CN113932877A - Karst water level prediction method for mining area and terminal equipment - Google Patents
Karst water level prediction method for mining area and terminal equipment Download PDFInfo
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Abstract
The application is suitable for the technical field of mines, and provides a karst water level prediction method and terminal equipment for a mining area, which comprise the following steps: acquiring water level monitoring data, and generating initial water level values of all layers according to the water level monitoring data; boundary factors are obtained to determine boundary information of each layer; obtaining the influence value of the interference factor on each layer; the karst water level of each layer is determined based on the karst water level prediction model of the mining area, the initial water level value of each layer, the boundary information of each layer and the influence value of each layer, the karst water level in each layer of the mining area is predicted through the karst water level prediction model of the mining area and each piece of relevant information, the karst water level information under the current condition can be accurately analyzed, guidance is provided for mining work, disasters are reduced, and mining safety is improved.
Description
Technical Field
The application belongs to the technical field of mines, and particularly relates to a karst water level prediction method for a mining area and terminal equipment.
Background
The karst mine area forms karst in various forms due to the corrosion action of surface water and underground water, and the anti-infiltration damage capability of the rock is greatly reduced due to the existence of the karst channel. When the water level of the karst is too high, disasters such as water inrush, mud burst, ground collapse, river water backflow and the like can easily occur in the process of mine exploitation. In order to reduce the occurrence of the disasters, mining enterprises can monitor the karst water level in a mining area at present, but the karst water level condition cannot be predicted in advance, and early warning cannot be given in advance.
Disclosure of Invention
The embodiment of the application provides a method for predicting the karst water level of a mining area and terminal equipment, which can accurately predict the karst water level in the mining area.
In a first aspect, an embodiment of the present application provides a method for predicting a karst water level in a mine area, including:
acquiring water level monitoring data, and generating initial water level values of all layers according to the water level monitoring data;
boundary factors are obtained to determine boundary information of each layer;
obtaining the influence value of the interference factor on each layer;
and determining the karst water level of each layer based on the mine area karst water level prediction model, the initial water level value of each layer, the boundary information of each layer and the influence value of each layer.
In a possible implementation manner of the first aspect, the method for building a three-dimensional model of a geological structure of a mining area further includes:
constructing a mine karst water level prediction model;
and training the mining area karst water level prediction model based on the historical karst water level data to obtain the trained mining area karst water level prediction model.
In a possible implementation manner of the first aspect, the mining area karst water level prediction model is:
wherein S issFor water storage rate, KxxPermeability coefficient in the main direction of anisotropy, K, of the X axisyyPermeability coefficient in different main direction, K, being Y-axiszzIs the permeability coefficient of the different main direction of the Z axis, H is the waterhead value of the point (x, y, Z) at the time t, W is the influence value of the interference factor, t is the time, H is the water level value, omega is the calculation domain, H is the water level value0(x,y,z,t0) Is the initial water level value of the point (x, y, z), q (x, y, z, t) is the supply amount of the unit area on the boundary of the universal water head, cos (n, x), cos (n, y) and cos (n, z) are respectively the cosine of the included angle between the normal direction outside the water-resisting boundary and the coordinate axis direction, mu is the saturation difference or the water supply degree, q is the saturation difference or the water supply degreewIs the sum of the atmospheric rainfall infiltration supply and the groundwater evaporation amount on the unit area of the free surface, gamma2Is the universal head boundary, Γ3Is a water-blocking boundary.
In a possible implementation manner of the first aspect, the obtaining water level monitoring data and generating initial water level values of each layer according to the water level monitoring data includes:
dividing the mining area according to the hydrogeological structure characteristics of the mining area to obtain each layer of the mining area;
and determining initial water level values of the respective layers based on the water level monitoring data.
In a possible implementation manner of the first aspect, the obtaining an influence value of the interference factor on each tier includes:
obtaining interference factors;
and quantifying the interference factors to obtain the influence value of each layer.
In a possible implementation manner of the first aspect, the method for predicting the karst water level of the mining area further includes:
and generating a corresponding mining strategy according to the predicted karst water level condition.
