CN114048582B - Mine water disaster spreading process prediction method and device, electronic equipment and storage medium - Google Patents
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Abstract
The invention discloses a method and a device for predicting a mine water disaster spreading process, electronic equipment and a storage medium. The method comprises the following steps: acquiring mine roadway data; constructing a mine mining space model according to mine roadway data; constructing a mine water disaster spreading process prediction model; and predicting the mine water disaster spreading process according to the simulation result determined by the mine water disaster spreading process prediction model. Physical model tests of the mine water disaster spreading process are carried out, a mine tunnel network similar model is built, the spreading process of the water disaster in the mine and the flow state characteristics of the water bursting are observed through the model tests, and a data basis is provided for verification of numerical value prediction results. And the reliability of the numerical prediction model of the mine water disaster spreading process is verified and improved through the comparison and correction of the test and the simulation result. The method is beneficial to helping the production mine to adopt an effective mode to treat water damage and reduce well flooding loss caused by the water damage.
Description
Technical Field
The application relates to the technical field of mine water damage prediction, in particular to a mine water damage spreading process prediction method, a device, electronic equipment and a storage medium.
Background
Water damage is one of the main threats of underground mine exploitation, mine hydrologic and geological conditions become more complex with the increase of exploitation depth, and water damage accidents are difficult to avoid. The water damage accident can cause the damage of mine inundation, equipment damage, casualties and the like, and severely restricts the normal exploitation of the mine. The process of spreading the water disaster in the mine is unclear, so that certain difficulties are brought to the reasonable formulation of underground water disaster prevention schemes and personnel escape schemes. The method can effectively reduce economic and personnel losses caused by water damage by accurately predicting the mine water damage spreading process, and has very important guidance and practical value for mine production.
At present, the research on mine water damage is focused on the prediction and evaluation before the accident and the treatment technology of the water source after the accident, the prediction of the spreading process of the water damage after the accident is freshly reported, and the quantitative evaluation of underground water damage disaster condition is lacking. Because of the large scale of mine roadways, complex connection and the nonlinear characteristics of water hazard evolution, a certain difficulty exists in establishing a quantitative water hazard spreading process prediction model. Currently, the prior art mostly uses graph theory algorithm to search the water-bursting propagation path or calculate the water-bursting propagation range according to the conservation of water quantity. These methods do not take into account the hydrodynamic characteristics of the complete water burst and the ponding of the goaf, and lack test or observation data for verifying the simulation results, which make the calculated water damage spread process lacking a certain reliability.
At present, a water level monitoring device is generally lacking in a roadway of a production mine, the spreading process of water burst in the mine is not recorded in real time in the previous water burst case, and meanwhile, a water hazard spreading test in the production mine is not practical. These present some difficulties in verifying the predicted outcome of the water damage spread.
Disclosure of Invention
In view of the above, the application provides a method and a device for predicting a mine water disaster spreading process, an electronic device and a storage medium.
In a first aspect of the present application, there is provided a method for predicting a mine water damage spread process, comprising: acquiring mine roadway data; constructing a mine excavation space model according to the mine roadway data; constructing a mine water disaster spreading process prediction model; and predicting the spreading process according to the simulation result determined by the mine water damage spreading process prediction model.
In a second aspect of the present application, there is provided a mine water damage spread process prediction apparatus comprising: the acquisition module is configured to acquire mine roadway data; a first construction module configured to construct a mine mining space model from the mine roadway data; the second construction module is configured to acquire a mine water disaster spreading process prediction model; a prediction module configured to predict a spreading process according to a simulation result determined by the mine water damage spreading process prediction model.
In a third aspect of the present application, there is provided an electronic apparatus comprising: a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the method of the first aspect when executing the program.
In a fourth aspect of the application, there is provided a non-transitory computer readable storage medium storing a set of instructions for an electronic device for causing the electronic device to perform the method of the first aspect.
Compared with the related technology, the numerical prediction model for the mine water disaster spreading process, which is provided by the embodiment of the application, meets the actual mine production requirements, and can be used for simulating the water diversion effect of the roadway water inrush spreading process, goaf ponding, water sump ponding and drainage ditches and the treatment effect of a pump, a gate or a water retaining wall on the water disaster; physical model tests of the mine water disaster spreading process are carried out, a mine tunnel network similar model is built, the spreading process of the water disaster in the mine and the flow state characteristics of the water bursting are observed through the model tests, and a data basis is provided for verification of numerical value prediction results. The reliability of the numerical prediction model of the mine water disaster spreading process can be effectively improved through the comparison and correction of the test and the simulation result. The method is beneficial to helping the production mine to adopt an effective mode to treat water damage and reduce well flooding loss caused by the water damage.
Drawings
For a clearer description of one or more embodiments of the present description or of the solutions of the prior art, the drawings that are necessary for the description of the embodiments or of the prior art will be briefly described, it being apparent that the drawings in the description below are only one or more embodiments of the present description, from which other drawings can be obtained, without inventive effort, for a person skilled in the art.
Fig. 1 shows a schematic flow chart of an exemplary method for predicting a mine water damage spreading process according to an embodiment of the present application.
Fig. 2 shows a schematic diagram of a construction flow of a mine water disaster spreading process prediction model according to an embodiment of the application.
