Coal mine goaf water storage suitability geological evaluation method and system

Abstract

The invention discloses a coal mine goaf water storage suitability geological evaluation method and system. The method comprises the steps that geological structure distribution data, coal seam thickness data and hydrological characteristic data of a coal mine goaf are collected; determining fracture characteristic evaluation data of the coal mine goaf according to the measurement of the propagation speed of the longitudinal waves when the longitudinal waves are propagated in the coal mine goaf; determining a crustal stress intensity ratio of the coal mine goaf according to the fracture characteristic evaluation data; and determining a water storage suitability score value of the coal mine goaf according to the determined geological structure distribution data, fracture characteristic evaluation data, coal seam thickness data, hydrological characteristic data and ground stress intensity ratio, and determining the water storage suitability condition of the coal mine goaf according to the determined water storage suitability score value. Through systematic data acquisition and analysis, accurate evaluation of the water storage suitability of the goaf is realized, the uncertainty brought by a traditional method is reduced, and the evaluation reliability is improved.

Description

Technical Field

[0001] The present application relates to the field of coal mine water storage, and specifically to a method, system, equipment and storage medium for geological evaluation of water storage suitability in coal mine goaf areas. Background Art

[0002] Water shortages are a key factor hindering the high-quality development of the coal industry. Furthermore, mine operations generate large quantities of mine water. If not properly utilized, this not only wastes resources but can also damage the ecological environment. To improve water resource utilization and reduce the ecological impact of mining areas, research on the water storage suitability of coal mine goafs has become an important technical approach to addressing water shortages. Coal mine goafs, due to their naturally formed, fractured rock mass, offer the potential for constructing underground water storage spaces.

[0003] Currently, methods for evaluating water storage suitability in coal mine goafs typically consider only the distribution of mining-induced fractures, rock collapse patterns, or mine water permeability characteristics. These methods typically utilize traditional geological mapping, mine water inrush monitoring, or rock mass structure surveys to obtain geological information about the goaf and then conduct suitability assessments based on empirical evidence or simple statistical models.

[0004] However, due to the complex geological conditions in coal mine goafs, traditional water storage suitability assessment methods have great uncertainty. Summary of the Invention

[0005] This application aims to provide a method, system, equipment and storage medium for geological evaluation of water storage suitability in coal mine goaf areas, at least to solve the problem of high uncertainty in water storage suitability assessment methods.

[0006] In a first aspect, the present application discloses a method for geological evaluation of water storage suitability in coal mine goaf areas, comprising: Collect geological structure distribution data, coal seam thickness data and hydrological characteristic data of coal mine goaf areas; Determining fracture characteristic evaluation data of the coal mine goaf based on the measurement of the propagation velocity of the longitudinal wave when propagating in the coal mine goaf; determining a ground stress intensity ratio of the coal mine goaf according to the fracture characteristic evaluation data; The water storage suitability score of the coal mine goaf is determined based on the determined geological structure distribution data, the fracture characteristic evaluation data, the coal seam thickness data, the hydrological characteristic data, and the ground stress intensity ratio, and the water storage suitability of the coal mine goaf is determined based on the determined water storage suitability score.

[0007] In a second aspect, the present application also discloses a geological evaluation system for water storage suitability in coal mine goaf areas, comprising: Collection devices, test and evaluation devices, and suitability assessment devices; The acquisition device is used to collect geological structure distribution data, coal seam thickness data and hydrological characteristic data of the coal mine goaf; The test and evaluation device is used to determine the fracture characteristic evaluation data of the coal mine goaf based on the measurement of the propagation velocity of the longitudinal wave when propagating in the coal mine goaf; The suitability assessment device is used to determine the ground stress intensity ratio of the coal mine goaf based on the fracture characteristic assessment data, and determine the water storage suitability score of the coal mine goaf based on the determined geological structure distribution data, the fracture characteristic assessment data, the coal seam thickness data, the hydrological characteristic data, and the ground stress intensity ratio, and determine the water storage suitability of the coal mine goaf based on the determined water storage suitability score.

[0008] In a third aspect, an embodiment of the present application further discloses an electronic device comprising a processor and a memory, wherein the memory stores programs or instructions that can be run on the processor, and when the programs or instructions are executed by the processor, the steps of the method described in the first aspect are implemented.

[0009] In a fourth aspect, an embodiment of the present application further discloses a readable storage medium, on which a program or instruction is stored. When the program or instruction is executed by a processor, the steps of the method described in the first aspect are implemented.

[0010] In summary, in the embodiment of the present application, by first collecting the geological structure distribution data, coal seam thickness data and hydrological characteristic data of the coal mine goaf, and by measuring the propagation speed of the longitudinal wave in the coal mine goaf, the fracture characteristic evaluation data is accurately determined, which provides a more scientific fracture characteristic measurement method than the traditional empirical analysis, effectively quantifies the permeability and stability of the coal rock fracture, and provides a solid data basis for the accurate calculation of the water storage suitability of the goaf while avoiding the one-sided problem caused by considering only a single or a few geological factors in the traditional method, reducing the error caused by human experience judgment, and enhancing the repeatability and reliability of the suitability evaluation; then further based on the fracture characteristic evaluation data By determining the ground stress intensity ratio of the coal mine goaf, a more comprehensive assessment of the structural stability of the water storage space in the goaf is achieved, thereby reducing the risk of deformation or instability of the water storage space in the goaf; finally, combining the geological structure distribution data, fracture characteristic assessment data, coal seam thickness data, hydrological characteristic data and ground stress intensity ratio, the water storage suitability score of the coal mine goaf is determined, achieving a more comprehensive and scientific evaluation of the water storage suitability of the goaf, thereby reducing the uncertainty of the evaluation results, making the water storage suitability evaluation between different mining areas more standardized, and improving the scalability and applicability of the evaluation, thereby providing guidance for optimizing the site selection and construction strategy of the water storage space. This technological breakthrough avoids the unreasonable site selection problem that may be caused by traditional evaluation methods, improves the utilization efficiency of mine water resources, and effectively reduces environmental impact. Therefore, based on the method of the embodiment of the present application, through systematic data collection and analysis, an accurate assessment of the water storage suitability of the goaf is achieved, the uncertainty brought by traditional methods is reduced, and the reliability of the evaluation results is improved, providing more reliable technical support for the sustainable development of the coal mining industry. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] In the attached figure: Figure 1 This is a flow chart of the steps of a method for geological evaluation of water storage suitability in coal mine goaf areas provided in an embodiment of the present application; Figure 2 This is a flowchart of another method for geological evaluation of water storage suitability in coal mine goafs provided in an embodiment of the present application; Figure 3 This is a block diagram of a geological evaluation system for water storage suitability in coal mine goaf areas provided in an embodiment of the present application; Figure 4 is a block diagram of an electronic device according to an embodiment of the present application; Figure 5 This is a block diagram of an electronic device according to another embodiment of the present application. DETAILED DESCRIPTION

[0012] The following will be combined with the drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are part of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0013] The terms "first," "second," and the like in the specification and claims of this application are used to distinguish similar objects, and are not used to describe a specific order or precedence. It should be understood that the terms used in this manner are interchangeable where appropriate, so that the embodiments of this application can be implemented in an order other than that illustrated or described herein, and that the objects distinguished by "first," "second," and the like are generally of the same type, and do not limit the number of objects; for example, the first object can be one or more. In addition, the term "and / or" in the specification and claims refers to at least one of the connected objects, and the character " / " generally indicates that the objects connected are in an "or" relationship.

