A method and system for identifying parameters of a complex structure induced by water inrush and mining in a coal mine

Abstract

The present application belongs to the technical field of complex structure parameter identification, and particularly relates to a coal mine mining water inrush induced bumping complex structure parameter identification method and system. The method comprises the following steps: constructing a multi-physics field numerical model by using a numerical simulation software; obtaining a physical quantity to be studied of a complex structure, and constructing a variable sequence based on a preset standard condition; obtaining an effective stable length of the complex structure based on the physical quantity to be studied and the multi-physics field numerical model; establishing a water inrush induced bumping identification model based on the variable sequence and the effective stable length, identifying a real-time stable length, and determining a water inrush-impact composite disaster risk of the complex structure. The present application can systematically evaluate the water inrush risk and induced bumping risk of the complex structure under the mining background, and provide a scientific basis for the prediction and early warning and engineering prevention and control of the water inrush-impact composite disaster of the complex structure region of the mine.

Description

Technical Field

[0001] This invention belongs to the field of complex structural parameter identification technology, specifically relating to a method and system for identifying complex structural parameters induced by water inrush during coal mining. Background Technology

[0002] For a long time, some mines and underground engineering projects operating in areas with complex geological structures have faced the combined risks of water inrush and rockbursts, which can easily lead to flooding of the working face, equipment damage, and casualties. Complex geological fracture zones, as important hydraulic channels between aquifers and mining spaces, have complex mechanical structures and significant differences in physical properties, making them highly susceptible to water inrush and rockbursts under the combined effects of mining disturbances and water pressure. However, existing methods for evaluating complex geological structures are mostly based on the individual analysis of hydrogeological parameters or mechanical indices, failing to comprehensively reflect the risks of water inrush and rockbursts induced by the combined effects of mining, water pressure, mechanical properties, and seepage characteristics.

[0003] In recent years, scholars have attempted to investigate the impact of pore pressure and permeability evolution on water inrush behavior in complex structures using numerical simulations and other methods. However, a comprehensive identification method that simultaneously considers mining activity, water pressure, porosity, permeability, and stress parameters is still lacking. Especially under mining disturbances, the dynamic evolution of the permeable structure and changes in effective stress in complex structures can significantly affect the connectivity of water inrush channels, thereby controlling the degree of induced flushing. Currently, there is no quantitative identification model or calculation formula to evaluate the conditions for water inrush-induced flushing in complex structures. Therefore, it is urgent to study the identification mechanism of complex structural morphology based on multi-factor coupling and establish its quantitative identification formula to provide a theoretical basis for the occurrence of complex structural disasters. Summary of the Invention

[0004] To address the problems existing in the prior art, this invention provides a method and system for identifying parameters of complex structures induced by mining-induced water inrush and rockburst. The aim is to systematically assess the risks of water inrush and rockburst in complex structures under mining conditions, and to provide a scientific basis for the prediction, early warning, and engineering prevention of combined water inrush and rockburst disasters in complex mining areas.

[0005] To achieve the above objectives, the present invention provides the following solution: A method for identifying parameters of complex geological structures induced by water inrush during coal mining, the method comprising: Numerical simulation software is used to construct multiphysics numerical models; Obtain the physical quantities to be studied with complex structures, and construct a variable sequence based on preset standard conditions; Based on the physical quantities to be studied and the numerical model of multiphysics fields, the effective stable length of complex structures is obtained. Based on variable sequences and effective stable length, a water inrush-induced impact identification model is established to identify real-time stable length and determine the risk of water inrush-impact combined disasters in complex structures.

[0006] Preferably, the physical quantities to be studied include: vertical stress, pore water pressure, porosity, elastic modulus, permeability, and the distance between the working surface and the complex structure.

[0007] Preferably, methods for establishing a water inrush-induced impact identification model based on variable sequences and effective stable lengths, identifying real-time stable lengths, and determining the risk of combined water inrush-impact disasters in complex structures include: Plot a scatter plot showing the relationship between the variable sequence and the effective stable length. Obtain the average influence based on the relationship scatter plot; Based on the average impact degree, a comprehensive characterization formula for effective stable length is formed, and a water inrush induced erosion identification model is obtained. Based on the water inrush-induced impact identification model, the real-time stable length is identified, and combined with a preset threshold, the risk of water inrush-impact combined disaster in complex structures is determined.

