Method and equipment for optimizing design and arrangement of soil taking opening of top plate in reverse construction

Abstract

The invention provides a method and equipment for optimizing design and arrangement of a top plate soil taking opening in reverse construction. The method specifically comprises the steps of automatically generating coordinates of the position where the soil taking opening is located and the size of the soil taking opening, and automatically accounting corresponding constraint conditions. According to the soil sampling opening arrangement scheme automatically generated by the system, on one hand, the design efficiency can be effectively improved; and on the other hand, through a scheme calculated through an algorithm and a function, the optimal soil taking opening configuration scheme is scientifically analyzed under the structural safety permission for a certain specific foundation pit scene. According to the position, the number and the size of the optimized soil sampling opening, a user can reduce loss caused by design change, streamline conflict, insufficient soil sampling amount, overlarge excavation area and the like, so that the cost is controlled. And an optimized solution aiming at the design of the soil sampling opening is provided for the reverse roof construction of the building industry, and the underground engineering development of the building industry is promoted.

Description

Technical Field

[0001] This invention relates to a method and equipment for optimizing the design and layout of soil extraction ports on the roof during reverse construction. Background Technology

[0002] In narrow sites within urban core areas, the top-down construction method is often used to minimize disturbance to the surrounding environment and save construction space. The core construction procedure of this method is "top-down construction," meaning that a top floor slab is first constructed as a "cover," and then the underground space is excavated under the protection of the cover, with the structure constructed layer by layer, while simultaneously building the above-ground structure upwards. Currently, the design of the excavation port for the cover slab is generally fixed, typically located in the center or on the side of the pit. However, in reality, due to limitations such as site constraints, machinery size, and the location of the site exit, the design of the excavation port does not achieve optimal soil removal efficiency, construction safety, and structural stress. Summary of the Invention

[0003] The purpose of this invention is to provide a method and equipment for optimizing the design and layout of soil extraction ports on the top slab during reverse construction.

[0004] To address the above problems, this invention provides a method for optimizing the design and layout of top slab soil extraction ports in reverse construction, comprising:

[0005] Obtain the foundation pit information for the design of the top slab of the foundation pit, including: information on the closed area formed by the beam spans within the foundation pit;

[0006] Set strong constraints on the soil extraction port;

[0007] Based on the foundation pit information, the closed area composed of beam spans within the foundation pit is screened using a genetic algorithm according to a preset objective function to obtain the closed area composed of beam spans within the foundation pit with the lowest total cost.

[0008] A strong constraint calculation is performed on the closed area composed of beam spans within the foundation pit with the lowest total cost, and the closed area composed of beam spans within the foundation pit that passes the calculation is used as the soil extraction point.

[0009] Furthermore, in the above method, obtaining the foundation pit information for the design of the pit top slab includes:

[0010] By importing the foundation pit structure drawings, the outer contour of the foundation pit is obtained. Based on the outer contour, the total area S of the foundation pit is calculated. total ;

[0011] Using the foundation pit structural drawings, obtain the coordinates (x, y) of the center point of the closed area formed by each beam span within the foundation pit. i y i ), in which the closed area formed by each beam span in the foundation pit is used as the candidate area for the soil extraction port;

[0012] The span length (w) of the closed area formed by the beam spans within the foundation pit i , l i ), serving as the parent array for the genetic algorithm, where w i To make the soil intake a short span, l i The soil extraction port has a long span;

[0013] Set the coordinates of the pit entrance and exit (x) out y out Daily soil removal volume Q, maximum slewing radius of machinery r cov Coordinates of the forbidden area (x) lim y lim ), transportation unit price k1, unit area soil extraction port unit price k2, structural reinforcement unit price k3; set coverage balance penalty coefficient k4 and area ratio penalty coefficient k5.

[0014] Furthermore, in the above method, strong constraints are set for the soil extraction port, including:

[0015] Set a minimum size limit for the soil extraction port, i.e., w i ≥w min , l i ≥l min S soil =w i ·l i ≥2π·(r cov ) 2 , where w min l min These represent the minimum soil extraction port for short and long spans, respectively; r cov The maximum operating radius of the excavator means that the area of ​​the soil extraction port must be at least twice the operating area of ​​the excavator.

