Environmental art design method and system based on BIM technology

Abstract

The invention discloses an environmental art design method and system based on a BIM technology, and relates to the technical field of interior design, and the method comprises the following steps: collecting CAD plane drawings of a to-be-designed area, and generating different room design preview schemes including different room styles, space utilization rates and color combinations through an AI technology in combination with basic requirements of the drawings; the method comprises the following steps: based on the residence time of a user on a preview scheme, judging favorite styles of the current user, including a room style, a space utilization rate and a color combination, establishing a specific acceptance model, collecting historical design CAD drawings of a current designer, extracting design elements in the design drawings, and establishing a material library; and combining the CAD drawing of the current to-be-designed area according to the preference style of the current user. According to the method, the specific acceptance model is established based on the preference of the current user, the design draft is evaluated to improve the design efficiency of a designer and the satisfaction of the user, and the cost of each party is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of interior design. Specifically, it relates to an environmental art design method and system based on BIM technology. Background Art

[0002] Environmental art is a comprehensive art form that plans, designs, decorates, and beautifies the spatial environment through artistic means and scientific and technological means, including interior design, urban planning, landscape design, etc.; In the actual design process, due to the differences in requirements and communication problems between the design client and the contractor, it is easy to have the situation of repeated rework of the design drawings. There is a lack of an objective evaluation link based on the current customer's needs after the designer finalizes the design, making it difficult to judge whether the design actually meets the customer's needs. It can only rely on experience or repeated communication with the customer to confirm, which is prone to a large amount of repetitive labor, reducing the design efficiency and increasing the costs of all parties, and there is a problem of low efficiency; For the problems in the related art, no effective solution has been proposed yet. Summary of the Invention

[0003] For the problems in the related art, the present invention proposes an environmental art design method and system based on BIM technology to overcome the above technical problems existing in the existing related technologies.

[0004] To this end, the specific technical solutions adopted by the present invention are as follows: An environmental art design method based on BIM technology, the method comprising the following steps: S1. Collect CAD floor plans of the area to be designed, and combine with the basic requirements of the drawings to generate different room design preview plans through AI technology, including different room styles, space utilization rates, and color combinations; S2. Based on the residence time of the user on the preview plan, determine the preferred style of the current user, including room style, space utilization rate, and color combination, and establish a specific acceptance model; S3. Collect the historical design CAD drawings of the current designer, extract the design elements in the design drawings and establish a material library, and randomly fill the materials associated with the material library according to the preferred style of the current user and in combination with the CAD drawings of the room to be designed currently, and generate the original 3D model drawings through BIM technology for the designer to optimize; S4. For the optimized drawings, conduct a preliminary evaluation and determination through the specific acceptance model of the current user to obtain an objective score of the design plan.

[0005] As a preferred embodiment, the S1 includes the following steps: S11. Collect the CAD floor plan of the area to be designed, and determine the building type based on the drawing information, including the indoor room type, layout, and dimensions of the building; S12. Based on the room type, collect design case pictures of different room styles, different space utilization rates, and different color combinations under different room types, and establish a model through generative adversarial network training preview; S13. Based on the current picture of the room to be designed and the room dimensions, generate design previews of the current room in different styles through the trained generator, and mark the room style, space utilization rate, and color combination; S14. Based on the collected design case pictures of different room styles, divide the design case pictures of different room styles into a training set, a test set, and a validation set, and train a room style recognition model through a convolutional neural network.

[0006] As a preferred embodiment, the S2 includes the following steps: S21. Statistically analyze the browsing time of the generated design previews of different rooms by the user, and determine the priority of each subclass in the room style, space utilization rate, and color combination; S22. Based on the priority of the current user's room style, space utilization rate, and color combination, establish a specific acceptance model for the current user.

[0007] As a preferred embodiment, the S21 includes the following steps: S211. Combine different subclasses under the room style category, and respectively match the subclasses of space utilization rate and color combination to generate [number of pictures] design previews of the room; S212. Statistically analyze the browsing time of the generated design previews of different rooms by the current user. Based on the browsing time of the current user for different subclasses of room style, space utilization rate, and color combination, determine the priority of each subclass of the current user's room style, space utilization rate, and color combination. The specific steps are as follows: Statistically analyze the browsing time of different subclasses under the room style category, the browsing time of different subclasses under the space utilization rate category, and the browsing time of different subclasses under the color combination category respectively, and perform descending sorting and numbering in sequence to obtain the descending order of the priority of each subclass of the current user's room style, space utilization rate, and color combination.