[0008] Preferred models for identifying sudden water inrush include: ; ; In the formula: L To effectively stabilize the length, For penetration rate, For vertical stress, The distance between the working face and the complex structure. Porosity For water pressure, Represents rock mass mechanical parameters. It is the elastic modulus.

[0009] The present invention also provides a coal mine mining-induced water inrush and induced impact complex structure parameter identification system. The system is used to implement the aforementioned method and includes: a model construction module, a first data acquisition module, a second data acquisition module, and an identification module. The model building module is used to construct multiphysics numerical models using numerical simulation software. The first data acquisition module is used to acquire the physical quantities to be studied with complex structures and to construct a variable sequence based on preset standard conditions; The second data acquisition module is used to obtain the effective stable length of complex structures based on the physical quantities to be studied and the multiphysics numerical model. The identification module is used to establish a water inrush-induced impact identification model based on variable sequences and effective stable lengths, identify real-time stable lengths, and determine the risk of water inrush-impact combined disasters in complex structures.

[0010] Preferably, the physical quantities to be studied include: vertical stress, pore water pressure, porosity, elastic modulus, permeability, and the distance between the working surface and the complex structure.

[0011] Preferably, the identification module includes: a drawing unit, an influence acquisition unit, a comprehensive representation unit, and an identification unit; The plotting unit is used to plot a scatter plot of the relationship between the variable sequence and the effective stable length. The influence acquisition unit is used to obtain the average influence based on the relationship scatter plot; The comprehensive characterization unit is used to form an effective stable length comprehensive characterization formula based on the average influence degree, and to obtain the water inrush induced impact identification model; The identification unit is used to identify the real-time stable length based on the water inrush induced impact identification model, and combined with a preset threshold, to determine the risk of water inrush-impact combined disasters in complex structures.

[0012] Preferred models for identifying sudden water inrush include: ; ; In the formula: L To effectively stabilize the length, For penetration rate, For vertical stress, The distance between the working face and the complex structure. Porosity For water pressure, Represents rock mass mechanical parameters. It is the elastic modulus.

[0013] Compared with the prior art, the beneficial effects of the present invention are as follows: This invention provides a method and system for identifying parameters of complex structures prone to water inrush and rockburst in coal mines. By establishing a composite disaster risk discrimination model, it quantitatively characterizes the probability of water inrush and rockburst instability induced by the hydraulic-mechanical coupling effect on complex structures. Specifically, it addresses the situation where water inrush is more likely to occur under high water pressure, while rockburst is more likely to occur under low water pressure, and the same parameter can cause different disaster characteristics. It comprehensively considers parameters such as vertical stress, water pressure, porosity, elastic modulus, permeability, and the distance between the working face and the complex structure, constructing a functional relationship between the effective stable length and the physical quantity under study, thus achieving a quantitative description of the hydraulic-mechanical failure mechanism of complex structures. Through multi-physics numerical model coupling solution, key indicators such as critical pore pressure and effective stress in complex structure areas can be effectively extracted, and a water inrush and rockburst identification formula under multi-factor coupling can be established. This invention can quantitatively describe the risk of water inrush and rockburst in complex structures, forming risk classification criteria. This is beneficial for the advance exploration, support and reinforcement parameters, and rational design of drainage schemes for water-rich complex structures in engineering, and has important guiding significance for preventing composite disasters of water inrush and rockburst in complex structures. Attached Figure Description

[0014] To more clearly illustrate the technical solution of the present invention, the drawings used in the embodiments are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0015] Figure 1 This is a flowchart of a method for identifying complex structural parameters induced by water inrush during coal mining, according to an embodiment of the present invention. Figure 2 This is a schematic diagram illustrating the effective stable length-permeability fitting function relationship in an embodiment of the present invention; Figure 3 This is a schematic diagram of the effective stable length-vertical stress fitting function relationship in an embodiment of the present invention; Figure 4 This is a schematic diagram of the effective stable length-porosity fitting function relationship in an embodiment of the present invention; Figure 5 This is a schematic diagram of the effective stable length-water pressure fitting function relationship in an embodiment of the present invention; Figure 6 This is a schematic diagram of the effective stable length-elastic modulus fitting function relationship in an embodiment of the present invention; Figure 7 This is a schematic diagram illustrating the relationship between the effective stable length, working surface, and distance fitting function of the complex structure in an embodiment of the present invention. Detailed Implementation

[0016] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0017] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0018] Example 1 This invention provides a method for identifying parameters of complex geological structures induced by mining-induced water inrush in coal mines, including: Numerical simulation software is used to construct multiphysics numerical models; Obtain the physical quantities to be studied with complex structures, and construct a variable sequence based on preset standard conditions; Based on the physical quantities to be studied and the numerical model of multiphysics fields, the effective stable length of complex structures is obtained. Based on variable sequences and effective stable length, a water inrush-induced impact identification model is established to identify real-time stable length and determine the risk of water inrush-impact combined disasters in complex structures.

