Engineering cost calculation method and system based on digital sand table plotting

Abstract

The invention discloses an engineering cost calculation method and system based on digital sand table plotting, and relates to the technical field of engineering cost calculation, and the method comprises the steps: carrying out digital sand table data modeling, and plotting an engineering structure for information association; establishing a dynamic engineering cost calculation rule base, and calculating the cost of the engineering module; and generating an engineering cost distribution map, and performing three-dimensional visual display. According to the engineering cost calculation method based on digital sand table plotting, the construction cost calculation process is more intelligent and dynamic due to establishment of the rule base, proper rules can be matched in real time according to input conditions, and the efficiency and accuracy of cost estimation are improved. Through visual display, complex cost data becomes visual and readable, so that project managers and related parties can quickly know cost distribution and influences thereof, and cooperation efficiency and decision-making quality are improved. The method has better effects in the aspects of automation, calculation efficiency and accuracy.

Description

Technical Field

[0001] The present invention relates to the technical field of engineering cost calculation, and in particular to an engineering cost calculation method and system based on digital sand table plotting. Background Art

[0002] Current construction cost calculation methods primarily rely on two-dimensional drawings and manual calculation tools. This traditional approach is insufficient for modern, large-scale, and complex engineering projects. Two-dimensional drawings lack intuitive spatial information, making it difficult to fully reflect the project's topography, structural layout, and spatial relationships. Furthermore, traditional cost calculation tools often rely on static bills of quantities, making it difficult to dynamically respond to changes in construction, such as fluctuating material prices, rising labor costs, and delays in the construction schedule. For complex projects, information management is inefficient, and collaboration between stakeholders often suffers from information asymmetry, leading to budget overruns or project delays.

[0003] During the construction design phase, engineers often need to optimize costs through multiple rounds of trial calculations and optimization. However, these optimization processes often rely on offline tools and empirical judgment, and are unable to quickly respond to new design changes. Especially in areas with complex terrain and changing environmental conditions, project cost calculations must consider multiple dynamic factors, such as terrain affecting construction difficulty and weather affecting construction timelines. Existing technologies have limited ability to handle these dynamic factors, making it impossible to accurately predict and decompose cost distribution early on, often leading to uncontrollable budgets.

[0004] In terms of visualization, traditional cost calculation results are often presented in tables and text, lacking three-dimensional visualization. This makes it difficult for non-professionals (such as owners and contractors) to quickly understand the project's cost distribution, further exacerbating communication difficulties. Furthermore, the lack of a unified engineering cost calculation rule base makes it difficult to share data and rules between different projects, creating information silos and reducing overall efficiency.

[0005] With the widespread adoption of Building Information Modeling (BIM) and Geographic Information System (GIS) technologies, construction cost calculation techniques have seen significant advancements. However, these technologies still face numerous limitations in practical application. For example, while BIM systems can manage the geometric information of complex projects, their support for dynamic cost calculations is limited. GIS technology can provide geospatial information, but lacks in-depth analysis of project material, labor, and equipment costs. The integration of these two technologies has yet to yield a mature solution. Furthermore, the level of automation in existing technologies remains insufficient, with many steps requiring manual judgment, making it difficult to achieve a balance between efficiency and accuracy. Summary of the Invention

[0006] In view of the above-mentioned problems, the present invention is proposed.

[0007] Therefore, the technical problem solved by the present invention is that the existing engineering cost assessment method has the problems of non-intuitive information, insufficient dynamic response, missing rule base, and low degree of automation.

[0008] To solve the above technical problems, the present invention provides the following technical solutions: a method for calculating engineering cost based on digital sand table mapping, comprising digital sand table data modeling, mapping engineering structure for information association; establishing a dynamic engineering cost calculation rule library, calculating the cost of engineering modules; generating an engineering cost distribution map, and performing three-dimensional visual display.