[0014] like Figure 1 As shown, a method for geological evaluation of water storage suitability in coal mine goaf areas provided in an embodiment of the present application.

[0015] The method may include the following steps: Step 101: Collect geological structure distribution data, coal seam thickness data and hydrological characteristic data of the coal mine goaf.

[0016] In some embodiments of the present application, in order to evaluate the water storage suitability of coal mine goafs, it is necessary to collect geological structure distribution data, coal seam thickness data and hydrological characteristic data of the coal mine goafs to establish a complete analysis basis. Specifically, the geological structure distribution data, coal seam thickness data and hydrological characteristic data of the goafs can be obtained through on-site geological mapping, drilling sampling and mine water monitoring systems, and these data are sorted and stored for subsequent evaluation and analysis. The geological structure distribution data is used to determine the rock structure and possible leakage risks of the goafs, the coal seam thickness data affects the crack distribution and water storage capacity, and the hydrological characteristic data reflects the mine water inflow and water resource permeability characteristics. After obtaining the above data, comprehensive geological information can be provided, so that multi-factor data can be combined in the subsequent evaluation process to improve the accuracy of the water storage suitability assessment and reduce the risk of misjudgment due to one-sidedness of the data.

[0017] In a specific example, when conducting a water storage suitability assessment at a coal mine, high-precision geological mapping technology was first used to record the structural characteristics of the goaf, and seismic exploration methods were used to determine the thickness of the coal seam. Simultaneously, a mine water monitoring system was used to measure the amount of water inflow from the goaf and the chemical composition of the groundwater. This data was then compiled into a complete dataset. Based on this dataset, the enclosure and stability of the water storage space in the goaf were further analyzed, providing a reliable basis for subsequent water storage suitability scoring and site selection. Ultimately, this data collection process ensured the scientific nature of the subsequent assessment method, reduced potential misjudgments, and improved the efficiency of water resource utilization in the coal mine goaf.

[0018] Step 102: determining the fracture characteristic evaluation data of the coal mine goaf based on the measurement of the propagation velocity of the longitudinal wave when propagating in the coal mine goaf.

[0019] In some embodiments of the present application, in order to accurately evaluate the water storage suitability of coal mine goafs, it is necessary to analyze the fracture characteristics of the rock mass, and the distribution and permeability of the fractures have an important influence on the water storage capacity. Specifically, the fracture characteristic data of the rock mass can be obtained by measuring the propagation velocity of the longitudinal wave when it propagates in the coal mine goaf, and the fracture distribution parameters can be calculated based on the measurement results. The propagation velocity of the longitudinal wave (P-wave) in the rock mass is affected by the rock integrity, porosity and fracture distribution. A lower velocity usually indicates that the rock mass has a higher degree of fracture development and enhanced permeability. By measuring the longitudinal wave velocity and establishing fracture characteristic evaluation data, the fracture development of the coal mine goaf can be quantified, making the subsequent water storage suitability evaluation more scientific and accurate.

[0020] In a specific example, a mining area can assess the fissure characteristics of a goaf by first deploying seismic measuring points at different locations and using a seismic wave detector to release longitudinal wave signals into the goaf. The receiving system records the propagation time of the longitudinal wave in different areas and calculates the propagation velocity to form a velocity distribution map. Based on the analysis results, areas with high fissure development can be identified and the rock mass permeability coefficient can be calculated to assess whether the area is suitable for underground water storage space. Ultimately, this data analysis method improves the accuracy of fissure characteristic assessment, provides a reliable basis for water storage suitability evaluation, and optimizes the water resource utilization strategy of the mining area.

[0021] Step 103: determining the ground stress intensity ratio of the coal mine goaf according to the fracture characteristic evaluation data.

[0022] In some embodiments of the present application, in order to accurately evaluate the stability of the water storage space in the coal mine goaf, it is necessary to analyze the impact of the ground stress level on the deformation and water storage capacity of the rock mass. Specifically, the ground stress intensity ratio of the coal mine goaf can be calculated based on the fracture characteristic evaluation data, and the ground stress distribution can be determined in combination with relevant geological parameters. The ground stress intensity ratio indicates the bearing capacity of the rock mass under mining conditions, and its calculation usually involves the uniaxial compressive strength of the rock, the rock integrity coefficient and the maximum principal stress of the formation. A higher ground stress intensity ratio may indicate that the surrounding rock of the goaf is relatively stable and suitable for water storage, while a lower ratio may mean that the risk of structural deformation is higher. Through the calculation of this step, a quantitative analysis of the stability of the goaf can be achieved, providing a scientific basis for the subsequent water storage suitability scoring.

[0023] In a specific example, when assessing water storage suitability in a mining area, fracture characteristic data can be used to first calculate the rock mass integrity coefficient. This is then combined with field-measured uniaxial compressive strength of the rock and principal stress values of the formation to further calculate the in-situ stress intensity ratio of the goaf. The calculated results indicate that a particular water storage space in the mining area has a high in-situ stress intensity ratio, indicating that the surrounding rock is highly stable and suitable for underground water storage. This assessment method therefore ensures the reliability of water storage site selection in goaf areas and improves the efficient use of mine water resources.

[0024] Step 104, determine the water storage suitability score value for the coal mine goaf based on the determined geological structure distribution data, fracture characteristic evaluation data, coal seam thickness data, hydrological characteristic data, and ground stress intensity ratio, and determine the water storage suitability of the coal mine goaf based on the determined water storage suitability score value.

[0025] In some embodiments of the present application, in order to scientifically evaluate the water storage suitability of coal mine goafs, it is necessary to integrate multiple key geological parameters and conduct quantitative analysis to ensure the accuracy and repeatability of the evaluation results. Specifically, the water storage suitability score value can be calculated through a suitability scoring model based on the collected geological structure distribution data, fracture characteristic evaluation data, coal seam thickness data, hydrological characteristic data and ground stress intensity ratio, and the water storage suitability of the coal mine goaf can be determined based on the scoring results. The water storage suitability score value is based on a multi-factor weighted calculation, and each indicator is assigned a different weight to reflect the impact of different geological conditions on water storage capacity. Ultimately, the score value is used to classify the water storage suitability of coal mine goafs, guide the site selection and construction of water storage space in mining areas, thereby improving the utilization efficiency of mine water resources and reducing environmental impact.

[0026] In a specific example, a mining area needs to determine the water storage suitability of a coal mine goaf. First, data on the area's geological structure, fracture distribution, coal seam thickness, and hydrological data can be collected, and ground stress parameters can be measured. A suitability scoring model is then used to calculate the mining area's water storage suitability score, and based on the score, the goaf is classified as "relatively suitable" for water storage. Ultimately, this assessment guides the planning of water storage space in the mining area, making site selection more scientific and reasonable, improving the storage and utilization efficiency of mine water, and reducing resource waste and potential geological risks caused by inappropriate site selection.

