Multi-coal-seam mining large-face-width gob-side entry retaining efficient supporting structure and method

Abstract

The application discloses a kind of multi-coal seam mining large face width gob-side entry retaining high-efficiency supporting structure and method, belong to coal mine roadway supporting technical field, including obtaining the state data of roadway, generates the health index of roadway, and generates the risk signal of roadway;The roof displacement and support cost of roadway are obtained, and the minimum value of roof displacement-support cost comprehensive score is generated;According to the minimum value of roof displacement-support cost comprehensive score, generate the roof displacement early warning dynamic adjustment set value, and correct the early warning value of roadway health;The application not only can obtain the filling body stress, roof displacement and coal bank temperature etc. Data of roadway in real time, dynamically evaluate the health status of roadway, and adjust support parameters in time according to risk signal, but also can adjust early warning value by establishing roof displacement-support cost analysis model, consider roof displacement and support cost comprehensively, realize the optimal balance of support cost and safety.

Description

A High-Efficiency Support Structure and Method for Wide-Fast Roadway Retention in Multi-Seam Mining Technical Field

[0001] This invention belongs to the field of coal mine roadway support technology, and particularly relates to an efficient support structure and method for wide-face roadway retention in multi-coal-seam mining. Background Technology

[0002] In coal mining, multi-seam mining and wide-faced roadway retention along the goaf are common mining methods. However, these methods are often accompanied by the complexity and high risk of roadway support.

[0003] Traditional support methods often rely on experience-based judgment and static support parameter settings, making it difficult to dynamically respond to changes in roadway conditions. This results in poor support effectiveness and may even lead to safety accidents. Moreover, existing support methods often neglect cost control while pursuing safety, leading to resource waste. Summary of the Invention

[0004] To address the shortcomings of existing technologies, this invention provides a highly efficient support structure and method for wide-face roadway retention in multi-coal seam mining, thus solving the aforementioned problems.

[0005] To achieve the above objectives, the present invention provides the following technical solution: a method for efficient support of wide-face roadways in multi-coal seam mining, comprising the following steps:

[0006] Step 1: Obtain the condition data of the roadway and generate the roadway health index; the roadway data includes the stress of the filling body, the displacement of the roof, and the temperature of the coal face; the coal face refers to the coal walls on both sides of the roadway.

[0007] Step 2: Based on the roadway health index, determine whether there is any risk in the roadway's condition and generate roadway risk signals; among which, roadway risk signals include level 1 roadway risk signals, level 2 roadway risk signals, and level 3 roadway risk signals;

[0008] Step 3: Set the monitoring period, obtain the roof displacement and support cost of the roadway within the monitoring period, establish a roof displacement-support cost analysis model, substitute the roof displacement and support cost of the roadway within the monitoring period into the roof displacement-support cost analysis model, and generate the minimum value of the comprehensive score of roof displacement-support cost.

[0009] Step 4: Generate the dynamic adjustment setting value for roof displacement early warning based on the minimum value of the comprehensive score of roof displacement-support cost;

[0010] Step 5: Dynamically adjust the set values ​​based on the signal warnings to correct the roadway health warning values;

[0011] The expression for the roof displacement-support cost analysis model is as follows:

[0012]

[0013] In the expression, K min This represents the minimum value of the comprehensive score for roof displacement and support cost, t represents a single moment within a single monitoring period, n represents the maximum number of single moments within a single monitoring period, and ΔD t λ1 represents the roof displacement at a single moment within a single monitoring period, C represents the support cost at a single moment within a single monitoring period, and λ1 and λ2 are both weighting coefficients, with λ1 + λ2 = 1.

[0014] Based on the above technical solutions, the present invention also provides the following optional technical solutions:

[0015] Further technical solution: Step one specifically includes the following steps:

[0016] S10: Obtain the stress of the filling material, the displacement of the roof, and the temperature of the coal seam in the roadway;

[0017] S11: Generate a stress evaluation index for the filling body based on the stress of the filling body in the roadway;

[0018] S12: Generate a roof displacement evaluation index based on the roof displacement of the roadway;

[0019] S13: Generate a coal face temperature evaluation index based on the coal face temperature in the roadway;

[0020] S14: Generate the roadway health index based on the filling stress evaluation index, roof displacement evaluation index, and coal seam temperature evaluation index.