[0009] As a preferred solution of the engineering cost calculation method based on digital sand table mapping described in the present invention, the digital sand table data modeling includes using laser radar scanning to generate contour models, collecting laser radar point cloud data in the area, and generating a three-dimensional terrain model through a discrete point interpolation algorithm; and using multi-resolution partition modeling technology to optimize the accuracy of the terrain.

[0010] As a preferred embodiment of the project cost calculation method based on digital sand table mapping described in the present invention, the mapping of project structures and information association includes using GIS-based mapping tools to locate the project structures in the digital sand table, define the planar position and three-dimensional height of the buildings, map the underground pipeline network, record the location, direction and burial depth, and map the road connectivity in the construction area, including width, slope and traffic flow direction.

[0011] Use polygonal selection, node editing and control plotting accuracy;

[0012] Classify and manage engineering drawing information, record the material type, specifications and quantity required for each structure, and integrate equipment information used during the construction process.

[0013] As a preferred solution of the engineering cost calculation method based on digital sand table mapping described in the present invention, wherein: the mapping of engineering structure for information association also includes mapping construction components and associating construction material information to the database, dividing each construction module into foundation, wall, and roof sub-modules, and using the material database to match the material specifications and quantity Q of each module j and unit price P j ;

[0014] Combined material delivery time t j , the time-weighted cost of the calculation module is expressed as:

[0015]

[0016] Among them, Q j is the demand for material j, P jis the current unit price of material j, t j is the delivery time of material j, α is the time sensitivity factor, which measures the additional impact of time on cost, and β is the time decay factor, which determines the intensity of the impact of time on cost.

[0017] As a preferred solution of the engineering cost calculation method based on digital sandbox plotting of the present invention, wherein: said establishing a dynamic engineering cost calculation rule base includes the dynamic engineering cost calculation rule base being divided into a material rule layer, a manual rule layer and an equipment rule layer;

[0018] The material rule layer includes directly matching the material of the corresponding specification if the design parameter d meets the standard specification range of the material;

[0019] If d exceeds the standard range, it will prompt manual adjustment of specifications and recommend alternative materials;

[0020] Determine the material market price P j,avg Whether it exceeds the fluctuation threshold, if |P j -P j,avg | / P j,avg ≤5%, using the current market price P j ,If the threshold is exceeded, historical data is displayed and the user is prompted to make a decision;

[0021] The labor allocation rules include: if the module area A is less than or equal to the upper limit of the type of work, directly allocate workers; if A is greater than the upper limit of the type of work, increase the number of workers or display the construction delay time allocated according to the upper limit;

[0022] The equipment rule layer includes directly matching equipment if the construction task requirements are within the equipment's functional range, and prompting equipment replacement if they are beyond the functional range;

[0023] If the equipment function meets the construction task requirements, it is determined whether the equipment rental period meets the construction plan. If the rental period T k If the construction plan is met, the lease will be normal. If the lease time is insufficient, the lease time will be automatically increased and additional fees will be estimated.

[0024] As a preferred solution of the engineering cost calculation method based on digital sand table mapping described in the present invention, the cost of the engineering module is calculated by the area A of the construction component. k and volume V k Extract the initial cost formula from the rule base:

[0025] f(A k ,V k )=α·A k +β·V k

[0026] Among them, α is the area cost coefficient and β is the volume cost coefficient.

[0027] According to the construction time T k And the dynamic weight function g(A k ,V k ,t), make adjustments and express it as:

[0028]

[0029] The cost is expressed as:

[0030]

[0031] Among them, C k is the final cost of the construction components, T k The construction completion time.

[0032] As a preferred solution of the engineering cost calculation method based on digital sand table mapping described in the present invention, wherein: the generating of the engineering cost distribution map includes setting the value range of the total cost, setting the green, yellow, red colors from low to high according to the value range

[0033] Adjust the transparency based on whether the submodule is a critical path module that affects the total construction period. If it affects the total construction period, it is set to be completely opaque; otherwise, it is set to be partially transparent.

