Observation system layout method, device, equipment, medium and product

Abstract

The application provides an observation system layout method, device, equipment, medium and product, and belongs to the technical field of geophysical exploration. The technical scheme provided by the embodiment of the application removes the non-collection area in advance in the work area collection range, so that the work area collection range is more accurate. Under the constraint of the work area collection range, the excitation points and the receiving points in the work area collection range are selected by using random numbers, so that the influence of the absence of the non-collection area on the uniformity of the excitation points and the receiving points is reduced. The observation system obtained based on the excitation points and the receiving points has good uniformity and good layout quality, the observation result is relatively accurate, and the difficulty of field physical point layout is greatly reduced.

Description

Technical Field

[0001] This application relates to the field of geophysical exploration technology, and in particular to a method, apparatus, equipment, medium and product for deploying an observation system. Background Technology

[0002] In the process of geophysical exploration, it is necessary to deploy nodal equipment in the exploration area for excitation, reflection and reception of waves in order to obtain seismic data. The spatial relative position of the excitation point and the receiving array constitutes the observation system. In order to obtain complete seismic data for a region, excitation and receiving equipment can be deployed at the designed excitation point and receiving array positions respectively to form a regular observation system.

[0003] However, as seismic exploration deepens, the conditions for seismic acquisition construction become increasingly complex. Some areas within the work zone are not suitable for setting up acquisition nodes. Therefore, based on the theoretically designed regular observation system, it is necessary to delete the acquisition nodes corresponding to the areas where acquisition nodes cannot be set up, and collect data from the remaining areas to form an irregular observation system.

[0004] However, the design of the aforementioned irregular observation system results in uneven distribution of acquisition nodes in the remaining area, especially near the deleted area, leading to poor deployment quality of the observation system and inaccurate observation results. Summary of the Invention

[0005] This application provides a method, apparatus, equipment, medium, and product for deploying an observation system. It can reduce the impact of missing data collection areas on the uniformity of excitation and receiving points. The observation system deployed based on these excitation and receiving points exhibits good uniformity and deployment quality, resulting in more accurate observation results and significantly reducing the difficulty of deploying physical points in the field. The technical solution is as follows:

[0006] On the one hand, a method for deploying an observation system is provided, which includes:

[0007] Within the work area, remove the areas that are not collected to obtain the work area collection range;

[0008] Based on the data collection range and preset step size of the work area, the work area grid is obtained, which includes multiple nodes evenly arranged in a grid pattern;

[0009] A preset number of excitation points are randomly selected from multiple nodes in the grid of the work area;

[0010] In the work area after removing the excitation point, a preset number of receiving points are randomly selected from multiple nodes of the grid within the acquisition range.

[0011] For any firing point, based on a preset shot-receiver distance threshold, establish the association between the firing point and the receiving point to generate firing-receiver relationship pairs;

[0012] For all excitation-reception pairs within the acquisition range of the work area, obtain the azimuth, distance, and midpoint of the excitation-reception pairs, and generate a list of excitation-reception pairs;

[0013] For excitation-reception pairs whose midpoints fall within the same grid, sort them by the distance in each direction to obtain the number of excitation-reception pairs in any grid and the uniformity of distance in each direction.

[0014] Based on the receiving relationship pairs of all excitation points within the acquisition range of this work area, the coverage count of each grid is obtained;

[0015] For a grid that is simultaneously below the distance uniformity threshold and the preset coverage number threshold for each azimuth, among multiple nodes of the grid within the work area's data collection range after removing the excitation point and receiver point, the excitation point or receiver point is randomly selected and densified until the distance uniformity and coverage number for each azimuth of the excitation-receiver pair within the grid are not simultaneously below the threshold.

[0016] The physical points corresponding to the excitation point and the receiving point are deployed in the work area to form an observation system.

[0017] In one possible implementation, the data collection area of ​​the work zone includes: starting point coordinates, length, and width.

[0018] In one possible implementation, a preset number of excitation points are randomly selected from multiple nodes of the work area grid, including:

[0019] Random numbers i and j in the range (1, Nx) and (1, Ny) are generated using the Mason tween method. The probability density function of the excitation point determined by (i, j) is shown in Equation 1:

[0020]

[0021] Where f(x,y) is the probability density function of the excitation point determined by (i,j);

[0022] Nx is the total number of rows in the work area grid, and Hs is the corresponding total grid length;

[0023] Ny is the total number of columns in the work area grid, and Ws is the corresponding total grid width;

[0024] The node determined by (i,j) is the location of the randomly generated excitation point;

[0025] D represents the work area.

[0026] In one possible implementation, for any firing point, based on a preset shot-receiver distance threshold, an association is established between the firing point and the receiving point to generate a firing-receiver relationship pair, including:

[0027] For each excitation point, traverse the receiving points within the collection range of the work area, and associate each receiving point whose distance from the excitation point is less than the preset shot-receiver distance threshold with the excitation point to form an excitation-receiver relationship pair. The excitation-receiver relationship pair is represented by the following relationship 2.