Fig. 3 shows a schematic overview of a roadway and goaf generalized process according to an embodiment of the present application.
FIG. 4 shows a test prototype roadway plane and station layout in accordance with an embodiment of the present application.
Fig. 5 shows a cross-sectional view of a prototype roadway of an experiment in accordance with an embodiment of the present application.
FIG. 6A shows a graph of test condition water inflow according to an embodiment of the application.
FIG. 6B illustrates a graph of test condition drain flow according to an embodiment of the application.
FIG. 7 shows a prototype test roadway system space model diagram in accordance with an embodiment of the present application.
FIG. 8A shows a comparison of h 1 position test and numerical prediction model calculated water level results, according to an embodiment of the application.
FIG. 8B shows a comparison of h 2 position test and numerical prediction model calculated water level results, in accordance with an embodiment of the present application.
FIG. 8C shows a comparison of h 3 position test and numerical prediction model calculated water level results, in accordance with an embodiment of the present application.
FIG. 8D shows a comparison of h 7 position test and numerical prediction model calculated water level results, in accordance with an embodiment of the present application.
FIG. 8E shows a comparison of h 9 position test and numerical prediction model calculated water level results, in accordance with an embodiment of the present application.
FIG. 8F shows a comparison of h 13 position test and numerical prediction model calculated water level results, in accordance with an embodiment of the present application.
FIG. 8G shows a comparison of h 15 position test and numerical prediction model calculated water level results, according to an embodiment of the application.
FIG. 8H shows a comparison of H 18 position test and numerical prediction model calculated water level results, according to an embodiment of the application.
Fig. 9 shows various energy loss station 2 calculations and test water level comparisons according to an embodiment of the application.
Fig. 10 shows a conceptual diagram of a north-octal mine in accordance with an embodiment of the present application.
Fig. 11 shows a cross-sectional view of a north octyl kiln mine tunnel according to an embodiment of the application.
Fig. 12 shows a graph of water inrush for the north octant mine water hazard case, in accordance with an embodiment of the present application.
Fig. 13A shows scenario 1 water burst propagation and mine flooding prediction result graphs at 3h according to an embodiment of the present application.
Fig. 13B shows scenario 1 water burst propagation and mine flooding prediction results at 6h according to an embodiment of the present application.
Fig. 13C shows scenario 1 water burst propagation and mine flooding prediction results at 10h according to an embodiment of the present application.
Fig. 14A shows scenario 2 water burst propagation and mine flooding prediction result graphs at 3h according to an embodiment of the present application.
Fig. 14B shows scenario 2 water burst propagation and mine flooding prediction results at 6h according to an embodiment of the present application.
Fig. 14C shows a scenario 2 water burst propagation and mine flooding prediction result graph at 10h according to an embodiment of the present application.
Fig. 15A shows scenario 3 water burst propagation at 3h and mine flooding prediction results graphs, according to an embodiment of the present application.
Fig. 15B shows scenario 3 water burst propagation and mine flooding prediction results at 6h according to an embodiment of the present application.
Fig. 15C shows scenario 3 water burst propagation and mine flooding prediction results at 10h according to an embodiment of the present application.
Fig. 16 is a schematic structural view of an exemplary device for predicting a mine water disaster spreading process according to an embodiment of the present application.
Fig. 17 is a schematic diagram of an exemplary structure of an electronic device according to an embodiment of the present application.
Detailed Description
The present application will be further described in detail below with reference to specific embodiments and with reference to the accompanying drawings, in order to make the objects, technical solutions and advantages of the present application more apparent.
It should be noted that unless otherwise defined, technical or scientific terms used in one or more embodiments of the present specification should be given the ordinary meaning as understood by one of ordinary skill in the art to which the present application pertains. The use of the terms "first," "second," and the like in one or more embodiments of the present description does not denote any order, quantity, or importance, but rather the terms "first," "second," and the like are used to distinguish one element from another. The word "comprising" or "comprises", and the like, means that elements or items preceding the word are included in the element or item listed after the word and equivalents thereof, but does not exclude other elements or items. The terms "connected" or "connected," and the like, are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect.
As described above, water damage is one of the main threats of underground mining, and as mining depth increases, mine hydrologic and geological conditions become more complex, and occurrence of water damage accidents is difficult to avoid. The water damage accident can cause the damage of mine inundation, equipment damage, casualties and the like, and severely restricts the normal exploitation of the mine. The process of spreading the water disaster in the mine is unclear, so that certain difficulties are brought to the reasonable formulation of underground water disaster prevention schemes and personnel escape schemes. The method can effectively reduce economic and personnel losses caused by water damage by accurately predicting the mine water damage spreading process, and has very important guidance and practical value for mine production.
At present, the research on mine water damage is focused on the prediction and evaluation before the accident and the treatment technology of the water source after the accident, the prediction of the spreading process of the water damage after the accident is freshly reported, and the quantitative evaluation of underground water damage disaster condition is lacking. Because of the large scale of mine roadways, complex connection and the nonlinear characteristics of water hazard evolution, a certain difficulty exists in establishing a quantitative water hazard spreading process prediction model. Currently, the prior art mostly uses graph theory algorithm to search the water-bursting propagation path or calculate the water-bursting propagation range according to the conservation of water quantity. These methods do not take into account the hydrodynamic characteristics of the complete water burst and the ponding of the goaf, and lack test or observation data for verifying the simulation results, which make the calculated water damage spread process lacking a certain reliability.