[0019] like Figure 1 As shown, the specific implementation process of the present invention is as follows: (1) First, a two-dimensional plane stress-strain numerical model (multiphysics numerical model) was built using Comsol Multiphysics numerical simulation software, namely a complex structure-surrounding rock model. Engineering geological and physical parameters were input, and after verification, risk analysis of complex structures induced by water inrush was carried out.

[0020] A complex structure-surrounding rock model was established using numerical simulation software. Darcy's law and solid mechanics were selected as the physical fields, and engineering geological parameters (mechanical and hydrological parameters), including vertical stress, water pressure, and permeability, were input. Monitoring points were then deployed along the complex structure to monitor changes in pore water pressure and effective stress. The evolution of permeability and pore pressure was calculated by combining the real-time advancement of the working face with the spatial distance between the working face and the complex structure. The effective stress of the rock mass and the critical pore water pressure of the complex structure were compared. When the effective stress of the rock mass was greater than the critical pore water pressure of the complex structure, the complex structure was in a stable state, and there was no risk of water inrush and erosion. Conversely, when the effective stress was less than the critical pore water pressure, there was a risk of water inrush and erosion. Since a complex structure has different stress distributions at different locations, this invention introduces the variable of effective stable length, representing the length of the complex structure surface where the effective stress is greater than the critical pore water pressure, to quantitatively characterize the risk of water inrush and erosion in the complex structure.

[0021] (2) Select parameters that may affect the characteristics of water inrush and erosion in complex structures. This invention selects vertical stress. Water pressure Porosity Elastic modulus Penetration rate Distance between the working face and the complex structure As the physical quantity to be studied in the complex structure, different parameters are successively input into the multiphysics numerical model. The critical pore water pressure in the complex structural zone is calculated, and the effective stable length of the bottom plate water inrush is calculated as the model result by comparing it with the effective stress of the rock mass on the complex structural surface.

[0022] The following are the relevant formulas for determining the effective stable length: In the formula: Indicates the effective normal stress. Indicates the total normal stress. Indicates water pressure. Indicates the effective stress coefficient; In the formula: Indicates the shear strength of the rock mass. Indicates cohesion. Indicates the angle of internal friction. This represents the difference between the actual pore water pressure and the critical pore water pressure. Indicates the critical pore water pressure. A value greater than 0 indicates that there is no risk of sudden water inrush. A value less than 0 indicates a risk of sudden water inrush.

[0023] Vertical stress during production Water pressure can be obtained through in-situ testing of ground stress. The elastic modulus can be obtained through multi-point hydraulic gauges. The distance between the working face and the complex structure was obtained through drilling sampling and experiments. These are parameters that can be obtained in real time during the working face advancement, while porosity... and penetration rate These are parameters that cannot be obtained directly and need to be analyzed in real time based on the stress conditions. Among them, the original pores and the pores caused by mining are key factors that affect the changes in permeability and porosity.

[0024] The stress redistribution caused by mining processes has a significant impact on the pore structure of rock masses. Due to the compressive deformation of the coal and rock skeleton, porosity changes. According to relevant theoretical formulas, the change in porosity can be described by the following expression: In the formula: Indicates actual porosity; Indicates the limiting porosity under pressure; Indicates initial porosity; δ Indicates the pore stress sensitivity coefficient; This indicates the stress experienced by the rock mass.

[0025] The formula for calculating the pore stress sensitivity coefficient is as follows: In the formula: represents Poisson's ratio; E represents the elastic modulus.

[0026] The relationship between permeability and porosity is as follows: In the formula: Indicates the actual penetration rate; Indicates the initial porosity; The initial porosity and initial permeability can be obtained through drilling and sampling and experiments. Combined with the above theoretical formulas, the porosity and permeability of complex structures under different stress conditions can be obtained.

