Control method and device for mining overlying strata, medium and electronic equipment

Abstract

The invention belongs to the technical field of coal mining, and relates to a control method and device for mining overlying strata, a medium and electronic equipment. The method comprises the following steps: acquiring first data of factors influencing a working face, and calculating the first data to obtain a target score of the working face; according to the target score, determining an initial damage grade of mining overlying strata of the working face, and obtaining second data of the mining overlying strata; and according to the second data and the initial damage grade, determining a target damage grade of the mining overlying strata, and according to the target damage grade, determining a control method of the mining overlying strata for implementation. According to the method and the device, multi-factor data is provided for determining the damage level in a rich, comprehensive and targeted manner, the implementation mode is convenient and rapid, and the accuracy is high. Furthermore, the final damage grade is determined by adopting a quantitative and qualitative combined method, and the method is accurate, reliable and persuasive. Furthermore, a targeted control method is provided for different target damage levels, and the application value is extremely high.

Description

Technical Field

[0001] This disclosure relates to the field of coal mining technology, specifically to a method for controlling mining-induced overburden, a control device for mining-induced overburden, a non-transitory computer-readable storage medium, and electronic equipment. Background Technology

[0002] Mining-induced overburden refers to the phenomenon and process in coal mining where the mining of underground coal causes the movement, deformation, and failure of the overlying strata. This process involves the unloading, expansion, movement, and deformation of the strata, affecting the stability and safety of the surface. Research on mining-induced overburden involves multiple disciplines, including mechanics, geology, and engineering, aiming to understand and predict overburden behavior to ensure the safety and efficiency of mining operations.

[0003] While related technologies can classify deep-buried overburden types by considering factors such as overburden structure, coal seam depth, and bedrock thickness to maintain surrounding rock stability, this approach is only applicable to the specific conditions of deep-buried mining areas and lacks universality and broad applicability. Furthermore, it can only be controlled through grouting methods and cannot address different degrees of overburden damage. On the other hand, although classification methods for loose overburden structures under thick loose layers can effectively identify the structure of loose overburden, they cannot consider the degree of overburden damage and do not take into account factors such as bedrock damage and ground fissures when classifying loose overburden structures, resulting in insufficient classification criteria and inaccurate results. Summary of the Invention

[0004] To overcome the problems existing in related technologies, this disclosure provides a method for controlling mining-induced overburden, a control device for mining-induced overburden, a non-transitory computer-readable storage medium, and an electronic device.

[0005] According to a first aspect of the present disclosure, a method for controlling mining-induced overburden is provided, the method comprising:

[0006] Obtain first data on the factors affecting the working face, and calculate the target score of the working face based on the first data;

[0007] The initial damage level of the mining-induced overburden of the working face is determined based on the target score, and the second data of the mining-induced overburden is obtained.

[0008] The target damage level of the mining-induced overburden is determined based on the second data and the initial damage level, and the control method for the mining-induced overburden is determined and implemented based on the target damage level.

[0009] Optionally, calculating the target score of the working face from the first data includes:

[0010] The initial feature values ​​of the factors are calculated from the first data, and the target feature values ​​are obtained by filtering the initial feature values.

[0011] The target score of the working surface is obtained by calculating the target feature value.

[0012] Optionally, the step of filtering the initial feature values ​​to obtain the target feature values ​​includes:

[0013] The initial feature values ​​are accumulated to obtain cumulative data, and the cumulative data is compared with the corresponding data threshold to obtain a comparison result.

[0014] When the comparison result is that the cumulative data is greater than the data threshold, the initial feature value corresponding to the cumulative data is determined as the target feature value.

[0015] Optionally, determining the initial damage level of the mining overburden of the working face based on the target score includes:

[0016] Obtain the score range corresponding to the target score;

[0017] The initial damage level of the mining overburden of the working face is obtained by dividing the target score according to the score range.

[0018] Optionally, the second data includes: feature data and environmental data, wherein the feature data includes data characterizing the surface characteristics of overburden fissures, data characterizing the characteristics of flexural subsidence zones, and data characterizing the characteristics of ground fissures, and the environmental data is used to characterize the vulnerability of the ecological environment.

[0019] Optionally, determining the target damage level of the mining-induced overburden based on the second data and the initial damage level includes:

[0020] Establish the correspondence between the initial damage level and the characteristic data;

[0021] The target damage level of the mining-induced overburden is determined based on the correspondence and the environmental data.

[0022] Optionally, the method for controlling the mining-induced overburden based on the target damage level includes:

[0023] When multiple control methods for mining-induced overburden are determined based on the target damage level, one of the multiple control methods shall be selected for implementation.