[0021] A further technical solution: The specific method for generating the stress evaluation index of the filling body is as follows:

[0022] The stress difference is generated by processing the difference between the stress of the filling material in the roadway and the stress warning value of the filling material.

[0023] The stress difference is compared with the stress warning value of the filling body to generate the stress evaluation index of the filling body.

[0024] A further technical solution: The specific method for generating the top plate displacement evaluation index is as follows:

[0025] The difference between the roof displacement and the roof displacement warning value is processed to generate the displacement difference value.

[0026] The displacement difference is compared with the roof displacement warning value to generate the roof displacement evaluation index.

[0027] Further technical solution: The specific method for generating the coal seam temperature evaluation index is as follows:

[0028] The temperature difference between the coal face temperature in the roadway and the coal face temperature warning value is processed to generate a temperature difference value.

[0029] The temperature difference is compared with the coal seam temperature warning value to generate a coal seam temperature evaluation index.

[0030] Further technical solution: The method for generating the roadway health index is as follows:

[0031] Through formula

[0032] HHI=S*α+D*β+T*γ

[0033] Generate the roadway health index HHI;

[0034] In the formula, S represents the filling stress evaluation index, D represents the roof displacement evaluation index, T represents the coal seam temperature evaluation index, and α, β, and γ are all weighting coefficients, and α+β+γ=1.

[0035] Further technical solution: The judgment method in step two is as follows:

[0036] A preset warning threshold for roadway health is established, and the roadway health index is compared with the warning threshold for roadway health. The warning threshold for roadway health includes a first threshold and a second threshold, and the first threshold is less than the second threshold.

[0037] If the roadway health index is less than or equal to the first threshold, it means that the smaller the roadway health index, the more normal the roadway's health status, and a level 3 roadway risk signal is generated.

[0038] If the roadway health index is greater than the first threshold and less than the second threshold, it means that the higher the roadway health index, the more abnormal the roadway's health status, and a secondary risk signal for the roadway is generated.

[0039] If the roadway health index is greater than the second threshold, it means that the higher the roadway health index, the more dangerous the roadway's health status, and a first-level risk signal for the roadway is generated.

[0040] Further technical solution: Step three specifically includes the following steps:

[0041] S30: Set the monitoring cycle and divide the monitoring cycle into several monitoring periods;

[0042] S31: Obtain the roof displacement and support cost of the roadway at a single moment within the monitoring period; where support cost refers to the total cost of grouting energy consumption and the number of anchor cables.

[0043] It should be noted that a single moment within a monitoring period refers to a single moment out of all moments contained within that monitoring period;

[0044] S32: Establish a roof displacement-support cost analysis model, substitute the roof displacement and support cost of the roadway during the monitoring period into the roof displacement-support cost analysis model, and generate the minimum value of the comprehensive score of roof displacement-support cost.

[0045] Further technical solution: The specific method for determining the values ​​of the weighting coefficients λ1 and λ2 in the roof displacement-support cost analysis model is as follows:

[0046] The values ​​of the weighting coefficients λ1 and λ2 are preset;

[0047] Through formula

[0048] λ1(t+1)=λ1(t)+κ*(D t -D safe )

[0049] Generate the adjusted weight coefficients λ1(t+1) for the next time step;

[0050] In the formula, λ1(t+1) represents the safety weight adjusted at the next moment, λ1(t) represents the safety weight at the current moment, κ represents the adjustment coefficient and κ>0 represents the warning threshold for roof displacement in the roadway, and Dt represents the roof displacement at the current moment; moment refers to the moment of the monitoring period within the monitoring cycle.

[0051] Through formula

[0052] λ2(t+1)=1-λ1(t+1)

[0053] Generate the adjusted weight coefficients λ2(t+1) for the next time step.

