Judgment method for connectivity of roadways in monoclinic room and pillar type water-filling re-mining area

Abstract

The invention provides a method for judging the connectivity of roadways in a monoclinic room and pillar type water-filling re-mining area, and belongs to the technical field of coal mining. The problem that a complex roadway structure and accumulated water in a single-slope room-pillar type re-mining area cannot be effectively analyzed and judged through a traditional technical means is solved. Comprising the following steps: collecting and supplementing geological data; carrying out regional drilling arrangement design on a re-mining area; carrying out drainage drilling and detection drilling; calculating the total amount of accumulated water and water level change; further calculating the total amount of accumulated water in the re-mining area and the water level change condition of the accumulated water in each area according to a dynamic fluid mechanics model, and comprehensively analyzing the data to judge the connectivity of the roadway; the method is applied to re-mining area roadway connectivity judgment.

Description

Technical Field

[0001] The present application provides a method for determining the connectivity of tunnels in a mono-slant room-and-pillar water-filled re-mining area, and belongs to the technical field of coal mining. Background Art

[0002] As my country's basic energy and important industrial raw material, coal plays an important role in the national economy and social development. With the continuous growth of energy demand, it is particularly important to achieve clean and efficient utilization of coal, especially for the re-mining of legacy coal pillars. The room-and-pillar mining method has been widely used in the history of coal mining in my country, forming a large number of legacy coal pillar resources. In particular, the mono-oblique room-and-pillar re-mining area, due to its complex roadway distribution and water accumulation problems, poses great challenges to the re-mining work. To this end, a method for judging the connectivity of the roadways in the mono-oblique room-and-pillar water-filled re-mining area is proposed, aiming to improve the efficiency of re-mining and reduce safety risks.

[0003] At present, the research and technology for the re-mining of the remaining coal pillars mainly focus on the coal pillar mining methods and equipment improvements, but there is little research on the judgment methods of tunnel connectivity and water accumulation in the re-mining area. When faced with complex tunnel structures and water accumulation problems, the existing technology often lacks effective detection and analysis methods, resulting in increased risks and low re-mining efficiency during the re-mining process. In addition, traditional drainage and detection methods cannot fully reflect the connectivity of the tunnels, resulting in unsatisfactory implementation of the re-mining plan. Summary of the invention

[0004] In order to solve the problem that traditional technical means cannot effectively analyze and judge the complex tunnel structure and water accumulation in monocline room-pillar mining areas, this application proposes a method for judging the connectivity of tunnels in monocline room-pillar water-filled mining areas.

[0005] The technical solution adopted in this application is: a method for determining the connectivity of the tunnels in a monocline room-and-pillar water-filled re-mining area, comprising the following steps:

[0006] Step 1: Collect geological data of the monocline room-and-pillar water-filled mining area to be evaluated;

[0007] Step 2: Design the regional drilling layout for the coal seams in the re-mining area based on geological data, and implement drainage drilling and detection drilling according to the designed regional drilling layout plan;

[0008] Step 3: Estimate the total amount of water in the re-mining area based on the historical mining conditions of the monocline room-and-pillar water-filled re-mining area, and preliminarily estimate the theoretical water level drop rate during the drainage process based on the mine drainage capacity;

[0009] Step 4: Sampling the accumulated water in different areas, and then conducting physical and chemical composition analysis, and making a preliminary judgment on the regional connectivity of the tunnels in the monocline room-and-pillar water-filled mining area based on the analysis results;

[0010] Step 5: Drain the monocline room-and-pillar water-filled re-mining area, and monitor the changes in drainage water level and the flow rate, temperature and pressure of water in the re-mining area in real time. Further calculate the total amount of water in the re-mining area and the changes in the water level of each area based on the dynamic fluid mechanics model;

[0011] The dynamic fluid mechanics model combines multiple parameters on the basis of the traditional static fluid mechanics model to realize the comprehensive analysis of the amount of accumulated water and the flow rate of accumulated water.