At present, a water level monitoring device is generally lacking in a roadway of a production mine, the spreading process of water burst in the mine is not recorded in real time in the previous water burst case, and meanwhile, a water hazard spreading test in the production mine is not practical. These present some difficulties in verifying the predicted outcome of the water damage spread. The physical model test overcomes the difficulty in measurement and the limitation in the implementation of the prototype test, reduces the prototype according to a certain similarity criterion, and can study the water hazard spreading condition of the prototype by observing the flow process of the water burst in the model. Physical model tests provide the possibility to observe the flow state characteristics of water damage spreading in the mine and to monitor the change of the mine water level. The method has been successfully applied to a number of fields including: the application of the method in open channel bifurcation river channel, flood discharge pipeline, drainage pipeline and water delivery tunnel is not reported at present in mine water disaster.
In view of the above, the embodiment of the application provides a method for predicting a mine water disaster spreading process, which comprises the following steps: acquiring mine roadway data; constructing a mine excavation space model according to the mine roadway data; constructing a mine water disaster spreading process prediction model; and predicting the spreading process according to the simulation result determined by the mine water damage spreading process prediction model.
Compared with the related technology, the numerical prediction model for the mine water disaster spreading process, which is provided by the embodiment of the application, meets the actual mine production requirements, and can be used for simulating the water diversion effect of the roadway water bursting spreading process, goaf ponding, water sump ponding and drainage ditches and the treatment effect of a pump, a gate or a water retaining wall on the water disaster; physical model tests of the mine water disaster spreading process are carried out, a mine tunnel network similar model is built, the spreading process of the water disaster in the mine and the flow state characteristics of the water bursting are observed through the model tests, and a data basis is provided for verification of numerical value prediction results. The reliability of the numerical prediction model of the mine water disaster spreading process can be effectively improved through the comparison and correction of the test and the simulation result. The method is beneficial to helping the production mine to adopt an effective mode to treat water damage and reduce well flooding loss caused by the water damage.
Fig. 1 shows a schematic flow chart of an exemplary method for predicting a mine water damage spreading process according to an embodiment of the present application. The method comprises the following steps:
s102: and acquiring mine roadway data.
S104: and constructing a mine excavation space model according to the mine roadway data.
S106: and constructing a mine water disaster spreading process prediction model.
S108: and predicting the mine water disaster spreading process according to the simulation result determined by the mine water disaster spreading process prediction model.
For step S102, x, y, z coordinates of the mine wire point to be predicted may be extracted, and virtual wire points are added to the difference values of key nodes (inflection point, slope change point, head-on point and bifurcation point) of the missing wire point; then collecting a mining engineering plan of the mine, and extracting a roadway double-line diagram from the plan, wherein the roadway double-line diagram comprises a roadway network topological connection relationship and layout positions of a water pump and a gate; and finally, collecting mine tunnel section diagrams, and extracting section shape and size information of each tunnel.
For step S104, referring to fig. 2, the mine roadway data includes: the device comprises wire guide points, virtual wire guide points, a mine excavation engineering plane view and a mine tunnel section view; the construction of the mine excavation space model according to the mine roadway data further comprises the following steps: forming mine nodes according to the wire guide points and the virtual wire guide points, determining a roadway connection relation according to the mine excavation engineering plan, and determining section shape and size information according to the mine roadway section; connecting roadway sections among the mine nodes according to the roadway connection relation, and adding section shape and size information for each roadway section to establish mine roadway network topology; determining the effective water storage volume and the equivalent width of the goaf so as to generalize one-dimensional equivalent of the goaf; integrating the roadway section and the generalized goaf to construct the mine mining space model.
Specifically, the mine space model is used for carrying out a certain degree of abstraction on mine entities, establishing the relation between abstract elements and determining the attribute information of the abstract elements. The method comprises spatial topology and related parameter information, and is a data base for mathematical model establishment and calculation. The establishment of the mine space model comprises three steps: and establishing mine tunnel network topology, goaf one-dimensional equivalent generalization and parameter assignment.
For mine roadways, the cross section dimension is originally smaller than the roadway length, and the method focuses on solving the average water level and the flow velocity of the cross section, so that the mine roadway is generalized into a one-dimensional model. The key section in the mine tunnel is abstracted into a non-ponding node, and the non-ponding node comprises a slope change position, a head-on position, a bifurcation position and a section width mutation position, and the small water sump is abstracted into a ponding node. The roadway abstraction between adjacent nodes is a segment, so that mine roadway network topology is established according to the elevation and roadway fork connection relation. Consider furthermore the main water control facilities in mines, mainly comprising: pump, gate and retaining wall generalize the pump into the pump section, gate and retaining wall generalize into the retaining section.