[0008] As a preferred embodiment, the S22 includes the following steps: S221. Set the weights of the three major categories of room style, space utilization rate, and color combination, and combine the priority number order of each subclass of the current user's room style, space utilization rate, and color combination to establish a specific acceptance model for the current user. The specific steps and algorithm formulas are as follows: ; Among them, respectively represent the score proportions of room style, space utilization rate, and color combination, respectively represent the small category numbers of the current user in room style, space utilization rate, and color combination, is the specificity score.

[0009] As a preferred implementation manner, S3 includes the following steps: S31. Establish a drawing material library for the current designer based on MySQL, and establish groups for materials of different room styles respectively; S32. Collect the historical CAD drawings of the current designer, traverse each CAD drawing, and divide the design materials of different room styles into groups of different room styles according to the type annotations on the drawings; S33. Combine the priorities of the current user's room style, space utilization rate, and color combination, screen the materials in the material library, randomly perform associated material filling according to the CAD drawing of the room to be designed currently, and generate the original 3D model drawing through BIM technology.

[0010] As a preferred implementation manner, S33 includes the following steps: S331. Based on the priority of the current user's color combination, select the color combination small category ranked first as the judgment basis, traverse the material attributes in the room style group of the current material library, and retain the materials that match the judgment basis color combination. Its algorithm formula is: ; Among them, represents the retained room style design materials, d and D respectively represent a single material in the material library and the set of all materials in the room style material library, is the color matching function, a function for judging whether the material d conforms to the color combination priority function; S332. Based on the current CAD drawing to be designed, determine the three-dimensional space size of the room, including length, width, and height, and use this as the basic space for filling. Based on the bottom area of the materials in the material library, perform associated matching of the materials in the material library in combination with the available bottom area of the room. Its algorithm formula is: ; Among them, is the available bottom area of the current room, is the initial bottom area of the current room, is the bottom area of the materials already filled in the current room, represents the fillable materials, q, respectively represent a single material in the reserved room style design materials and the reserved room style design material library, represent the bottom area of the currently selected single material, and obtain the initial design CAD sketch of the current room through material filling; S333. Import the initial design CAD sketch of the current room into the BIM software, generate a 3D drawing and delete the volume interference materials. Through the space calculation function in the BIM software, calculate the space utilization rate in the current initial design CAD sketch. The algorithm formula is: ; Among them, K represents the space utilization rate in the current initial design CAD sketch, respectively represent the volume occupied by the material and the total volume of the room; Obtain the space occupancy threshold based on the space utilization rate priority of the current user , and compare the space utilization rate in the current initial design CAD sketch: When , retain the current initial design CAD sketch as the design sketch; When , randomly delete the filled room materials, repeatedly calculate the updated space utilization rate K until , retain the updated initial design CAD sketch as the design sketch.

[0011] As a preferred implementation manner, the S4 includes the following steps: S41. Collect the optimized drawings of the designer, import the drawings into the BIM software to calculate the space utilization rate of the drawings, and obtain the color combination attributes of the design materials. Combine the space utilization rate of the current user and the arrangement order of each small category of the color combination to obtain the space utilization rate number and color combination number of the current drawing; S42. Export the 2D picture of the current drawing through the BIM software. Based on the trained room style recognition model, identify the room style of the current drawing. Combine the arrangement order of the small categories of the room style of the current user to obtain the room style number of the current drawing. Combine the current user-specific acceptance model to calculate the specific score of the current drawing ; S43. When > 85, it means that the current design drawing meets the requirements of the current user and allows the design drawing to be submitted; When ≤85, it means that the current design drawing does not meet the requirements of the current user and needs to be modified again. Repeat steps S41 to S42 to perform a specific score on the redesigned drawing until the specific score is greater than 85.