[0012] Step 6: Combine the water level changes obtained from real-time monitoring and the calculated theoretical water level drop rate to further determine the connectivity of the tunnel area; finally, comprehensively analyze the physical and chemical composition analysis and drainage water level changes to make a final evaluation of the connectivity of the tunnel area in the monocline room-and-pillar water-filled mining area.

[0013] Furthermore, in step 1, a preliminary evaluation is made on the water accumulation in the coal seams in the re-mining area based on the mining history of the coalfield and the geological data of nearby mines. For re-mining areas with no geological data or incomplete geological data, drilling projects or detection methods are needed to supplement the geological data of the re-mining area.

[0014] Furthermore, the dynamic fluid mechanics model in step 3 constructs a flow model of accumulated water in the tunnel based on the Navier-Stokes equations to simulate flow velocity, pressure gradient and flow path. The dynamic fluid mechanics model sets boundary conditions and simulation scenarios, and also introduces temperature, pressure parameters and dynamic change laws, thereby improving the static fluid mechanics model.

[0015] Furthermore, the boundary conditions include: the shape, inclination, roughness of the roadway, and the location and flow rate of the drainage boreholes.

[0016] Furthermore, the simulation scenario takes into account different drainage rates, tunnel connectivity and the size of the waterlogged area to simulate the dynamic changes of water bodies in the tunnels and generate spatiotemporal distribution data of fluid flow.

[0017] The dynamic change law is revealed by real-time analysis of multi-dimensional data of temperature, pressure and flow rate of accumulated water, so as to further optimize the dynamic fluid mechanics model.

[0018] Furthermore, according to the comparison result between the simulation result of the dynamic fluid mechanics model and the theoretical water level drop speed, the parameters of the dynamic fluid mechanics model are adjusted to obtain the optimal model.

[0019] Furthermore, the expression of the dynamic fluid mechanics model is as follows:

[0020]

[0021] Where: ρ is the fluid density; V is the theoretical water level drop speed; v is the flow velocity vector; t is time; p is pressure; F is the external force; is the gradient operator; is the Laplace operator; k T is the thermal conductivity of the fluid; T is the temperature field.

[0022] Furthermore, the calculation formula of the theoretical water level drop speed V is as follows:

[0023]

[0024] Where: l 走向 is the historical mining thickness of the coal seam; L is the equivalent total width of the historical mining tunnel; P is the mine drainage capacity; α is the average inclination angle of the monocline coal seam;

[0025] in:

[0026]

[0027] Where: W is the total volume of accumulated water; l is the dip length of the coal seam.

[0028] The calculation formula of the total volume of accumulated water W is as follows:

[0029] W = η × H × S;

[0030] Where: η is the historical recovery rate; H is the average thickness of the coal seam; S is the area of ​​the coal seam.

[0031] The beneficial effects of the present application compared to the prior art are as follows: the present application makes an accurate judgment on the connectivity of complex tunnels in the mono-slope room-pillar water-filled re-mining area through physical and chemical analysis and real-time monitoring; through the judgment on the connectivity of tunnels in the mono-slope room-pillar water-filled re-mining area, it can be concluded that there are still areas in the re-mining area with high risk of water accumulation after preliminary drainage work, which provides warnings for subsequent re-mining work and reduces the risk of flood accidents in the re-mining work; combined with physical and chemical analysis and real-time drainage conditions, the reliability of the judgment on the regional connectivity of tunnels in the mono-slope room-pillar re-mining area is improved; regional drilling work is carried out in the re-mining area, which reduces the number of drilling construction, reduces detection costs, and improves economic benefits. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] The present application is further described below with reference to the accompanying drawings:

[0033] Figure 1 A schematic plan view of the drilling distribution provided in an embodiment of the present application;

[0034] Figure 2 A diagram of regional theoretical water level changes provided in the embodiments of the present application;

