A parametric optimization method and system for architectural decoration components based on BIM technology

Abstract

The invention discloses a parametric optimization method and system for building decoration components based on BIM technology, and the invention relates to the technical field of building components. The invention processes parameter data through a building information processing module, divides the parameter data into a plurality of processing arrays during the processing, analyzes two adjacent processing arrays, and determines the array coordinates of characters between the two adjacent processing arrays by defining indexes and subscripts of different starting numbers. In this way, the positional relationship of characters in the two adjacent processing arrays can be obtained, and then a processing base sequence of the two adjacent processing arrays is obtained by aggregating a plurality of array coordinates of characters being 1 and a plurality of array coordinates of characters being 0. In this way, the positional relationship of characters is hidden in the processing base sequence, and the security and difficulty of cracking of the data after the parameter data conversion are ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of building components, and in particular to a parametric optimization method and system for building decoration components based on BIM technology. Background Art

[0002] In the process of the construction industry's continuous pursuit of innovation and efficiency, the design and construction of architectural decoration projects are facing increasing complexity and refinement requirements. As the key elements in shaping the unique style and function of buildings, the optimization of the design and construction of architectural decoration components is of great significance to improving building quality, reducing costs and improving overall efficiency. The emergence of BIM (Building Information Modeling) technology has brought revolutionary changes to the field of architectural decoration. BIM technology uses digital three-dimensional models as a carrier to integrate detailed information at all stages of the building's life cycle, making the design, analysis and optimization of architectural decoration components more accurate and efficient. The parametric optimization method of architectural decoration components based on BIM technology achieves an ideal balance between function, aesthetics and cost in architectural decoration by accurately adjusting and optimizing various parameters of components. In the process of parametric optimization of architectural decorative components, accurate collection of component parameter data is the basis and key to the entire optimization process. These parameter data cover multiple aspects, including component geometric dimensions (such as length, width, height, curvature, etc.), material properties (density, color, texture, thermal conductivity, etc.), spatial position information, and connection relationships with other components. For example, when designing a complex indoor decorative ceiling system, it is necessary to accurately collect the shape parameters, weight parameters, and connection point parameters with the supporting structure of each ceiling component. These data are crucial for optimizing the structural stability, aesthetics, and construction feasibility of the ceiling. However, in the existing technology, although there are certain safeguards for the accuracy of data transmission of building decoration component parameters, the privacy of data transmission has not been given enough attention. In today's digital and information age, the data security of construction projects is extremely important, especially the building decoration component parameter data involving commercial secrets and sensitive information. These data may contain important contents such as the company's unique design concept, application information of new materials, and project cost budget. Once leaked, it will bring immeasurable losses to the company. In order to solve the above problems, the present invention proposes a solution. Summary of the invention

[0003] The purpose of the present invention is to provide a parametric optimization method and system for architectural decoration components based on BIM technology, in order to solve the problems raised in the above background technology.

[0004] The purpose of the present invention can be achieved by the following technical solutions: A parametric optimization method for building decoration components based on BIM technology, comprising the following steps: Step 1: The building information acquisition module obtains parameter data of all decorative components in the target building, generates component information data of the target building according to the obtained parameter data of all decorative components in the target building, and transmits the component information data of the target building to the building information processing module; Step 2: After receiving the transmitted component information data of the target building, the building information processing module processes the component information data according to a preset processing rule to obtain a component processing file of the target building, and transmits the component processing file to the information restoration unit; Step 3: After receiving the component processing file of the target building, the information restoration unit restores the component processing file to obtain the component information data of the target building, and transmits the component information data to the parameter optimization unit.

[0005] Furthermore, the parameter data includes size parameter data, shape parameter data, angle parameter data, curvature parameter data, weight parameter data, moment of inertia parameter data, material type data, color data, texture data, gloss data, physical performance parameter data, space and position relationship parameter data, function and performance parameter data, and construction and process parameter data.