[0028] distance(s m ,r n )≤SR max Relation 2

[0029] Among them, s m As the excitation point;

[0030] r n For receiving points;

[0031] distance represents the distance between two points;

[0032] SR max The preset shot-receiver distance threshold;

[0033] The value of m ranges from (1, Ns);

[0034] The range of n is (1, Nr).

[0035] In one possible implementation, the excitation-reception pairs whose midpoints fall within the same grid are sorted by their azimuth distances to obtain the number of excitation-reception pairs within any grid and the distance uniformity in each azimuth, including:

[0036] Using the following equation 4, the number of excitation-reception pairs within any grid and the distance uniformity in each orientation are obtained:

[0037]

[0038] Uniform α,i,j It represents the uniformity of the azimuth angle interval α within any grid.

[0039] ΔX k,α This represents the distance difference between two adjacent excitation-receiver pairs after sorting by azimuth angle;

[0040] This represents the average spacing difference between the excitation and reception pairs after azimuth division;

[0041] K α This indicates the number of excitation-reception pairs within the azimuth angle α interval;

[0042] K α -1 indicates the number of excitation-reception relationship pairs within the azimuth angle α interval.

[0043] In one possible implementation, the coverage count for each grid is obtained based on the receiving relationship pairs of all excitation points within the acquisition range of the work area, including:

[0044] Based on the following relation 5, obtain the coverage count for each grid:

[0045] Fold i，j =COUNTIF(x(s) m r n ), Mid(s m r n )∈Rect i，j Relation 5

[0046] In the formula, Fold i,j Indicates the number of times the grid is covered;

[0047] x(s m ,r n ) indicates that the excitation point s m and receiving point r n The excitation-reception relationship is formed;

[0048] Mid(s m ,r n ) represents x(s m ,r n The midpoint of )

[0049] Rect i,j Indicates the grid size.

[0050] On the one hand, an observation system deployment device is provided, the device comprising:

[0051] The range acquisition module is used to remove non-collected areas within the work area to obtain the work area collection range;

[0052] The node acquisition module is used to acquire the work area grid based on the collection range and preset step size of the work area. The work area grid includes multiple nodes that are evenly arranged in a grid pattern.

[0053] The excitation point acquisition module is used to randomly select a preset number of excitation points from multiple nodes in the grid of the work area;

[0054] The receiving point acquisition module is used to randomly select a preset number of receiving points from multiple nodes of the grid within the work area acquisition range after removing the excitation point.

[0055] The relationship acquisition module is used to establish the association between any excitation point and the receiving point based on a preset shot-receiver distance threshold, and generate an excitation-receiver relationship pair.

[0056] The list acquisition module is used to acquire the azimuth, distance and midpoint of all excitation-reception relationship pairs within the acquisition range of the work area, and generate a list of excitation-reception relationship pairs.

[0057] The uniformity acquisition module is used to sort the excitation-reception pairs whose midpoints fall within the same grid according to the distance in each direction, and obtain the number of excitation-reception pairs in any grid and the distance uniformity in each direction.

[0058] The coverage count acquisition module is used to obtain the coverage count of each grid based on the receiving relationship pairs of all excitation points within the acquisition range of the work area;

[0059] The encryption module is used to encrypt the excitation point or the receiver point in a random manner among multiple nodes of the grid within the work area after removing the excitation point and the receiver point for a grid that is simultaneously lower than the distance uniformity threshold and the preset coverage number threshold for each azimuth. This process continues until the distance uniformity and the coverage number of each azimuth of the excitation-reception relationship pair within the grid are not simultaneously lower than the threshold.

[0060] The deployment module is used to deploy the physical points corresponding to the excitation point and the receiving point within the work area to form an observation system.

[0061] In one possible design, the excitation point acquisition module is used for:

[0062] Random numbers i and j in the range (1, Nx) and (1, Ny) are generated using the Mason tween method. The probability density function of the excitation point determined by (i, j) is shown in Equation 1:

[0063]

[0064] Where f(x,y) is the probability density function of the excitation point determined by (i,j);

[0065] Nx is the total number of rows in the work area grid, and Hs is the corresponding total grid length;

[0066] Ny is the total number of columns in the work area grid, and Ws is the corresponding total grid width;

[0067] The node determined by (i,j) is the location of the randomly generated excitation point;

[0068] D represents the work area.

[0069] On the one hand, an electronic device is provided, comprising:

[0070] One or more processors;

[0071] One or more memories used to store one or more processor-executable instructions;

[0072] The one or more processors are configured to execute the instructions to implement the observation system deployment method provided in any of the possible implementations described above.

[0073] On the one hand, a storage medium is provided that, when the instructions in the storage medium are executed by the processor of an electronic device, enables the electronic device to execute the observation system deployment method provided in any of the above possible implementations.

