An acoustic optimization material selection method and device, electronic equipment and storage medium

Abstract

The application discloses an acoustic optimization material selection method and device, electronic equipment and a storage medium. The acoustic optimization material selection method comprises the following steps: dividing a whole vehicle model into a first conduction area, a second conduction area and a third conduction area according to a human body position area; determining the conduction decibel number corresponding to the noise dissipation quantity of the first conduction area, the second conduction area and the third conduction area respectively according to a preset noise source; determining a first conduction area, a second conduction area and a third conduction area in the whole vehicle model based on the space of the top area of the driver's seat; and determining the acoustic optimization material of the corresponding target conduction area in the first conduction area, the second conduction area and the third conduction area according to the conduction decibel number, a preset standard noise decibel value and a preset noise optimization model. The application realizes accurate selection of acoustic optimization material, reduces the quality of the automobile under the condition that the noise meets the standard, and realizes automobile light weight.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of material selection, and particularly relates to an acoustic optimization material selection method and device, electronic equipment and a storage medium. BACKGROUND

[0002] Lightweighting of automobiles has been an eternal goal of product research and development. For traditional automobiles, lightweighting technology can effectively reduce pollutants and reduce carbon emissions. Studies have shown that for every 10% reduction in automobile weight, fuel consumption is reduced by about 8%. Therefore, the research on lightweighting of automobiles is crucial. However, since the vehicle body accounts for the largest proportion of the overall weight of the vehicle, the weight reduction target is mainly the self-weight of the automobile.

[0003] The current focus of development is the application of new materials such as high-strength steel, aluminum alloy, magnesium alloy, or plastic. However, the improvement of materials also needs to consider their noise reduction function. The acoustic package of the automobile is distributed in various parts of the vehicle, and thus it also accounts for a certain weight. Therefore, reducing the mass of the acoustic package can also achieve lightweighting of the automobile. Therefore, an acoustic optimization material selection method that can both achieve lightweighting of the automobile and meet the noise reduction standard has become a problem to be solved. SUMMARY

[0004] The present application provides an acoustic optimization material selection method, device, electronic equipment and storage medium to select an acoustic optimization material with strong noise reduction function and light weight, and further achieve lightweighting of the automobile.

[0005] According to an aspect of the present application, an acoustic optimization material selection method is provided, wherein the method comprises:

[0006] The overall vehicle model is divided into a first conduction zone, a second conduction zone and a third conduction zone according to the human position area, wherein the first conduction zone, the second conduction zone and the third conduction zone correspond to the head cavity, the waist cavity and the foot cavity of the human position area;

[0007] The noise dissipation quantity corresponding to the conduction decibel number of the first conduction zone, the second conduction zone and the third conduction zone is determined according to the preset noise source;

[0008] Based on the space at the top end of the driver's seat, the first, second and third conduction zones are determined in the overall vehicle model;

[0009] The acoustic optimization material of the corresponding target conduction zone in the first, second and third conduction zones is determined according to the conduction decibel number, the preset standard noise decibel value and the preset noise optimization model, wherein the target conduction zone includes at least one of the first conduction zone, the second conduction zone and the third conduction zone.

[0010] According to another aspect of the present application, there is provided an acoustic optimization material selection device, wherein the device comprises:

[0011] a conduction area confirmation module configured to divide the whole vehicle model into a first conduction area, a second conduction area and a third conduction area according to the human body position area, wherein the first conduction area, the second conduction area and the third conduction area correspond to the head cavity, the waist cavity and the foot cavity of the human body position area;

[0012] a conduction decibel determination module configured to determine the conduction decibel number corresponding to the noise dissipation amount of the first conduction area, the second conduction area and the third conduction area according to the preset noise source;

[0013] a conduction area determination module configured to determine a first conduction area, a second conduction area and a third conduction area in the whole vehicle model based on the space of the top end area of the driver seat;

[0014] an optimization material determination module configured to determine the acoustic optimization material of the corresponding target conduction area in the first conduction area, the second conduction area and the third conduction area according to the conduction decibel number, the preset standard noise decibel value and the preset noise optimization model, wherein the target conduction area comprises at least one of the first conduction area, the second conduction area and the third conduction area.

[0015] According to another aspect of the present application, there is provided an electronic device, comprising:

[0016] at least one processor;

[0017] and a memory connected in communication with the at least one processor;

[0018] wherein the memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor to enable the at least one processor to execute an acoustic optimization material selection method of any one of the embodiments of the present application.

[0019] According to another aspect of the present application, there is provided a computer readable storage medium storing computer instructions for enabling a processor to implement an acoustic optimization material selection method of any one of the embodiments of the present application when executed by the processor.

