Acoustic material recommendation method and system based on indoor model

Abstract

The invention relates to the technical field of architectural acoustic materials, in particular to an acoustic material recommendation method and system based on an indoor model, and the method comprises the steps: constructing a three-dimensional model according to an architectural plane graph, and carrying out the partitioning according to purposes to obtain a target region; adding a candidate acoustic material for the target area; determining the position of the sound source in the three-dimensional model; adding household articles with matched purposes to each target area according to user requirements; under the sound source sound production condition, multi-area sound field distribution is synchronously collected based on candidate acoustic material performance parameters; and screening adaptive acoustic materials from the candidate materials in combination with sound field distribution and acoustic requirements of each area. According to the invention, through scene modeling and data driving screening, the acoustic material is matched with the indoor scene, the function requirement and the personalized demand, the scientificity and the accuracy of material selection are improved, the functionality and the comfort degree of the indoor acoustic environment are guaranteed, and an efficient and feasible solution is provided for indoor sound field optimization.

Description

Technical Field

[0001] This invention relates to the field of architectural acoustic materials technology, and in particular to a method and system for recommending acoustic materials based on an indoor model. Background Technology

[0002] To meet the auditory experience and functional requirements of indoor environments, a digital indoor acoustic model is established to address indoor sound field optimization and acoustic material selection. Current technologies use architectural floor plans to build models and then select acoustic materials. However, this approach fails to consider that various furnishings will be added to the room during use, affecting sound propagation. Furthermore, different rooms require different acoustic effects, and it's difficult to tailor solutions to the individual needs of different users.

[0003] Therefore, it is necessary to propose a method and system for recommending acoustic materials based on indoor models to solve the above problems. Summary of the Invention

[0004] The purpose of this invention is to provide a method and system for recommending acoustic materials based on an indoor model, in order to solve the problems that when a room is in use, various furniture items will be added to the room, which will affect the propagation of sound. Moreover, the required acoustic effects are different for rooms with different uses, and it is difficult to reflect the personalized needs of different users.

[0005] To achieve the above objectives, the present invention provides the following technical solution: An acoustic material recommendation method based on an indoor model, the method comprising: A 3D model is constructed based on the building floor plan. The 3D model is then divided into sections based on the different uses of each area, resulting in multiple target areas. Add candidate acoustic materials to the target area; Determine the position of the sound source in the 3D model to obtain the sound source location; Based on user needs, add home furnishing items that match the purpose of the target area to multiple target areas; Under the condition of sound source emission, the sound field distribution of multiple target areas is simultaneously collected based on the acoustic performance parameters of candidate acoustic materials. Based on the sound field distribution and the acoustic requirements of different target areas, the acoustic materials to be replaced are determined, and suitable acoustic materials are selected from the candidate acoustic materials.

[0006] Preferably, adding candidate acoustic materials to the target area includes the following steps: Extract the three-dimensional dimensions and enclosure structure type of the target area, and mark the physical characteristics of the objects in the target area to determine the purpose of the target area; Construct an acoustic materials database and store acoustic materials in the database according to their functions; Based on the acoustic performance parameters of acoustic materials, a mapping relationship is established between acoustic materials and their applications; Based on the purpose and mapping relationship of the target area, candidate acoustic materials for the target area are obtained.

[0007] Preferably, determining the position of the sound source in the stereo model includes the following steps: Based on the intended use of the target area, determine the types of sound sources and acoustic requirements for the target area; By combining the three-dimensional dimensions of the target area, the type of the enclosure structure, and the layout of the added furniture, the sound source points are identified. For the sound source points in each target area, acquire the parameters of candidate acoustic materials and the acoustic influence parameters of household items, and establish a sound field simulation model; The sound field distribution data corresponding to each sound source point is calculated using a sound field simulation model. Based on the sound field distribution data of the sound source points, the location of the sound source in the target area is obtained.

