Intelligent mine disaster early warning method and device

Abstract

The present application relates to the technical field of mine monitoring and early warning, in particular to an intelligent mine disaster early warning method and device. The method comprises the following steps: determining the stratum lithology distribution and the tectonic distribution of fault folds of a mine area based on mine exploration data, and establishing a three-dimensional geological geometric model according to the stratum lithology distribution and the tectonic distribution of fault folds of the mine area; performing stress finite element analysis on the mine area based on the three-dimensional geological geometric model and the mine exploration data, and determining the rock mass physical and mechanical parameters in the mine area and the geological environment parameters of the mine area according to the analysis results; determining the disaster area with plastic deformation in the mine area based on the rock mass physical and mechanical parameters in the mine area, the geological environment parameters of the mine area and the three-dimensional geological geometric model, and outputting early warning information for the disaster area with plastic deformation. The present application effectively improves the accuracy and real-time performance of mine disaster prediction and early warning by performing full-coverage analysis modeling on the mine and combining numerical simulation analysis means.

Description

Technical Field

[0001] This invention relates to the field of mining area monitoring and early warning technology, and in particular to intelligent mining disaster early warning methods and devices. Background Technology

[0002] With the current high demand for mineral resources and the gradual depletion of domestic mineral reserves and easily mined resources, mines are increasingly turning to the exploitation of deep resources. As mining depth increases, various disasters induced by mining, such as rock bursts, roof falls, and rib collapses, are becoming increasingly prominent, making mine disaster prediction and early warning imperative.

[0003] However, in existing technologies, mine disaster early warning relies on multi-point monitoring on-site, which cannot achieve comprehensive coverage. Since multi-point monitoring data comes from sensors scattered across various monitoring points, this type of data can only reflect the mechanical response state within a small area near the monitoring point and cannot achieve comprehensive coverage. This leads to poor data quality. Furthermore, with the real-time changes in the mine environment, existing monitoring data may be distorted due to rock mass damage, mining disturbances, and environmental factors in the mining area. Therefore, how to provide an intelligent mine disaster early warning method and device is a technical problem that urgently needs to be solved by those skilled in the art. Summary of the Invention

[0004] The purpose of this invention is to provide an intelligent method and device for early warning of mine disasters. This invention effectively improves the accuracy and real-time performance of mine disaster prediction and early warning by conducting full-coverage analysis and modeling of the mine and combining numerical simulation analysis.

[0005] To achieve the above objectives, the present invention provides the following technical solution:

[0006] An intelligent mine disaster early warning method, characterized by including:

[0007] Based on the mine exploration data, the distribution of stratigraphic lithology and the structural distribution of fault-fold geology in the mining area are determined, and a three-dimensional geological geometric model is established based on the distribution of stratigraphic lithology and the structural distribution of fault-fold geology in the mining area.

[0008] Based on the aforementioned three-dimensional geological geometric model and the aforementioned mine exploration data, stress finite element analysis was performed on the mining area. Based on the analysis results, the physical and mechanical parameters of the rock mass within the mining area, as well as the geological environmental parameters of the mining area, were determined.

[0009] The physical and mechanical parameters of the rock mass include the rock mass stress change rate v and the rock mass displacement value x. The geological environment parameters include the rock mass water content n, the content of harmful gases i and the humidity r. The harmful gases include carbon monoxide, hydrogen sulfide, sulfur dioxide, ammonia and methane.

[0010] Based on the rock physical and mechanical parameters, geological environment parameters, and three-dimensional geological geometric model within the mining area, the disaster areas in the mining area where plastic deformation occurs are determined, and early warning information is output for the disaster areas where plastic deformation occurs. The early warning information includes the disaster warning level and the probability of disaster occurrence.

[0011] In some embodiments of this application, the disaster warning levels are divided into a first preset disaster warning level, a second preset disaster warning level, a third preset disaster warning level, and a fourth preset disaster warning level, from high to low.

[0012] A preset rock mass stress change rate matrix T0 is set in advance. For the preset rock mass stress change rate matrix T0, T0(T01,T02,T03,T04) is set, where T01 is the first preset rock mass stress change rate, T02 is the second preset rock mass stress change rate, T03 is the third preset rock mass stress change rate, and T04 is the fourth preset rock mass stress change rate, and T01 < T02 < T03 < T04;

[0013] The corresponding disaster warning level is selected based on the relationship between v and the preset rock mass stress change rate matrix T0 as the warning information output to the disaster area where plastic deformation occurs;

[0014] When v < T01, the first preset disaster warning level is selected as the warning information output to the disaster area where plastic deformation occurs;

[0015] When T01≤v<T02, the second preset disaster warning level is selected as the warning information output to the disaster area where plastic deformation occurs;

[0016] When T02≤v<T03, the third preset disaster warning level is selected as the warning information output to the disaster area where plastic deformation occurs;

[0017] When T03≤v<T04, the fourth preset disaster warning level is selected as the warning information output for the disaster area where plastic deformation occurs.

[0018] In some embodiments of this application, a preset rock mass displacement value matrix W0 and a preset disaster occurrence probability matrix A are preset. For the preset disaster occurrence probability matrix A, A(A1,A2,A3,A4) is set, where A1 is the first preset disaster occurrence probability, A2 is the second preset disaster occurrence probability, A3 is the third preset disaster occurrence probability, and A4 is the fourth preset disaster occurrence probability, and 0% < A1 < A2 < A3 < A4 < 70%;

[0019] For the preset rock mass displacement value matrix W0, set W0(W01,W02,W03,W04), where W01 is the first preset rock mass displacement value, W02 is the second preset rock mass displacement value, W03 is the third preset rock mass displacement value, W04 is the fourth preset rock mass displacement value, and W01 < W02 < W03 < W04.

[0020] The corresponding disaster occurrence probability is selected based on the relationship between x and the preset rock mass displacement value matrix W0 as the early warning information output to the disaster area where plastic deformation occurs;

[0021] When x < W01, the first preset disaster occurrence probability A1 is selected as the early warning information output to the disaster area where plastic deformation occurs;

[0022] When W01≤x<W02, the second preset disaster occurrence probability A2 is selected as the early warning information output to the disaster area where plastic deformation occurs;

[0023] When W02≤x<W03, the third preset disaster occurrence probability A3 is selected as the early warning information output to the disaster area where plastic deformation occurs;

[0024] When W03≤x<W04, the fourth preset disaster occurrence probability A4 is selected as the early warning information output for the disaster area where plastic deformation occurs.

[0025] In some embodiments of this application, a preset rock mass water content matrix R0 and a preset disaster occurrence probability correction coefficient matrix B are preset. For the preset disaster occurrence probability correction coefficient matrix B, B(B1,B2,B3,B4) is set, where B1 is the first preset disaster occurrence probability correction coefficient, B2 is the second preset disaster occurrence probability correction coefficient, B3 is the third preset disaster occurrence probability correction coefficient, and B4 is the fourth preset disaster occurrence probability correction coefficient, and 1 < B1 < B2 < B3 < B4 < 1.2;

[0026] For the preset rock mass water content matrix R0, set R0(R01,R02,R03,R04), where R01 is the first preset rock mass water content, R02 is the second preset rock mass water content, R03 is the third preset rock mass water content, and R04 is the fourth preset rock mass water content, and R01 < R02 < R03 < R04;

[0027] Based on the relationship between n and the preset rock mass water content matrix R0, a corresponding disaster occurrence probability correction coefficient is selected to correct the probability of each preset disaster occurrence, and the corrected disaster occurrence probability is not greater than 100%.

[0028] When n < R01, the first preset disaster occurrence probability correction coefficient B1 is selected to correct the first preset disaster occurrence probability A1, and the corrected disaster occurrence probability is A1*B1.

[0029] When R01≤n<R02, select the second preset disaster occurrence probability correction coefficient B2 to correct the second preset disaster occurrence probability A2. The corrected disaster occurrence probability is A2*B2.

[0030] When R02≤n<R03, the third preset disaster occurrence probability correction coefficient B3 is selected to correct the third preset disaster occurrence probability A3, and the corrected disaster occurrence probability is A3*B3;

[0031] When R03≤n<R04, the fourth preset disaster occurrence probability correction coefficient B4 is selected to correct the fourth preset disaster occurrence probability A4, and the corrected disaster occurrence probability is A4*B4.

