Method and device for predicting water quality of water-bearing layer filled with water in mine
By constructing a water-rock reaction kinetic model that considers the interaction between water and rock, the problem of inaccurate prediction in existing technologies has been solved, enabling accurate prediction of mine water quality, especially the prediction of water quality changes, thus addressing the issue of low accuracy in mine water quality prediction in existing technologies.
Patent Information
- Application Number
- CN202311267587.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2023-09-27
- Publication Date
- 2025-12-05
- Estimated Expiration
- 2043-09-27
AI Technical Summary
Existing methods for predicting mine water quality only consider the impact of water mixing from different aquifers on mine water quality. This results in low accuracy in predicting mine water quality after equilibrium and makes it impossible to determine the water quality changes of aquifers before equilibrium.
By acquiring the characteristic parameters of water and rock in the aquifer of a mine, a water-rock reaction kinetic model is constructed. The influence of water-rock reaction on water quality is considered. The water-rock reaction kinetic model is used to predict the water quality changes of the aquifer, including constructing reaction kinetic equations such as the pseudo-first-order reaction kinetic equation, the Elovicoh equation, and the parabolic diffusion equation, and determining the characteristic parameters of water quality after water-rock reaction.
It improves the accuracy of water quality prediction for aquifers in mines, can determine the changes in water quality before it reaches equilibrium, and generates a spatial distribution map of water quality, which visually displays the changes in water quality.
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Figure CN117316325B_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the technical field of water quality detection, in particular to a mine water-filled aquifer water quality prediction method, a prediction device, a computer readable storage medium, a processor and an electronic device. BACKGROUND
[0002] Coal is the main energy source in China, and coal mining activities have changed the hydrochemical and hydrodynamic conditions of mine water-filled aquifers. With the increase of mining depth and intensity, human activities such as coal mining and water pumping have damaged the groundwater occurrence state of mine water-filled aquifers to varying degrees, leading to deterioration of groundwater quality. When mine water passes through different strata and coal mine groundwater reservoir collapse rock mass, water-rock reaction occurs, resulting in changes in mine water quality.
[0003] The existing mine water quality prediction method only considers the influence of the mixed water of different water-filled aquifers on the mine water quality, and does not consider the influence of the reaction of the water in the water-filled aquifer with the rock on the mine water quality, resulting in low accuracy of the predicted mine water quality after balance, and only the water quality of the water-filled aquifer after balance can be determined, and the change of the water quality of the water-filled aquifer before balance cannot be determined. SUMMARY
[0004] The main purpose of the present application is to provide a mine water-filled aquifer water quality prediction method, a mine water-filled aquifer water quality prediction device, a computer readable storage medium, a processor and an electronic device, to at least solve the problem that the existing mine water quality prediction method only considers the influence of the mixed water of different water-filled aquifers on the mine water quality, resulting in low accuracy of the predicted mine water quality after balance.
[0005] In order to achieve the above object, according to one aspect of the present application, a method for predicting water quality of water-filled aquifer in a mine is provided, the method comprising: obtaining first data, second data and a first sequence during coal mining in a first mine, the first data comprising first characteristic parameters of water of a plurality of first water-filled aquifers, the first characteristic parameters comprising concentrations of a plurality of mineral ions, a TDS value of water, a PH value of water, a conductivity of water, and an ORP value of water, the second data comprising second characteristic parameters of rocks of each of the first water-filled aquifers, the second characteristic parameters comprising contents of a plurality of minerals, and the first sequence being a distribution sequence of each of the first water-filled aquifers in a vertical direction, the first water-filled aquifers being water-filled aquifers of the first mine; inputting the first data, the second data and the first sequence into a water-rock reaction kinetics model to obtain at least third data, the third data being the first characteristic parameters of water of all the first water-filled aquifers in a case that water qualities of all the first water-filled aquifers reach equilibrium, and the water-rock reaction kinetics model being used to determine the first characteristic parameters of water of all the first water-filled aquifers after water of different water-filled aquifers reacts, and / or after water of the water-filled aquifers reacts with rocks of the water-filled aquifers according to the distribution sequence of the water-filled aquifers.
[0006] Optionally, before the first data, the second data and the first order are obtained, the method further comprises: constructing the water-rock reaction kinetics model; and constructing the water-rock reaction kinetics model comprises: obtaining fourth data, fifth data and a second order in a case that water quality of at least one second water-filled aquifer does not reach equilibrium, the second water-filled aquifer being a water-filled aquifer of a second mine, the fourth data comprising the first characteristic parameter of water of all the second water-filled aquifers, the fifth data comprising the second characteristic parameter of rock of all the second water-filled aquifers, and the second order being a distribution order of each of the second water-filled aquifers in a vertical direction; obtaining sixth data, the sixth data comprising the first characteristic parameter of a plurality of first mixed water at a plurality of continuous time nodes, one of the first mixed water being obtained by reacting water of any two of the second water-filled aquifers; obtaining seventh data, the seventh data comprising the first characteristic parameter of a plurality of second mixed water at a plurality of continuous time nodes, one of the second mixed water being obtained by reacting water of one of the second water-filled aquifers with rock of one type; obtaining eighth data, the eighth data comprising the first characteristic parameter of a plurality of third mixed water at a plurality of continuous time nodes, one of the third mixed water being obtained by sequentially reacting water of one of the second water-filled aquifers with rock of a plurality of types; and constructing the water-rock reaction kinetics model based on the fourth data, the fifth data, the sixth data, the seventh data, the eighth data and the second order by using a reaction kinetics equation, the reaction kinetics equation being any one of the following: a quasi-first-order reaction kinetics equation, an Elovicoh equation, a parabolic diffusion equation and a quasi-second-order kinetics equation.
[0007] Optionally, the first data, the second data and the first order are obtained by: obtaining a saturation index of each mineral in water of the first water-filled aquifer; determining that water quality of the first water-filled aquifer does not reach equilibrium in a case that the saturation index of at least one mineral in water of the first water-filled aquifer does not satisfy a preset condition, and determining that water quality of the first water-filled aquifer reaches equilibrium in a case that the saturation index of all minerals in water of the first water-filled aquifer satisfies the preset condition, the preset condition being that the saturation index of the mineral is greater than a preset saturation index; and obtaining the first data, the second data and the first order in a case that water quality of at least one of the first water-filled aquifers does not reach equilibrium.
[0008] Optionally, the first data, the second data and the first order are input into the water-rock reaction kinetics model to obtain at least third data, comprising: inputting the first data, the second data and the first order into the water-rock reaction kinetics model to further obtain ninth data, the ninth data comprising a variation range of the first characteristic parameter of water of all the first water-filled aquifers.
[0009] Optionally, after inputting the first data, the second data and the first sequence into a water-rock reaction kinetics model to obtain at least third data, the method further comprises: determining a transfer amount of each mineral of the rock of each of the first water-filled aquifer, the transfer amount being an amount of dissolution of the mineral of the rock of the first water-filled aquifer into water; and sending the third data to a client in a case where the transfer amount of each mineral of the rock of each of the first water-filled aquifer is less than or equal to a corresponding amount.
[0010] Optionally, after sending the third data to the client, the method comprises: generating a plurality of mine water quality maps based on the third data, one of the mine water quality maps corresponding to one of the first characteristic parameters of the water of the first water-filled aquifer, the mine water quality map being a spatial distribution map of the first characteristic parameter of the water of the first water-filled aquifer; and sending the mine water quality map to the client.