[0008] Preferably, under the condition of sound source emission, the simultaneous acquisition of sound field distribution in multiple target areas based on the acoustic performance parameters of candidate acoustic materials includes the following steps: A quantitative target area influence intensity index is established, and the influence intensity index of each target area is calculated to determine the primary target area and secondary target areas. The primary target area is the target area with the largest influence intensity index, and the secondary target areas include at least one target area. Based on the constraints of the sound source location in the main target area, determine the candidate sound source locations in the main target area; Calculate the sound field distribution at different candidate sound source locations in the main target area to obtain the optimal sound field distribution result; Based on the sound field distribution results of the main target area, the sound field distribution of the secondary target area is calculated by combining the sound source location of the secondary target area, and the sound field distribution results of the secondary target area are obtained.

[0009] Preferably, the constraints include spatial constraints, functional constraints, and safety constraints. The spatial constraint is to avoid fixed obstacles within the main target area. The functional constraint is to conform to the usage logic of the main target area. The safety constraint is to ensure that the candidate sound source location meets the safety requirements.

[0010] Preferably, the calculation of the sound field distribution at different candidate sound source locations in the main target region includes the following steps: Sound field sampling points are arranged in a grid method within the main target area, and the height of the sampling points is set to the average height of the human ear. For each sampling point, the sound field parameters of the sampling point are calculated, including sound pressure level, reverberation time, and sound field uniformity. Obtain the sound field parameter data table for each candidate sound source location to get the optimal sound field distribution result.

[0011] Preferably, the step of determining the replacement acoustic material based on the sound field distribution and the acoustic requirements of different target areas, and selecting a suitable acoustic material from the candidate acoustic materials, includes the following steps: Based on the intended use of the target area, quantify the acoustic requirements of the target area; By comparing the sound field distribution of the target area with the corresponding acoustic requirement indicators, the target areas and the indicators that do not meet the sound field data are obtained. Based on the non-compliance indicators of the target areas, suitable acoustic materials are selected from the candidate acoustic materials and then replaced in the target areas.

[0012] The present invention also provides an acoustic material recommendation system based on an indoor model, the system comprising: A partitioning module is constructed, which is used to construct a three-dimensional indoor model and to perform precise partitioning of the three-dimensional model according to the actual functional positioning of different areas in the model. The configuration module is used to define the core purpose of the target area, filter materials that are suitable for the purpose of each target area from the database, and generate candidate acoustic materials for the target area. The determination module is used to calculate the sound field distribution data of the sound source point to obtain the sound source location; The addition module is used to restore the actual indoor usage state and filter out home furnishing items that meet functional logic and safety standards. Acquisition module, which is used to simultaneously acquire sound field distribution data of multiple target areas; A screening module is used to select suitable acoustic materials from candidate acoustic materials.

[0013] The technical effects and advantages of the present invention in the above technical solution are as follows: This invention constructs a three-dimensional model that fits the actual space and divides it into zones according to usage. It adds matching home furnishings based on user needs, accurately locates the sound source, and distinguishes between primary and secondary target areas to optimize sound field acquisition. Using a data-driven approach, it selects suitable acoustic materials from candidate acoustic materials. This effectively solves the shortcomings of existing technologies, such as not considering the impact of home furnishings on sound propagation, not matching acoustic needs to different usage areas, and being unable to meet personalized needs. It achieves a match between acoustic material recommendations and indoor scenes, functional requirements, and personalized user demands, improving the scientific, accurate, and practical nature of acoustic material selection. At the same time, it ensures the functionality and comfort of the overall indoor acoustic environment, providing an efficient and feasible solution for indoor sound field optimization. Attached Figure Description

[0014] Figure 1 This is a flowchart of an acoustic material recommendation method based on an indoor model according to the present invention.

[0015] Figure 2 This is a structural diagram of an acoustic material recommendation system based on an indoor model according to the present invention. Detailed Implementation