For the working face of mountain exploitation, in the water bursting process, a part of water bursting can flow into the goaf, and the spreading range of the water in the roadway is affected. The goaf is generalized into a one-dimensional pipeline according to the water storage volume equivalence, and the generalized goaf and a mine roadway are coupled into a whole through a coal face section. Schematic representation of the generalized process of roadways and goafs is shown in fig. 2. The generalization of the goaf comprises the following two processes:
First, calculating the effective water storage volume of the goaf. The void in the goaf is made up of three parts: the fracture gap of the collapse zone rock, the fracture of the water guiding fracture zone and the fracture of the bending subsidence zone separation layer are the main water storage space, and the main consideration is given to the description. According to the height and the crushing expansion coefficient of the collapse zone, the calculation formula of the water storage volume in the goaf is as follows:
Vv＝Vk*(Kp-1)＝Hk*S*(Kp-1) (1)
Wherein K p is the coefficient of expansion of the crushed rock, V v is the volume of the water storage gap, V k is the whole volume of the crushed rock before crushing, H k is the height of the crushed rock, and S is the goaf area.
And secondly, calculating the equivalent width. The length of the generalized mining section is the length of the coal face, the section shape is rectangular, the height of the section is the height of the caving zone, and the section width is calculated according to the volume equality:
wherein H w is generalized goaf section width, and l is goaf section length.
Referring to fig. 3, after the goaf is generalized into a one-dimensional section, the generalized goaf and the mine tunnel are integrated together, and are connected together through a coal face according to actual mine stoping conditions.
After the mine tunnel, the related water control equipment and the goaf are generalized, geometrical, hydraulic or hydrological parameters are endowed on the generalized section and the nodes to form a mine space model, and the included parameter information is shown in table 1.
Table 1 mine space model parameters
Aiming at the step S106, the constructed numerical prediction model of the mine water disaster spreading process considers the functions of pump drainage, gate water retaining, sump water accumulation, drainage ditch water diversion and goaf water accumulation, and can reflect the spreading process of the water disaster in the real mine. The establishment of the numerical prediction model of the mine water disaster spreading process comprises the following parts:
First, a continuity equation is established at the node. For a non-ponding node, establishing a continuity equation according to a mass conservation equation, and for an open channel equation, the expression is as follows:
Where As is the water surface area of the adjoining section of the node. For pressurized flow, the water depth is not changed any more, the sum of the node position flow is 0, but under the pressurized state, the water flow is in a pressure-bearing state, the density of the water is not constant, and the flow is influenced by the water pressure, so that the segment flow is increased by one disturbance, and a node continuity equation under the pressurized flow state is obtained:
For ponding nodes, such as small water bins playing a role in ponding in the mine mining process, a ponding node control equation is established according to mass conservation, and the expression is as follows:
Wherein A n is the surface area of the water sump ponding.
And secondly, establishing a flow control equation in the mine roadway. Firstly, a roadway section clear-full flow equation is established. Unlike darcy flow, the water burst has a large flow inertia force in the roadway, is non-constant in time and non-uniform in space, and is characterized by the pressurized flow of an open channel or a pipeline. The control equation adopts a san velan equation, and establishes a continuity equation and a momentum equation on a roadway section according to a mass and momentum conservation law, wherein the expression is as follows:
Wherein A is the cross-sectional area of water, Q is the flow, H is the water level, t is the time, x is the distance, S f is the hydraulic ramp down, calculated according to Manning formula, beta is the Froude number adjustment coefficient for weakening the calculation instability caused by the transition of bright full current, alpha is the local energy loss, and is used for the power loss caused by the split flow, the change of slope or the section mutation. And then integrating the equations (3) and (4) to obtain a flow equation on the roadway section:
in the water damage generation process, the pump and the water blocking device play different roles for controlling the spreading of the water damage, and influence the flowing direction and the flowing speed of the water bursting. The water pump can discharge water around the pump to other positions or the ground surface, the application sets the pump section as the inner boundary of a given flow (formula 9), and the water can be transported from the starting node to the end node according to the water pumping amount of the pump, and the water is discharged out of the mine if the end node is an outlet boundary. Some of the devices in the mine which play a role in water blocking are completely closed, such as closed walls and sluice walls, and some are not completely closed, such as water blocking walls. To model these water blocking facilities uniformly, a slice equation (10) is set up on the gate segment.
Q＝qpump (9)
Wherein C w is the weir flow coefficient, l c is the gate section length, and H 0 is the gate water depth.
Then, a non-Darcy flow equation is established in the generalized goaf. Goaf is filled with broken stone and cannot be directly calculated by pipeline flow. Meanwhile, as the water burst flow speed is high, the seepage rule of the broken rock mass in the goaf does not accord with Darcy's law. The Forchheimer formula is often used for describing the nonlinear flow of the porous medium, and expanding the nonlinear flow to an unsteady flow to obtain a goaf non-darcy seepage model, wherein the model comprises a mass conservation equation, a momentum conservation equation and a state equation:
Where ρ is density, p is pressure, n is void fraction, C a is acceleration coefficient, μ is dynamic viscosity coefficient, λ is the fidaxl flow factor, k is permeability, and F is volumetric force this term only considers gravity. Assuming that the water flow in the goaf is incompressible and the density is constant, the equation of state in equation (11) is negligible. The goaf is equivalent to a pipeline, n is 1, the x direction is considered, and meanwhile, the two sides of the mass conservation equation and the momentum conservation equation in the formula (11) are multiplied by the cross-sectional area to obtain a goaf one-dimensional equivalent model, wherein the mass conservation equation and the momentum conservation equation are as follows:
Wherein A e is the effective water cross-sectional area, namely the cross-sectional area of the generalized mining section, Q e is the cross-sectional average flow, and C a defaults to a value of 1. The magnitude of λ is between 10 3～1010, λ is x 10 8 during the calculation. Some studies have shown that as the darcy effect increases, the permeability coefficient becomes smaller and the non-darcy factor becomes larger.