[0011] According to another aspect of the present application, there is provided a device for predicting water quality of a water-filled aquifer of a mine, the device comprising: an acquisition unit configured to acquire first data, second data and a first sequence during coal mining work in a first mine, the first data comprising first characteristic parameters of water of a plurality of first water-filled aquifers, the first characteristic parameters comprising concentrations of a plurality of mineral ions, a TDS value of the water, a PH value of the water, a conductivity of the water and an ORP value of the water, the second data comprising second characteristic parameters of rock of each of the first water-filled aquifers, the second characteristic parameters comprising amounts of a plurality of minerals, and the first sequence being a distribution sequence of each of the first water-filled aquifers in a vertical direction, the first water-filled aquifer being a water-filled aquifer of the first mine; and a processing unit configured to input the first data, the second data and the first sequence into a water-rock reaction kinetics model to obtain at least third data, the third data being the first characteristic parameters of the water of all of the first water-filled aquifers in a case where water qualities of all of the first water-filled aquifers reach equilibrium, the water-rock reaction kinetics model being configured to determine the first characteristic parameters of the water of all of the first water-filled aquifers after reaction of water of different ones of the first water-filled aquifers and / or after reaction of the water of the first water-filled aquifers with the rock of the first water-filled aquifers according to the distribution sequence of the first water-filled aquifers.
[0012] According to still another aspect of the present application, there is provided a computer-readable storage medium comprising a stored program, wherein the program, when executed, controls a device in which the computer-readable storage medium is located to perform any of the methods for predicting water quality of a water-filled aquifer of a mine.
[0013] According to another aspect of the present application, a processor is provided for running a program, wherein the program performs any one of the prediction methods of water quality of water-filled aquifer of a mine.
[0014] According to another aspect of the present application, an electronic device is provided, comprising one or more processors, a memory, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, and the one or more programs comprise a program for performing any one of the prediction methods of water quality of water-filled aquifer of a mine.
[0015] By applying the technical solution of the present application, in the process of coal mining in the first mine, the first characteristic parameter of the water of the water-filled aquifer of the first mine, the second characteristic parameter of the rock of the water-filled aquifer of the first mine, and the distribution sequence of the water-filled aquifer are input into the water-rock reaction kinetics model to obtain the first characteristic parameter of the water of the water-filled aquifer of the first mine when the water quality of all the water-filled aquifers of the first mine reaches equilibrium, and the change of the water quality of the water-filled aquifer of the mine is determined. Since the water-rock reaction kinetics model simultaneously considers the reaction of the water of different water-filled aquifers and the influence of the reaction of the water of the water-filled aquifer and the rock on the water quality of the water-filled aquifer, the water quality of the water-filled aquifer predicted by the water-rock reaction kinetics model has relatively high accuracy. The problem that the existing prediction method of mine water quality only considers the influence of the mixed water of different water-filled aquifers of the mine on the mine water quality, resulting in low accuracy of the mine water quality after equilibrium. BRIEF DESCRIPTION OF DRAWINGS
[0016] Figure 1 A hardware structure block diagram of a mobile terminal for performing a prediction method of water quality of water-filled aquifer of a mine according to an embodiment of the present application is shown;
[0017] Figure 2 A flowchart of a prediction method of water quality of water-filled aquifer of a mine according to an embodiment of the present application is shown;
[0018] Figure 3 A schematic diagram of a first characteristic parameter of a first mixed water according to an embodiment of the present application is shown;
[0019] Figure 4 A schematic diagram of another first characteristic parameter of a first mixed water according to an embodiment of the present application is shown;
[0020] Figure 5 A schematic diagram of a first characteristic parameter of a second mixed water according to an embodiment of the present application is shown;
[0021] Figure 6Fig. 2 shows a schematic diagram of another first feature parameter of mixed water according to an embodiment of the present application;
[0022] Figure 7 Fig. 3 shows a schematic diagram of a mine water quality map according to an embodiment of the present application;
[0023] Figure 8 Fig. 4 shows a schematic diagram of another mine water quality map according to an embodiment of the present application;
[0024] Figure 9 Fig. 5 shows a structure block diagram of a mine water-filled aquifer water quality prediction device according to an embodiment of the present application.
[0025] In the above drawings, reference numerals:
[0026] 102, processor; 104, memory; 106, transmission device; 108, input and output device. DETAILED DESCRIPTION
[0027] It should be noted that the embodiments and features of the present application can be combined with each other in the case of no conflict. The technical solutions of the embodiments of the present application will be described in detail below with reference to the drawings and in combination with the embodiments.
[0028] In order to enable those skilled in the art to better understand the present application, the technical solutions of the embodiments of the present application will be described in detail below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, not all. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor should be within the scope of protection of the present application.
[0029] It should be noted that the terms "first", "second" and the like in the specification and claims of the present application and the above drawings are used to distinguish similar objects, and do not necessarily indicate a specific order or sequence. It should be understood that the data thus used can be interchanged under appropriate circumstances, so that the embodiments of the present application described herein can be implemented. In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusion, for example, a process, method, system, product or device including a series of steps or units need not be limited to those clearly listed, but can include other steps or units not clearly listed or inherent to these processes, methods, products or devices.
[0030] For the convenience of description, the following describes some nouns or terms related to the embodiments of the present application:
[0031] TDS value (Total Dissolved Solids): refers to the total dissolved solid content in water, measured in milligrams per liter (mg / L) or parts per million (ppm), the TDS value is determined by measuring the total amount of dissolved inorganic salts, organic matter and other dissolved substances in water, which can be minerals, salts, metal ions, organic matter, etc.;
[0032] PH value (Potential of Hydrogen): used to indicate the strength of the solution acidity and alkalinity, the PH value range is from 0 to 14, in which 7 indicates a neutral solution, less than 7 indicates an acidic solution, and greater than 7 indicates an alkaline solution, the smaller the PH value, the more acidic the solution, the greater the PH value, the more alkaline the solution;
[0033] ORP value (Oxidation-Reduction Potential): refers to the oxidation-reduction potential, which is a physical index for measuring the oxidation-reduction capacity of the solution, the higher the ORP value, the stronger the oxidation capacity of the solution, and vice versa, the stronger the reduction capacity, ORP value is commonly used in water treatment, environmental monitoring, food processing and other fields, for evaluating the antioxidant performance or bactericidal capacity of the solution.
[0034] As introduced in the background art, the existing mine water quality prediction method only considers the influence of the mixed water of different water-filled aquifers in the mine on the mine water quality, resulting in low accuracy of the predicted mine water quality after balancing. To solve the problem that the existing mine water quality prediction method only considers the influence of the mixed water of different water-filled aquifers in the mine on the mine water quality, resulting in low accuracy of the predicted mine water quality after balancing, the embodiment of the present application provides a mine water-filled aquifer water quality prediction method, a prediction device, a computer readable storage medium, a processor and an electronic device.
[0035] The technical solutions in the embodiments of the present application will be described clearly and completely in combination with the drawings in the embodiments of the present application.
[0036] The method embodiments provided in the embodiments of the present application can be executed in a mobile terminal, a computer terminal or a similar computing device. Taking the case of running on a mobile terminal, Figure 1 is a hardware structure block diagram of a mobile terminal of a mine water-filled aquifer water quality prediction method according to an embodiment of the present application. As Figure 1 shown, the mobile terminal can include one or more Figure 1The mobile terminal can further include a transmission device 106 for communication function and an input / output device 108. Those skilled in the art can understand that, Figure 1 The structure shown is only schematic and does not limit the structure of the mobile terminal. For example, the mobile terminal can include more or less components than those shown, or can have different configurations of the components shown. Figure 1 The mobile terminal can include more or less components than those shown, or can have different configurations of the components shown. Figure 1 The mobile terminal can include more or less components than those shown, or can have different configurations of the components shown.
