Underwater stratum scour depth evolution prediction method and device, electronic equipment and storage medium

Abstract

The invention provides an underwater stratum scour depth evolution prediction method and device, electronic equipment and a storage medium, and the method comprises the steps: carrying out the grid division of a batholith plane of an underground stratum, and determining a scour coefficient corresponding to each grid based on the longitudinal wave speed corresponding to each grid; determining a predicted scouring depth based on the unit width flow, the upstream and downstream water level difference and the scouring coefficient corresponding to each grid; and based on the observed scour depth and the predicted scour depth, determining a scour coefficient correction amount, and based on the scour coefficient correction amount and the scour coefficient corresponding to each grid, determining a target predicted scour depth. On one hand, a seismic refraction exploration method is utilized to obtain longitudinal wave velocities corresponding to grids in rocks in an area behind a dam, so that erosion coefficients corresponding to the grids are determined, and the erosion coefficients more conforming to actual geological conditions are obtained; on the other hand, the scouring coefficient is corrected through the difference between the scouring depth theoretical prediction value and the actual measurement value, and the accuracy of the next scouring depth prediction result is further improved.

Description

Technical Field

[0001] The present invention relates to the technical field of water conservancy and hydropower engineering, and particularly relates to a method, device, electronic device and storage medium for predicting the evolution of underwater stratum scouring depth. Background Art

[0002] Hydroelectric power stations are often equipped with various energy dissipation facilities. After the water flow passes through the energy dissipation facilities, there is still relatively large remaining energy, so a large amount of sediment on the downstream riverbed will be scoured away, causing the bedrock to break, forming scouring pits with various shapes downstream, and even causing partial or overall severe damage to the existing and under-construction projects. The development of the scouring pit is directly related to the safety of the dam body. Predicting the scouring pit depth is of great significance for ensuring the safety and stability of the water conservancy project.

[0003] Under the impact of the jet flow, the bedrock first undergoes fracture and disintegration, forming rock blocks of different sizes and shapes. Its main mechanical process is that the bedrock undergoes hydraulic fracture under the action of pulsating pressure in the cracks. The scouring resistance of the rock riverbed essentially reflects the ability of the bedrock to resist disintegration under the impact of the projected water flow. According to the scouring resistance of the bedrock to the water flow, bedrocks of different qualities are classified into difficult to scour (0.6 < k < 0.9), scourable (0.9 < k < 1.2), relatively easy to scour (1.2 < k < 1.6), and easy to scour (1.6 < k < 2.0), where k is the bedrock scouring coefficient. The main geological influencing factors are the mechanical properties of the rock and the structural characteristics of the bedrock. For the research on local scouring, the methods usually include the following four: in-situ observation, flume model test, theoretical analysis method, and computational fluid dynamics (CFD) method.

[0004] However, the traditional theoretical analysis method for scouring pit depth has technical drawbacks: the scouring pit depth calculation formula obtained by the theoretical analysis method is generally a semi-empirical formula. There are differences in the theories applied by various scholars, and there are also differences in the formula forms and calculation results obtained. All kinds of empirical formulas are related to the k value, but the k value of the rock scouring resistance is related to the occurrence of the rock, the fracture structure, the degree of joint development, etc. It is difficult to establish a practical k value theoretical formula purely from the physical concept. The k value set based on the characteristics of the apparent outcrop rock cannot comprehensively reflect the scouring resistance of the rock in the underlying stratum of the riverbed, resulting in poor agreement between the existing estimation methods and the actual observed values. Summary of the Invention

[0005] The present invention provides a method, device, electronic device and storage medium for predicting the evolution of underwater stratum scouring depth, so as to solve the defect that the target predicted scouring depth obtained by the existing scouring depth determination method has poor agreement with the actual observed value.

[0006] The present invention provides a method for predicting the evolution of the scouring depth of an underwater formation, comprising the following steps: Divide the rock base surface of the underground rock formation into grids, and determine the scouring coefficient corresponding to each grid based on the longitudinal wave velocity corresponding to each grid; Based on the discharge per unit width, the water level difference between the upstream and downstream, and the scouring coefficient corresponding to each grid, determine the predicted scouring depth; Based on the observed scouring depth and the predicted scouring depth, determine the scouring coefficient correction amount, and based on the scouring coefficient correction amount and the scouring coefficient corresponding to each grid, determine the target predicted scouring depth.