[0034] The display rules of each layer are independent. The material layer is colored according to the cost per unit area, and the labor layer is colored according to the proportion of work types.

[0035] Synchronize color distribution to plotting of 3D terrain models.

[0036] Another object of the present invention is to provide an engineering cost calculation system based on digital sand table mapping, which can solve the shortcomings of traditional extensive budgeting through refined cost calculation, realize accurate cost management of complex construction scenarios, and solve the problem of insufficient accuracy in current engineering cost calculation.

[0037] As a preferred solution of the engineering cost calculation system based on digital sand table mapping described in the present invention, it includes: a model construction module, a cost assessment module, and a cost analysis module; the model construction module is used to perform digital sand table data modeling and map the engineering structure for information association; the cost assessment module is used to establish a dynamic engineering cost calculation rule base and calculate the cost of the engineering module; the cost analysis module is used to generate an engineering cost distribution map for three-dimensional visual display.

[0038] A computer device includes a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement a step of a method for calculating engineering cost based on digital sand table plotting.

[0039] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of a method for calculating engineering cost based on digital sand table plotting.

[0040] The beneficial effects of this invention are as follows: The establishment of a rule library for engineering cost calculation methods based on digital sandbox plotting provides a more intelligent and dynamic cost calculation process, enabling real-time matching of appropriate rules based on input conditions, thereby improving the efficiency and accuracy of cost estimation. Through visual display, complex cost data becomes intuitive and easy to read, enabling project managers and stakeholders to quickly understand cost distribution and its impact, improving collaboration efficiency and decision-making quality. This invention achieves superior results in automation, computational efficiency, and accuracy. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0042] Figure 1 This is an overall flow chart of a method for calculating engineering cost based on digital sand table plotting provided in the first embodiment of the present invention. DETAILED DESCRIPTION

[0043] To make the above-mentioned objects, features, and advantages of the present invention more clearly understood, the following detailed description of the specific embodiments of the present invention is given in conjunction with the accompanying drawings. It is obvious that the described embodiments are only part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in this field without creative work should fall within the scope of protection of the present invention.

[0044] Example 1, with reference to Figure 1 , which is an embodiment of the present invention, provides a method for calculating construction cost based on digital sand table plotting, comprising:

[0045] S1: Conduct digital sandbox data modeling and plot engineering structures for information association.

[0046] Furthermore, digital sandbox data modeling involves using LiDAR scanning to generate contour models, collecting LiDAR point cloud data within the area, and generating a 3D terrain model using a discrete point interpolation algorithm. Multi-resolution zoning modeling technology optimizes terrain accuracy. Zoning mapping technology divides the building structure into submodules such as foundation, walls, and roof. A material database is used to match material specifications and estimated quantities for each module in real time, dynamically adjusting for price fluctuations.

[0047] It should be noted that mapping engineering structures for information association includes using GIS-based mapping tools to locate engineering structures in a digital sandbox, defining the planar position and three-dimensional height of buildings, mapping underground pipelines, recording the location, direction and burial depth, and mapping the road connection relationship in the construction area for the road system, including width, slope and traffic flow direction.

[0048] Use polygonal selection, node editing and control plotting accuracy.

[0049] Classify and manage engineering drawing information, record the material type, specifications and quantity required for each structure, and integrate equipment information used during the construction process.

[0050] It should also be noted that mapping engineering structures for information association also includes mapping construction components and associating construction material information to the database, dividing each construction module into foundation, wall, and roof submodules, and using the material database to match the material specifications and quantity Q of each module. j and unit price P j .

[0051] Combined material delivery time t j , the time-weighted cost of the calculation module is expressed as:

[0052]

[0053] Among them, Q j is the demand for material j, P j is the current unit price of material j, t j is the delivery time of material j, α is the time sensitivity factor, which measures the additional impact of time on cost, and β is the time decay factor, which determines the intensity of the impact of time on cost. The results are stored in the back-end database, and the impact of material price fluctuations is dynamically updated, such as real-time adjustment of P j values to adapt to market fluctuations and ensure cost calculation accuracy.