[0024] According to a second aspect of the present disclosure, a control device for mining overburden is provided, comprising:

[0025] The data acquisition module is configured to acquire first data of factors affecting the working face, and calculate the target score of the working face based on the first data;

[0026] The grade determination module is configured to determine the initial damage grade of the mining-induced overburden of the working face based on the target score, and to acquire the second data of the mining-induced overburden;

[0027] The control implementation module is configured to determine the target damage level of the mining-induced overburden based on the second data and the initial damage level, and to determine and implement the control method for the mining-induced overburden based on the target damage level.

[0028] According to a third aspect of the present disclosure, a non-transitory computer-readable storage medium is provided, having stored thereon computer program instructions that, when executed by a processor, implement the steps of the method described in any of the first aspects of the present disclosure.

[0029] According to a fourth aspect of the present disclosure, an electronic device is provided, comprising:

[0030] processor;

[0031] Memory used to store processor-executable instructions;

[0032] The processor is configured to execute the executable instructions to implement the steps of any of the methods described in the first aspect of this disclosure.

[0033] The technical solutions provided by the embodiments of this disclosure may include the following beneficial effects:

[0034] In the exemplary embodiments of this disclosure, the method and apparatus calculate the corresponding target score based on first data of factors affecting the working face, providing rich, comprehensive, and targeted data from multiple perspectives for determining the damage level. This method is convenient, quick, and highly accurate. Furthermore, the target damage level of the mining-induced overburden is determined based on the initial damage level and second data. A combination of quantitative and qualitative methods is used to determine the final damage level, ensuring accuracy, reliability, and strong persuasiveness. Even further, the control method for determining the mining-induced overburden based on the target damage level is implemented, providing targeted control methods for different target damage levels. This has extremely high application value, helping to reduce surface damage under different conditions, laying a theoretical foundation for surface ecological zoning management, and pointing the way for the research and development of surface ecological environment management technologies. Its application in working faces with specific geological conditions is of great value.

[0035] Other features and advantages of this disclosure will be described in detail in the following detailed description section.

[0036] It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and are not intended to limit this disclosure. Attached Figure Description

[0037] The accompanying drawings are provided to further illustrate the present disclosure and form part of the specification. They are used together with the following detailed description to explain the present disclosure, but do not constitute a limitation thereof. In the drawings:

[0038] Figure 1 The schematic diagram illustrates a flow chart of a method for controlling overburden mining in an exemplary embodiment of the present disclosure;

[0039] Figure 2 The schematic diagram illustrates the interface diagram of factors affecting the working surface and the first data in an exemplary embodiment of this disclosure;

[0040] Figure 3 The schematic diagram illustrates a flowchart of a method for calculating first data in an exemplary embodiment of the present disclosure;

[0041] Figure 4 The schematic diagram illustrates a flowchart of a method for filtering initial feature values ​​in an exemplary embodiment of this disclosure;

[0042] Figure 5 The illustration schematically shows a flowchart of a method for determining the initial damage level of mining overburden in an exemplary embodiment of the present disclosure;

[0043] Figure 6 This schematically illustrates an interface diagram showing the determination of the initial damage level of the mining overburden according to a score range in an exemplary embodiment of this disclosure;

[0044] Figure 7 The schematic diagram illustrates a flowchart of a method for determining the damage level of a target in an exemplary embodiment of this disclosure;

[0045] Figure 8 This schematic diagram illustrates the interface between the initial damage level and feature data in an exemplary embodiment of this disclosure;

[0046] Figure 9 The schematic diagram illustrates a flow chart of a method for controlling overburden caused by mining in an application scenario of an exemplary embodiment of this disclosure;

[0047] Figure 10 This schematic diagram illustrates a simulated interface of the overburden damage level of the 12401 working face of the Shangwan Coal Mine in an exemplary embodiment of this disclosure.

[0048] Figure 11 The illustration shows a comparative diagram of the field-measured grouting effect in an exemplary embodiment of the present disclosure;

[0049] Figure 12 This schematic diagram illustrates the structure of a control device for mining overburden in an exemplary embodiment of the present disclosure;

[0050] Figure 13 An electronic device for implementing a control method for mining overburden in an exemplary embodiment of the present disclosure is illustrated schematically.

[0051] Figure 14 This schematically illustrates another electronic device for implementing a control method for mining overburden in an exemplary embodiment of the present disclosure. Detailed Implementation

[0052] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numerals in different drawings denote the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this disclosure. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this disclosure as detailed in the appended claims.

[0053] It should be noted that all actions involving the acquisition of signals, information, or data in this disclosure are carried out in accordance with the relevant data protection laws and policies of the country where the location is situated, and with the authorization granted by the owner of the relevant device.