[0007] According to the method for predicting the evolution of the scouring depth of an underwater formation provided by the present invention, the step of dividing the rock base surface of the underground rock formation into grids and determining the scouring coefficient corresponding to each grid based on the longitudinal wave velocity corresponding to each grid includes: Divide the rock base surface of the underground rock formation into grids, and average the multi-point longitudinal wave velocities corresponding to the longitudinal profiles of each grid to obtain the scouring coefficient corresponding to each grid.

[0008] According to the method for predicting the evolution of the scouring depth of an underwater formation provided by the present invention, the step of determining the scouring coefficient correction amount based on the observed scouring depth and the predicted scouring depth includes: Based on the observed scouring depth, the predicted scouring depth, the discharge per unit width, and the water level difference between the upstream and downstream, determine the scouring coefficient correction amount.

[0009] According to the method for predicting the evolution of the scouring depth of an underwater formation provided by the present invention, the step of determining the scouring coefficient correction amount based on the observed scouring depth, the predicted scouring depth, the discharge per unit width, and the water level difference between the upstream and downstream includes: Based on the following formula, determine the scouring coefficient correction amount: wherein, represents the scouring coefficient correction amount, represents the observed scouring depth, represents the predicted scouring depth, represents the discharge per unit width, represents the water level difference between the upstream and downstream.

[0010] According to the method for predicting the evolution of the scouring depth of an underwater formation provided by the present invention, the step of determining the target predicted scouring depth based on the scouring coefficient correction amount and the scouring coefficient corresponding to each grid includes: Based on the current scouring coefficient correction amount, the scouring coefficient corresponding to each grid, the discharge per unit width, and the water level difference between the upstream and downstream, determine the next predicted scouring depth; Determine the next scour coefficient correction amount based on the next observed scour depth and the next predicted scour depth; Use the next scour coefficient correction amount as the current scour coefficient correction amount, and perform the step of determining the next predicted scour depth based on the current scour coefficient correction amount, the scour coefficients corresponding to the respective grids, the unit width flow rate, and the upstream and downstream water level differences, until the current scour coefficient correction amount is less than a preset threshold, and use the last determined next predicted scour depth as the target predicted scour depth.

[0011] According to an underwater stratum scour depth evolution prediction method provided by the present invention, the step of determining the next predicted scour depth based on the current scour coefficient correction amount, the scour coefficients corresponding to the respective grids, the unit width flow rate, and the upstream and downstream water level differences includes: Determine the next predicted scour depth based on the following formula: where, represents the next predicted scour depth, represents the scour coefficients corresponding to the respective grids, represents the current scour coefficient correction amount, represents the unit width flow rate, represents the upstream and downstream water level differences.

[0012] The present invention also provides an underwater stratum scour depth evolution prediction device, including the following units: A scour coefficient determination unit, configured to divide the rock base surface of the underground rock formation into grids, and determine the scour coefficients corresponding to the respective grids based on the longitudinal wave velocities corresponding to the respective grids; A predicted scour depth determination unit, configured to determine the predicted scour depth based on the unit width flow rate, the upstream and downstream water level differences, and the scour coefficients corresponding to the respective grids; A target predicted scour depth determination unit, configured to determine the scour coefficient correction amount based on the observed scour depth and the predicted scour depth, and determine the target predicted scour depth based on the scour coefficient correction amount and the scour coefficients corresponding to the respective grids.

[0013] The present invention also provides an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor, where the processor implements the underwater stratum scour depth evolution prediction method as described in any one of the above when executing the program.

[0014] The present invention also provides a non-transitory computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the underwater stratum scour depth evolution prediction method as described in any one of the above is implemented.

[0015] The present invention also provides a computer program product, including a computer program which, when executed by a processor, implements the method for predicting the evolution of the scouring depth of an underwater formation as described in any one of the above.