[0012] An environmental art design system based on BIM technology, including a data acquisition module, a specific acceptance model establishment module, an original drawing generation module, and a final draft determination module; The data acquisition module is used to collect the CAD plane drawings of the room to be designed, combine the basic requirements of the drawings, and generate different room design preview schemes through AI technology, including different room styles, space utilization rates, and color combinations, and train a room style recognition model based on a convolutional neural network; The specific acceptance model establishment module determines the preferred style of the current user based on the stay time of the user on the preview scheme, including room style, space utilization rate, and color combination, and establishes a specific acceptance model for the current user; The original drawing generation module extracts the design elements in the design drawings based on the historical design CAD drawings of the current designer and establishes a material library. According to the preferred style of the current user, combined with the CAD drawings of the room to be designed, randomly fill in the associated materials in the material library, and generate an original 3D model drawing through BIM technology to obtain an initial design CAD sketch; The final draft determination module, based on the final design drawing of the designer, combines BIM technology with the specific acceptance model of the current user to preliminarily evaluate and determine the final design drawing of the designer, obtain an objective score for the design scheme, and retain the design drawing that meets the score requirements as the final draft of the design drawing for the current user.

[0013] The beneficial effects of the present invention are as follows: The present invention quickly generates room design preview schemes of various types by combining AI technology, and establishes a specific acceptance model for the design drawings of the current user based on the stay time of the current user on the preview scheme, so as to objectively score the design drawings of the designer, ensure that the design drawings initially meet the design requirements of the current user, avoid the low efficiency caused by repeated communication, and enhance the practicability and functionality; The present invention comprehensively combines the historical design materials of the current designer, screens the conforming materials based on the color combination priority and room style priority of the user, fills in the materials in combination with the drawing information of the room to be designed, and further screens based on the space utilization rate priority of the current user to obtain a preliminary sketch to facilitate the designer to modify and optimize, saving the designer's time and enabling them to quickly enter the modification and optimization stage, improving the overall design efficiency; The present invention specifically scores the design drawings submitted by the designer based on the specific acceptance model of the current user, ensures that only the design drawings that meet the preliminary score requirements can be sent to the user, and re-modifies the design drawings that do not meet the preliminary score requirements to ensure that the design drawings meet the personalized needs and preferences of the current user, reducing the repeated communication between the designer and the user, and reducing the communication cost and time consumption. Brief Description of the Drawings

[0014] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required in the embodiments. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0015] Figure 1 is a flowchart of an environmental art design method based on BIM technology according to an embodiment of the present invention; Figure 2 is a block diagram of an environmental art design system based on BIM technology according to an embodiment of the present invention. Detailed Embodiments

[0016] To further illustrate the embodiments, the present invention provides drawings. These drawings are part of the disclosure of the present invention. They are mainly used to illustrate the embodiments and can be used to explain the operating principles of the embodiments in conjunction with the relevant descriptions in the specification. With reference to these contents, those of ordinary skill in the art should be able to understand other possible implementation manners and the advantages of the present invention. The components in the drawings are not drawn to scale, and similar component symbols are usually used to represent similar components.

[0017] According to an embodiment of the present invention, an environmental art design method and system based on BIM technology are provided.

[0018] Now, the present invention will be further described in conjunction with the drawings and specific embodiments: Embodiment 1, as Figure 1 shown, an environmental art design method based on BIM technology according to an embodiment of the present invention, the method includes the following steps: S1. Collect CAD plane drawings of the area to be designed. Combining the basic requirements of the drawings, generate different room design preview schemes through AI technology, including different room styles, space utilization rates, and color combinations; S11. Collect CAD plane drawings of the area to be designed. Based on the drawing information, determine the building type, including the indoor room type, layout, and dimensions of the building; It should be noted that the room types include living room, master bedroom, secondary bedroom, etc.

[0019] S12. Based on the room type, collect design case pictures of different room styles, different space utilization rates, and different color combinations under different room types, and establish a model through generative adversarial network training preview; It should be noted that when training and previewing to establish a model through a generative adversarial network, a large number of design case pictures need to be collected to assist in generation. According to different room types, design case pictures with different room styles, space utilization rates, and color combinations under different types are collected respectively as the training picture library. And in order to enable the model to generate preview pictures of a specific style or feature, the collected pictures need to be labeled to indicate their room style, space utilization rate, and color combination attributes; The generative adversarial network consists of a generator and a discriminator. The generator learns how to generate realistic design preview pictures, while the discriminator learns how to distinguish between generated images and real images. Through the adversarial training of the two, the generator generates more and more realistic images.

[0020] S13. Based on the current picture of the room to be designed and the room size, use the trained generator to generate design preview pictures of the current room in different styles, and label the room style, space utilization rate, and color combination; It should be noted that using the trained generator, based on the input room type and size, multiple design preview pictures in different styles are generated. Different preview pictures respectively reflect different room styles, space utilization rates, and color combinations for the user to consult.

