Coal-bearing stratum three-property and mining design linkage anti-impact earthquake control method

Abstract

The invention discloses a coal-bearing stratum three-property and mining design linkage anti-impact and seismic control method, which belongs to the technical field of coal mining, and specifically comprises the following steps: S1, collecting data, and classifying the collected data according to the physical property, the structural property and the occurrence, performing normalization processing on the classified data to obtain a plurality of corresponding physical indexes, structural indexes and occurrence indexes, performing multi-field coupling monitoring on the target mining area to obtain a plurality of dynamic monitoring coefficients, and performing weighted fusion on the plurality of physical indexes, structural indexes, occurrence indexes and dynamic monitoring coefficients to obtain a risk index R; dividing the mine area into a plurality of dangerous zones according to the R value; s2, formulating a corresponding three-property joint debugging strategy and a mining linkage scheme according to the dangerous zone; s3, three-property joint debugging operation is organized, and mining operation is conducted; the method can comprehensively and objectively characterize the mechanical characteristics, geologic structure characteristics and stress occurrence states of the coal and rock mass, and realizes accurate early warning grading of the mine area.

Description

Technical Field

[0001] This invention belongs to the field of coal mining technology, specifically relating to a method for preventing and controlling seismic shocks by linking the three properties of coal-bearing strata with mining design. Background Technology

[0002] As coal mining depths continue to increase in my country, mining activities are gradually extending to areas with more complex geological conditions. Against this backdrop, mine dynamic disasters, represented by mine tremors and rock bursts, have become major bottlenecks restricting the safe and efficient mining of deep coal resources. These disasters are characterized by their suddenness and high destructiveness, seriously threatening the safety of personnel and equipment underground, and potentially causing major production interruptions and enormous economic losses. Therefore, developing scientific and effective rock burst prevention and control technologies is an urgent need to achieve inherent safety and sustainable development in mines.

[0003] Currently, the mainstream methods for preventing and controlling rockbursts and seismic events in mines mainly revolve around two paths: optimizing mining layout and local direct treatment. Regarding mining layout, methods typically include merging mining areas, optimizing roadway layout to reduce or eliminate coal pillars, and following a specific mining sequence (such as top-down or strike-based advancement), or reducing the mining advance speed (e.g., reducing the advance speed from approximately 90m / month to ≤50m / month). The aim is to macroscopically avoid or reduce the formation of concentrated stress zones. In terms of direct treatment, for rockburst risks, methods such as coal seam water injection and construction decompression boreholes are mainly used to alter the physical and mechanical properties of the coal and rock mass to weaken its elastic energy accumulation capacity. For seismic risks, methods such as surface or underground hydraulic fracturing and blasting decompression are mainly relied upon, attempting to control the energy released by the movement of the overlying strata (especially thick, hard, and critical layers) by pre-fracture and weakening them.

[0004] Existing shock and vibration control methods rely on experience and single indicators for risk assessment, resulting in inaccurate risk identification and weak targeted measures, which often leads to poor shock and vibration control effects. Summary of the Invention

[0005] The technical problem to be solved by the present invention is to provide a method for preventing and controlling seismic shocks by linking the three properties of coal-bearing strata with mining design, in order to address the shortcomings of the prior art.

[0006] To solve the above-mentioned technical problems, the technical solution adopted by the present invention is: a method for preventing and controlling seismic shocks by linking the three properties of coal-bearing strata with mining design, specifically including the following steps: S1. Collect geological and mining data from the target mining area. Classify the collected data into three groups according to materiality, structure, and occurrence. Normalize each data point in the three groups to obtain multiple corresponding materiality indicators I. w Multiple structural indicators I jand multiple endowment indicators I f Simultaneously, multi-field coupled monitoring was conducted on the target mining area to obtain multiple monitoring data. These multiple monitoring data were then normalized to obtain multiple dynamic monitoring coefficients I. d For multiple materiality indicators I w Structural Indicators I j Endowment Index I f and dynamic monitoring coefficient I d The weighted fusion yields the risk index R, and the mine area is divided into risk zones of different risk levels based on the magnitude of the R value. S2. Based on the aforementioned hazardous zones, formulate corresponding three-dimensional joint adjustment strategies and mining linkage schemes that coordinate with the three-dimensional joint adjustment strategies; S3. Organize and conduct three-dimensional joint testing, and carry out mining operations according to the aforementioned mining linkage plan. During the mining operation, continuous multi-field coupling monitoring is conducted, based on the updated dynamic monitoring coefficient I. d The risk index R is updated in real time, and the mining coordination plan is reviewed and adjusted on a rolling basis.

