Artificial plastic stone design and construction method based on artificial intelligence technology

Abstract

The invention discloses an artificial plastic stone design and construction method based on an artificial intelligence technology, the method runs through the whole process of design and construction through an AI technology, and the method comprises the following specific steps: firstly, writing cue words, and generating a large number of concept and intention diagrams of artificial plastic stones by using AI; then, through an image fusion technology, a plurality of design schemes are generated in combination with classical design case optimization, and after an optimal scheme is selected, a corresponding three-dimensional model is generated by utilizing AI; generating a structure model of the supporting steel frame, the modeling reinforcing mesh and the concrete lining mesh through the three-dimensional model; and in the construction stage, reinforcing steel bar machining, concrete pouring and detail carving are conducted according to the model, and finally the accurate plastic stone structure is formed. According to the method, the AI technology is integrated into multiple working processes of the landscape garden, intelligence from conceptual design to the whole construction life cycle is achieved, the design efficiency is greatly improved, the problem that design and construction are disjointed in a traditional method is solved, and the method has the advantages of being efficient, accurate and sustainable.

Description

Technical Field

[0001] The invention relates to the technical field of building construction methods, and in particular to an artificial stone design and construction method based on artificial intelligence technology. Background Art

[0002] In modern landscape design, landscape stone is a common landscape element, widely used in public spaces such as parks, green spaces, and squares to simulate the natural environment and create natural landscapes with artistic effects. However, with the increasing requirements for environmental protection, the mining and use of natural landscape stone are subject to more and more restrictions and constraints. Natural landscape stone is not only expensive, but also difficult to transport and install. Its large-scale mining will also cause irreversible damage to the natural environment. Therefore, artificial plastic stone, as a substitute for natural landscape stone, has gradually become an important choice in landscape design.

[0003] Compared with natural landscape stone, artificial stone has the following significant advantages:

[0004] Strong plasticity: Artificial plastic stone can be customized in appearance, color, texture, etc. according to design requirements, and can be shaped into various shapes and textures, breaking through the limitations of natural landscape stones in shape and size.

[0005] Environmental protection and sustainability: Artificial plastic stone uses materials such as concrete and steel bars, which avoids the destruction of natural resources and helps promote green and sustainable garden construction.

[0006] Flexible construction: Since artificial plastic stone can be customized and constructed in sections according to specific projects, its transportation and installation process is more convenient and suitable for a variety of different construction environments.

[0007] Cost control: Artificial stone materials are widely available and relatively inexpensive. Compared with natural landscape stones, they can better control the overall cost of the project.

[0008] Although artificial plastic stone has the above advantages, the traditional artificial plastic stone design and construction methods also have significant limitations, which are mainly reflected in the following aspects:

[0009] (1) The design process relies on manual experience: Traditional artificial stone design is highly dependent on the designer's experience and personal perception. Designers need to collect design materials through a large number of field trips, photography, hand-drawing, etc., and conceive based on memory and experience. This method is not only time-consuming and labor-intensive, but also difficult to ensure the diversity and innovation of the design. The number of design options is limited, and it is impossible to quickly generate a variety of design options, which makes it difficult to meet the demand for diversified artificial stone shapes in large-scale landscape projects.

[0010] (2) The connection between design and construction is not tight: In the traditional design process, the two-dimensional design drawings generated by the designer are difficult to use directly in construction. Two-dimensional drawings cannot provide sufficient construction information, such as supporting structure, material consumption, detailed modeling, etc. Therefore, engineers often need to estimate the size and shape of the steel structure based on the two-dimensional drawings during the construction phase, resulting in material waste, inaccurate modeling, and low overall construction efficiency. Especially when it comes to large-scale complex modeling, errors in the construction process are difficult to avoid.

[0011] (3) Problems with construction accuracy and efficiency: Without the guidance of accurate 3D models, the construction phase usually relies on manual experience to build support structures and shape detailed shapes, which makes it impossible to achieve accurate steel bar processing, support structure design, and concrete pouring. Traditional construction methods are not only inefficient, but also have poor modeling restoration, making it difficult to fully present the detailed effects in the design drawings.

[0012] (4) The separation of the entire life cycle of design and construction: The design stage and the construction stage are often separated. Designers and construction parties need to coordinate the design and the problems in actual construction through multiple communications and modifications. This leads to the extension of the project cycle and the situation where the design plan cannot be fully implemented. The final effect may be quite different from the expectation.