[0016] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0017] Example 1, please refer to... Figure 1 As shown in the figure, this embodiment provides a method for recommending acoustic materials based on an indoor model. The method includes: S1. Construct a 3D model based on the building floor plan, and divide the 3D model into sections based on the uses of different areas to obtain multiple target areas; S2. Add candidate acoustic materials to the target area; S3. Determine the position of the sound source in the 3D model to obtain the sound source location; S4. Based on the user's needs, add home furnishing items that match the purpose of the target area to multiple target areas; S5. Under the condition of sound source emission, based on the acoustic performance parameters of candidate acoustic materials, simultaneously collect the sound field distribution of multiple target areas. S6. Based on the sound field distribution and the acoustic requirements of different target areas, determine the acoustic materials to be replaced and select suitable acoustic materials from the candidate acoustic materials. As shown in steps S1-S6 above, this embodiment mainly uses common residential apartment layouts, including areas such as living room, master bedroom, secondary bedroom, kitchen, and bathroom. Spatial information such as wall positions, door and window sizes, and room boundary lines from the building floor plan is extracted using building information modeling software. Then, acoustic simulation software is used to construct a 1:1 scale three-dimensional model. Next, mapping rules for area uses and spatial attributes are preset. For example, the master bedroom needs to meet the quiet requirements for sleeping, with a minimum area of ​​≥10㎡ and a ceiling height of ≥2.7m. The living room needs to meet the needs for daily living and watching movies, with a minimum area of ​​≥15㎡ and a reserved area for sound sources. The study needs to meet the needs for office and study, and needs to be far away from noise sources, with a minimum area of ​​≥6㎡. The three-dimensional model is divided into zones according to the mapping rules to obtain target areas for different uses, clarify the functional attributes of different target areas, and provide scene positioning for selecting materials according to their uses. By mapping the regional attributes and material properties of the target area, multiple candidate materials suitable for each target area are selected. By locating the sound source in the target area, the sound field simulation data can realistically reflect the acoustic effects of the candidate materials, providing data support for material selection. To closely resemble the real acoustic simulation scenario, the influence of household items on the acoustic simulation is also introduced to ensure that the material selection conforms to the actual living environment. Finally, the shortcomings of the existing candidate acoustic materials are identified by quantifying the sound field data comparison, and then the final suitable acoustic materials for each target area are selected through demand comparison.

[0018] In one embodiment, adding candidate acoustic materials to a target area includes the following steps: S21. Extract the three-dimensional dimensions and enclosure structure type of the target area, and mark the physical characteristics of the items in the target area to determine the purpose of the target area; S22. Construct an acoustic materials database and store acoustic materials in the database according to their functions; S23. Based on the acoustic performance parameters of acoustic materials, establish a mapping relationship between acoustic materials and their applications; S24. Based on the purpose and mapping relationship of the target area, obtain the candidate acoustic materials for the target area; As shown in steps S21-S24 above, based on the constructed indoor 3D model, the three-dimensional dimensions of the target area are extracted using BIM software. At the same time, the type of the enclosure structure is identified. Combined with the physical characteristics of existing items in the marked target area, the purpose of the target area is determined. The constructed acoustic material database is divided into four categories according to the core functions of acoustic materials: porous sound-absorbing materials, sound-insulating materials, resonant sound-absorbing materials, and composite acoustic materials. The database supports dynamic updates and parameter retrieval. By establishing a mapping relationship between acoustic materials in the acoustic material database and their uses, multiple candidate acoustic materials for the target area are obtained.

[0019] In one embodiment, determining the location of the sound source in the stereo model includes the following steps: S31. Based on the intended use of the target area, determine the type of sound source and acoustic requirements of the target area; S32. By combining the three-dimensional dimensions of the target area, the type of the enclosure structure, and the layout of the added furniture, the sound source points are selected. S33. For the sound source points in each target area, obtain the candidate acoustic material parameters and the acoustic influence parameters of household items respectively, and establish a sound field simulation model; S34. Calculate the sound field distribution data corresponding to each sound source point using the sound field simulation model; S35. Based on the sound field distribution data of the sound source points, obtain the sound source location in the target area; As shown in steps S31-S35 above, first, based on the core purpose of the target area, determine the corresponding sound source types and acoustic requirements. For example, if the target area is the master bedroom, and the main purpose of the master bedroom is for sleeping and resting, then the sound source types in the master bedroom are mainly wall-mounted air conditioners, bedside speakers, etc. Set the corresponding acoustic requirements for the master bedroom to ensure that the sound source types and requirements are consistent with the functional scenario of the area. Then, combining the three-dimensional dimensions of the target area, the type of enclosure structure, and the layout of the added furniture, according to the constraints, select 3 to 5 potential sound source points. Subsequently, for each selected sound source point... The corresponding parameters are extracted from the candidate acoustic materials generated in the early stage, and the acoustic influence parameters of the household items are obtained at the same time. Using acoustic simulation software, the stereo model of the target area, sound source parameters, frequency range, and pulse sound power level and duration parameters are imported to construct a sound field simulation model for each sound source point. Then, each sound field simulation model is run to calculate and output the sound field distribution data corresponding to each sound source point. The sound field distribution data includes core indicators such as sound pressure level, reverberation time, sound field uniformity, and early decay time. Multiple sound source locations are obtained based on the sound field distribution data.