[0007] Preferably, the material data in step 1 includes: the brittleness coefficient, elastic modulus, tensile / compressive strength ratio, fracture toughness, and water content / stress sensitivity of the coal and rock mass in the target mining area; The structural data includes: the span / thickness ratio of key layers in the coal and rock mass of the target mining area, the stiffness comparison of the hanging wall and footwall, the geometry of the goaf, and the density of faults / joints; The occurrence data includes: the burial depth of the coal and rock mass in the target mining area, the in-situ principal stress deviation, the gas pressure and content, the pore water pressure, and the ground temperature; Multi-field coupled monitoring data includes microseismic energy, energy growth rate, relative deviation rate, support load, roof delamination, and vibration velocity.

[0008] Preferably, the normalization process in step S1 is performed using formula (1) or formula (2); (1) (2) In formulas (1) and (2): Indicates the materiality index I obtained after normalization. w Or structural indicator I j Or endowment index I f Or dynamic monitoring coefficient I d , of The value ranges from 0 to 1; Indicates the original unprocessed first The measured value of a material indicator, structural indicator, endowment indicator, or dynamic monitoring coefficient; Indicates the first The maximum value of each indicator within this mine or within this assessment scope; Indicates the first The minimum value of each indicator in this mine or within this assessment scope; Formula 1 is used when the collected data values ​​are positively correlated with the risk level; Formula 2 is used when the collected data values ​​are negatively correlated with the risk level. Preferably, in step S1, the weighted fusion is performed using formulas (3) and (4); (3) In formula (3): Indicates the first The weights corresponding to each indicator; Indicates the first The expert weights corresponding to each indicator; Show the first The objective weights corresponding to each indicator; α is the weight adjustment coefficient, with a value ranging from 0.6 to 0.8; (4) In formula (4): R represents the risk index.

[0009] Preferably, step S1 divides the target mining area into four hazard level zones—red zone, orange zone, yellow zone, and green zone—according to the obtained hazard index R.

[0010] Preferably, the three-property regulation strategy in step S2 includes material regulation measures, structural regulation measures, and occurrence regulation measures. The material regulation measures include one or more of the following: water injection softening of coal and rock mass, grouting reinforcement / modification, and injection of chemical reagents to change the toughness and plasticity of coal and rock mass. The structural regulation measures include one or more of the following: segmented pre-fracture of key rock strata, the pre-fracture extending from within the strata to between the strata according to the design, and priority mining of protective layers when conditions permit. The occurrence regulation measures include one or more of the following: joint decompression, directional slotted blasting, and hydraulic fracturing to reshape the stress path. The mining linkage scheme generated in step S2 includes at least upper and lower limit control lines for mining advance speed.

[0011] Preferably, in step S3, for red and orange zones, the three-dimensional joint adjustment measures must be completed first and the risk level must be confirmed to have been reduced or met before mining operations can proceed. For yellow and green zones, mining operations are dynamically adjusted based on real-time monitoring data.

[0012] Preferably, the multi-field coupling monitoring indicators in step S3 include at least one of microseismic / acoustic emission energy, vibration velocity, surrounding rock stress, roof delamination, roadway deformation, support load, and gas and pore water pressure.

[0013] Preferably, the rolling review and adjustment in step S3 specifically includes: when the dynamic monitoring data exceeds a preset threshold, the threshold is determined according to the coal mine safety regulations, the three-dimensional joint adjustment strategy and the mining linkage scheme are re-optimized, and the latest mining linkage scheme is obtained to achieve an engineering-level closed loop.

[0014] Preferably, after mining is completed, the comprehensive risk index R and risk zoning map of the target mining area are updated, and the indicators corresponding to the three-dimensional joint adjustment strategy implemented this time, the mining linkage plan, and the latest linkage plan are recorded in the standardized experience database.