[0013] In response to these problems, the introduction of artificial intelligence technology provides a new solution for the design and construction of artificial plastic stone. In recent years, with the development of AI technologies such as deep learning, generative adversarial networks (GAN), and 3D modeling, AI has shown great potential in the fields of image generation, 3D reconstruction, and automated design.

[0014] Based on the above background, the present invention proposes an artificial stone design and construction method based on artificial intelligence technology. Summary of the invention

[0015] The purpose of the present invention is to provide an artificial stone design and construction method based on artificial intelligence technology to address the deficiencies of the prior art and to solve the problems raised in the background technology.

[0016] To achieve the above object, the present invention provides the following technical solution: an artificial stone design and construction method based on artificial intelligence technology, characterized in that the method comprises the following steps:

[0017] Step 1: In the design stage, by writing prompt words, use the AI ​​Wensheng map function to generate a large number of concept intention maps of artificial stone;

[0018] Step 2: Select target images that meet the design requirements from the existing landscape stone atlas;

[0019] Step 3: Use the AI ​​image generation function to fuse the design target image with the generated concept image in multiple rounds to form multiple solution images;

[0020] Step 4: Select the best solution image and generate the corresponding 3D model through AI;

[0021] Step 5: Generate a 3D structural model of the supporting steel frame, modeling steel mesh, and concrete lining mesh using the 3D model;

[0022] Step 6: During the construction phase, steel mesh processing, concrete pouring and detail carving are carried out according to the 3D model.

[0023] As a preferred technical solution of the present invention, the prompt words written in step 1 include descriptions of the length-width ratio, modeling characteristics, surrounding environment and color texture of the artificial plastic stone, so as to generate a conceptual intention map that meets actual requirements.

[0024] As a preferred technical solution of the present invention, the multi-image fusion in step 3 uses an image fusion algorithm based on a generative adversarial network (GAN), and its formula is:

[0025] G(z)=T(z)·α+(1-α)·D(x)

[0026] Among them, G(z) is the generated image, T(z) is the concept intention map generated by AI, D(x) is the design target map, and α is the weight parameter of image fusion, which is optimized through multiple iterations.

[0027] As a preferred technical solution of the present invention, during multiple rounds of fusion, the weight parameter α gradually increases with each round of iteration, so that the final generated solution image is closer to the design target image.

[0028] As a preferred technical solution of the present invention, a 3D reconstruction algorithm based on deep learning is used in step 5 to convert the 2D solution image into a 3D model. The algorithm formula is:

[0029] f(x,y)=ReLU(W1·σ(W2·p(x,y)))

[0030] Among them, f(x,y) represents the output of the three-dimensional coordinate point, p(x,y) is the pixel coordinate of the two-dimensional plane image, W1, W2 are weight matrices, and σ is a nonlinear activation function.

[0031] As a preferred technical solution of the present invention, the generated three-dimensional model includes three structural models of a supporting steel frame, a modeling steel mesh and a concrete lining mesh, and a three-dimensional grid is generated from the outside to the inside using a layer-by-layer extrusion technology.

[0032] As a preferred technical solution of the present invention, in the three-dimensional grid model generated in step 5, the aperture and density of each layer of the modeling steel mesh and the concrete lining mesh are automatically adjusted according to the strength requirements of the plastic stone structure, specifically: the outermost layer is a large-eye chicken cage lining mesh with an aperture of 25 mm, the middle layer is a rectangular steel mesh with a diameter of 200 mm × 200 mm, and the inner layer is a small-eye diamond lining mesh with an aperture of 4 mm.

[0033] As a preferred technical solution of the present invention, the supporting steel frame and steel mesh of the plastic stone in step 6 are processed on-site through the CAD drawings generated by the three-dimensional model, the steel bars are processed by an automatic steel bar bending machine, and are welded into a complete modeling steel mesh according to the numbering.

[0034] As a preferred technical solution of the present invention, when carving on the surface of the structural concrete in step 9, detailed carving is performed based on the three-dimensional model generated by Al, and the surface is colored according to the color information in the design scheme.

[0035] As a preferred technical solution of the present invention, the entire design and construction process adopts a data-driven intelligent feedback mechanism to adjust the generation of the three-dimensional model and the construction plan in real time to ensure that the final effect meets the design requirements.