[0027] (3) Set standard conditions to control variables, such as: the spatial distance between the working face and the complex structure is 10 m, the vertical stress of the advancing distance is 12.5 MPa (based on the vertical stress of a burial depth of 500 m), the water pressure is 3 MPa, the porosity is 0.15, the elastic modulus is 10 GPa, the shear modulus, etc., as the benchmark working conditions for comparison.

[0028] Under standard conditions, a single physical quantity to be studied is changed while other conditions remain unchanged. For example, when studying the spatial distance between the working face and a complex structure, the distance is set to 0-30m; when studying the effect of vertical stress, the vertical stress range is set to 7.5-20 MPa (based on vertical stress at a burial depth of 300-800 m); when studying the effect of permeability, the permeability is set to 1×10⁻⁶. -18 -1×10 -12 m 2 When studying the effect of porosity, it was set to 0.05-0.35, elastic modulus to 1-5 GPa, and hydraulic head pressure to 2-10 MPa. A set of variable sequences was formed for each working condition.

[0029] Furthermore, a scatter plot of the relationship between the variable sequence and the effective stable length ("effective stable length – a certain physical quantity") is drawn, and function fitting is performed. The fitted R-squared value is selected. 2 The largest functional expression characterizes the mathematical relationship between the effective stable length and the physical quantity.

[0030] like Figure 2 As shown, with permeability as the research variable, a total of 7 groups of different elastic moduli were set, ranging from 1e to 11 m. 2 1e-12 m 2 ..., 1e-17 m 2 The effective stable length of the complex structure under different working conditions was calculated. A scatter plot of the relationship was plotted based on the simulation results, and the corresponding relationship curve was obtained. This curve was then fitted, and the resulting fitted function relationship is as follows: in, Indicates penetration rate The effective stable length affected.

[0031] Similarly, the effects of the remaining variables on the effective stable length are analyzed using the same method, such as... Figure 3 As shown, the fitting function relationship between the effective stable length and the vertical stress was studied. The fitting function relationship is as follows: in, Indicates vertical pressure The effective stable length affected.

[0032] The functional fitting relationships between the effective stable length and porosity, water pressure, elastic modulus, and the distance between the working surface and the complex structure are as follows: Figure 4 , Figure 5 , Figure 6 , Figure 7 As shown, the corresponding fitting function relationship is as follows: In the formula: L To effectively stabilize the length, This indicates the effective stable length affected by porosity. This indicates the effective steady length affected by water pressure. This represents the effective stable length affected by the elastic modulus. This represents the effective stabilization length affected by the distance between the working face and the complex structure, where... It represents the effective stability length of the average influence of different variables.

[0033] To analyze how six variables affect the effective stable length, this invention introduces the concept of influence degree, which is defined as follows: Figures 2-7 The effective stability length of the curve is the average instantaneous slope of the variable. The larger the slope, the greater the change in the effective stability length when the same variable difference is changed. The average influence is obtained by solving the average slope to compare the influence of the six factors on the effective stability length.

[0034] The average influence ratio of the six factors was calculated using the above method, and a sudden water inrush induced erosion identification model was established. The average influence ratio of the six factors on the effective stable length is as follows: Permeability: Vertical stress: Porosity: Water pressure: Elastic modulus: Distance between working surface and complex structure = 0.38: 0.21: 0.04: 0.15: 0.08: 0.14.

[0035] From this, we can derive the comprehensive characterization formula for effective stable length: The effective stable length can be expressed by the following formula: In the formula: For penetration rate, For vertical stress, Porosity For water pressure, For elastic modulus, This represents the distance between the working surface and the complex structure.

[0036] For a specific rock, whose elastic modulus is constant, the above formula can be simplified to: In the formula: Indicates rock mass mechanical parameters.

[0037] Based on the real-time stable length obtained by the water inrush induced impact identification model, combined with a preset threshold, the risk of water inrush-impact combined disaster for a complex structure can be determined.

[0038] A method for analyzing the risk of water inrush and erosion in complex structures based on seepage field and stress field is established. Real-time spatial distance between the working face and the complex structure, water pressure monitoring values, and rock mass physical parameters are input into the water inrush and erosion identification model. The effective stable length change of the complex structure is calculated in real time to obtain the real-time stable length. When the calculated real-time stable length is lower than a set threshold, it indicates a potential risk of water inrush and erosion in the complex structure, issuing an early warning signal and prompting engineering measures such as grouting reinforcement, pressure relief drilling, and advance water release to enhance the elastic modulus of the rock mass or reduce porosity, thereby improving the stability of the complex structure zone. However, when applying grouting pressure, the pore water pressure should be controlled to ensure that the real-time stable length meets the design requirements, thus simultaneously preventing water inrush and rockburst.

