A computer-implemented method for evaluating the similarity of coal and gas outburst inversion
The computer-implemented coal and gas outburst inversion model and parameter optimization method solve the problem of low accuracy of coal and gas outburst assessment in the existing technology, and achieve higher precision and real-time risk assessment.
Patent Information
- Application Number
- CN202411263155.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-09-10
- Publication Date
- 2025-01-24
- Estimated Expiration
- 2044-09-10
AI Technical Summary
In the prior art, in the evaluation of coal and gas outburst, the data prediction accuracy is not high, and the complete process of coal and gas outburst is not considered, resulting in inaccurate evaluation results.
A computer-implemented method is proposed to establish a coal and gas outburst inversion model by collecting relevant data of coal seams and gas outbursts, optimize the parameters of the model, perform numerical simulations, calculate the similarity between the inversion results and actual data, and evaluate Model accuracy.
It improves the accuracy and real-time performance of coal and gas outburst risk assessment, can more accurately simulate the stress distribution and gas pressure conditions of coal seams and surrounding rock masses, and enhances the ability to predict coal and gas outburst risks.
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Figure CN118779672B_ABST
Abstract
Description
Technical Field
[0001] The invention belongs to the technical field of coal and gas outburst, and in particular is a computer-implemented method for evaluating the inversion similarity of coal and gas outburst. Background Art
[0002] Coal and gas outburst is a common and dangerous geological disaster in the process of coal mining. Coal and gas outburst is "stimulated" by ground stress and "driven" by gas. Ground stress "controls" gas. Under the action of ground stress, the hard rock mass of the roof is broken, and the huge energy formed has impact damage to the coal rock, which will desorb the gas adsorbed in the coal seam and turn it into free gas, thus forming gas expansion energy and starting the process of driving the outburst. This phenomenon not only poses a serious threat to the production safety of the mine, but may also cause casualties and equipment damage. Therefore, it is particularly important to assess the risk of coal and gas outburst and carry out related monitoring and prevention work.
[0003] Traditional coal and gas outburst assessment methods mainly rely on geological exploration data and field observation data. Although these methods can provide certain prediction and assessment basis, they usually have problems such as difficulty in data acquisition, long assessment cycle, and low accuracy of results. With the improvement of computer technology and data processing capabilities, coal and gas outburst assessment methods based on computer simulation and inversion technology have gradually become a research hotspot.
[0004] Inversion technology refers to a technical means of inferring the internal structure and properties of geological bodies through observation data. In coal and gas outburst assessment, inversion technology can build a detailed model of coal seams and surrounding rock mass through comprehensive analysis of various data such as mine geology, gas content, stress distribution, etc., so as to predict and evaluate the risk of coal and gas outburst.
[0005] For example, a Chinese patent with authorization announcement number CN108763164B discloses a method for evaluating the similarity of coal and gas outburst inversion, including the following steps: S1: collecting field parameters that affect coal and gas outburst factors, and determining the inversion parameters corresponding to the field parameters; S2: calculating the similarity coefficients between each field parameter and the inversion parameter; S3: dividing the entire process of coal and gas outburst into three stages, namely, the incubation and stimulation stage, the development stage, and the termination stage, and calculating the coal and gas outburst inversion similarity of the three stages respectively; S4: calculating the inversion similarity of the entire process of coal and gas outburst based on the coal and gas outburst inversion similarity of the three stages; S5: establishing a standard model for evaluating the inversion similarity of coal and gas outburst, and evaluating the inversion similarity of the entire process of coal and gas outburst; the invention realizes the evaluation of the similarity between the coal and gas outburst inversion and the restoration of the coal and gas outburst accident site, and provides support for the improvement of the inversion investigation and analysis of the outburst accident and the mechanism and inversion simulation test.
[0006] The defects of the above patents are: 1) The accuracy of the prediction of coal and gas outburst data is not high, that is, the accuracy of the obtained inversion parameters is not high; 2) When performing similarity evaluation, the complete process of coal and gas outburst energy storage → excitation → gas desorption and expansion → driving outburst is not considered. Summary of the invention
[0007] In view of the shortcomings of the prior art, the present invention proposes a computer-implemented method for evaluating the similarity of coal and gas outburst inversion, establishes a coal and gas outburst inversion model, optimizes the parameters of the coal and gas outburst inversion model, performs numerical simulation on the coal and gas outburst wave field, and then calculates the similarity between the coal and gas outburst inversion results and the actual data, thereby overcoming the shortcomings of the prior art and improving the accuracy and real-time performance of the prediction.