[0036] Compared with the prior art, the artificial stone design and construction method based on artificial intelligence technology of the present invention is used in practical application, and the beneficial effects achieved are:

[0037] 1. By introducing artificial intelligence technology, the present invention allows designers to quickly generate a large number of concept intention diagrams, greatly enriching the choice of design solutions. AI image fusion technology can achieve multiple rounds of solution optimization and gradually approach the design goal, thus avoiding the limitations of traditional manual design. The improvement of design efficiency not only shortens the design cycle, but also increases the diversity and innovation of the design, which is particularly suitable for complex landscape projects.

[0038] 2. This invention uses AI-generated 3D models to seamlessly connect design and construction, solving the problem that traditional 2D drawings are difficult to use directly for construction. The 3D model contains detailed structural information of the supporting steel frame, steel mesh and concrete lining, ensuring the accuracy and efficiency of construction. With the guidance of the 3D model, the steel bar processing, support structure construction and concrete pouring in the construction process become more accurate, reducing material waste and errors.

[0039] 3. The AI ​​technology of the present invention runs through the entire life cycle of design and construction, from concept generation to construction detail optimization, providing intelligent support for the entire process. Through real-time monitoring and intelligent feedback, problems in the construction process can be adjusted in a timely manner to ensure the perfect realization of the design effect. This intelligent closed-loop management not only improves the final effect of the project, but also greatly shortens the communication cycle between design and construction, and improves overall work efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 This is a method flow chart of an artificial plastic stone design and construction method based on artificial intelligence technology proposed by the present invention.

[0041] Figure 2 The present invention provides a schematic diagram of the construction process of a three-dimensional shape in an artificial stone design and construction method based on artificial intelligence technology. DETAILED DESCRIPTION

[0042] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0043] The following is combined with Figure 1 With reference to the accompanying drawings and a number of embodiments, specific embodiments of the present invention are described in detail.

[0044] Example 1: Preliminary design and concept generation of artificial stone

[0045] In this embodiment, the preliminary design process of artificial plastic stone first generates a concept intention map through artificial intelligence technology, and the specific steps are as follows:

[0046] Writing prompts: Designers write prompts based on the needs of the landscape project. The prompts include the basic size of the plastic stone (such as the ratio of length, width and height), the surrounding environment (such as the style suitable for parks, squares or natural scenic spots), the shape characteristics (such as steep or rounded shapes), and the color texture (such as the gray of limestone or the reddish brown of sandstone).

[0047] AI generated images: Input the prompt words into the AI ​​text-to-image generation system, and use the Generative Adversarial Network (GAN) algorithm to generate a variety of different styles of stone shaping concept intention images. Each image is based on different parameter combinations and shows various design solutions that meet the prompt word requirements.

[0048] Solution screening: Designers select several pictures that meet the expected effects from the large number of concept pictures generated as preliminary materials for subsequent design integration.

[0049] Example 2: Target fusion and solution determination

[0050] In this embodiment, artificial intelligence technology is used to fuse multiple design solutions to form an optimal solution that better meets the design requirements. The specific steps are as follows:

[0051] Target picture selection: The designer selects a classic landscape stone picture from existing excellent cases as the design target picture, which reflects the overall style, detail processing and aesthetic characteristics of the final stone sculpture.

[0052] Image fusion: Using AI image-to-image translation technology, the design target image is fused with the concept intention image generated in Example 1 for multiple rounds. The fusion process is based on the image transformation algorithm of the generative adversarial network, and the degree of fusion between the two is gradually adjusted so that each generated image gradually approaches the shape of the target image. The fusion formula is:

[0053] G′(z)=T(z)·α+(1-α)·D(x)

[0054] Among them, G ′ (z) is the image generated in each round, T(z) is the concept intention map, D(x) is the target map, and α gradually increases.

[0055] Scheme selection: After multiple rounds of image fusion, the designer selects the image that best meets the design requirements from the generated schemes as the final design scheme.

[0056] Example 3: 3D model generation and detail optimization

[0057] This embodiment introduces the specific process of using AI to generate a 3D model and perform fine adjustments. The steps are as follows:

[0058] 3D model generation: Input the final 2D solution image into the AI ​​image-to-3D model system and use 3DGC technology to generate the corresponding 3D model. Use a 3D reconstruction algorithm based on deep learning to build a complete 3D structure of the plastic stone. This is a mature existing technology and will not be expanded here. The generated 3D model includes appearance, detailed features and preliminary support structure.