[0035] Figure 3 It is a diagram of the actual detected water level change in area 1 provided in the embodiment of the present application;

[0036] Figure 4 This is a diagram of actual detected water level changes in area 2 provided in the embodiment of the present application;

[0037] In the figure: 1 is the detection borehole, 2 is area one, 3 is the drainage borehole, 4 is area two, and 5 is the area with unclear tunnel connectivity. DETAILED DESCRIPTION

[0038] like Figures 1 to 4 As shown, the present application provides a method for determining the connectivity of the tunnels in a mono-slant room-pillar water-filled re-mining area, which determines the connectivity of the tunnels in a mono-slant room-pillar water-filled re-mining area by combining regional drilling, physical and chemical analysis and real-time monitoring. The specific steps include: collecting and supplementing geological data, designing the regional drilling layout for the re-mining area, implementing drainage drilling and detection drilling, calculating the total amount of accumulated water and water level changes, sampling and analyzing the physical and chemical composition of the accumulated water, real-time monitoring of the drainage water level, and comprehensively analyzing the above data to determine the connectivity of the tunnels.

[0039] The specific implementation steps of this application are described below.

[0040] Step 1: Collect existing geological data and make a preliminary evaluation of the water accumulation in the coal seams in the re-mining area based on the mining history of the coalfield and the geological data of nearby mines. For re-mining areas with no geological data or incomplete geological data, drilling projects or other detection methods such as geophysical exploration are needed to supplement the geological data of the re-mining area.

[0041] Step 2: Design the drilling arrangement for the coal seams in the re-mining area according to the geological data collected and detected;

[0042] According to the regional drilling layout design plan, drainage drilling and monitoring drilling are carried out in the mono-slant room-and-pillar water-filled re-mining area.

[0043] Step 3: Estimate the total amount of water in the re-mining area based on the historical mining conditions of the monocline room-and-pillar water-filled re-mining area, and preliminarily estimate the theoretical changes in the water level during the drainage process based on the mine drainage capacity.

[0044] The calculation formula for the total amount of water accumulation in the re-mining area is as follows:

[0045] W = η × H × S;

[0046] Where: W is the total volume of water, in m 3 ; η is the historical recovery rate; H is the average thickness of the coal seam, in m; S is the area of ​​the coal seam, in m 2 .

[0047] The calculation formula for the rate of water level decline is:

[0048]

[0049] Where: V is the theoretical water level drop speed, in m / h; l 走向 is the historical mining thickness of the coal seam, in m; L is the equivalent total width of the historical mining tunnel, in m; P is the mine drainage capacity, in m 3 / h; α is the average inclination angle of the monocline coal seam.

[0050] Among them, the equivalent total width L of the historical mining tunnel is calculated by the total volume of water accumulation W, the historical mining height h of the coal seam, and the dip length l of the coal seam:

[0051]

[0052] Step 4: Take samples of the accumulated water in different areas, and then analyze the physical and chemical composition of the accumulated water. The connectivity of the tunnel area in the monocline room-pillar water-filled re-mining area is preliminarily determined through the analysis results. If the tunnel area is connected, the water quality of the accumulated water in different areas is uniform, and its physical and chemical composition is basically the same. Therefore, the connectivity of the tunnel area can be preliminarily determined; if some areas are not connected, the physical and chemical composition of the accumulated water in this area will be different from that of the accumulated water in the connected area, and the area needs to be drained separately in the subsequent drainage work.

[0053] Step 5: Drain the mono-slope room-and-pillar water-filled re-mining area and monitor in real time the changes in drainage water levels and parameters such as water flow rate, water temperature and water pressure in the re-mining area.