[0032] In some embodiments of this application, a preset harmful gas content matrix L0 and a preset disaster occurrence probability secondary correction coefficient matrix C are preset. For the preset disaster occurrence probability secondary correction coefficient matrix C, C(C1,C2,C3,C4) is set, where C1 is the first preset disaster occurrence probability secondary correction coefficient, C2 is the second preset disaster occurrence probability secondary correction coefficient, C3 is the third preset disaster occurrence probability secondary correction coefficient, and C4 is the fourth preset disaster occurrence probability secondary correction coefficient matrix, and 1 < C1 < C2 < C3 < C4 < 1.2;

[0033] For the preset harmful gas content matrix L0, set L0(L01,L02,L03,L04), where L01 is the first preset harmful gas content, L02 is the second preset harmful gas content, L03 is the third preset harmful gas content, L04 is the fourth preset harmful gas content, and L01 < L02 < L03 < L04.

[0034] Based on the relationship between i and the preset harmful gas content matrix L0, a corresponding secondary correction coefficient for the probability of disaster occurrence is selected to make a secondary adjustment to the probability of each preset disaster occurrence after correction.

[0035] When i < L01, the first preset disaster occurrence probability secondary correction coefficient C1 is selected to correct the first preset disaster occurrence probability A1, and the corrected disaster occurrence probability is A1*B1*C1.

[0036] When L01≤i<L02, the second preset disaster occurrence probability secondary correction coefficient C2 is selected to correct the second preset disaster occurrence probability A2. The corrected disaster occurrence probability is A2*B2*C2.

[0037] When L02≤i<L03, the third preset disaster occurrence probability secondary correction coefficient C3 is selected to correct the third preset disaster occurrence probability A3. The corrected disaster occurrence probability is A3*B3*C3.

[0038] When L03≤i<L04, the fourth preset disaster occurrence probability secondary correction coefficient C4 is selected to correct the fourth preset disaster occurrence probability A4. The corrected disaster occurrence probability is A4*B4*C4.

[0039] A preset humidity matrix K0 and a preset disaster occurrence probability third correction coefficient matrix D are also preset. For the preset disaster occurrence probability third correction coefficient matrix D, D(D1,D2,D3,D4) is set, where D1 is the first preset disaster occurrence probability third correction coefficient, D2 is the second preset disaster occurrence probability third correction coefficient, D3 is the third preset disaster occurrence probability third correction coefficient, and D4 is the fourth preset disaster occurrence probability third correction coefficient matrix, and 1 < D1 < D2 < D3 < D4 < 1.2;

[0040] For the preset humidity matrix K0, K0(K01,K02,K03,K04) is set, where K01 is the first preset humidity, K02 is the second preset humidity, K03 is the third preset humidity, K04 is the fourth preset humidity, and K01 < K02 < K03 < K04.

[0041] Based on the relationship between r and the preset humidity matrix K0, a corresponding disaster occurrence probability correction coefficient is selected to adjust and correct the preset disaster occurrence probabilities after the second correction in three steps.

[0042] When r < K01, the first preset disaster occurrence probability correction coefficient D1 is selected to correct the first preset disaster occurrence probability A1 after the second correction. The corrected disaster occurrence probability is A1*B1*C1*D1.

[0043] When K01≤r<K02, select the second preset disaster occurrence probability correction coefficient D2 to perform a third correction on the second preset disaster occurrence probability A2 after the second correction. The corrected disaster occurrence probability is A2*B2*C2*D2.

[0044] When K02≤r<K03, the third preset disaster occurrence probability correction coefficient D3 is selected to correct the third preset disaster occurrence probability A3 after the second correction. The corrected disaster occurrence probability is A3*B3*C3*D3.

[0045] When K03≤r<K04, the fourth preset disaster occurrence probability correction coefficient D4 is selected to perform a third correction on the fourth preset disaster occurrence probability A4 after the second correction. The corrected disaster occurrence probability is A4*B4*C4*D4.

[0046] To achieve the above objectives, the present invention also provides an intelligent mine disaster early warning device, applied in the aforementioned intelligent mine disaster early warning method, comprising:

[0047] A unit is established to determine the stratigraphic and lithological distribution and the structural distribution of fault-fold geology in the mining area based on mining exploration data, and to establish a three-dimensional geological geometric model based on the stratigraphic and lithological distribution and the structural distribution of fault-fold geology in the mining area.

[0048] The analysis unit is used to perform stress finite element analysis on the mining area based on the three-dimensional geological geometric model and the mine exploration data, and to determine the rock mass physical and mechanical parameters and geological environment parameters of the mining area based on the analysis results; wherein,

[0049] The physical and mechanical parameters of the rock mass include the rock mass stress change rate v and the rock mass displacement value x. The geological environment parameters include the rock mass water content n, the content of harmful gases i and the humidity r. The harmful gases include carbon monoxide, hydrogen sulfide, sulfur dioxide, ammonia and methane.

[0050] The early warning unit is used to determine the disaster areas in the mining area where plastic deformation occurs based on the rock physical and mechanical parameters, the geological environment parameters of the mining area, and the three-dimensional geological geometric model, and to output early warning information for the disaster areas where plastic deformation occurs. The early warning information includes the disaster early warning level and the probability of disaster occurrence.

[0051] In some embodiments of this application, the disaster warning levels set in the warning unit are divided into a first preset disaster warning level, a second preset disaster warning level, a third preset disaster warning level, and a fourth preset disaster warning level, from high to low.

[0052] The early warning unit has a preset rock mass stress change rate matrix T0. For the preset rock mass stress change rate matrix T0, T0(T01,T02,T03,T04) is set, where T01 is the first preset rock mass stress change rate, T02 is the second preset rock mass stress change rate, T03 is the third preset rock mass stress change rate, and T04 is the fourth preset rock mass stress change rate, and T01 < T02 < T03 < T04.

[0053] The early warning unit is also used to select the corresponding disaster early warning level based on the relationship between v and the preset rock mass stress change rate matrix T0 as the early warning information output to the disaster area where plastic deformation occurs.

[0054] When v < T01, the first preset disaster warning level is selected as the warning information output to the disaster area where plastic deformation occurs;

[0055] When T01≤v<T02, the second preset disaster warning level is selected as the warning information output to the disaster area where plastic deformation occurs;

[0056] When T02≤v<T03, the third preset disaster warning level is selected as the warning information output to the disaster area where plastic deformation occurs;

[0057] When T03≤v<T04, the fourth preset disaster warning level is selected as the warning information output for the disaster area where plastic deformation occurs.

[0058] In some embodiments of this application, the early warning unit is pre-set with a preset rock mass displacement value matrix W0 and a preset disaster occurrence probability matrix A. For the preset disaster occurrence probability matrix A, A(A1,A2,A3,A4) is set, where A1 is the first preset disaster occurrence probability, A2 is the second preset disaster occurrence probability, A3 is the third preset disaster occurrence probability, and A4 is the fourth preset disaster occurrence probability, and 0% < A1 < A2 < A3 < A4 < 70%;

[0059] For the preset rock mass displacement value matrix W0, set W0(W01,W02,W03,W04), where W01 is the first preset rock mass displacement value, W02 is the second preset rock mass displacement value, W03 is the third preset rock mass displacement value, W04 is the fourth preset rock mass displacement value, and W01 < W02 < W03 < W04.

[0060] The early warning unit is also used to select the corresponding disaster occurrence probability as the early warning information output to the disaster area where plastic deformation occurs, based on the relationship between x and the preset rock mass displacement value matrix W0.

[0061] When x < W01, the first preset disaster occurrence probability A1 is selected as the early warning information output to the disaster area where plastic deformation occurs;

[0062] When W01≤x<W02, the second preset disaster occurrence probability A2 is selected as the early warning information output to the disaster area where plastic deformation occurs;

[0063] When W02≤x<W03, the third preset disaster occurrence probability A3 is selected as the early warning information output to the disaster area where plastic deformation occurs;

[0064] When W03≤x<W04, the fourth preset disaster occurrence probability A4 is selected as the early warning information output for the disaster area where plastic deformation occurs.