[0059] Model refinement and topology optimization: The generated 3D model is sculpted and refined through computer-aided design software, and retopology is performed according to actual construction needs. Topology optimization simplifies the mesh structure of the model to ensure that the model is easy to process and saves materials during the construction process.

[0060] Support structure design: According to the appearance design of the 3D model, the 3D structure of the supporting steel frame, modeling steel mesh and concrete lining mesh is automatically generated inward. The specific generation process uses an extrusion algorithm, calls the ready-made offset function, sets the offset distance parameters, and offsets new surfaces layer by layer inward. That is, starting from the model skin generated by AI, the inner skin is generated layer by layer by extruding, and a three-layer structural grid is generated layer by layer from the outside to the inside. Generally speaking, the outer layer is set to a hexagonal grid with an aperture of 60mm, the middle layer is a rectangular grid of 200×200mm, and the inner layer is a hexagonal grid with an aperture of 60mm. The process is as follows: Figure 2 In one application case, the aperture and density of each layer of modeling steel mesh and concrete lining mesh are automatically adjusted according to the strength requirements of the plastic stone structure. Specifically, the outermost layer is a 25mm large-eye chicken cage lining mesh, the middle layer is a 200mm×200mm rectangular steel mesh, and the inner layer is a 4mm small-eye diamond lining mesh.

[0061] Example 4: Steel bar processing and on-site construction

[0062] In this embodiment, the steel bar processing and on-site construction process based on the three-dimensional model are described in detail:

[0063] Rebar processing: According to the CAD vector diagram generated by the 3D model, each rebar is numbered and the specific processing size is recorded. The rebar is processed using an automatic rebar bending machine to ensure that the shape of the rebar matches the rebar mesh in the 3D model. For smaller artificial plastic stones, the rebar can be processed on site and welded manually.

[0064] Steel mesh assembly: After processing, the steel bars are welded into a complete steel mesh according to the number. After precise assembly, the steel mesh is fixed on the supporting steel frame installed on site to form the basic frame structure of the plastic stone.

[0065] Concrete pouring: After tying the concrete lining mesh inside and outside the shaped steel mesh, concrete pouring is carried out to ensure the strength and stability of the structure.

[0066] Example 5: Stone carving and surface treatment

[0067] This example introduces the process of stone carving and surface treatment based on a three-dimensional model:

[0068] Detailed carving: After the concrete structure dries, workers will perform detailed carving on the surface of the structure based on the 3D model generated by AI. During the carving process, they will refer to the local details of the model to ensure that the final shape is consistent with the design plan.

[0069] Surface coloring: After the carving is completed, the concrete surface is colored according to the color requirements in the design plan. The coloring process uses multi-layer spraying technology to simulate the texture and color changes of natural stone to ensure that the appearance of the plastic stone is similar to that of real rock.

[0070] Example 6: Intelligent Feedback and Adjustment

[0071] In this embodiment, an intelligent feedback mechanism in the design and construction process is introduced:

[0072] Real-time monitoring: During the entire design and construction process, real-time monitoring is carried out based on the design model and on-site construction data, and deviations that occur during the construction process, such as material usage, structural dimensions, etc., are automatically recorded.

[0073] Feedback adjustment: Based on monitoring data, the AI ​​system will automatically adjust the design or construction plan, such as the shape of the steel mesh or the concrete formula, to ensure that the construction results are consistent with the original design plan.

[0074] Closed-loop feedback: After the construction is completed, the actual construction results are compared and analyzed with the design model. The system automatically summarizes the problems encountered during the construction and provides improvement suggestions for future design and construction, forming an intelligent design and construction closed loop.

[0075] Conclusion: Through the above embodiments, the artificial plastic stone design and construction method based on artificial intelligence technology of the present invention can effectively solve the limitations of traditional methods by integrating artificial intelligence technology into the design and construction process of artificial plastic stone. Especially in the following aspects: Improve design efficiency and innovation: By generating a large number of design schemes through AI, designers can quickly obtain diversified concept intention diagrams, and optimize the design schemes through image fusion technology, reducing the time cost in the manual design process and improving the diversity and innovation of the design. Accurate three-dimensional modeling: AI can directly convert two-dimensional design images into three-dimensional models, and automatically generate three-dimensional structures of supporting steel frames, steel meshes and concrete lining meshes in the model, which not only improves the accuracy of design and construction, but also can be directly used for guidance in the construction stage. Intelligent support for the entire life cycle: Through the application of AI technology throughout, design and construction are seamlessly connected. The three-dimensional model generated by AI can not only be used to optimize the design scheme, but also can directly guide the construction, improving the overall efficiency and accuracy from design to construction, and reducing the errors caused by information faults in the traditional process.