[0054] The adjustment coefficient κ is specifically determined as follows:

[0055] Through formula

[0056]

[0057] Generate adjustment coefficient κ;

[0058] In the formula, ε represents the expected adjustment time, and max(ΔD) represents the maximum value of all top plate offsets within the monitoring period.

[0059] A high-efficiency support structure for wide-face roadway retention in multi-coal seam mining is disclosed, which is used in the above-mentioned high-efficiency support method for wide-face roadway retention in multi-coal seam mining.

[0060] This invention provides a highly efficient support structure and method for wide-face roadway retention in multi-coal seam mining, which has the following advantages compared with the prior art:

[0061] This invention can not only generate a roadway health index by acquiring data such as the stress of the roadway filling body, the amount of roof displacement, and the temperature of the coal face in real time, and dynamically assess the health status of the roadway, and adjust the support parameters in a timely manner according to risk signals, but also establish a roof displacement-support cost analysis model, comprehensively consider the amount of roof displacement and support cost, generate the minimum value of the comprehensive score of roof displacement-support cost, adjust the warning value, and achieve the optimal balance between support cost and safety. Attached Figure Description

[0062] Figure 1 is a flowchart of an efficient support method for wide-face goaf retention roadway in multi-coal seam mining according to an embodiment of the present invention. Detailed Implementation

[0063] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0064] The specific implementation of the present invention will be described in detail below with reference to specific embodiments.

[0065] Please refer to Figure 1, which illustrates an efficient support method for wide-face roadway retention in multi-coal seam mining according to an embodiment of the present invention, comprising the following steps:

[0066] Step 1: Obtain the condition data of the roadway and generate the roadway health index; the roadway data includes the stress of the filling body, the displacement of the roof, and the temperature of the coal face; the coal face refers to the coal walls on both sides of the roadway.

[0067] Step 2: Based on the roadway health index, determine whether there is any risk in the roadway's condition and generate roadway risk signals; among which, roadway risk signals include level 1 roadway risk signals, level 2 roadway risk signals, and level 3 roadway risk signals;

[0068] Step 3: Set the monitoring period, obtain the roof displacement and support cost of the roadway within the monitoring period, establish a roof displacement-support cost analysis model, substitute the roof displacement and support cost of the roadway within the monitoring period into the roof displacement-support cost analysis model, and generate the minimum value of the comprehensive score of roof displacement-support cost.

[0069] Step 4: Generate the dynamic adjustment setting value for roof displacement early warning based on the minimum value of the comprehensive score of roof displacement-support cost;

[0070] Step 5: Dynamically adjust the set values ​​based on the signal warnings to correct the roadway health warning values;

[0071] The expression for the roof displacement-support cost analysis model is as follows:

[0072]

[0073] In the expression, K min This represents the minimum value of the comprehensive score for roof displacement and support cost, t represents a single moment within a single monitoring period, n represents the maximum number of single moments within a single monitoring period, and ΔD t λ1 represents the roof displacement at a single moment within a single monitoring period, C represents the support cost at a single moment within a single monitoring period, and λ1 and λ2 are both weighting coefficients, with λ1 + λ2 = 1.

[0074] In a preferred embodiment of the present invention, step one specifically includes the following steps:

[0075] S10: Obtain the stress of the filling material, the displacement of the roof, and the temperature of the coal seam in the roadway;

[0076] S11: Generate a stress evaluation index for the filling body based on the stress of the filling body in the roadway;

[0077] S12: Generate a roof displacement evaluation index based on the roof displacement of the roadway;

[0078] S13: Generate a coal face temperature evaluation index based on the coal face temperature in the roadway;

[0079] S14: Generate the roadway health index based on the filling stress evaluation index, roof displacement evaluation index, and coal seam temperature evaluation index.

[0080] In a preferred embodiment of the present invention, the stress evaluation index of the filling body is generated in the following manner:

[0081] The stress difference is generated by processing the difference between the stress of the filling material in the roadway and the stress warning value of the filling material.

[0082] The stress difference is compared with the stress warning value of the filling body to generate the stress evaluation index of the filling body.

[0083] The specific method for generating the top plate displacement evaluation index is as follows:

[0084] The difference between the roof displacement and the roof displacement warning value is processed to generate the displacement difference value.