[0074] On the one hand, a computer program product is provided, including computer instructions that, when executed by a processor, implement the observation system deployment method provided in any of the possible implementations described above.

[0075] The technical solution provided in this application improves the accuracy of the work area collection range by pre-removing non-collected areas within the collection range. Under the constraint of the work area collection range, the excitation and receiving points within the collection range are selected by using random numbers, which reduces the impact of missing non-collected areas on the uniformity of excitation and receiving points. The observation system based on these excitation and receiving points has good uniformity and good layout quality, and the observation results are relatively accurate. It also greatly reduces the difficulty of setting up physical points in the field. Attached Figure Description

[0076] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0077] Figure 1 This is a schematic diagram of a conventional observation system;

[0078] Figure 2 This is a flowchart of an observation system deployment method provided in an embodiment of this application;

[0079] Figure 3 This is a flowchart of an observation system deployment method provided in an embodiment of this application;

[0080] Figure 4 This is a schematic diagram of a work area provided in an embodiment of this application;

[0081] Figure 5This is a schematic diagram of the deployment and distribution of an observation system provided in an embodiment of this application;

[0082] Figure 6 This is a local homogeneity planar diagram of an observation system provided in an embodiment of this application;

[0083] Figure 7 This is a schematic diagram of the structure of an observation system deployment device provided in an embodiment of this application;

[0084] Figure 8 This is a schematic diagram of the structure of a computer device provided in an embodiment of this application. Detailed Implementation

[0085] To make the objectives, technical solutions, and advantages of this application clearer, the embodiments of this application will be described in further detail below with reference to the accompanying drawings.

[0086] In this application, unless otherwise expressly specified and limited, terms such as "installation," "connection," "linking," and "fixing" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection between two components. Those skilled in the art can understand the specific meaning of the above terms in this application according to the specific circumstances.

[0087] Figure 1 Please refer to the schematic diagram of a conventional observation system. Figure 1 This conventional observation system has a work area scope and non-collection areas. Figure 1 In the diagram, black dots represent excitation points, white squares represent receiving points, and diagonally filled areas represent obstacles, i.e., areas where data is not collected.

[0088] The following section uses the 4S24L100T conventional observation system as an example to introduce the specific design of a conventional observation system:

[0089] In the same column, the distance between adjacent excitation points is 30m, and the distance between adjacent rows of excitation points is 300m.

[0090] In the same row, the distance between adjacent receiving points is 30m, and the distance between adjacent rows of receiving points is 120m.

[0091] ① The border information for the physical point layout of the work area includes:

[0092] Starting coordinates: x0 = 32300000, y0 = 4250000

[0093] Width W s = 5000m, length H s=3000m;

[0094] ② Point spacing information: Excitation point spacing Ds = 30m, receiver point spacing Dr = 30m;

[0095] ③ Number of physical points:

[0096] The total number of nodes in the work area is Ns = 1700;

[0097] The total number of receiving points is Nr = 4175.

[0098] ④ Maximum shot-receiver distance: The distance SR between a node and its farthest receiver point. max =1500m.

[0099] It can be seen that in the design of conventional acquisition systems, shot and receiver points are first evenly set up within the work area. These shot and receiver points include shot points (excitation points) and receiver points (receiving points). Then, shot and receiver points in non-acquisition areas are removed. Finally, a certain number of shot and receiver points are added near the non-acquisition areas. This results in a large deviation between the actual observation system corresponding to the conventional acquisition and observation system and the theoretically designed scheme, and it does not have good uniformity.

[0100] Figure 2 This is a flowchart of an observation system deployment method provided in an embodiment of this application. Please refer to [link / reference]. Figure 2 This method can be applied to computer devices, and the method includes:

[0101] 201. Within the work area, remove the areas that are not collected to obtain the work area collection range.

[0102] 202. Based on the collection range and preset step size of the work area, obtain the work area grid, which includes multiple nodes evenly arranged in a grid pattern.

[0103] 203. Randomly select a preset number of excitation points from multiple nodes in the grid of the work area.

[0104] 204. Randomly select a preset number of receiving points from multiple nodes in the grid within the work area acquisition range after removing the excitation point.

[0105] 205. For any excitation point, establish the association between the excitation point and the receiving point according to the preset shot-receiver distance threshold, and generate an excitation-receiver relationship pair.

[0106] 206. For all excitation-reception pairs within the acquisition range of the work area, obtain the azimuth, distance, and midpoint of the excitation-reception pairs, and generate a list of excitation-reception pairs.

[0107] 207. Sort the excitation-reception pairs whose midpoints fall within the same grid according to the distance between them in each direction, and obtain the number of excitation-reception pairs in any grid and the uniformity of distance in each direction.

[0108] 208. Based on the receiving relationship pairs of all excitation points within the acquisition range of this work area, obtain the coverage count of each grid.