[0076] Therefore, using artificial intelligence technology to assist in the design and construction of artificial plastic stone is an effective means to solve the problems of low efficiency, insufficient precision, and disconnection between design and construction in the design and construction of traditional artificial plastic stone. It can significantly improve the overall quality and construction efficiency of landscape projects and promote technological upgrading in the industry.

[0077] The contents not described in detail in this specification belong to the prior art known to professional and technical personnel in the field. Although the present invention has been described in detail with reference to the aforementioned embodiments, it is still possible for those skilled in the art to modify the technical solutions described in the aforementioned embodiments, or to make equivalent substitutions for some of the technical features therein. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. An artificial stone design and construction method based on artificial intelligence technology, characterized in that: The method comprises the following steps: Step 1: In the design stage, by writing prompt words, use the AI ​​Wensheng map function to generate a large number of concept intention maps of artificial stone; Step 2: Select target images that meet the design requirements from the existing landscape stone atlas; Step 3: Use the AI ​​image generation function to fuse the design target image with the generated concept image in multiple rounds to form multiple solution images; Step 4: Select the best solution image and generate the corresponding 3D model through AI; Step 5: Generate a 3D structural model of the supporting steel frame, modeling steel mesh, and concrete lining mesh using the 3D model; Step 6: During the construction phase, steel mesh processing, concrete pouring and detail carving are carried out according to the 3D model.

2. The artificial stone design and construction method according to claim 1 is characterized in that: The prompt words written in step 1 include descriptions of the length-width ratio, shape characteristics, surrounding environment, and color texture of the artificial stone, so as to generate a conceptual intention map that meets actual requirements.

3. The artificial stone design and construction method according to claim 1 is characterized in that: The multi-image fusion in step 3 uses an image fusion algorithm based on a generative adversarial network (GAN), and its formula is: G(z)=T(z)·α+(1-α)·D(x) Among them, G(z) is the generated image, T(z) is the concept intention map generated by AI, D(x) is the design target map, and α is the weight parameter of image fusion, which is optimized through multiple iterations.

4. The artificial stone design and construction method according to claim 3 is characterized in that: During multiple rounds of fusion, the weight parameter α gradually increases with each iteration, making the final generated solution image closer to the design target image.

5. The artificial stone design and construction method according to claim 1 is characterized in that: In step 5, a 3D reconstruction algorithm based on deep learning is used to convert the 2D solution image into a 3D model. The algorithm formula is: f(x,y)=ReLU(W1·σ(W2·p(x,y))) Among them, f(x,y) represents the output of the three-dimensional coordinate point, p(x,y) is the pixel coordinate of the two-dimensional plane image, W1, W2 are weight matrices, and σ is a nonlinear activation function.

6. The artificial stone design and construction method according to claim 5 is characterized in that: The generated 3D model includes three structural models: supporting steel frame, modeling steel mesh and concrete lining mesh. The 3D mesh is generated from the outside to the inside using layer-by-layer extrusion technology.

7. The artificial stone design and construction method according to claim 1 is characterized in that: In the three-dimensional mesh model generated in step 5, the aperture and density of the modeling steel mesh and concrete lining mesh are automatically adjusted according to the strength requirements of the plastic stone structure. Specifically, the outermost layer is a large-eye chicken cage lining mesh with an aperture of 25 mm, the middle layer is a rectangular steel mesh with a size of 200 mm × 200 mm, and the inner layer is a small-eye diamond lining mesh with an aperture of 4 mm.

8. The artificial stone design and construction method according to claim 1 is characterized in that: In step 6, the supporting steel frame and steel mesh of the plastic stone are processed on-site through the CAD drawings generated by the three-dimensional model. The steel bars are processed using an automatic steel bar bending machine and welded into a complete modeling steel mesh according to the numbering.

9. The artificial stone design and construction method according to claim 1 is characterized in that: When carving on the surface of the structural concrete in step 6, detailed carving is performed based on the three-dimensional model generated by Al, and the surface is colored according to the color information in the design plan.

10. The artificial stone design and construction method according to claim 1, characterized in that: The entire design and construction process adopts a data-driven intelligent feedback mechanism to adjust the generation of 3D models and construction plans in real time.

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