[0020] In one embodiment, under the condition of sound source emission, based on the acoustic performance parameters of candidate acoustic materials, the sound field distribution of multiple target areas is simultaneously acquired, including the following steps: S51. Establish a quantitative target area influence intensity index, calculate the influence intensity index of each target area to determine the primary target area and secondary target areas. The primary target area is the target area with the largest influence intensity index, and the secondary target areas include at least one target area. S52. Based on the constraints of the sound source location in the main target area, determine the candidate sound source locations in the main target area; S53. Calculate the sound field distribution at different candidate sound source locations in the main target area to obtain the optimal sound field distribution result; S54. Based on the sound field distribution results of the main target area, the sound field distribution of the secondary target area is calculated by combining the sound source location of the secondary target area, and the sound field distribution results of the secondary target area are obtained. As shown in steps S51-S54 above, a quantitative target area influence intensity index formula is first constructed. This influence intensity index formula needs to integrate acoustic correlation parameters such as the potential sound power level of the sound source in the target area, the average sound insulation of the enclosure structure between the area and other areas, and the average propagation distance attenuation between the area and other areas. By extracting the parameter values ​​corresponding to each target area and substituting them into the formula for calculation, the influence intensity index of each target area is obtained. All indices are sorted by size, and the area with the largest index is determined as the main target area. At least one other area that meets the analysis requirements is divided into secondary target areas. Based on the preset sound source location constraints of the main target area, including spatial constraints, functional constraints, and safety constraints, the spatial constraints are to avoid fixed obstacles within the main target area, the functional constraints are to conform to the usage logic of the main target area, and the safety constraints are to ensure that the candidate sound source locations meet the safety requirements. Combining the spatial structure characteristics of the main target area, several locations that meet all the constraints are selected as candidate sound source locations for the main target area. Using professional architectural acoustics simulation software, we import the 3D model of the main target area, the sound source parameters corresponding to each candidate sound source location, the acoustic performance parameters of the candidate acoustic materials in the main target area, and the acoustic influence parameters of the furniture in the area, and construct an independent sound field simulation model for each candidate sound source location. Run each sound field simulation model, calculate the sound field distribution data corresponding to each candidate sound source location, and then comprehensively evaluate the sound field distribution data of each candidate sound source location by establishing an evaluation system that includes the compliance of sound field parameters and the stability of the sound field, and select the sound field distribution result with the best overall performance. Based on the optimal sound field distribution results of the main target area, the stereo model of the secondary target area, the determined sound source locations and corresponding sound source parameters of the secondary target area are imported. At the same time, the sound propagation paths between the main target area and each secondary target area are defined, as well as the sound insulation attenuation parameters corresponding to the paths. The sound field influence of the main target area is used as the correlation variable for the sound field calculation of the secondary target area. The sound field distribution data of each secondary target area are calculated through acoustic simulation software, and finally the sound field distribution results of all secondary target areas are obtained.