[0109] 209. For a grid that is simultaneously below the distance uniformity threshold and the preset coverage number threshold for each azimuth, among multiple nodes of the grid within the work area after removing the excitation point and the receiver point, the excitation point or receiver point is randomly selected and densified until the distance uniformity and coverage number for each azimuth of the excitation-receiver pair within the grid are not simultaneously below the threshold.

[0110] 210. Deploy the physical points corresponding to the excitation point and the receiving point within the work area to form an observation system.

[0111] In one possible implementation, the data collection area of ​​the work zone includes: starting point coordinates, length, and width.

[0112] In one possible implementation, a preset number of excitation points are randomly selected from multiple nodes of the work area grid, including:

[0113] Random numbers i and j in the range (1, Nx) and (1, Ny) are generated using the Mason tween method. The probability density function of the excitation point determined by (i, j) is shown in Equation 1:

[0114]

[0115] Where f(x,y) is the probability density function of the excitation point determined by (i,j);

[0116] Nx is the total number of rows in the work area grid, and Hs is the corresponding total grid length;

[0117] Ny is the total number of columns in the work area grid, and Ws is the corresponding total grid width;

[0118] The node determined by (i,j) is the location of the randomly generated excitation point;

[0119] D represents the work area.

[0120] In one possible implementation, for any firing point, based on a preset shot-receiver distance threshold, an association is established between the firing point and the receiving point to generate a firing-receiver relationship pair, including:

[0121] For each excitation point, traverse the receiving points within the collection range of the work area, and associate each receiving point whose distance from the excitation point is less than the preset shot-receiver distance threshold with the excitation point to form an excitation-receiver relationship pair. The excitation-receiver relationship pair is represented by the following relationship 2.

[0122] distance(s m ,r n )≤SR max Relation 2

[0123] Among them, s m As the excitation point;

[0124] r n For receiving points;

[0125] distance represents the distance between two points;

[0126] SR max The preset shot-receiver distance threshold;

[0127] The value of m ranges from (1, Ns);

[0128] The range of n is (1, Nr).

[0129] In one possible implementation, the excitation-reception pairs whose midpoints fall within the same grid are sorted by their azimuth distances to obtain the number of excitation-reception pairs within any grid and the distance uniformity in each azimuth, including:

[0130] Using the following equation 4, the number of excitation-reception pairs within any grid and the distance uniformity in each orientation are obtained:

[0131]

[0132] Uniform α,i,j It represents the uniformity of the azimuth angle interval α within any grid.

[0133] ΔX k,α This represents the distance difference between two adjacent excitation-receiver pairs after sorting by azimuth angle;

[0134] This represents the average spacing difference between the excitation and reception pairs after azimuth division;

[0135] K α This indicates the number of excitation-reception pairs within the azimuth angle α interval;

[0136] K α -1 indicates the number of excitation-reception relationship pairs within the azimuth angle α interval.

[0137] In one possible implementation, the coverage count for each grid is obtained based on the receiving relationship pairs of all excitation points within the acquisition range of the work area, including:

[0138] Based on the following relation 5, obtain the coverage count for each grid:

[0139] Fold i，j =COUNTIF(x(s) m r n ), Mid(s m r n )∈Rect i，j Relation 5

[0140] In the formula, Fold i,j Indicates the number of times the grid is covered;

[0141] x(s m ,r n ) indicates that the excitation point s m and receiving point r n The excitation-reception relationship is formed;

[0142] Mid(s m ,r n ) represents x(s m ,r m The midpoint of )

[0143] Rect i,j Indicates the grid size.

[0144] The technical solution provided in this application makes the collection range of the work area more accurate by removing non-collection areas in advance within the work area. Under the constraint of the conventional work area grid, the excitation points and receiver points within the work area collection range are selected by using random numbers, which reduces the impact of the absence of non-collection areas on uniformity. The observation system based on these excitation points and receiver points has good uniformity and good layout quality, and the observation results are relatively accurate. It also greatly reduces the difficulty of setting up physical points in the field.

[0145] All of the above-mentioned optional technical solutions can be combined in any way to form the optional embodiments of this application, and will not be described in detail here.

[0146] Figure 3 This is a flowchart of an observation system deployment method provided in an embodiment of this application. Please refer to [link / reference]. Figure 3 This method can be applied to computer devices, and the method includes:

[0147] 301. Within the work area, remove the areas that are not collected to obtain the work area collection range.

[0148] Figure 4 This is a schematic diagram of a work area provided in an embodiment of this application. The work area scope in this step can be found in [reference needed]. Figure 4 In one possible implementation, the work area includes: starting point coordinates, length, and width, for example: Figure 4 The starting coordinates of the central work area are (x0, y0), and the width is W. s Length H s This constitutes the border information for the physical point layout of the work area.

[0149] In this embodiment, by pre-removing non-collected areas within the work area, the collection range of the work area is more accurately defined, and subsequent point selection steps are carried out under the constraints of a conventional work area grid.