[0021] S14. Based on the collected case pictures of different room styles, divide the case pictures of different room styles into a training set, a test set, and a validation set, and train a room style recognition model through a convolutional neural network.

[0022] S2. Based on the user's stay time on the preview plan, determine the user's preferred style, including room style, space utilization rate, and color combination, and establish a specific acceptance model; S21. Statistically analyze the browsing time of the user on the generated design preview pictures of different rooms, and determine the priority of each sub-category in the room style, space utilization rate, and color combination; It should be noted that the room style includes modern minimalist style, Nordic style, Chinese style, Japanese style, etc. The space utilization rate includes high-density utilization, medium-density utilization, and low-density utilization. The color combination includes cool colors and warm colors; S211. Combine different sub-categories under the room style category, and respectively match the sub-categories of space utilization rate and color combination to generate n design preview pictures of the room each; S212. Statistically analyze the browsing time of the current user on the generated design preview pictures of different rooms. Based on the browsing time of the current user on each sub-category of different room styles, space utilization rates, and color combinations, determine the priority of each sub-category of the current user's room style, space utilization rate, and color combination. The specific steps are as follows: Statistically analyze the browsing times of different sub - categories under the room style category, the browsing times of different sub - categories under the space utilization rate category, and the browsing times of different sub - categories under the color combination category respectively. Then sort them in descending order and number them sequentially to obtain the descending order of the priorities of each sub - category of the current user's room style, space utilization rate, and color combination from high to low.

[0023] It should be noted that the value of n is generally set to 2. By statistically analyzing the browsing times under the room style, space utilization rate, and color combination, it is used to assist in understanding and predicting the user's emotional tendency, determining the current user's aesthetic requirements and room design requirements, and providing data support for establishing the specific acceptance model of the current user. By sorting the browsing times in descending order and numbering them sequentially, the data with the highest priority is numbered 1, which is convenient for subsequent design drawing scoring.

[0024] S22. Establish the specific acceptance model of the current user based on the priorities of the current user's room style, space utilization rate, and color combination; S221. Set the weights of the three major categories of room style, space utilization rate, and color combination, and combine the priority numbering order of each sub - category of the current user's room style, space utilization rate, and color combination to establish the specific acceptance model of the current user. The specific steps and algorithm formula are as follows: ; Among them, respectively represent the score proportions of room style, space utilization rate, and color combination, respectively represent the numbers of the sub - categories of the current user in the room style, space utilization rate, and color combination, is the specific score.

[0025] It should be noted that respectively represent the score proportions of room style, space utilization rate, and color combination, usually set to 70, 15, 15, indicating that the room style has the greatest impact on the user's satisfaction during the entire design process. The values of can also be adjusted according to actual needs, so as to achieve different emphases on room design scoring. By using the reciprocals of the sub - category numbers, the numbers are converted into scores, so that the sub - categories with smaller numbers in the current user's priority numbering have higher scores, which conforms to the judgment logic that the higher the priority, the higher the score.

[0026] Example 2, S3. Collect the historical design CAD drawings of the current designer, extract the design elements in the design drawings and establish a material library. According to the preferred style of the current user, combined with the CAD drawing of the room to be designed currently, randomly fill the materials associated with the material library, and generate the original 3D model drawing through BIM technology for the designer to optimize; S31. Establish a drawing material library for the current designer based on MySQL, and create separate groups for materials of different room styles. S32. Collect the historical CAD drawings of the current designer, traverse each CAD drawing, and divide the design materials of different room styles into groups of different room styles according to the type markings on the drawings. S33. Combine the room style, space utilization rate, and color combination priority of the current user to screen the materials in the material library, randomly associate and fill the materials according to the CAD drawing of the room to be designed currently, and generate the original 3D model drawing through BIM technology. S331. Based on the color combination priority of the current user, select the color combination subclass ranked first as the judgment basis, traverse the material attributes in the room style group of the current material library, and retain the materials that match the judgment basis color combination. The algorithm formula is: ; Among them, represents the retained room style design materials, d and D respectively represent a single material in the material library and the set of all materials in the room style material library, is the color matching function, which judges whether the material d conforms to the color combination priority function; It should be noted that is the color combination subclass ranked first selected by the current user. Through the first-level screening of the materials in the material library based on the user's color combination priority, the materials that meet the user's color combination priority can be retained, which is convenient for subsequent random material filling.