[0065] In some embodiments of this application, the early warning unit is pre-set with a preset rock mass water content matrix R0 and a preset disaster occurrence probability correction coefficient matrix B. For the preset disaster occurrence probability correction coefficient matrix B, B(B1,B2,B3,B4) is set, where B1 is the first preset disaster occurrence probability correction coefficient, B2 is the second preset disaster occurrence probability correction coefficient, B3 is the third preset disaster occurrence probability correction coefficient, and B4 is the fourth preset disaster occurrence probability correction coefficient, and 1 < B1 < B2 < B3 < B4 < 1.2;

[0066] For the preset rock mass water content matrix R0, set R0(R01,R02,R03,R04), where R01 is the first preset rock mass water content, R02 is the second preset rock mass water content, R03 is the third preset rock mass water content, and R04 is the fourth preset rock mass water content, and R01 < R02 < R03 < R04;

[0067] The early warning unit is also used to select the corresponding disaster occurrence probability correction coefficient according to the relationship between n and the preset rock mass water content matrix R0 to correct the occurrence probability of each preset disaster, and the corrected disaster occurrence probability is not greater than 100%.

[0068] When n < R01, the first preset disaster occurrence probability correction coefficient B1 is selected to correct the first preset disaster occurrence probability A1, and the corrected disaster occurrence probability is A1*B1.

[0069] When R01≤n<R02, select the second preset disaster occurrence probability correction coefficient B2 to correct the second preset disaster occurrence probability A2. The corrected disaster occurrence probability is A2*B2.

[0070] When R02≤n<R03, the third preset disaster occurrence probability correction coefficient B3 is selected to correct the third preset disaster occurrence probability A3, and the corrected disaster occurrence probability is A3*B3;

[0071] When R03≤n<R04, the fourth preset disaster occurrence probability correction coefficient B4 is selected to correct the fourth preset disaster occurrence probability A4, and the corrected disaster occurrence probability is A4*B4.

[0072] In some embodiments of this application, the early warning unit is pre-set with a preset harmful gas content matrix L0 and a preset disaster occurrence probability secondary correction coefficient matrix C. For the preset disaster occurrence probability secondary correction coefficient matrix C, C(C1,C2,C3,C4) is set, where C1 is the first preset disaster occurrence probability secondary correction coefficient, C2 is the second preset disaster occurrence probability secondary correction coefficient, C3 is the third preset disaster occurrence probability secondary correction coefficient, and C4 is the fourth preset disaster occurrence probability secondary correction coefficient matrix, and 1 < C1 < C2 < C3 < C4 < 1.2;

[0073] For the preset harmful gas content matrix L0, set L0(L01,L02,L03,L04), where L01 is the first preset harmful gas content, L02 is the second preset harmful gas content, L03 is the third preset harmful gas content, L04 is the fourth preset harmful gas content, and L01 < L02 < L03 < L04.

[0074] The early warning unit is also used to select the corresponding secondary correction coefficient of the probability of disaster occurrence based on the relationship between i and the preset harmful gas content matrix L0, so as to make secondary adjustments and corrections to the corrected probability of each preset disaster occurrence.

[0075] When i < L01, the first preset disaster occurrence probability secondary correction coefficient C1 is selected to correct the first preset disaster occurrence probability A1, and the corrected disaster occurrence probability is A1*B1*C1.

[0076] When L01≤i<L02, the second preset disaster occurrence probability secondary correction coefficient C2 is selected to correct the second preset disaster occurrence probability A2. The corrected disaster occurrence probability is A2*B2*C2.

[0077] When L02≤i<L03, the third preset disaster occurrence probability secondary correction coefficient C3 is selected to correct the third preset disaster occurrence probability A3. The corrected disaster occurrence probability is A3*B3*C3.

[0078] When L03≤i<L04, the fourth preset disaster occurrence probability secondary correction coefficient C4 is selected to correct the fourth preset disaster occurrence probability A4. The corrected disaster occurrence probability is A4*B4*C4.

[0079] The early warning unit also has a preset humidity matrix K0 and a preset disaster occurrence probability third correction coefficient matrix D. For the preset disaster occurrence probability third correction coefficient matrix D, D(D1,D2,D3,D4) is set, where D1 is the first preset disaster occurrence probability third correction coefficient, D2 is the second preset disaster occurrence probability third correction coefficient, D3 is the third preset disaster occurrence probability third correction coefficient, and D4 is the fourth preset disaster occurrence probability third correction coefficient matrix, and 1 < D1 < D2 < D3 < D4 < 1.2;

[0080] For the preset humidity matrix K0, K0(K01,K02,K03,K04) is set, where K01 is the first preset humidity, K02 is the second preset humidity, K03 is the third preset humidity, K04 is the fourth preset humidity, and K01 < K02 < K03 < K04.

[0081] The early warning unit is also used to select the corresponding disaster occurrence probability correction coefficient according to the relationship between r and the preset humidity matrix K0, so as to adjust and correct the preset disaster occurrence probabilities after the second correction in three steps.

[0082] When r < K01, the first preset disaster occurrence probability correction coefficient D1 is selected to correct the first preset disaster occurrence probability A1 after the second correction. The corrected disaster occurrence probability is A1*B1*C1*D1.

[0083] When K01≤r<K02, select the second preset disaster occurrence probability correction coefficient D2 to perform a third correction on the second preset disaster occurrence probability A2 after the second correction. The corrected disaster occurrence probability is A2*B2*C2*D2.

[0084] When K02≤r<K03, the third preset disaster occurrence probability correction coefficient D3 is selected to correct the third preset disaster occurrence probability A3 after the second correction. The corrected disaster occurrence probability is A3*B3*C3*D3.

[0085] When K03≤r<K04, the fourth preset disaster occurrence probability correction coefficient D4 is selected to perform a third correction on the fourth preset disaster occurrence probability A4 after the second correction. The corrected disaster occurrence probability is A4*B4*C4*D4.

[0086] This invention provides an intelligent method and device for early warning of mine disasters. Compared with the prior art, its advantages are as follows:

[0087] This invention effectively achieves the prediction and real-time early warning of mine disasters by organically combining numerical simulation methods with on-site monitoring methods. By combining the model to simulate real-time numerical values, the mechanical states such as deformation and damage in the mine area can be comprehensively and intuitively determined, improving the accuracy of disaster prediction. Furthermore, based on the environmental data monitored on-site, the early warning risks are re-characterized and numerically corrected, making the simulation results closer to the numerical simulation of the actual on-site situation, further ensuring the accuracy of the prediction results. Attached Figure Description

[0088] Figure 1 This is a flowchart of an intelligent mine disaster early warning method in an embodiment of the present invention;

[0089] Figure 2 This is a functional block diagram of an intelligent mine disaster early warning device in an embodiment of the present invention. Detailed Implementation

[0090] The specific embodiments of the present invention will be described in further detail below with reference to the accompanying drawings and examples. The following examples are for illustrative purposes only and are not intended to limit the scope of the invention.

[0091] In the description of this application, it should be understood that the terms "center", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this application.

[0092] The terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this application, unless otherwise stated, "a plurality of" means two or more.

[0093] In the description of this application, it should be noted that, unless otherwise expressly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the communication between the inner sides of two components. Those skilled in the art can understand the specific meaning of the above terms in this application based on the specific circumstances.

[0094] In recent years, in order to reduce the risk of mining-induced dynamic disasters and protect the lives of workers and the property of enterprises, mine disaster prediction and early warning has become an urgent need for the mining industry. However, due to the uncertainty of mine geological conditions, the complex mechanism of disaster formation, and the various uncertainties that occur with environmental changes, traditional multi-point monitoring methods can no longer fully adapt to the actual application environment.

[0095] Therefore, this invention provides an intelligent method and device for early warning of mine disasters. By performing full-coverage analysis and modeling of the mine, it overcomes the data limitations of traditional multi-point monitoring and combines numerical simulation analysis with real-time analysis of the mining area environment, effectively improving the accuracy and real-time performance of mine disaster prediction and early warning.

[0096] See Figure 1 As shown, the disclosed embodiments of the present invention provide an intelligent mine disaster early warning method, characterized in that it includes:

[0097] Based on the mine exploration data, the distribution of stratigraphic lithology and the structural distribution of fault-fold geology in the mining area are determined, and a three-dimensional geological geometric model is established based on the distribution of stratigraphic lithology and the structural distribution of fault-fold geology in the mining area.