[0016] Set obstacle avoidance constraints: min(d) i >4m, d i This is the straight-line distance from the boundary of the soil extraction point to the nearest diaphragm wall;

[0017] Set the soil sampling port spacing constraint: p≥2l i p is the distance between the two center points;

[0018] Set a constraint on the proportion of total area: in, S represents the total area of ​​all soil extraction points. total The total area of ​​the foundation pit;

[0019] Set a constraint on the number of soil extraction points, n: n min ≤n≤n max , where n min n max This represents the minimum and maximum number of soil extraction ports required.

[0020] Furthermore, in the above method, the preset objective function is: minF=α·C trans +β·C const +γ·C cov +δ·C ratio Where minF is the minimum cost, and α, β, γ, and δ are weighting coefficients; C trans For transportation costs; C const For construction costs; C cov For coverage area; C ratio This is an area penalty item.

[0021] Furthermore, in the above method, the objective function for transportation costs is: in, Let k1 be the unit price of earthwork transportation per unit volume per meter, and Q be the daily earthwork output (m³). 3 ), Let n be the average distance from the borrow pit to the site exit, and n be the number of borrow pits. out y out (x) represents the coordinates of the pit entrance and exit, (x) i y i ) represents the coordinates of the center point of the closed area formed by the beam spans within the foundation pit.

[0022] Furthermore, in the above method, the objective function for construction cost is C. const =n·(k2+k3·w i ·l i ), representing the construction cost required for n soil extraction sites, where k2 is the construction cost per unit area of ​​a single soil extraction site, k3 is the structural reinforcement cost per unit area, and (w i , l i ) represents the span length of the closed area formed by the beam spans within the foundation pit, w i To make the soil intake a short span, l i The long span of the soil extraction port.

[0023] Furthermore, in the above method, the objective function for the coverage area is C. cov =k4·σ dist , where σ dist k is the standard deviation of the distance from the soil extraction point to each edge feature point of the foundation pit, and k4 is the coverage balance penalty coefficient.

[0024] Furthermore, in the above method, the objective function of the area penalty is: This indicates that when the total area of ​​the soil extraction site deviates by 20%, the penalty increases according to the degree of deviation. Here, k5 is the area ratio deviation penalty coefficient, and S... total The total area of ​​the foundation pit. This represents the total area of ​​all soil extraction points.

[0025] According to another aspect of the present invention, a computer-readable storage medium is also provided, having stored thereon computer-executable instructions, wherein when executed by a processor, the computer-executable instructions cause the processor to perform the method described in any of the preceding claims.

[0026] According to another aspect of the present invention, a calculator device is also provided, comprising:

[0027] Processor; and

[0028] A memory configured to store computer-executable instructions, which, when executed, cause the processor to perform the method described in any of the preceding descriptions.

[0029] Compared with existing technologies, this invention provides a formulaic and automated optimization method and system for designing soil extraction ports for the top slab in reverse construction methods. By calculating and determining the size, quantity, and location of soil extraction ports, it improves problems such as excessive costs, low efficiency, and insufficient safety caused by unreasonable design. The method specifically includes the following steps: First, based on the foundation pit drawings, the overall situation of the foundation pit is determined, and then the areas that may be used as soil extraction ports are analyzed. Then, a genetic algorithm is used to determine the quantity, location, and size of soil extraction ports, thereby determining the soil extraction port construction scheme and outputting the top slab construction scheme.

[0030] This invention uses a genetic algorithm to analyze relevant information about the foundation pit at the construction site and obtain the optimal size, quantity, and location configuration of the soil extraction ports, thereby reducing the soil extraction cost of the reverse excavation method for foundation pits and improving the excavation efficiency of foundation pits.

[0031] This invention specifically includes automatically generating the coordinates and dimensions of soil extraction ports, and automatically calculating the corresponding constraints. The automatically generated soil extraction port layout scheme effectively improves design efficiency. Furthermore, the scheme calculated by algorithms and functions scientifically analyzes the optimal soil extraction port configuration for a specific foundation pit scenario, under the premise of structural safety. Based on the optimized location, quantity, and size of the soil extraction ports, users can reduce losses caused by design changes, flow line conflicts, insufficient soil extraction volume, and excessive excavation area, thereby controlling costs. It also provides an optimized solution for soil extraction port design in reverse-construction roof slab construction in the building industry, promoting the development of underground engineering in the construction industry. Attached Figure Description

[0032] Figure 1 This is a flowchart of a method for optimizing the design and layout of soil extraction ports on the roof during reverse construction, according to an embodiment of the present invention.