[0027] In summary, in the embodiment of the present application, by first collecting the geological structure distribution data, coal seam thickness data and hydrological characteristic data of the coal mine goaf, and by measuring the propagation speed of the longitudinal wave in the coal mine goaf, the fracture characteristic evaluation data is accurately determined, which provides a more scientific fracture characteristic measurement method than the traditional empirical analysis, effectively quantifies the permeability and stability of the coal rock fracture, and provides a solid data basis for the accurate calculation of the water storage suitability of the goaf while avoiding the one-sided problem caused by considering only a single or a few geological factors in the traditional method, reducing the error caused by human experience judgment, and enhancing the repeatability and reliability of the suitability evaluation; then further based on the fracture characteristic evaluation data By determining the ground stress intensity ratio of the coal mine goaf, a more comprehensive assessment of the structural stability of the water storage space in the goaf is achieved, thereby reducing the risk of deformation or instability of the water storage space in the goaf; finally, combining the geological structure distribution data, fracture characteristic assessment data, coal seam thickness data, hydrological characteristic data and ground stress intensity ratio, the water storage suitability score of the coal mine goaf is determined, achieving a more comprehensive and scientific evaluation of the water storage suitability of the goaf, thereby reducing the uncertainty of the evaluation results, making the water storage suitability evaluation between different mining areas more standardized, and improving the scalability and applicability of the evaluation, thereby providing guidance for optimizing the site selection and construction strategy of the water storage space. This technological breakthrough avoids the unreasonable site selection problem that may be caused by traditional evaluation methods, improves the utilization efficiency of mine water resources, and effectively reduces environmental impact. Therefore, based on the method of the embodiment of the present application, through systematic data collection and analysis, an accurate assessment of the water storage suitability of the goaf is achieved, the uncertainty brought by traditional methods is reduced, and the reliability of the evaluation results is improved, providing more reliable technical support for the sustainable development of the coal mining industry.

[0028] Figure 2 This is another method for geological evaluation of water storage suitability in coal mine goaf areas provided in an embodiment of the present application.

[0029] The method may include the following steps: Step 201: Collect geological structure distribution data, coal seam thickness data and hydrological characteristic data of the coal mine goaf.

[0030] The method shown in this step has been described in step 101 and will not be repeated here.

[0031] Optionally, step 201 includes the following sub-steps: Sub-step 2011, obtaining geological structure distribution data based on the collection of fault throws in the coal mine goaf.

[0032] In some embodiments of the present application, in order to further determine the distribution of geological structures in coal mine goafs, it is necessary to collect fault distance data in goafs to identify the impact of stratum structure on water storage capacity. Specifically, geological mapping and seismic exploration techniques can be used to investigate faults in coal mine goafs and measure fault distances to determine the extent of stratum rupture. Fault distance refers to the horizontal or vertical displacement distance of rock strata on both sides of the fault. This parameter can reflect the complexity of geological structures. Areas with larger distances are usually accompanied by higher permeability, which may lead to an increased risk of leakage in water storage spaces. By collecting and analyzing fault distance data, the geological stability of coal mine goafs can be effectively evaluated, and support can be provided to optimize water storage suitability evaluation, making the selection of water storage sites in goafs more scientific and reasonable.

[0033] In a specific example, when assessing the water storage suitability of a coal mine goaf, a high-precision geological mapping instrument can be used to calibrate the faults in the goaf, and seismic reflection waves can be used to determine the fault distance. During the data collection process, the fault distances of multiple measuring points are recorded and their distribution is analyzed. Ultimately, the fault distance in a certain area exceeds 10 meters, indicating that the rock formation in this area is significantly affected by mining and has high permeability, making it unsuitable as a primary water storage space. Areas with smaller fault distances are more suitable for water storage. This assessment process improves the reliability of the water storage suitability evaluation of the goaf and reduces the geological risks that may be associated with the site selection of water storage spaces.

[0034] Sub-step 2012, obtaining coal seam thickness data based on the collection of crack height and layer thickness in the coal mine goaf.

[0035] In some embodiments of the present application, in order to further determine the coal seam thickness data in the coal mine goaf, it is necessary to collect the crack height and layer thickness of the coal seam to quantify its impact on water storage suitability. Specifically, drilling sampling and seismic exploration technology can be used to determine the coal seam thickness data in the coal mine goaf, including crack height (collapse height after coal seam mining) and layer thickness (original thickness of coal seam). Crack height is the height of the water-conducting fracture zone formed after coal seam mining. This parameter affects the water storage capacity of the goaf. A larger crack height usually means a larger water storage space, which can accommodate more mine water. The layer thickness determines the geological characteristics of the coal seam before mining and affects the water storage structure after mining. By collecting and analyzing crack height and layer thickness data, the assessment of the water storage capacity of the coal mine goaf can be optimized, so that the water storage site selection is more in line with geological conditions.

[0036] In a specific example, during a water storage suitability assessment at a mining area, core samples were drilled at various locations. Seismic wave reflection was used to determine the thickness of the coal seam, and post-mining fracture height data was calculated. The measurements revealed that the coal seam thickness in the mining area ranged from 3.5 to 8 meters, with a fracture height approximately 10 times the thickness. Analysis indicated that the area had ideal water storage capacity and was suitable for underground water storage. Ultimately, this data collection process ensured the scientific and rational selection of water storage sites, improved the efficiency of mine water resource utilization, and reduced assessment errors caused by insufficient data.

[0037] Sub-step 2013, obtaining hydrological characteristic data based on the collection of water inflow from the coal mine goaf.

[0038] In some embodiments of the present application, in order to further determine the hydrological characteristic data of the coal mine goaf, it is necessary to collect the water inflow of the mining area to analyze the groundwater infiltration and water storage capacity. Specifically, the mine water monitoring system or on-site measurement equipment can be used to record the water inflow of the goaf in different time periods, and analyze it in combination with relevant hydrological data. The water inflow refers to the amount of water flowing into the mine per unit time. This parameter can reflect the permeability of the surrounding rock of the goaf and the stability of water resources. Areas with large water inflow usually mean frequent groundwater activities, which may lead to an increased risk of leakage in the water storage space, while areas with small water inflow may have higher water storage stability. This can provide a basis for subsequent water storage suitability evaluation and make the utilization of mine water resources more efficient.

[0039] In a specific example, a mining area needed to assess the water storage suitability of a mined-out area. Water inflow monitoring equipment was deployed at multiple measurement points, and water inflow data was collected over different time periods. The measurements showed that the goaf was experiencing approximately 5,000 cubic meters of water inflow per day, with a high degree of mineralization. Data analysis indicated that this area might not be suitable for primary water storage due to the high water inflow and high permeability of the surrounding rock. Ultimately, this data collection process ensured the rationality of water storage site selection, improved the efficiency of mine water resource utilization, and reduced potential risks associated with leakage.

[0040] Step 202: determining fracture characteristic evaluation data of the coal mine goaf based on the measurement of the propagation velocity of the longitudinal wave when propagating in the coal mine goaf.

[0041] The method shown in this step has been described in step 102 and will not be repeated here.

[0042] Optionally, step 202 includes the following sub-steps: Sub-step 2021 , testing is performed based on the longitudinal wave velocity of the rock mass when the longitudinal wave propagates in the coal mine goaf, and the longitudinal wave velocity of the rock block when the longitudinal wave propagates in the rock block in the coal mine goaf.