[0085] The displacement difference is compared with the roof displacement warning value to generate the roof displacement evaluation index.

[0086] The specific method for generating the coal seam temperature evaluation index is as follows:

[0087] The temperature difference between the coal face temperature in the roadway and the coal face temperature warning value is processed to generate a temperature difference value.

[0088] The temperature difference is compared with the coal face temperature warning value to generate a coal face temperature evaluation index.

[0089] The specific method for generating the roadway health index is as follows:

[0090] The roadway health index is generated by weighting the filling stress evaluation index, the roof displacement evaluation index, and the coal seam temperature evaluation index.

[0091] For example, through the formula

[0092] HHI=S*α+D*β+T*γ

[0093] Generate the roadway health index HHI;

[0094] In the formula, S represents the filling stress evaluation index, D represents the roof displacement evaluation index, T represents the coal seam temperature evaluation index, and α, β, and γ are all weighting coefficients, and α+β+γ=1.

[0095] It should be noted that the values ​​of α, β, and γ are set by relevant personnel in this field; in addition, α, β, and γ can be generated through expert consultation combined with the analytic hierarchy process.

[0096] In a preferred embodiment of the present invention, the determination method in step two is specifically as follows:

[0097] A preset warning threshold for roadway health is established, and the roadway health index is compared with the warning threshold for roadway health. The warning threshold for roadway health includes a first threshold and a second threshold, and the first threshold is less than the second threshold.

[0098] If the roadway health index is less than or equal to the first threshold, it means that the smaller the roadway health index, the more normal the roadway health status, and a level 3 roadway risk signal is generated; when a level 3 roadway risk signal is received, only manual re-inspection is required to maintain the routine support parameters.

[0099] If the roadway health index is greater than the first threshold and less than the second threshold, it means that the higher the roadway health index, the more abnormal the roadway's health status, and a secondary risk signal for the roadway is generated. When a secondary risk signal for the roadway is received, the support strength of the roadway is adjusted appropriately. Appropriate adjustment methods include, but are not limited to, activating temporary hydraulic supports to reinforce the support and adjusting the grouting pressure.

[0100] If the roadway health index is greater than the second threshold, it means that the higher the roadway health index, the more dangerous the roadway's health status, and a first-level risk signal for the roadway is generated. When a first-level risk signal for the roadway is received, the support strength of the roadway needs to be strengthened in a timely manner. The strengthening methods include, but are not limited to, starting high-pressure grouting, increasing the pre-tightening force of anchor cables, and increasing the number of anchor cables.

[0101] In a preferred embodiment of the present invention, step three specifically includes the following steps:

[0102] S30: Set the monitoring cycle and divide the monitoring cycle into several monitoring periods;

[0103] S31: Obtain the roof displacement and support cost of the roadway at a single moment within the monitoring period; where support cost refers to the total cost of grouting energy consumption and the number of anchor cables.

[0104] It should be noted that a single moment within a monitoring period refers to a single moment out of all moments contained within that monitoring period;

[0105] S32: Establish a roof displacement-support cost analysis model, substitute the roof displacement and support cost of the roadway during the monitoring period into the roof displacement-support cost analysis model, and generate the minimum value of the comprehensive score of roof displacement-support cost.

[0106] In a preferred embodiment of the present invention, the values ​​of the weighting coefficients λ1 and λ2 are specifically determined as follows:

[0107] The values ​​of the weighting coefficients λ1 and λ2 are preset;

[0108] It should be noted that the preset values ​​of λ1 and λ2 can be directly set by domain experts based on their engineering experience;

[0109] Through formula

[0110] λ1(t+1)=λ1(t)+κ*(D t -D safe )

[0111] Generate the adjusted weight coefficients λ1(t+1) for the next time step;

[0112] In the formula, λ1(t+1) represents the safety weight adjusted at the next moment, λ1(t) represents the safety weight at the current moment, κ represents the adjustment coefficient (κ>0), and D represents the warning threshold for roadway roof displacement. t This indicates the current displacement of the roof slab; "moment" refers to the time of the monitoring period within the monitoring cycle.