[0033] Figure 2 This is a schematic diagram of the soil sampling port parameters according to an embodiment of the present invention;

[0034] Figure 3 This is a schematic diagram of the feature points at the edge of the foundation pit according to an embodiment of the present invention;

[0035] Figure 4 This is a schematic diagram of the system interface according to an embodiment of the present invention. Detailed Implementation

[0036] The present invention will now be described in further detail with reference to the accompanying drawings.

[0037] In a typical configuration of this application, the terminal, the device of the service network, and the trusted party all include one or more processors (CPUs), input / output interfaces, network interfaces, and memory.

[0038] Memory may include non-persistent storage in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. Memory is an example of computer-readable media.

[0039] Computer-readable media include both permanent and non-permanent, removable and non-removable media that can store information using any method or technology. Information can be computer-readable instructions, data structures, modules of programs, or other data. Examples of computer storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, CD-ROM, digital versatile optical disc (DVD) or other optical storage, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other non-transferable medium that can be used to store information accessible by a computing device. As defined herein, computer-readable media does not include non-transitory computer-readable media, such as modulated data signals and carrier waves.

[0040] like Figures 1 to 4 As shown, the present invention provides a method for optimizing the design and layout of soil extraction ports on the roof of a reverse-construction project, comprising:

[0041] Step S1: Obtain the foundation pit information for the design of the top slab of the foundation pit, including: information on the closed area composed of beam spans within the foundation pit;

[0042] Step S2: Set strong constraints for the soil sampling port;

[0043] Step S3: Based on the foundation pit information, the closed area composed of beam spans within the foundation pit is screened using a genetic algorithm according to a preset objective function to obtain the closed area composed of beam spans within the foundation pit with the lowest total cost.

[0044] Step S4: Perform a strong constraint calculation on the closed area composed of beam spans within the foundation pit with the lowest total cost, and use the closed area composed of beam spans within the foundation pit that passes the calculation as the soil extraction point.

[0045] Here, a strong constraint calculation is performed on the closed area composed of beam spans in the foundation pit with the lowest total cost obtained by the comprehensive cost genetic algorithm, and the center point through which the strong constraint calculation passes is taken as the center point of the soil extraction port.

[0046] This invention provides an optimized design method for the size, location, and number of soil extraction ports on the top slab of an excavation pit. By importing the structural drawings of the excavation pit to be designed, setting the foundation parameters, and obtaining basic information about the pit, this invention constructs an objective function to "minimize total cost," transforming influencing factors such as efficiency, safety, structure, and cost into calculable parameter terms, allowing for the evaluation of different top slab design schemes.

[0047] The present invention discloses an optimized design method for soil extraction ports in reverse construction of the top slab. The method includes: first, importing the required foundation pit structure drawings; analyzing the foundation pit outline and beam span center point coordinates; configuring site foundation parameters and coefficients; then setting strong constraints; and finally entering the program flow. The first step involves verification modules for transportation costs, construction costs, and coverage costs. The transportation cost module is configured to analyze the distance from the center point of each soil extraction port within the foundation pit to the site entrance / exit, thereby obtaining a better arrangement of center point coordinates as the parent. The construction cost module is configured to analyze the construction costs generated by all soil extraction ports, thereby obtaining a better number and size of soil extraction ports as the parent. The coverage verification module analyzes the standard deviation of the distance from the soil extraction port to each edge feature point of the foundation pit, thereby obtaining further optimized soil extraction port center point coordinates. Finally, through area verification and constraint condition verification, the child generation is further screened, thereby automatically establishing an optimal soil extraction port design scheme.

[0048] In one embodiment of the method for optimizing the design and layout of the top slab soil extraction port in reverse construction of the present invention, step S1, obtaining the foundation pit information for the design of the top slab of the foundation pit, includes:

[0049] Step S11: Obtain the outer contour of the foundation pit by importing the foundation pit structure drawings, and obtain the total area S of the foundation pit based on the outer contour. total ;

[0050] Step S12: Obtain the coordinates (x, y) of the center point of the closed area formed by each beam span within the foundation pit using the foundation pit structure drawings. i y i), in which the closed area formed by each beam span in the foundation pit is used as the candidate area for the soil extraction port;

[0051] Step S13, the span length (w) of the closed area formed by the beam spans within the foundation pit is calculated. i , l i ), serving as the parent array for the genetic algorithm, where w i To make the soil intake a short span, l i For details regarding the long span of the soil extraction port, please refer to [link / reference]. Figure 2 Indication;

[0052] Step S14, set the coordinates of the pit entrance and exit (x out y out Daily soil removal volume Q, maximum slewing radius of machinery r cov Coordinates of the forbidden area (x) lim y lim ), transportation unit price k1, unit area soil extraction port unit price k2, structural reinforcement unit price k3; set coverage balance penalty coefficient k4 and area ratio penalty coefficient k5.