[0098] Stress finite element analysis was conducted on the mining area based on a three-dimensional geological geometric model and mine exploration data. The analysis results were used to determine the physical and mechanical parameters of the rock mass and the geological environment parameters of the mining area.

[0099] The physical and mechanical parameters of the rock mass include the rock mass stress change rate v and the rock mass displacement value x. The geological environment parameters include the rock mass water content n, the content of harmful gases i and the humidity r. Harmful gases include carbon monoxide, hydrogen sulfide, sulfur dioxide, ammonia and methane.

[0100] Based on the rock mass physical and mechanical parameters, geological environment parameters, and three-dimensional geological geometric model within the mining area, disaster areas exhibiting plastic deformation are identified. Early warning information is then output for these disaster areas, including the disaster warning level and the probability of disaster occurrence.

[0101] In one specific embodiment of this application, the disaster warning levels are divided into a first preset disaster warning level, a second preset disaster warning level, a third preset disaster warning level, and a fourth preset disaster warning level, from high to low.

[0102] A preset rock mass stress change rate matrix T0 is set. For the preset rock mass stress change rate matrix T0, T0(T01,T02,T03,T04) is set, where T01 is the first preset rock mass stress change rate, T02 is the second preset rock mass stress change rate, T03 is the third preset rock mass stress change rate, and T04 is the fourth preset rock mass stress change rate, and T01 < T02 < T03 < T04.

[0103] The corresponding disaster warning level is selected based on the relationship between v and the preset rock mass stress change rate matrix T0 as the warning information output for disaster areas where plastic deformation occurs.

[0104] When v < T01, the first preset disaster warning level is selected as the warning information output for the disaster area where plastic deformation occurs;

[0105] When T01≤v<T02, the second preset disaster warning level is selected as the warning information output for the disaster area where plastic deformation occurs;

[0106] When T02≤v<T03, the third preset disaster warning level is selected as the warning information output for the disaster area where plastic deformation occurs;

[0107] When T03≤v<T04, the fourth preset disaster warning level is selected as the warning information output for disaster areas where plastic deformation occurs.

[0108] In one specific embodiment of this application, a preset rock mass displacement value matrix W0 and a preset disaster occurrence probability matrix A are preset. For the preset disaster occurrence probability matrix A, A(A1,A2,A3,A4) is set, where A1 is the first preset disaster occurrence probability, A2 is the second preset disaster occurrence probability, A3 is the third preset disaster occurrence probability, and A4 is the fourth preset disaster occurrence probability, and 0% < A1 < A2 < A3 < A4 < 70%;

[0109] For the preset rock mass displacement value matrix W0, set W0(W01,W02,W03,W04), where W01 is the first preset rock mass displacement value, W02 is the second preset rock mass displacement value, W03 is the third preset rock mass displacement value, W04 is the fourth preset rock mass displacement value, and W01 < W02 < W03 < W04.

[0110] Based on the relationship between x and the preset rock mass displacement value matrix W0, the corresponding disaster occurrence probability is selected as the early warning information output for disaster areas where plastic deformation occurs;

[0111] When x < W01, the first preset disaster occurrence probability A1 is selected as the early warning information output for disaster areas where plastic deformation occurs;

[0112] When W01≤x<W02, the second preset disaster occurrence probability A2 is selected as the early warning information output for the disaster area where plastic deformation occurs;

[0113] When W02≤x<W03, the third preset disaster occurrence probability A3 is selected as the early warning information output for disaster areas where plastic deformation occurs;

[0114] When W03≤x<W04, the fourth preset disaster occurrence probability A4 is selected as the early warning information output for disaster areas where plastic deformation occurs.

[0115] In one specific embodiment of this application, a preset rock mass water content matrix R0 and a preset disaster occurrence probability correction coefficient matrix B are preset. For the preset disaster occurrence probability correction coefficient matrix B, B(B1,B2,B3,B4) is set, where B1 is the first preset disaster occurrence probability correction coefficient, B2 is the second preset disaster occurrence probability correction coefficient, B3 is the third preset disaster occurrence probability correction coefficient, and B4 is the fourth preset disaster occurrence probability correction coefficient, and 1 < B1 < B2 < B3 < B4 < 1.2;

[0116] For the preset rock mass water content matrix R0, set R0(R01,R02,R03,R04), where R01 is the first preset rock mass water content, R02 is the second preset rock mass water content, R03 is the third preset rock mass water content, and R04 is the fourth preset rock mass water content, and R01 < R02 < R03 < R04.

[0117] Based on the relationship between n and the preset rock mass water content matrix R0, the corresponding disaster occurrence probability correction coefficient is selected to correct the probability of each preset disaster occurrence, and the corrected disaster occurrence probability is not greater than 100%.

[0118] When n < R01, the first preset disaster occurrence probability correction coefficient B1 is selected to correct the first preset disaster occurrence probability A1, and the corrected disaster occurrence probability is A1*B1;

[0119] When R01≤n<R02, select the second preset disaster occurrence probability correction coefficient B2 to correct the second preset disaster occurrence probability A2. The corrected disaster occurrence probability is A2*B2.

[0120] When R02≤n<R03, select the third preset disaster occurrence probability correction coefficient B3 to correct the third preset disaster occurrence probability A3. The corrected disaster occurrence probability is A3*B3.

[0121] When R03≤n<R04, the fourth preset disaster occurrence probability correction coefficient B4 is selected to correct the fourth preset disaster occurrence probability A4. The corrected disaster occurrence probability is A4*B4.

[0122] In one specific embodiment of this application, a preset harmful gas content matrix L0 and a preset disaster occurrence probability secondary correction coefficient matrix C are preset. For the preset disaster occurrence probability secondary correction coefficient matrix C, C(C1,C2,C3,C4) is set, where C1 is the first preset disaster occurrence probability secondary correction coefficient, C2 is the second preset disaster occurrence probability secondary correction coefficient, C3 is the third preset disaster occurrence probability secondary correction coefficient, and C4 is the fourth preset disaster occurrence probability secondary correction coefficient matrix, and 1 < C1 < C2 < C3 < C4 < 1.2;

[0123] For a preset harmful gas content matrix L0, set L0(L01,L02,L03,L04), where L01 is the first preset harmful gas content, L02 is the second preset harmful gas content, L03 is the third preset harmful gas content, L04 is the fourth preset harmful gas content, and L01 < L02 < L03 < L04.

[0124] Based on the relationship between i and the preset harmful gas content matrix L0, select the corresponding secondary correction coefficient for the probability of disaster occurrence to make secondary adjustments to the corrected probability of each preset disaster occurrence.

[0125] When i < L01, the first preset disaster occurrence probability secondary correction coefficient C1 is selected to correct the first preset disaster occurrence probability A1. The corrected disaster occurrence probability is A1*B1*C1.

[0126] When L01≤i<L02, the second preset disaster occurrence probability secondary correction coefficient C2 is selected to correct the second preset disaster occurrence probability A2. The corrected disaster occurrence probability is A2*B2*C2.

[0127] When L02≤i<L03, select the third preset disaster occurrence probability secondary correction coefficient C3 to correct the corrected third preset disaster occurrence probability A3. The corrected disaster occurrence probability is A3*B3*C3.

[0128] When L03≤i<L04, the fourth preset disaster occurrence probability secondary correction coefficient C4 is selected to correct the fourth preset disaster occurrence probability A4. The corrected disaster occurrence probability is A4*B4*C4.

[0129] A preset humidity matrix K0 and a preset disaster occurrence probability three-fold correction coefficient matrix D are also preset. For the preset disaster occurrence probability three-fold correction coefficient matrix D, D(D1,D2,D3,D4) is set, where D1 is the first preset disaster occurrence probability three-fold correction coefficient, D2 is the second preset disaster occurrence probability three-fold correction coefficient, D3 is the third preset disaster occurrence probability three-fold correction coefficient, and D4 is the fourth preset disaster occurrence probability three-fold correction coefficient matrix, and 1<D1<D2<D3<D4<1.2;

[0130] For the preset humidity matrix K0, set K0(K01,K02,K03,K04), where K01 is the first preset humidity, K02 is the second preset humidity, K03 is the third preset humidity, K04 is the fourth preset humidity, and K01 < K02 < K03 < K04.