For step S106, referring to fig. 4 to 9, a physical model test is designed for experimental verification.
In some embodiments, the method further comprises: acquiring a typical roadway network system of a mine so as to design a physical model test prototype of the mine water disaster spreading process; building a physical model of a mine water disaster spreading process according to a gravity similarity criterion, and setting a test working condition scheme according to the change characteristics of the mine water bursting quantity; and determining a test result through a physical model test of the mine water disaster spreading process.
In some embodiments, physical model tests of the mine water damage spread process can be designed and performed when determining test results. The method specifically comprises the following steps:
First, a test prototype is designed. In order to establish a test model, a typical tunnel network system of a mine is selected as a test prototype, wherein the tunnel network system comprises main tunnels of the mine: the plan view and the section size information of the experimental prototype roadway are respectively shown in fig. 4 and fig. 5. The prototype roadway model range is 121.1m long along the x direction and 120.6m long along the y direction, and each roadway section is a rectangular section. The section of the main roadway is 4m wide and 3m high, the section of the water sump is 5m wide and 8m high, and the section of the shaft is circular and has a diameter of 6m. The cross section of the connecting roadway is two types, and the size of the drainage ditch is three types. The water-bursting inlet point is at S1, and the water-bursting mouth is circular with the diameter of 2m. The water outlet is positioned at the position of the water sump p1, and the caliber is 1m.
And secondly, selecting a model scale and test materials and building a test model. And comprehensively considering factors such as test precision, site conditions and the like, and designing a prototype model into a normal model of 1:10 according to a gravity similarity criterion. The geometric scale of the model is lambda L =10, and the relation between each physical quantity and the model scale is obtained according to the gravity similarity law, and is shown in table 2. In addition, a model is made of organic glass.
Table 2 table of relationship between physical quantity and model scale
Then, a test condition scheme is set. According to the variation characteristics of the water burst quantity of the mine, two working conditions are set in the test, and the variation and the diversion condition of the roadway water level under the non-constant condition are researched. The opening of the water discharge valve is consistent, and the water discharge is influenced by the water level height of the water sump and is a non-constant value. The inflow rates under both conditions are described as follows:
Working condition 1: similar to the water burst of the bottom plate, the water quantity is increased and then attenuated, the peak flow is 20.10m 3/h, and the test time is 53min;
Working condition 2: similar to the water burst of the bottom plate, water in the water-bearing layer enters through a fault or fracture channel, the water quantity is increased and then attenuated, the water is kept stable, the peak flow is 25.30m 3/h, and the test time is 66min.
Finally, a model test is performed. After the model is built, water is supplied to the roadway through the water tank, so that the water bursting process is simulated. The model inlet flow is controlled by an electronic valve, the inlet and outlet point flow is measured by a flowmeter, the water level is measured by a piezometer tube, and the record is carried out every 30s. The placement of the stations on the model is shown in FIG. 4. The inflow and drainage curves for the test conditions are shown in fig. 6A and 6B, where the time interval between adjacent moments is 30s.
In some embodiments, after the test results are obtained, to verify the accuracy of the established numerical prediction model, a spatial model of the prototype test roadway system is established, the established spatial model comprising 180 segments and 177 nodes, node 27 being the inflow node and node 40 being the drainage node, see fig. 7. And then, respectively taking inflow and drainage of the test working condition as boundary conditions of numerical simulation, and setting the wall roughness coefficient of the roadway section to be 0.01. When the sudden water flows through the branch, the head loss coefficient of the branch tunnel with a larger gradient is set to be 7, the simulation time step is set to be 0.1s, and the mass conservation error of the simulation result is controlled within 2%. Referring to fig. 8A-8H, which are comparison graphs of simulated and test water levels, it can be seen from the graphs that the fitting effect of test and simulation results is better, which illustrates that the numerical prediction model of the mine water disaster spreading process provided by the technology is reliable, and the spreading process of the water disaster in the mine can be accurately predicted.
And aiming at step S108, predicting the spreading process according to the simulation result determined by the mine water damage spreading process prediction model.
In a specific embodiment, the water inrush spreading process of the real mine can be predicted according to the mine water disaster spreading process prediction model. For example, according to the current water inrush problem of the bottom plate and related data in a mining area, the spreading process of the water disaster and the underground water disaster prevention and treatment effect under different water disaster conditions of the mine are predicted and evaluated.
The method comprises the steps of firstly, collecting and processing original mine data, wherein the method specifically comprises the following steps: extracting x, y and z coordinates of the mine wire point, and adding virtual wire points to the difference value of key nodes (inflection points, slope changing points, head-on points and bifurcation points) of the missing wire point; then collecting a mining engineering plan of the mine, and extracting a roadway double-line diagram from the plan, wherein the roadway double-line diagram comprises a roadway network topological connection relationship and layout positions of a water pump and a gate; and finally, collecting mine tunnel section diagrams, and extracting section shape and size information of each tunnel.