[0053] like Figure 2 As shown, in one embodiment of the method for optimizing the design and layout of soil extraction ports in reverse construction of the present invention, step S2, setting strong constraint conditions for the soil extraction ports, includes:

[0054] Step S21, set the minimum size limit for the soil sampling opening, i.e., w i ≥w min , l i ≥l min S soil =w i ·l i ≥2π·(r cov ) 2 , where w min l min These represent the minimum soil extraction openings for the short and long spans, respectively, with the default value being w. min It is 4m, l min It is 6m; r cov The maximum operating radius of the excavator is expressed as the area of ​​the soil extraction port being at least twice the operating area of ​​the excavator.

[0055] Step S22, Set obstacle avoidance constraints: min(d i >4m, d i Let be the straight-line distance from the soil extraction point boundary to the nearest diaphragm wall, and let be the minimum distance (d). i It needs to be greater than 4 meters;

[0056] Step S23, Set the constraint on the spacing between soil sampling ports: p≥2l i p is the distance between the two center points;

[0057] Step S24, Set total area percentage constraints: in, S represents the total area of ​​all soil extraction points. total The total area of ​​the foundation pit;

[0058] Step S25, set the constraint on the number of soil extraction ports n: n min ≤n≤n max , where n min n max This represents the minimum and maximum number of soil extraction points required, with a default value of n. min For 1, n max It is 5.

[0059] In one embodiment of the method for optimizing the design and layout of the top slab soil extraction port in reverse construction of the present invention, step S3, based on the foundation pit information, involves using a genetic algorithm to screen the closed area composed of beam spans within the foundation pit according to a preset objective function to obtain the closed area composed of beam spans within the foundation pit with the lowest total cost, including:

[0060] The preset objective function is: minF = α·C trans +β·C const +γ·C cov +δ·C ratio Where minF is the minimum cost, and α, β, γ, and δ are weighting coefficients; C trans For transportation costs; C const For construction costs; C cov For coverage area; C ratio This is an area penalty item.

[0061] In one embodiment of the method for optimizing the design and layout of soil extraction ports in reverse construction of the present invention, the objective function for transportation cost is: in, This represents the transportation cost from the i-th soil extraction point to the entrance / exit. k1 is the unit price per cubic meter of soil transported (ten thousand yuan / m³). 3 ·m), Q is the daily soil excavation volume (m³) 3 ), Let n be the average distance (m) from the borrow pit to the site exit, and n be the number of borrow pits. out y out (x) represents the coordinates of the pit entrance and exit, (x) i y i ) represents the coordinates of the center point of the closed area formed by the beam spans within the foundation pit.

[0062] In one embodiment of the method for optimizing the design and layout of soil extraction ports in reverse construction of the present invention, the objective function for construction cost is C. const =n·(k2+k3·w i ·li Let k2 be the construction cost required for n soil extraction sites, and k3 be the structural reinforcement cost per unit area (ten thousand yuan). 2 ), (w i , l i ) represents the span length of the closed area formed by the beam spans within the foundation pit, w i To make the soil intake a short span, l i The long span of the soil extraction port.

[0063] In one embodiment of the method for optimizing the design and layout of soil extraction ports on the roof of the reverse construction of the present invention, the objective function of the coverage area is C. cov =k4·σ dist , where σ dist The standard deviation of the distance from the soil extraction point to each characteristic point on the edge of the foundation pit is shown (the smaller the standard deviation, the more uniform the distribution and the more comprehensive the coverage). See details. Figure 3 The diagram shows that k4 is the coverage balance penalty coefficient.

[0064] In one embodiment of the method for optimizing the design and layout of soil extraction ports in reverse construction of the present invention, the objective function of the area penalty is: This indicates that when the total area of ​​the soil extraction site deviates by 20%, the penalty increases according to the degree of deviation. Where k5 is the area ratio deviation penalty coefficient (in ten thousand yuan), and S... total The total area of ​​the foundation pit. This represents the total area of ​​all soil extraction points.

[0065] According to another aspect of the present invention, a computer-readable storage medium is also provided, having stored thereon computer-executable instructions, wherein when executed by a processor, the computer-executable instructions cause the processor to perform the method described in any of the preceding claims.