[0037] The memory 104 can be used to store computer programs, such as software programs of application software and modules, such as the computer program corresponding to the device information display method of the embodiments of the present application. The processor 102 can execute various function applications and data processing by running the computer programs stored in the memory 104, i.e. implement the method described above. The memory 104 can include a high-speed random access memory, and can further include a non-volatile memory, such as one or more magnetic storage devices, flash memories, or other non-volatile solid-state memories. In some examples, the memory 104 can further include a memory remotely arranged with respect to the processor 102, which can be connected to the mobile terminal through a network. Examples of the network include but are not limited to the Internet, an intranet, a local area network, a mobile communication network, and a combination thereof. The transmission device 106 is used to receive or send data via a network. The specific examples of the network can include a wireless network provided by a communication provider of the mobile terminal. In one example, the transmission device 106 includes a network adapter (NIC), which can be connected to other network devices through a base station so as to communicate with the Internet. In one example, the transmission device 106 can be a radio frequency (RF) module, which is used to communicate with the Internet in a wireless manner.
[0038] In the present embodiment, a method for predicting water quality of a mine water-filled aquifer running on a mobile terminal, a computer terminal or a similar computing device is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.
[0039] Figure 2 is a flowchart of a method for predicting water quality of a mine water-filled aquifer according to an embodiment of the present application. As Figure 2 shown, the method includes the following steps:
[0040] Step S201, in the process of coal mining in the first mine, obtaining first data, second data and first order;
[0041] The first data includes the first characteristic parameters of the water of the first water-filled aquifer, and the first characteristic parameters include the concentration of various mineral ions, the TDS value of the water, the PH value of the water, the conductivity of the water, and the ORP value of the water. The second data includes the second characteristic parameters of the rock of each first water-filled aquifer, and the second characteristic parameters include the content of various minerals. The first order is the distribution order of each first water-filled aquifer in the vertical direction. The first water-filled aquifer is the water-filled aquifer of the first mine.
[0042] Step S202, inputting the first data, the second data and the first order into a water-rock reaction kinetics model to obtain at least third data;
[0043] The third data is the first characteristic parameters of the water of all the first water-filled aquifers when the water quality of all the first water-filled aquifers reaches equilibrium. The water-rock reaction kinetics model is used to determine the first characteristic parameters of the water of all the water-filled aquifers after the water of different water-filled aquifers reacts and / or the water of the water-filled aquifer reacts with the rock of the water-filled aquifer according to the distribution order of the water-filled aquifer.
[0044] Through the above embodiment, in the process of coal mining in the first mine, the first characteristic parameters of the water of the water-filled aquifer of the first mine, the second characteristic parameters of the rock of the water-filled aquifer of the first mine, and the distribution order of the water-filled aquifer are input into the water-rock reaction kinetics model to obtain the first characteristic parameters of the water of the water-filled aquifer of the first mine when the water quality of all the water-filled aquifers of the first mine reaches equilibrium. The change of the water quality of the water-filled aquifer of the mine is determined. Since the water-rock reaction kinetics model considers the influence of the reaction of the water of different water-filled aquifers and the reaction of the water of the water-filled aquifer and the rock on the water quality of the water-filled aquifer, the water-rock reaction kinetics model has high accuracy in predicting the water quality of the water-filled aquifer. The existing mine water quality prediction method only considers the influence of the mixture of the water of different water-filled aquifers of the mine on the water quality of the mine, which leads to low accuracy of the predicted water quality of the mine after the water quality of the mine reaches equilibrium.
[0045] In an optional embodiment, the step S201 can be implemented as:
[0046] Obtaining the saturation index of each mineral in the water of the first water-filled aquifer;
[0047] Specifically, the minerals include plagioclase (Na[AlSi3O8]-Ca[Al2Si2O8]), calcite (CaCO3), dolomite (CaMg(CO3)2), and so on. 3)2 The saturation index of the mineral is obtained according to the formula , wherein IAP is the ion activity product of the ion related to the mineral in the first water-saturated aquifer, K is the dissolution reaction equilibrium constant of the mineral, for example, the mineral in the first water-saturated aquifer is calcite (CaCO3), and the ion related to the mineral in the first water-saturated aquifer is Ca + and CO3 2- .
[0048] In a case where the saturation index of at least one of the minerals in the water of the first water-saturated aquifer does not satisfy the preset condition, it is determined that the water quality of the first water-saturated aquifer does not reach equilibrium, and in a case where the saturation index of all the minerals in the water of the first water-saturated aquifer satisfies the preset condition, it is determined that the water quality of the first water-saturated aquifer reaches equilibrium, the preset condition being that the saturation index of the mineral is greater than a preset saturation index.
[0049] In a case where the water quality of at least one of the first water-saturated aquifers does not reach equilibrium, the first data, the second data, and the first sequence are obtained.
[0050] Specifically, the preset saturation index is 0, if the saturation index of all the minerals in the first water-saturated aquifer is greater than the preset saturation index, it is determined that the minerals will not be dissolved again, the water quality of the first water-saturated aquifer reaches equilibrium, the saturation index of at least one of the minerals in the first water-saturated aquifer is less than or equal to the preset saturation index, it is determined that the minerals will be dissolved again, the water quality of the first water-saturated aquifer does not reach equilibrium, in a case where the water quality of at least one of the first water-saturated aquifers does not reach equilibrium, it is determined that the water quality of the first water-saturated aquifer of the first mine will change, it is necessary to re-predict the water quality of all the first water-saturated aquifers after the water quality of all the first water-saturated aquifers reaches equilibrium, in a case where the water quality of all the first water-saturated aquifers reaches equilibrium, it is determined that the water quality of the first water-saturated aquifer of the first mine will not change, and it is not necessary to re-predict the water quality of all the first water-saturated aquifers.
[0051] In an optional embodiment, before the step S201, the method further includes:
[0052] Step S301, constructing the water-rock reaction kinetics model.