And then, using the mine data information collected in the steps to form mine nodes by the wire points and the virtual wire points, connecting the sections between the nodes into roadway sections, and simultaneously adding the shape and size information of the section for each roadway section as parameters of simulation calculation. The mine is provided with 7 water suction pumps in a central water bin, wherein three water suction pumps are used, three water suction pumps are used for standby and one water suction pump is used for overhauling, and the water suction quantity of the water suction pumps is 460m 3/h. And gates are arranged in the substation, the central pump room and the refuge chamber. And drainage ditches are arranged on the main roadway and the auxiliary conveying main roadway, and the size information of the drainage ditches is added to the section of the roadway. According to the advance length 298m of the stope face, the face is equivalently generalized to a one-dimensional section and a node, and the section width and the height of the generalized goaf are 47.6 and 25m respectively. The generalized mined out section is combined with a mine tunnel to form a mine space model, the established mine space model is referred to in fig. 10, and the mine section shape and size are referred to in fig. 11.
Secondly, a mine space model which can be built comprises mine nodes, roadway sections, pump sections, gate sections and generalized mining sections, and the numerical prediction model of the water damage spreading process built in the mine comprises the following five parts: establishing an equation (5) on the roadway section; establishing an equation (6) or (7) on the node; a constant flow value equation (9) is given on the pump section according to the drainage quantity; establishing an equation (10) on the gate segment; finally, an equation (12) is established on the generalized goaf section.
Finally, the spreading process of the water burst in the mine and the mine submerging range under different water damage conditions can be predicted according to the established numerical prediction model. Specifically, the mine is determined to be mainly threatened by the bottom plate Ore water according to the hydrogeological conditions of the mine and the past water hazard cases. The application selects the position as a water bursting point, predicts the water hazard spreading and mine inundation condition under two water bursting curves (forming scenes 1 and 2). The water damage water bursting quantity of the bottom plate is expressed as rising to reach a peak value and then decaying, and then the water bursting quantity is stable, and the water bursting quantity curve set in the embodiment is shown in fig. 12. 7 pumps are arranged in the central water sump, the water pumping quantity is 460m 3/h, the simulation time is 10h, and the time step is 0.2s. The mass conservation error of the simulation result is maintained within 0.1, and the calculation error requirement is met. Referring to fig. 13A-C and fig. 14A-C, water disaster spreading and mine flooding conditions predicted by water bursting scenes 1 and 2 of 3h, 6h and 10h are respectively, water level values of all sections are visually displayed, and the flooding degrees of mines at different positions at different times are depicted. Simulation results for scenarios 1 and 2 show that: when water is suddenly poured at the position, the water is suddenly flowed into the central water sump, and the transportation and return air lane at the lower part of the central water sump is easily submerged when the water draining capacity is insufficient. Therefore, aiming at the water damage condition, the water drainage capacity of the central water sump is increased, and the mine can be effectively prevented from being flooded.
In addition, to simulate the goaf effect, a point on the working surface of 17201 is selected as a water bursting point, and the water disaster spreading condition (scenario 3) under the condition of the water bursting curve c2 is calculated, and the simulation conditions are the same as the above settings. Referring to fig. 15A-C, which show the water disaster spreading and mine flooding at 3h, 6h and 10h respectively for the burst in this scenario, fig. 15A-C shows: when water burst occurs on the working surface of the 17201 mining area, the water burst flows into the rear goaf and then spreads upwards, and the spreading speed is low. At 10h, the water burst will flow out of the stope and spread rapidly to three major roadways. Aiming at the water damage condition, the water burst should be plugged and treated before spreading to a main roadway, so that extensive well flooding and casualties are avoided.
Compared with the related technology, the numerical prediction model for the mine water disaster spreading process, which is provided by the embodiment of the application, meets the actual mine production requirements, and can be used for simulating the water diversion effect of the roadway water inrush spreading process, goaf ponding, water sump ponding and drainage ditches and the treatment effect of a pump, a gate or a water retaining wall on the water disaster; physical model tests of the mine water disaster spreading process are carried out, a mine tunnel network similar model is built, the spreading process of the water disaster in the mine and the flow state characteristics of the water bursting are observed through the model tests, and a data basis is provided for verification of numerical value prediction results. The reliability of the numerical prediction model of the mine water disaster spreading process can be effectively improved through the comparison and correction of the test and the simulation result. Can effectively help the production mine to adopt an effective mode to treat water damage and reduce well flooding loss caused by the water damage. Through engineering application, the technology of the application can be used for predicting the spreading process of water damage in the mine under different disaster conditions, evaluating the disaster-affected area and range of the mine at different times and evaluating the action effect of the underground water damage treatment scheme.
It should be noted that the method of the present application may be performed by a single device, such as a computer or a server. The method of the embodiment can also be applied to a distributed scene, and is completed by mutually matching a plurality of devices. In the case of such a distributed scenario, one of the devices may perform only one or more steps of the method of the present application, the devices interacting with each other to complete the method.
Referring to fig. 16, based on the same inventive concept, one or more embodiments of the present application further provide a mine water damage spreading process prediction apparatus, including: the system comprises a first acquisition module, a first construction module, a second construction module and a prediction module.