[0131] Based on the relationship between r and the preset humidity matrix K0, the corresponding disaster occurrence probability correction coefficient is selected to adjust and correct the preset disaster occurrence probabilities after the second correction in three steps.

[0132] When r < K01, the first preset disaster occurrence probability is corrected three times by the third correction coefficient D1 to the second correction first preset disaster occurrence probability A1. The corrected disaster occurrence probability is A1*B1*C1*D1.

[0133] When K01≤r<K02, select the second preset disaster occurrence probability correction coefficient D2 to perform a third correction on the second preset disaster occurrence probability A2 after the second correction. The corrected disaster occurrence probability is A2*B2*C2*D2.

[0134] When K02≤r<K03, the third preset disaster occurrence probability correction coefficient D3 is selected to correct the second-corrected third preset disaster occurrence probability A3 three times. The corrected disaster occurrence probability is A3*B3*C3*D3.

[0135] When K03≤r<K04, the fourth preset disaster occurrence probability is corrected three times by the third correction coefficient D4, and the fourth preset disaster occurrence probability A4 after the second correction is corrected three times. The corrected disaster occurrence probability is A4*B4*C4*D4.

[0136] Based on the same technical concept, see [reference] Figure 2 As shown, the present invention also provides an intelligent mine disaster early warning device, which is applied in an intelligent mine disaster early warning method, including:

[0137] Establish a unit to determine the stratigraphic and lithological distribution and fault-fold geological structure distribution of the mining area based on mining exploration data, and establish a three-dimensional geological geometric model based on the stratigraphic and lithological distribution and fault-fold geological structure distribution of the mining area.

[0138] The analysis unit is used to perform stress finite element analysis on the mining area based on a three-dimensional geological geometric model and mine exploration data, and to determine the physical and mechanical parameters of the rock mass and the geological environment parameters of the mining area based on the analysis results; among them,

[0139] The physical and mechanical parameters of the rock mass include the rock mass stress change rate v and the rock mass displacement value x. The geological environment parameters include the rock mass water content n, the content of harmful gases i and the humidity r. Harmful gases include carbon monoxide, hydrogen sulfide, sulfur dioxide, ammonia and methane.

[0140] The early warning unit is used to determine the disaster areas in the mining area where plastic deformation occurs based on the rock physical and mechanical parameters, geological environment parameters, and three-dimensional geological geometric model. It outputs early warning information for the disaster areas where plastic deformation occurs, including the disaster warning level and the probability of disaster occurrence.

[0141] In one specific embodiment of this application, the disaster warning levels set in the early warning unit are divided into a first preset disaster warning level, a second preset disaster warning level, a third preset disaster warning level, and a fourth preset disaster warning level, from high to low.

[0142] The early warning unit has a preset rock mass stress change rate matrix T0. For the preset rock mass stress change rate matrix T0, T0(T01,T02,T03,T04) is set, where T01 is the first preset rock mass stress change rate, T02 is the second preset rock mass stress change rate, T03 is the third preset rock mass stress change rate, and T04 is the fourth preset rock mass stress change rate, and T01 < T02 < T03 < T04.

[0143] The early warning unit is also used to select the corresponding disaster early warning level based on the relationship between v and the preset rock mass stress change rate matrix T0 as the early warning information output for disaster areas where plastic deformation occurs.

[0144] When v < T01, the first preset disaster warning level is selected as the warning information output for the disaster area where plastic deformation occurs;

[0145] When T01≤v<T02, the second preset disaster warning level is selected as the warning information output for the disaster area where plastic deformation occurs;

[0146] When T02≤v<T03, the third preset disaster warning level is selected as the warning information output for the disaster area where plastic deformation occurs;

[0147] When T03≤v<T04, the fourth preset disaster warning level is selected as the warning information output for disaster areas where plastic deformation occurs.

[0148] In one specific embodiment of this application, the early warning unit is pre-set with a preset rock mass displacement value matrix W0 and a preset disaster occurrence probability matrix A. For the preset disaster occurrence probability matrix A, A(A1,A2,A3,A4) is set, where A1 is the first preset disaster occurrence probability, A2 is the second preset disaster occurrence probability, A3 is the third preset disaster occurrence probability, and A4 is the fourth preset disaster occurrence probability, and 0% < A1 < A2 < A3 < A4 < 70%;

[0149] For the preset rock mass displacement value matrix W0, set W0(W01,W02,W03,W04), where W01 is the first preset rock mass displacement value, W02 is the second preset rock mass displacement value, W03 is the third preset rock mass displacement value, W04 is the fourth preset rock mass displacement value, and W01 < W02 < W03 < W04.

[0150] The early warning unit is also used to select the corresponding disaster occurrence probability as the early warning information output for the disaster area where plastic deformation occurs, based on the relationship between x and the preset rock mass displacement value matrix W0.

[0151] When x < W01, the first preset disaster occurrence probability A1 is selected as the early warning information output for disaster areas where plastic deformation occurs;

[0152] When W01≤x<W02, the second preset disaster occurrence probability A2 is selected as the early warning information output for the disaster area where plastic deformation occurs;

[0153] When W02≤x<W03, the third preset disaster occurrence probability A3 is selected as the early warning information output for disaster areas where plastic deformation occurs;

[0154] When W03≤x<W04, the fourth preset disaster occurrence probability A4 is selected as the early warning information output for disaster areas where plastic deformation occurs.

[0155] In one specific embodiment of this application, the early warning unit is pre-set with a preset rock mass water content matrix R0 and a preset disaster occurrence probability correction coefficient matrix B. For the preset disaster occurrence probability correction coefficient matrix B, B(B1,B2,B3,B4) is set, where B1 is the first preset disaster occurrence probability correction coefficient, B2 is the second preset disaster occurrence probability correction coefficient, B3 is the third preset disaster occurrence probability correction coefficient, and B4 is the fourth preset disaster occurrence probability correction coefficient, and 1 < B1 < B2 < B3 < B4 < 1.2;

[0156] For the preset rock mass water content matrix R0, set R0(R01,R02,R03,R04), where R01 is the first preset rock mass water content, R02 is the second preset rock mass water content, R03 is the third preset rock mass water content, and R04 is the fourth preset rock mass water content, and R01 < R02 < R03 < R04.

[0157] The early warning unit is also used to select the corresponding disaster occurrence probability correction coefficient according to the relationship between n and the preset rock mass water content matrix R0 to correct the occurrence probability of each preset disaster, and the corrected disaster occurrence probability is not greater than 100%.

[0158] When n < R01, the first preset disaster occurrence probability correction coefficient B1 is selected to correct the first preset disaster occurrence probability A1, and the corrected disaster occurrence probability is A1*B1;

[0159] When R01≤n<R02, select the second preset disaster occurrence probability correction coefficient B2 to correct the second preset disaster occurrence probability A2. The corrected disaster occurrence probability is A2*B2.

[0160] When R02≤n<R03, select the third preset disaster occurrence probability correction coefficient B3 to correct the third preset disaster occurrence probability A3. The corrected disaster occurrence probability is A3*B3.

[0161] When R03≤n<R04, the fourth preset disaster occurrence probability correction coefficient B4 is selected to correct the fourth preset disaster occurrence probability A4. The corrected disaster occurrence probability is A4*B4.

[0162] In one specific embodiment of this application, the early warning unit is pre-set with a preset harmful gas content matrix L0 and a preset disaster occurrence probability secondary correction coefficient matrix C. For the preset disaster occurrence probability secondary correction coefficient matrix C, C(C1,C2,C3,C4) is set, where C1 is the first preset disaster occurrence probability secondary correction coefficient, C2 is the second preset disaster occurrence probability secondary correction coefficient, C3 is the third preset disaster occurrence probability secondary correction coefficient, and C4 is the fourth preset disaster occurrence probability secondary correction coefficient matrix, and 1 < C1 < C2 < C3 < C4 < 1.2;

[0163] For a preset harmful gas content matrix L0, set L0(L01,L02,L03,L04), where L01 is the first preset harmful gas content, L02 is the second preset harmful gas content, L03 is the third preset harmful gas content, L04 is the fourth preset harmful gas content, and L01 < L02 < L03 < L04.