[0027] S332. Based on the CAD drawing to be designed currently, determine the three-dimensional space size of the room, including length, width, and height, and use this as the basic space for filling. Based on the bottom area of the materials in the material library, combine the available bottom area of the room to perform associated matching of the materials in the material library. The algorithm formula is: ; Among them, is the available bottom area of the current room, is the initial bottom area of the current room, is the bottom area of the materials already filled in the current room, represents the fillable materials, q, respectively represent a single material in the retained room style design materials and the retained room style design material library, represents the bottom area of the currently selected single material, and obtain the initial design CAD sketch of the current room through material filling; It should be noted that by filling the current room based on the floor area of the room drawing and the floor area of a single material in the reserved room style design materials, an initial design sketch of the room that meets the user's priority requirements can be quickly obtained; S333. Import the initial design CAD sketch of the current room into the BIM software, generate a 3D drawing and delete the volume interference materials. Through the space calculation function in the BIM software, calculate the space utilization rate in the current initial design CAD sketch. The algorithm formula is: ; where K represents the space utilization rate in the current initial design CAD sketch, respectively represent the occupied volume of the material and the total volume of the room; Obtain the space occupancy threshold based on the space utilization rate priority of the current user , and compare the space utilization rate in the current initial design CAD sketch: When , retain the current initial design CAD sketch as the design sketch; When , randomly delete the filled room materials, repeatedly calculate the updated space utilization rate K until , retain the updated initial design CAD sketch as the design sketch.

[0028] It should be noted that by based on the color combination priority of the current user, the compliant materials in the current designer materials can be retained, the current room can be filled with the compliant materials, and the sketch can be optimized based on the space utilization rate priority of the current user. Finally, a design sketch is obtained to facilitate the designer's subsequent modification and adjustment. The random filling of materials can break the designer's inherent thinking mode, introduce new combinations and layout methods, thereby inspiring the designer's creativity; S4. For the optimized drawing, conduct a preliminary evaluation and determination through the specific acceptance model of the current user to obtain an objective score of the design scheme; S41. Collect the optimized drawing of the designer, import the drawing into the BIM software to calculate the space utilization rate of the drawing, and obtain the color combination attributes of the design materials. Combine the space utilization rate and the arrangement order of each small category of color combination of the current user to obtain the space utilization rate number and the color combination number of the current drawing; S42. Export the 2D image of the current drawing through the BIM software. Based on the trained room style recognition model, identify the room style of the current drawing. Combine the arrangement order of the small categories of the room style of the current user to obtain the room style number of the current drawing. Combine the specific acceptance model of the current user to calculate the specific score of the current drawing ; When When it is greater than 85, it means that the current design drawing meets the requirements of the current user, and the design drawing submission is allowed. When ≤85, it means that the current design drawing does not meet the requirements of the current user, and it needs to be modified again. Then repeat steps S41 to S42 to perform a specificity score on the redesigned drawing until the specificity score is greater than 85.

[0029] It should be noted that by specifically accepting the design drawings submitted by the designer, it can be ensured that the current design drawings initially meet the needs of the user. Combining the specific acceptance models of different users can make the design drawings meet the needs of different users, ensure the high quality of the design scheme, and improve user satisfaction.

[0030] An environmental art design system based on BIM technology includes a data collection module, a specific acceptance model establishment module, an original drawing generation module, and a final drawing determination module. The data collection module is used to collect the CAD floor plan drawings of the room to be designed. Combining the basic requirements of the drawings, it generates different room design preview schemes through AI technology, including different room styles, space utilization rates, and color combinations, and trains a room style recognition model based on a convolutional neural network. The specific acceptance model establishment module determines the preferred style of the current user based on the user's stay time for the preview scheme, including room style, space utilization rate, and color combination, and establishes a specific acceptance model for the current user. The original drawing generation module extracts the design elements in the design drawings based on the historical design CAD drawings of the current designer and establishes a material library. According to the preferred style of the current user, combined with the CAD floor plan drawings of the current room to be designed, it randomly fills the associated materials in the material library and generates an original three-dimensional model drawing through BIM technology to obtain an initial design CAD sketch. The final drawing determination module, based on the designer's final design drawing, combines BIM technology with the specific acceptance model of the current user to preliminarily evaluate and determine the designer's final design drawing, obtains an objective score for the design scheme, and retains the design drawing that meets the scoring requirements as the final design drawing of the current user.