[0053] In an optional embodiment, the step S301 can be implemented as:
[0054] In the case that the water quality of at least one second water-filled aquifer does not reach equilibrium, fourth data, fifth data and a second sequence are obtained, the second water-filled aquifer is a water-filled aquifer of the second mine, the fourth data includes the first characteristic parameters of the water of all the second water-filled aquifers, the fifth data includes the second characteristic parameters of the rock of all the second water-filled aquifers, and the second sequence is a distribution sequence of the second water-filled aquifers in the vertical direction;
[0055] Sixth data is obtained, and the sixth data includes the first characteristic parameters of a plurality of first mixed waters at a plurality of continuous time nodes, one of the first mixed waters is obtained by reacting water of any two of the second water-filled aquifers;
[0056] Specifically, in the vertical direction (from high to low), the distribution sequence of the water-filled aquifers of the second mine is Zhidan group aquifer 20-7, lower Anqi group-upper Yanan group aquifer 20-10, lower Anqi group-upper Yanan group aquifer 22-13, middle Yanan group aquifer 22-10, middle Yanan group aquifer 18-13, lower Yanan group aquifer 18-7 and lower Yanan group aquifer 22-7, and the mixing ratio of water of two second water-filled aquifers can be 1:1, 1:2 and 1:3. In the case that the mixing ratio of Zhidan group aquifer 20-7 and lower Anqi group-upper Yanan group aquifer 22-13 is 1:1, the first characteristic parameters (K+, F-, NO2-, PH value, NO3-, ORP value, Ca2+, Mg2+, Cl-, Na+, SO4 2- , conductivity, TDS value) of water of Zhidan group aquifer 20 before mixing, the first characteristic parameters of water of lower Anqi group-upper Yanan group aquifer 22-13, and the first characteristic parameters of the first mixed water after mixing are shown in Table 1. Figure 3 In the case that the mixing ratio of Zhidan group aquifer 20-7 and lower Anqi group-upper Yanan group aquifer 22-13 is 1:2, the first characteristic parameters (K + , F - , Ca 2+ , NO3 - , PH value, CO3 2- , Mg 2+ , HCO3 2- , ORP value, Cl - , Na + , SO4 2- , conductivity, TDS value) of water of Zhidan group aquifer 20 before mixing, the first characteristic parameters of water of lower Anqi group-upper Yanan group aquifer 22-13, and the first characteristic parameters of the first mixed water after mixing are shown in Table 2. Figure 4
[0057] Obtaining seventh data, the seventh data comprising the first characteristic parameters of a plurality of second mixed water at a plurality of continuous time nodes, one second mixed water being obtained by reacting water in a second water-filled aquifer with one type of rock;
[0058] Specifically, the first characteristic parameters (Na + , K + , Ca 2+ , Mg 2+ , PH, CI - , SO4 2- , CO3 2- , conductivity, TDS) of the second mixed water obtained by reacting the water in the middle aquifer 18-13 of the Yan'an Formation with the fine-grained sandstone of the Zhidan Group vary from day 0 to day 15 as shown in FIGS. 1 and 2. Figure 5 and 6 .
[0059] Obtaining eighth data, the eighth data comprising the first characteristic parameters of a plurality of third mixed water at a plurality of continuous time nodes, one third mixed water being obtained by sequentially reacting water in a second water-filled aquifer with a plurality of types of rock;
[0060] Based on the fourth data, the fifth data, the sixth data, the seventh data, the eighth data and the second sequence, a water-rock reaction kinetics model is constructed by using a reaction kinetics equation, which can be any one of a pseudo-first-order reaction kinetics equation, an Elovich equation, a parabolic diffusion equation and a pseudo-second-order kinetics equation.
[0061] Specifically, the pseudo-first-order reaction kinetics equation is mainly used to describe a diffusion mechanism controlled kinetics process, which can quantify the speed of reaching equilibrium and the concentration of the solution after equilibrium, and the pseudo-first-order reaction kinetics equation is as follows: M t = M0×[1-exp(-k m ×t)], the Elovich equation is an empirical equation describing a series of reaction mechanisms, such as diffusion of solutes in liquid phase or at interfaces, surface activation and deactivation, etc., and the Elovich equation is as follows: M t = M0+k m ×lnt, the parabolic diffusion equation is used to describe the adsorption and desorption kinetics of mineral ions, and the speed of substance transfer and physicochemical reaction in the release process is determined, and when the reaction is mainly controlled by a diffusion form, the parabolic equation can describe the whole process, in which the parabolic diffusion equation is most suitable for describing the diffusion process of substances in the interior of particles, and the parabolic diffusion equation is as follows: The pseudo-second order kinetics equation is used for the process reaction reaching equilibrium, and the pseudo-second order kinetics equation is as follows: wherein, M t is the cumulative release amount, M0 is the potential release amount, k m is the first-order release rate constant, and t is the reaction time.
[0062] In an optional implementation, the step S202 can be implemented as:
[0063] The first data, the second data, and the first sequence are input into the water-rock reaction kinetics model, and ninth data is obtained, and the ninth data includes a variation range of the first characteristic parameter of the water of the first water-filled aquifer.
[0064] Specifically, the existing mine water quality prediction method can only determine the water quality of the water-filled aquifer after reaching equilibrium, and cannot determine the variation of the water quality of the water-filled aquifer before reaching equilibrium. The water-rock reaction kinetics model can determine the variation of the water quality of the water-filled aquifer before reaching equilibrium, and determine the variation range of the first characteristic parameter of the water-filled aquifer.
[0065] In an optional implementation, after the step S202, the method further includes:
[0066] Step S401, determining a transfer amount of each mineral of the rock of each first water-filled aquifer, and the transfer amount is a content of the mineral of the rock of the first water-filled aquifer dissolved into water;
[0067] Step S402, in a case where the transfer amount of each mineral of the rock of each first water-filled aquifer is less than or equal to the corresponding content, sending the third data to the client.
[0068] Specifically, the content of a mineral of the rock of the water-filled aquifer dissolved into water cannot be greater than the content of the mineral in the rock. If the content of the mineral of the rock of the water-filled aquifer dissolved into water is less than or equal to the content of the corresponding mineral, it indicates that the first characteristic parameter of the water-filled aquifer predicted by the water-rock reaction kinetics model is accurate, and the first characteristic parameter of the water-filled aquifer is sent to the client.
[0069] In an optional implementation, after the step S401, the method further includes:
[0070] In a case where the transfer amount of at least one mineral of the rock of each first water-filled aquifer is greater than the corresponding content, alarm information is sent to the client, and the alarm information indicates that the third data is incorrect.
[0071] In an alternative embodiment, the step S402 described above can be implemented as:
[0072] Based on the third data described above, a plurality of mine water quality maps are generated, and each of the mine water quality maps corresponds to a first characteristic parameter of water in the first water-filled aquifer, and each of the mine water quality maps is a spatial distribution map of the first characteristic parameter of water in the first water-filled aquifer.
[0073] The mine water quality maps are sent to the client.
[0074] Specifically, the spatial distribution maps of the first characteristic parameters of water in each water-filled aquifer are generated based on the third data, so that the water quality conditions of each water-filled aquifer are intuitive and visual. As shown in FIG. 8, the mine water quality map of K+ in Zhidan group aquifer 20-7 is shown, and the darker the color of the area, the higher the concentration of K+. As shown in FIG. 9, the mine water quality map of SO42- in Zhidan group aquifer 20-7 is shown, and the darker the color of the area, the higher the concentration of SO42-. Figure 7 Figure 8 2-
[0075] It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although the logical order is shown in the flowchart, in some cases, the steps shown or described herein can be executed in an order different from that shown herein.
[0076] The embodiment of the present application also provides a mine water-filled aquifer water quality prediction device. It should be noted that the mine water-filled aquifer water quality prediction device of the embodiment of the present application can be used to execute the mine water-filled aquifer water quality prediction method provided by the embodiment of the present application. The device is used to realize the above-mentioned embodiments and preferred embodiments, and will not be described again. As used below, the term "module" can be a combination of software and / or hardware that implements a predetermined function. Although the device described in the following embodiments is preferably implemented in software, hardware, or a combination of software and hardware can also be implemented and conceived.
[0077] The mine water-filled aquifer water quality prediction device provided by the embodiment of the present application is described below.
[0078] Figure 9 is a structural block diagram of the mine water-filled aquifer water quality prediction device according to the embodiment of the present application. As shown in Figure 9 , the device comprises:
[0079] The acquisition unit 10 is configured to acquire the first data, the second data and the first sequence during the coal mining work in the first mine.
[0080] The first data includes first characteristic parameters of water in a plurality of first water-filled aquifers, and the first characteristic parameters include concentrations of a plurality of mineral ions, a TDS value of water, a PH value of water, a conductivity of water, and an ORP value of water. The second data includes second characteristic parameters of rocks of the first water-filled aquifers, and the second characteristic parameters include contents of a plurality of minerals. The first sequence is a distribution sequence of the first water-filled aquifers in a vertical direction, and the first water-filled aquifers are water-filled aquifers of the first mine.