[0066] According to another aspect of the present invention, a calculator device is also provided, comprising:

[0067] Processor; and

[0068] A memory configured to store computer-executable instructions, which, when executed, cause the processor to perform the method described in any of the preceding descriptions.

[0069] In summary, existing top slab design schemes for reverse construction methods have relatively fixed borrow pit design schemes, resulting in suboptimal efficiency, cost, and safety. This invention provides a formulaic and automated optimization method and system for borrow pit design in reverse construction top slabs. By calculating and determining the size, quantity, and location of borrow pits, it improves upon problems such as excessively high costs, low efficiency, and insufficient safety caused by unreasonable design. The method specifically includes the following steps: First, based on the foundation pit drawings, determine the overall situation of the foundation pit, and then analyze the areas that may be used for borrow pits. Then, a genetic algorithm is used to determine the quantity, location, and size of borrow pits, thereby determining the borrow pit construction scheme and outputting the top slab construction scheme.

[0070] This invention uses a genetic algorithm to analyze relevant information about the foundation pit at the construction site and obtain the optimal size, quantity, and location configuration of the soil extraction ports, thereby reducing the soil extraction cost of the reverse excavation method for foundation pits and improving the excavation efficiency of foundation pits.

[0071] This invention specifically includes automatically generating the coordinates and dimensions of soil extraction ports, and automatically calculating the corresponding constraints. The automatically generated soil extraction port layout scheme effectively improves design efficiency. Furthermore, the scheme calculated by algorithms and functions scientifically analyzes the optimal soil extraction port configuration for a specific foundation pit scenario, under the premise of structural safety. Based on the optimized location, quantity, and size of the soil extraction ports, users can reduce losses caused by design changes, flow line conflicts, insufficient soil extraction volume, and excessive excavation area, thereby controlling costs. It also provides an optimized solution for soil extraction port design in reverse-construction roof slab construction in the building industry, promoting the development of underground engineering in the construction industry.

[0072] For detailed descriptions of the various device embodiments of the present invention, please refer to the corresponding sections of the various method embodiments; they will not be repeated here.

[0073] Obviously, those skilled in the art can make various modifications and variations to this application without departing from the spirit and scope of this application. Therefore, if such modifications and variations fall within the scope of the claims of this application and their equivalents, this application also intends to include such modifications and variations.

[0074] It should be noted that the present invention can be implemented in software and / or a combination of software and hardware, for example, using an application-specific integrated circuit (ASIC), a general-purpose computer, or any other similar hardware device. In one embodiment, the software program of the present invention can be executed by a processor to implement the steps or functions described above. Similarly, the software program of the present invention (including associated data structures) can be stored in a computer-readable recording medium, such as RAM memory, a magnetic or optical drive, a floppy disk, or similar devices. Furthermore, some steps or functions of the present invention can be implemented in hardware, for example, as circuitry that works with a processor to perform the various steps or functions.

[0075] Furthermore, a portion of this invention can be applied as a computer program product, such as computer program instructions, which, when executed by a computer, can invoke or provide the methods and / or technical solutions according to the invention through the operation of the computer. The program instructions invoking the methods of the invention may be stored in a fixed or removable recording medium, and / or transmitted via a data stream in a broadcast or other signal-carrying medium, and / or stored in the working memory of a computer device operating according to the program instructions. Here, an embodiment of the invention includes an apparatus comprising a memory for storing computer program instructions and a processor for executing the program instructions, wherein, when the computer program instructions are executed by the processor, the apparatus is triggered to operate the methods and / or technical solutions based on the foregoing embodiments of the invention.

[0076] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the invention. Therefore, the embodiments should be considered illustrative and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description. Thus, all variations falling within the meaning and scope of equivalents of the claims are intended to be embraced within the present invention. No reference numerals in the claims should be construed as limiting the scope of the claims. Furthermore, it is clear that the word "comprising" does not exclude other units or steps, and the singular does not exclude the plural. Multiple units or devices recited in the apparatus claims may also be implemented by a single unit or device in software or hardware. The terms "first," "second," etc., are used to indicate names and do not indicate any particular order.

Claims

1. A method for optimizing the design arrangement of a topsoil opening of a top-down construction roof, characterized in that, The method comprises: obtaining foundation pit information of a foundation pit roof design, including: information of a closed area composed of beam spans in the foundation pit; setting a strong constraint condition for the soil taking opening; based on the foundation pit information, performing genetic algorithm screening on the closed area composed of beam spans in the foundation pit according to a preset target function, to obtain a closed area composed of beam spans in the foundation pit with the lowest total cost; performing strong constraint condition accounting on the closed area composed of beam spans in the foundation pit with the lowest total cost, and taking the closed area composed of beam spans in the foundation pit that passes the accounting as the soil taking opening.