[0054] In order to further improve the accuracy of the calculation of the total amount of accumulated water and water level changes, this application introduces a dynamic fluid mechanics model and multi-parameter analysis on the basis of the traditional static calculation method, simulates the flow path of water in the tunnel, and combines the three-dimensional geological model to realize the visualization analysis of the water level changes in the tunnel. The specific process includes: the introduction of a dynamic fluid mechanics model, a comprehensive analysis of multiple parameters, and the calculation of the combination of dynamic data and theory;

[0055] The introduction of the dynamic fluid mechanics model includes model construction, boundary conditions, and simulation scenarios;

[0056] The model construction is based on the Navier-Stokes equation, and a flow model of accumulated water in the tunnel is established to simulate the flow velocity, pressure gradient and flow path;

[0057] The boundary conditions are combined with the shape, inclination, roughness of the roadway and the location and flow rate of the drainage boreholes to define the boundary conditions of fluid movement; the boundary conditions directly determine the constraints of fluid flow and affect the velocity field, pressure distribution and turbulence characteristics. The shape, inclination and roughness of the roadway determine the slip of the fluid on the boundary, while the location and flow rate of the drainage boreholes affect the outlet boundary of the fluid, causing changes in the distribution of flow velocity and pressure gradient.

[0058] The simulation scenario simulates the dynamic changes of water bodies in the tunnel by considering different drainage rates, tunnel connectivity and the size of the waterlogged area, and generates spatiotemporal distribution data of fluid flow; the simulation scenario will affect the gradient term in the equation, mainly affecting the value of the initial calculation.

[0059] The multi-parameter comprehensive analysis includes the introduction of temperature parameters, pressure parameters, and dynamic change rules;

[0060] The temperature parameter refers to adding a water temperature parameter to the dynamic fluid mechanics model to simulate the effect of temperature gradient on water flow;

[0061] The pressure parameter refers to the real-time monitoring of the pressure change of the water body in the tunnel, and the influence of the pressure change on the flow rate and connectivity of the water body is analyzed in combination with the dynamic fluid mechanics model;

[0062] The dynamic change law refers to the real-time analysis of multi-dimensional data such as temperature, pressure, flow rate, etc. of the accumulated water, so as to reveal the dynamic change law of the accumulated water in the tunnel and further optimize the judgment model.

[0063] The calculation combining dynamic data with theory refers to comparing the simulation results of the dynamic fluid mechanics model with the theoretical water level drop calculation to verify the reliability of the calculation model. When there is a large deviation between the actual monitoring data and the simulation results, the model parameters (such as fluid viscosity, tunnel roughness, etc.) are adjusted to improve the matching degree.

[0064] The core formula of the dynamic fluid dynamics model is based on the Navier-Stokes equations:

[0065]

[0066] Where: ρ is the fluid density (in kg / m 3 ); v is the velocity vector (in m / s); t is the time; p is the pressure (in Pa); μ is the fluid viscosity (in Pa·s); F is the external force (such as gravity) (in N); is the gradient operator, is the Laplace operator.

[0067] The description of the temperature parameter is to introduce the temperature gradient term into the equation to express the influence of the temperature gradient on the fluid density and flow characteristics;

[0068] The description of the pressure parameters is determined by experimentally determining the relationship ρ=f(p,T) by considering the dynamic changes of pressure p and fluid density ρ with position and time;

[0069] The improved formula is:

[0070]

[0071] Where: k T is the thermal conductivity of the fluid, with the unit of W / (m·K), and T is the temperature field, representing the temperature distribution in the fluid.

[0072] Step 6: Combine the water level changes obtained from real-time monitoring with the calculated theoretical water level changes to make further judgments on the connectivity of the tunnel area. Finally, a comprehensive analysis of the physical and chemical composition analysis and drainage water level changes is conducted to make a final evaluation of the connectivity of the tunnel area in the monocline room-and-pillar water-filled re-mining area.

[0073] According to the following Figure 1 The specific embodiments shown are further described to illustrate the present application.