[0016] The method, device, electronic equipment and storage medium for predicting the evolution of the scouring depth of an underwater formation provided by the present invention divide the rock base surface of an underground rock formation into grids, determine the scouring coefficient corresponding to each grid based on the longitudinal wave velocity corresponding to each grid, then determine the predicted scouring depth based on the unit-width discharge, the water level difference between the upstream and downstream, and the scouring coefficient corresponding to each grid. Finally, based on the observed scouring depth and the predicted scouring depth, determine the correction amount of the scouring coefficient, and determine the target predicted scouring depth based on the correction amount of the scouring coefficient and the scouring coefficient corresponding to each grid. On the one hand, to address the problem that it is difficult to accurately estimate the scouring coefficient (k value), the seismic refraction exploration method is used to obtain the longitudinal wave velocity corresponding to each grid in the rock behind the dam, that is, the three-dimensional distribution of the longitudinal wave velocity, and the scouring coefficient corresponding to each grid is determined based on the longitudinal wave velocity corresponding to each grid, so as to obtain a scouring coefficient that better conforms to the actual geological situation. On the other hand, by combining the theoretical prediction method and in-situ observation method of the scouring depth, the scouring coefficient is corrected using the difference between the theoretical predicted value and the measured value of the scouring depth, further improving the accuracy of the next scouring depth prediction result. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] To more clearly illustrate the technical solutions in the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0018] Figure 1 is one of the flow schematic diagrams of the method for predicting the evolution of the scouring depth of an underwater formation provided by the present invention.

[0019] Figure 2 is a schematic diagram of the scouring coefficient of the rock base surface calculated based on the longitudinal wave velocity provided by the present invention.

[0020] Figure 3 is a schematic diagram of the scouring depth of the rock base surface calculated based on the anti-scouring coefficient provided by the present invention.

[0021] Figure 4 is another flow schematic diagram of the method for predicting the evolution of the scouring depth of an underwater formation provided by the present invention.

[0022] Figure 5 is a structural schematic diagram of the device for predicting the evolution of the scouring depth of an underwater formation provided by the present invention.

[0023] Figure 6It is a schematic structural diagram of the electronic device provided by the present invention. Specific Embodiments

[0024] To make the objectives, technical solutions and advantages of the present invention clearer, the technical solutions in the present invention will be clearly and completely described below with reference to the accompanying drawings in the present invention. Apparently, the described embodiments are some but not all of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments in the present invention without making creative efforts shall fall within the protection scope of the present invention.

[0025] Figure 1 It is one of the schematic flowcharts of the method for predicting the evolution of the underwater formation scouring depth provided by the present invention. As Figure 1 shown, the method includes Step 110, Step 120 and Step 130.

[0026] Step 110: Divide the rock base surface of the underground rock formation into grids, and determine the scouring coefficient corresponding to each grid based on the longitudinal wave velocity corresponding to each grid; Step 120: Determine the predicted scouring depth based on the unit-width discharge, the water level difference between the upstream and downstream, and the scouring coefficient corresponding to each grid; Step 130: Determine the scouring coefficient correction amount based on the observed scouring depth and the predicted scouring depth, and determine the target predicted scouring depth based on the scouring coefficient correction amount and the scouring coefficient corresponding to each grid.

[0027] Specifically, the rock base surface of the underground rock formation can be divided into grids, and the scouring coefficient corresponding to each grid can be determined based on the longitudinal wave velocity corresponding to each grid. For example, three-dimensional seismic survey lines can be arranged in the riverbed bedrock area, and the longitudinal wave velocity corresponding to each grid of the underground rock formation can be obtained through seismic refraction method .

[0028] In the embodiments of the present invention, different quality bedrocks are classified into difficult to scour (0.6 < < 0.9), scourable (0.9 < < 1.2), relatively easy to scour (1.2 < < 1.6) and easy to scour (1.6 < k < 2.0), where is the scouring coefficient. A large number of rock physics experiments have proved that the P-wave velocity (longitudinal wave velocity) of the rock is closely related to its integrity. Therefore, establish the relationship between and Among them, represents the scouring coefficient corresponding to each grid, represents the longitudinal wave velocity corresponding to each grid, is a constant.

[0029] Figure 2 is a schematic diagram of the rock base scouring coefficient calculated based on the longitudinal wave velocity provided by the present invention. As Figure 2 shown, the dark purple part indicates difficult to scour (0.6 < < 0.9), the green part indicates scourable (0.9 < < 1.2), the yellow part indicates relatively easy to scour (1.2 < < 1.6), and the red part indicates easy to scour (1.6 < k < 2.0).