[0164] The early warning unit is also used to select the corresponding secondary correction coefficient for the probability of disaster occurrence based on the relationship between i and the preset harmful gas content matrix L0, so as to make secondary adjustments to the corrected probability of each preset disaster occurrence.

[0165] When i < L01, the first preset disaster occurrence probability secondary correction coefficient C1 is selected to correct the first preset disaster occurrence probability A1. The corrected disaster occurrence probability is A1*B1*C1.

[0166] When L01≤i<L02, the second preset disaster occurrence probability secondary correction coefficient C2 is selected to correct the second preset disaster occurrence probability A2. The corrected disaster occurrence probability is A2*B2*C2.

[0167] When L02≤i<L03, select the third preset disaster occurrence probability secondary correction coefficient C3 to correct the corrected third preset disaster occurrence probability A3. The corrected disaster occurrence probability is A3*B3*C3.

[0168] When L03≤i<L04, the fourth preset disaster occurrence probability secondary correction coefficient C4 is selected to correct the fourth preset disaster occurrence probability A4. The corrected disaster occurrence probability is A4*B4*C4.

[0169] The early warning unit also has a preset humidity matrix K0 and a preset disaster occurrence probability third correction coefficient matrix D. For the preset disaster occurrence probability third correction coefficient matrix D, D(D1,D2,D3,D4) is set, where D1 is the first preset disaster occurrence probability third correction coefficient, D2 is the second preset disaster occurrence probability third correction coefficient, D3 is the third preset disaster occurrence probability third correction coefficient, and D4 is the fourth preset disaster occurrence probability third correction coefficient matrix, and 1<D1<D2<D3<D4<1.2;

[0170] For the preset humidity matrix K0, set K0(K01,K02,K03,K04), where K01 is the first preset humidity, K02 is the second preset humidity, K03 is the third preset humidity, K04 is the fourth preset humidity, and K01 < K02 < K03 < K04.

[0171] The early warning unit is also used to select the corresponding disaster occurrence probability three-fold correction coefficient according to the relationship between r and the preset humidity matrix K0, so as to adjust and correct each preset disaster occurrence probability after the second correction three times;

[0172] When r < K01, the first preset disaster occurrence probability is corrected three times by the third correction coefficient D1 to the second correction first preset disaster occurrence probability A1. The corrected disaster occurrence probability is A1*B1*C1*D1.

[0173] When K01≤r<K02, select the second preset disaster occurrence probability correction coefficient D2 to perform a third correction on the second preset disaster occurrence probability A2 after the second correction. The corrected disaster occurrence probability is A2*B2*C2*D2.

[0174] When K02≤r<K03, the third preset disaster occurrence probability correction coefficient D3 is selected to correct the second-corrected third preset disaster occurrence probability A3 three times. The corrected disaster occurrence probability is A3*B3*C3*D3.

[0175] When K03≤r<K04, the fourth preset disaster occurrence probability is corrected three times by the third correction coefficient D4, and the fourth preset disaster occurrence probability A4 after the second correction is corrected three times. The corrected disaster occurrence probability is A4*B4*C4*D4.

[0176] In summary, this invention effectively achieves the prediction and real-time early warning of mine disasters by organically combining numerical simulation methods with on-site monitoring methods. By simulating real-time numerical data using a model, the mechanical states such as deformation and damage within the mine can be comprehensively and intuitively determined, improving the accuracy of disaster prediction. Furthermore, based on environmental data from on-site monitoring, the early warning risks are re-characterized and numerically corrected, making the simulation results closer to the actual on-site conditions, further ensuring the accuracy of the prediction results. This invention has advantages such as accuracy, intelligence, and low cost.

[0177] The above description is merely one embodiment of the present invention, but it cannot be used to limit the scope of the present invention. Any structural changes made based on the present invention, as long as they do not lose the essence of the present invention, should be considered to fall within the protection scope of the present invention and be subject to its restrictions.

[0178] Those skilled in the art will understand that, for the sake of convenience and brevity, the specific working process and related descriptions of the system described above can be found in the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0179] It should be noted that the system provided in the above embodiments is only illustrated by the division of the above functional modules. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the modules or steps in the embodiments of the present invention can be further decomposed or combined. For example, the modules in the above embodiments can be merged into one module, or further divided into multiple sub-modules to complete all or part of the functions described above. The names of the modules and steps involved in the embodiments of the present invention are only for distinguishing the various modules or steps and are not considered as an improper limitation of the present invention.

[0180] Those skilled in the art will recognize that the modules and method steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of both. The programs corresponding to the software modules and method steps can be placed in random access memory (RAM), main memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disks, removable disks, CD-ROMs, or any other form of storage medium known in the art. To clearly illustrate the interchangeability of electronic hardware and software, the components and steps of the various examples have been generally described in terms of functionality in the foregoing description. Whether these functions are implemented in electronic hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the invention.

[0181] The term "comprising" or any other similar term is intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus / device that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent in such process, method, article, or apparatus / device.

[0182] The technical solution of the present invention has been described above with reference to the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after such changes or substitutions will all fall within the scope of protection of the present invention.

[0183] The above description is merely a preferred embodiment of the present invention and is not intended to limit the scope of protection of the present invention.

Claims

1. An intelligent method for early warning of mine disasters, characterized in that, include: Based on the mine exploration data, the distribution of stratigraphic lithology and the structural distribution of fault-fold geology in the mining area are determined, and a three-dimensional geological geometric model is established based on the distribution of stratigraphic lithology and the structural distribution of fault-fold geology in the mining area. Based on the aforementioned three-dimensional geological geometric model and the aforementioned mine exploration data, stress finite element analysis was performed on the mining area. Based on the analysis results, the physical and mechanical parameters of the rock mass within the mining area, as well as the geological environmental parameters of the mining area, were determined. The physical and mechanical parameters of the rock mass include the rock mass stress change rate v and the rock mass displacement value x. The geological environment parameters include the rock mass water content n, the content of harmful gases i and the humidity r. The harmful gases include carbon monoxide, hydrogen sulfide, sulfur dioxide, ammonia and methane. Based on the rock physical and mechanical parameters, geological environment parameters, and three-dimensional geological geometric model within the mining area, the disaster areas in the mining area where plastic deformation occurs are determined, and early warning information is output for the disaster areas where plastic deformation occurs. The early warning information includes the disaster warning level and the probability of disaster occurrence.

2. The intelligent mine disaster early warning method according to claim 1, characterized in that, The disaster warning levels are divided into four preset levels from high to low: the first preset disaster warning level, the second preset disaster warning level, the third preset disaster warning level, and the fourth preset disaster warning level. A preset rock mass stress change rate matrix T0 is set in advance. For the preset rock mass stress change rate matrix T0, T0(T01,T02,T03,T04) is set, where T01 is the first preset rock mass stress change rate, T02 is the second preset rock mass stress change rate, T03 is the third preset rock mass stress change rate, and T04 is the fourth preset rock mass stress change rate, and T01 < T02 < T03 < T04; The corresponding disaster warning level is selected based on the relationship between v and the preset rock mass stress change rate matrix T0 as the warning information output to the disaster area where plastic deformation occurs; When v < T01, the first preset disaster warning level is selected as the warning information output to the disaster area where plastic deformation occurs; When T01≤v<T02, the second preset disaster warning level is selected as the warning information output to the disaster area where plastic deformation occurs; When T02≤v<T03, the third preset disaster warning level is selected as the warning information output to the disaster area where plastic deformation occurs; When T03≤v<T04, the fourth preset disaster warning level is selected as the warning information output for the disaster area where plastic deformation occurs.