[0043] In some embodiments of the present application, in order to further determine the integrity of the rock mass in the coal mine goaf, it is necessary to test the propagation velocity of longitudinal waves in the rock mass and rock blocks to analyze the rock mass structure and crack characteristics. Specifically, seismic wave detection equipment can be used to send longitudinal wave signals to the coal mine goaf, and measure the propagation velocity of longitudinal waves in the rock mass (large continuous rock formations) and rock blocks (smaller independent rock masses) respectively. The longitudinal wave velocity of the rock mass reflects the overall stability of the rock formation, while the longitudinal wave velocity of the rock block characterizes the structural characteristics of the local rock mass. The ratio of the two can be used to calculate the rock mass integrity coefficient. The test data helps to evaluate the degree of development of rock mass cracks, thereby supporting subsequent water storage suitability analysis.

[0044] In a specific example, a mining area conducted a water storage suitability assessment in a goaf. Seismic wave receivers were deployed at different rock formation locations and longitudinal wave signals were transmitted into the goaf. During data acquisition, the propagation velocity of the longitudinal wave in the rock mass was recorded as 3500 m / s, and in the rock mass as 2800 m / s. The square of the ratio of the two was calculated to determine the rock integrity coefficient. The analysis results showed that the rock integrity coefficient in the goaf was high, the rock formations were relatively stable, and it was suitable for underground water storage. Ultimately, this testing process ensured the scientific rationality of the water storage suitability assessment and improved the utilization efficiency of mine water resources.

[0045] In sub-step 2022, the square of the ratio of the longitudinal wave velocity of the rock mass to the longitudinal wave velocity of the rock block obtained from the test is determined as the rock integrity coefficient value of the coal mine goaf, and the fracture characteristic evaluation data is determined based on the determined rock integrity coefficient value and the number of fractures in the coal mine goaf.

[0046] In some embodiments of the present application, in order to further determine the crack characteristics of the coal mine goaf, it is necessary to calculate the rock mass integrity coefficient value to quantify the stability and permeability of the rock mass. Specifically, the rock mass integrity coefficient value can be determined by measuring the propagation speed of the longitudinal wave (P-wave) in the coal mine goaf, obtaining the rock mass longitudinal wave velocity and the rock block longitudinal wave velocity respectively, and calculating the square of their ratio. Specifically, the rock mass integrity coefficient value can be determined by the formula Expression, in which K v represents the integrity coefficient of the rock mass, C p represents the longitudinal wave velocity of the rock mass (m / s), C vRepresents the longitudinal wave velocity of the rock mass (m / s). The rock integrity coefficient describes the structural integrity of the rock mass. A higher value generally indicates a more complete rock mass with fewer fractures and lower permeability, which is conducive to water storage stability. Subsequently, by combining the fracture count data in the coal mine goaf, the final fracture characteristic assessment data is determined, providing a quantitative indicator for subsequent water storage suitability analysis. This allows for a more accurate analysis of the water storage capacity of the goaf rock mass, improving the scientific and reliable nature of water storage suitability assessments.

[0047] In a specific example, when assessing the water storage suitability of a coal mine goaf, seismic detectors were deployed at multiple measuring points to measure the propagation velocity of longitudinal waves in the rock mass and rock blocks. The measurements showed that the longitudinal wave velocity in a certain area was 2500 m / s in the rock mass and 1800 m / s in the rock blocks. Calculations showed that the rock integrity coefficient was 1.93. Combined with data on the number of fractures in the area, the experimenters identified the rock permeability and further assessed the water storage suitability of the goaf. Ultimately, this calculation method improved the accuracy of the goaf water storage capacity assessment and optimized the mining area's water resource utilization planning.

[0048] Step 203: determining the ground stress intensity ratio of the coal mine goaf according to the fracture characteristic evaluation data.

[0049] The method shown in this step has been described in step 103 and will not be repeated here.

[0050] Optionally, step 203 may be implemented by the following steps: In sub-step 2030, the product of the rock mass integrity coefficient value of the coal mine goaf and the uniaxial saturated compressive strength value of the rock in the coal mine goaf and the quotient of the maximum principal stress value of the stratum in the coal mine goaf are determined as the ground stress intensity ratio.

[0051] In some embodiments of the present application, in order to further determine the ground stress intensity ratio of the coal mine goaf, it is necessary to combine the rock integrity coefficient, the uniaxial saturated compressive strength of the rock and the maximum principal stress value of the formation to quantify the stability of the surrounding rock of the goaf. Specifically, the rock integrity coefficient value of the coal mine goaf and the uniaxial saturated compressive strength value of the rock can be obtained based on the test data, and the product of the two can be calculated. Subsequently, the obtained product value is divided by the maximum principal stress value of the formation to determine the final ground stress intensity ratio, which can be specifically obtained by the formula Expression, where s represents the ground stress intensity ratio, R c Indicates the uniaxial saturated compressive strength value (MPa), σ m represents the maximum principal stress value (MPa), and K vRepresents the rock integrity coefficient. The rock integrity coefficient measures the stability of the rock formation. A higher coefficient indicates greater structural integrity, fewer fractures, and suitability for water storage. The saturated uniaxial compressive strength of rock indicates its bearing capacity under load, while the maximum principal stress of the formation reflects the stress state within the goaf. By calculating the in-situ stress intensity ratio, the bearing capacity and deformation risk of the surrounding rock in the goaf can be effectively assessed, providing a scientific basis for subsequent water storage suitability analysis.

[0052] In a specific example, the suitability of water storage in a coal mine goaf was assessed. The rock integrity coefficient was tested using drilled samples, and the results showed a rock integrity coefficient of 0.75. Simultaneously, the experimentally determined uniaxial saturated compressive strength of the rock was 30 MPa, and the maximum principal stress of the formation was 15 MPa, as determined from field data. The calculated in-situ stress intensity ratio was 1.5. The analysis indicated that the rock mass structure in this area was stable, with moderate in-situ stress levels, making it suitable for underground water storage. Ultimately, this assessment method improved the rationality of water storage site selection in the goaf and optimized mine water resource utilization planning.

[0053] Step 204, determine the water storage suitability score of the coal mine goaf based on the determined geological structure distribution data, fracture characteristic evaluation data, coal seam thickness data, hydrological characteristic data, and ground stress intensity ratio, and determine the water storage suitability of the coal mine goaf based on the determined water storage suitability score.

[0054] The method shown in this step has been described in step 104 and will not be repeated here.

[0055] Optionally, in order to ensure that the coal mine goaf has a corresponding rock uniaxial saturated compressive strength value and a formation maximum principal stress value, a water storage suitability score for the coal mine goaf is determined based on the determined geological structure distribution data, fracture characteristic evaluation data, coal seam thickness data, hydrological characteristic data, and ground stress intensity ratio. Step 204 includes the following sub-steps: Sub-step 2041, determining the first geological information score and fracture information score of the coal mine goaf according to the first weight, and determining the second geological information score, coal seam information score, hydrological score and stress intensity score of the coal mine goaf according to the second weight.

[0056] Among them, the first weight is greater than the second weight; the first geological information score value is used to characterize the complexity of the geological structure of the coal mine goaf; the second geological information score value is used to characterize the inclination of the rock layer in the coal mine goaf.