[0039] This invention addresses the problem that the mechanism of water inrush induced by complex structural zones in coal mines and underground engineering is jointly controlled by mining disturbance and seepage distribution, and that evaluation indicators for disaster occurrence are scattered and difficult to quantify uniformly. It proposes a method for identifying the morphology of water inrush induced by complex structural zones based on a two-field coupling mechanism of stress field-seepage field evolution influenced by mining disturbance and the activation of complex structures. This method takes typical complex structures such as faults, collapse columns, and joints as research objects, expressing the stress disturbance caused by mining, the weakening of structural zones, and the changes in pore water pressure. It comprehensively considers water pressure, vertical stress, porosity, elastic modulus, permeability, and the spatial distance between the working face and the complex structure. By identifying key control factors, a multi-parameter weighted model is constructed to quantitatively describe the sensitivity of complex structures to water inrush and induced rockburst. Through joint analysis of effective stress and pore pressure on complex structural surfaces, an effective stable length is proposed as a core indicator characterizing the stability of water inrush and induced rockburst in structures. This leads to a set of quantitative identification formulas for water inrush and induced rockburst inflows applicable to different types of complex structures, which can be applied to engineering practice, thus providing a risk parameter identification method for actual production. This invention can systematically assess the risks of water inrush and induced rockburst in complex structures under mining conditions, providing a scientific basis for the prediction, early warning, and engineering prevention of combined water inrush and rockburst disasters in complex mining areas.

[0040] In summary, this invention provides a method for identifying parameters of complex structures induced by water inrush during coal mining. By establishing a composite disaster risk discrimination model, it quantitatively characterizes the probability of water inrush and induced rockburst instability in complex structures under water-mechanical coupling. Specifically, considering the different disaster characteristics caused by the same parameter—water inrush is more likely to occur when water pressure is high, while rockburst is more likely to occur when water pressure is low—it comprehensively considers parameters such as vertical stress, water pressure, porosity, elastic modulus, permeability, and the distance between the working face and the complex structure. A functional relationship between the effective stable length and the physical quantity under study is constructed, achieving a quantitative description of the hydraulic-mechanical failure mechanism of complex structures. Through multi-physics numerical model coupling solution, key indicators such as critical pore pressure and effective stress in complex structural regions can be effectively extracted, establishing a water inrush-induced rockburst identification formula under multi-factor coupling. This invention can quantitatively describe the risk of water inrush and erosion in complex structures, and form risk classification criteria. It is beneficial for the advance exploration of water-rich complex structures, the rational design of support and reinforcement parameters and drainage schemes in engineering, and has important guiding significance for preventing combined disasters of water inrush and rockburst in complex structures.

[0041] Example 2 Based on the same inventive concept, the present invention also provides a coal mine mining-induced water inrush and induced impact complex structure parameter identification system, used to implement the method described in the foregoing embodiments. The system includes: a model building module, a first data acquisition module, a second data acquisition module, and an identification module. The model building module is used to construct multiphysics numerical models using numerical simulation software. The first data acquisition module is used to acquire the physical quantities to be studied with complex structures and to construct a variable sequence based on preset standard conditions; The second data acquisition module is used to obtain the effective stable length of complex structures based on the physical quantities to be studied and the multiphysics numerical model. The identification module is used to establish a water inrush-induced impact identification model based on variable sequences and effective stable lengths, identify real-time stable lengths, and determine the risk of water inrush-impact combined disasters in complex structures.

[0042] Furthermore, in this embodiment, the physical quantities to be studied include: vertical stress, pore water pressure, porosity, elastic modulus, permeability, and the distance between the working surface and the complex structure.

[0043] Furthermore, in this embodiment, the identification module includes: a drawing unit, an influence acquisition unit, a comprehensive characterization unit, and an identification unit; The plotting unit is used to plot a scatter plot of the relationship between the variable sequence and the effective stable length. The influence acquisition unit is used to obtain the average influence based on the relationship scatter plot; The comprehensive characterization unit is used to form an effective stable length comprehensive characterization formula based on the average influence degree, and to obtain the water inrush induced impact identification model; The identification unit is used to identify the real-time stable length based on the water inrush induced impact identification model, and combined with a preset threshold, to determine the risk of water inrush-impact combined disasters in complex structures.