[0006] Furthermore, in step 2, the processing rules for the component processing files of the target building are as follows: S11: taking every four characters in the component information data as a processing array in order from left to right, and obtaining a plurality of processing arrays; According to the position of each processing array in the component information data, the obtained processing arrays are marked as A1, A2, ..., Aa in order from left to right, where a≥1; S12: Obtain the array coordinates D1(1,0), D2(2,1), D3(3,2), D4(4,3) of the four characters B1, B2, B3, B4 in the processing array A1, and the array coordinates F1(1,0), F2(2,1), F3(3,2), F4(4,3) of the four characters C1, C2, C3, C4 in A2 according to the preset acquisition rules; S13: Generate a processing base sequence of the processing array A2 according to a preset generation rule; S14: according to S12 to S13, the processing system sequences of the processing arrays A3, A4, ..., Aa are obtained in sequence, wherein the processing system sequence of the processing array A3 is obtained based on the first and second processing coordinates of the processing array A2 according to the processing array A3, and the processing system sequences of the processing arrays A4, A5, ..., Aa are obtained in the same manner; S15: sequentially concatenate the processing sequence of processing array A1 and processing array A2 to obtain the component starting sequence of the target building, and then generate the component processing file of the target building according to the component starting sequence and the processing sequence of processing arrays A2, A3, ..., Aa.

[0007] Furthermore, after completing step 3, you need to perform the following steps: After receiving the transmitted component information data of the target building, the parameter unit uses professional BIM modeling software to construct a three-dimensional BIM model of the target building.

[0008] A parametric optimization system for building decoration components based on BIM technology, comprising: A building information acquisition module is used to obtain parameter data of all decorative components in the target building and then generate component information data of the target building based on the parameter data; A building information processing module is used to process the component information data of the target building according to a preset processing rule after receiving the component information data of the target building to obtain a component processing file of the target building; An information restoration unit, used for restoring the component processing file of the target building after receiving the component processing file to obtain the component information data of the target building; A parameter optimization unit is used to construct a three-dimensional BIM model of the target building using professional BIM modeling software (such as Revit) after receiving the component information data of the target building; Technical personnel optimize the parameters of several decorative components in the target building based on the 3D BIM model of the target building.

[0009] The present invention provides a method and system for parametric optimization of building decoration components based on BIM technology. Compared with the prior art, it has the following beneficial effects: After the parameter data of all decorative components of the target building are obtained, the present invention processes the parameter data through a building information processing module. During the processing, the parameter data are divided into a number of processing arrays, and two adjacent processing arrays are analyzed. The array coordinates of the characters between the two adjacent processing arrays are determined by defining indexes and subscripts of different starting numbers. In this way, the positional relationship of the characters in the two adjacent processing arrays can be obtained, and then the processing base sequence of the two adjacent processing arrays is obtained by aggregating a number of array coordinates with the character being 1 and a number of array coordinates with the character being 0. In this way, the positional relationship of the characters is hidden in the processing base sequence. On the one hand, the security and difficulty of cracking the data after the parameter data conversion are guaranteed, and on the other hand, the parameter data transmission process is not directly transmitted in plain text, which further guarantees the security of the transmitted parameter data. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] Figure 1 Flow chart of the method of the present invention Figure 2 It is a system block diagram of the present invention. DETAILED DESCRIPTION

[0011] 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.

