Method, device, equipment and medium for estimating water content and water-containing position of mine
The resistivity data collected and inverted by the Winner device and corrected the three-dimensional resistivity model with geological data, the problem of difficulty in continuously estimating the water content and water content position during the mine recovery process is solved, and high-precision mine water damage monitoring and early warning is achieved.
Patent Information
- Application Number
- CN202510324038.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-03-19
- Publication Date
- 2025-04-25
AI Technical Summary
The prior art is difficult to continuously estimate the water content and water content during mine recovery, resulting in the risk of geological disasters when the mine production is safe.
The underground resistivity of the working surface is collected through the Winner device, combined with the physical properties of different underground geology, and the three-dimensional resistivity distribution model of the mine is interpreted and corrected by the geological data collected during the preset time period. Finally, the water content and water content position of the mine are estimated based on the modified three-dimensional model.
The continuous estimation of the mine water content and water content location is achieved, the estimation accuracy is improved, and the geological disaster risk in mine safety production is reduced.
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Figure CN119882076A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the field of coal mining safety technology, and in particular to a method, device, equipment and medium for estimating the water content and water position of a mine. Background Art
[0002] Among the mine water hazards, roof water before mining and old empty water after mining are important geological hazards that plague mine safety production. At present, the estimation of roof water and old empty water mainly relies on data analysis, field investigation, drilling, geophysical exploration and analytical calculation. However, the above methods are limited to estimating the water content of the mine before or after mining, and it is impossible to continuously estimate the water content and water location of the mine during the mining process. Therefore, there is an urgent need for a method that can continuously estimate the water content and water location of the mine. Summary of the invention
[0003] In view of the above-mentioned defects or deficiencies in the relevant technology, the purpose of this application is to provide a method, device, equipment and medium for estimating the water content and water content location of a mine, which can continuously estimate the water content and water content location of the mine and ensure the estimation accuracy of the water content and water content location of the mine.
[0004] To achieve the above objectives, this application provides the following solutions: In the first aspect, the present application provides a method for estimating the water content and water location of a mine, comprising: obtaining the resistivity of the underground of the working face collected by a Wenner device; inverting the resistivity in combination with the physical properties of different underground geological features, and interpreting it to obtain a three-dimensional resistivity distribution model of the mine; obtaining geological data collected at preset time intervals to correct the three-dimensional resistivity distribution model to obtain a current three-dimensional model of the mine; estimating the water content and water location of the mine based on the current three-dimensional model of the mine to obtain an estimation result.
[0005] Optionally, obtaining the resistivity of the underground of the working surface collected by the Wenner device includes: determining the distribution position of the Wenner device on the working surface based on satellite point cloud data to obtain multiple electrode observation points; the electrodes of the Wenner device are correspondingly distributed on the multiple electrode observation points; and obtaining multiple resistivity values of different values detected by the Wenner device while alternately applying a power supply voltage to the electrodes of the Wenner device.
[0006] Optionally, the distribution position of the Wenner device on the working surface is determined based on the satellite point cloud data to obtain a plurality of electrode observation points, including: acquiring satellite point cloud data corresponding to the working surface; processing the satellite point cloud data based on a geographic information system to obtain a digital terrain model corresponding to the working surface; adjusting a preset arrangement spacing of the Wenner device based on the terrain of the digital terrain model to obtain a plurality of electrode observation points matching the terrain of the digital terrain model.
[0007] Optionally, the resistivity is inverted in combination with the physical properties of different underground geological features to interpret a three-dimensional resistivity distribution model of the mine, including: removing noise and outliers of the multiple resistivity values with different values, and calibrating the multiple resistivity values with noise and outliers removed to obtain actual resistivity values with multiple different values; constructing an initial resistivity model based on a preset resistivity; the preset resistivity is an empirical value set based on historical geological data of the mine; using a numerical simulation algorithm and the initial resistivity model to predict the resistivity at the multiple electrode observation points to obtain predicted resistivity values with multiple different values; iteratively optimizing the initial resistivity model by minimizing the difference between the actual resistivity values with multiple different values and the predicted resistivity values with multiple different values to obtain the three-dimensional resistivity distribution model.