[0150] 302. Based on the collection range and preset step size of the work area, obtain the work area grid, which includes multiple nodes evenly arranged in a grid pattern.

[0151] Please continue reading Figure 4 In this step, starting from (x0, y0) and using the grid size step as the step size, a grid covering the entire work area is formed: the total number of rows Nx is CEIL(Hs / step), and the total number of columns Ny is CEIL(Ws / step). Here, CEIL means rounding up, Hs is the horizontal dimension of the grid, and Ws is the horizontal dimension of the grid.

[0152] In this embodiment, the grid starting point is (x0, y0). For example, the grid step size is step = 15m in both the horizontal and vertical directions. The number of grids in the horizontal direction is CEIL = Hs / step = 5000 / 15 = 334, and the number of grids in the vertical direction is CEIL = Ws / step = 3000 / 15 = 200.

[0153] 303. Randomly select a preset number of excitation points from multiple nodes in the grid of the work area.

[0154] The random selection method provided in this step ensures the uniformity of the excitation points.

[0155] In one possible implementation, the step includes:

[0156] Random numbers i and j in the range (1, Nx) and (1, Ny) are generated using the Mason tween method. The probability density function of the excitation point determined by (i, j) is shown in Equation 1:

[0157]

[0158] Where f(x,y) is the probability density function of the excitation point determined by (i,j);

[0159] Nx is the total number of rows in the work area grid, and Hs is the corresponding total grid length;

[0160] Ny is the total number of columns in the work area grid, and Ws is the corresponding total grid width;

[0161] The node determined by (i,j) is the location of the randomly generated excitation point;

[0162] D represents the work area.

[0163] 304. Randomly select a preset number of receiving points from multiple nodes of the grid within the work area acquisition range after removing the excitation point.

[0164] In the grid within the receiving range after removing the excitation point, a preset number of receiving points are randomly selected in the same manner.

[0165] Based on the above calculation results, excitation and receiving points were randomly arranged within the work area boundary, and the arrangement results are as follows. Figure 5 , Figure 5 This is a schematic diagram of the deployment and distribution of an observation system provided in an embodiment of this application. Figure 5 The black dots represent excitation points, the white squares represent receiving points, and the diagonally filled areas represent obstacles, i.e., non-collection areas. There are a total of 1700 excitation points and 4175 receiving points.

[0166] 305. For any excitation point, establish the association between the excitation point and the receiving point according to the preset shot-receiver distance threshold, and generate an excitation-receiver relationship pair.

[0167] An excitation-receiver pair needs to include the following information: excitation point number, excitation point location, receiver point number, receiver point location, the location of the midpoint between the excitation and receiver points, and the grid number where the midpoint is located.

[0168] The above method can be used to obtain all excitation-reception pairs associated with the firing point, and to traverse all excitation points in the entire work area.

[0169] In one possible implementation, for any firing point, based on a preset shot-receiver distance threshold, an association is established between the firing point and the receiving point to generate a firing-receiver relationship pair, including:

[0170] For each excitation point, traverse the receiving points within the collection range of the work area, and associate each receiving point whose distance from the excitation point is less than the preset shot-receiver distance threshold with the excitation point to form an excitation-receiver relationship pair. The excitation-receiver relationship pair is represented by the following relationship 2.

[0171] distance(s m ,r n )≤SRmax Relation 2

[0172] Among them, s m As the excitation point;

[0173] r n For receiving points;

[0174] distance represents the distance between two points;

[0175] SR max The preset shot-receiver distance threshold;

[0176] The value of m ranges from (1, Ns);

[0177] The range of n is (1, Nr).

[0178] For example, the preset run-off distance threshold can be set to 1500m. By traversing each shot point, each receiving point whose distance is less than the maximum shot-receiver distance of 1500m can be associated with it to form a shot-receiver pair. According to the calculation, a total of 2,281,949 shot-receiver pairs are formed in this work area.

[0179] 306. For all excitation-reception pairs within the acquisition range of the work area, obtain the azimuth, distance, and midpoint of the excitation-reception pairs, and generate a list of excitation-reception pairs.

[0180] In this step, the list of excitation-reception pairs within the work area is represented by the following equation 3:

[0181] SRPairs={x(s m ,r n :distance(s m ,r n )≤SR max Relationship 3

[0182] Among them, SRPairs are excitation-reception pairs within the work area;

[0183] x(s m ,r n ) indicates that the excitation point s m and receiving point r n The excitation-reception relationship is formed.

[0184] 307. Sort the excitation-reception pairs whose midpoints fall within the same grid according to the distance between them in each azimuth, and obtain the number of excitation-reception pairs in any grid and the uniformity of distance in each azimuth.

[0185] In this step, the purpose of sorting is to arrange the data from different locations in order to facilitate subsequent calculations.