[0054] Mining-induced overburden refers to the phenomenon and process in coal mining where the mining of underground coal causes the movement, deformation, and failure of the overlying strata. This process involves the unloading, expansion, movement, and deformation of the strata, affecting the stability and safety of the surface. Research on mining-induced overburden involves multiple disciplines, including mechanics, geology, and engineering, aiming to understand and predict overburden behavior to ensure the safety and efficiency of mining operations.

[0055] Among the related technologies, an evaluation standard for the overburden type of deep-buried mining areas and a design method for thickening and remodeling thin bedrock are provided.

[0056] First, based on the principle of stress arch formation, the critical thickness at which a stable stress arch can be formed in the bedrock is determined, and then an evaluation standard for overburden types in deep-buried mining areas is established, filling the gap in the evaluation standard for overburden structure types under the conditions of deep burial, thick loose layers, and significant changes in bedrock thickness.

[0057] Then, based on the above standards, a bedrock thickening and modification design scheme is proposed for ultra-thin bedrock and thin bedrock strata conditions, including the length and thickness of the thickening and modification design area.

[0058] Finally, a design method for thickening and modifying thin bedrock was proposed, along with a multi-level inclined top grouting scheme and construction method. Parameters such as borehole layout and grouting materials were designed, enabling proactive control of mining disasters and avoiding disasters caused by the previous passive mining control measures.

[0059] This method classifies deep-buried overburden types based on factors such as overburden structure, coal seam burial depth, and bedrock thickness, and ultimately maintains surrounding rock stability by modifying the bedrock thickness.

[0060] Although this method can classify overburden, it is only applicable to the special conditions of deep-buried mining areas and lacks universality and broad applicability. Furthermore, it does not quantitatively characterize the degree of overburden damage, and its control methods are relatively simple, proposing only one grouting method for different degrees of overburden damage.

[0061] In related technologies, another classification method for mining-induced loose layer structures under thick loose layers has been proposed, including the following steps: S1. Determine the thickness of the loose layer in the mining area, the minimum arch height of the loose layer arch bearing structure that can be formed in the loose layer, the ultimate arch height of the loose layer arch bearing structure, and the thickness of the loose layer arch bearing structure when the key bedrock layer first fractures, based on the initial structure of the original rock in the mining area and mining factors; S2. Determine the category of mining-induced loose layer structures in the mining area based on the information obtained in step S1.

[0062] This method can provide the formation conditions and failure evolution process of loose layer arch bearing structures under different loose layer thicknesses, and provides a comprehensive and systematic classification method for mining-induced loose layer structures under different loose layer thicknesses. It has certain guiding significance for in-depth research on the migration law of mining overburden and the development mechanism of ground fissures under thick loose layer conditions.

[0063] Although the classification method for loose layer structures under thick loose layers can, to some extent, identify the structure of the overburden, it does not consider the degree of damage to the overburden. Furthermore, this method only classifies loose layer structures and does not take into account factors such as the degree of bedrock damage and ground fissures.

[0064] This disclosure provides a method for controlling mining-induced overburden. Figure 1 This is a schematic flowchart illustrating a method for controlling overburden mining according to an exemplary embodiment, such as... Figure 1 As shown, the method may include at least the following steps:

[0065] Step S110. Obtain the first data of the factors affecting the working face, and calculate the target score of the working face based on the first data.

[0066] Step S120. Determine the initial damage level of the mining-induced overburden of the working face based on the target score, and obtain the second data of the mining-induced overburden.

[0067] Step S130. Determine the target damage level of the mining-induced overburden based on the second data and the initial damage level, and implement the control method for the mining-induced overburden based on the target damage level.

[0068] In the exemplary embodiments of this disclosure, a corresponding target score is calculated based on first data of factors affecting the working face, providing rich, comprehensive, and targeted data from multiple perspectives for determining the damage level. This method is convenient, quick, and highly accurate. Furthermore, the target damage level of the mining-induced overburden is determined based on the initial damage level and second data. A combination of quantitative and qualitative methods is used to determine the final damage level, ensuring accuracy, reliability, and strong persuasiveness. Even further, the control method for the mining-induced overburden is determined and implemented based on the target damage level. This provides targeted control methods for different target damage levels, demonstrating high application value. It is beneficial for mitigating surface damage under different conditions, laying a theoretical foundation for surface ecological zoning management, and pointing the way for the research and development of surface ecological environment management technologies. Its application in working faces with specific geological conditions is of great value.

[0069] The following section details each step of the method for controlling overburden caused by mining.

[0070] In step S110, the first data of the factors affecting the working face are obtained, and the target score of the working face is calculated based on the first data.

[0071] In an exemplary embodiment of this disclosure, the working face may be a coal mining working face.