[0081] The processing unit 20 is configured to input the first data, the second data, and the first sequence into a water-rock reaction kinetics model to obtain third data.
[0082] The third data is the first characteristic parameters of water in all the first water-filled aquifers when water quality of all the first water-filled aquifers reaches equilibrium. The water-rock reaction kinetics model is configured to determine the first characteristic parameters of water in all the first water-filled aquifers after water in different water-filled aquifers reacts and / or after water in the water-filled aquifers reacts with rocks of the water-filled aquifers according to the distribution sequence of the water-filled aquifers.
[0083] In the above embodiment, the first characteristic parameters of water in the water-filled aquifers of the first mine, the second characteristic parameters of rocks of the water-filled aquifers of the first mine, and the distribution sequence of the water-filled aquifers are input into the water-rock reaction kinetics model to obtain the first characteristic parameters of water in all the water-filled aquifers of the first mine when water quality of all the water-filled aquifers of the first mine reaches equilibrium, and the change of water quality of the water-filled aquifers of the mine is determined. Since the water-rock reaction kinetics model considers the influence of reactions of water in different water-filled aquifers and reactions of water in the water-filled aquifers and rocks on water quality of the water-filled aquifers, the water-rock reaction kinetics model has high accuracy in predicting water quality of the water-filled aquifers, and solves the problem that the existing mine water quality prediction method only considers the influence of mixed water in different water-filled aquifers of the mine on mine water quality, and thus has low accuracy in predicting water quality of the mine after equilibrium.
[0084] In an optional embodiment, the obtaining unit includes:
[0085] The first obtaining module is configured to obtain a saturation index of each mineral in water in the first water-filled aquifer.
[0086] Specifically, the minerals include plagioclase (Na[AlSi3O8]-Ca[Al2Si2O8]), calcite (CaCO3), dolomite (CaMg(CO 3)2 According to the formula to obtain a saturation index of the mineral, wherein the SI is a saturation index of the mineral in the water of the first water-saturated aquifer, and the SI is calculated according to the formula: SI = IAP / K, wherein the IAP is an ion activity product of the ion related to the mineral in the first water-saturated aquifer, the K is a dissolution reaction equilibrium constant of the mineral, and the mineral in the first water-saturated aquifer is, for example, calcite (CaCO3) and the ion related to the mineral in the first water-saturated aquifer is Ca + and CO3 2 .
[0087] The determining module is configured to determine that the water quality of the first water-saturated aquifer does not reach equilibrium when the saturation index of at least one mineral in the water of the first water-saturated aquifer does not satisfy a preset condition, and determine that the water quality of the first water-saturated aquifer reaches equilibrium when the saturation index of all the minerals in the water of the first water-saturated aquifer satisfies the preset condition, wherein the preset condition is that the saturation index of the mineral is greater than a preset saturation index.
[0088] The second obtaining module is configured to obtain the first data, the second data, and the first sequence when the water quality of at least one of the first water-saturated aquifers does not reach equilibrium.
[0089] Specifically, the preset saturation index is 0, the water quality of the first water-saturated aquifer reaches equilibrium when the saturation index of all the minerals in the first water-saturated aquifer is greater than the preset saturation index, and the water quality of the first water-saturated aquifer does not reach equilibrium when the saturation index of at least one mineral in the first water-saturated aquifer is less than or equal to the preset saturation index, the water quality of the first water-saturated aquifer of the first mine will change when the water quality of at least one of the first water-saturated aquifers does not reach equilibrium, and all the water qualities of the first water-saturated aquifers after the water quality equilibrium of all the first water-saturated aquifers need to be predicted again, the water quality of the first water-saturated aquifer of the first mine will not change when the water quality of all the first water-saturated aquifers reaches equilibrium, and all the water qualities of the first water-saturated aquifers do not need to be predicted again.
[0090] In an optional implementation, the device further includes:
[0091] The constructing unit is configured to construct the water-rock reaction kinetics model.
[0092] In an optional implementation, the constructing unit includes:
[0093] The third acquisition module is configured to acquire fourth data, fifth data and a second sequence when water quality of at least one second water-filled aquifer does not reach equilibrium, the second water-filled aquifer being a water-filled aquifer of the second mine, the fourth data including the first characteristic parameters of water of all the second water-filled aquifers, the fifth data including the second characteristic parameters of rocks of all the second water-filled aquifers, and the second sequence being a distribution sequence of the second water-filled aquifers in a vertical direction;
[0094] The fourth acquisition module is configured to acquire sixth data, the sixth data including the first characteristic parameters of a plurality of first mixed waters at a plurality of continuous time nodes, one of the first mixed waters being obtained by reacting water of any two of the second water-filled aquifers;
[0095] Specifically, in the vertical direction (from high to low), the distribution sequence of the water-filled aquifers of the second mine is Zhidan group aquifer 20-7, lower Anqi group-upper Yan'an group aquifer 20-10, lower Anqi group-upper Yan'an group aquifer 22-13, middle Yan'an group aquifer 22-10, middle Yan'an group aquifer 18-13, lower Yan'an group aquifer 18-7 and lower Yan'an group aquifer 22-7, and the mixing ratio of water of two second water-filled aquifers can be 1:1, 1:2 and 1:3. When the mixing ratio of Zhidan group aquifer 20-7 and lower Anqi group-upper Yan'an group aquifer 22-13 is 1:1, the first characteristic parameters (K+, F-, NO2-, PH value, NO3-, ORP value, Ca2+, Mg2+, Cl-, Na+, SO4 2- , conductivity, TDS value) of water of Zhidan group aquifer 20 before mixing, the first characteristic parameters of water of lower Anqi group-upper Yan'an group aquifer 22-13, and the first characteristic parameters of the first mixed water after mixing are as shown in Table 1. Figure 3 When the mixing ratio of Zhidan group aquifer 20-7 and lower Anqi group-upper Yan'an group aquifer 22-13 is 1:2, the first characteristic parameters (K + , F - , Ca 2+ , NO3 - , PH value, CO3 2- , Mg 2+ , HCO3 2- , ORP value, Cl - , Na + , SO4 2- , conductivity, TDS value) of water of Zhidan group aquifer 20 before mixing, the first characteristic parameters of water of lower Anqi group-upper Yan'an group aquifer 22-13, and the first characteristic parameters of the first mixed water after mixing are as shown in Table 2. Figure 4
[0096] The fifth acquisition module is used to acquire the seventh data, which includes the first characteristic parameters of various second mixed waters at multiple consecutive time points. One type of second mixed water is obtained by reacting water from a second water-filled aquifer with a type of rock.
[0097] Specifically, the first characteristic parameter (Na) of the second mixed water obtained from the reaction of water in the aquifer 18-13 of the central Yan'an Formation with the fine-grained sandstone of the Zhidan Group is... + K + Ca 2+ Mg 2+ pH value, CI - SO4 2- CO3 2- The changes in conductivity and TDS value from day 0 to day 15 are as follows: Figure 5 and 6 As shown.
[0098] The sixth acquisition module is used to acquire the eighth data, which includes the first characteristic parameters of multiple third mixed waters at multiple consecutive time points. The third mixed water is obtained by reacting water from the second water-filled aquifer with multiple types of rocks in sequence.