In a possible implementation manner of the first aspect, the method for building a three-dimensional model of a geological structure of a mining area further includes:
and sending the mining strategy to a client.
In a second aspect, an embodiment of the present application provides a terminal device, including:
the first acquisition unit is used for acquiring water level monitoring data and generating initial water level values of all layers according to the water level monitoring data;
the second acquisition unit is used for acquiring boundary factors to determine the boundary information of each layer;
a third obtaining unit, configured to obtain an influence value of the interference factor on each tier;
and the prediction unit is used for determining the karst water level of each layer based on the mining area karst water level prediction model, the initial water level value of each layer, the boundary information of each layer and the influence value of each layer.
In a third aspect, an embodiment of the present application provides a terminal device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor, when executing the computer program, implements the steps of the method for predicting the karst water level of a mine area according to any one of the first aspect.
In a fourth aspect, the present application provides a computer-readable storage medium, which stores a computer program, and the computer program, when executed by a processor, implements the steps of the method for predicting the karst water level of a mine area as described in any one of the above first aspects.
In a fifth aspect, the present application provides a computer program product, which when run on a server, causes the server to execute the method for predicting the karst water level of a mine area according to any one of the first aspect.
Compared with the prior art, the embodiment of the application has the advantages that:
according to the karst water level prediction method and the terminal equipment for the mining area, the karst water level in each layer of the mining area is predicted through the karst water level prediction model of the mining area, the initial water level value of each layer of the mining area, the boundary information of each layer and the influence value of each layer, the karst water level information under the current condition can be accurately analyzed, guidance is provided for mining work, disasters are reduced, and mining safety is improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
Fig. 1 is a schematic flow chart of an implementation of a method for predicting a karst water level of a mining area according to an embodiment of the present application;
fig. 2 is a schematic flow chart of an implementation of another method for predicting a karst water level in a mine area according to an embodiment of the present application;
fig. 3 is a schematic flow chart of an implementation of another method for predicting a karst water level in a mine area according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of a terminal device according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of another terminal device according to an embodiment of the present application.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the present application. It will be apparent, however, to one skilled in the art that the present application may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.
It will be understood that the terms "comprises" and/or "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It should also be understood that the term "and/or" as used in this specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.
As used in this specification and the appended claims, the term "if" may be interpreted contextually as "when", "upon" or "in response to" determining "or" in response to detecting ". Similarly, the phrase "if it is determined" or "if a [ described condition or event ] is detected" may be interpreted contextually to mean "upon determining" or "in response to determining" or "upon detecting [ described condition or event ]" or "in response to detecting [ described condition or event ]".
Furthermore, in the description of the present application and the appended claims, the terms "first," "second," "third," and the like are used for distinguishing between descriptions and not necessarily for describing or implying relative importance.
Reference throughout this specification to "one embodiment" or "some embodiments," or the like, means that a particular feature, structure, or characteristic described in connection with the embodiment is included in one or more embodiments of the present application. Thus, appearances of the phrases "in one embodiment," "in some embodiments," "in other embodiments," or the like, in various places throughout this specification are not necessarily all referring to the same embodiment, but rather "one or more but not all embodiments" unless specifically stated otherwise. The terms "comprising," "including," "having," and variations thereof mean "including, but not limited to," unless expressly specified otherwise.
The analysis of the water level of the karst in the mining area has great significance for guaranteeing safe and efficient mining of mines and reducing and preventing various geological disasters.
The voids formed by the corrosion of the soluble carbonate rock can be from fine dissolving holes to huge dissolving cavities, and are connected with each other to form channels of a single karst area or a karst body similar to a grid.
The formation of karst area channels mainly comes from the dissolution of carbonate rocks, and under the action of polar molecular charges and potential mechanical conditions of water, ions in carbonate mineral lattices are separated from the original positions and transferred to the water, so that cavities are formed. The runoff of the karst pipeline is smooth, the flow rate and the flow are large, once the karst pipeline is exposed, water and mud outburst of a mine pit can be caused, and great potential safety hazards are brought to mining of mines. Therefore, the water level of the karst is predicted in advance before mining, and for the karst exceeding the safe water level, a necessary water prevention and control strategy is adopted during mining, so that the safe development of mining work is ensured.