The acquisition module is configured to acquire mine roadway data;
a first construction module configured to construct a mine mining space model from the mine roadway data;
the second construction module is configured to acquire a mine water disaster spreading process prediction model;
A prediction module configured to predict a mine water damage spread process according to a simulation result determined by the mine water damage spread process prediction model.
In some embodiments, the mine roadway data includes: the device comprises wire guide points, virtual wire guide points, a mine excavation engineering plane view and a mine tunnel section view;
the first building block is further configured to:
forming mine nodes according to the wire guide points and the virtual wire guide points, determining a roadway connection relation according to the mine excavation engineering plan, and determining section shape and size information according to the mine roadway section;
Connecting roadway sections among the mine nodes according to the roadway connection relation, and adding section shape and size information for each roadway section to establish mine roadway network topology;
determining the effective water storage volume and the equivalent width of the goaf so as to generalize one-dimensional equivalent of the goaf;
integrating the roadway section and the generalized goaf to construct the mine mining space model.
For convenience of description, the above devices are described as being functionally divided into various modules, respectively. Of course, the functions of each module may be implemented in one or more pieces of software and/or hardware when implementing one or more embodiments of the present description.
The device of the foregoing embodiment is configured to implement the corresponding method in the foregoing embodiment, and has the beneficial effects of the corresponding method embodiment, which is not described herein.
Based on the same inventive concept, one or more embodiments of the present disclosure further provide an electronic device, including a memory, a processor, and a computer program stored on the memory and capable of running on the processor, where the processor executes the program to implement a method for predicting a mine water damage spreading process according to any one of the embodiments above. Fig. 17 shows a more specific hardware architecture of an electronic device according to this embodiment, where the device may include: processor 1710, memory 1720, input/output interface 1730, communication interface 1740, and bus 1750. Wherein processor 1710, memory 1720, input/output interface 1730, and communication interface 1740 enable communication connection among each other within the device via bus 1750.
The processor 1710 may be implemented by a general purpose CPU (Central Processing Unit ), a microprocessor, an Application SPECIFIC INTEGRATED Circuit (ASIC), or one or more integrated circuits, etc. for executing related programs to implement the technical solutions provided in the embodiments of the present disclosure.
Memory 1720 may be implemented in the form of ROM (Read Only Memory), RAM (Random Access Memory ), static storage, dynamic storage, or the like. Memory 1720 may store an operating system and other application programs, and when the embodiments of the present disclosure are implemented in software or firmware, the relevant program code is stored in memory 1720 and executed by processor 1710 as called for.
The input/output interface 1730 is used to connect with an input/output module to implement information input and output. The input/output module may be configured as a component in a device (not shown) or may be external to the device to provide corresponding functionality. Wherein the input devices may include a keyboard, mouse, touch screen, microphone, various types of sensors, etc., and the output devices may include a display, speaker, vibrator, indicator lights, etc.
Communication interface 1740 is for connecting communication modules (not shown) to enable communication interactions of the present device with other devices. The communication module may implement communication through a wired manner (such as USB, network cable, etc.), or may implement communication through a wireless manner (such as mobile network, WIFI, bluetooth, etc.).
Bus 1750 comprises a path for transferring information between components of the device (e.g., processor 1710, memory 1720, input/output interface 1730, and communication interface 1740).
It is noted that although the above-described devices illustrate only processor 1710, memory 1720, input/output interface 1730, communication interface 1740, and bus 1750, in an implementation, the device may include other components necessary to achieve proper operation. Furthermore, it will be understood by those skilled in the art that the above-described apparatus may include only the components necessary to implement the embodiments of the present description, and not all the components shown in the drawings.
Based on the same inventive concept, one or more embodiments of the present disclosure also provide a non-transitory computer-readable storage medium storing computer instructions for causing the computer to perform a mine water damage propagation process prediction method according to any of the embodiments.
Embodiments of the present application also provide a computer-readable storage medium storing instructions. Which when executed is adapted to carry out the method described above. The computer readable storage media, including both non-transitory and non-transitory, removable and non-removable media, may be implemented in any method or technology for information storage. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of storage media for a computer 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 technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by a computing device.
The foregoing describes certain embodiments of the present application. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims can be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.
Those of ordinary skill in the art will appreciate that: the discussion of any of the embodiments above is merely exemplary and is not intended to suggest that the scope of the application (including the claims) is limited to these examples; the technical features of the above embodiments or in the different embodiments may also be combined within the idea of the application, the steps may be implemented in any order and there are many other variations of the different aspects of the application as described above, which are not provided in detail for the sake of brevity.
Additionally, well-known power/ground connections to Integrated Circuit (IC) chips and other components may or may not be shown within the provided figures, in order to simplify the illustration and discussion, and so as not to obscure the application. Furthermore, the devices may be shown in block diagram form in order to avoid obscuring the application, and also in view of the fact that specifics with respect to implementation of such block diagram devices are highly dependent upon the platform within which the present application is to be implemented (i.e., such specifics should be well within purview of one skilled in the art). Where specific details (e.g., circuits) are set forth in order to describe example embodiments of the application, it should be apparent to one skilled in the art that the application can be practiced without, or with variation of, these specific details. Accordingly, the description is to be regarded as illustrative in nature and not as restrictive.