[0008] To achieve the above object, the present invention provides the following technical solutions:
[0009] A computer-implemented method for evaluating the similarity of coal and gas outburst inversions comprises:
[0010] Collect relevant data on coal seams and gas outbursts, and pre-process the collected relevant data on coal seams and gas outbursts;
[0011] A coal and gas outburst inversion model is established based on the physical properties of coal seams, and the parameters of the coal and gas outburst inversion model are optimized;
[0012] Numerical simulation of coal and gas outburst wave fields was performed to obtain the spatial distribution of coal seam physical parameters, and multi-scale analysis of the inversion results was performed;
[0013] Calculate the similarity between the coal and gas outburst inversion results and the actual data, and evaluate the accuracy of the coal and gas outburst inversion model;
[0014] Based on the similarity results, a coal and gas outburst hazard assessment model is established and the hazard assessment results are output.
[0015] Specifically, the coal and gas outburst inversion model is established based on the physical property parameters of the coal seam, including:
[0016] The first model, the second model and the third model;
[0017] The specific formula of the first model is:
[0018] ,
[0019] in, and represents the Lamé constant, represents the gradient operator, represents partial derivative, t represents time, u represents displacement, represents the density of coal, represents the volume ratio of coal pores, k represents the permeability of coal, C g Indicates gas content;
[0020] The specific formula of the second model is:
[0021] ,
[0022] Where v represents the gas flow rate, D represents the diffusion coefficient, , p g Indicates gas pressure, represents gas viscosity, g represents gravitational acceleration, Indicates gas density;
[0023] The specific formula of the third model is:
[0024] ,
[0025] in, represents the stress tensor, ,in represents the identity matrix, represents the strain tensor, , T represents transpose.
[0026] Specifically, the parameter optimization of the coal and gas outburst inversion model includes:
[0027] The specific formula for parameter optimization of coal and gas outburst inversion model is:
[0028] ,
[0029] Among them, f(x) represents the target optimization function, min represents the minimum operator, and the value of the target function is minimized by adjusting the model parameters. i represents the true value of the ith data point in the coal and gas outburst area, g(x i ) represents the predicted value of the coal and gas outburst inversion model at the i-th data point, and n represents the number of data points in the coal and gas outburst area.
[0030] Specifically, the numerical simulation of the coal and gas outburst wave field includes:
[0031] The coal and gas outburst inversion model is used to numerically simulate the wave field in the coal. The specific formula of the numerical simulation is:
[0032] ,
[0033] Where, f represents the numerical simulation of the wave field in coal, represents the diffusion term of wave propagation in coal, represents the coal medium parameters, represents the gradient of displacement, represents the inertia term of the wave, v b represents the wave speed, Represents the second derivative of displacement with respect to time.
[0034] Specifically, the calculation of the similarity between the coal and gas outburst inversion result and the actual data includes:
[0035] The similarity calculation formula between the coal and gas outburst inversion results and the actual data is:
[0036] ,
[0037] Among them, Sim represents the similarity between the coal and gas outburst inversion results and the actual data. represents the impact factor of the jdth stage, 1≤jd≤4, f sj Represents actual data of coal and gas outburst.
[0038] Specifically, the accuracy of the coal and gas outburst inversion model is evaluated, including:
[0039] When 0.8≤Sim≤1, the similarity between coal and gas outburst inversion is evaluated as low similarity, when 0.4≤Sim<0.8, the similarity between coal and gas outburst inversion is evaluated as medium similarity, and when 0≤Sim<0.4, the similarity between coal and gas outburst inversion is evaluated as high similarity.
[0040] A computer-implemented system for evaluating the similarity of coal and gas outburst inversion, used to implement the computer-implemented method for evaluating the similarity of coal and gas outburst inversion, comprising: a data acquisition module, a model building module, a numerical simulation module, a similarity calculation module and a hazard assessment module;
[0041] The data acquisition module is used to collect data related to coal seams and gas outbursts, and pre-process the collected data related to coal seams and gas outbursts;
[0042] The model building module is used to build a coal and gas outburst inversion model based on the physical property parameters of the coal seam, and optimize the parameters of the coal and gas outburst inversion model;
[0043] The numerical simulation module is used to perform numerical simulation on the coal and gas outburst wave field, obtain the spatial distribution of coal seam physical property parameters, and perform multi-scale analysis on the inversion results;
[0044] The similarity calculation module is used to calculate the similarity between the coal and gas outburst inversion results and the actual data, and evaluate the accuracy of the coal and gas outburst inversion model;
[0045] The hazard assessment module is used to establish a coal and gas outburst hazard assessment model based on the similarity results and output the hazard assessment results.