[0008] Optionally, after inverting the resistivity in combination with the physical properties of different underground geological features and interpreting the three-dimensional resistivity distribution model of the mine, the method further includes: acquiring first detection data collected by an engineering drilling method, and verifying the three-dimensional resistivity distribution model based on the first detection data to obtain a verification result; if the verification result is that the verification fails, re-inverting the resistivity in combination with the physical properties of different underground geological features, and interpreting the re-inverted three-dimensional resistivity distribution model.
[0009] Optionally, the geological data includes the geographical location of the mine, the air environment, the seismic offset and the geological structure; the three-dimensional resistivity distribution model is corrected by acquiring the geological data collected at intervals of a preset time period to obtain a current three-dimensional model of the mine, including: updating and adjusting the three-dimensional resistivity distribution model based on the geographical location of the mine, the air environment, the seismic offset and the geological structure collected at intervals of a preset time period to obtain the current three-dimensional model of the mine.
[0010] Optionally, the geological data includes water gushing volume, water pH value, heavy metal content and harmful gas content collected by engineering drilling method; the three-dimensional resistivity distribution model is corrected based on the geological data collected at preset time intervals to obtain the current three-dimensional model of the mine, including: updating and adjusting the three-dimensional resistivity distribution model based on the water gushing volume, water pH value, heavy metal content and harmful gas content collected at preset time intervals to obtain the current three-dimensional model of the mine.
[0011] In a second aspect, the present application provides a device for estimating the water content and water position in a mine, comprising: An acquisition module, used to obtain the resistivity of the underground of the working surface collected by the Wenner device; An interpretation module is used to invert the resistivity in combination with the physical properties of different underground geology to interpret and obtain a three-dimensional resistivity distribution model of the mine; A correction module, used to obtain geological data collected at preset time intervals to correct the three-dimensional resistivity distribution model, so as to obtain a current three-dimensional model of the mine; The estimation module is used to estimate the water content and water location of the mine based on the current three-dimensional model of the mine to obtain an estimation result.
[0012] In a third aspect, the present application provides a computer device comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of any of the above-described methods for estimating the water content and water location in a mine.
[0013] In a fourth aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of any of the above-mentioned methods for estimating the water content and water location in a mine.
[0014] According to the specific embodiments provided in this application, this application discloses the following technical effects: The present application provides a method, device, equipment and medium for estimating the water content and water content position of a mine. The resistivity collected by a Wenner device is inverted to interpret a three-dimensional resistivity distribution model of the mine; the three-dimensional resistivity distribution model is corrected by obtaining geological data collected at preset time intervals to obtain a current three-dimensional model of the mine; the water content and water content position of the mine are estimated by the current three-dimensional model of the mine to obtain an estimation result; on the one hand, by inverting the resistivity of different geology underground at the working face, a relatively accurate three-dimensional resistivity distribution model can be interpreted, which can improve the efficiency of subsequent correction of the three-dimensional resistivity distribution model to a certain extent; on the other hand, by correcting the three-dimensional resistivity distribution model with geological data collected at preset time intervals, the three-dimensional resistivity distribution model can be made to better match the current geological environment of the mine, thereby realizing continuous estimation of the water content and water content position of the mine and ensuring the estimation accuracy of the water content and water content position of the mine. BRIEF DESCRIPTION OF THE DRAWINGS
[0015] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.
[0016] Figure 1 A schematic diagram of a flow chart of a method for estimating water content and water location in a mine provided in an embodiment of the present application; Figure 2 A schematic diagram of functional modules of a device for estimating water content and water position in a mine provided in one embodiment of the present application; Figure 3 A schematic diagram of the structure of a computer device provided in one embodiment of the present application. DETAILED DESCRIPTION
[0017] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.
[0018] In order to make the above-mentioned objects, features and advantages of the present application more obvious and easy to understand, the present application is further described in detail below with reference to the accompanying drawings and specific implementation methods.