[0072] Figure 2 A schematic diagram of the interface showing the factors affecting the working surface and the first data is shown, such as... Figure 2 As shown, 25 working faces under different mining conditions were selected, namely, Burtai 22103-1, Yangjiacun 222201, Daliuta 52304, Daliuta 22201, ..., Daliuta 52307.

[0073] There are nine factors that affect the working face: working face width, working face advance length, mining height, advance speed, burial depth, width-to-depth ratio, loose layer thickness, sand-base ratio, and overburden hardness coefficient.

[0074] In an optional embodiment, Figure 3 A flowchart illustrating the method for calculating the first data is shown, such as... Figure 3 As shown, the method may include at least the following steps: in step S310, the initial feature values ​​of the factors are calculated from the first data, and the target feature values ​​are obtained by filtering the initial feature values.

[0075] Specifically, the calculation of the first data can be implemented through a DSP (Digital Signal Processing) data processing system, or it can be calculated in other ways; this exemplary embodiment does not impose any special limitations on this. This initial characteristic value reflects its degree of influence on the nine factors; the larger the characteristic value, the greater the degree of influence.

[0076] Among them, the initial characteristic value corresponding to the working face width is 3.76, the initial characteristic value corresponding to the working face advance length is 2.05, the initial characteristic value corresponding to the mining height is 1.40, the initial characteristic value corresponding to the advance speed is 0.80, the initial characteristic value corresponding to the burial depth is 0.62, the initial characteristic value corresponding to the width-to-depth ratio is 0.29, the initial characteristic value corresponding to the loose layer thickness is 0.05, the initial characteristic value corresponding to the sand-base ratio is 0.03, and the initial characteristic value corresponding to the overburden hardness coefficient is 0.01.

[0077] In an optional embodiment, Figure 4 A flowchart illustrating the method for selecting initial feature values ​​is shown, as follows: Figure 4 As shown, the method may include at least the following steps: in step S410, the initial feature values ​​are accumulated to obtain cumulative data, and the cumulative data is compared with the corresponding data threshold to obtain a comparison result.

[0078] Calculate the percentage corresponding to each characteristic value based on the initial characteristic value, and sum the percentages according to the order of factors affecting the working surface corresponding to the initial characteristic value to obtain the cumulative percentage as the cumulative data.

[0079] Table 1 shows the initial characteristic values, percentages, and cumulative percentages corresponding to the nine factors affecting the working face:

[0080]

[0081] Table 1

[0082] The data threshold corresponding to the cumulative data can be 90%, or it can be set according to the actual situation and needs. This exemplary embodiment does not impose any special limitations on this.

[0083] Furthermore, the cumulative data is compared with the data threshold to obtain the comparison results.

[0084] In step S420, when the comparison result is that the cumulative data is greater than the data threshold, the initial feature value corresponding to the cumulative data is determined as the target feature value.

[0085] When the data threshold is 90%, the cumulative data of the top 5 factors affecting the working face in Table 1 reaches 95.857%, indicating that the information contained in the top 5 factors affecting the working face reaches 95.857%, which exceeds the data threshold of 90%. Therefore, the initial characteristic values ​​of the top 5 factors affecting the working face can be determined as the target characteristic values.

[0086] When selecting target feature values ​​through data thresholds, it is considered that a cumulative percentage exceeding 90% is already very accurate. On the other hand, considering that the more factors there are, the more complicated the data analysis becomes, which may affect the evaluation results, it is better to determine the initial feature values ​​of the first 5 factors affecting the working face as target feature values ​​for subsequent characterization of the damage to the mining overburden.

[0087] In step S320, the target feature value is calculated to obtain the target score of the working surface.

[0088] After determining the target feature values, the target score of the working surface can be calculated from the target feature values. The calculation of the target feature values ​​can be implemented using a DSP data processing system, or it can be performed in other ways; this exemplary embodiment does not impose any special limitations on this method.

[0089] Table 2 shows the target scores calculated for the target feature values:

[0090]

[0091] Table 2

[0092] The target score includes two parts: a comprehensive score and / or a ranking.

[0093] In step S120, the initial damage level of the mining-induced overburden of the working face is determined based on the target score, and the second data of the mining-induced overburden is obtained.

[0094] In an exemplary embodiment of this disclosure, after calculating the target score based on the first data, the initial damage level of the mining overburden of the working face can be determined based on the target score.

[0095] In an optional embodiment, Figure 5 A flowchart illustrating the method for determining the initial damage level of mining-induced overburden is shown, such as... Figure 5 As shown, the method may include at least the following steps: in step S510, obtaining the score range corresponding to the target score.

[0096] When the target score is the comprehensive score, the corresponding score range can be one of four: >0.5, 0 to 0.5, -0.5 to 0, and <-0.5. Other score ranges can also be set according to actual conditions and needs. This exemplary embodiment does not impose any special limitations on this.