[0015] Compared with the prior art, the present invention has the following advantages: 1. This invention provides a method for linking the three properties of coal-bearing strata with mining design to prevent erosion and control seismic activity. This method achieves multi-dimensional and quantitative accurate risk assessment. Specifically, this invention effectively overcomes the limitations of existing technologies that heavily rely on single indicators or subjective experience. By constructing a multi-dimensional evaluation index system covering materiality, structure, and occurrence, and combining it with weighted fusion processing of multi-field coupled monitoring data, a comprehensive risk index R is calculated. This technical solution can comprehensively and objectively characterize the mechanical properties, geological structural features, and stress occurrence state of coal and rock masses, thereby achieving accurate four-level (red, orange, yellow, and green) early warning classification for mining areas. 2. This invention provides a method for preventing and controlling erosion in coal-bearing strata by linking three properties with mining design. This method breaks the traditional situation where erosion prevention measures and mining plans are separated and treatment is only used as a post-event remedy. It integrates the three-property adjustment strategy (water injection, pressure relief, pre-fracturing, etc.) with the mining linkage scheme (advance speed, working face parameters, support strength, etc.) in advance for coordinated optimization. This linkage mechanism ensures that erosion prevention measures can be dynamically adjusted according to mining parameters, and also enables mining design to adapt to geological risks. It maximizes mining capacity while ensuring safety, and avoids production delays and cost waste caused by blind treatment or over-treatment. 3. The present invention provides a method for shock and seismic control that links the three properties of coal-bearing strata with mining design. By implementing multi-field coupled monitoring throughout the entire cycle, the risk index is refreshed using real-time updated monitoring data, and rolling review and adjustment are triggered according to preset thresholds. This dynamic response mechanism of monitoring-evaluation-adjustment enables the system to adapt to the complex and ever-changing geological environment underground, respond promptly to sudden stress concentrations and energy releases, and ensure that shock prevention measures always effectively cover the mining disturbance area. 4. This invention provides a method for linking the three properties of coal-bearing strata with mining design to prevent and control rock erosion. By evaluating the implementation effect after mining is completed and recording the related indicators, optimization schemes and measured results in a standardized experience base, knowledge accumulation and reuse are realized. This provides a replicable and sustainable technical blueprint for rock erosion prevention design in mines under similar geological conditions, and promotes the development of mine rock erosion prevention management towards intelligence and standardization.

[0016] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description

[0017] Figure 1 This is a flowchart of a method for linking the three properties of coal-bearing strata with mining design to prevent erosion and control seismic activity, according to the present invention. Detailed Implementation