[0074] 1. Collect geological data

[0075] First, it is necessary to clarify the basic situation of the coal seam in the re-mining area, including the coal seam floor contour, coal seam thickness, water accumulation in the re-mining area, coal seam boundary and other information. For example, the No. 15 coal seam in a certain experimental mine has been mined in a room-and-pillar manner. The coal seam is a nearly horizontal coal seam. α is the average inclination of the monocline coal seam. The nearly horizontal coal seam is 0°. The average thickness of the coal seam is 6.5m. The historical mining height is 2.5m to 3m. The historical recovery rate is 17%. The coal seam is buried at a depth of 80 to 200m. The length and width of the remaining coal pillars are both about 20m. It has been found that the re-mining area is completely filled with water, with a strike length of 2000m and a dip length of 500m. The current mine drainage capacity is 2000m. 3 / h, the initial water temperature is 25℃, and the underground ambient temperature is 18℃.

[0076] 2. Regional drilling layout design

[0077] According to the geological data collected and detected, the drainage boreholes 3 and the detection boreholes 1 are arranged and designed in different regions of the coal seams in the re-mining area. Figure 1 A row of drainage boreholes 3 are uniformly constructed on the coal seam floor, and detection boreholes 1 are uniformly constructed in other parts of the coal seam. The area is randomly divided first, and in this embodiment, it is divided into area 1 2 and area 2 4. According to the drilling area layout design plan, drainage boreholes and detection boreholes are constructed in the mono-slant room-pillar complex mining area.

[0078] 3. Calculation of total water accumulation and theoretical water level drop rate

[0079] The total amount of water accumulated in the re-mining area was estimated based on the historical mining conditions of the monocline room-and-pillar re-mining area, and the theoretical changes in the water level during the drainage process were preliminarily estimated in combination with the mine's drainage capacity (the power of the water pump).

[0080] In this estimation, since the amount of water accumulated in the re-mining area is much greater than the subsequent real-time water inflow in the re-mining area, the dynamic impact of the water inflow on the water accumulation in the re-mining area is not considered; since the re-mining area is completely filled with water, the water accumulation space capacity of the re-mining area can be used to estimate the total amount of water accumulated in the re-mining area. The water accumulation capacity of the re-mining area can be estimated based on the historical mining conditions of the coal seam. According to the existing data, the historical recovery rate of the No. 15 coal seam is 17%, and the water accumulation volume in the re-mining area accounts for 17% of the total volume of the coal seam. Therefore, the total amount of water accumulated in the re-mining area of ​​the No. 15 coal seam can be calculated as:

[0081] W=η×H×S=17%×6.5×2000×500=1.105×10 6 m 3 ;

[0082] The equivalent total width L of the historical mining tunnel is calculated by the total volume of water W, the historical mining height h of the coal seam, and the coal seam dip length l. In this embodiment, the historical mining height h of the coal seam is taken as 2.8 meters, then:

[0083]

[0084] In this embodiment, the mine drainage capacity can be taken as 2000m 3 / h, the rate of water level drop is:

[0085]

[0086] 4. Sampling and analysis

[0087] The accumulated water in different areas was sampled and analyzed for its physical and chemical composition. The results of the analysis were used to make a preliminary judgment on the regional connectivity of the tunnels in the monocline room-and-pillar water-filled re-mining area.

[0088] Physical and chemical analysis was carried out on the accumulated water samples taken from different areas to obtain their basic physical and chemical parameters, including density, chemical composition, microbial conditions and other data.

[0089] The physical and chemical parameters of accumulated water in different areas are compared. Areas with similar parameters can be preliminarily identified as connected areas, while areas with parameters that are significantly different from those of adjacent areas are classified as disconnected areas.

[0090] 5. Real-time monitoring

[0091] Carry out drainage work in the mono-slope room-and-pillar water-filled re-mining area, and monitor the changes in drainage water level and the flow rate of water in the re-mining area in real time;

[0092] The connectivity of the tunnel area is further judged by combining the water level changes obtained from real-time monitoring and the calculated theoretical water level changes.

