining face, the width of the mining face, the mining height, and the surface topography parameters.

[0110] In one scenario, the optimization processing module 520 is used to determine whether the estimated damage exceeds the surface bearing capacity based on the mining parameters; in response to exceeding the surface bearing capacity, it analyzes whether the mining height needs to be optimized based on the bedrock and surface foundation materials.

[0111] In another scenario, the optimization processing module 520 is also used to shorten or lengthen the working face length based on the underground mining and tunneling sequence, the working face equipment level, and the surface protection objects, after analyzing whether the mining height needs to be optimized according to the bedrock and surface base materials.

[0112] In another scenario, the optimization processing module 520 is further configured to determine whether the working face advance speed is greater than a set threshold after shortening or lengthening the working face; in response to the condition that it is not greater than the set threshold, increase the current working face advance speed until the working face advance speed is greater than the set threshold.

[0113] In another scenario, the optimization processing module 520 is specifically used to: optimize the extraction of underground resources according to the following expression.

[0114]

[0115] Where v is the working face advance speed, ranging from 0 to 50 m / day; H is the burial depth of the underground resource, L is the working face advance rate, W is the working face length, M is the mining height, m ​​is the filling height, B is the filling width, λ is the filling coefficient, and y is the damage amount.

[0116] In another scenario, the optimization processing module 520 is used to perform optimization processing using a single method, or by combining any two methods, or by using all three methods, depending on the actual object.

[0117] The underground resource extraction optimization device of this invention starts from the source of extraction and optimizes three key actively adjustable parameters: extraction height, working face length, and advance speed. It provides the trend of parameter changes and, through loss reduction at the source, forms a key technology for ecological loss reduction adapted to the scale of coal mining. By controlling and optimizing extraction parameters with source loss reduction characteristics, it can effectively reduce the cost of mining damage and ecological restoration, and improve the level of green mining technology. This scheme systematically studies key mining parameters, comprehensively controls the variation patterns of extraction height, working face length, and advance speed, and optimizes their mutual matching to achieve source loss reduction in underground resource extraction. Compared with existing technologies, it is more systematic, comprehensive, instructive, and operable, and is conducive to systematically improving the efficiency and benefits of post-mining surface ecological restoration.

[0118] Example 6

[0119] To address the aforementioned technical problems, the present invention provides a computer device, such as... Figure 7 As shown, it includes a memory 610, a processor 620, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the method described above.

[0120] The computer device may be a desktop computer, laptop, handheld computer, or cloud server, etc. The computer device may include, but is not limited to, processor 620 and memory 610. Those skilled in the art will understand that... Figure 7 This is merely an example of a computer device and does not constitute a limitation on the computer device. It may include more or fewer components than shown, or combine certain components, or different components. For example, the computer device may also include input / output devices, network access devices, buses, etc.

[0121] The processor 620 may be a Central Processing Unit (CPU), or other general-purpose processors, 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, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor.

[0122] The memory 610 can be an internal storage unit of the computer device, such as a hard drive or RAM. The memory 610 can also be an external storage device of the computer device, such as a plug-in hard drive, Smart Media Card (SMC), Secure Digital (SD) card, or Flash Card. Furthermore, the memory 610 can include both internal and external storage units. The memory 610 is used to store the computer program and other programs and data required by the computer device. The memory 610 can also be used to temporarily store data that has been output or will be output.

[0123] Example 7

[0124] This application also provides a computer-readable storage medium, which may be a computer-readable storage medium included in the memory described in the above embodiments; or it may be a standalone computer-readable storage medium not assembled into a computer device. The computer-readable storage medium stores one or more computer programs, which, when executed by a processor, implement the methods described above.

[0125] If the integrated module / unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the methods of the above embodiments can also be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include: any entity or device capable of carrying the computer program code, recording media, USB flash drives, portable hard drives, magnetic disks, optical disks, computer memory 610, read-only memory (ROM), random access memory (RAM), electrical carrier signals, telecommunication signals, and software distribution media, etc. It should be noted that the content included in the computer-readable medium can be appropriately added or removed according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer-readable media do not include electrical carrier signals and telecommunication signals.

[0126] For system or device embodiments, since they are basically similar to method embodiments, the description is relatively simple, and relevant parts can be referred to in the description of the method embodiments.