[0099] The construction module is used to construct the above-mentioned water-rock reaction dynamic model based on the above-mentioned fourth data, fifth data, sixth data, seventh data, eighth data and the above-mentioned second order, using reaction kinetic equations. The above-mentioned reaction kinetic equations can be any of the following: pseudo-first-order reaction kinetic equation, Elovicoh equation, parabolic diffusion equation, pseudo-second-order kinetic equation.
[0100] Specifically, the pseudo-first-order reaction kinetic equation is mainly used to describe the kinetic processes controlled by diffusion mechanisms. It can quantify the rate at which the reaction reaches equilibrium and determine the possible concentration of the solution after equilibrium. The pseudo-first-order reaction kinetic equation is as follows: M t =M0×[1-exp(-k m The Elovich equation, an empirical formula, describes a series of reaction mechanisms, such as solute diffusion in the liquid phase or at the interface, surface activation and deactivation, etc. The Elovich equation is as follows: M t =M0+k m The parabolic diffusion equation (×lnt) describes the adsorption and desorption kinetics of mineral ions, controlled by multiple diffusion mechanisms. It measures the rates of mass transfer and physicochemical reactions during release. When the reaction is primarily controlled by a single diffusion mechanism, the parabolic equation can describe the entire process. It is best suited for describing the kinetics of diffusion within particles. The parabolic diffusion equation is as follows: The pseudo-second order kinetics equation is used for a process reaction reaching equilibrium, and the pseudo-second order kinetics equation is as follows: wherein M t is the cumulative release amount, M0 is the potential release amount, k m is a first-order release rate constant, and t is a reaction time.
[0101] In an alternative embodiment, the processing unit is further configured to:
[0102] inputting the first data, the second data, and the first sequence into the water-rock reaction kinetics model, and obtaining ninth data, the ninth data comprising a variation range of the first characteristic parameter of the water of the first water-filled aquifer.
[0103] Specifically, the existing mine water quality prediction method can only determine the water quality of the water-filled aquifer after reaching equilibrium, and cannot determine the variation of the water quality of the water-filled aquifer before reaching equilibrium. The water-rock reaction kinetics model can determine the variation of the water quality of the water-filled aquifer before reaching equilibrium, and determine the variation range of the first characteristic parameter of the water-filled aquifer.
[0104] In an alternative embodiment, the device comprises:
[0105] a determining unit configured to determine a transfer amount of each mineral of the rock of each of the first water-filled aquifers, the transfer amount being an amount of the mineral of the rock of the first water-filled aquifer dissolved into water;
[0106] a sending unit configured to send the third data to the client in a case where the transfer amount of each mineral of the rock of each of the first water-filled aquifers is less than or equal to a corresponding amount.
[0107] Specifically, the amount of a certain mineral of the rock of the water-filled aquifer dissolved into water cannot be greater than the amount of the mineral in the rock. If the amount of the mineral of the rock of the water-filled aquifer dissolved into water is less than or equal to the amount of the corresponding mineral, it indicates that the first characteristic parameter of the water-filled aquifer predicted by the water-rock reaction kinetics model is accurate, and the first characteristic parameter of the water-filled aquifer is sent to the client.
[0108] In an alternative embodiment, after the step S401, the method further comprises:
[0109] in a case where the transfer amount of at least one mineral of the rock of each of the first water-filled aquifers is greater than a corresponding amount, sending alarm information to the client, the alarm information indicating that the third data is incorrect.
[0110] In an alternative embodiment, the sending unit comprises:
[0111] The generating module is configured to generate a plurality of mine water quality maps based on the third data, wherein each mine water quality map corresponds to a first characteristic parameter of the water in the first water-filled aquifer, and each mine water quality map is a spatial distribution map of the first characteristic parameter of the water in the first water-filled aquifer.
[0112] The sending module is configured to send the mine water quality maps to the client.
[0113] Specifically, the spatial distribution maps of the first characteristic parameters of the water in each water-filled aquifer are generated based on the third data, so that the water quality conditions of each water-filled aquifer are intuitive and visual, and the mine water quality map of K+ in Zhidan group aquifer 20-7 is as shown in FIG. 6, wherein the darker the color of the area, the higher the concentration of K+. Figure 7 The mine water quality map of SO42- in Zhidan group aquifer 20-7 is as shown in FIG. 7, wherein the darker the color of the area, the higher the concentration of SO42-. Figure 8
[0114] The mine water-filled aquifer water quality prediction device comprises a processor and a memory, and the acquisition unit and the processing unit are stored in the memory as program units, and the corresponding functions are realized by the processor executing the program units stored in the memory. The modules are located in the same processor, or the modules are located in different processors in any combination.
[0115] The processor comprises a core, and the core retrieves the corresponding program units from the memory. The core can be set to one or more, and the existing mine water quality prediction method only considers the influence of the mixed water of different water-filled aquifers on the mine water quality, which leads to the problem of low accuracy of the predicted mine water quality after the balance of the mine water quality.
[0116] The memory can include non-persistent memory in a computer readable medium, random access memory (RAM) and / or non-volatile memory such as read-only memory (ROM) or flash memory (flash RAM), and the memory includes at least one memory chip.
[0117] The embodiment of the present application provides a computer readable storage medium, and the computer readable storage medium comprises a stored program, wherein the program controls the device where the computer readable storage medium is located to execute the mine water-filled aquifer water quality prediction method when the program runs.
[0118] Specifically, the mine water-filled aquifer water quality prediction method comprises:
[0119] Step S201, in the process of coal mining in the first mine, first data, second data and first order are acquired;
[0120] The first data includes first characteristic parameters of water of a plurality of first water-filled aquifers, and the first characteristic parameters include concentrations of a plurality of mineral ions, a TDS value of water, a PH value of water, a conductivity of water, and an ORP value; the second data includes second characteristic parameters of rocks of the first water-filled aquifers, and the second characteristic parameters include contents of a plurality of minerals; and the first order is a distribution order of the first water-filled aquifers in a vertical direction.
[0121] Step S202, the first data, the second data and the first order are input into a water-rock reaction kinetics model to obtain at least third data;
[0122] The third data are the first characteristic parameters of water of all the first water-filled aquifers when water qualities of all the first water-filled aquifers reach equilibrium; and the water-rock reaction kinetics model is used to determine the first characteristic parameters of water of all the first water-filled aquifers after water of different first water-filled aquifers reacts and / or after water of the first water-filled aquifers reacts with rocks of the first water-filled aquifers according to the distribution order of the first water-filled aquifers.
[0123] The embodiment of the present application provides a processor used for running a program, wherein the processor is used for executing the prediction method of water quality of a water-filled aquifer in a mine when the program is running.
[0124] Specifically, the prediction method of water quality of a water-filled aquifer in a mine includes:
[0125] Step S201, in the process of coal mining in the first mine, first data, second data and first order are acquired;
[0126] The first data includes first characteristic parameters of water of a plurality of first water-filled aquifers, and the first characteristic parameters include concentrations of a plurality of mineral ions, a TDS value of water, a PH value of water, a conductivity of water, and an ORP value; the second data includes second characteristic parameters of rocks of the first water-filled aquifers, and the second characteristic parameters include contents of a plurality of minerals; and the first order is a distribution order of the first water-filled aquifers in a vertical direction.
[0127] Step S202, the first data, the second data and the first order are input into a water-rock reaction kinetics model to obtain at least third data;
[0128] The third data is the first characteristic parameter of water of all the first water-filled aquifers when water quality of all the first water-filled aquifers reaches balance, and the water-rock reaction kinetics model is used to determine the first characteristic parameter of water of all the first water-filled aquifers after the water of different water-filled aquifers reacts and / or after the water of the water-filled aquifers reacts with the rocks of the water-filled aquifers.