[0046] Specifically, the model building module includes an inversion model building unit and an inversion model optimization unit;
[0047] The inversion model building unit is used to build a coal and gas outburst inversion model based on the physical property parameters of the coal seam;
[0048] The inversion model optimization unit is used to optimize the parameters of the coal and gas outburst inversion model.
[0049] An electronic device comprises a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the processor implements the steps of a computer-implemented method for evaluating the similarity of coal and gas outburst inversion.
[0050] A computer-readable storage medium stores computer instructions which, when executed, perform the steps of a computer-implemented method for evaluating the similarity of coal and gas outburst inversion.
[0051] Compared with the prior art, the present invention has the following beneficial effects:
[0052] 1. The present invention proposes a computer-implemented method for evaluating the similarity of coal and gas outburst inversion. Traditional methods often require a lot of manpower and material resources, while computer evaluation methods mainly rely on data and algorithms. While improving efficiency, they can effectively reduce the overall cost of evaluation.
[0053] 2. The present invention proposes a computer-implemented method for evaluating the inversion similarity of coal and gas outburst. The computer-implemented inversion technology can process a large amount of complex geological and gas data, and use advanced algorithms and models to more accurately simulate the stress distribution and gas pressure of coal seams and their surrounding rock masses, thereby improving the accuracy of coal and gas outburst risk assessment.
[0054] 3. The present invention proposes a computer-implemented method for evaluating the inversion similarity of coal and gas outbursts. By using computer inversion technology, not only can the current coal and gas outburst risks be evaluated, but also the prediction ability of future emergencies can be improved through the analysis of historical data and continuous optimization of models, so as to better formulate prevention and emergency measures.
[0055] 4. The present invention proposes a computer-implemented method for evaluating the similarity of coal and gas outburst inversion. Traditional evaluation methods usually require a long period of on-site observation and data processing, while the computer-implemented similarity calculation method can significantly shorten this process. Through efficient data processing and model calculation, results can be obtained in a shorter time, providing timely decision support. BRIEF DESCRIPTION OF THE DRAWINGS
[0056] Figure 1 A flow chart of a computer-implemented method for evaluating the similarity of coal and gas outburst inversion provided by the present invention;
[0057] Figure 2 A computer-implemented system architecture diagram for evaluating the similarity of coal and gas outburst inversion provided by the present invention;
[0058] Figure 3 A schematic diagram of an electronic device provided by the present invention;
[0059] Figure 4 A schematic diagram of the computer-readable storage medium structure provided by the present invention. DETAILED DESCRIPTION
[0060] In order to make the technical means, creative features, objectives and effects achieved by the present invention easy to understand, in the description of the present invention, it should be noted that the terms "center", "up", "down", "left", "right", "vertical", "horizontal", "inside", "outside" and the like indicate the orientation or position relationship based on the orientation or position relationship shown in the accompanying drawings, which is only for the convenience of describing the present invention and simplifying the description, and does not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present invention. In addition, the terms "No. 1", "No. 2" and "No. 3" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance. The present invention is further explained below in conjunction with specific embodiments.