[0030] It can be seen from the above formula that the greater the P-wave velocity of the rock, the stronger the integrity and the stronger the scouring resistance, and vice versa.

[0031] Among them, is a constant, and its value range is .

[0032] After determining the scouring coefficient corresponding to each grid, the predicted scouring depth can be determined based on the discharge per unit width, the water level difference between upstream and downstream, and the scouring coefficient corresponding to each grid. The formula for the predicted scouring depth is as follows: Among them, represents the predicted scouring depth, represents the scouring coefficient corresponding to each grid, q represents the discharge per unit width, with the unit of m 3 / (s·m), H represents the water level difference between upstream and downstream, with the unit of m.

[0033] Figure 3 is a schematic diagram of the rock base scouring depth calculated based on the scouring resistance coefficient provided by the present invention. As Figure 3 shown, the value range of the scouring depth is (-24, 4).

[0034] After obtaining the predicted scouring depth, the scouring coefficient correction amount can be determined based on the observed scouring depth and the predicted scouring depth, and the target predicted scouring depth can be determined based on the scouring coefficient correction amount and the scouring coefficient corresponding to each grid.

[0035] Here, the observed scouring depth can be obtained by detecting the scouring depth after flood discharge based on the multi-beam detection method, and the embodiments of the present invention do not make specific limitations on this.

[0036] Here, to determine the target predicted scouring depth based on the scouring coefficient correction amount and the scouring coefficient corresponding to each grid, the discharge per unit width and the water level difference between upstream and downstream can also be combined.

[0037] It should be noted that the correction amount of the scour coefficient can be determined based on the difference between the scour depths observed multiple times and the predicted scour depth, so as to more accurately correct the difference between the theoretical predicted value and the observed value of the scour depth, and further improve the accuracy and reliability of the predicted scour depth of subsequent targets.

[0038] The method provided by the embodiment of the present invention divides the rock base surface of the underground rock formation into grids, determines the scour coefficient corresponding to each grid based on the longitudinal wave velocity corresponding to each grid, then determines the predicted scour depth based on the unit-width discharge, the water level difference between the upstream and downstream, and the scour coefficient corresponding to each grid. Finally, based on the observed scour depth and the predicted scour depth, the correction amount of the scour coefficient is determined, and the target predicted scour depth is determined based on the correction amount of the scour coefficient and the scour coefficient corresponding to each grid. On the one hand, aiming at the problem that it is difficult to accurately estimate the scour coefficient (k value), the method uses the seismic refraction exploration method to obtain the longitudinal wave velocity corresponding to each grid in the rock behind the dam, that is, the three-dimensional distribution of the longitudinal wave velocity, and determines the scour coefficient corresponding to each grid based on the longitudinal wave velocity corresponding to each grid, so as to obtain a scour coefficient that more conforms to the actual geological situation; on the other hand, by combining the theoretical prediction method and the in-situ observation method of the scour depth, the difference between the theoretical predicted value and the measured value of the scour depth is used to correct the scour coefficient, further improving the accuracy of the predicted result of the next scour depth.

[0039] Based on the above embodiment, step 110 of dividing the rock base surface of the underground rock formation into grids and determining the scour coefficient corresponding to each grid based on the longitudinal wave velocity corresponding to each grid includes: Step 111, divide the rock base surface of the underground rock formation into grids, and average the multi-point longitudinal wave velocities corresponding to the longitudinal sections of each grid to obtain the scour coefficient corresponding to each grid.

[0040] Specifically, the rock base surface of the underground rock formation can be divided into grids, and the multi-point longitudinal wave velocities corresponding to the longitudinal sections of each grid are averaged to obtain the scour coefficient corresponding to each grid. The formula is as follows: Among them, the rock base surface of the underground rock formation is divided into X Y points, and the scour coefficient (k value) of each point on the riverbed rock base surface is calculated. represents the coordinates in the X and Y directions. 、 and represent different depths.

[0041] Here, in geology, a longitudinal section refers to a sectional view parallel to the general strike of rock strata (or tectonic lines). When dividing the rock base surface of underground rock strata into grids, the longitudinal section is used to display the structural characteristics of the rock strata in the vertical direction and the distribution of multi-point longitudinal wave velocities at different depths. Such a section can better reflect the longitudinal changes of the rock strata and help study the geological structural characteristics and the distribution law of seismic wave velocities.