[0019] In an exemplary embodiment, Figure 1As shown, a method for estimating the water content and water location of a mine is provided. The method is executed by a computer device, and can be executed by a computer device such as a terminal or a server alone, or by a terminal and a server together. In the embodiment of the present application, the method is executed by a server alone. The method for estimating the water content and water location of a mine includes the following steps S10 to S40. Among them: Step S10, obtaining the underground resistivity of the working surface collected by the Wenner device.
[0020] In the example embodiment, the Wenner device is an electrode arrangement. Common electrode arrangements include a four-electrode arrangement three-potential system and a three-electrode arrangement two-potential system. Among them, the embodiment of the present application adopts a four-electrode arrangement three-potential system, that is, four electrodes are arranged equidistantly and the four electrodes are distributed in a cross shape. The two outer electrodes are used for power supply (current electrodes), and the two inner electrodes are used for measuring potential differences (voltage electrodes). When measuring, current is injected into the ground through the two outer electrodes, and the two inner electrodes are used to detect the potential difference generated. Since the electrode spacing is fixed, this method is particularly suitable for obtaining resistivity under uniform formations.
[0021] It should be noted that, in order to improve the measurement accuracy, in the embodiment of the present application, soil is wrapped outside the four electrodes, and then the electrodes wrapped with soil are inserted into the ground of the mine. And the resistivity of the underground working surface collected by the Wenner device in the embodiment of the present application is not the real underground resistivity of the mine, but a comprehensive response based on the four-electrode arrangement three-potential system, reflecting the average resistivity characteristics of all geological materials from the mine surface to a certain depth.
[0022] In the embodiment of the present application, the working surface refers to a specific operating area where electrodes are placed and resistivity measurements are performed, or an operating area where other geological data are collected, and the operating area is generally a specific ground portion. When the Wenner device collects the resistivity of the working surface, the underground resistivity data is obtained by alternately applying a power supply voltage and measuring resistance to the electrodes of the Wenner device.
[0023] Step S20, inverting the resistivity in combination with the physical properties of different underground geology to obtain a three-dimensional resistivity distribution model of the mine.
[0024] In the example embodiment, the physical properties of different underground geological features are known geological information, such as resistivity, polarizability, density, magnetism, elastic wave velocity, and thermal conductivity. The embodiment of the present application uses known resistivity, that is, the resistivity value of dry rock is greater than 1000 Ω·m, the resistivity range of saturated clay and mudstone is 1Ω·m to 100 Ω·m, and the resistivity of aquifers or groundwater bodies is less than 10 Ω·m; the resistivity of the underground working surface collected by the Wenner device is inverted to infer the underground structure and material composition of the working area.
[0025] In addition, the embodiments of the present application can also use an induced polarization detection device to identify underground materials with specific polarization characteristics; that is, when an electric current passes through a stratum, certain minerals will be charged and slowly release the charge after the current is cut off. This phenomenon can be detected and used to distinguish different geological bodies. In the embodiments of the present application, an induced polarization detection device and the above-mentioned four-electrode arrangement three-potential system are used to measure the apparent polarizability of the underground medium. When performing induced polarization measurements, the change in potential difference over time is measured immediately after the power is turned off. The change in potential difference over time reflects the underground induced polarization effect, that is, the characteristics of rock and mineral response to electric current. Based on the data on the change in resistivity and potential difference over time, the apparent polarizability can be calculated.
[0026] By combining apparent polarizability and resistivity, the underground structure and material composition beneath the working face can be comprehensively inferred, which can ensure the accuracy of the estimation of the water content and water location of the mine to a certain extent.
[0027] Optionally, the embodiments of the present application can invert the polarization characteristics of different underground geological features to obtain an induced polarization image, identify specific types of ore or other geological features through the induced polarization image, invert the resistivity to obtain a resistivity map, and combine the induced polarization image with the resistivity map to interpret a three-dimensional resistivity distribution model.
[0028] It should be noted that the resistivity is inverted using a two-dimensional inversion method in the embodiment of the present application, and the embodiment of the present application is completed with the assistance of Surfer software.