[0113] Based on the adjusted weight coefficient λ1(t+1) at the next time step, generate the adjusted weight coefficient λ2(t+1) at the next time step;

[0114] For example, through the formula

[0115] λ2(t+1)=1-λ1(t+1)

[0116] Generate the adjusted weight coefficients λ2(t+1) for the next time step.

[0117] In a preferred embodiment of the present invention, the adjustment coefficient κ is specifically determined as follows:

[0118] Through formula

[0119]

[0120] Generate adjustment coefficient κ;

[0121] In the formula, ε represents the expected adjustment time, and max(ΔD) represents the maximum value of all top plate offsets within the monitoring period;

[0122] It should be explained that the value of the expected adjustment time ε is set by those skilled in the art based on the roof offset. For example, if the roof offset is small, the expected adjustment time ε should be larger (larger than the empirical setting, which is generally 1-10 minutes; the specific value needs to be set empirically based on the actual application). If the roof offset is large, the expected adjustment time ε should be smaller. The smaller the expected adjustment time ε, the faster the system response and the more sensitive the weight adjustment. The larger the expected adjustment time ε, the slower the system response and the smoother the weight adjustment.

[0123] In addition, the adjustment expectation time ε and the maximum value of all top plate offsets within the monitoring period, max(ΔD), are dimensionless values.

[0124] In a preferred embodiment of the present invention, step four specifically includes:

[0125] Based on the minimum value of the comprehensive score of roof displacement-support cost, the roof displacement amount in the minimum value of the comprehensive score of roof displacement-support cost is used as the roof displacement warning value, that is, the dynamic adjustment setting value of the signal warning is generated.

[0126] The present invention also provides a high-efficiency support structure for wide-face roadway retention in multi-coal seam mining, which is used to implement the above-mentioned high-efficiency support method for wide-face roadway retention in multi-coal seam mining.

[0127] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A highly efficient support method for wide-face roadway retention in multi-coal seam mining, characterized in that, Includes the following steps: Step 1: Acquire roadway status data and generate a roadway health index; the roadway data includes backfill stress, roof displacement, and coal face temperature; the coal face refers to the coal walls on both sides of the roadway. Step 2: Based on the roadway health index, determine if the roadway status poses a risk and generate roadway risk signals; these signals include Level 1, Level 2, and Level 3 risk signals. Step 3: Set a monitoring period, acquire the roof displacement and support cost within the monitoring period, establish a roof displacement-support cost analysis model, and substitute the roof displacement and support cost into the model to generate the minimum value of the roof displacement-support cost comprehensive score. Step 4: Based on the minimum value of the roof displacement-support cost comprehensive score, generate a dynamic adjustment setpoint for roof displacement early warning. Step 5: Based on the dynamic adjustment setpoint, correct the roadway health early warning value; the expression for the roof displacement-support cost analysis model is: In the expression, K min This represents the minimum value of the comprehensive score for roof displacement and support cost, t represents a single moment within a single monitoring period, n represents the maximum number of single moments within a single monitoring period, and ΔD t λ1 represents the roof displacement at a single moment within a single monitoring period, C represents the support cost at a single moment within a single monitoring period, and λ1 and λ2 are both weighting coefficients, with λ1 + λ2 = 1.

2. The efficient support method for wide-face roadway retention in multi-coal seam mining according to claim 1, characterized in that, Step one specifically includes the following steps: S10: Obtain the stress of the backfill, the displacement of the roof, and the temperature of the coal face in the roadway; S11: Generate a backfill stress evaluation index based on the stress of the backfill; S12: Generate a roof displacement evaluation index based on the displacement of the roof in the roadway; S13: Generate a coal face temperature evaluation index based on the temperature of the coal face in the roadway; S14: Generate a roadway health index based on the backfill stress evaluation index, the roof displacement evaluation index, and the coal face temperature evaluation index.

3. The efficient support method for wide-face roadway retention in multi-coal seam mining according to claim 2, characterized in that, The specific method for generating the filling stress evaluation index is as follows: the difference between the filling stress of the roadway and the filling stress warning value is processed to generate a stress difference value; the ratio between the stress difference value and the filling stress warning value is processed to generate the filling stress evaluation index.