[0061] Example 1
[0062] See also Figure 1 An embodiment of the present invention provides a computer-implemented method for evaluating the similarity of coal and gas outburst inversion, comprising the following specific steps:
[0063] Step S1: Collect relevant data of coal seams and gas outbursts, pre-process the collected relevant data of coal seams and gas outbursts, remove noise in the data and correct missing values;
[0064] Data related to coal seams and gas outbursts include but are not limited to: coal density, porosity, permeability, gas content and coal seam stress;
[0065] Step S2: establishing a coal and gas outburst inversion model based on the physical property parameters of the coal seam, and optimizing the parameters of the coal and gas outburst inversion model;
[0066] Based on the physical parameters of coal seams, a coal and gas outburst inversion model is established, including: wave model, gas flow model and stress balance model;
[0067] The specific formula of the volatility model is:
[0068] ,
[0069] in, and represents the Lamé constant, which is the elastic constant of the material and describes the elastic properties of the material. represents the gradient operator, represents partial derivative, t represents time, and u represents displacement, which is used to describe the displacement of each point in the coal seam. represents the density of coal, represents the volume ratio of coal pores, that is, the ratio of pore volume to total volume, k represents the permeability of coal, that is, the ability of fluid to pass through coal, C g Indicates gas content, i.e. the concentration of gas in unit volume of coal;
[0070] The specific formula of the gas flow model is:
[0071] ,
[0072] Where v represents the gas velocity, and D represents the diffusion coefficient, which describes the diffusion rate of gas in coal. , p g Indicates gas pressure, It represents gas viscosity, describing the internal friction when gas flows, g represents gravitational acceleration, Indicates gas density;
[0073] The specific formula of the stress balance model is:
[0074] ,
[0075] in, Represents the stress tensor, describing the magnitude and direction of coal deformation, ,in Represents the identity matrix, a matrix with one diagonal element of 1 and other elements of 0, usually used to indicate invariance in a specific operation. represents the strain tensor, which represents the components of strain in different directions, , T represents transpose.
[0076] The specific formula for parameter optimization of coal and gas outburst inversion model is:
[0077] ,
[0078] Where f(x) represents the target optimization function, that is, the sum of errors that needs to be minimized, min represents the minimum operator, and the value of the objective function is minimized by adjusting the model parameters, y i represents the true value of the ith data point in the coal and gas outburst area, g(x i ) represents the predicted value of the coal and gas outburst inversion model at the i-th data point, and n represents the number of data points in the coal and gas outburst area.
[0079] Step S3: numerically simulate the coal and gas outburst wave field to obtain the spatial distribution of coal seam physical parameters, perform multi-scale analysis on the inversion results, and extract the characteristics of each scale;
[0080] The specific steps of step S3 are:
[0081] Step S301: Use the coal and gas outburst inversion model to perform numerical simulation on the wave field in the coal to obtain the spatial distribution of coal physical property parameters. The specific formula of the numerical simulation is:
[0082] ,
[0083] Where f represents the numerical simulation of the wave field in coal, that is, the source term, the influence of external excitation or source, represents the diffusion term of wave propagation in coal, represents the coal medium parameters, represents the gradient of the displacement, that is, the rate of change of the displacement in space, represents the inertia term of the wave, v b represents the wave velocity, that is, the propagation speed of the wave in the coal medium, It represents the second derivative of displacement with respect to time, that is, the acceleration of fluctuations changing with time;
[0084] Step S302: Perform multi-scale transformation on the spatial distribution of coal physical property parameters, extract the characteristics of each scale, and analyze the changes of physical property parameters at different scales.
[0085] Multi-scale transformation methods such as wavelet transform, scale-invariant feature transform (SIFT), etc.
[0086] Step S4: Calculate the similarity between the coal and gas outburst inversion results and the actual data, and evaluate the accuracy of the coal and gas outburst inversion model;
[0087] The similarity calculation formula between the coal and gas outburst inversion result and the actual data in step S4 is:
[0088] ,
[0089] Among them, Sim represents the similarity between the coal and gas outburst inversion results and the actual data. represents the impact factor of the jdth stage, 1≤jd≤4, f sj Indicates actual data of coal and gas outburst;
[0090] Coal and gas outbursts are divided into four stages, namely: outburst energy storage, excitation, gas desorption and expansion, and driving outburst. 1) Outburst energy storage: Under the current general pursuit of large-scale mining (comprehensive mining and top coal caving mining technology) or the use of tunneling machines for rapid excavation, a strong ground stress concentration phenomenon will inevitably form. Under the action of gradually increasing concentrated stress, the soft rock is broken and slightly slipped, resulting in pressure conduction, so that the stress concentration point gradually shifts to the hard rock that plays a major supporting role. Continuous artificial mining makes the bearing capacity of the hard rock increasingly larger, accumulating a large amount of impact energy. Since the concentrated stress does not exceed the compressive strength of the rock mass that plays a major supporting role, the roof still maintains a stable equilibrium state. The permeability of the compressed coal seam is further reduced than that of the original coal seam, resulting in a decrease in the amount of coal seam gas outburst, which makes the operators mistakenly believe that the working face is still very safe at this time. 2) Excitation: It is the artificial stress superposition and movement that breaks this balance, causing the concentrated stress to exceed the compressive strength of the coal rock, which plays the main supporting role. The hard rock mass is destroyed instantly, and the strong energy generated by the concentrated stress is suddenly released, which has a large-scale impact on the coal rock; 3) Gas desorption and expansion: The large-scale and strong impact energy crushes the coal body, causing the permeability to suddenly change from low to high, and the adsorbed gas suddenly desorbs in large quantities and quickly to become free gas. The free gas quickly gathers and expands in the broken coal body, generating expansion energy that drives the outburst; 4) Driving outburst: The expanded free gas in the crushed coal body seeks the weakest point of the working face, and erupts mixed with broken coal, causing the outburst. However, the existing technology ignores the factor of artificial disturbance when conducting data analysis.