[0029] Step S30, obtaining geological data collected at preset time intervals to correct the three-dimensional resistivity distribution model, and obtaining a current three-dimensional model of the mine.
[0030] In an exemplary embodiment, the geological data includes the mine's geographical location, air environment, seismic offset, and geological structure; or, the geological data includes water inflow, water pH, heavy metal content, and harmful gas content collected through engineering drilling methods.
[0031] Optionally, the geological data collected at preset time intervals are compared with historical geological data to obtain geological data with data changes, and the three-dimensional resistivity distribution model is corrected and updated according to the geological data with data changes to obtain the current three-dimensional model of the mine.
[0032] Step S40, estimating the water content and water location of the mine based on the current three-dimensional model of the mine to obtain an estimation result.
[0033] In the example embodiment, the water in the mine includes roof water or old goaf water. Roof water refers to groundwater in the aquifer above the coal seam during the coal mining process. Old goaf water refers to old goaf water formed when some past coal mining activities (including the mining of this mine and other small coal mines) leave behind a part of the goaf during the coal mining process and these goafs are filled with later groundwater or surface water.
[0034] The embodiment of the present application utilizes the constructed current three-dimensional model of the mine to detect the roof water or old empty water in the mine, and estimates the volume and position of the roof water or old empty water.
[0035] Implement the above-mentioned steps S10 to S40, invert the resistivity collected by the Wenner device, and interpret the three-dimensional resistivity distribution model of the mine; correct the three-dimensional resistivity distribution model by acquiring geological data collected at preset time intervals to obtain the current three-dimensional model of the mine; estimate the water content and water content position of the mine through the current three-dimensional model of the mine to obtain an estimation result; on the one hand, by inverting the resistivity of different geology underground at the working face, a more accurate three-dimensional resistivity distribution model can be interpreted, which can improve the efficiency of subsequent correction of the three-dimensional resistivity distribution model to a certain extent; on the other hand, by correcting the three-dimensional resistivity distribution model with geological data collected at preset time intervals, the three-dimensional resistivity distribution model can be made to better match the current geological environment of the mine, realize continuous estimation of the water content and water content position of the mine, and ensure the estimation accuracy of the water content and water content position of the mine.
[0036] In another exemplary embodiment of the present application, in order to accurately arrange the Wenner device on the working surface and improve the accuracy of resistivity acquisition, the above step S10 is replaced by the following steps S101 to S102: Step S101, determining the distribution position of the Wenner device on the working surface based on the satellite point cloud data to obtain a plurality of electrode observation points; the electrodes of the Wenner device are correspondingly distributed on the plurality of electrode observation points.
[0037] In an example embodiment, a working face corresponding to a mine is determined on a geographic information system; then, satellite point cloud data of the working face is acquired from a high-resolution satellite or an aerial lidar; then, a digital terrain model of the working face is generated using the satellite point cloud data; then, the preset arrangement spacing of the Wenner device is adjusted according to the terrain of the digital terrain model to obtain a plurality of electrode observation points that match the terrain of the digital terrain model.
[0038] Optionally, for the convenience and layout efficiency in actual operation, the embodiment of the present application can plan the electrode spacing and / or layout path of the Wenner device on the digital terrain model in advance according to the target depth and resolution requirements of geological exploration. In addition, in order to more accurately locate the electrode observation point, the satellite image can be combined with the satellite point cloud data, and the spectral information provided by the remote sensing image can be used to assist in identifying surface features (such as rock outcrops, vegetation coverage, etc.), thereby further optimizing the electrode placement position of the Wenner device.
[0039] When actually arranging the electrodes of the Wenner device, GPS or other high-precision positioning equipment can be used to record the actual coordinate position of each electrode, providing an actual coordinate reference for the subsequent interpretation of the three-dimensional resistivity distribution model.
[0040] Step S102, obtaining a plurality of resistivity values of different values detected by the Wenner device while alternately applying a source voltage to the electrodes of the Wenner device.