[0018] like Figure 1 As shown, the present invention provides a method for linking the three properties of coal-bearing strata with mining design to prevent erosion and control seismic activity, which specifically includes the following steps: S1. Collect geological and mining data of the target mining area, classifying them according to materiality, structure, and occurrence. Materiality data includes: brittleness index B (30–70), elastic modulus E (GPa, 2.0–8.0), tensile / compressive ratio ρ. tc =σ t / σ c (0.05–0.15), fracture toughness K IC (0.5–1.5), water saturation S w (0.10–0.80); Structural data: critical layer span / thickness ratio λ k =L k / h k (10–40) Deviation κ′ in the comparison of stiffness between the upper and lower plates E =|E u / E l 1|(0–1.5), Fault / Joint Density J v (1.0–6.0), Effective overhang width W eff (0–60), nearest fault distance D f (0–200); Attribute data: burial depth H (400–1000), in-situ principal stress deviation Δσ=σ1 σ3 (10–25), gas pressure pg (0.2–1.2), gas content Wg (4–12), pore water pressure u (0–1.5), geothermal temperature Tg (25–45); multi-field coupled dynamic monitoring data: microseismic energy Er (50–250), energy growth rate E r =dEr / dt(0–60), relative deviation rate I m (0.10–0.90), support load ratio θ s =R s / R rated (0.60–1.10), Top plate delamination δ sep (0–25), peak particle velocity PPV (20–200); the classified material data, structural data and endowment data are normalized by formula (1) or formula (2) to obtain the corresponding multiple indicators, as follows: (1) (2) Materiality index vector I w =[I w1 I w2 ,...] Normalization results: Brittleness index B: I w1 =(62 30) / (70 30) = 0.800 Elastic modulus E: I w2 =(6.8 2.0) / 6.0=0.800 Tensile / compressive ratio ρ tc :I w3 (Reverse) = (0.15) 0.08) / 0.10=0.700 Fracture toughness K IC :I w4 (Reverse) = 0.600 Water saturation S w :I w5 (Reverse) = (0.80) 0.35) / 0.70≈0.643 I w =[0.800, 0.800, 0.700, 0.600, 0.643] Structural index vector I j =[I j1 I j2 ,...] Normalized results (J_v and D_f are reversed to reflect that more fractures / closer distances mean greater danger): Key layer span / thickness ratio λ k :I j1 =(28 10) / 30=0.600 Deviation κ′ in the stiffness comparison between the upper and lower plates E :I j2 =0.8 / 1.5≈0.533 Fault / Joint Density J v :I j3 (Reverse) = (6.0) 2.5) / 5.0=0.700 Effective overhang width W eff :I j4 =40 / 60=0.667 The nearest fault distance D f :I j5 (reverse) = (200) 70) / 200=0.650I j =[0.600, 0.533, 0.700, 0.667, 0.650] Endowment index vector I f =[I f1 I f2 ,...] Normalization results (all positive): Burial depth H: I f1 =(820 400) / 600=0.700 In-situ principal stress deviation Δσ: I f2 =(19 10) / 15=0.600 Gas pressure pg: I f3 =(0.85 0.2) / 1.0=0.650 Gas content Wg:I f4 =(9 4) / 8 = 0.625 Pore ​​water pressure u: I f5 =0.60 / 1.5=0.400 Geothermal Tg: I f6 =(39 25) / 20=0.700 I f =[0.700, 0.600, 0.650, 0.625, 0.400, 0.700] Simultaneously, multi-field coupled monitoring was conducted on the target mining area, and multiple dynamic monitoring coefficients I were obtained through monitoring. d Multi-field coupled dynamic monitoring coefficient I d =[I d1 I d2 ,...]; Normalization results (all positive): Microseismic energy Er: I d1 =(160 50) / 200=0.550 Energy growth rate E r :I d2 =28 / 60≈0.467 Relative deviation rate I m :I d3 =(0.55 0.10) / 0.80=0.563 Support load ratio θ s :I d4 =(0.92 0.60) / 0.50=0.640 Top plate delamination δ sep :I d5 =12 / 25=0.480 Peak particle velocity (PPV): I d6 =(120 20) / 180≈0.556 I d =[0.550, 0.467, 0.563, 0.640, 0.480, 0.556] For multiple materiality indicators I w Structural Indicators I j Endowment Index I f and dynamic monitoring coefficient I d The risk index R is obtained by weighted fusion according to formulas (3) and (4). The mine area is divided into risk zones with different risk levels according to the value of R. (3) In formula (3): This represents the weight corresponding to the i-th indicator; This represents the expert weight corresponding to the i-th indicator; Let α represent the objective weight corresponding to the i-th indicator; α = 0.6–0.8; (4) In formula (4): R represents the risk index.

[0019] Pick Expert weight (Total = 1) The values ​​are allocated to individual indicators according to their properties: materiality 0.30, structure 0.25, existence 0.25, and dynamic monitoring 0.20. The specific values ​​are shown in Table 1 below. Table 1

[0020] The corresponding result is: I i ={0.80, 0.80, 0.70, 0.60, 0.643, 0.6, 0.533, 0.7, 0.667, 0.65, 0.7, 0.6, 0.65, 0.625, 0.4, 0.7, 0.55, 0.467, 0.563, 0.64, 0.48, 0.556}; w={0.069636, 0.062636, 0.055636, 0.048636, 0.041636, 0.0696636, 0.055636, 0.055636, 0.034636, 0.027636, 0.04863 6, 0.062636, 0.048636, 0.034636, 0.034636, 0.027636, 0.055636, 0.041636, 0.041636, 0.034636, 0.027636, 0.020636} Multiply each term according to formula (3) and then add them together: 1. 0.069636 × 0.80 = 0.055709 Total: 0.055709 2. 0.062636 × 0.80 = 0.050109 Cumulative: 0.105818 3. 0.055636 × 0.70 = 0.038945 Cumulative: 0.144763 4. 0.048636 × 0.60 = 0.029182 Cumulative: 0.173944 5. 0.041636 × 0.643 = 0.026772 Cumulative: 0.200716 6. 0.069636 × 0.60 = 0.041782 Cumulative: 0.242498 7. 0.055636 × 0.533 = 0.029654 Cumulative: 0.272152 8. 0.055636 × 0.70 = 0.038945 Cumulative: 0.311097 9. 0.034636 × 0.667 = 0.023102 Cumulative: 0.334199 10. 0.027636 × 0.65 = 0.017963 Total: 0.352162 11. 0.048636 × 0.70 = 0.034045 Total: 0.386207 12. 0.062636 × 0.60 = 0.037582 Cumulative: 0.423789 13. 0.048636 × 0.65 = 0.031613 Cumulative: 0.455402 14. 0.034636 × 0.625 = 0.021648 Total: 0.477050 15. 0.034636 × 0.40 = 0.013854 Cumulative: 0.490904 16. 0.027636 × 0.70 = 0.019345 Total: 0.510249 17. 0.055636 × 0.55 = 0.030600 Cumulative: 0.540849 18. 0.041636 × 0.467 = 0.019444 Total: 0.560293 19. 0.041636 × 0.563 = 0.023441 Cumulative: 0.583734 20. 0.034636 × 0.64 = 0.022167 Total: 0.605901 21. 0.027636 × 0.48 = 0.013265 Total: 0.619166 22. 0.020636 × 0.556 = 0.011474 Total: 0.630641 =0.630641 (≈0.631) According to Table 2, the hazard level of this mining area is classified as orange. Table 2