[0097] In step S520, the target score is divided according to the score range to obtain the initial damage level of the mining overburden of the working face.

[0098] Figure 6 A schematic diagram of the interface for determining the initial damage level of the mining-induced overburden according to the score range is shown, such as... Figure 6 As shown, the initial damage level of the overburden caused by mining can be divided into four levels based on the score range: Level I (extremely high), Level II (high), Level III (medium), and Level IV (low), corresponding to extremely high, high, medium, and low degrees of damage, respectively. The dots represent the working face number. Working face numbers 4, 5, 18, 22, and 24 belong to Level I, indicating extremely high damage to the overburden caused by mining; working face numbers 1, 2, 13, 17, 20, 21, and 25 belong to Level II, indicating high damage to the overburden caused by mining; working face numbers 3, 6, 7, 8, 11, 12, 14, and 16 belong to Level III, indicating medium damage to the overburden caused by mining; and working face numbers 9, 10, 15, 19, and 23 belong to Level IV, indicating low damage to the overburden caused by mining.

[0099] To further subdivide the initial damage level of the mining-induced overburden in the working face, second data on the mining-induced overburden can be obtained.

[0100] In an optional embodiment, the second data includes: feature data and environmental data. The feature data includes data characterizing the characteristics of overburden fissures penetrating the surface, data characterizing the characteristics of flexural subsidence zones, and data characterizing the characteristics of ground fissures. The environmental data is used to characterize the vulnerability of the ecological environment.

[0101] Among them, the data characterizing the surface characteristics of overburden fissures can be either overburden fissures that penetrate the surface or overburden fissures that do not penetrate the surface; the data characterizing the characteristics of flexural subsidence zones can be either flexural subsidence or flexural subsidence; and the data characterizing the characteristics of ground fissures can be either ground fissures or ground fissures.

[0102] In step S130, the target damage level of the mining-induced overburden is determined based on the second data and the initial damage level, and the control method for the mining-induced overburden is determined and implemented based on the target damage level.

[0103] In an exemplary embodiment of this disclosure, after determining the initial damage level and second data of the mining-induced overburden, the target damage level of the mining-induced overburden can be determined based on the initial damage level and the second data.

[0104] In an optional embodiment, Figure 7 A flowchart illustrating the method for determining the damage level of a target is shown, such as... Figure 7 As shown, the method may include at least the following steps: In step S710, a correspondence is established between the initial damage level and the characteristic data.

[0105] The correspondence between the initial damage level and the characteristic data can be shown through a level diagram.

[0106] Figure 8 A schematic diagram of the interface between the initial damage level and characteristic data is shown, such as... Figure 8 As shown, the initial damage level is as follows: Level I: Overburden fissures penetrate the surface, with no tortuous subsidence zones, corresponding to extremely high overburden damage. Level II: Overburden fissures penetrate the surface, with tortuous subsidence zones, corresponding to high overburden damage. Level III: Overburden fissures do not penetrate the surface, with tortuous subsidence zones, but due to large overburden subsidence, surface fissures appear, corresponding to medium overburden damage. Level IV: Overburden fissures do not penetrate the surface, with tortuous subsidence zones, but no surface fissures appear, corresponding to low overburden damage.

[0107] In step S720, the target damage level of the mining-induced overburden is determined based on the correspondence and environmental data.

[0108] The correspondence between the established initial damage levels and characteristic data can be further subdivided based on environmental data. Specifically, each initial damage level can be further subdivided into 3 categories, ultimately resulting in 12 target damage levels, which can be I1, I2, I3, II1, II2, II3, III1, III2, III3, IV1, IV2, and IV3.

[0109] Furthermore, corresponding control methods are proposed based on the damage level of each target.

[0110] Table 3 shows the correspondence between the initial damage level, characteristic data, environmental data, target damage level, and control methods of the mining-induced overburden:

[0111]

[0112] Table 3

[0113] Among them, (a) is no mining; (b) is full backfilling mining; (c) is partial backfilling, coal pillar retention, height-restricted mining, and key layer separation grouting; (d) is direct mining; (e) is artificial backfilling; and (f) is self-healing.

[0114] In an optional embodiment, when multiple control methods for mining-induced overburden are determined based on the target damage level, one of the multiple control methods is selected for implementation.

[0115] For example, in Table 3, when the target damage level is I3, the corresponding control methods include (b) full filling mining and (c) partial filling, coal pillar retention, height restriction mining, and key layer separation grouting. Therefore, one of the control methods (b) and (c) can be selected for implementation.

[0116] In other words, the control methods in Table 3 are related by "or", and it is not necessary to implement all the control methods corresponding to the target damage level.