[0041] In an exemplary embodiment, the alternating application of the power supply voltage is to change the position of the power supply electrode or adjust the electrode spacing to obtain information at different depths and lateral positions, for example, by moving the entire electrode group of the Wenner device to detect different underground areas, or by changing the distance between the electrodes to detect strata at different depths. Each change will result in a different current path and distribution, thereby obtaining a different value of resistivity.
[0042] It should be noted that by changing the position of the power supply electrode or adjusting the electrode spacing, a series of resistivities can be obtained. Through a series of resistivities, a resistivity map of the underground geological structure can be gradually established, providing more accurate data support for the subsequent inversion interpretation of the three-dimensional resistivity distribution model.
[0043] In another exemplary embodiment of the present application, in order to improve the accuracy of inversion, the above step S20 is replaced by the following steps S201 to S204, namely: Step S201 , removing noise and abnormal values of multiple resistivity values of different values, and calibrating the multiple resistivity values of different values after removing noise and abnormal values, to obtain multiple actual resistivity values of different values.
[0044] Step S202, constructing an initial resistivity model based on a preset resistivity; the preset resistivity is an empirical value set based on historical geological data of the mine.
[0045] Step S203, using a numerical simulation algorithm and an initial resistivity model to predict the resistivity at multiple electrode observation points, to obtain a plurality of predicted resistivities with different values.
[0046] Step S204, iteratively optimizing the initial resistivity model by minimizing the difference between the actual resistivity of multiple different values and the predicted resistivity of multiple different values, to obtain a three-dimensional resistivity distribution model.
[0047] In the example embodiment, the data of the constructed initial resistivity model includes, but is not limited to: data of geological layers (such as coal seams, rock formations, etc.), location, thickness and permeability of aquifers, geological structures such as faults and fissures, historical water inflow records, hydrogeological parameters (such as permeability coefficient, water storage coefficient, etc.), etc.
[0048] Optionally, an embodiment of the present application adopts a numerical simulation algorithm (such as a finite element method FEM or a finite difference method FDM) and an initial resistivity model to predict the potential or resistivity response observed on the ground; the initial resistivity model is iteratively updated by minimizing the difference between multiple actual resistivities of different values and multiple predicted resistivities of different values, and a three-dimensional resistivity distribution model is obtained when a criterion for stopping the number of iterations is met (such as reaching a maximum number of iterations or a residual less than a certain threshold).
[0049] It should be noted that during the inversion process, it is also necessary to analyze the sensitivity distribution caused by the different distribution of electrodes of the Wenner device to determine which areas of the mine are most susceptible to resistivity changes, provide a basis for the subsequent planning of the Wenner device electrode distribution path, and then provide data support for optimizing the resistivity acquisition strategy.
[0050] In another exemplary embodiment of the present application, in order to verify the interpreted three-dimensional resistivity distribution model and improve the accuracy of the three-dimensional resistivity distribution model, step S210 is further included after the above step S20, namely: Step S210, obtaining the first detection data collected by the engineering drilling method, and verifying the three-dimensional resistivity distribution model based on the first detection data to obtain a verification result; if the verification result is that the verification fails, the resistivity is re-inverted in combination with the physical properties of different underground geological conditions, and the re-inverted three-dimensional resistivity distribution model is interpreted.
[0051] In an exemplary embodiment, the first detection data includes core samples, the depth of groundwater appearance recorded during the drilling process, the water pressure encountered in the borehole, changes in underground temperature, borehole location coordinates, the angle of the borehole deviation from the vertical direction, the hole length, the drilling progress, etc.
[0052] Optionally, the three-dimensional resistivity distribution model is verified using core samples. If the rock layer structure of the three-dimensional resistivity distribution model is consistent with the core samples, the verification is passed; if the rock layer structure of the three-dimensional resistivity distribution model is inconsistent with the core samples, the verification fails, and the resistivity is re-inverted in combination with the physical properties of different underground geological conditions, and the re-inverted three-dimensional resistivity distribution model is interpreted.