[0042] The method provided by the embodiments of the present invention divides the rock base surface of underground rock strata into grids and performs averaging processing on the multi-point longitudinal wave velocities corresponding to the longitudinal sections of each grid to obtain the scour coefficient corresponding to each grid, thereby solving the technical defect in the prior art that the rock scouring resistance k value is related to the occurrence of rocks, the situation of fracture structures, the degree of joint development, etc., and it is difficult to establish an actual k value theoretical formula purely from a physical concept. The k value set based on the properties of the apparent outcrop rocks cannot comprehensively reflect the scouring resistance of the rocks in the strata underlying the riverbed, and improves the accuracy and reliability of the determination of the scour coefficient.

[0043] Based on the above embodiments, determining the scour coefficient correction amount based on the observed scour depth and the predicted scour depth in step 130 includes: Step 131, determining the scour coefficient correction amount based on the observed scour depth, the predicted scour depth, the unit-width discharge, and the upstream and downstream water level differences.

[0044] Specifically, the scour coefficient correction amount is determined based on the following formula: where, represents the scour coefficient correction amount, represents the observed scour depth, represents the predicted scour depth, represents the unit-width discharge, represents the upstream and downstream water level differences.

[0045] Based on the above embodiments, determining the target predicted scour depth based on the scour coefficient correction amount and the scour coefficient corresponding to each grid in step 130 includes: Step 210, determining the next predicted scour depth based on the current scour coefficient correction amount, the scour coefficient corresponding to each grid, the unit-width discharge, and the upstream and downstream water level differences; Step 220, determining the next scour coefficient correction amount based on the next observed scour depth and the next predicted scour depth; Step 230: Take the next scour coefficient correction amount as the current scour coefficient correction amount, and perform the step of determining the next predicted scour depth based on the current scour coefficient correction amount, the scour coefficients corresponding to the respective grids, the unit-width discharge, and the upstream and downstream water level differences, until the current scour coefficient correction amount is less than a preset threshold, and take the last determined next predicted scour depth as the target predicted scour depth.

[0046] Specifically, first, determine the next predicted scour depth based on the current scour coefficient correction amount, the scour coefficients corresponding to the respective grids, the unit-width discharge, and the upstream and downstream water level differences. The formula is as follows: Where, represents the next predicted scour depth, represents the scour coefficients corresponding to the respective grids, represents the current scour coefficient correction amount, represents the unit-width discharge, represents the upstream and downstream water level differences.

[0047] It should be noted that when predicting the scour depth for the first time, the current scour coefficient correction amount is 0. Therefore, the above formula can be expressed as: Where, represents the scour coefficients corresponding to the respective grids, represents the unit-width discharge, represents the upstream and downstream water level differences.

[0048] Here, the scour coefficients corresponding to the respective grids are parameters related to factors such as the hardness and softness of the bedrock and the structural integrity.

[0049] After obtaining the next predicted scour depth, the next scour coefficient correction amount can be determined based on the next observed scour depth and the next predicted scour depth. The formula is as follows: Where, represents the next scour coefficient correction amount, represents the next observed scour depth, represents the next predicted scour depth.

[0050] Finally, take the next scour coefficient correction amount as the current scour coefficient correction amount, and perform the step of determining the next predicted scour depth based on the current scour coefficient correction amount, the scour coefficients corresponding to each grid, the unit-width discharge, and the upstream and downstream water level differences, until the current scour coefficient correction amount is less than the preset threshold, and take the last determined next predicted scour depth as the target predicted scour depth. The target predicted scour depth is the finally determined predicted scour depth.

[0051] Among them, the corrected scour coefficient k 修正 = k + 。

[0052] The method provided by the embodiment of the present invention determines the next predicted scour depth based on the current scour coefficient correction amount, the scour coefficients corresponding to each grid, the unit-width discharge, and the upstream and downstream water level differences, then determines the next scour coefficient correction amount based on the next observed scour depth and the next predicted scour depth. Finally, take the next scour coefficient correction amount as the current scour coefficient correction amount, and perform the step of determining the next predicted scour depth based on the current scour coefficient correction amount, the scour coefficients corresponding to each grid, the unit-width discharge, and the upstream and downstream water level differences, until the current scour coefficient correction amount is less than the preset threshold, and take the last determined next predicted scour depth as the target predicted scour depth. By gradually correcting the scour coefficient, the model can more accurately fit the observed scour depth, reduce errors, and moreover, the loop correction of the scour coefficient can dynamically adjust the parameters to avoid deviations caused by inaccurate initial values of the scour coefficient.