The embodiment of the application provides a method for predicting the karst water level of a mining area, the karst water level in each layer of the mining area is predicted through a model for predicting the karst water level of the mining area, the initial water level value of each layer of the mining area, the boundary information of each layer and the influence value of each layer, the karst water level information under the current condition can be accurately analyzed, guidance is provided for mining work, disasters are reduced, and mining safety is improved.
The method for predicting the karst water level of the mining area provided by the embodiment of the application is described in the following with reference to the accompanying drawings:
referring to fig. 1, fig. 1 is a flowchart illustrating an implementation of a method for predicting a karst water level of a mine area according to an embodiment of the present disclosure. As shown in fig. 1, the method for predicting the karst water level of the mining area may include S101 to S104, which are detailed as follows:
s101: acquiring water level monitoring data, and generating initial water level values of all layers according to the water level monitoring data.
In this embodiment, the water level monitoring data is water level monitoring data obtained historically. For example, water level monitoring data acquired by a plurality of water level monitoring points previously set in the mine area can be used as an initial water level value of a mine area karst water level prediction model, for example, a karst water level value monitored in 12, 31 and 2017 is acquired as the water level monitoring data.
In specific application, the karst water level value monitored each time can be uploaded to a server, and the terminal equipment sends a data acquisition request to the server to acquire the water level monitoring data. For example, the terminal device may send a data acquisition request for acquiring the karst water level value monitored in 12/31/2017 to a server for storing historical water level monitoring data, and after receiving the data acquisition request, the server acquires the corresponding karst water level value and sends the corresponding karst water level value to the terminal device, so that the terminal device acquires the water level monitoring data. Of course, the terminal device may also send a data acquisition request that does not include the specified date to the server, and the server randomly extracts water level monitoring data of a certain day and sends the water level monitoring data to the terminal device, so that the terminal device acquires the water level monitoring data.
In an embodiment of the present application, the step S101 includes:
dividing the mining area according to the hydrogeological structure characteristics of the mining area to obtain each layer of the mining area;
and determining initial water level values of the respective layers based on the water level monitoring data.
In the embodiment of the application, the mining area can be divided according to the hydrogeological structure characteristics of the mining area. The whole mining area is divided into rectangular unit grids of 300 multiplied by 200 on the plane, and the rectangular unit grids are vertically and independently divided into 6 independent layers from top to bottom, namely a fourth loose rock pore aquifer, a first weakly permeable layer of a kettle sky group carbonate rock, a first water-containing channel of a kettle sky group carbonate karst cave, a second weakly permeable layer of a kettle sky group carbonate rock, a second water-containing channel of a kettle sky group carbonate karst cave and a third weakly permeable layer of the kettle sky group carbonate rock with the elevation of more than-50 m.
After the respective layers are divided, the initial water level values of the respective layers are determined based on the water level monitoring data.
Specifically, the initial water level value of each layer can be determined by linear interpolation using surfer software.
S102: boundary factors are obtained to determine boundary information of each layer.
In the embodiment of the application, according to the actual geology and hydrogeology characteristics of the mining area, the bottom boundary of the calculation domain is a waterproof boundary, and the periphery of the calculation domain is generalized to be a universal water head boundary.
Specifically, the east, the south and the west in the horizontal direction are bounded by the peripheral prospecting ticket range, the north is bounded by the peripheral prospecting ticket range to the ground coordinate of northern latitude 2779044.33, and the peripheries are generalized into universal water head boundaries. On one hand, the top of the calculation area receives the replenishment of the atmospheric rainfall and is a replenishment boundary; on the other hand, the underground water is evaporated through the water-proof device, and the bottom of the water-proof device is a drainage boundary.
S103: and acquiring the influence value of the interference factors on each layer.