[0093] According to the test results, the water level drop rate in area 24 is abnormal, and the judgment result is further corrected by the improved equation:

[0094] According to the calculation results and monitoring results, if the calculation results are basically consistent with the monitoring results, such as Figure 2 As shown in the figure, the tunnel connectivity in the re-mining area is good; the speed of water level drop is greater than the calculated result, such as Figure 3 As shown in the situation, the velocity calculation results of the improved equation are further compared with the velocity monitoring results to determine that the connectivity of the tunnels in the re-mining area in this area is poor, and the area is divided into a non-connected area 5.

[0095] According to the monitoring results, the water level drop rate in area 24 is abnormal, and the judgment results are further corrected by the improved equation:

[0096]

[0097] In the formula, according to geological conditions, the influence of the external force term F is ignored, and the average burial depth is taken as 140m. In addition, since the water accumulation range in the re-mining area is large and the connectivity of the tunnels is not yet clear, the flow behavior of the water body in the tunnel during the drainage process is mainly driven by pumping and drainage, so the pressure gradient term is taken as:

[0098]

[0099] The dynamic viscosity of the water is μ = 1.002 × 10 -3 Pa·s, velocity gradient is 0.05m / s 2 , calculate the viscous force term:

[0100]

[0101] Temperature gradient term: Take Δx=25m, then:

[0102]

[0103] Assuming that the water flow in the re-mining area reaches a balanced state after 1 hour of drainage work, the water flow rate in the re-mining area is:

[0104]

[0105] Compare the results of the equations with the monitored water level changes to verify whether the tunnels are connected;

[0106] The monitored flow velocity of the water body in Area 24 is 0.0005 m / s, which is much smaller than the calculated flow velocity of the water body in the connected area. Therefore, it is further judged that the water body in Area 24 is a disconnected water body, and Area 24 is a disconnected area 5.

[0107] 6. Comprehensive analysis

[0108] A comprehensive analysis of the physical and chemical composition and changes in drainage water levels was conducted to make a final evaluation of the regional connectivity of the tunnels in the monocline room-and-pillar water-filled re-mining area.

[0109] This application analyzes the connectivity of water accumulation in the re-mining area from multiple angles, and makes a regional judgment on the connectivity of the tunnels in the re-mining area based on the results of multiple analyses. The judgment result has high reliability. Combined with the judgment result of the tunnel connectivity, it demarcates the areas that still have high risk of water accumulation after initial drainage work, provides warnings for subsequent re-mining work, and realizes the safe re-mining of the remaining coal pillars in the re-mining area.

[0110] This application improves the accuracy and reliability of judging the connectivity of the tunnels in the monocline room-and-pillar water-filled re-mining area by comprehensively applying a variety of technical means. Through physical and chemical analysis and real-time monitoring, the waterlogged area and its connectivity can be accurately identified, providing a scientific basis for re-mining work, reducing safety risks in the re-mining process, and improving economic benefits.

[0111] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit it. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for determining the connectivity of tunnels in a monocline room-and-pillar water-filled mining area, characterized in that: The following steps are involved: Step 1: Collect geological data of the monocline room-and-pillar water-filled mining area to be evaluated; Step 2: Design the regional drilling layout for the coal seams in the re-mining area based on geological data, and implement drainage drilling and detection drilling according to the designed regional drilling layout plan; Step 3: Estimate the total amount of water in the re-mining area based on the historical mining conditions of the monocline room-and-pillar water-filled re-mining area, and preliminarily estimate the theoretical water level drop rate during the drainage process based on the mine drainage capacity; Step 4: Sampling the accumulated water in different areas, and then conducting physical and chemical composition analysis, and making a preliminary judgment on the regional connectivity of the tunnels in the monocline room-and-pillar water-filled mining area based on the analysis results; Step 5: Drain the monocline room-and-pillar water-filled re-mining area, and monitor the changes in drainage water level and the flow rate, temperature and pressure of water in the re-mining area in real time. Further calculate the total amount of water in the re-mining area and the changes in the water level of each area based on the dynamic fluid mechanics model; The dynamic fluid mechanics model combines multiple parameters on the basis of the traditional static fluid mechanics model to realize the comprehensive analysis of the amount of accumulated water and the flow rate of accumulated water. Step 6: Combine the water level changes obtained from real-time monitoring and the calculated theoretical water level drop rate to further determine the connectivity of the tunnel area; finally, comprehensively analyze the physical and chemical composition analysis and drainage water level changes to make a final evaluation of the connectivity of the tunnel area in the monocline room-and-pillar water-filled mining area.