[0186] In one possible implementation, the step includes:

[0187] Using the following equation 4, the number of excitation-reception pairs within any grid and the distance uniformity in each orientation are obtained:

[0188]

[0189] Uniform α,i,j It represents the uniformity of the azimuth angle interval α within any grid.

[0190] ΔX k,α This represents the distance difference between two adjacent excitation-receiver pairs after sorting by azimuth angle;

[0191] This represents the average spacing difference between the excitation and reception pairs after azimuth division;

[0192] K α This indicates the number of excitation-reception pairs within the azimuth angle α interval;

[0193] K α -1 indicates the number of excitation-reception relationship pairs within the azimuth angle α interval.

[0194] Figure 6 This is a local homogeneity planar diagram of an observation system provided in an embodiment of this application, consisting of... Figure 6 It can be seen that the system has good uniformity.

[0195] 308. Based on the receiving relationship pairs of all excitation points within the acquisition range of this work area, obtain the coverage count of each grid.

[0196] The coverage count can also reflect the difference in uniformity between different grids. In one possible implementation, the coverage count for each grid is obtained based on the following equation 5, according to the receiving relationship pairs of all excitation points within the acquisition range of the work area:

[0197] Fold i，j =COUNTIF(x(s) m r n ), Mid(s m r n )∈Rect i，j Relation 5

[0198] In the formula, Fold i,j Indicates the number of times the grid is covered;

[0199] x(s m ,r n ) indicates that the excitation point s m and receiving point rn The excitation-reception relationship is formed;

[0200] Mid(s m ,r n ) represents x(s m ,r n The midpoint of )

[0201] Rect i,j Indicates the grid size.

[0202] 309. For a grid that is simultaneously below the distance uniformity threshold and the preset coverage number threshold for each azimuth, among multiple nodes of the grid within the work area's data collection range after removing the excitation point and receiver point, the excitation point or receiver point is densified in a random selection manner.

[0203] In this step, the random points can be selected in accordance with Relation 1, or other methods can be used. This embodiment does not limit this method.

[0204] 310. Obtain again the number of excitation-reception pairs in any grid, the distance uniformity of each orientation, and the number of coverages for each grid. After at least one encryption, until the distance uniformity and the number of coverages for each orientation of the excitation-reception pairs in the grid are not less than the threshold.

[0205] In this step, the method for obtaining the distance uniformity can refer to Equation 4, and the method for obtaining the number of coverages can refer to Equation 5. Other methods can also be used, and this embodiment does not limit them.

[0206] 311. Deploy the physical points corresponding to the excitation point and the receiving point within the work area to form an observation system.

[0207] The quality of the observation system deployment is evaluated by uniformity based on the location and correlation of physical points. The smaller the value, the better the observation system.

[0208] The technical solution provided in this application improves the accuracy of the work area collection range by pre-removing non-collection areas within the collection range. Under the constraint of the work area grid, the excitation and receiving points within the work area collection range are selected by using random numbers, which reduces the impact of missing non-collection areas on the uniformity of excitation and receiving points. The observation system obtained based on these excitation and receiving points has good uniformity and good layout quality, and the observation results are relatively accurate. It also greatly reduces the difficulty of setting up physical points in the field.

[0209] All of the above-mentioned optional technical solutions can be combined in any way to form the optional embodiments of this application, and will not be described in detail here.

[0210] Figure 7This is a schematic diagram of the structure of an observation system deployment device provided in an embodiment of this application. Please refer to [link / reference]. Figure 7 The device includes:

[0211] The range acquisition module 701 is used to remove non-collected areas within the work area to obtain the work area collection range;

[0212] The node acquisition module 702 is used to acquire the work area grid based on the collection range and preset step size of the work area. The work area grid includes multiple nodes that are evenly arranged in a grid pattern.

[0213] The excitation point acquisition module 703 is used to randomly select a preset number of excitation points from multiple nodes of the grid in the work area;

[0214] The receiving point acquisition module 704 is used to randomly select a preset number of receiving points from multiple nodes of the grid within the work area acquisition range after removing the excitation point.

[0215] The relationship acquisition module 705 is used to establish the association between any excitation point and the receiving point based on a preset shot-receiver distance threshold, and generate an excitation-receiver relationship pair.

[0216] The list acquisition module 706 is used to acquire the azimuth, distance and midpoint of all excitation-reception relationship pairs within the acquisition range of the work area, and generate a list of excitation-reception relationship pairs.

[0217] The uniformity acquisition module 707 is used to sort the excitation-reception relationship pairs whose midpoints fall within the same grid according to the distance in each direction, and obtain the number of excitation-reception relationship pairs in any grid and the distance uniformity in each direction.

[0218] The coverage count acquisition module 708 is used to acquire the coverage count of each grid based on the receiving relationship pairs of all excitation points within the acquisition range of the work area.