[0057] In some embodiments of the present application, in order to further determine the water storage suitability score of the coal mine goaf, it is necessary to perform weight calculation on multiple geological indicators to comprehensively evaluate the feasibility of the water storage space. Specifically, the first geological information score and the fracture information score of the coal mine goaf can be calculated first based on the first weight. The first geological information score is used to characterize the geological structure complexity of the coal mine goaf. Subsequently, the second geological information score, the coal seam information score, the hydrological score and the stress intensity score of the coal mine goaf are calculated respectively based on the second weight. Among them, the first weight is greater than the second weight to ensure that the influence of the complexity of the geological structure in the suitability assessment is higher. The complexity of the geological structure directly affects the closure of the water storage space, while factors such as rock layer inclination, hydrological characteristics and ground stress level have an indirect impact on stability and permeability. By reasonably allocating weights, the evaluation system is made more scientific to reduce evaluation misjudgments caused by single factor deviations.

[0058] In a specific example, a water storage suitability assessment was conducted at a mining site. Various scoring values were first calculated based on measured geological data. The mining site's geological structure was relatively simple, resulting in a first geological information score of 15 out of 20. The fracture distribution was moderate, resulting in a first geological information score of 15 out of 20. The rock formation inclination was moderate, resulting in a second geological information score of 10 out of 15. The coal seam thickness was ideal, resulting in a first geological information score of 10 out of 15. The hydrological conditions were favorable, resulting in a first hydrological score of 10 out of 15. The in-situ stress intensity ratio was moderate, resulting in a first geological information score of 10 out of 15. Ultimately, these scores were incorporated into the suitability scoring model, providing a foundation for subsequent water storage suitability classification and decision-making. This improved the rational utilization of mine water resources and reduced the impact of assessment errors on water storage site selection.

[0059] As a specific method of dividing the inclination of rock strata, in some specific implementation processes of this application, the rock strata can be divided according to the size of the inclination angle into: nearly horizontal (<5°), gently inclined (5°<inclination<10°), inclined (10°<inclination<45°), and steeply inclined (>45°).

[0060] In sub-step 2042, the sum of the determined first geological information score value, the second geological information score value, the fracture information score value, the coal seam information score value, the hydrological score value, and the stress intensity score value is determined as the water storage suitability score value.

[0061] In some embodiments of the present application, in order to further quantify the water storage suitability of coal mine goafs, it is necessary to integrate the scoring values of multiple geological parameters to ensure the scientificity and operability of the evaluation results. Specifically, the first geological information scoring value, the second geological information scoring value, the fracture information scoring value, the coal seam information scoring value, the hydrological scoring value and the stress intensity scoring value can be obtained first, and each scoring value is added together to determine the final water storage suitability scoring value. The water storage suitability scoring value is calculated based on the weights of different factors, and each scoring value measures the key geological characteristics of the coal mine goaf, among which the geological structure complexity, rock layer inclination, fracture distribution, hydrological conditions and ground stress intensity factors jointly determine the water storage capacity of the goaf. By calculating the water storage suitability scoring value, the rationality of the water storage space site selection in the mining area can be clarified, and the water storage planning strategy can be optimized to improve the utilization efficiency of mine water resources.

[0062] In one specific example, a water storage suitability assessment was conducted for a mining area, and scoring data for the area was obtained, including a primary geological information score of 18, a secondary geological information score of 12, a fracture information score of 10, a coal seam information score of 9, a hydrological score of 7, and a stress intensity score of 6. The calculated water storage suitability score for the area was 62, and based on the scoring range, the mined-out area was classified as "relatively suitable" for water storage. Ultimately, this assessment method ensured the rationality of the site selection for underground water storage in the mining area, improved the storage and recycling capacity of mine water resources, and reduced the geological risks that could result from inappropriate site selection.

[0063] Table 1 shows a geological scoring method for water storage suitability in coal mine goaf areas based on an embodiment of the present application, wherein the scoring values of various geological factors are classified according to different value ranges to evaluate the suitability of water storage space in coal mine goaf areas. The scoring method involves multiple geological parameters, including geological structural complexity, fracture characteristics, coal seam thickness, rock formation inclination, hydrological characteristics, and ground stress levels. Each indicator is assigned a corresponding scoring value according to a different value range. Generally, geological conditions that are more conducive to water storage, such as lower geological structural complexity, fewer fracture distributions, thicker coal seams, and moderate hydrological conditions, will obtain higher scoring values, while geological conditions that are less conducive to water storage will correspond to lower scoring values.

[0064] Table 1 Geological scoring method for suitability of water storage space in coal mine goaf

[0065] The aforementioned scoring system ensures a scientific and standardized water storage suitability assessment, enabling quantitative comparison of water storage suitability across different mining areas using a unified methodology. Ultimately, these scores are aggregated to determine the water storage suitability score for each goaf, which in turn determines the feasibility of water storage space construction. This method not only improves mine water resource utilization but also optimizes water storage space planning, providing technical support for green coal mining and the comprehensive utilization of water resources.

[0066] Optionally, in order to determine the water storage suitability of the coal mine goaf according to the determined water storage suitability score, step 204 includes the following sub-steps: Sub-step 2043 , comparing the preset multiple water storage suitability score intervals with the determined water storage suitability score value to obtain an evaluation index for the complexity of the geological conditions of the coal mine goaf.

[0067] In some embodiments of the present application, in order to further clarify the complexity of the geological conditions in the coal mine goaf, it is necessary to compare the determined water storage suitability score value with a plurality of preset water storage suitability score intervals to obtain a geological condition complexity evaluation index. Specifically, the water storage suitability score value of the coal mine goaf can be first matched with a plurality of preset score intervals, and the geological condition complexity evaluation index of the goaf can be determined. The geological condition complexity evaluation index is used to characterize the stability, degree of fracture development and permeability of the surrounding rock of the goaf, wherein the score interval can be divided according to different levels of water storage suitability of the mining area, such as "simple", "relatively simple", "moderately complex", "relatively complex" and "extremely complex". In this way, different coal mine goafs can be accurately classified, and support can be provided for subsequent water storage suitability assessments, making the evaluation more standardized and improving the utilization efficiency of mine water resources.

[0068] In a specific example, the calculated water storage suitability score for a mined-out area in a mining area is 68. This score can then be compared with a preset water storage suitability score range. According to the set range, this score falls within the "relatively simple" geological condition evaluation range, indicating that the rock structure in the area is relatively stable, with a moderate distribution of fractures, making it suitable for constructing underground water storage space. Ultimately, this comparison process ensures the accuracy of the geological condition classification of the mined-out area, provides a reliable basis for subsequent water storage suitability assessments, and optimizes the water storage site selection strategy for the mining area.

[0069] Sub-step 2044 , determining the water storage suitability assessment result of the coal mine goaf according to the geological condition complexity evaluation index, so that the geological condition complexity evaluation index is negatively correlated with the water storage suitability assessment result.

[0070] In some embodiments of the present application, in order to further determine the water storage suitability assessment results of coal mine goafs, it is necessary to evaluate the geological condition complexity index to ensure that the assessment results are consistent with the actual feasibility of the water storage space. Specifically, the geological condition complexity evaluation index can be first obtained, and according to a preset negative correlation, the index can be used to adjust the water storage suitability assessment results. The geological condition complexity evaluation index is used to measure the rock stability, fracture development and permeability of the goaf, where areas with higher complexity usually mean that the rock mass is highly fractured and permeable, and is not suitable for water storage. In this way, based on the negative correlation, areas with lower geological condition complexity are classified as areas with higher water storage suitability, while areas with higher geological condition complexity are classified as areas with lower water storage suitability. Through this classification and evaluation method, the rationality of water storage site selection can be improved, and the effective use of mine water resources can be ensured.