[0053] Based on any of the above embodiments, Figure 4 is the second flow chart of the method for predicting the evolution of the underwater formation scour depth provided by the present invention. As Figure 4 shown, the method includes: First, obtain the formation longitudinal wave velocity by seismic refraction method, and then establish the relationship between the rock longitudinal wave velocity and the scour coefficient. Divide the rock base surface of the underground rock formation into grids, and determine the scour coefficients corresponding to each grid based on the longitudinal wave velocities corresponding to each grid, that is, calculate the average k value of each grid.

[0054] Then, estimate the predicted scour depth, and use multi-beam to detect the scour depth after flood discharge. According to the difference between the theoretical predicted value and the observed value, correct the k value, so as to improve the prediction accuracy of the scour depth after the next flood discharge.

[0055] Finally, after multiple corrections, reduce the difference between the theoretical prediction and the observed value to obtain an accurate scour depth prediction model.

[0056] The underwater stratum scouring depth evolution prediction device provided by the present invention will be described below. The underwater stratum scouring depth evolution prediction device described below can be correspondingly referred to the underwater stratum scouring depth evolution prediction method described above.

[0057] Based on any of the above embodiments, the present invention provides an underwater stratum scouring depth evolution prediction device. Figure 5 It is a schematic structural diagram of the underwater stratum scouring depth evolution prediction device provided by the present invention. As Figure 5 shown, the device includes: A scouring coefficient determination unit 510, configured to divide a grid on the rock base surface of the underground rock formation, and determine the scouring coefficient corresponding to each grid based on the longitudinal wave velocity corresponding to each grid; A predicted scouring depth determination unit 520, configured to determine a predicted scouring depth based on the unit discharge per unit width, the water level difference between upstream and downstream, and the scouring coefficient corresponding to each grid; A target predicted scouring depth determination unit 530, configured to determine a scouring coefficient correction amount based on the observed scouring depth and the predicted scouring depth, and determine a target predicted scouring depth based on the scouring coefficient correction amount and the scouring coefficient corresponding to each grid.

[0058] The device provided by the embodiment of the present invention divides a grid on the rock base surface of the underground rock formation, determines the scouring coefficient corresponding to each grid based on the longitudinal wave velocity corresponding to each grid, then determines the predicted scouring depth based on the unit discharge per unit width, the water level difference between upstream and downstream, and the scouring coefficient corresponding to each grid. Finally, based on the observed scouring depth and the predicted scouring depth, a scouring coefficient correction amount is determined, and a target predicted scouring depth is determined based on the scouring coefficient correction amount and the scouring coefficient corresponding to each grid. On the one hand, aiming at the problem that it is difficult to accurately estimate the scouring coefficient (k value), the seismic refraction exploration method is used to obtain the longitudinal wave velocity corresponding to each grid in the rock behind the dam, that is, the three-dimensional distribution of the longitudinal wave velocity, and the scouring coefficient corresponding to each grid is determined based on the longitudinal wave velocity corresponding to each grid, so as to obtain a scouring coefficient that more conforms to the actual geological situation; on the other hand, combining the theoretical prediction method and in-situ observation method of the scouring depth, the scouring coefficient is corrected by using the difference between the theoretical predicted value and the measured value of the scouring depth, and the accuracy of the next scouring depth prediction result is further improved.

[0059] Based on any of the above embodiments, the scouring coefficient determination unit 510 is specifically configured to: Divide a grid on the rock base surface of the underground rock formation, and average the multi-point longitudinal wave velocities corresponding to the longitudinal profiles of each grid to obtain the scouring coefficient corresponding to each grid.

[0060] Based on any of the above embodiments, the target predicted scouring depth determination unit 530 specifically includes: A correction unit is configured to determine a correction amount of the scour coefficient based on the observed scour depth, the predicted scour depth, the unit discharge, and the upstream and downstream water level difference.