[0117] The following describes in detail the method for controlling overburden caused by mining in this embodiment of the present disclosure, using an application scenario as an example.

[0118] Figure 9 A flowchart illustrating the control method for mining-induced overburden in an application scenario is shown, such as... Figure 9 As shown, in step S910, the damage level of mining-induced overburden is classified using data analysis.

[0119] First, obtain the initial data on the factors affecting the working surface.

[0120] Figure 10 A schematic diagram of the simulated interface of the overlying rock damage degree of the 12401 working face in Shangwan Coal Mine is shown, such as... Figure 10 As shown, the first data of the factors affecting the 12401 working face of Shangwan Coal Mine can be the working face length of 300m, the strike advance length of 5429m, the advance speed of 13.6m / d, the mining height of 8.6m, the burial depth of 184m, the loose layer thickness of 62m, the overburden hardness coefficient of 0.663, the sand-base ratio of 0.51, and the width-to-depth ratio of 1.63.

[0121] Then, the target score of the working face is calculated from the first data.

[0122] Specifically, the initial feature values ​​of the factors are calculated from the first set of data, and the target feature values ​​are obtained by filtering the initial feature values. Then, the target score of the working surface is calculated from the target feature values.

[0123] Finally, the initial damage level of the mining overburden in the working face is determined based on the target score.

[0124] The initial damage level of the overburden rock in the working face is obtained by dividing the target score into ranges corresponding to the target score. For example, the initial damage level of the overburden rock in the 12401 working face of Shangwan Coal Mine is Level II.

[0125] In step S920, a schematic diagram of the overburden damage level is determined based on the mining-induced overburden damage level and the degree of overburden fissure penetration.

[0126] Furthermore, characteristic data such as the degree of penetration of overburden fissures can be obtained to determine the level of overburden damage, as shown in the schematic diagram. Figure 8 As shown, it will not be elaborated further here.

[0127] In step S930, the type of mining-induced overburden damage is determined by combining the level of overburden damage caused by mining and the vulnerability of the ecological environment, and then corresponding control methods are proposed.

[0128] Furthermore, based on the vulnerability of the ecological environment, the target damage level of the mining-induced overburden in the 12401 working face of Shangwan Coal Mine was determined to be II2.

[0129] Furthermore, based on the control methods corresponding to the target damage levels shown in Table 3, it was determined that overburden separation grouting would be used on-site to mitigate the damage to the mining-induced overburden.

[0130] It is worth noting that in Table 3, the control methods determined according to the target damage level include (b) full filling mining and (c) partial filling, coal pillar retention, height restriction mining, and key layer separation grouting. Considering the waste of material costs and the impact on mining methods of control method (b), control method (c) is adopted for implementation.

[0131] Figure 11 A comparative diagram showing the on-site measured grouting effect is provided, such as... Figure 11 As shown, by monitoring the changes in the width of six ground fissures and the grouting effect, the results show that the grouting effect is significant. This control method can effectively achieve the assessment and control of mining-induced overburden, providing technical support for the coordinated development of coal mining and ecological protection.

[0132] In an exemplary embodiment of this disclosure, a method for safety assessment and control of mining-induced overburden is provided. This method analyzes the degree of overburden damage in a quantitative and qualitative manner, classifies the damage into different levels, and proposes corresponding control methods for different types of overburden damage. This method is beneficial for reducing the degree of surface damage and lays a theoretical foundation for the ecological zoning and management of the surface.

[0133] Specifically, (1) the method of combining quantitative and qualitative analysis is used to determine the overburden damage level, which is accurate, reliable and convincing; (2) from the perspective of multiple factors, the main factors are selected for mining-induced overburden damage analysis, which is more targeted and goal-oriented. At the same time, the operation is simple, the application of this method is more convenient and quick, and the accuracy is also relatively high; (3) the 12401 working face of Shangwan Coal Mine is used as a typical case for application and verification, which shows that the assessment and control method is highly practical and can be promoted and applied in working faces with similar geological conditions; (4) the analysis method is simple and easy to understand, and has more application value, which points the way for the research and development of surface ecological environment governance technology.

[0134] Furthermore, in an exemplary embodiment of this disclosure, a control device for mining overburden is also provided. Figure 12 A schematic diagram of the control device for mining overburden is shown, such as... Figure 12 As shown, the control device 1200 for mining overburden can include: a data acquisition module 1210, a grade determination module 1220, and a control implementation module 1230. Wherein:

[0135] The data acquisition module 1210 is configured to acquire first data of factors affecting the working face, and calculate the target score of the working face based on the first data;

[0136] The grade determination module 1220 is configured to determine the initial damage level of the mining-induced overburden of the working face based on the target score, and to acquire the second data of the mining-induced overburden;

[0137] The control implementation module 1230 is configured to determine the target damage level of the mining-induced overburden based on the second data and the initial damage level, and to determine and implement the control method for the mining-induced overburden based on the target damage level.