In this application embodiment, because natural precipitation, exploitation well, dredging well etc. in the mining area all can influence the water level of karst, consequently regard natural precipitation, exploitation well inflow, dredging well drainage as the interference factor, through quantizing these interference factors, just can determine the influence numerical value of these interference factors to the karst water level of every layering. It should be noted that quantifying the natural precipitation, the water inflow of the production well and the drainage of the drainage well can be realized based on the existing quantification method, which is not repeated herein.
S104: and determining the karst water level of each layer based on the mine area karst water level prediction model, the initial water level value of each layer, the boundary information of each layer and the influence value of each layer.
In specific application, the initial water level value of each layer, the boundary information of each layer and the influence value of each layer are input into the karst water level prediction model of the mining area, and then the karst water level corresponding to each layer can be obtained. The mining area karst water level prediction model is a trained mining area karst water level prediction model.
In an embodiment of the present application, referring to fig. 2, the method for predicting the karst water level of the mining area further includes:
s105: constructing a mine karst water level prediction model;
s106: and training the mining area karst water level prediction model based on the historical karst water level data to obtain the trained mining area karst water level prediction model.
In specific application, the mining area karst water level prediction model is a three-dimensional unsteady flow model.
In an embodiment of the present application, the model for predicting the karst water level in the mining area is as follows:
wherein S issFor water storage rate, KxxPermeability coefficient in the main direction of anisotropy, K, of the X axisyyPermeability coefficient in different main direction, K, being Y-axiszzIs the permeability coefficient of the different main direction of the Z axis, H is the waterhead value of the point (x, y, Z) at the time t, W is the influence value of the interference factor, t is the time, H is the water level value, omega is the calculation domain, H is the water level value0(x，y，z，t0) Is the initial water level value of the point (x, y, z), q (x, y, z, t) is the supply amount of the unit area on the general water head boundary, cos (n, x), cos (n, y) and cos (n, z) are respectively the cosine of the included angle between the normal direction outside the water-resisting boundary and the coordinate axis direction, mu isSaturation difference or degree of water supply, qwIs the sum of the atmospheric rainfall infiltration supply and the groundwater evaporation amount on the unit area of the free surface, gamma2Is the universal head boundary, Γ3Is a water-blocking boundary.
In practical application, the water storage rate SsPermeability coefficient in different main directions of water supply degree mu and X axisxxY-axis permeability coefficient in the main direction of anisotropy KyyZ-axis permeability coefficient in the main direction of anisotropy KzzMay be determined based on empirical values, which are not intended to be limiting of the present application.
In the embodiment of the application, the created model can be trained and checked by using historical data to obtain the mine karst water level prediction model with the prediction accuracy higher than the accuracy threshold, the trained mine karst water level prediction model is configured in the terminal equipment in advance, and the mine karst water level prediction model can be called when the terminal equipment needs to predict the mine karst water level. Of course, the trained mine karst water level prediction model can also be stored in the server, and when the karst water level of the mine needs to be predicted, the terminal device sends a calling application to the server so as to call the mine karst water level prediction model to predict the water level.
Referring to fig. 3, another method for predicting the karst water level in a mine area provided in the embodiment of the present application, after S104, may further include the following steps:
s107: and generating a corresponding mining strategy according to the predicted karst water level condition.
In the embodiment of the application, different mining strategies can be set corresponding to the water level condition of the karst, for example, when the water levels of the karst in all the layers are lower than the safe water level, the corresponding mining strategies are set without water prevention and control measures; when a karst passage exceeding the safe water level exists in a certain layer, the corresponding mining strategy is to drain the karst passage exceeding the safe water level in the layer; and when the karst passages exceeding the safe water level exist in the plurality of layers, draining the whole mining area, and the like.
It should be noted that the mining strategy corresponding to the karst water level situation may be various, and the above is only an example and not a limitation.
In practical application, after the mining strategy is determined, the mining strategy needs to be sent to a client (a terminal device on the side of a mining person) so that the mining person can prepare for mining according to the mining strategy.
Therefore, the karst water level prediction method for the mining area provided by the embodiment of the application predicts the karst water level in each layer of the mining area through the karst water level prediction model of the mining area, the initial water level value of each layer of the mining area, the boundary information of each layer and the influence value of each layer, can accurately analyze the karst water level information under the current condition, can also generate a corresponding mining strategy, provides guidance for mining work, reduces the occurrence of disasters and improves the mining safety.