[0129] The embodiment of the present application provides a device, which comprises a processor, a memory, and a program stored in the memory and executable on the processor, and the processor implements at least the following steps when executing the program:
[0130] In step S201, first data, second data and a first sequence are acquired during coal mining in a first mine.
[0131] The first data comprises first characteristic parameters of water of a plurality of first water-filled aquifers, the first characteristic parameters comprise concentrations of a plurality of mineral ions, a TDS value of water, a PH value of water, a conductivity of water and an ORP value, the second data comprises second characteristic parameters of rocks of the first water-filled aquifers, the second characteristic parameters comprise contents of a plurality of minerals, the first sequence is a distribution sequence of the first water-filled aquifers in a vertical direction, and the first water-filled aquifers are water-filled aquifers of the first mine.
[0132] In step S202, the first data, the second data and the first sequence are input into a water-rock reaction kinetics model, and third data is obtained.
[0133] The third data is the first characteristic parameter of water of all the first water-filled aquifers when water quality of all the first water-filled aquifers reaches balance, and the water-rock reaction kinetics model is used to determine the first characteristic parameter of water of all the first water-filled aquifers after the water of different water-filled aquifers reacts and / or after the water of the water-filled aquifers reacts with the rocks of the water-filled aquifers.
[0134] The device herein can be a server, a PC, a PAD, a mobile phone or the like.
[0135] The present application further provides a computer program product, which is suitable for executing the program initialized with at least the following method steps when executed on a data processing device:
[0136] In step S201, first data, second data and a first sequence are acquired during coal mining in a first mine.
[0137] The first data includes first characteristic parameters of water in a plurality of first water-filled aquifers, and the first characteristic parameters include concentrations of a plurality of mineral ions, a TDS value of the water, a PH value of the water, a conductivity of the water, and an ORP value; the second data includes second characteristic parameters of rocks of the first water-filled aquifers, and the second characteristic parameters include contents of a plurality of minerals; the first sequence is a distribution sequence of the first water-filled aquifers in a vertical direction; and the first water-filled aquifers are water-filled aquifers of the first mine.
[0138] In step S202, the first data, the second data, and the first sequence are input into a water-rock reaction kinetics model to obtain third data.
[0139] The third data is the first characteristic parameters of water in all the first water-filled aquifers when water qualities of the first water-filled aquifers reach equilibrium; and the water-rock reaction kinetics model is used to determine the first characteristic parameters of water in all the first water-filled aquifers after water in different first water-filled aquifers reacts, and / or after water in the first water-filled aquifers reacts with rocks of the first water-filled aquifers according to the distribution sequence of the first water-filled aquifers.
[0140] Obviously, those skilled in the art should understand that the modules or steps of the present application can be realized by general computing devices, which can be concentrated on a single computing device or distributed on a network composed of multiple computing devices, and can be realized by program codes executable by the computing devices, so that they can be stored in storage devices and executed by the computing devices, and in some cases, the steps shown or described can be executed in different sequences, or they can be manufactured into individual integrated circuit modules or a single integrated circuit module. Therefore, the present application is not limited to any specific combination of hardware and software.
[0141] Those skilled in the art should understand that the embodiments of the present application can be provided as a method, a system, or a computer program product. Therefore, the present application can be in the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can be in the form of a computer program product implemented on one or more computer usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer usable program codes.
[0142] The computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart block or blocks. Figure 1 one or more flowcharts and / or blocks in the flowcharts and / or combination thereof. Figure 1 one or more flowcharts and / or blocks in the flowcharts and / or combination thereof.
[0143] The computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart block or blocks. Figure 1 one or more flowcharts and / or blocks in the flowcharts and / or combination thereof. Figure 1 one or more flowcharts and / or blocks in the flowcharts and / or combination thereof.
[0144] The computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart block or blocks. Figure 1 one or more flowcharts and / or blocks in the flowcharts and / or combination thereof. Figure 1 one or more flowcharts and / or blocks in the flowcharts and / or combination thereof.
[0145] In one typical configuration, the computing device includes one or more processors (CPUs), input / output interfaces, network interfaces, and memory.
[0146] The memory can include non-persistent memory and / or volatile memory, such as a random access memory (RAM) including a cache area for the temporary storage of data. The memory can also include non-volatile memory, such as read only memory (ROM) for storing structural information and / or instruction code to boot an operating system. The memory can also include solid state non-volatile memory (e.g., flash memory), disk drives, disk arrays, optical storage devices, tape storage devices, etc.
[0147] Computer-readable media includes permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer-readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassette, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information accessible to a computing device. According to the definition herein, computer-readable media does not include transitory computer-readable media, such as modulated data signals and carriers.
[0148] It should also be noted that the terms "comprising", "including" or any other variant thereof are intended to cover non-exclusive inclusion, so that processes, methods, articles or devices including a series of elements not only include those elements, but also include other elements not explicitly listed or inherent to such processes, methods, articles or devices. Without more limitations, the element defined by the statement "including a" does not exclude the presence of additional identical elements in the process, method, article or device including the element.
[0149] From the above description, it can be seen that the above-mentioned embodiments of the present application achieve the following technical effects:
[0150] 1) In the prediction method of the water quality of the water-filled aquifer of the mine of the present application, in the process of coal mining in the first mine, the first characteristic parameter of the water of the water-filled aquifer of the first mine, the second characteristic parameter of the rock of the water-filled aquifer of the first mine and the distribution order of the water-filled aquifer are input into the water-rock reaction kinetics model, the first characteristic parameter of the water of the water-filled aquifer of the first mine is obtained when the water quality of all the water-filled aquifers of the first mine reaches equilibrium, and the change of the water quality of the water-filled aquifer of the mine is determined. Since the water-rock reaction kinetics model simultaneously considers the reaction of water in different water-filled aquifers and the influence of the reaction of water in the water-filled aquifer and rock on the water quality of the water-filled aquifer, the water quality of the water-filled aquifer predicted by the water-rock reaction kinetics model is relatively high in accuracy. The existing mine water quality prediction method only considers the influence of the mixture of water in different water-filled aquifers of the mine on the water quality of the mine, resulting in low accuracy of the predicted water quality of the mine after equilibrium.
[0151] 2) In the water quality prediction device of the mine water-filled aquifer of the application, in the process of carrying out coal mining work in the first mine, the first characteristic parameter of the water of the water-filled aquifer of the first mine, the second characteristic parameter of the rock of the water-filled aquifer of the first mine, and the distribution sequence of the water-filled aquifer are input into the water-rock reaction kinetics model, the first characteristic parameter of the water of the water-filled aquifer of the first mine when the water quality of all the water-filled aquifers of the first mine reaches equilibrium is obtained, the change of the water quality of the water-filled aquifer of the mine is determined, since the water-rock reaction kinetics model simultaneously considers the reaction of the water of different water-filled aquifers and the influence of the reaction of the water of the water-filled aquifer and the rock on the water quality of the water-filled aquifer, therefore, the water quality of the water-filled aquifer predicted by the water-rock reaction kinetics model has relatively high accuracy, the problem that the existing mine water quality prediction method only considers the influence of the mixture of the water of different water-filled aquifers of the mine on the mine water quality, resulting in that the accuracy of the mine water quality after equilibrium is relatively low is solved.
[0152] The above only describes the preferred embodiments of the application and is not used to limit the application. The application can have various changes and modifications for those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the application shall be included in the protection scope of the application.