[0061] Based on any of the above embodiments, the correction unit is specifically configured to: Determine the correction amount of the scour coefficient based on the following formula: Wherein, represents the correction amount of the scour coefficient, represents the observed scour depth, represents the predicted scour depth, represents the unit discharge, represents the upstream and downstream water level difference.

[0062] Based on any of the above embodiments, the unit 530 for determining the target predicted scour depth specifically includes: A first determination unit is configured to determine a next predicted scour depth based on the current correction amount of the scour coefficient, the scour coefficients corresponding to the respective grids, the unit discharge, and the upstream and downstream water level difference; A second determination unit is configured to determine a next correction amount of the scour coefficient based on the next observed scour depth and the next predicted scour depth; A third determination unit is configured to use the next correction amount of the scour coefficient as the current correction amount of the scour coefficient, and perform the step of determining a next predicted scour depth based on the current correction amount of the scour coefficient, the scour coefficients corresponding to the respective grids, the unit discharge, and the upstream and downstream water level difference, until the current correction amount of the scour coefficient is less than a preset threshold, and use the last determined next predicted scour depth as the target predicted scour depth.

[0063] Based on any of the above embodiments, the third determination unit is specifically configured to: Determine the next predicted scour depth based on the following formula: Wherein, represents the next predicted scour depth, represents the scour coefficients corresponding to the respective grids, represents the current correction amount of the scour coefficient, represents the unit discharge, represents the upstream and downstream water level difference.

[0064] Figure 6 is a schematic structural diagram of the electronic device provided by the present invention, as shown in Figure 6As shown, the electronic device may include: a processor 610, a communications interface 620, a memory 630, and a communication bus 640. Among them, the processor 610, the communications interface 620, and the memory 630 complete mutual communication through the communication bus 640. The processor 610 may call the logical instructions in the memory 630 to execute the method for predicting the evolution of the underwater formation scouring depth. The method includes: dividing the rock base surface of the underground rock formation into grids, and determining the scouring coefficient corresponding to each grid based on the longitudinal wave velocity corresponding to each grid; determining the predicted scouring depth based on the unit-width discharge, the water level difference between upstream and downstream, and the scouring coefficient corresponding to each grid; determining the scouring coefficient correction amount based on the observed scouring depth and the predicted scouring depth, and determining the target predicted scouring depth based on the scouring coefficient correction amount and the scouring coefficient corresponding to each grid.

[0065] In addition, when the logical instructions in the above-mentioned memory 630 are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or a part of this technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The foregoing storage medium includes: various media such as USB flash drives, mobile hard disks, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), magnetic disks, or optical discs that can store program codes.

[0066] On the other hand, the present invention also provides a computer program product. The computer program product includes a computer program. The computer program can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the method for predicting the evolution of the underwater formation scouring depth provided by the above-mentioned various methods. The method includes: dividing the rock base surface of the underground rock formation into grids, and determining the scouring coefficient corresponding to each grid based on the longitudinal wave velocity corresponding to each grid; determining the predicted scouring depth based on the unit-width discharge, the water level difference between upstream and downstream, and the scouring coefficient corresponding to each grid; determining the scouring coefficient correction amount based on the observed scouring depth and the predicted scouring depth, and determining the target predicted scouring depth based on the scouring coefficient correction amount and the scouring coefficient corresponding to each grid.

[0067] In another aspect, the present invention also provides a non-transitory computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, it implements the underwater formation scouring depth evolution prediction method provided by the above-mentioned various methods. The method includes: dividing a grid on the rock base surface of an underground rock formation, and determining the scouring coefficient corresponding to each grid based on the longitudinal wave velocity corresponding to each grid; determining the predicted scouring depth based on the unit discharge, the water level difference between the upstream and downstream, and the scouring coefficient corresponding to each grid; determining the scouring coefficient correction amount based on the observed scouring depth and the predicted scouring depth, and determining the target predicted scouring depth based on the scouring coefficient correction amount and the scouring coefficient corresponding to each grid.

[0068] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place, or may be distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment. A person of ordinary skill in the art can understand and implement it without creative effort.