[0031] In summary, the present invention quickly generates room design preview schemes of various types by combining AI technology, and based on the user's stay time for the preview scheme, establishes a specific acceptance model for the design drawings of the current user to objectively score the designer's design drawings, so as to ensure that the design drawings initially meet the design requirements of the current user, avoid the low efficiency caused by repeated communication, and enhance the practicability and functionality. By using a specific acceptance model based on the current user to perform a specific score on the design drawings submitted by the designer, ensuring that only the design drawings that meet the preliminary scoring requirements can be sent to the user, and modifying the design drawings that do not meet the preliminary scoring requirements to ensure that the design drawings meet the personalized needs and preferences of the current user, reducing the repeated communication between the designer and the user, and reducing the communication cost and time consumption.

[0032] The above are only the preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. An environmental art design method based on BIM technology, characterized in that: The method comprises the following steps: S1. Collect CAD plan drawings of the area to be designed, combine the basic requirements of the drawings, and use AI technology to generate different room design preview plans, including different room styles, space utilization, and color combinations; S2. Based on the user's stay time on the preview plan, determine the current user's preferred style, including room style, space utilization and color combination, and establish a specific acceptance model; S3. Collect the historical design CAD drawings of the current designer, extract the design elements in the design drawings and establish a material library. According to the current user's preferred style and the current CAD drawings of the room to be designed, randomly fill the material library with related materials, and generate the original 3D model drawings through BIM technology for the designer to optimize; S4. For the optimized drawings, a preliminary evaluation and judgment is performed through the current user's specific acceptance model to obtain an objective score for the design solution.

2. The environmental art design method based on BIM technology according to claim 1 is characterized in that: The S1 comprises the following steps: S11, collecting CAD plan drawings of the area to be designed, and determining the building type based on the drawing information, including the type, layout, and size of the indoor rooms of the building; S12. Based on room types, collect design case pictures of different room styles, different space utilizations, and different color combinations under different room types, and establish a model through generative adversarial network training preview; S13, based on the current room picture to be designed and the room size, generate the current room design preview images of different styles through the trained generator, and annotate the room style, space utilization, and color combination; S14. Based on the collected case pictures of different room styles, the case pictures of different room styles are divided into training set, test set and validation set, and the room style recognition model is trained through convolutional neural network.

3. The environmental art design method based on BIM technology according to claim 2 is characterized in that: The S2 comprises the following steps: S21, counting the browsing time of users on the generated preview images of different room designs, and determining the priority of each subcategory in room style, space utilization, and color combination; S22. Establish a specific acceptance model for the current user based on the current user's room style, space utilization, and color combination priorities.

4. The environmental art design method based on BIM technology according to claim 3 is characterized in that: The S21 comprises the following steps: S211, combining different subcategories under the room style category, respectively matching the space utilization rate and color combination subcategories to generate n room design preview images; S212, counting the browsing time of the current user on the generated preview images of different room designs, and determining the priority of each subcategory of the current user's room style, space utilization, and color combination based on the browsing time of the current user on each subcategory of different room styles, space utilization, and color combinations, wherein the specific steps are as follows: The browsing time of different subcategories under the room style category, the browsing time of different subcategories under the space utilization category, and the browsing time of different subcategories under the color combination category are counted separately, and they are arranged in descending order and numbered in sequence to obtain the priority order of each subcategory of the current user's room style, space utilization, and color combination from high to low.

5. The environmental art design method based on BIM technology according to claim 4 is characterized in that: The S22 comprises the following steps: S221, setting the weights of the three major categories of room style, space utilization, and color combination, and combining the priority numbering order of each subcategory of the current user's room style, space utilization, and color combination, to establish a current user-specific acceptance model, the specific steps and algorithm formula are as follows: ； in, They represent the proportion of room style, space utilization and color combination. They represent the sub-category numbers of the current user in terms of room style, space utilization, and color combination. Score for specificity.