[0021] S2. For orange danger zones, specify corresponding enhanced three-dimensional joint debugging strategies and mining linkage schemes. The enhanced three-pronged approach, tailored to the geological characteristics of high-risk areas, employs a robust support strategy centered on high-flow-rate water injection for wetting, intensified pressure relief, and precise directional fracturing. Specifically, this includes: High-flow-rate water injection humidification: The design standard for water injection humidification is 80m³ / hole, which is significantly higher than that of conventional areas. By increasing the water injection volume, the coal body is softened sufficiently, reducing its elastic energy accumulation capacity. At the same time, local transition grouting is implemented in specific areas to reinforce weak rock layers or seal cracks. Densified pressure relief hole layout: A more sparse pressure relief hole network is designed, shortening the hole spacing to 4m. The high-density hole layout enables full pressure relief and stress transfer of the coal body. Precision directional fracturing and key layer control: Design necessary segmented directional fracturing schemes, set the fracturing pressure P to 10MPa, precisely modify the coal and rock mass, and at the same time implement local segmented pre-fracturing treatment for key layers of the roof, focusing on directional weakening of key span sections, thereby controlling the roof fracture step distance and avoiding strong dynamic loads caused by large-area roof suspension. The mining coordination plan, based on strengthened geological safeguards, adopts a conservative design for mining operation parameters to reduce mining disturbance, as detailed below: Propulsion speed control: Set strict speed limits to ensure that the actual propulsion speed v satisfies v ≤ v opt 0.4~0.6 m / d (where vopt is the theoretical optimal advance rate), that is, actively reducing the mining speed to 0.4 to 0.6 m / d below the optimal speed, allowing sufficient time for stress release by slowing down the mining speed; setting the theoretical optimal advance rate v opt =5.0 m / d; Working face parameter optimization: Implement a face length shortening strategy, shorten the working face length by 10-20m based on the conventional design, reduce the working face span to reduce the stress concentration of the surrounding rock, and keep the mining height parameter stable or slightly adjusted according to the geological conditions; High-strength support and step spacing optimization: The support strength is increased by 15% on the basis of conventional support to enhance the system's impact resistance; at the same time, the support step spacing is shortened by 0.2m, and the stability of roof management is improved by increasing the support density, ensuring a safe working environment under low-speed advance. S3. Organize the three-property ... To ensure a smooth stress transition during the mining process, the mining operation is divided into three time sequences and managed in separate zones, as follows: A-zone: Joint commissioning zone (preparation period) Timeline setting: Set at the beginning of the operation or at the initial stage of major adjustments, with a duration of 2–5 days; Implementation content: Within this zone, the focus is on the joint commissioning of geology and mining, specifically including verifying the effect of water injection wetting, checking the development of pressure relief holes and pre-splitting fractures, and fine-tuning the cutting parameters of the coal mining machine and the initial support force of the hydraulic support based on the initial monitoring data. Zone A aims to eliminate early uncertainties and create conditions for subsequent regular cycles. B-band: Stability window (observation period) Timing settings: Immediately following the A band, set a stable window of 48–72 hours; Implementation content: During this period, the operating parameters are kept constant, and high-density, multi-field coupled monitoring is mainly carried out. This stability window serves as a safety gate for entering normal production. Only when the monitoring indicators do not show abnormal fluctuations within 48–72 hours and the surrounding rock is confirmed to be stable can the operation be allowed to move to zone C. Otherwise, it should continue to stay in zone B or return to zone A for reprocessing. C-belt: Steady-speed propulsion belt (production period) Progress method: After passing the acceptance test of zone B, proceed to zone C for regular mining operations; Speed ​​control: Adopt a steady speed or small step advance mode, strictly control the advance rate, and ensure that the instantaneous advance speed v ≤ 0.2m / h. The key point at this stage is to maintain the smooth release of mining stress and avoid stress concentration due to excessive advance. During the aforementioned segmented advancement process, multi-field coupling monitoring is continuously performed, and strict dynamic triggering criteria and hierarchical response strategies are set. The following key indicators will be calculated and monitored in real time. A risk warning (limit exceeded) will be issued if any indicator meets the following conditions: Microseismic b-value criterion: A b-value ≥ 0.60 in the monitored microseismic sequence indicates an abnormal distribution of microfracture scale within the rock mass; Energy level criterion: The energy level Er of the monitored microseismic events shows a trend towards entering the strong or extremely strong level, such as when the energy of the monitored microseismic events Er ≥ 10. 5 J (strong seismic machine level) suggests a risk of large energy release; If any of the above criteria exceeds the limit, the system will automatically trigger a joint commissioning and downgrade response; immediately execute a deceleration command to reduce the advance speed, specifically by reducing the daily advance speed by 0.8 m / d, thereby suppressing dynamic manifestation by reducing mining intensity; densify and relieve pressure: immediately execute densification of pressure relief holes, reduce the hole spacing and increase the number of boreholes based on the existing hole network to promote secondary release of coal stress; strengthen pre-fracturing: based on the stress location feedback from monitoring, if necessary, add one stage of directional pre-fracturing blasting or hydraulic fracturing operation; or increase the injection volume of fracturing fluid (or energy) by 20% based on the original design to forcibly destroy the integrity of the key roof layer and cut off the energy transfer path; S4. After mining is completed, conduct an effect assessment on the implemented area, update the comprehensive risk index R and risk zoning map based on the assessment results, and record the associated indicators, assessment indicators, optimized mining linkage schemes and the latest linkage schemes of this implementation into the standardized experience library to support the replication and continuous optimization of the schemes.