2. The method for determining the connectivity of tunnels in a monocline room-and-pillar water-filled mining area according to claim 1, characterized in that: In step 1, a preliminary evaluation is made on the water accumulation in the coal seams in the re-mining area based on the mining history of the coalfield and the geological data of nearby mines. For re-mining areas with no geological data or incomplete geological data, drilling projects or detection methods are required to supplement the geological data of the re-mining area.

3. The method for determining the connectivity of the tunnels in a monocline room-and-pillar water-filled mining area according to claim 1, characterized in that: The dynamic fluid mechanics model in step 3 is based on the Navier-Stokes equations and constructs a flow model of accumulated water in the tunnel to simulate flow velocity, pressure gradient and flow path. The dynamic fluid mechanics model sets boundary conditions and simulation scenarios, and also introduces temperature, pressure parameters and dynamic change laws, thereby improving the static fluid mechanics model.

4. The method for determining the connectivity of the tunnels in a monocline room-and-pillar water-filled mining area according to claim 3, characterized in that: Boundary conditions include: shape, inclination, roughness of the tunnel, and location and flow of drainage boreholes.

5. The method for determining the connectivity of the tunnels in a monocline room-and-pillar water-filled mining area according to claim 3, characterized in that: The simulation scenario takes into account different drainage rates, tunnel connectivity and the size of the waterlogged area to simulate the dynamic changes of water bodies in the tunnels and generate spatiotemporal distribution data of fluid flow.

6. The method for determining the connectivity of the tunnels in a monocline room-and-pillar water-filled mining area according to claim 3, characterized in that: The dynamic change law is revealed by real-time analysis of multi-dimensional data of temperature, pressure and flow rate of accumulated water, so as to further optimize the dynamic fluid mechanics model.

7. A method for determining the connectivity of tunnels in a monocline room-and-pillar water-filled mining area according to any one of claims 4 to 6, characterized in that: According to the comparison result of the simulation result of the dynamic fluid mechanics model and the theoretical water level drop rate, the parameters of the dynamic fluid mechanics model are adjusted to obtain the optimal model.

8. The method for determining the connectivity of the tunnels in a monocline room-and-pillar water-filled mining area according to claim 7, characterized in that: The expression of the dynamic fluid mechanics model is as follows: Where: ρ is the fluid density; V is the theoretical water level drop speed; v is the flow velocity vector; t is time; p is pressure; F is the external force; is the gradient operator; is the Laplace operator; k T is the thermal conductivity of the fluid; T is the temperature field.

9. A method for determining the connectivity of tunnels in a monocline room-and-pillar water-filled mining area according to claim 8, characterized in that: The calculation formula of the theoretical water level drop speed V is as follows: Where: l 走向 is the historical mining thickness of the coal seam; L is the equivalent total width of the historical mining tunnel; P is the mine drainage capacity; α is the average inclination angle of the monocline coal seam; in: Where: W is the total volume of accumulated water; l is the dip length of the coal seam.

10. A method for determining the connectivity of tunnels in a monocline room-and-pillar water-filled mining area according to claim 9, characterized in that: The calculation formula of the total volume of accumulated water W is as follows: W = η × H × S; Where: η is the historical recovery rate; H is the average thickness of the coal seam; S is the area of ​​the coal seam.

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