[0021] In one embodiment, calculating the sound field distribution at different candidate sound source locations in the main target region includes the following steps: S531. Arrange sound field sampling points in the main target area using a grid method, and set the height of the sampling points to the average height of the human ear. S532. For each sampling point, calculate the sound field parameters of the sampling point, including sound pressure level, reverberation time, and sound field uniformity. S533. Obtain the sound field parameter data table for each candidate sound source location to obtain the optimal sound field distribution result; As shown in steps S531-S533 above, the sampling interval of the grid method is determined according to the spatial dimensions of the main target area. Sampling points are arranged in the main target area according to a uniform grid. At the same time, the height of all sampling points is uniformly set to the average height of the human ear to avoid excessive differences between the sound field data and the actual experience due to the height deviation of the sampling points. It is also necessary to ensure that there are no obvious blind spots in the sampling points. For each sampling point, based on the sound field simulation model that includes the parameters of candidate acoustic materials, the acoustic influence parameters of home items, and the basic parameters of the sound source, the core sound field parameters are calculated according to the architectural acoustics calculation specifications. After completing the calculation of all sampling point parameters, all sampling point parameters corresponding to each candidate sound source position are organized into a structured sound field parameter data table. The data tables of each candidate sound source position are comprehensively compared and analyzed. Finally, the candidate sound source position with the highest parameter compliance rate and the most stable parameter distribution in the area is selected. The corresponding sound field distribution is the optimal sound field distribution result.

[0022] In one embodiment, based on the sound field distribution and the acoustic requirements of different target areas, the acoustic material to be replaced is determined, and a suitable acoustic material is selected from the candidate acoustic materials, including the following steps: S61. Based on the intended use of the target area, quantify the acoustic requirements of the target area; S62. By comparing the sound field distribution of the target area with the corresponding acoustic requirement indicators, the target areas and non-compliant indicators of the sound field data are obtained. S63. Based on the non-compliance indicators of the non-compliance target area, select suitable acoustic materials from the candidate acoustic materials and replace the acoustic materials in the non-compliance target area; As shown in steps S61-S63 above, for the non-compliant indicators and their related causes in the non-compliant areas, materials whose acoustic performance parameters match the indicator repair requirements are selected from the pre-configured candidate acoustic materials for the target area. After replacing the selected suitable materials with the non-compliant target areas, it is necessary to reconstruct the sound field simulation model based on the acoustic parameters of the material, calculate the sound field distribution data after replacement, and verify whether the acoustic requirements are met. If they meet the standards, the material is confirmed as an effective suitable material; if they do not meet the standards, they are readjusted until the indicators meet the standards. This method avoids the experience-based and blind selection of acoustic materials and can specifically solve the acoustic shortcomings of each area, ultimately achieving a match between the acoustic effects and application requirements of each target area, effectively improving the functionality and comfort of the overall indoor acoustic environment.

[0023] Example 2, please refer to... Figure 2 As shown, this embodiment provides an acoustic material recommendation system based on an indoor model. The system includes: A partitioning module is constructed, which is used to construct a three-dimensional indoor model and to perform precise partitioning of the three-dimensional model according to the actual functional positioning of different areas in the model. The configuration module is used to define the core purpose of the target area, filter materials that are suitable for the purpose of each target area from the database, and generate candidate acoustic materials for the target area. The determination module is used to calculate the sound field distribution data of the sound source point to obtain the sound source location. The addition module is used to restore the actual indoor usage state and filter out home furnishing items that meet functional logic and safety standards. Acquisition module, which is used to simultaneously acquire sound field distribution data of multiple target areas; A screening module is used to select suitable acoustic materials from candidate acoustic materials.

[0024] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely principles of the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the claimed invention. The scope of protection claimed by the appended claims and their equivalents is defined.

Claims

1. A method for recommending acoustic materials based on an indoor model, characterized in that, The method includes: A 3D model is constructed based on the building floor plan. The 3D model is then divided into sections based on the different uses of each area, resulting in multiple target areas. Add candidate acoustic materials to the target area; Determine the position of the sound source in the 3D model to obtain the sound source location; Based on user needs, add home furnishing items that match the purpose of the target area to multiple target areas; Under the condition of sound source emission, the sound field distribution of multiple target areas is simultaneously collected based on the acoustic performance parameters of candidate acoustic materials. Based on the sound field distribution and the acoustic requirements of different target areas, the acoustic materials to be replaced are determined, and suitable acoustic materials are selected from the candidate acoustic materials.