[0022] The above description is merely a preferred embodiment of the present invention and does not constitute any limitation on the present invention. Any simple modifications, alterations, or equivalent structural changes made to the above embodiments based on the technical essence of the present invention shall still fall within the protection scope of the present invention.

Claims

1. A method for linking the three properties of coal-bearing strata with mining design to prevent erosion and control seismic activity, characterized in that, Specifically, the steps include the following: S1. Collect geological and mining data from the target mining area. Classify the collected data into three groups according to materiality, structure, and occurrence. Normalize each data point in the three groups to obtain multiple corresponding materiality indicators I. w Multiple structural indicators I j and multiple endowment indicators I f Simultaneously, multi-field coupled monitoring was conducted on the target mining area to obtain multiple monitoring data. These multiple monitoring data were then normalized to obtain multiple dynamic monitoring coefficients I. d For multiple materiality indicators I w Structural Indicators I j Endowment Index I f and dynamic monitoring coefficient I d The weighted fusion yields the risk index R, and the mine area is divided into risk zones of different risk levels based on the magnitude of the R value. S2. Based on the aforementioned hazardous zones, formulate corresponding three-dimensional joint adjustment strategies and mining linkage schemes that coordinate with the three-dimensional joint adjustment strategies; S3. Organize and conduct three-dimensional joint testing, and carry out mining operations according to the aforementioned mining linkage plan. During the mining operation, continuous multi-field coupling monitoring is conducted, based on the updated dynamic monitoring coefficient I. d The risk index R is updated in real time, and the mining coordination plan is reviewed and adjusted on a rolling basis.