[0054] S2: Establish a dynamic engineering cost calculation rule base to calculate the cost of the engineering module.

[0055] Furthermore, a dynamic engineering cost calculation rule base is established, which includes dividing the dynamic engineering cost calculation rule base into a material rule layer, a manual rule layer and an equipment rule layer.

[0056] The material rule layer includes directly matching the material of the corresponding specification if the design parameter d meets the standard specification range of the material;

[0057] If d exceeds the standard range, it will prompt manual adjustment of specifications and recommend alternative materials.

[0058] Determine the material market price P j,avg Whether it exceeds the fluctuation threshold, if |P j -P j,avg | / P j,avg ≤5%, using the current market price P j ,If the threshold is exceeded, historical data will be displayed and the user will be prompted to make a decision.

[0059] The labor allocation rules include: if the module area A is less than or equal to the upper limit of the type of work allocation, directly allocate the number of workers; if A is greater than or equal to the upper limit of the type of work allocation, increase the number of workers or display the construction delay time allocated according to the upper limit.

[0060] The equipment rule layer includes directly matching the equipment if the construction task requirements are within the equipment's functional range, and prompting equipment replacement if they exceed the functional range.

[0061] If the equipment function meets the construction task requirements, it is determined whether the equipment rental period meets the construction plan. If the rental period T k If the construction plan is met, the lease will be normal. If the lease time is insufficient, the lease time will be automatically increased and additional fees will be estimated.

[0062] The manual rule layer optimizes construction hours according to the type of work, and the equipment rule layer supports manual construction progress by adjusting equipment rental and usage time.

[0063] It should be noted that the cost of calculating the engineering module includes the area A of the construction component. k and volume V k Extract the initial cost formula from the rule base:

[0064] f(A k ,V k )=α·A k +β·V k

[0065] Among them, α is the area cost coefficient and β is the volume cost coefficient.

[0066] According to the construction time T k And the dynamic weight function g(A k ,V k,t), make adjustments and express it as:

[0067]

[0068] The cost is expressed as:

[0069]

[0070] Among them, C k is the final cost of the construction components, T k The construction completion time.

[0071] S3: Generate a project cost distribution map for 3D visualization.

[0072] It should be noted that generating the project cost distribution map includes setting the value range of the total cost, and setting the green, yellow, and red colors from low to high according to the value range.

[0073] The transparency is adjusted according to whether the sub-module is a critical path module that affects the total construction period. If it affects the total construction period, it is set to be completely opaque; otherwise, it is set to be partially transparent.

[0074] The display rules of each layer are independent. The material layer is colored according to the cost per unit area, and the labor layer adjusts the color according to the proportion of work types.

[0075] Synchronize color distribution to plotting of 3D terrain models.

[0076] Example 2, an embodiment of the present invention, provides a method for calculating engineering cost based on digital sand table plotting. In order to verify the beneficial effects of the present invention, scientific demonstration is carried out through economic benefit calculation and simulation experiments.

[0077] First, to verify the effectiveness of the proposed construction cost calculation method in real-world scenarios, a mountain complex construction project was selected as an experimental subject. The project features complex terrain, including steep slopes, plains, and valleys. Structures such as buildings, roads, and pipelines required mapping, along with detailed cost analysis and visualization. First, a LiDAR scan of the target area was performed, collecting point cloud data covering a total area of approximately 20 square kilometers. A discrete point interpolation algorithm was used to generate an initial 3D terrain model. After the model was generated, multi-resolution zoning modeling techniques were used to optimize the accuracy of highly variable areas (such as steep slopes and valleys). After optimization, the terrain accuracy reached ±5 cm. Within the digital sandbox, GIS mapping tools were used to map the planar position and 3D height of the buildings, the direction and depth of the underground pipeline network, and the width, slope, and traffic flow direction of the road system. Next, zoning mapping techniques were used to divide each building module into foundation, wall, and roof submodules. Material specifications and estimated quantities (such as concrete, rebar, and bricks) were then matched to each module using a materials database. The material information of construction components is linked to the database in real time. At the same time, the time-weighted cost is calculated based on the material delivery time and market price fluctuations, and the material cost is dynamically adjusted to reflect actual market changes.