[0044] Furthermore, in this embodiment, the flood inrush detection model includes: ; ; in, L To effectively stabilize the length, For penetration rate, For vertical stress, The distance between the working face and the complex structure. Porosity For water pressure, Represents rock mass mechanical parameters. It is the elastic modulus.

[0045] The embodiments described above are merely preferred embodiments of the present invention and are not intended to limit the scope of the present invention. Various modifications and improvements made to the technical solutions of the present invention by those skilled in the art without departing from the spirit of the present invention should fall within the protection scope defined by the claims of the present invention.

Claims

1. A method for identifying parameters of complex geological structures induced by water inrush during coal mining, characterized in that, The method includes: Numerical simulation software is used to construct multiphysics numerical models; Obtain the physical quantities to be studied with complex structures, and construct a variable sequence based on preset standard conditions; Based on the physical quantities to be studied and the numerical model of multiphysics fields, the effective stable length of complex structures is obtained. Based on variable sequences and effective stable length, a water inrush-induced impact identification model is established to identify real-time stable length and determine the risk of water inrush-impact combined disasters in complex structures.

2. The method according to claim 1, characterized in that, The physical quantities to be studied include: vertical stress, pore water pressure, porosity, elastic modulus, permeability, and the distance between the working surface and the complex structure.

3. The method according to claim 1, characterized in that, Based on variable sequences and effective stable lengths, a water inrush-induced impact identification model is established to identify real-time stable lengths. Methods for determining the risk of combined water inrush and impact disasters in complex structures include: Plot a scatter plot showing the relationship between the variable sequence and the effective stable length. Obtain the average influence based on the relationship scatter plot; Based on the average impact degree, a comprehensive characterization formula for effective stable length is formed, and a water inrush induced erosion identification model is obtained. Based on the water inrush-induced impact identification model, the real-time stable length is identified, and combined with a preset threshold, the risk of water inrush-impact combined disaster in complex structures is determined.

4. The method according to claim 3, characterized in that, The water inrush induced impact identification model includes: ； ； In the formula: L To effectively stabilize the length, For penetration rate, For vertical stress, The distance between the working face and the complex structure. Porosity For water pressure, Represents rock mass mechanical parameters. It is the elastic modulus.

5. A system for identifying parameters of complex geological structures induced by water inrush during coal mining, the system being used to implement the method described in any one of claims 1-4, characterized in that, The system includes: a model building module, a first data acquisition module, a second data acquisition module, and an identification module; The model building module is used to construct multiphysics numerical models using numerical simulation software. The first data acquisition module is used to acquire the physical quantities to be studied with complex structures and to construct a variable sequence based on preset standard conditions; The second data acquisition module is used to obtain the effective stable length of complex structures based on the physical quantities to be studied and the multiphysics numerical model. The identification module is used to establish a water inrush-induced impact identification model based on variable sequences and effective stable lengths, identify real-time stable lengths, and determine the risk of water inrush-impact combined disasters in complex structures.

6. The system according to claim 5, characterized in that, The physical quantities to be studied include: vertical stress, water pressure, porosity, elastic modulus, permeability, and the distance between the working surface and the complex structure.

7. The system according to claim 5, characterized in that, The identification module includes: a drawing unit, an influence acquisition unit, a comprehensive representation unit, and an identification unit; The plotting unit is used to plot a scatter plot of the relationship between the variable sequence and the effective stable length. The influence acquisition unit is used to obtain the average influence based on the relationship scatter plot; The comprehensive characterization unit is used to form an effective stable length comprehensive characterization formula based on the average influence degree, and to obtain the water inrush induced impact identification model; The identification unit is used to identify the real-time stable length based on the water inrush induced impact identification model, and combined with a preset threshold, to determine the risk of water inrush-impact combined disasters in complex structures.

8. The system according to claim 7, characterized in that, The water inrush induced impact identification model includes: ； ； In the formula: L To effectively stabilize the length, For penetration rate, For vertical stress, The distance between the working face and the complex structure. Porosity For water pressure, Represents rock mass mechanical parameters. It is the elastic modulus.

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