[0053] In another exemplary embodiment of the present application, when the geological data includes the geographical location of the mine, the air environment, the seismic offset and the geological structure, in order to continuously estimate the water content and the water content location of the mine and ensure the estimation accuracy of the water content and the water content location of the mine, the above-mentioned step S30 may include: updating and adjusting the three-dimensional resistivity distribution model based on the geographical location of the mine, the air environment, the seismic offset and the geological structure collected at preset time intervals to obtain the current three-dimensional model of the mine.
[0054] It should be noted that the seismic offset and geological structure are affected by the location, thickness, permeability, porosity and other data of the aquifer. In practical applications, the location, thickness, permeability, porosity and other data of the aquifer are statistically analyzed, and the changes in the groundwater level and the chemical composition and pollution data of the groundwater are dynamically monitored. The above data are then imported into the modeling software, and the three-dimensional resistivity distribution model is updated and adjusted to obtain the current three-dimensional model of the mine.
[0055] In another exemplary embodiment of the present application, when the geological data includes the water flow, pH value, heavy metal content and harmful gas content collected by the engineering drilling method, in order to continuously estimate the water content and water location of the mine and ensure the estimation accuracy of the water content and water location of the mine, the above-mentioned step S30 may include: updating and adjusting the three-dimensional resistivity distribution model based on the water flow, pH value, heavy metal content and harmful gas content collected at preset time intervals to obtain the current three-dimensional model of the mine.
[0056] It should be noted that the roof water and old empty water in the embodiment of the present application can appear simultaneously in the current three-dimensional model of the mine, or they can exist separately, depending on the geological conditions, hydrogeological characteristics and mining history of the mine. By integrating geological data and dynamic monitoring, the distribution of roof water and old empty water can be accurately distinguished and estimated in the current three-dimensional model of the mine, providing a scientific basis for mine water hazard prevention and control.
[0057] Based on the same inventive concept, the embodiment of the present application also provides a mine water content and water position estimation device for implementing the mine water content and water position estimation method involved above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations in one or more embodiments of the mine water content and water position estimation device provided below can refer to the limitations of the mine water content and water position estimation method above, and will not be repeated here.
[0058] In an exemplary embodiment, Figure 2As shown, a device for estimating the water content and water position of a mine is provided. The device 200 for estimating the water content and water position of a mine comprises: an acquisition module 210, an interpretation module 220, a correction module 230 and an estimation module 240; wherein, The acquisition module 210 is used to obtain the resistivity of the underground of the working surface collected by the Wenner device; The interpretation module 220 is used to invert the resistivity by combining the physical properties of different underground geology, and interpret the three-dimensional resistivity distribution model of the mine; The correction module 230 is used to obtain geological data collected at preset time intervals to correct the three-dimensional resistivity distribution model to obtain the current three-dimensional model of the mine; The estimation module 240 is used to estimate the water content and water location of the mine based on the current three-dimensional model of the mine to obtain an estimation result.
[0059] As an optional implementation, the acquisition module 210 is specifically used to determine the distribution position of the Wenner device on the working surface based on the satellite point cloud data to obtain multiple electrode observation points; the electrodes of the Wenner device are correspondingly distributed on the multiple electrode observation points; when the power supply voltage is alternately applied to the electrodes of the Wenner device, multiple resistivity values of different values detected by the Wenner device are obtained.
[0060] As an optional implementation, the acquisition module 210 is further specifically used to acquire satellite point cloud data corresponding to the working surface; process the satellite point cloud data based on a geographic information system to obtain a digital terrain model corresponding to the working surface; adjust the preset arrangement spacing of the Wenner device based on the terrain of the digital terrain model to obtain multiple electrode observation points that match the terrain of the digital terrain model.
[0061] As an optional implementation, the above-mentioned interpretation module 220 is specifically used to remove noise and outliers of multiple resistivity values with different values, and calibrate the multiple resistivity values with different values after removing noise and outliers to obtain multiple actual resistivity values with different values; construct an initial resistivity model based on a preset resistivity; the preset resistivity is an empirical value set based on the historical geological data of the mine; use a numerical simulation algorithm and the initial resistivity model to predict the resistivity at multiple electrode observation points to obtain multiple predicted resistivity values with different values; iteratively optimize the initial resistivity model by minimizing the difference between multiple actual resistivity values with different values and multiple predicted resistivity values with different values to obtain a three-dimensional resistivity distribution model.