[0012] See also Figure 1 , Figure 2 , the present application provides a method and system for parametric optimization of building decoration components based on BIM technology, including a building information acquisition module, a building information processing module and a building information optimization cloud; The building information acquisition module is used to obtain parameter data of all decorative components in the target building, wherein the parameter data includes but is not limited to size parameter data, shape parameter data, angle parameter data, curvature parameter data, weight parameter data, moment of inertia parameter data, material type data, color data, texture data, gloss data, physical performance parameter data, space and position relationship parameter data, function and performance parameter data and construction and process parameter data; The size parameter data includes length, width, height, diameter, radius, etc., which are used to describe the size of the decorative component; the shape parameter data is used to describe the specific shape characteristics of the decorative component, such as basic shape parameters such as rectangle, circle, triangle, polygon, and more complex curve shape parameters (such as the control point coordinates of the Bezier curve, etc.); the angle parameter data includes the inclination angle and rotation angle of the decorative component; the curvature parameter data is for the decorative component with a curved surface, and the curvature parameter is used to describe the curvature degree of the curve; The weight parameter data refers to the actual weight of the decorative component; the moment of inertia parameter data is used to measure the component's ability to resist rotation and is related to the shape and mass distribution of the component; Material type data includes but is not limited to solid wood, steel, stone, glass, ceramics, fabric, plastic, etc.; color data refers to the surface color of decorative components; texture data refers to the texture characteristics of the material surface; gloss data is used to reflect the degree of light reflection of the material surface; physical performance parameter data includes but is not limited to the material's strength, hardness, elastic modulus, thermal expansion coefficient, thermal conductivity, sound insulation coefficient, etc. These parameters are very important for evaluating the performance and durability of decorative components under different environmental conditions; The spatial and positional relationship parameter data include the three-dimensional coordinate position in the building space, the connection relationship with other components and the relative position relationship. The three-dimensional coordinate position in the building space is used to determine the specific position of the decorative component in the building; the connection relationship with other components is used to describe the connection method (such as welding, bolt connection, bonding, etc.) between the decorative component and the adjacent components, the location and number of connection points, etc.; the relative position relationship is used to indicate the relative position with other surrounding decorative components or building structures, such as distance, orientation, etc.; Functional and performance parameter data include lighting performance parameters, acoustic performance parameters, fire performance parameters and waterproof performance parameters; lighting performance parameters are for decorative components with lighting functions, such as windows, skylights, etc., including parameters such as lighting area, light transmittance, and shading coefficient. These parameters affect the natural lighting effect and temperature regulation of the room; Acoustic performance parameters include but are not limited to sound absorption coefficient, sound insulation, etc., which are used to evaluate the sound absorption and isolation capabilities of decorative components; fire performance parameters include but are not limited to fire rating, combustion performance, etc., which are used to measure the fire resistance of decorative components in the event of a fire; waterproof performance parameters are for decorative components in humid environments such as bathrooms and kitchens, and waterproof performance parameters include but are not limited to waterproof rating, permeability coefficient, etc.; The construction and process parameter data include processing parameters, installation parameters, construction time parameters, proportion and scale parameters and detail design parameters; processing parameters are used to describe the production process of decorative components, including cutting size, welding parameters, coating process, etc.; installation parameters include installation sequence, installation angle, fixing method, etc.; construction time parameters include estimated processing time, installation time, etc.; proportion and scale parameters are used to characterize the proportional relationship between the various parts of the decorative components and the scale coordination with the overall space; detail design parameters include but are not limited to the design parameters of details such as patterns, patterns, carvings, etc. on the decorative components; The building information acquisition module generates component information data of the target building according to the acquired parameter data of all decorative components in the target building, and transmits the component information data of the target building to the building information processing module; The building information processing module is used to process the building information data before transmission to ensure the privacy of the transmission process. After receiving the component information data of the target building to be transmitted, the building information processing module processes the component information data according to the preset processing rules to obtain the component processing file of the target building. The processing rules are as follows: S11: taking every four characters in the component information data as a processing array in order from left to right, and obtaining a plurality of processing arrays; According to the position of each processing array in the component information data, the obtained processing arrays are marked as A1, A2, ..., Aa in order from left to right, where a≥1; S12: According to the preset acquisition rules, the array coordinates D1(1,0), D2(2,1), D3(3,2), D4(4,3) of the four characters B1, B2, B3, B4 in the processing array A1 and the array coordinates F1(1,0), F2(2,1), F3(3,2), F4(4,3) of the four characters C1, C2, C3, C4 in A2 are acquired. The acquisition rules are as follows: S121: The four characters constituting the processing array A1 are marked as B1, B2, B3, and B4 in order from left to right; the four characters constituting the processing array A2 are marked as C1, C2, C3, and C4 in order from left to right; S122: Define the starting number of the index as 1, and define the starting number of the subscript as 0. Then, according to the positions of the characters B1, B2, B3, and B4 in the processing array A1, the array coordinates of the characters B1, B2, B3, and B4 can be determined to be D1 (1, 0), D2 (2, 1), D3 (3, 2), and D4 (4, 3) in sequence; S123: According to S122, the array coordinates F1(1,0), F2(2,1), F3(3,2), F4(4,3) of the characters C1, C2, C3, and C4 are determined in sequence; S13: Generate a processing sequence of the processing array A2 according to a preset generation rule, the generation rule is as follows: S131: Obtain the array coordinates of all characters that are 1 from characters B1, B2, B3, B4, C1, C2, C3, C4, and re-label them as G1(H1, I1), G2(H2, I2), ..., Gg(Hg, Ig), M1(J1, K1), M2(J2, K2), ..., Mm(Jm, Km), 1≤g+m≤8, where G1, G2, ..., Gg are the array coordinates of the characters that are 1 in characters B1, B2, B3, B4, and M1, M2, ..., Mm are the array coordinates of the characters that are 1 in characters C1, C2, C3, C4; S132: Perform weighted average aggregation on the array coordinates of all characters with values ​​of 1 in characters B1, B2, B3, B4, C1, C2, C3, and C4 to obtain the first processing coordinate Q1 (N1, O1) of the processing array A2 based on the processing array A1, wherein the calculation formulas of N1 and O1 are respectively: , Where ɑ1 and ɑ2 are the preset first and second adjustment factors, respectively, which are used to distinguish and standardize the order of the two processing arrays; S133: Obtain the array coordinates of all characters that are 0 from characters B1, B2, B3, B4, C1, C2, C3, and C4 according to S131, and perform weighted average aggregation on the array coordinates of all characters that are 0 according to S132 to obtain the second processing coordinate Q2 (N2, O2) of the processing array A2 based on the processing array A1. S134: According to the first processing coordinate Q1 (N1, O1), the horizontal and vertical coordinates are sequentially spliced ​​to obtain a first processing sequence of the processing array A2; according to the second processing coordinate Q2 (N2, O2), the horizontal and vertical coordinates are sequentially spliced ​​to obtain a second processing sequence of the processing array A2; S135: splicing the first processing number sequence and the second processing number sequence in order, and performing binary conversion on the spliced ​​data to obtain a processing number sequence of the processing array A2; S14: according to S12 to S13, the processing system sequences of the processing arrays A3, A4, ..., Aa are obtained in sequence, wherein the processing system sequence of the processing array A3 is obtained based on the first and second processing coordinates of the processing array A2 according to the processing array A3, and the processing system sequences of the processing arrays A4, A5, ..., Aa are obtained in the same manner; S15: sequentially concatenating the processing sequence of the processing array A1 and the processing array A2 to obtain a component starting sequence of the target building, and then generating a component processing file of the target building according to the component starting sequence and the processing sequence of the processing arrays A2, A3, ..., Aa; The building information processing module transmits the component processing files of the target building to the building information management cloud; The building information optimization cloud is used to receive and store component information data of a target building. The building information optimization cloud includes an information restoration unit and a parameter optimization unit. After receiving the component processing file of the target building, the building information optimization cloud restores the component processing file to obtain the component information data of the target building, and transmits the component information data to the parameter optimization unit. The parameter optimization unit is installed with BIM software. After receiving the transmitted component information data of the target building, the parameter unit uses professional BIM modeling software (such as Revit) to construct a three-dimensional BIM model of the target building. Technical personnel optimize the parameters of several decorative components in the target building based on the 3D BIM model of the target building.