[0069] Through the description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on such an understanding, the above technical solution, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. The computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disc, etc., and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0070] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments, or equivalently replace some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of each embodiment of the present invention.

Claims

1. A method for predicting the evolution of underwater stratum scour depth, characterized in that: include: Dividing the rock base surface of the underground rock layer into grids, and determining the scour coefficient corresponding to each grid based on the longitudinal wave velocity corresponding to each grid; Determine the predicted scour depth based on the single-width flow, the upstream and downstream water level difference, and the scour coefficient corresponding to each grid; Based on the observed scour depth and the predicted scour depth, a scour coefficient correction amount is determined, and based on the scour coefficient correction amount and the scour coefficients corresponding to each grid, a target predicted scour depth is determined.

2. The underwater formation scour depth evolution prediction method according to claim 1 is characterized in that: The step of dividing the rock base surface of the underground rock formation into grids and determining the scour coefficient corresponding to each grid based on the longitudinal wave velocity corresponding to each grid includes: The rock foundation surface of the underground rock layer is divided into grids, and the multi-point longitudinal wave velocities corresponding to the longitudinal sections of each grid are averaged to obtain the scour coefficient corresponding to each grid.

3. The underwater formation scour depth evolution prediction method according to claim 1, characterized in that: The determining of the scour coefficient correction amount based on the observed scour depth and the predicted scour depth includes: The scour coefficient correction amount is determined based on the observed scour depth, the predicted scour depth, the single-width flow, and the upstream and downstream water level difference.

4. The underwater formation scour depth evolution prediction method according to claim 3 is characterized in that: The method of determining the scour coefficient correction amount based on the observed scour depth, the predicted scour depth, the unit width flow, and the upstream and downstream water level difference includes: The washout coefficient correction amount is determined based on the following formula: in, represents the correction value of the washout coefficient, represents the observed scour depth, represents the predicted scour depth, Indicates single-width traffic. Indicates the difference in water level between upstream and downstream.

5. The method for predicting the evolution of underwater stratum scour depth according to any one of claims 1 to 4, characterized in that: The step of determining a target predicted scour depth based on the scour coefficient correction amount and the scour coefficient corresponding to each grid comprises: Determine the next predicted scour depth based on the current scour coefficient correction amount, the scour coefficient corresponding to each grid, the single-width flow, and the upstream and downstream water level difference; Determining a next scour coefficient correction amount based on a next observed scour depth and the next predicted scour depth; The next scour coefficient correction is used as the current scour coefficient correction, and the step of determining the next predicted scour depth is performed based on the current scour coefficient correction, the scour coefficient corresponding to each grid, the single width flow, and the upstream and downstream water level difference, until the current scour coefficient correction is less than a preset threshold, and the last determined next predicted scour depth is used as the target predicted scour depth.

6. The underwater formation scour depth evolution prediction method according to claim 5 is characterized in that: The determining of the next predicted scour depth based on the current scour coefficient correction amount, the scour coefficient corresponding to each grid, the single-width flow, and the upstream and downstream water level difference includes: The next predicted scour depth is determined based on the following formula: in, Indicates the next predicted scour depth, represents the scour coefficient corresponding to each grid, Indicates the current scour coefficient correction value, Indicates single-width traffic. Indicates the difference in water level between upstream and downstream.

7. An underwater formation scour depth evolution prediction device, characterized in that: include: A scour coefficient determination unit is used to divide the rock base surface of the underground rock layer into grids, and determine the scour coefficient corresponding to each grid based on the longitudinal wave velocity corresponding to each grid; Determine a predicted scour depth unit, which is used to determine the predicted scour depth based on the unit width flow, the upstream and downstream water level difference, and the scour coefficient corresponding to each grid; The target predicted scour depth determination unit is used to determine the scour coefficient correction amount based on the observed scour depth and the predicted scour depth, and determine the target predicted scour depth based on the scour coefficient correction amount and the scour coefficients corresponding to each grid.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that: When the processor executes the computer program, the method for predicting the evolution of underwater formation scour depth as described in any one of claims 1 to 6 is implemented.

9. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method for predicting the evolution of underwater formation scour depth as claimed in any one of claims 1 to 6 is implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the method for predicting the evolution of underwater formation scour depth as claimed in any one of claims 1 to 6 is implemented.

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