6. The environmental art design method based on BIM technology according to claim 4 is characterized in that: The S3 comprises the following steps: S31. Build the current designer's drawing material library based on MySQL, and group the materials of different room styles; S32, collecting the historical CAD drawings of the current designer, traversing each CAD drawing, and dividing different room style design materials into different room style groups according to the type markings on the drawings; S33. Based on the current user's room style, space utilization, and color combination priority, the materials in the material library are screened, and according to the current CAD drawing of the room to be designed, the associated materials are randomly filled, and the original three-dimensional model drawing is generated through BIM technology.

7. The environmental art design method based on BIM technology according to claim 6 is characterized in that: The S33 comprises the following steps: S331. Based on the color combination priority of the current user, select the color combination subcategory ranked first as the basis for determination, traverse the material attributes in the room style grouping in the current material library, and retain the material that matches the color combination of the determination basis. The algorithm formula is: ； in, represents the reserved room style design material, d and D represent a single material in the material library and all material collections in the room style material library respectively. is a color matching function that determines whether material d meets the color combination priority Function of S332. Based on the current CAD drawing to be designed, determine the three-dimensional space size of the room, including length, width, and height, and use this as the basic space for filling. Based on the bottom area of ​​the material in the material library and the available bottom area of ​​the room, perform association matching of the materials in the material library. The algorithm formula is: ； in, is the available floor area of ​​the current room, is the initial bottom area of ​​the current room, The bottom area of ​​the current room that has been filled with materials. Represents fillable material, q, They represent a single material in the reserved room style design material and a reserved room style design material library. Represents the bottom area of ​​the currently selected single material, and the initial design CAD sketch of the current room is obtained by filling the material; S333, import the initial design CAD sketch of the current room into the BIM software, generate a three-dimensional drawing and delete the volume interference material, and calculate the space utilization rate in the current initial design CAD sketch through the space calculation function in the BIM software. The algorithm formula is: ； Where K represents the space utilization in the current initial design CAD sketch, They represent the volume occupied by the material and the total volume of the room respectively; Get the space occupancy threshold based on the current user's space utilization priority , and compare the space utilization in the current initial design CAD sketch: when When the initial design CAD sketch is retained as the design sketch; when , randomly delete the filled room materials and repeatedly calculate the updated space utilization K until , retain the updated initial design CAD sketch as the design sketch.

8. The environmental art design method based on BIM technology according to claim 5 is characterized in that: The S4 comprises the following steps: S41. Collect the drawings optimized by the designer, import the drawings into the BIM software to calculate the space utilization of the drawings, and obtain the color combination attributes of the design materials. Combined with the current user's space utilization and the arrangement order of each subcategory of the color combination, obtain the space utilization number and color combination number of the current drawing; S42. Export the two-dimensional image of the current drawing through the BIM software, identify the room style of the current drawing based on the trained room style recognition model, obtain the room style number of the current drawing in combination with the arrangement order of the room style subcategories of the current user, and calculate the specificity score of the current drawing in combination with the current user specific acceptance model. ; S43, when When it is >85, it means that the current design drawing meets the requirements of the current user and the design drawing submission is allowed; when When ≤85, it means that the current design drawing does not meet the requirements of the current user and needs to be modified again, and steps S41 to S42 are repeated to perform specificity scoring on the modified design drawing until the specificity score is greater than 85.

9. An environmental art design system based on BIM technology, characterized in that: The system adopts the environmental art design method based on BIM technology as described in any one of claims 1 to 8, including a data acquisition module, a specific acceptance model establishment module, an original drawing generation module, and a final draft determination module; The data acquisition module is used to collect CAD plan drawings of the rooms to be designed, and generate different room design preview plans through AI technology in combination with the basic requirements of the drawings, including different room styles, space utilization, and color combinations, and train a room style recognition model based on a convolutional neural network; The specific acceptance model building module determines the current user's preferred style based on the user's stay time on the preview plan, including room style, space utilization and color combination, and builds the current user's specific acceptance model; The original drawing generation module extracts the design elements in the design drawings and establishes a material library based on the historical design CAD drawings of the current designer. According to the current user's preferred style and the current CAD drawings of the room to be designed, the material library is randomly filled with related materials, and the original 3D model drawings are generated through BIM technology to obtain the initial design CAD sketch; The final draft judgment module, based on the designer's final design drawing, combines BIM technology with the current user's specific acceptance model, conducts a preliminary evaluation and judgment on the designer's final design drawing, obtains an objective score for the design scheme, and retains the design drawing that meets the scoring requirements as the current user's final design drawing.

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