[0091] There are two situations in which the outburst ends. One is that during the expansion of the stripping and crushing of the coal body, a harder coal body is encountered or the ground stress and gas pressure are reduced to a level that is not enough to destroy the coal body. The other is that the outburst channel is blocked, and its hole wall is supported by the outburst to establish a new arch balance or hole. Although the outburst stops at this time, the process of gas gushing from the pressure relief area around the outburst hole and the outburst coal has not stopped, and the abnormal gas gushing will continue for a considerable period of time. After the outburst stops, the crushed coal and pulverized coal settle, and the gas in them continues to desorb and flow into the roadway. At the same time, due to the coal ejection, a cavity of a special shape is formed in the coal body. Although the gas pressure gradient between the cavity wall and the hole mouth cannot throw out the coal, it can continue to crush the coal body involved in the cavity and intensify the gas release. This is why there is a large amount of gas gushing for a considerable period of time after the outburst.
[0092] The concentration of ground stress is due to the superposition of the concentrated stress generated by manual operations and the residual structural stress in the coal body. The harder the coal seam roof is, the greater the bearing capacity is, the stronger the impact force generated when it breaks, the more sudden the outbreak is, and the more destructive it is to the original structure of the coal seam. At present, the widespread application of tunneling machines and fully mechanized top coal caving technology in coal mines has greatly aggravated the stress tension of the working face. The more mining is done and the faster the tunneling speed is, the more concentrated the stress is and the greater the concentrated stress is.
[0093] The accuracy of the coal and gas outburst inversion model is evaluated as follows: when 0.8≤Sim≤1, the similarity between the coal and gas outburst inversion is evaluated as low, when 0.4≤Sim<0.8, the similarity between the coal and gas outburst inversion is evaluated as medium, and when 0≤Sim<0.4, the similarity between the coal and gas outburst inversion is evaluated as high.
[0094] Step S5: Based on the similarity results, a coal and gas outburst hazard assessment model is established, and the hazard assessment results are output.
[0095] Example 2
[0096] See also Figure 2 , another embodiment provided by the present invention: a computer-implemented system for evaluating the similarity of coal and gas outburst inversion, comprising: a data acquisition module, a model building module, a numerical simulation module, a similarity calculation module and a hazard assessment module;
[0097] The data acquisition module is used to collect data related to coal seams and gas outbursts, and pre-process the collected data related to coal seams and gas outbursts;
[0098] The model building module is used to build a coal and gas outburst inversion model based on the physical property parameters of the coal seam, and optimize the parameters of the coal and gas outburst inversion model;
[0099] The numerical simulation module is used to perform numerical simulation on the coal and gas outburst wave field, obtain the spatial distribution of coal seam physical property parameters, and perform multi-scale analysis on the inversion results;
[0100] The similarity calculation module is used to calculate the similarity between the coal and gas outburst inversion results and the actual data, and evaluate the accuracy of the coal and gas outburst inversion model;
[0101] The hazard assessment module is used to establish a coal and gas outburst hazard assessment model based on the similarity results and output the hazard assessment results.
[0102] The model building module includes an inversion model building unit and an inversion model optimization unit;
[0103] The inversion model building unit is used to build a coal and gas outburst inversion model based on the physical property parameters of the coal seam;
[0104] The inversion model optimization unit is used to optimize the parameters of the coal and gas outburst inversion model.