[0071] In one specific example, a water storage suitability assessment was conducted in a mining area's goaf. Based on a geological complexity evaluation index, the different areas within the mining area were categorized into five categories: "simple," "relatively simple," "moderately complex," "relatively complex," and "extremely complex." Subsequently, through a negative correlation calculation, areas with "simple" geological conditions within the mining area were assessed as "suitable" for water storage, while areas with "extremely complex" geological conditions were assessed as "unsuitable" for water storage. Ultimately, this assessment process ensured the rational planning of water storage space within the mining area, made the water storage suitability assessment more accurate, and improved the mine's ability to store and recycle water resources.

[0072] Table 2 shows a classification method for the geological suitability of water storage space in coal mine goafs based on Table 1, which classifies the complexity of geological conditions for reservoir construction. In the embodiment of this application, this classification method divides the geological complexity of goafs into multiple levels based on the suitability score value to guide the site selection and planning of water storage space.

[0073] Table 2 Classification of complexity of geological conditions for database construction

[0074] The classification standard in Table 2 is based on a comprehensive calculation of multiple parameters such as geological structure, fracture distribution, coal seam thickness, hydrological conditions and ground stress level combined with the parameters in Table 1, and the geological conditions of the goaf are divided into different levels of complexity based on the score values.

[0075] Generally, lower geological complexity corresponds to higher water storage suitability, but higher complexity can make it more difficult to construct water storage space. This classification method allows mining sites to optimize water storage planning based on water storage suitability levels, reduce geological risks, and enhance the sustainable use of mine water resources.

[0076] Step 205: Determine a water storage plan prompt strategy for the coal mine goaf based on the determined water storage suitability of the coal mine goaf.

[0077] In some embodiments of the present application, in order to further optimize the water storage utilization in coal mine goafs, it is necessary to formulate corresponding water storage plan prompting strategies based on the water storage suitability conditions to ensure the effective storage and utilization of water resources. Specifically, the feasibility of water storage in the goaf can be analyzed in combination with the determined water storage suitability score value, and corresponding water storage plans can be formulated, including water storage methods, water retaining structure design, leakage control measures, etc. The water storage plan prompting strategy is based on the suitability grade classification, and different optimization suggestions are provided for coal mine goafs of different suitability grades to ensure the stability and safety of the water storage space and the improvement of water resource utilization. In this way, the systematic management of mine water resources can be achieved, and the long-term sustainable utilization of water storage space can be ensured.

[0078] In a specific example, the water storage suitability score for a particular mining area's goaf was rated "relatively suitable." Based on this score, a water storage strategy was developed, including constructing water retaining structures in key areas to increase water storage capacity, implementing seepage control technologies to reduce water loss, and optimizing well layout to improve water storage efficiency in the goaf. Ultimately, this strategy guided the mine's water storage project planning, making the storage system more scientific and rational, increasing mine water recovery and utilization, and reducing environmental impact and operating costs.

[0079] In summary, in the embodiment of the present application, by first collecting the geological structure distribution data, coal seam thickness data and hydrological characteristic data of the coal mine goaf, and by measuring the propagation speed of the longitudinal wave in the coal mine goaf, the fracture characteristic evaluation data is accurately determined, which provides a more scientific fracture characteristic measurement method than the traditional empirical analysis, effectively quantifies the permeability and stability of the coal rock fracture, and provides a solid data basis for the accurate calculation of the water storage suitability of the goaf while avoiding the one-sided problem caused by considering only a single or a few geological factors in the traditional method, reducing the error caused by human experience judgment, and enhancing the repeatability and reliability of the suitability evaluation; then further based on the fracture characteristic evaluation data By determining the ground stress intensity ratio of the coal mine goaf, a more comprehensive assessment of the structural stability of the water storage space in the goaf is achieved, thereby reducing the risk of deformation or instability of the water storage space in the goaf; finally, combining the geological structure distribution data, fracture characteristic assessment data, coal seam thickness data, hydrological characteristic data and ground stress intensity ratio, the water storage suitability score of the coal mine goaf is determined, achieving a more comprehensive and scientific evaluation of the water storage suitability of the goaf, thereby reducing the uncertainty of the evaluation results, making the water storage suitability evaluation between different mining areas more standardized, and improving the scalability and applicability of the evaluation, thereby providing guidance for optimizing the site selection and construction strategy of the water storage space. This technological breakthrough avoids the unreasonable site selection problem that may be caused by traditional evaluation methods, improves the utilization efficiency of mine water resources, and effectively reduces environmental impact. Therefore, based on the method of the embodiment of the present application, through systematic data collection and analysis, an accurate assessment of the water storage suitability of the goaf is achieved, the uncertainty brought by traditional methods is reduced, and the reliability of the evaluation results is improved, providing more reliable technical support for the sustainable development of the coal mining industry.

[0080] refer to Figure 3 , which shows a coal mine goaf water storage suitability geological evaluation system 30 provided in an embodiment of the present application, including: Collection device 301, test and evaluation device 302, and suitability evaluation device 303; The collection device 301 is used to collect geological structure distribution data, coal seam thickness data and hydrological characteristic data of the coal mine goaf; The test and evaluation device 302 is used to determine the fracture characteristic evaluation data of the coal mine goaf based on the measurement of the propagation velocity of the longitudinal wave when propagating in the coal mine goaf; The suitability assessment device 303 is used to determine the ground stress intensity ratio of the coal mine goaf based on the fracture characteristic assessment data, and to determine the water storage suitability score of the coal mine goaf based on the determined geological structure distribution data, fracture characteristic assessment data, coal seam thickness data, hydrological characteristic data, and the ground stress intensity ratio, and to determine the water storage suitability of the coal mine goaf based on the determined water storage suitability score.

[0081] Optionally, the collection device 301 is specifically used to obtain geological structure distribution data based on the collection of fault distances in the coal mine goaf, and to obtain coal seam thickness data based on the collection of crack height and layer thickness in the coal mine goaf, and to obtain hydrological characteristic data based on the collection of water gushing volume in the coal mine goaf.

[0082] Optionally, the test and evaluation device 302 is specifically used to perform tests based on the longitudinal wave velocity of the rock mass when the longitudinal wave propagates in the coal mine goaf, and the longitudinal wave velocity of the rock blocks when the longitudinal wave propagates in the rock blocks in the coal mine goaf, and determine the square of the ratio of the longitudinal wave velocity of the rock mass to the longitudinal wave velocity of the rock blocks obtained in the test as the rock integrity coefficient value of the coal mine goaf, and determine the fracture characteristic evaluation data based on the determined rock integrity coefficient value and the number of fractures in the coal mine goaf.

[0083] Optionally, the fracture characteristic assessment data includes the rock integrity coefficient value of the coal mine goaf. In the process of determining the ground stress intensity ratio of the coal mine goaf based on the fracture characteristic assessment data, the suitability assessment device 303 is specifically used to determine the ground stress intensity ratio by taking the product of the rock integrity coefficient value of the coal mine goaf and the uniaxial saturated compressive strength value of the rock in the coal mine goaf and the quotient of the maximum principal stress value of the stratum in the coal mine goaf as the ground stress intensity ratio.