[0219] The encryption module 709 is used to encrypt the excitation point or the receiving point in a random manner among multiple nodes of the grid within the work area after removing the excitation point and the receiving point for a grid that is simultaneously lower than the distance uniformity threshold and the preset coverage number threshold for each direction, until the distance uniformity and the coverage number of each direction of the excitation-receiver relationship pair in the grid are not simultaneously lower than the threshold.

[0220] The deployment module 710 is used to deploy the physical points corresponding to the excitation point and the receiving point within the work area to form an observation system.

[0221] In one possible design, the excitation point acquisition module 703 is used for:

[0222] Random numbers i and j in the range (1, Nx) and (1, Ny) are generated using the Mason tween method. The probability density function of the excitation point determined by (i, j) is shown in Equation 1:

[0223]

[0224] Where f(x,y) is the probability density function of the excitation point determined by (i,j);

[0225] Nx is the total number of rows in the work area grid, and Hs is the corresponding total grid length;

[0226] Ny is the total number of columns in the work area grid, and Ws is the corresponding total grid width;

[0227] The node determined by (i,j) is the location of the randomly generated excitation point;

[0228] D represents the work area.

[0229] The technical solution provided in this application improves the accuracy of the work area collection range by pre-removing non-collection areas within the collection range. Under the constraint of the work area grid, the excitation and receiving points within the work area collection range are selected by using random numbers, which reduces the impact of missing non-collection areas on the uniformity of excitation and receiving points. The observation system obtained based on these excitation and receiving points has good uniformity and good layout quality, and the observation results are relatively accurate. It also greatly reduces the difficulty of setting up physical points in the field.

[0230] It should be noted that the observation system deployment device provided in the above embodiments is only illustrated by the division of the above functional modules during observation system deployment operations. In actual applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the equipment can be divided into different functional modules to complete all or part of the functions described above. In addition, the observation system deployment device and the observation system deployment method embodiments provided in the above embodiments belong to the same concept, and the specific implementation process can be found in the method embodiments, which will not be repeated here.

[0231] Figure 8This is a schematic diagram of the structure of a computer device provided in an embodiment of this application. The computer device 800 can vary significantly due to differences in configuration or performance. It may include one or more central processing units (CPUs) 801 and one or more memories 802. The memory 802 stores at least one line of program code, which is loaded and executed by the processor 801 to implement the methods provided in the various method embodiments described above. Of course, the computer device may also have wired or wireless network interfaces, a keyboard, and input / output interfaces for input and output. The computer device may also include other components for implementing device functions, which will not be elaborated upon here.

[0232] In some embodiments, the computer program involved in the present application embodiments may be deployed and executed on a computer device, or executed on multiple computer devices located in one location, or executed on multiple computer devices distributed in multiple locations and interconnected through a communication network. Multiple computer devices distributed in multiple locations and interconnected through a communication network may constitute a blockchain system.

[0233] In an exemplary embodiment, a computer-readable storage medium is also provided, such as a memory including program code that can be executed by a processor in a computer device to complete the resource acquisition method described above. For example, the computer-readable storage medium may be a read-only memory (ROM), a random access memory (RAM), a compact disc read-only memory (CD-ROM), magnetic tape, floppy disk, or optical data storage device, etc.

[0234] Those skilled in the art will understand that all or part of the steps of the above embodiments can be implemented by hardware or by a program instructing related hardware. The program can be stored in a computer-readable storage medium, such as a read-only memory, a disk, or an optical disk.

[0235] In an exemplary embodiment, a computer program product is also provided, including computer instructions that, when executed by a processor, implement the observation system deployment method provided in any of the above possible implementations.

[0236] The above are merely optional embodiments of this application and are not intended to limit this application. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the protection scope of this application.

Claims

1. An observation system emplacement method, characterized by, The method comprises: In the range of the work area, remove the non-acquisition area to obtain a work area acquisition range; Based on the work area acquisition range and a preset step length, obtain a work area grid, the work area grid comprising a plurality of nodes arranged in a grid shape; Randomly select a preset number of shots from the plurality of nodes in the work area grid; Randomly select a preset number of receivers from the plurality of nodes in the grid in the work area acquisition range after removing the shots; For any shot, establish an association between the shot and the receivers according to a preset offset threshold to generate a shot-receiver relationship pair; For all shot-receiver relationship pairs in the work area acquisition range, obtain the azimuth, offset and midpoint of the shot-receiver relationship pairs to generate a list of the shot-receiver relationship pairs; For the shot-receiver relationship pairs whose midpoints fall within the same grid, sort the shot-receiver relationship pairs according to the offset in each azimuth to obtain the number of shot-receiver relationship pairs in any grid and the offset uniformity in each azimuth; Based on all shot-receiver relationship pairs in the work area acquisition range, obtain the coverage times of each grid; For the grid that is simultaneously lower than the offset uniformity threshold in each azimuth and the preset coverage times threshold, encrypt the shots or receivers in the plurality of nodes in the grid in the work area acquisition range after removing the shots and receivers according to a random selection mode until the offset uniformity in each azimuth and the coverage times of the shot-receiver relationship pairs in the grid are simultaneously less than the threshold; Distribute the physical points corresponding to the shots and the receivers to the work area to form an observation system.