2. The method of claim 1, wherein, Obtaining foundation pit information of a foundation pit roof design, including: By importing the foundation pit structure drawing, the outer contour of the foundation pit is obtained, and based on the outer contour of the foundation pit, the total area S of the foundation pit is obtained total ; Obtain the coordinates (x i , y i ) of the center point of the closed area composed of each beam span in the foundation pit through the foundation pit structure drawing, wherein the closed area composed of each beam span in the foundation pit is taken as a candidate area of the earth removal opening; The cross length (w i ) of the closed area formed by the beam span groups in the foundation pit i ), as the parent class array of the genetic algorithm, wherein w i is the short span of the soil intake, and l i is the long span of the soil intake Setting the foundation pit entrance coordinate (x out , y out ), daily output Q, the maximum mechanical radius of rotation r cov , the forbidden area coordinate (x lim , y lim ), transportation unit price k1, unit area of taking soil price k2, structure reinforcement unit price k3; Set the coverage balance penalty coefficient k4 and the area ratio penalty coefficient k5.

3. The method of claim 1, wherein, setting a strong constraint condition for the soil taking opening, including: The minimum size limit of the soil taking opening is that w i ≥ w min , l i ≥ l min , S soil = w i · l i ≥ 2π·(r cov ) 2 , wherein w min , l min are the minimum short span and long span of the soil taking opening respectively, r cov is the maximum working radius of the excavator, and indicates that the area of the soil taking opening is at least 2 times the working area of the excavator. Set the obstacle avoidance constraint: min(d i )>4m, d i is the straight-line distance from the cut opening boundary to the nearest underground continuous wall; Set the distance between the soil sampling hole constraints: p ≥ 2l i , p is the distance between two center points; Set the total area proportion constraint: Wherein, S represents the total area of all soil outlets total is the total area of the foundation pit; Setting a constraint on the number of soil sampling holes n: n min ≤ n ≤ n max where n min , n max are the minimum and maximum number of soil sampling holes required.

4. The method of claim 1, wherein, The preset target function is: minF=α·C trans +β·C const +γ·C cov +δ·C ratio Wherein, minF is minimum cost, α, β, γ, δ are weight coefficients; C trans is transportation cost; C const is construction cost; C cov is coverage; C ratio is area penalty term.

5. The method of claim 4, wherein, The objective function of the transportation cost is wherein, k1 is the transportation cost per unit of earthwork and meter, and Q is the daily earthwork amount, from the i-th earthwork intake to the exit, is the average distance from the earthwork intake to the site exit, n is the number of earthwork intakes, (x out , y out ) is the coordinate of the foundation pit exit, and (x i , y i ) is the coordinate of the center point of the closed area composed of the beam spans in the foundation pit.

6. The method of claim 4, wherein the method is characterized by: The objective function of the construction cost is C const = n · (k2+ k3· w i · l i ), which represents the construction cost of n soil taking openings, where k2 is the construction cost per unit area of a single soil taking opening, k3 is the structure reinforcement cost per unit area, (w i , l i ) is the span length of the closed area composed of beam spans in the foundation pit, w i is the short span of the soil taking opening, and l i is the long span of the soil taking opening.

7. The method of claim 4, wherein the method further comprises: determining the optimal size of the soil removal opening based on the soil removal opening size optimization equation. The target function of the coverage is C cov = k4 σ dist where σ dist is the standard deviation of the distances from the soil intake opening to the characteristic points of the edges of the foundation pit, and k4 is a penalty coefficient for coverage uniformity.

8. The method of claim 4, wherein the method is characterized by: The area penalty target function is represents that when the total area proportion of the soil taking opening deviates by 20%, the penalty is increased according to the deviation. Wherein, k5 is the area proportion deviation penalty coefficient, S total is the total area of the foundation pit, represents the total area of all soil taking openings.

9. A computer-readable storage medium having stored thereon computer- executable instructions, wherein, The computer executable instructions, when executed by the processor, cause the processor to perform the method of any one of claims 1 to 8.

10. A computing device, wherein, The method comprises: a processor; and a memory arranged to store computer executable instructions which, when executed, cause the processor to perform the method of any one of claims 1 to 8.

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