Claims
1. A method for predicting the water quality of aquifers in mines, characterized in that, The method includes: During coal mining operations in the first mine, first data, second data, and a first sequence are acquired. The first data includes first characteristic parameters of water in multiple first aquifers, including the concentration of various mineral ions, the TDS value of water, the pH value of water, the electrical conductivity of water, and the ORP value of water. The second data includes second characteristic parameters of rocks in each of the first aquifers, including the content of various minerals. The first sequence is the vertical distribution order of each of the first aquifers, and the first aquifers are the aquifers of the first mine. The first data, the second data, and the first sequence are input into the water-rock reaction kinetic model to obtain at least a third data. This third data consists of the first characteristic parameters of the water in all the first aquifers when the water quality of all the first aquifers reaches equilibrium. The water-rock reaction kinetic model is used to determine the first characteristic parameters of the water in all the aquifers after the water reacts with the rocks of the aquifers, according to the distribution order of the aquifers. Before acquiring the first data, the second data, and the first sequence, the method further includes: Construct the water-rock reaction kinetic model; The water-rock reaction kinetic model is constructed as follows: In the case where the water quality of at least one second water-bearing aquifer has not reached equilibrium, fourth data, fifth data, and second order are obtained. The second water-bearing aquifer is the water-bearing aquifer of the second mine. The fourth data includes the first characteristic parameters of the water in all the second water-bearing aquifers. The fifth data includes the second characteristic parameters of the rocks in all the second water-bearing aquifers. The second order is the distribution order of each second water-bearing aquifer in the vertical direction. Obtain the sixth data, which includes the first characteristic parameters of a variety of first mixed water at multiple consecutive time points, wherein the first mixed water is obtained by reacting water from any two second water-filled aquifers. Acquire seventh data, which includes the first characteristic parameters of multiple second mixed waters at multiple consecutive time points, wherein the second mixed water is obtained by reacting water from a second water-filled aquifer with a type of rock; The eighth data is obtained, which includes the first characteristic parameters of multiple third mixed waters at multiple consecutive time points. The third mixed water is obtained by reacting water from a second water-filled aquifer with multiple types of rocks in sequence. Based on the fourth data, the fifth data, the sixth data, the seventh data, the eighth data, and the second sequence, the water-rock reaction dynamic model is constructed using reaction kinetic equations.
2. The method according to claim 1, characterized in that, The reaction kinetic equation is any one of the following: pseudo-first-order reaction kinetic equation, Elovicoh equation, parabolic diffusion equation, or pseudo-second-order kinetic equation.
3. The method according to claim 1, characterized in that, Obtain the first data, the second data, and the first order, including: Obtain the saturation index of each mineral in the water of the first water-filled aquifer; If the saturation index of at least one mineral in the water of the first water-filled aquifer does not meet the preset condition, it is determined that the water quality of the first water-filled aquifer has not reached equilibrium. If the saturation index of all minerals in the water of the first water-filled aquifer meets the preset condition, it is determined that the water quality of the first water-filled aquifer has reached equilibrium. The preset condition is that the saturation index of the minerals is greater than the preset saturation index. If the water quality of at least one of the first water-filled aquifers has not reached equilibrium, the first data, the second data, and the first sequence are acquired.
4. The method according to claim 1, characterized in that, Inputting the first data, the second data, and the first sequence into the water-rock reaction kinetics model yields at least a third set of data, including: By inputting the first data, the second data, and the first sequence into the water-rock reaction kinetic model, a ninth data is obtained, which includes the variation range of the first characteristic parameters of the water in all the first water-filled aquifers.
5. The method according to claim 1, characterized in that, After inputting the first data, the second data, and the first sequence into the water-rock reaction kinetics model to obtain at least the third data, the method further includes: The amount of each mineral transferred from the rocks of each of the first water-filled aquifers is determined, wherein the amount of minerals in the rocks of the first water-filled aquifers dissolved in water is determined; If the amount of each mineral transferred in the rocks of the first water-filled aquifer is less than or equal to the corresponding content, the third data is sent to the client.
6. The method according to claim 5, characterized in that, Sending the third data to the client, the method includes: Based on the third data, multiple mine water quality maps are generated. Each mine water quality map corresponds to a first characteristic parameter of the water in the first water-filled aquifer. The mine water quality map is a spatial distribution map of the first characteristic parameter of the water in the first water-filled aquifer. The mine water quality map is sent to the client.
7. A device for predicting the water quality of aquifers in mines, characterized in that, The device includes: The acquisition unit is used to acquire first data, second data, and a first sequence during coal mining operations in the first mine. The first data includes first characteristic parameters of water in multiple first water-bearing aquifers, including the concentration of various mineral ions, the TDS value of water, the pH value of water, the electrical conductivity of water, and the ORP value of water. The second data includes second characteristic parameters of rocks in each of the first water-bearing aquifers, including the content of various minerals. The first sequence is the vertical distribution order of each of the first water-bearing aquifers, and the first water-bearing aquifers are the water-bearing aquifers of the first mine. The processing unit is configured to input the first data, the second data, and the first sequence into a water-rock reaction kinetic model to obtain at least a third data. The third data consists of the first characteristic parameters of the water in all the first water-bearing aquifers when the water quality in all the first water-bearing aquifers has reached equilibrium. The water-rock reaction kinetic model is used to determine, according to the distribution sequence of the water-bearing aquifers, the first characteristic parameters of the water in all the water-bearing aquifers after the water in different water-bearing aquifers has reacted, and / or after the water in the water-bearing aquifers has reacted with the rocks in the water-bearing aquifers. The device further includes: Construction unit, used to construct the water-rock reaction kinetic model; The building unit includes: The third acquisition module is used to acquire fourth data, fifth data and second order when the water quality of at least one second water-bearing aquifer has not reached equilibrium. The second water-bearing aquifer is the water-bearing aquifer of the second mine. The fourth data includes the first characteristic parameters of the water in all the second water-bearing aquifers. The fifth data includes the second characteristic parameters of the rocks in all the second water-bearing aquifers. The second order is the distribution order of each second water-bearing aquifer in the vertical direction. The fourth acquisition module is used to acquire the sixth data, which includes the first characteristic parameters of a variety of first mixed water at multiple consecutive time points, wherein the first mixed water is obtained by reacting any two water-filled aquifers. The fifth acquisition module is used to acquire the seventh data, which includes the first characteristic parameters of various second mixed waters at multiple consecutive time points. The second mixed water is obtained by reacting water from a second water-filled aquifer with a type of rock. The sixth acquisition module is used to acquire the eighth data, which includes the first characteristic parameters of multiple third mixed waters at multiple consecutive time points. The third mixed water is obtained by reacting water from a second water-filled aquifer with multiple types of rocks in sequence. A construction module is used to construct the water-rock reaction dynamic model based on the fourth data, the fifth data, the sixth data, the seventh data, the eighth data, and the second sequence, using reaction kinetic equations.
8. A computer-readable storage medium, characterized in that, The computer-readable storage medium includes a stored program, wherein, when the program is executed, it controls the device containing the computer-readable storage medium to perform the method for predicting the water quality of aquifers in mines according to any one of claims 1 to 6.
9. A processor, characterized in that, The processor is used to run a program, wherein the program executes the method for predicting the water quality of aquifers in mines according to any one of claims 1 to 6.
10. An electronic device, characterized in that, include: One or more processors, a memory, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs including a method for performing a method for predicting the water quality of a mine-filled aquifer as described in any one of claims 1 to 6.
Citation Information
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