[0013] Some of the data in the above formulas are dimensionless and numerically calculated. Meanwhile, the contents not described in detail in this specification belong to the prior art known to those skilled in the art.

[0014] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. 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 method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A parametric optimization method for building decoration components based on BIM technology, characterized in that: The following steps are involved: Step 1: The building information acquisition module obtains parameter data of all decorative components in the target building, generates component information data of the target building according to the obtained parameter data of all decorative components in the target building, and transmits the component information data of the target building to the building information processing module; Step 2: After receiving the transmitted component information data of the target building, the building information processing module processes the component information data according to a preset processing rule to obtain a component processing file of the target building, and transmits the component processing file to the information restoration unit; Step 3: After receiving the component processing file of the target building, the information restoration unit restores the component processing file to obtain the component information data of the target building, and transmits the component information data to the parameter optimization unit.

2. The parametric optimization method for building decoration components based on BIM technology according to claim 1 is characterized in that: The parameter data includes size parameter data, shape parameter data, angle parameter data, curvature parameter data, weight parameter data, moment of inertia parameter data, material type data, color data, texture data, gloss data, physical performance parameter data, space and position relationship parameter data, function and performance parameter data and construction and process parameter data.

3. The parametric optimization method for building decoration components based on BIM technology according to claim 1 is characterized in that: In step 2, the processing rules for the component processing files of the target building are as follows: S11: taking every four characters in the component information data as a processing array in order from left to right, and obtaining a plurality of processing arrays; According to the position of each processing array in the component information data, the obtained processing arrays are marked as A1, A2, ..., Aa in order from left to right, where a≥1; S12: Obtain the array coordinates D1(1,0), D2(2,1), D3(3,2), D4(4,3) of the four characters B1, B2, B3, B4 in the processing array A1, and the array coordinates F1(1,0), F2(2,1), F3(3,2), F4(4,3) of the four characters C1, C2, C3, C4 in A2 according to the preset acquisition rules; S13: Generate a processing base sequence of the processing array A2 according to a preset generation rule; S14: according to S12 to S13, the processing system sequences of the processing arrays A3, A4, ..., Aa are obtained in sequence, wherein the processing system sequence of the processing array A3 is obtained based on the first and second processing coordinates of the processing array A2 according to the processing array A3, and the processing system sequences of the processing arrays A4, A5, ..., Aa are obtained in the same manner; S15: sequentially concatenate the processing sequence of processing array A1 and processing array A2 to obtain the component starting sequence of the target building, and then generate the component processing file of the target building according to the component starting sequence and the processing sequence of processing arrays A2, A3, ..., Aa.