[0127] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional units and modules is merely an example. In practical applications, the above functions can be assigned to different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiments can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit. Furthermore, the specific names of the functional units and modules are only for easy differentiation and are not intended to limit the scope of protection of this application. The specific working process of the units and modules in the above system can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0128] 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. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus 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 apparatus. 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 apparatus that includes said element.

[0129] It should be understood that the terminology used in this application specification is for the purpose of describing particular embodiments only and is not intended to limit the application. As used in this application specification and the appended claims, the singular forms “a,” “an,” and “the” are intended to include the plural forms unless the context clearly indicates otherwise.

[0130] It should also be understood that the term “and / or” as used in this application specification and the appended claims means any combination of one or more of the associated listed items and all possible combinations, and includes such combinations.

[0131] As used in this specification and the appended claims, the term "if" may be interpreted, depending on the context, as "when," "once," "in response to determination," or "in response to detection." Similarly, the phrases "if determined" or "if the described condition or event is detected" may be interpreted, depending on the context, as "once determined," "in response to determination," "once the described condition or event is detected," or "in response to the detection of the described condition or event."

[0132] The above description is merely a preferred embodiment of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention are included within the scope of protection of the present invention.

Claims

1. An optimized method for underground resource extraction, characterized in that, include: Based on the occurrence information of underground resources and surface geographical features of the area to be mined, the mining parameters are determined; Based on the aforementioned mining parameters, optimization is performed using a highly sensitive method for underground resource mining, a mining length method, and an advance speed method. The optimization process based on the mining parameters, using a height-sensitivity method, a mining length method, and an advance speed method for underground resource mining, includes: determining whether the estimated damage exceeds the surface bearing capacity based on the mining parameters; and, in response to exceeding the surface bearing capacity, analyzing whether the mining height needs to be optimized based on the bedrock and surface foundation materials. After analyzing whether the mining height needs to be optimized based on the bedrock and surface materials, the following also includes: shortening or lengthening the working face length based on the underground mining and tunneling continuity, the working face equipment level, and the surface protection objects. After shortening or lengthening the working face, the method further includes: determining whether the working face advancing speed is greater than a set threshold; and in response to the condition that it is not greater than the set threshold, increasing the current working face advancing speed until the working face advancing speed is greater than the set threshold.

2. The optimized method for underground resource extraction according to claim 1, characterized in that, The determination of mining parameters includes: Determine the burial depth, mining dimensions, working face advance, mining dimensions, working face width, mining height, and surface topographic parameters.

3. The optimized method for underground resource extraction according to claim 1, characterized in that, The optimization process based on the mining parameters, employing methods of high sensitivity in underground resource mining, mining length, and advance speed, includes: The underground resource extraction process is optimized according to the following expression. Where v is the working face advance speed, ranging from 0 to 50 m / day; H is the burial depth of the underground resources; L is the working face advance length; W is the working face length; M is the mining height; m is the filling height; B is the filling width; λ is the filling coefficient; and y is the damage amount.

4. The optimized method for underground resource extraction according to claim 1, characterized in that, The optimization process based on the mining parameters, employing methods of high sensitivity in underground resource mining, mining length, and advance speed, includes: Depending on the actual object, optimization can be performed using a single method, a combination of any two methods, or a combination of all three methods.

5. An optimization device for underground resource extraction, characterized in that, include: The parameter determination module is used to determine mining parameters based on the occurrence information of underground resources and surface geographical features of the area to be mined. The optimization processing module is used to perform optimization processing based on the mining parameters, using a highly sensitive method for underground resource mining, a mining length method, and an advance speed method. The optimization processing module is used to determine whether the estimated damage exceeds the surface bearing capacity based on mining parameters; in response to exceeding the surface bearing capacity, it analyzes whether the mining height needs to be optimized based on the bedrock and surface foundation materials; the optimization processing module is also used to shorten or lengthen the working face length based on the underground mining and tunneling continuity, the working face equipment level, and the surface protection objects after analyzing whether the mining height needs to be optimized based on the bedrock and surface foundation materials; the optimization processing module is also used to determine whether the working face advance speed is greater than a set threshold after shortening or lengthening the working face length; in response to not exceeding the set threshold, it increases the current working face advance speed until the working face advance speed exceeds the set threshold.

6. A computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the method as described in any one of claims 1 to 4.

7. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by the processor, it implements the method as described in any one of claims 1 to 4.

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