3. The intelligent mine disaster early warning method according to claim 1, characterized in that, A preset rock mass displacement value matrix W0 and a preset disaster occurrence probability matrix A are preset. For the preset disaster occurrence probability matrix A, A(A1,A2,A3,A4) is set, where A1 is the first preset disaster occurrence probability, A2 is the second preset disaster occurrence probability, A3 is the third preset disaster occurrence probability, and A4 is the fourth preset disaster occurrence probability, and 0% < A1 < A2 < A3 < A4 < 70%; For the preset rock mass displacement value matrix W0, set W0(W01,W02,W03,W04), where W01 is the first preset rock mass displacement value, W02 is the second preset rock mass displacement value, W03 is the third preset rock mass displacement value, W04 is the fourth preset rock mass displacement value, and W01 < W02 < W03 < W04. The corresponding disaster occurrence probability is selected based on the relationship between x and the preset rock mass displacement value matrix W0 as the early warning information output to the disaster area where plastic deformation occurs; When x < W01, the first preset disaster occurrence probability A1 is selected as the early warning information output to the disaster area where plastic deformation occurs; When W01≤x<W02, the second preset disaster occurrence probability A2 is selected as the early warning information output to the disaster area where plastic deformation occurs; When W02≤x<W03, the third preset disaster occurrence probability A3 is selected as the early warning information output to the disaster area where plastic deformation occurs; When W03≤x<W04, the fourth preset disaster occurrence probability A4 is selected as the early warning information output for the disaster area where plastic deformation occurs.

4. The intelligent mine disaster early warning method according to claim 3, characterized in that, A preset rock mass water content matrix R0 and a preset disaster occurrence probability correction coefficient matrix B are pre-set. For the preset disaster occurrence probability correction coefficient matrix B, B(B1,B2,B3,B4) is set, where B1 is the first preset disaster occurrence probability correction coefficient, B2 is the second preset disaster occurrence probability correction coefficient, B3 is the third preset disaster occurrence probability correction coefficient, and B4 is the fourth preset disaster occurrence probability correction coefficient, and 1 < B1 < B2 < B3 < B4 < 1.2; For the preset rock mass water content matrix R0, set R0(R01,R02,R03,R04), where R01 is the first preset rock mass water content, R02 is the second preset rock mass water content, R03 is the third preset rock mass water content, and R04 is the fourth preset rock mass water content, and R01 < R02 < R03 < R04; Based on the relationship between n and the preset rock mass water content matrix R0, a corresponding disaster occurrence probability correction coefficient is selected to correct the probability of each preset disaster occurrence, and the corrected disaster occurrence probability is not greater than 100%. When n < R01, the first preset disaster occurrence probability correction coefficient B1 is selected to correct the first preset disaster occurrence probability A1, and the corrected disaster occurrence probability is A1*B1. When R01≤n<R02, select the second preset disaster occurrence probability correction coefficient B2 to correct the second preset disaster occurrence probability A2. The corrected disaster occurrence probability is A2*B2. When R02≤n<R03, the third preset disaster occurrence probability correction coefficient B3 is selected to correct the third preset disaster occurrence probability A3, and the corrected disaster occurrence probability is A3*B3; When R03≤n<R04, the fourth preset disaster occurrence probability correction coefficient B4 is selected to correct the fourth preset disaster occurrence probability A4, and the corrected disaster occurrence probability is A4*B4.

5. The intelligent mine disaster early warning method according to claim 4, characterized in that, A preset harmful gas content matrix L0 and a preset disaster occurrence probability secondary correction coefficient matrix C are pre-set. For the preset disaster occurrence probability secondary correction coefficient matrix C, C(C1,C2,C3,C4) is set, where C1 is the first preset disaster occurrence probability secondary correction coefficient, C2 is the second preset disaster occurrence probability secondary correction coefficient, C3 is the third preset disaster occurrence probability secondary correction coefficient, and C4 is the fourth preset disaster occurrence probability secondary correction coefficient matrix, and 1 < C1 < C2 < C3 < C4 < 1.2; For the preset harmful gas content matrix L0, set L0(L01,L02,L03,L04), where L01 is the first preset harmful gas content, L02 is the second preset harmful gas content, L03 is the third preset harmful gas content, L04 is the fourth preset harmful gas content, and L01 < L02 < L03 < L04. Based on the relationship between i and the preset harmful gas content matrix L0, a corresponding secondary correction coefficient for the probability of disaster occurrence is selected to make a secondary adjustment to the probability of each preset disaster occurrence after correction. When i < L01, the first preset disaster occurrence probability secondary correction coefficient C1 is selected to correct the first preset disaster occurrence probability A1, and the corrected disaster occurrence probability is A1*B1*C1. When L01≤i<L02, the second preset disaster occurrence probability secondary correction coefficient C2 is selected to correct the second preset disaster occurrence probability A2. The corrected disaster occurrence probability is A2*B2*C2. When L02≤i<L03, the third preset disaster occurrence probability secondary correction coefficient C3 is selected to correct the third preset disaster occurrence probability A3. The corrected disaster occurrence probability is A3*B3*C3. When L03≤i<L04, the fourth preset disaster occurrence probability secondary correction coefficient C4 is selected to correct the fourth preset disaster occurrence probability A4. The corrected disaster occurrence probability is A4*B4*C4. A preset humidity matrix K0 and a preset disaster occurrence probability third correction coefficient matrix D are also preset. For the preset disaster occurrence probability third correction coefficient matrix D, D(D1,D2,D3,D4) is set, where D1 is the first preset disaster occurrence probability third correction coefficient, D2 is the second preset disaster occurrence probability third correction coefficient, D3 is the third preset disaster occurrence probability third correction coefficient, and D4 is the fourth preset disaster occurrence probability third correction coefficient matrix, and 1 < D1 < D2 < D3 < D4 < 1.2; For the preset humidity matrix K0, K0(K01,K02,K03,K04) is set, where K01 is the first preset humidity, K02 is the second preset humidity, K03 is the third preset humidity, K04 is the fourth preset humidity, and K01 < K02 < K03 < K04. Based on the relationship between r and the preset humidity matrix K0, a corresponding disaster occurrence probability correction coefficient is selected to adjust and correct the preset disaster occurrence probabilities after the second correction in three steps. When r < K01, the first preset disaster occurrence probability correction coefficient D1 is selected to correct the first preset disaster occurrence probability A1 after the second correction. The corrected disaster occurrence probability is A1*B1*C1*D1. When K01≤r<K02, select the second preset disaster occurrence probability correction coefficient D2 to perform a third correction on the second preset disaster occurrence probability A2 after the second correction. The corrected disaster occurrence probability is A2*B2*C2*D2. When K02≤r<K03, the third preset disaster occurrence probability correction coefficient D3 is selected to correct the third preset disaster occurrence probability A3 after the second correction. The corrected disaster occurrence probability is A3*B3*C3*D3. When K03≤r<K04, the fourth preset disaster occurrence probability correction coefficient D4 is selected to perform a third correction on the fourth preset disaster occurrence probability A4 after the second correction. The corrected disaster occurrence probability is A4*B4*C4*D4.

6. An intelligent mine disaster early warning device, applied in the intelligent mine disaster early warning method as described in any one of claims 1-5, characterized in that, include: A unit is established to determine the stratigraphic and lithological distribution and the structural distribution of fault-fold geology in the mining area based on mining exploration data, and to establish a three-dimensional geological geometric model based on the stratigraphic and lithological distribution and the structural distribution of fault-fold geology in the mining area. The analysis unit is used to perform stress finite element analysis on the mining area based on the three-dimensional geological geometric model and the mine exploration data, and to determine the rock mass physical and mechanical parameters and geological environment parameters of the mining area based on the analysis results; wherein, The physical and mechanical parameters of the rock mass include the rock mass stress change rate v and the rock mass displacement value x. The geological environment parameters include the rock mass water content n, the content of harmful gases i and the humidity r. The harmful gases include carbon monoxide, hydrogen sulfide, sulfur dioxide, ammonia and methane. The early warning unit is used to determine the disaster areas in the mining area where plastic deformation occurs based on the rock physical and mechanical parameters, the geological environment parameters of the mining area, and the three-dimensional geological geometric model, and to output early warning information for the disaster areas where plastic deformation occurs. The early warning information includes the disaster early warning level and the probability of disaster occurrence.