4. The parametric optimization method for building decoration components based on BIM technology according to claim 3 is characterized in that: The S12, the acquisition rules of the array coordinates D1 (1, 0), D2 (2, 1), D3 (3, 2), D4 (4, 3) of the four characters B1, B2, B3, B4 in the processing array A1, and the array coordinates F1 (1, 0), F2 (2, 1), F3 (3, 2), F4 (4, 3) of the four characters C1, C2, C3, C4 in A2 are as follows: S121: The four characters constituting the processing array A1 are marked as B1, B2, B3, and B4 in order from left to right; the four characters constituting the processing array A2 are marked as C1, C2, C3, and C4 in order from left to right; S122: Define the starting number of the index as 1, and define the starting number of the subscript as 0. Then, according to the positions of the characters B1, B2, B3, and B4 in the processing array A1, the array coordinates of the characters B1, B2, B3, and B4 can be determined to be D1 (1, 0), D2 (2, 1), D3 (3, 2), and D4 (4, 3) in sequence; S123: According to S122, the array coordinates of the characters C1, C2, C3, and C4 are determined in sequence: F1 (1, 0), F2 (2, 1), F3 (3, 2), and F4 (4, 3).

5. The parametric optimization method for building decoration components based on BIM technology according to claim 3 is characterized in that: The generation rule of the processing base sequence of the processing array A2 in S13 is as follows: S131: Obtain the array coordinates of all characters that are 1 from characters B1, B2, B3, B4, C1, C2, C3, C4, and re-label them as G1(H1, I1), G2(H2, I2), ..., Gg(Hg, Ig), M1(J1, K1), M2(J2, K2), ..., Mm(Jm, Km), 1≤g+m≤8, where G1, G2, ..., Gg are the array coordinates of the characters that are 1 in characters B1, B2, B3, B4, and M1, M2, ..., Mm are the array coordinates of the characters that are 1 in characters C1, C2, C3, C4; S132: Perform weighted average aggregation on the array coordinates of all characters with values ​​of 1 among characters B1, B2, B3, B4, C1, C2, C3, and C4 to obtain the first processing coordinate Q1 (N1, O1) of the processing array A2 based on the processing array A1; S133: Obtain the array coordinates of all characters that are 0 from characters B1, B2, B3, B4, C1, C2, C3, and C4 according to S131, and perform weighted average aggregation on the array coordinates of all characters that are 0 according to S132 to obtain the second processing coordinate Q2 (N2, O2) of the processing array A2 based on the processing array A1. S134: According to the first processing coordinate Q1 (N1, O1), the horizontal and vertical coordinates are sequentially spliced ​​to obtain a first processing sequence of the processing array A2; according to the second processing coordinate Q2 (N2, O2), the horizontal and vertical coordinates are sequentially spliced ​​to obtain a second processing sequence of the processing array A2; S135: splicing the first processing number sequence and the second processing number sequence in order, and performing binary conversion on the spliced ​​data to obtain a processing number sequence of the processing array A2.

6. The parametric optimization method for building decoration components based on BIM technology according to claim 5 is characterized in that: The calculation formulas of S132, N1 and O1 are: , where ɑ1 and ɑ2 are the preset first and second adjustment factors respectively.

7. The parametric optimization method for architectural decoration components based on BIM technology according to claim 1 is characterized in that: After completing step 3, you need to perform the following steps: After receiving the transmitted component information data of the target building, the parameter unit uses professional BIM modeling software to construct a three-dimensional BIM model of the target building.

8. A parametric optimization system for building decoration components based on BIM technology, characterized in that: include: A building information acquisition module is used to obtain parameter data of all decorative components in the target building and then generate component information data of the target building based on the parameter data; A building information processing module is used to process the component information data of the target building according to a preset processing rule after receiving the component information data of the target building to obtain a component processing file of the target building; An information restoration unit, used for restoring the component processing file of the target building after receiving the component processing file to obtain the component information data of the target building; A parameter optimization unit is used to construct a three-dimensional BIM model of the target building using professional BIM modeling software after receiving the component information data of the target building; Technical personnel optimize the parameters of several decorative components in the target building based on the 3D BIM model of the target building.

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