4. The efficient support method for wide-face roadway retention in multi-coal seam mining according to claim 2, characterized in that, The specific method for generating the roof displacement evaluation index is as follows: the roof displacement of the roadway is compared with the roof displacement warning value to generate a displacement difference; the displacement difference is then compared with the roof displacement warning value to generate the roof displacement evaluation index.

5. The efficient support method for wide-face roadway retention in multi-coal seam mining according to claim 2, characterized in that, The coal face temperature evaluation index is generated as follows: the difference between the coal face temperature of the roadway and the coal face temperature warning value is processed to generate a temperature difference value; the ratio between the temperature difference value and the coal face temperature warning value is processed to generate the coal face temperature evaluation index.

6. The efficient support method for wide-face roadway retention in multi-coal seam mining according to claim 2, characterized in that, The roadway health index is generated in the following way: the roadway health index HHI is generated by the formula HHI=S*α+D*β+T*γ; in the formula, S represents the filling stress evaluation index, D represents the roof displacement evaluation index, T represents the coal seam temperature evaluation index, α, β, and γ are all weighting coefficients, and α+β+γ=1.

7. The efficient support method for wide-face roadway retention in multi-coal seam mining according to claim 2, characterized in that, The specific judgment method in step two is as follows: a preset roadway health early warning threshold is set, and the roadway health index is compared with the roadway health early warning threshold; wherein, the roadway health early warning threshold includes a first threshold and a second threshold, and the first threshold is less than the second threshold; if the roadway health index is less than or equal to the first threshold, it means that the smaller the roadway health index, the more normal the roadway health status, and a level three roadway risk signal is generated; if the roadway health index is greater than the first threshold and less than the second threshold, it means that the larger the roadway health index, the more abnormal the roadway health status, and a level two roadway risk signal is generated; if the roadway health index is greater than the second threshold, it means that the larger the roadway health index, the more dangerous the roadway health status, and a level one roadway risk signal is generated.

8. The efficient support method for wide-face roadway retention in multi-coal seam mining according to claim 1, characterized in that, The specific details of step three The process includes the following steps: S30: Set the monitoring period and divide it into several monitoring time periods; S31: Obtain the roof displacement and support cost of the roadway at a single moment within the monitoring time period; where support cost refers to the total cost of grouting energy consumption and the number of anchor cables; it should be noted that a single moment within the monitoring time period refers to a single moment among all moments included in the monitoring time period; S32: Establish a roof displacement-support cost analysis model, substitute the roof displacement and support cost of the roadway within the monitoring time period into the roof displacement-support cost analysis model, and generate the minimum value of the comprehensive score of roof displacement-support cost.

9. The efficient support method for wide-face roadway retention in multi-coal seam mining according to claim 1, characterized in that, The weighting coefficients λ1 and λ2 in the roof displacement-support cost analysis model are specifically determined as follows: the values ​​of weighting coefficients λ1 and λ2 are preset; and the values ​​are determined using the formula λ1(t+1)=λ1(t)+κ*(D t -D safe The adjusted weight coefficient λ1(t+1) for the next time step is generated. In the formula, λ1(t+1) represents the safety weight adjusted for the next time step, λ1(t) represents the safety weight for the current time step, κ represents the adjustment coefficient (κ>0), which represents the warning threshold for roof displacement in the roadway, and Dt represents the roof displacement at the current time step. Time step refers to the time of the monitoring period within the monitoring cycle. The adjusted weight coefficient λ2(t+1) for the next time step is generated using the formula λ2(t+1)=1-λ1(t+1), where the adjustment coefficient κ is specifically determined by the formula... Generate the adjustment coefficient κ; in the formula, ε represents the expected adjustment time, and max(ΔD) represents the maximum value of all top plate offsets within the monitoring period.

10. A high-efficiency support structure for wide-face roadway retention in multi-coal seam mining, characterized in that, This structure is used for the efficient support method of wide-face roadway retention in multi-coal seam mining as described in claims 1-9.

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