[0062] As an optional implementation, the above-mentioned mine water content and water location estimation device 200 also includes a verification module, which is used to obtain first detection data collected by the engineering drilling method, and verify the three-dimensional resistivity distribution model based on the first detection data to obtain a verification result; if the verification result is that the verification fails, the resistivity is re-inverted in combination with the physical properties of different underground geological conditions, and the re-inverted three-dimensional resistivity distribution model is interpreted.
[0063] As an optional implementation, the above-mentioned geological data includes the geographical location of the mine, the air environment, the seismic offset and the geological structure; the above-mentioned correction module 230 is specifically used to update and adjust the three-dimensional resistivity distribution model based on the geographical location of the mine, the air environment, the seismic offset and the geological structure collected at preset time intervals to obtain the current three-dimensional model of the mine.
[0064] As an optional implementation, the above-mentioned geological data include the water inflow, water pH value, heavy metal content and harmful gas content collected by engineering drilling method; the above-mentioned correction module 230 is specifically used to update and adjust the three-dimensional resistivity distribution model based on the water inflow, water pH value, heavy metal content and harmful gas content collected at preset time intervals to obtain the current three-dimensional model of the mine.
[0065] Among them, this implementation method is implemented, by inverting the resistivity collected by the Wenner device, interpreting the three-dimensional resistivity distribution model of the mine; by obtaining the geological data collected at preset time intervals, the three-dimensional resistivity distribution model is corrected to obtain the current three-dimensional model of the mine; the water content and water content position of the mine are estimated by the current three-dimensional model of the mine to obtain an estimation result; on the one hand, by inverting the resistivity of different geological conditions underground at the working face, a more accurate three-dimensional resistivity distribution model can be interpreted, which can improve the efficiency of subsequent correction of the three-dimensional resistivity distribution model to a certain extent; on the other hand, by correcting the three-dimensional resistivity distribution model with the geological data collected at preset time intervals, the three-dimensional resistivity distribution model can be made to better match the current geological environment of the mine, realize continuous estimation of the water content and water content position of the mine, and ensure the estimation accuracy of the water content and water content position of the mine.
[0066] In an exemplary embodiment, a computer device is provided. The computer device may be a server or a terminal. The internal structure diagram thereof may be as follows: Figure 3As shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, referred to as I / O) and a communication interface. The processor, the memory and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store mine water content and water content location estimation data. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a method for estimating the water content and water content location of a mine is implemented.
[0067] Those skilled in the art will understand that Figure 3 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.
[0068] In an exemplary embodiment, a computer device is further provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps in the above-mentioned method embodiments when executing the computer program.
[0069] In an exemplary embodiment, a computer-readable storage medium is provided, storing a computer program, and when the computer program is executed by a processor, the steps in the above method embodiments are implemented.
[0070] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.
[0071] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM may be in various forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM).
[0072] The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. The non-relational database may include a distributed database based on blockchain, etc., but is not limited thereto. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but is not limited thereto.
[0073] The technical features of the above embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.
[0074] This article uses specific examples to illustrate the principles and implementation methods of this application. The description of the above embodiments is only used to help understand the method and core ideas of this application. At the same time, for those skilled in the art, according to the ideas of this application, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting this application.
Claims
1. A method for estimating the water content and water position in a mine, characterized in that: The method for estimating the water content and water position of a mine comprises: Obtain the resistivity of the underground of the working face collected by the Wenner device; Invert the resistivity in combination with the physical properties of different underground geology to interpret and obtain a three-dimensional resistivity distribution model of the mine; Acquire geological data collected at preset time intervals to modify the three-dimensional resistivity distribution model to obtain a current three-dimensional model of the mine; The water content and water location of the mine are estimated based on the current three-dimensional model of the mine to obtain an estimation result.