7. The intelligent mine disaster early warning device according to claim 6, characterized in that, The disaster warning levels set within the warning unit are divided into four preset disaster warning levels from high to low: a first preset disaster warning level, a second preset disaster warning level, a third preset disaster warning level, and a fourth preset disaster warning level. The early warning unit has a preset rock mass stress change rate matrix T0. For the preset rock mass stress change rate matrix T0, T0(T01,T02,T03,T04) is set, where T01 is the first preset rock mass stress change rate, T02 is the second preset rock mass stress change rate, T03 is the third preset rock mass stress change rate, and T04 is the fourth preset rock mass stress change rate, and T01 < T02 < T03 < T04. The early warning unit is also used to select the corresponding disaster early warning level based on the relationship between v and the preset rock mass stress change rate matrix T0 as the early warning information output to the disaster area where plastic deformation occurs. When v < T01, the first preset disaster warning level is selected as the warning information output to the disaster area where plastic deformation occurs; When T01≤v<T02, the second preset disaster warning level is selected as the warning information output to the disaster area where plastic deformation occurs; When T02≤v<T03, the third preset disaster warning level is selected as the warning information output to the disaster area where plastic deformation occurs; When T03≤v<T04, the fourth preset disaster warning level is selected as the warning information output for the disaster area where plastic deformation occurs.

8. The intelligent mine disaster early warning device according to claim 7, characterized in that, The early warning unit is pre-set with a preset rock mass displacement value matrix W0 and a preset disaster occurrence probability matrix A. For the preset disaster occurrence probability matrix A, A(A1,A2,A3,A4) is set, where A1 is the first preset disaster occurrence probability, A2 is the second preset disaster occurrence probability, A3 is the third preset disaster occurrence probability, and A4 is the fourth preset disaster occurrence probability, and 0% < A1 < A2 < A3 < A4 < 70%. For the preset rock mass displacement value matrix W0, set W0(W01,W02,W03,W04), where W01 is the first preset rock mass displacement value, W02 is the second preset rock mass displacement value, W03 is the third preset rock mass displacement value, W04 is the fourth preset rock mass displacement value, and W01 < W02 < W03 < W04. The early warning unit is also used to select the corresponding disaster occurrence probability as the early warning information output to the disaster area where plastic deformation occurs, based on the relationship between x and the preset rock mass displacement value matrix W0. When x < W01, the first preset disaster occurrence probability A1 is selected as the early warning information output to the disaster area where plastic deformation occurs; When W01≤x<W02, the second preset disaster occurrence probability A2 is selected as the early warning information output to the disaster area where plastic deformation occurs; When W02≤x<W03, the third preset disaster occurrence probability A3 is selected as the early warning information output to the disaster area where plastic deformation occurs; When W03≤x<W04, the fourth preset disaster occurrence probability A4 is selected as the early warning information output to the disaster area where plastic deformation occurs.

9. The intelligent mine disaster early warning device according to claim 8, characterized in that, The early warning unit is pre-set with a preset rock mass water content matrix R0 and a preset disaster occurrence probability correction coefficient matrix B. For the preset disaster occurrence probability correction coefficient matrix B, B(B1,B2,B3,B4) is set, where B1 is the first preset disaster occurrence probability correction coefficient, B2 is the second preset disaster occurrence probability correction coefficient, B3 is the third preset disaster occurrence probability correction coefficient, and B4 is the fourth preset disaster occurrence probability correction coefficient, and 1 < B1 < B2 < B3 < B4 < 1.2; For the preset rock mass water content matrix R0, set R0(R01,R02,R03,R04), where R01 is the first preset rock mass water content, R02 is the second preset rock mass water content, R03 is the third preset rock mass water content, and R04 is the fourth preset rock mass water content, and R01 < R02 < R03 < R04; The early warning unit is also used to select the corresponding disaster occurrence probability correction coefficient according to the relationship between n and the preset rock mass water content matrix R0 to correct the occurrence probability of each preset disaster, and the corrected disaster occurrence probability is not greater than 100%. When n < R01, the first preset disaster occurrence probability correction coefficient B1 is selected to correct the first preset disaster occurrence probability A1, and the corrected disaster occurrence probability is A1*B1; When R01≤n<R02, select the second preset disaster occurrence probability correction coefficient B2 to correct the second preset disaster occurrence probability A2. The corrected disaster occurrence probability is A2*B2. When R02≤n<R03, the third preset disaster occurrence probability correction coefficient B3 is selected to correct the third preset disaster occurrence probability A3, and the corrected disaster occurrence probability is A3*B3; When R03≤n<R04, the fourth preset disaster occurrence probability correction coefficient B4 is selected to correct the fourth preset disaster occurrence probability A4, and the corrected disaster occurrence probability is A4*B4.

10. The intelligent mine disaster early warning device according to claim 9, characterized in that, The early warning unit is pre-set with a preset harmful gas content matrix L0 and a preset disaster occurrence probability secondary correction coefficient matrix C. For the preset disaster occurrence probability secondary correction coefficient matrix C, C(C1,C2,C3,C4) is set, where C1 is the first preset disaster occurrence probability secondary correction coefficient, C2 is the second preset disaster occurrence probability secondary correction coefficient, C3 is the third preset disaster occurrence probability secondary correction coefficient, and C4 is the fourth preset disaster occurrence probability secondary correction coefficient matrix, and 1 < C1 < C2 < C3 < C4 < 1.2; For the preset harmful gas content matrix L0, set L0(L01,L02,L03,L04), where L01 is the first preset harmful gas content, L02 is the second preset harmful gas content, L03 is the third preset harmful gas content, L04 is the fourth preset harmful gas content, and L01 < L02 < L03 < L04. The early warning unit is also used to select the corresponding secondary correction coefficient of the probability of disaster occurrence based on the relationship between i and the preset harmful gas content matrix L0, so as to make secondary adjustments and corrections to the corrected probability of each preset disaster occurrence. When i < L01, the first preset disaster occurrence probability secondary correction coefficient C1 is selected to correct the first preset disaster occurrence probability A1, and the corrected disaster occurrence probability is A1*B1*C1. When L01≤i<L02, the second preset disaster occurrence probability secondary correction coefficient C2 is selected to correct the second preset disaster occurrence probability A2. The corrected disaster occurrence probability is A2*B2*C2. When L02≤i<L03, the third preset disaster occurrence probability secondary correction coefficient C3 is selected to correct the third preset disaster occurrence probability A3. The corrected disaster occurrence probability is A3*B3*C3. When L03≤i<L04, the fourth preset disaster occurrence probability secondary correction coefficient C4 is selected to correct the fourth preset disaster occurrence probability A4. The corrected disaster occurrence probability is A4*B4*C4. The early warning unit also has a preset humidity matrix K0 and a preset disaster occurrence probability third correction coefficient matrix D. For the preset disaster occurrence probability third correction coefficient matrix D, D(D1,D2,D3,D4) is set, where D1 is the first preset disaster occurrence probability third correction coefficient, D2 is the second preset disaster occurrence probability third correction coefficient, D3 is the third preset disaster occurrence probability third correction coefficient, and D4 is the fourth preset disaster occurrence probability third correction coefficient matrix, and 1 < D1 < D2 < D3 < D4 < 1.2; For the preset humidity matrix K0, K0(K01,K02,K03,K04) is set, where K01 is the first preset humidity, K02 is the second preset humidity, K03 is the third preset humidity, K04 is the fourth preset humidity, and K01 < K02 < K03 < K04. The early warning unit is also used to select the corresponding disaster occurrence probability correction coefficient according to the relationship between r and the preset humidity matrix K0, so as to adjust and correct the preset disaster occurrence probabilities after the second correction in three steps. When r < K01, the first preset disaster occurrence probability correction coefficient D1 is selected to correct the first preset disaster occurrence probability A1 after the second correction. The corrected disaster occurrence probability is A1*B1*C1*D1. When K01≤r<K02, select the second preset disaster occurrence probability correction coefficient D2 to perform a third correction on the second preset disaster occurrence probability A2 after the second correction. The corrected disaster occurrence probability is A2*B2*C2*D2. When K02≤r<K03, the third preset disaster occurrence probability correction coefficient D3 is selected to correct the third preset disaster occurrence probability A3 after the second correction. The corrected disaster occurrence probability is A3*B3*C3*D3. When K03≤r<K04, the fourth preset disaster occurrence probability correction coefficient D4 is selected to perform a third correction on the fourth preset disaster occurrence probability A4 after the second correction. The corrected disaster occurrence probability is A4*B4*C4*D4.

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