2. The method of claim 1, wherein, The method comprises: Random numbers in the range and are generated using the Mason's rotation method respectively and The probability density function of the excitation point determined by is as relation 1: Relation 1 in, It is by The probability density function of a given excitation point; Nx is the total number of rows of the work area grid, and Hs is the total length of the corresponding grid; Ny is the total number of columns of the work area grid, and Ws is the total width of the corresponding grid; By The determined node is the position of the randomly generated excitation point; Work area range.

3. The method of claim 1, wherein, The method comprises: For each shot, traverse the receivers in the work area acquisition range, associate each receiver with the shot if the distance between the receiver and the shot is less than the preset offset threshold to form a shot-receiver relationship pair, and the shot-receiver relationship pair is represented by the following relationship 2; Relation 2 wherein is the excitation point; receiving point; represents the distance between two points; ； m has a value ranging from 0 to 10; , is the total number of firing points in the acquisition range of the work area; n has a value in the range of , is the total number of reception points in the acquisition range of the work area.

4. The method of claim 1, wherein, The method comprises: The method comprises: Relation 4 wherein, represents the uniformity of the azimuthal angle interval within any grid. represents the difference in spacing between two adjacent pairs of excitation-reception relationships after azimuthal ordering; represents the difference in the average distance of the excitation-reception relation pairs after azimuthal angle sorting; indicates an azimuth angle number of excitation-reception relation pairs within an interval indicates an azimuth angle The number of intervals in the excitation-reception relationship pair.

5. The method of claim 1, wherein, The method comprises: The device comprises: Relation 5 In the formula, represents the number of coverages within the grid; represents a firing-receiving relationship pair consisting of a firing point and a receiving point and a receiving point representing the midpoint position of the represents the grid size.

6. An observation system emplacement device, characterized by, A range acquisition module configured to remove the non-acquisition area in the range of the work area to obtain a work area acquisition range; A node acquisition module configured to obtain a work area grid based on the work area acquisition range and a preset step length, the work area grid comprising a plurality of nodes arranged in a grid shape; ​ The excitation point acquisition module is configured to randomly select a preset number of excitation points from a plurality of nodes of the grid in the work area; The receiving point acquisition module is configured to randomly select a preset number of receiving points from a plurality of nodes of the grid in the work area acquisition range after the excitation points are removed; The relationship pair acquisition module is configured to, for any excitation point, establish a correlation between the excitation point and the receiving point according to a preset offset threshold, and generate an excitation-receiving relationship pair; The list acquisition module is configured to acquire the azimuth, distance, and midpoint of all excitation-receiving relationship pairs in the work area acquisition range, and generate a list of excitation-receiving relationship pairs; The uniformity acquisition module is configured to sort excitation-receiving relationship pairs whose midpoints fall within the same grid according to the distance in different azimuths, acquire the number of excitation-receiving relationship pairs in any grid, and acquire the distance uniformity of each azimuth; The coverage number acquisition module is configured to acquire the coverage number of each grid based on all excitation-receiving relationship pairs in the work area acquisition range; The encryption module is configured to, for a grid that is simultaneously lower than the distance uniformity threshold of each azimuth and the preset coverage number threshold, encrypt the excitation point or the receiving point in a plurality of nodes of the grid in the work area acquisition range after the excitation points and the receiving points are removed in a random selection manner until the distance uniformity of each azimuth of the excitation-receiving relationship pairs in the grid and the coverage number are not simultaneously less than the threshold; The layout module is configured to layout physical points corresponding to the excitation points and the receiving points in the work area to form an observation system.

7. The apparatus of claim 6, wherein, The excitation point acquisition module is configured to: Using the Mason twisting method, respectively generate [the data in the range]... and Random numbers between and ,Depend on The probability density function of the determined excitation point is shown in Equation 1: Relation 1 in, It is by The probability density function of a given excitation point; Nx is the total number of rows of the grid in the work area, and Hs is the total length of the corresponding grid; Ny is the total number of columns of the grid in the work area, and Ws is the total width of the corresponding grid; By The determined node is the position of the randomly generated excitation point; Work area range.

8. An electronic device, comprising: The method comprises: one or more processors; one or more memories for storing instructions executable by the one or more processors; The one or more processors are configured to execute the instructions to implement the observation system layout method of any one of claims 1 to 5.

9. A storage medium, characterized by When the instructions in the storage medium are executed by the processor of the electronic device, the electronic device can execute the observation system layout method of any one of claims 1 to 5.

10. A computer program product comprising computer instructions, characterized in that, The computer instructions are executed by the processor to implement the observation system layout method of any one of claims 1 to 5.

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