[0084] Optionally, the coal mine goaf has a corresponding rock uniaxial saturated compressive strength value and a maximum principal stress value of the stratum. The suitability assessment device 303 is used to determine the water storage suitability score value of the coal mine goaf based on the determined geological structure distribution data, fracture characteristic assessment data, coal seam thickness data, hydrological characteristic data, and ground stress intensity ratio. It is specifically used to determine the first geological information score value and the fracture information score value of the coal mine goaf according to the first weight, and determine the second geological information score value, coal seam information score value, hydrological score value and stress intensity score value of the coal mine goaf according to the second weight, and determine the sum of the determined first geological information score value, second geological information score value, fracture information score value, coal seam information score value, hydrological score value and stress intensity score value as the water storage suitability score value; the first weight is greater than the second weight; the first geological information score value is used to characterize the complexity of the geological structure of the coal mine goaf; the second geological information score value is used to characterize the inclination of the rock strata in the coal mine goaf.

[0085] Optionally, in the process of determining the water storage suitability of the coal mine goaf based on the determined water storage suitability score value, the suitability assessment device 303 is specifically used to compare multiple preset water storage suitability score intervals with the determined water storage suitability score value to obtain an evaluation index of the complexity of geological conditions in the coal mine goaf, and determine the water storage suitability assessment result of the coal mine goaf based on the evaluation index of the complexity of geological conditions, so that the evaluation index of the complexity of geological conditions is negatively correlated with the water storage suitability assessment result.

[0086] Optionally, the coal mine goaf area water storage suitability geological evaluation system 30 further includes a strategy prompt module; The strategy prompt module is used to determine the water storage plan prompt strategy for the coal mine goaf according to the determined water storage suitability of the coal mine goaf.

[0087] In summary, in the embodiment of the present application, by first collecting the geological structure distribution data, coal seam thickness data and hydrological characteristic data of the coal mine goaf, and by measuring the propagation speed of the longitudinal wave in the coal mine goaf, the fracture characteristic evaluation data is accurately determined, which provides a more scientific fracture characteristic measurement method than the traditional empirical analysis, effectively quantifies the permeability and stability of the coal rock fracture, and provides a solid data basis for the accurate calculation of the water storage suitability of the goaf while avoiding the one-sided problem caused by considering only a single or a few geological factors in the traditional method, reducing the error caused by human experience judgment, and enhancing the repeatability and reliability of the suitability evaluation; then further based on the fracture characteristic evaluation data By determining the ground stress intensity ratio of the coal mine goaf, a more comprehensive assessment of the structural stability of the water storage space in the goaf is achieved, thereby reducing the risk of deformation or instability of the water storage space in the goaf; finally, combining the geological structure distribution data, fracture characteristic assessment data, coal seam thickness data, hydrological characteristic data and ground stress intensity ratio, the water storage suitability score of the coal mine goaf is determined, achieving a more comprehensive and scientific evaluation of the water storage suitability of the goaf, thereby reducing the uncertainty of the evaluation results, making the water storage suitability evaluation between different mining areas more standardized, and improving the scalability and applicability of the evaluation, thereby providing guidance for optimizing the site selection and construction strategy of the water storage space. This technological breakthrough avoids the unreasonable site selection problem that may be caused by traditional evaluation methods, improves the utilization efficiency of mine water resources, and effectively reduces environmental impact. Therefore, based on the method of the embodiment of the present application, through systematic data collection and analysis, an accurate assessment of the water storage suitability of the goaf is achieved, the uncertainty brought by traditional methods is reduced, and the reliability of the evaluation results is improved, providing more reliable technical support for the sustainable development of the coal mining industry.

[0088] Reference Figure 4, electronic device 500 may include one or more of the following components: a processing component 502 , a memory 504 , a power component 506 , a multimedia component 508 , an audio component 510 , an input / output (I / O) interface 512 , a sensor component 514 , and a communication component 516 .

[0089] The processing component 502 generally controls the overall operation of the electronic device 500, such as operations associated with display, phone calls, data communications, camera operation, and recording operations. The processing component 502 may include one or more processors 520 to execute instructions to perform all or part of the steps of the above-described method. In addition, the processing component 502 may include one or more modules to facilitate interaction between the processing component 502 and other components. For example, the processing component 502 may include a multimedia module to facilitate interaction between the multimedia component 508 and the processing component 502.

[0090] The memory 504 is used to store various types of data to support operations on the electronic device 500. Examples of such data include instructions for any application or method operating on the electronic device 500, contact data, phone book data, messages, pictures, multimedia, etc. The memory 504 can be implemented by any type of volatile or non-volatile storage device, or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk, or optical disk.

[0091] The power supply assembly 506 provides power to the various components of the electronic device 500. The power supply assembly 506 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power to the electronic device 500.

[0092] The multimedia component 508 includes an interface that provides an output interface between the electronic device 500 and the user. In some embodiments, the interface may include a liquid crystal display (LCD) and a touch panel (TP). If the interface includes a touch panel, the interface may be implemented as a touch screen to receive input signals from the user. The touch panel includes one or more touch sensors to sense touches, slides, and gestures on the touch panel. The touch sensors can not only sense the demarcation of a touch or slide action, but also detect the duration and pressure associated with the touch or slide action. In some embodiments, the multimedia component 508 includes a front-facing camera and / or a rear-facing camera. When the electronic device 500 is in an operating mode, such as a capture mode or a multimedia mode, the front-facing camera and / or the rear-facing camera can receive external multimedia data. Each front-facing camera and the rear-facing camera can have a fixed optical lens system or have focal length and optical zoom capabilities.

[0093] The audio component 510 is used to output and / or input audio signals. For example, the audio component 510 includes a microphone (MIC) that receives external audio signals when the electronic device 500 is in an operating mode, such as a call mode, a recording mode, or a voice recognition mode. The received audio signals may be further stored in the memory 504 or transmitted via the communication component 516. In some embodiments, the audio component 510 also includes a speaker for outputting audio signals.

[0094] The input / output I / O interface 512 provides an interface between the processing component 502 and peripheral interface modules, such as a keyboard, a click wheel, buttons, etc. These buttons may include but are not limited to: a home button, a volume button, a start button, and a lock button.

[0095] The sensor assembly 514 includes one or more sensors for providing various aspects of status assessment for the electronic device 500. For example, the sensor assembly 514 can detect the open / closed state of the electronic device 500, the relative positioning of components, such as the display and keypad of the electronic device 500. The sensor assembly 514 can also detect changes in the position of the electronic device 500 or a component of the electronic device 500, the presence or absence of user contact with the electronic device 500, the orientation or acceleration / deceleration of the electronic device 500, and temperature changes of the electronic device 500. The sensor assembly 514 may include a proximity sensor configured to detect the presence of nearby objects without any physical contact. The sensor assembly 514 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 514 may also include an accelerometer, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.

[0096] The communication component 516 is used to facilitate wired or wireless communication between the electronic device 500 and other devices. The electronic device 500 can access a wireless network based on a communication standard, such as WiFi, a carrier network (such as 2G, 3G, 4G, or 5G), or a combination thereof. In an exemplary embodiment, the communication component 516 receives broadcast signals or broadcast-related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 516 also includes a near-field communication (NFC) module to facilitate short-range communication. For example, the NFC module can be implemented based on radio frequency identification (RFID) technology, infrared data association (IrDA) technology, ultra-wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.

[0097] In an exemplary embodiment, the electronic device 500 may be implemented by one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components to implement the methods provided in the embodiments of the present application.