[0138] In an exemplary embodiment of the present invention, the data acquisition module 1210 is configured to:

[0139] The initial feature values ​​of the factors are calculated from the first data, and the target feature values ​​are obtained by filtering the initial feature values.

[0140] The target score of the working surface is obtained by calculating the target feature value.

[0141] In an exemplary embodiment of the present invention, the data acquisition module 1210 is configured to:

[0142] The initial feature values ​​are accumulated to obtain cumulative data, and the cumulative data is compared with the corresponding data threshold to obtain a comparison result.

[0143] When the comparison result is that the cumulative data is greater than the data threshold, the initial feature value corresponding to the cumulative data is determined as the target feature value.

[0144] In an exemplary embodiment of the present invention, the level determination module 1220 is configured to:

[0145] Obtain the score range corresponding to the target score;

[0146] The initial damage level of the mining overburden of the working face is obtained by dividing the target score according to the score range.

[0147] In an exemplary embodiment of the present invention, the second data includes: feature data and environmental data, wherein the feature data includes data characterizing the surface characteristics of overburden fissures, data characterizing the characteristics of flexural subsidence zones, and data characterizing the characteristics of ground fissures, and the environmental data is used to characterize the vulnerability of the ecological environment.

[0148] In an exemplary embodiment of the present invention, the control implementation module 1230 is configured to:

[0149] Establish the correspondence between the initial damage level and the characteristic data;

[0150] The target damage level of the mining-induced overburden is determined based on the correspondence and the environmental data.

[0151] In an exemplary embodiment of the present invention, the control implementation module 1230 is configured to:

[0152] When multiple control methods for mining-induced overburden are determined based on the target damage level, one of the multiple control methods shall be selected for implementation.

[0153] Regarding the apparatus in the above embodiments, the specific manner in which each module performs its operation has been described in detail in the embodiments related to the method, and will not be elaborated upon here.

[0154] Figure 13 This is a block diagram illustrating an electronic device 1300 according to an exemplary embodiment. For example... Figure 13 As shown, the electronic device 1300 may include a processor 1301 and a memory 1302. The electronic device 1300 may also include one or more of a multimedia component 1303, an input / output (I / O) interface 1304, and a communication component 1305.

[0155] The processor 1301 controls the overall operation of the electronic device 1300 to complete all or part of the steps in the aforementioned control method for mining overburden. The memory 1302 stores various types of data to support the operation of the electronic device 1300. This data may include, for example, instructions for any application or method operating on the electronic device 1300, and application-related data such as contact data, sent and received messages, pictures, audio, video, etc. The memory 1302 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 storage, flash memory, magnetic disk, or optical disk. Multimedia component 1303 may include a screen and an audio component. The screen may be, for example, a touchscreen, and the audio component is used to output and / or input audio signals. For example, the audio component may include a microphone for receiving external audio signals. The received audio signals may be further stored in memory 1302 or transmitted via communication component 1305. The audio component also includes at least one speaker for outputting audio signals. I / O interface 1304 provides an interface between processor 1301 and other interface modules, such as a keyboard, mouse, buttons, etc. These buttons may be virtual or physical buttons. Communication component 1305 is used for wired or wireless communication between the electronic device 1300 and other devices. Wireless communication, such as Wi-Fi, Bluetooth, Near Field Communication (NFC), 2G, 3G, 4G, NB-IoT, eMTC, or other 5G, or a combination thereof, is not limited here. Therefore, the corresponding communication component 1305 may include: a Wi-Fi module, a Bluetooth module, an NFC module, etc.

[0156] In an exemplary embodiment, the electronic device 1300 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 perform the above-described control method for mining-induced overburden.

[0157] In another exemplary embodiment, a computer-readable storage medium including program instructions is also provided, which, when executed by a processor, implement the steps of the above-described control method for mining overburden. For example, the computer-readable storage medium may be the memory 1302 including program instructions, which may be executed by the processor 1301 of the electronic device 1300 to complete the above-described control method for mining overburden.

[0158] Figure 14 This is a block diagram illustrating an electronic device 1400 according to an exemplary embodiment. For example, the electronic device 1400 may be provided as a server. (Refer to...) Figure 14 The electronic device 1400 includes a processor 1422, which may be one or more, and a memory 1432 for storing computer programs executable by the processor 1422. The computer program stored in the memory 1432 may include one or more modules, each corresponding to a set of instructions. Furthermore, the processor 1422 may be configured to execute the computer program to perform the aforementioned control method for mining overburden.