Fig. 4 is a schematic structural diagram of a terminal device according to an embodiment of the present application. As shown in fig. 4, the terminal device includes:
the first obtaining unit 401 is configured to obtain water level monitoring data, and generate initial water level values of each layer according to the water level monitoring data.
The second obtaining unit 402 is configured to obtain boundary information of each layer determined by the boundary factor.
The third obtaining unit 403 is configured to obtain an influence value of the interference factor on each tier.
The prediction unit 404 is configured to determine the karst water level of each of the layers based on the mining area karst water level prediction model, the initial water level value of each of the layers, the boundary information of each of the layers, and the influence value of each of the layers.
In an embodiment of the application, the terminal device further includes a construction unit and a training unit.
The construction unit is used for constructing a karst water level prediction model of the mining area;
the training unit is used for training the mine karst water level prediction model based on the historical karst water level data to obtain the trained mine karst water level prediction model.
In an embodiment of the application, the first obtaining unit 401 is specifically configured to subdivide a mine area according to hydrogeological structure characteristics of the mine area to obtain each layer of the mine area; and determining initial water level values of the respective layers based on the water level monitoring data.
In an embodiment of the present application, the third obtaining unit 403 is specifically configured to obtain an interference factor; and quantifying the interference factors to obtain the influence value of each layer.
In an embodiment of the application, the terminal device further includes a mining strategy generation unit and a transmission unit.
The mining strategy generating unit is used for generating a corresponding mining strategy according to the predicted karst water level situation.
The sending unit is used for sending the mining strategy to a client.
It can be seen from the above that, the terminal device provided in the embodiment of the present application can also predict the karst water level in each layer of the mine area through the mine area karst water level prediction model, the initial water level value of each layer of the mine area, the boundary information of each layer, and the influence value of each layer, can accurately analyze the karst water level information under the current situation, and can also generate a corresponding mining strategy, provide guidance for mining work, reduce occurrence of disasters, and improve mining safety.
It should be noted that, for the information interaction, execution process, and other contents between the above-mentioned devices/units, the specific functions and technical effects thereof are based on the same concept as those of the embodiment of the method of the present application, and specific reference may be made to the part of the embodiment of the method, which is not described herein again.
Fig. 5 is a schematic structural diagram of a terminal device according to an embodiment of the present application. As shown in fig. 5, the terminal device 5 of this embodiment includes: at least one processor 50 (only one shown in fig. 5), a memory 51, and a computer program 52 stored in the memory 51 and executable on the at least one processor 50, the processor 50 implementing the steps in any one of the above-described embodiments of the method for predicting the karst water level in a mine area when executing the computer program 52.
Those skilled in the art will appreciate that fig. 5 is only an example of the terminal device 5, and does not constitute a limitation to the terminal device 5, and may include more or less components than those shown, or combine some components, or different components, such as an input-output device, a network access device, and the like.
The Processor 50 may be a Central Processing Unit (CPU), and the Processor 50 may be other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware component, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 51 may in some embodiments be an internal storage unit of the terminal device 5, such as a hard disk or a memory of the terminal device 5. The memory 51 may also be an external storage device of the terminal device 5 in other embodiments, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like, which are provided on the terminal device 5. Further, the memory 51 may also include both an internal storage unit and an external storage device of the terminal device 5. The memory 51 is used for storing an operating system, an application program, a BootLoader (BootLoader), data, and other programs, such as program codes of the computer program. The memory 51 may also be used to temporarily store data that has been output or is to be output.
An embodiment of the present application further provides a computer-readable storage medium, where a computer program is stored, and when being executed by a processor, the computer program may implement the steps in any one of the above-mentioned method embodiments for predicting a water level of a karst in a mine area.
The embodiment of the application provides a computer program product, and when the computer program product runs on a terminal device, the terminal device is enabled to implement the steps in any one of the mining area karst water level prediction method embodiments when executed.