[0098] In an exemplary embodiment, a non-transitory computer-readable storage medium including instructions is also provided, such as a memory 504 including instructions, which can be executed by the processor 520 of the electronic device 500 to perform the above method. For example, the non-transitory storage medium can be a ROM, a random access memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, etc.

[0099] Figure 5 FIG2 is a block diagram of an electronic device 600 according to another embodiment of the present invention. For example, the electronic device 600 may be provided as a server.

[0100] Reference Figure 5 The electronic device 600 includes a processing component 622, which further includes one or more processors, and a memory resource represented by a memory 632 for storing instructions executable by the processing component 622, such as an application. The application stored in the memory 632 may include one or more modules, each corresponding to a set of instructions. In addition, the processing component 622 is configured to execute the instructions to perform the method provided in the embodiments of the present application.

[0101] The electronic device 600 may further include a power supply component 626 configured to perform power management of the electronic device 600, a wired or wireless network interface 650 configured to connect the electronic device 600 to a network, and an input / output (I / O) interface 658. The electronic device 600 may operate based on an operating system stored in the memory 632, such as Windows Server™, Mac OS X™, Unix™, Linux™, FreeBSD™, or the like.

[0102] It should be noted that, for the sake of simplicity, the method embodiments of the present application are described as a series of action combinations. However, those skilled in the art should be aware that the embodiments of the present application are not limited by the order of the actions described, because according to the embodiments of the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions involved are not necessarily required by the embodiments of the present application.

[0103] Those skilled in the art will readily appreciate other embodiments of the present application after considering the specification and practicing the application disclosed herein. This application is intended to cover any variations, uses, or adaptations of the present application that follow the general principles of the present application and include common knowledge or customary techniques in the art not disclosed herein. The description and examples are to be considered as exemplary only, and the true scope and spirit of the present application are indicated by the following claims.

[0104] It should be understood that the present application is not limited to the exact structures described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present application is limited only by the appended claims.

Claims

1. A method for geological evaluation of water storage suitability in coal mine goaf, characterized in that: include: Collect geological structure distribution data, coal seam thickness data and hydrological characteristic data of coal mine goaf areas; Determining fracture characteristic evaluation data of the coal mine goaf based on the measurement of the propagation velocity of the longitudinal wave when propagating in the coal mine goaf; determining a ground stress intensity ratio of the coal mine goaf according to the fracture characteristic evaluation data; The water storage suitability score of the coal mine goaf is determined based on the determined geological structure distribution data, the fracture characteristic evaluation data, the coal seam thickness data, the hydrological characteristic data, and the ground stress intensity ratio, and the water storage suitability of the coal mine goaf is determined based on the determined water storage suitability score.

2. The method for geological evaluation of water storage suitability in coal mine goaf according to claim 1, wherein: The collection of geological structure distribution data, coal seam thickness data and hydrological characteristic data of the coal mine goaf area includes: Obtaining the geological structure distribution data based on the collection of fault throws in the coal mine goaf; Obtaining the coal seam thickness data based on the collection of crack height and layer thickness of the coal mine goaf; The hydrological characteristic data is obtained based on the collection of water inflow from the coal mine goaf.

3. The method for geological evaluation of water storage suitability in coal mine goaf according to claim 1, wherein: Determining the fracture characteristic evaluation data of the coal mine goaf based on the measurement of the propagation velocity of the longitudinal wave when propagating in the coal mine goaf includes: Testing is performed based on the longitudinal wave velocity of the rock mass when the longitudinal wave propagates in the coal mine goaf, and the longitudinal wave velocity of the rock block when the longitudinal wave propagates in the rock block in the coal mine goaf; The square of the ratio of the longitudinal wave velocity of the rock mass to the longitudinal wave velocity of the rock block obtained by the test is determined as the rock integrity coefficient value of the coal mine goaf, and the fracture characteristic evaluation data is determined based on the determined rock integrity coefficient value and the number of fractures in the coal mine goaf.

4. The method for geological evaluation of water storage suitability in coal mine goaf according to claim 1, wherein: The fracture characteristic evaluation data includes the rock mass integrity coefficient value of the coal mine goaf area, and determining the ground stress intensity ratio of the coal mine goaf area according to the fracture characteristic evaluation data includes: The in-situ stress intensity ratio is determined by multiplying the product of the rock integrity coefficient value of the coal mine goaf and the uniaxial saturated compressive strength value of the rock in the coal mine goaf by the maximum principal stress value of the stratum in the coal mine goaf.

5. The method for geological evaluation of water storage suitability in coal mine goaf according to claim 1, wherein: The coal mine goaf has a corresponding rock uniaxial saturated compressive strength value and a stratum maximum principal stress value, and the water storage suitability score value of the coal mine goaf is determined based on the determined geological structure distribution data, the fracture characteristic evaluation data, the coal seam thickness data, the hydrological characteristic data, and the ground stress intensity ratio, including: Determining a first geological information score and a fracture information score for the coal mine goaf according to a first weight, and determining a second geological information score, a coal seam information score, a hydrological score, and a stress intensity score for the coal mine goaf according to a second weight; the first weight is greater than the second weight; the first geological information score is used to characterize the complexity of the geological structure of the coal mine goaf; and the second geological information score is used to characterize the inclination of the rock strata in the coal mine goaf; The sum of the determined first geological information score value, the second geological information score value, the fracture information score value, the coal seam information score value, the hydrological score value and the stress intensity score value is determined as the water storage suitability score value.

6. The method for geological evaluation of water storage suitability in coal mine goaf according to claim 1, wherein: Determining the water storage suitability of the coal mine goaf according to the determined water storage suitability score value includes: Comparing a plurality of preset water storage suitability score intervals with the determined water storage suitability score value to obtain an evaluation index of the complexity of geological conditions of the coal mine goaf; According to the geological condition complexity evaluation index, the water storage suitability evaluation result of the coal mine goaf is determined, so that the geological condition complexity evaluation index is negatively correlated with the water storage suitability evaluation result.

7. The method for geological evaluation of water storage suitability in coal mine goaf according to claim 1, wherein: The method for geological evaluation of water storage suitability in coal mine goaf areas also includes: According to the determined water storage suitability of the coal mine goaf, a water storage plan prompt strategy for the coal mine goaf is determined.

8. A geological evaluation system for water storage suitability in coal mine goaf, characterized in that: include: Collection devices, test and evaluation devices, and suitability assessment devices; The acquisition device is used to collect geological structure distribution data, coal seam thickness data and hydrological characteristic data of the coal mine goaf; The test and evaluation device is used to determine the fracture characteristic evaluation data of the coal mine goaf based on the measurement of the propagation velocity of the longitudinal wave when propagating in the coal mine goaf; The suitability assessment device is used to determine the ground stress intensity ratio of the coal mine goaf based on the fracture characteristic assessment data, and determine the water storage suitability score of the coal mine goaf based on the determined geological structure distribution data, the fracture characteristic assessment data, the coal seam thickness data, the hydrological characteristic data, and the ground stress intensity ratio, and determine the water storage suitability of the coal mine goaf based on the determined water storage suitability score.

9. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method for geological evaluation of water storage suitability in coal mine goaf areas according to any one of claims 1 to 7 is implemented.

10. An electronic device, characterized in that: The method comprises a processor, a memory and a computer program stored in the memory and executable on the processor, wherein the computer program, when executed by the processor, implements the steps of the method for geological evaluation of water storage suitability in coal mine goafs as described in any one of claims 1 to 7.

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