[0159] Additionally, the electronic device 1400 may also include a power supply component 1426 and a communication component 1450. The power supply component 1426 can be configured to perform power management of the electronic device 1400, and the communication component 1450 can be configured to enable communication of the electronic device 1400, such as wired or wireless communication. Furthermore, the electronic device 1400 may also include an input / output (I / O) interface 1458. The electronic device 1400 can operate on an operating system stored in the memory 1432.

[0160] In another exemplary embodiment, a computer-readable storage medium including program instructions is also provided, which, when executed by a processor, implement the steps of the above-described control method for mining overburden. For example, the non-transitory computer-readable storage medium may be the memory 1432 including program instructions, which may be executed by the processor 1422 of the electronic device 1400 to complete the above-described control method for mining overburden.

[0161] In another exemplary embodiment, a computer program product is also provided, the computer program product comprising a computer program executable by a programmable device, the computer program having a code portion for performing the above-described control method for mining overburden when executed by the programmable device.

[0162] The preferred embodiments of this disclosure have been described in detail above with reference to the accompanying drawings. However, this disclosure is not limited to the specific details of the above embodiments. Within the scope of the technical concept of this disclosure, various simple modifications can be made to the technical solutions of this disclosure, and these simple modifications all fall within the protection scope of this disclosure.

[0163] It should also be noted that the various specific technical features described in the above embodiments can be combined in any suitable manner without contradiction. To avoid unnecessary repetition, this disclosure will not describe the various possible combinations separately.

[0164] Furthermore, various different embodiments of this disclosure can be combined in any way, as long as they do not violate the spirit of this disclosure, they should also be regarded as the content disclosed in this disclosure.

Claims

1. A method for controlling overburden caused by mining, characterized in that, The method includes: Obtain first data on the factors affecting the working face, and calculate the target score of the working face based on the first data; The initial damage level of the mining-induced overburden of the working face is determined based on the target score, and the second data of the mining-induced overburden is obtained. The target damage level of the mining-induced overburden is determined based on the second data and the initial damage level, and the control method for the mining-induced overburden is determined and implemented based on the target damage level.

2. The method for controlling overburden caused by mining according to claim 1, characterized in that, The step of calculating the target score of the working face from the first data includes: The initial feature values ​​of the factors are calculated from the first data, and the target feature values ​​are obtained by filtering the initial feature values. The target score of the working surface is obtained by calculating the target feature value.

3. The method for controlling overburden caused by mining according to claim 2, characterized in that, The step of filtering the initial feature values ​​to obtain the target feature values ​​includes: The initial feature values ​​are accumulated to obtain cumulative data, and the cumulative data is compared with the corresponding data threshold to obtain a comparison result. When the comparison result is that the cumulative data is greater than the data threshold, the initial feature value corresponding to the cumulative data is determined as the target feature value.

4. The method for controlling overburden caused by mining according to claim 1, characterized in that, The determination of the initial damage level of the mining-induced overburden of the working face based on the target score includes: Obtain the score range corresponding to the target score; The initial damage level of the mining overburden of the working face is obtained by dividing the target score according to the score range.

5. The method for controlling overburden caused by mining according to claim 1, characterized in that, The second data includes: feature data and environmental data. The feature data includes data characterizing the surface characteristics of overburden fissures, data characterizing the characteristics of flexural subsidence zones, and data characterizing the characteristics of ground fissures. The environmental data is used to characterize the vulnerability of the ecological environment.

6. The method for controlling overburden caused by mining according to claim 5, characterized in that, Determining the target damage level of the mining-induced overburden based on the second data and the initial damage level includes: Establish the correspondence between the initial damage level and the characteristic data; The target damage level of the mining-induced overburden is determined based on the correspondence and the environmental data.

7. The method for controlling overburden caused by mining according to claim 1, characterized in that, The method for controlling the mining-induced overburden based on the target damage level is implemented, including: When multiple control methods for mining-induced overburden are determined based on the target damage level, one of the multiple control methods shall be selected for implementation.

8. A control device for mining overburden, characterized in that, include: The data acquisition module is configured to acquire first data of factors affecting the working face, and calculate the target score of the working face based on the first data; The grade determination module is configured to determine the initial damage grade of the mining-induced overburden of the working face based on the target score, and to acquire the second data of the mining-induced overburden; The control implementation module is configured to determine the target damage level of the mining-induced overburden based on the second data and the initial damage level, and to determine and implement the control method for the mining-induced overburden based on the target damage level.

9. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that, When executed by a processor, the program implements the steps of the method described in any one of claims 1-7.

10. An electronic device, characterized in that, include: A memory on which computer programs are stored; A processor for executing the computer program in the memory to implement the steps of the method according to any one of claims 1-7.

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