[0078] Table 1 Experimental data comparison table

[0079]

[0080]

[0081] The area and volume data for building modules 1 and 2 clearly demonstrate the design requirements for different areas. This invention, through LiDAR point cloud and multi-resolution modeling technology, can refine the terrain model, controlling the accuracy of complex terrain to within ±5 centimeters, ensuring a more accurate data foundation for subsequent cost calculations.

[0082] The material cost for Pipeline Network Module 2 was 57% higher than for Module 1, reflecting the rule base's ability to dynamically adjust to material specifications and market price fluctuations. For example, the system detected a 5.2% increase in the market price of some steel pipes and prompted optimization using historical price data, reducing material procurement risk.

[0083] The labor cost distribution shows that the labor cost for Building Module 2 is 500,000 yuan, 67% higher than that for Building Module 1. This is due to the larger area of Module 2 and the more complex types of work involved. The rule library of this invention successfully avoids waste of labor resources by optimizing the allocation of work types and prompting adjustments to construction schedules.

[0084] Example 3, an embodiment of the present invention provides an engineering cost calculation system based on digital sandbox plotting, including a model building module, a cost assessment module, and a cost analysis module.

[0085] The model building module is used to build digital sandbox data, plot engineering structures, and associate information. The cost assessment module is used to establish a dynamic engineering cost calculation rule library and calculate the cost of engineering modules. The cost analysis module is used to generate engineering cost distribution maps for 3D visualization.

[0086] If the function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or the part of the 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 enabling a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, and other media that can store program code.

[0087] The logic and / or steps represented in the flowcharts or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing the logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (e.g., a computer-based system, a system including a processor, or other system that can fetch and execute instructions from an instruction execution system, apparatus, or device). For purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transport a program for use by, or in conjunction with, an instruction execution system, apparatus, or device.

[0088] More specific examples (a non-exhaustive list) of computer-readable media include the following: an electrical connection with one or more wires (electronic devices), a portable computer disk cartridge (magnetic devices), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), a fiber optic device, and a portable compact disc read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering, or processing in another suitable manner as necessary, and then stored in a computer memory.

[0089] It should be understood that various parts of the present invention can be implemented using hardware, software, firmware, or a combination thereof. In the above-described embodiments, multiple steps or methods can be implemented using software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented using hardware, as in another embodiment, any one of the following technologies known in the art or a combination thereof can be used: a discrete logic circuit having logic gate circuits for implementing logical functions on data signals, an application-specific integrated circuit having suitable combinational logic gate circuits, a programmable gate array (PGA), a field-programmable gate array (FPGA), etc. It should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention and are not intended to be limiting. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced with equivalents without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications should be encompassed by the claims of the present invention.

[0090] 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 the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A method for calculating construction cost based on digital sand table plotting, characterized in that: include: Conduct digital sandbox data modeling, plot engineering structures and conduct information association; Establish a dynamic engineering cost calculation rule base to calculate the cost of engineering modules; Generate a project cost distribution map for 3D visualization.

2. The method for calculating construction cost based on digital sand table plotting according to claim 1, wherein: The digital sand table data modeling includes using laser radar scanning to generate contour models, collecting laser radar point cloud data in the area, generating a three-dimensional terrain model through a discrete point interpolation algorithm; and using multi-resolution partition modeling technology to optimize the accuracy of the terrain.