[0105] Example 3
[0106] Figure 3 This is a schematic diagram of the structure of an electronic device provided by an example of this application. Figure 3 As shown, according to another aspect of the present application, an electronic device 500 is also provided. The electronic device 500 may include one or more processors and one or more memories. The memories store computer readable codes, and when the computer readable codes are executed by one or more processors, a computer-implemented method for evaluating the similarity of coal and gas outburst inversion may be executed.
[0107] The method or system according to the embodiment of the present application can also be used by Figure 3 The electronic device architecture shown in FIG. Figure 3 As shown, the electronic device 500 may include a bus 501, one or more CPUs 502, ROM 503, RAM 504, a communication port 505 connected to a network, an input / output component 506, a hard disk 507, etc. The storage device in the electronic device 500, such as ROM 503 or hard disk 507, may store a computer-implemented method for evaluating the similarity of coal and gas outburst inversion provided by the present application. A computer-implemented method for evaluating the similarity of coal and gas outburst inversion, for example, includes: collecting relevant data of coal seams and gas outbursts, preprocessing the collected relevant data of coal seams and gas outbursts, establishing a coal and gas outburst inversion model based on the physical property parameters of the coal seams, and optimizing the parameters of the coal and gas outburst inversion model, numerically simulating the coal and gas outburst wave field to obtain the spatial distribution of the physical property parameters of the coal seams, performing multi-scale analysis on the inversion results, calculating the similarity between the coal and gas outburst inversion results and the actual data, evaluating the accuracy of the coal and gas outburst inversion model, and establishing a coal and gas outburst hazard assessment model based on the similarity results, and outputting the hazard assessment results. Furthermore, the electronic device 500 may also include a user interface 508. Figure 3 The architecture shown is only exemplary and can be omitted according to actual needs when implementing different devices. Figure 3 One or more components of an electronic device are shown.
[0108] Example 4
[0109] Figure 4 This is a schematic diagram of a storage medium structure provided by an example of this application. Figure 4As shown, a storage medium 600 according to an embodiment of the present application is shown. Computer-readable instructions are stored on the storage medium 600. When the computer-readable instructions are executed by the processor, a computer-implemented method for evaluating the similarity of coal and gas outburst inversion according to an embodiment of the present application described with reference to the above figures can be executed. The storage medium 600 includes, but is not limited to, for example, volatile memory and / or non-volatile memory. Volatile memory may include, for example, random access memory (RAM) and cache memory (cache). Non-volatile memory may include, for example, read-only memory (ROM), hard disk, flash memory, etc.
[0110] It should be understood that the methods, apparatuses, and devices of the present application can be implemented in many ways. For example, the methods, apparatuses, and devices of the present application can be implemented by software, hardware, firmware, or any combination of software, hardware, and firmware. The above order of steps for the method is only for illustration, and the steps of the method of the present application are not limited to the order specifically described above unless otherwise specified. In addition, in some embodiments, the present application can also be implemented as a program recorded in a recording medium, which includes machine-readable instructions for implementing the method according to the present application. Therefore, the present application also covers a recording medium storing a program for executing the method according to the present application.
[0111] In addition, the parts of the above-mentioned technical solutions provided in the embodiments of the present application that are consistent with the implementation principles of the corresponding technical solutions in the prior art are not described in detail to avoid excessive redundancy.
[0112] The specific implementation modes as described above further describe the purpose, technical solutions and beneficial effects of the present invention in detail. It should be understood that the above description is only a specific implementation mode of the present invention and is not intended to limit the present invention. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.