2. The method for estimating the water content and water position in a mine according to claim 1, characterized in that: The method of obtaining the resistivity of the underground working surface collected by the Wenner device includes: The distribution position of the Wenner device on the working surface is determined based on the satellite point cloud data to obtain a plurality of electrode observation points; the electrodes of the Wenner device are correspondingly distributed on the plurality of electrode observation points; When a power supply voltage is alternately applied to the electrodes of the Wenner device, a plurality of resistivities with different values detected by the Wenner device are obtained.
3. The method for estimating the water content and water position in a mine according to claim 2, characterized in that: The distribution position of the Wenner device on the working surface is determined based on the satellite point cloud data to obtain multiple electrode observation points, including: Obtain satellite point cloud data corresponding to the working surface; Processing the satellite point cloud data based on a geographic information system to obtain a digital terrain model corresponding to the working surface; The preset arrangement spacing of the Wenner device is adjusted based on the terrain of the digital terrain model to obtain a plurality of electrode observation points that match the terrain of the digital terrain model.
4. The method for estimating the water content and water position in a mine according to claim 2, characterized in that: The resistivity is inverted by combining the physical properties of different underground geology to interpret and obtain a three-dimensional resistivity distribution model of the mine, including: removing noise and abnormal values of the multiple resistivity values of different values, and calibrating the multiple resistivity values of different values after removing the noise and abnormal values to obtain multiple actual resistivity values of different values; Constructing an initial resistivity model based on a preset resistivity; the preset resistivity is an empirical value set based on historical geological data of the mine; The resistivity at the plurality of electrode observation points is predicted using a numerical simulation algorithm and the initial resistivity model to obtain a plurality of predicted resistivities with different values; The three-dimensional resistivity distribution model is obtained by iteratively optimizing the initial resistivity model by minimizing the difference between the actual resistivities of the multiple different values and the predicted resistivities of the multiple different values.
5. The method for estimating the water content and water position in a mine according to claim 4, characterized in that: After inverting the resistivity by combining the physical properties of different underground geologies and interpreting the three-dimensional resistivity distribution model of the mine, the method further includes: Acquire first detection data collected by an engineering drilling method, and verify the three-dimensional resistivity distribution model based on the first detection data to obtain a verification result; If the verification result is that the verification fails, the resistivity is re-inverted in combination with the physical properties of different underground geology, and the re-inverted three-dimensional resistivity distribution model is interpreted.
6. The method for estimating the water content and water position in a mine according to claim 1, characterized in that: The geological data include the mine's geographical location, air environment, seismic offset and geological structure; The three-dimensional resistivity distribution model is modified by acquiring geological data collected at preset intervals to obtain a current three-dimensional model of the mine, including: The three-dimensional resistivity distribution model is updated and adjusted based on the geographical location of the mine, the air environment, the seismic offset and the geological structure collected at preset time intervals to obtain a current three-dimensional model of the mine.
7. The method for estimating the water content and water position in a mine according to claim 1, characterized in that: The geological data include the water flow, pH value, heavy metal content and harmful gas content collected by engineering drilling method; The three-dimensional resistivity distribution model is modified by acquiring geological data collected at preset intervals to obtain a current three-dimensional model of the mine, including: The three-dimensional resistivity distribution model is updated and adjusted based on the water inflow, the pH value of the water, the heavy metal content and the harmful gas content collected at preset time intervals to obtain the current three-dimensional model of the mine.
8. A device for estimating water content and water position in a mine, characterized in that: The device for estimating the water content and water position of a mine comprises: An acquisition module, used to obtain the resistivity of the underground of the working surface collected by the Wenner device; An interpretation module is used to invert the resistivity in combination with the physical properties of different underground geology to interpret and obtain a three-dimensional resistivity distribution model of the mine; A correction module, used to obtain geological data collected at preset time intervals to correct the three-dimensional resistivity distribution model, so as to obtain a current three-dimensional model of the mine; The estimation module is used to estimate the water content and water location of the mine based on the current three-dimensional model of the mine to obtain an estimation result.
9. A computer device comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the method for estimating the water content and water location in a mine as described in any one of claims 1 to 7.
10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method for estimating the water content and water location in a mine as described in any one of claims 1 to 7 are implemented.