While the application has been described in conjunction with specific embodiments thereof, many alternatives, modifications, and variations of those embodiments will be apparent to those skilled in the art in light of the foregoing description. For example, other memory architectures (e.g., dynamic RAM (DRAM)) may use the embodiments discussed.
The present application is intended to embrace all such alternatives, modifications and variances which fall within the broad scope of the appended claims. Therefore, any omission, modification, equivalent replacement, improvement, etc. of the present application should be included in the scope of the present application.
Claims (7)
1. A method for predicting a mine water damage spreading process, comprising:
Acquiring mine roadway data;
constructing a mine excavation space model according to the mine roadway data;
Constructing a mine water disaster spreading process prediction model;
Predicting a mine water disaster spreading process according to a simulation result determined by the mine water disaster spreading process prediction model;
The mine roadway data comprises: the device comprises wire guide points, virtual wire guide points, a mine excavation engineering plane view and a mine tunnel section view;
the construction of the mine excavation space model according to the mine roadway data further comprises the following steps:
forming mine nodes according to the wire guide points and the virtual wire guide points, determining a roadway connection relation according to the mine excavation engineering plan, and determining section shape and size information according to the mine roadway section;
Connecting roadway sections among the mine nodes according to the roadway connection relation, and adding the section shape and the dimension information for each roadway section to establish mine roadway network topology;
determining the effective water storage volume and the equivalent width of the goaf so as to generalize one-dimensional equivalent of the goaf;
integrating the roadway section and the generalized goaf to construct the mine mining space model;
The method for determining the effective water storage volume and the equivalent width of the goaf so as to generalize the one-dimensional equivalent of the goaf further comprises the following steps:
Determining the effective water storage volume of the goaf according to the height of the collapse zone and the coefficient of crushing expansion, wherein the calculation formula is as follows:
；
Wherein K p is the crushing expansion coefficient, V v is the volume of a water storage gap, V k is the whole volume before rock crushing, H k is the height of a collapse zone, and S is the goaf area;
Taking the length of the coal face as the length of the goaf, wherein the section is rectangular, the height of the section is the height of the caving zone, the equivalent width is calculated according to the principle of equal volume, and the calculation formula is as follows:
；
wherein H w is the section width of the generalized goaf, and l is the length of the goaf;
the mine node comprises: a non-ponding node and a ponding node;
The construction of the mine water disaster spreading process prediction model further comprises the following steps:
Establishing a continuity equation at the mine node, wherein the continuity equation at the non-ponding node is expressed as
；
Wherein As is the water surface area of the adjacent section of the node;
the continuity equation at the water accumulation node is expressed as
；
Wherein A n is the surface area of the water sump ponding;
establishing a flow control equation at the roadway section, wherein the flow control equation at the roadway section is expressed as
；
Wherein A is the cross-sectional area of water, Q is the flow, H is the water level, t is the time, x is the distance, S f is the hydraulic ramp down, beta is the Froude number adjustment coefficient, and alpha is the local energy loss;
The flow control equation at the gate segment is expressed as
；
Wherein C w is the slice coefficient; l c is the length of the gate section, and H 0 is the water depth of the gate section;
Establishing a fidaxy flow equation in the generalized goaf, expressed as
；
Wherein ρ is density, p is pressure, n is void fraction,Is an acceleration coefficient,/>Is dynamic viscosity coefficient,/>Is the fidaxflow factor, k is the permeability, and F is the volumetric force.
2. The method according to claim 1, characterized in that the method further comprises:
acquiring a typical roadway network system of a mine so as to design a physical model test prototype of the mine water disaster spreading process;
building a physical model of a mine water disaster spreading process according to a gravity similarity criterion, and setting a test working condition scheme according to the change characteristics of the mine water bursting quantity;
and determining a test result through a physical model test of the mine water disaster spreading process.
3. The method according to claim 2, characterized in that the method further comprises:
And verifying the accuracy of the prediction result according to the test result.
4. A mine water damage propagation process prediction apparatus for implementing the prediction method as claimed in claim 1, comprising:
the acquisition module is configured to acquire mine roadway data;
a first construction module configured to construct a mine mining space model from the mine roadway data;
The second construction module is configured to construct a mine water disaster spreading process prediction model;
A prediction module configured to predict a mine water damage spread process according to a simulation result determined by the mine water damage spread process prediction model.
5. The apparatus of claim 4, wherein the mine roadway data comprises: the device comprises wire guide points, virtual wire guide points, a mine excavation engineering plane view and a mine tunnel section view;
the first building block is further configured to:
forming mine nodes according to the wire guide points and the virtual wire guide points, determining a roadway connection relation according to the mine excavation engineering plan, and determining section shape and size information according to the mine roadway section;
Connecting roadway sections among the mine nodes according to the roadway connection relation, and adding section shape and size information for each roadway section to establish mine roadway network topology;
determining the effective water storage volume and the equivalent width of the goaf so as to generalize one-dimensional equivalent of the goaf;
integrating the roadway section and the generalized goaf to construct the mine mining space model.
6. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the method of any one of claims 1 to 3 when the program is executed.
7. A non-transitory computer readable storage medium storing a set of instructions for an electronic device for causing the electronic device to perform the method of any one of claims 1 to 3.
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