2. The method for linking the three properties of coal-bearing strata with mining design for earthquake and erosion control according to claim 1, characterized in that, The material data mentioned in step 1 include: the brittleness coefficient, elastic modulus, tensile / compressive strength ratio, fracture toughness, and water content / stress sensitivity of the coal and rock mass in the target mining area; The structural data includes: the span / thickness ratio of key layers in the coal and rock mass of the target mining area, the stiffness comparison of the hanging wall and footwall, the geometry of the goaf, and the density of faults / joints; The occurrence data includes: the burial depth of the coal and rock mass in the target mining area, the in-situ principal stress deviation, the gas pressure and content, the pore water pressure, and the ground temperature; Multi-field coupled monitoring data includes microseismic energy, energy growth rate, relative deviation rate, support load, roof delamination, and vibration velocity.

3. The method for linking the three properties of coal-bearing strata with mining design for earthquake and erosion control according to claim 1, characterized in that, The normalization process in step S1 is performed using formula (1) or formula (2); （1） （2） In formulas (1) and (2): I i Indicates the materiality index I obtained after normalization. w Or structural indicator I j Or endowment index I f Or dynamic monitoring coefficient I d , I i of The value ranges from 0 to 1; Indicates the original unprocessed first The measured value of a material indicator, structural indicator, endowment indicator, or dynamic monitoring coefficient; Indicates the first The maximum value of each indicator within this mine or within this assessment scope; Indicates the first The minimum value of each indicator in this mine or within this assessment scope; Formula 1 is used when the collected data values ​​are positively correlated with the risk level; Formula 2 is used when the collected data values ​​are negatively correlated with the risk level.

4. The method for linking coal-bearing strata properties with mining design for earthquake and erosion control according to claim 1, characterized in that, The weighted fusion in step S1 is calculated using formulas (3) and (4); （3） In formula (3): Indicates the first The weights corresponding to each indicator; Indicates the first The expert weights corresponding to each indicator; Show the first The objective weights corresponding to each indicator; α is the weight adjustment coefficient, with a value ranging from 0.6 to 0.8; （4） In formula (4): R represents the risk index.

5. The method for linking the three properties of coal-bearing strata with mining design for earthquake and erosion control according to claim 1, characterized in that, Step S1, based on the obtained risk index R, divides the target mining area into four risk level zones in descending order of risk level: red zone, orange zone, yellow zone, and green zone.

6. The method for linking coal-bearing strata properties with mining design for earthquake and erosion control according to claim 5, characterized in that, The three-property regulation strategy in step S2 includes material regulation measures, structural regulation measures, and occurrence regulation measures. The material regulation measures include one or more of the following: water injection to soften the coal and rock mass, grouting reinforcement / modification, and injection of chemical reagents to change the toughness and plasticity of the coal and rock mass. The structural regulation measures include one or more of the following: segmented pre-fracture of key rock strata, the pre-fracture extending from within the strata to between the strata according to the design, and priority mining of the protective layer when conditions permit. The occurrence regulation measures include one or more of the following: joint decompression, directional slotted blasting, and hydraulic fracturing to reshape the stress path. The mining linkage scheme generated in step S2 includes at least a control line for the mining advance speed.

7. The method for linking coal-bearing strata properties with mining design for earthquake and erosion control according to claim 1, characterized in that, In step S3, for red and orange zones, it is required to complete the three-dimensional joint adjustment measures and confirm that the hazard level has been reduced or met before proceeding with mining operations. For yellow and green zones, mining operations are dynamically adjusted based on real-time monitoring data.

8. The method for linking coal-bearing strata properties with mining design for earthquake and erosion control according to claim 7, characterized in that, The multi-field coupling monitoring indicators in step S3 include at least one of the following: microseismic / acoustic emission energy, vibration velocity, surrounding rock stress, roof delamination, roadway deformation, support load, and gas and pore water pressure.

9. A method for linking the three properties of coal-bearing strata with mining design for earthquake and erosion control according to claim 8, characterized in that, The rolling review and adjustment in step S3 specifically includes: when the dynamic monitoring data exceeds the preset threshold, the three-in-one adjustment strategy and mining linkage scheme are re-optimized to obtain the latest mining linkage scheme and realize the engineering-level closed loop, wherein the threshold is determined according to the coal mine safety regulations.

10. A method for linking the three properties of coal-bearing strata with mining design for earthquake and erosion control according to claim 8, characterized in that, After mining is completed, update the comprehensive risk index R and risk zoning map of the target mining area, and record the indicators corresponding to the three-dimensional joint adjustment strategy implemented this time, the mining linkage plan, and the latest linkage plan into the standardized experience database.

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