It should be noted that, for the information interaction, execution process, and other contents between the above-mentioned devices/units, the specific functions and technical effects thereof are based on the same concept as those of the embodiment of the method of the present application, and specific reference may be made to the part of the embodiment of the method, which is not described herein again.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-mentioned functions. Each functional unit and module in the embodiments may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one unit, and the integrated unit may be implemented in a form of hardware, or in a form of software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working processes of the units and modules in the system may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In the embodiments provided in the present application, it should be understood that the disclosed method for predicting the karst water level of a mining area may be implemented in other ways. For example, the above-described apparatus/server embodiments are merely illustrative, and for example, the division of the modules or units is only one logical division, and there may be other divisions when actually implemented, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present application and are intended to be included within the scope of the present application.
Claims (10)
1. A method for predicting the karst water level of a mining area is characterized by comprising the following steps:
acquiring water level monitoring data, and generating initial water level values of all layers according to the water level monitoring data;
boundary factors are obtained to determine boundary information of each layer;
obtaining the influence value of the interference factor on each layer;
and determining the karst water level of each layer based on the mine area karst water level prediction model, the initial water level value of each layer, the boundary information of each layer and the influence value of each layer.
2. The method of predicting the water level of a karst of a mine area of claim 1, further comprising:
constructing a mine karst water level prediction model;
and training the mining area karst water level prediction model based on the historical karst water level data to obtain the trained mining area karst water level prediction model.
3. The method of predicting the karst level in a mine according to claim 2, wherein the model for predicting the karst level in the mine is:
wherein S issFor water storage rate, KxxPermeability coefficient in the main direction of anisotropy, K, of the X axisyyPermeability coefficient in different main direction, K, being Y-axiszzIs the permeability coefficient of the different main direction of the Z axis, H is the waterhead value of the point (x, y, Z) at the time t, W is the influence value of the interference factor, t is the time, H is the water level value, omega is the calculation domain, H is the water level value0(x,y,z,t0) Is the initial water level value of the point (x, y, z), q (x, y, z, t) is the supply amount of the unit area on the boundary of the universal water head, cos (n, x), cos (n, y) and cos (n, z) are respectively the cosine of the included angle between the normal direction outside the water-resisting boundary and the coordinate axis direction, mu is the saturation difference or the water supply degree, q is the saturation difference or the water supply degreewIs the sum of the atmospheric rainfall infiltration supply and the groundwater evaporation amount on the unit area of the free surface, gamma2Is the universal head boundary, Γ3Is a water-blocking boundary.
4. The method of predicting karst water level in a mine area according to claim 1, wherein the obtaining water level monitoring data and generating initial water level values for respective tiers from the water level monitoring data comprises:
dividing the mining area according to the hydrogeological structure characteristics of the mining area to obtain each layer of the mining area;
and determining initial water level values of the respective layers based on the water level monitoring data.
5. The method of predicting the karst water level in a mine area of claim 1, wherein obtaining the value of the impact of the disturbance factor on each of the strata comprises:
obtaining interference factors;
and quantifying the interference factors to obtain the influence value of each layer.
6. The method of predicting the karst level in a mine area of any one of claims 1 to 5, further comprising;
and generating a corresponding mining strategy according to the predicted karst water level condition.
7. The method of predicting the karst water level in a mine area of claim 6, further comprising:
and sending the mining strategy to a client.
8. A terminal device, comprising:
the first acquisition unit is used for acquiring water level monitoring data and generating initial water level values of all layers according to the water level monitoring data;
the second acquisition unit is used for acquiring boundary factors to determine the boundary information of each layer;
a third obtaining unit, configured to obtain an influence value of the interference factor on each tier;
and the prediction unit is used for determining the karst water level of each layer based on the mining area karst water level prediction model, the initial water level value of each layer, the boundary information of each layer and the influence value of each layer.
9. A terminal device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor, when executing the computer program, carries out the steps of the method of karst water level prediction of a mine area according to any one of claims 1 to 7.
10. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of the method of karst water level prediction of a mine area according to any one of claims 1 to 7.
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