3. The method for calculating construction cost based on digital sand table plotting according to claim 2, wherein: The mapping of engineering structures and information association includes using GIS-based mapping tools to locate engineering structures in a digital sandbox, defining the planar position and three-dimensional height of buildings, mapping underground pipelines, recording the location, direction, and burial depth, and mapping the road connections in the construction area, including width, slope, and traffic flow direction. Use polygonal selection, node editing and control plotting accuracy; Classify and manage engineering drawing information, record the material type, specifications and quantity required for each structure, and integrate equipment information used during the construction process.

4. The method for calculating construction cost based on digital sand table plotting according to claim 3, wherein: The mapping of engineering structures for information association also includes mapping construction components and associating construction material information to the database, dividing each construction module into foundation, wall, and roof submodules, and using the material database to match the material specifications and quantity Q of each module. j and unit price P j ; Combined material delivery time t j , the time-weighted cost of the calculation module is expressed as: Among them, Q j is the demand for material j, P j is the current unit price of material j, t j is the delivery time of material j, α is the time sensitivity factor, which measures the additional impact of time on cost, and β is the time decay factor, which determines the intensity of the impact of time on cost.

5. The method for calculating construction cost based on digital sand table plotting according to claim 4, wherein: The establishment of a dynamic engineering cost calculation rule base includes dividing the dynamic engineering cost calculation rule base into a material rule layer, a manual rule layer and an equipment rule layer; The material rule layer includes directly matching the material of the corresponding specification if the design parameter d meets the standard specification range of the material; If d exceeds the standard range, it will prompt manual adjustment of specifications and recommend alternative materials; Determine the material market price P j,avg Whether it exceeds the fluctuation threshold, if |P j -P j,avg | / P j,avg ≤5%, using the current market price P j ,If the threshold is exceeded, historical data is displayed and the user is prompted to make a decision; The labor allocation rules include: if the module area A is less than or equal to the upper limit of the type of work, directly allocate workers; if A is greater than the upper limit of the type of work, increase the number of workers or display the construction delay time allocated according to the upper limit; The equipment rule layer includes directly matching equipment if the construction task requirements are within the equipment's functional range, and prompting equipment replacement if they are beyond the functional range; If the equipment function meets the construction task requirements, it is determined whether the equipment rental period meets the construction plan. If the rental period T k If the construction plan is met, the lease will be normal. If the lease time is insufficient, the lease time will be automatically increased and additional fees will be estimated.

6. The method for calculating construction cost based on digital sand table plotting according to claim 5, characterized in that: The cost of the engineering module is calculated by calculating the area A of the construction component. k and volume V k Extract the initial cost formula from the rule base: f(A k ,V k )=α·A k +β·V k Among them, α is the area cost coefficient and β is the volume cost coefficient. According to the construction time T k And the dynamic weight function g(A k ,V k ,t), make adjustments and express it as: The cost is expressed as: Among them, C k is the final cost of the construction components, T k The construction completion time.

7. The method for calculating construction cost based on digital sand table plotting according to claim 6, wherein: The generation of the project cost distribution map includes setting the value range of the total cost, setting the green, yellow, and red colors from low to high according to the value range. Adjust the transparency based on whether the submodule is a critical path module that affects the total construction period. If it affects the total construction period, it is set to be completely opaque; otherwise, it is set to be partially transparent. The display rules of each layer are independent. The material layer is colored according to the cost per unit area, and the labor layer is colored according to the proportion of work types. Synchronize color distribution to plotting of 3D terrain models.

8. A system using the engineering cost calculation method based on digital sand table plotting according to any one of claims 1 to 7, characterized in that: Including model building module, cost assessment module, and cost analysis module; The model building module is used to model digital sandbox data and plot engineering structures for information association; The cost assessment module is used to establish a dynamic engineering cost calculation rule base to calculate the cost of the engineering module; The cost analysis module is used to generate a project cost distribution map for three-dimensional visual display.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the engineering cost calculation method based on digital sand table drawing according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the engineering cost calculation method based on digital sand table plotting according to any one of claims 1 to 7 are implemented.

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