Claims
1. A computer-implemented method for evaluating the similarity of coal and gas outburst inversion, characterized in that: include: Collect relevant data on coal seams and gas outbursts, and pre-process the collected relevant data on coal seams and gas outbursts; A coal and gas outburst inversion model is established based on the physical properties of coal seams, and the parameters of the coal and gas outburst inversion model are optimized; Numerical simulation of coal and gas outburst wave fields was performed to obtain the spatial distribution of coal seam physical parameters, and multi-scale analysis of the inversion results was performed; Calculate the similarity between the coal and gas outburst inversion results and the actual data, and evaluate the accuracy of the coal and gas outburst inversion model; According to the similarity results, a coal and gas outburst hazard assessment model is established and the hazard assessment results are output; The coal and gas outburst inversion model is established based on the physical property parameters of the coal seam, including: The first model, the second model and the third model; The specific formula of the first model is: , in, and represents the Lamé constant, represents the gradient operator, represents partial derivative, t represents time, u represents displacement, represents the density of coal, represents the volume ratio of coal pores, k represents the permeability of coal, C g Indicates gas content; The specific formula of the second model is: , Where v represents the gas flow rate, D represents the diffusion coefficient, , p g Indicates gas pressure, represents gas viscosity, g represents gravitational acceleration, Indicates gas density; The specific formula of the third model is: , in, represents the stress tensor, ,in represents the identity matrix, represents the strain tensor, , T represents transpose; The parameter optimization of the coal and gas outburst inversion model includes: The specific formula for parameter optimization of coal and gas outburst inversion model is: , Among them, f(x) represents the target optimization function, min represents the minimum operator, and the value of the target function is minimized by adjusting the model parameters. i represents the true value of the ith data point in the coal and gas outburst area, g(x i ) represents the predicted value of the coal and gas outburst inversion model at the i-th data point, and n represents the number of data points in the coal and gas outburst area.
2. A computer-implemented method for evaluating the similarity of coal and gas outburst inversion according to claim 1, characterized in that: The numerical simulation of the coal and gas outburst wave field includes: The coal and gas outburst inversion model is used to numerically simulate the wave field in the coal. The specific formula of the numerical simulation is: , Where, f represents the numerical simulation of the wave field in coal, represents the diffusion term of wave propagation in coal, represents the coal medium parameters, represents the gradient of displacement, represents the inertia term of the wave, v b represents the wave speed, Represents the second derivative of displacement with respect to time.
3. A computer-implemented method for evaluating the similarity of coal and gas outburst inversion according to claim 2, characterized in that: The calculation of the similarity between the coal and gas outburst inversion results and the actual data includes: The similarity calculation formula between the coal and gas outburst inversion results and the actual data is: , Among them, Sim represents the similarity between the coal and gas outburst inversion results and the actual data. represents the impact factor of the jdth stage, 1≤jd≤4, f sj Represents actual data of coal and gas outburst.
4. A computer-implemented method for evaluating the similarity of coal and gas outburst inversion according to claim 3, characterized in that: The accuracy of the coal and gas outburst inversion model is evaluated, including: When 0.8≤Sim≤1, the similarity between coal and gas outburst inversion is evaluated as low similarity, when 0.4≤Sim<0.8, the similarity between coal and gas outburst inversion is evaluated as medium similarity, and when 0≤Sim<0.4, the similarity between coal and gas outburst inversion is evaluated as high similarity.
5. A computer-implemented system for evaluating the inversion similarity of coal and gas outburst, used to implement a computer-implemented method for evaluating the inversion similarity of coal and gas outburst as described in any one of claims 1 to 4, characterized in that: include: Data acquisition module, model building module, numerical simulation module, similarity calculation module and risk assessment module; The data acquisition module is used to collect data related to coal seams and gas outbursts, and pre-process the collected data related to coal seams and gas outbursts; The model building module is used to build a coal and gas outburst inversion model based on the physical property parameters of the coal seam, and optimize the parameters of the coal and gas outburst inversion model; The numerical simulation module is used to perform numerical simulation on the coal and gas outburst wave field, obtain the spatial distribution of coal seam physical property parameters, and perform multi-scale analysis on the inversion results; The similarity calculation module is used to calculate the similarity between the coal and gas outburst inversion results and the actual data, and evaluate the accuracy of the coal and gas outburst inversion model; The hazard assessment module is used to establish a coal and gas outburst hazard assessment model based on the similarity results and output the hazard assessment results.
6. A computer-implemented system for evaluating coal and gas outburst inversion similarity as claimed in claim 5, characterized in that: The model building module includes an inversion model building unit and an inversion model optimization unit; The inversion model building unit is used to build a coal and gas outburst inversion model based on the physical property parameters of the coal seam; The inversion model optimization unit is used to optimize the parameters of the coal and gas outburst inversion model.
7. An electronic device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the processor implements the steps of a computer-implemented method for evaluating the similarity of coal and gas outburst inversion described in any one of claims 1-4.
8. A computer-readable storage medium, characterized in that: Computer instructions are stored thereon, and when the computer instructions are executed, the steps of a computer-implemented method for evaluating the similarity of coal and gas outburst inversion described in any one of claims 1-4 are executed.
Citation Information
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