2. The method for recommending acoustic materials based on an indoor model according to claim 1, characterized in that, Adding candidate acoustic materials to the target area includes the following steps: Extract the three-dimensional dimensions and enclosure structure type of the target area, and mark the physical characteristics of the objects in the target area to determine the purpose of the target area; Construct an acoustic materials database and store acoustic materials in the database according to their functions; Based on the acoustic performance parameters of acoustic materials, a mapping relationship is established between acoustic materials and their applications; Based on the purpose and mapping relationship of the target area, candidate acoustic materials for the target area are obtained.

3. The method for recommending acoustic materials based on an indoor model according to claim 1, characterized in that, Determining the location of the sound source in the 3D model includes the following steps: Based on the intended use of the target area, determine the types of sound sources and acoustic requirements for the target area; By combining the three-dimensional dimensions of the target area, the type of the enclosure structure, and the layout of the added furniture, the sound source points are identified. For the sound source points in each target area, acquire the parameters of candidate acoustic materials and the acoustic influence parameters of household items, and establish a sound field simulation model; The sound field distribution data corresponding to each sound source point is calculated using a sound field simulation model. Based on the sound field distribution data of the sound source points, the location of the sound source in the target area is obtained.

4. The method for recommending acoustic materials based on an indoor model according to claim 1, characterized in that, Under the condition of sound source emission, based on the acoustic performance parameters of candidate acoustic materials, the sound field distribution in multiple target areas is simultaneously collected, including the following steps: A quantitative target area influence intensity index is established, and the influence intensity index of each target area is calculated to determine the primary target area and secondary target areas. The primary target area is the target area with the largest influence intensity index, and the secondary target areas include at least one target area. Based on the constraints of the sound source location in the main target area, determine the candidate sound source locations in the main target area; Calculate the sound field distribution at different candidate sound source locations in the main target area to obtain the optimal sound field distribution result; Based on the sound field distribution results of the main target area, the sound field distribution of the secondary target area is calculated by combining the sound source location of the secondary target area, and the sound field distribution results of the secondary target area are obtained.

5. The method for recommending acoustic materials based on an indoor model according to claim 4, characterized in that: The constraints include spatial constraints, functional constraints, and safety constraints. The spatial constraint is to avoid fixed obstacles within the main target area. The functional constraint is to conform to the usage logic of the main target area. The safety constraint is to ensure that the candidate sound source locations meet the safety requirements.

6. The method for recommending acoustic materials based on an indoor model according to claim 4, characterized in that, The calculation of the sound field distribution at different candidate sound source locations in the main target region includes the following steps: Sound field sampling points are arranged in a grid method within the main target area, and the height of the sampling points is set to the average height of the human ear. For each sampling point, the sound field parameters of the sampling point are calculated, including sound pressure level, reverberation time, and sound field uniformity. Obtain the sound field parameter data table for each candidate sound source location to get the optimal sound field distribution result.

7. The method for recommending acoustic materials based on an indoor model according to claim 1, characterized in that, The process of determining replacement acoustic materials based on sound field distribution and acoustic requirements of different target areas, and selecting suitable acoustic materials from candidate materials, includes the following steps: Based on the intended use of the target area, quantify the acoustic requirements of the target area; By comparing the sound field distribution of the target area with the corresponding acoustic requirement indicators, the target areas and the indicators that do not meet the sound field data are obtained. Based on the non-compliance indicators of the target areas, suitable acoustic materials are selected from the candidate acoustic materials and then replaced in the target areas.

8. An acoustic material recommendation system based on an indoor model, used to implement the acoustic material recommendation method based on an indoor model as described in any one of claims 1-7, characterized in that, The system includes: A partitioning module is constructed, which is used to construct a three-dimensional indoor model and to perform precise partitioning of the three-dimensional model according to the actual functional positioning of different areas in the model. The configuration module is used to define the core purpose of the target area, filter materials that are suitable for the purpose of each target area from the database, and generate candidate acoustic materials for the target area. The determination module is used to calculate the sound field distribution data of the sound source point to obtain the sound source location; The addition module is used to restore the actual indoor usage state and filter out home furnishing items that meet functional logic and safety standards. Acquisition module, which is used to simultaneously acquire sound field distribution data of multiple target areas; A screening module is used to select suitable acoustic materials from candidate acoustic materials.

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