[0020] The technical scheme of the embodiment of the present application divides the whole vehicle model into a first conduction area, a second conduction area and a third conduction area according to a human body position area, wherein the first conduction area, the second conduction area and the third conduction area correspond to a head cavity, a waist cavity and a foot cavity of the human body position area; noise dissipation amounts of the first conduction area, the second conduction area and the third conduction area are determined according to a preset noise source; a first-level conduction area, a second-level conduction area and a third-level conduction area are determined in the whole vehicle model based on a space at the top end of the driver seat; and acoustic optimization materials of corresponding target conduction areas in the first-level conduction area, the second-level conduction area and the third-level conduction area are determined according to the conduction decibel number, a preset standard noise decibel value and a preset noise optimization model. The acoustic optimization of the driving and riding space is realized, the acoustic optimization materials of the first-level conduction area, the second-level conduction area and the third-level conduction area are confirmed, the lightest acoustic optimization material is selected under the condition that the automobile meets the noise reduction standard, and the light weight of the whole vehicle is realized.

[0021] It should be understood that the content described in this part is not intended to identify key or important features of the embodiments of the present application, nor is it used to limit the scope of the present application. Other features of the present application will become apparent from the following description. BRIEF DESCRIPTION OF DRAWINGS

[0022] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following will briefly introduce the drawings needed to be used in the embodiment description. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can also be obtained by those skilled in the art without creative labor.

[0023] Figure 1 is a flow chart of an acoustic optimization material selection method provided by the first embodiment of the present application;

[0024] Figure 2 is a flow chart of an acoustic optimization material selection method provided by the second embodiment of the present application;

[0025] Figure 3 is a structural schematic diagram of an acoustic optimization material selection device provided by the third embodiment of the present application;

[0026] Figure 4 is a structural schematic diagram of an electronic device for implementing the acoustic optimization material selection method of the embodiment of the present application. DETAILED DESCRIPTION

[0027] In the following, the technical solutions in the embodiments of the present application will be described clearly and completely with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments of the present application. Based on the embodiments in the present application, all the other embodiments obtained by a person of ordinary skill in the art without creative effort should belong to the scope of the present application.

[0028] It should be noted that the terms "first", "second" and the like in the description and claims of the present application and the above drawings are used to distinguish similar objects, and do not necessarily indicate a specific order or sequence. It should be understood that the data thus used can be interchanged under appropriate circumstances, so that the embodiments of the present application described herein can be implemented in other than the order illustrated or described herein. In addition, the terms "comprise" and "have" and any variations thereof are intended to cover non-exclusive inclusion, for example, a process, method, system, product or device that includes a list of steps or units need not be limited to those steps or units clearly listed, but can include other steps or units not clearly listed or inherent to such processes, methods, products or devices.

[0029] Embodiment one

[0030] Figure 1 is a flowchart of an acoustic optimization material selection method according to the first embodiment of the present application. The present embodiment can be applied to the selection of acoustic optimization materials. The method can be performed by an acoustic optimization material selection device, which can be realized in the form of hardware and / or software, and can be configured in an electronic device. As shown in Figure 1 , the method comprises:

[0031] S110, dividing the whole vehicle model into a first conduction area, a second conduction area and a third conduction area according to the human position area, wherein the first conduction area, the second conduction area and the third conduction area correspond to the head cavity, the waist cavity and the foot cavity of the human position area.

[0032] The whole vehicle model can refer to a vehicle model simulating the engine controller, which is made according to the shape and structure of the vehicle. The first conduction area, the second conduction area and the third conduction area can refer to the conduction area of noise, which can be divided according to the human position area. The first conduction area can correspond to the head cavity of the human position area; the second conduction area can correspond to the waist cavity of the human position area; and the third conduction area can correspond to the foot cavity of the human position area.

[0033] In the embodiments of the present application, the first, second and third conduction regions can be conduction noise regions divided according to human position regions on a whole vehicle model, and the first, second and third conduction regions correspond to a head cavity, a waist cavity and a foot cavity of the human position regions, respectively. The head cavity can refer to a space corresponding to a head movement region of a person when the person is driving or riding in the vehicle. In an embodiment, a standard floating height interval of the head of the driver or passenger can be obtained, and a region between a lower limit value of the standard floating height interval and an inner top end of the whole vehicle model can be taken as the head cavity. Correspondingly, the region between the lower limit value of the standard floating height interval and the inner top end of the whole vehicle model can be taken as the first conduction region. The waist cavity can refer to a region corresponding to a front apron of the vehicle. The waist cavity can be determined according to a position of the waist of the person during driving or riding. Since the waist position of the person when driving or riding in the vehicle can be basically fixed, a horizontal plane at the waist position of the driver or passenger can be determined as a lower limit value of the waist cavity, and a region between the lower limit value of the standard floating height interval and the lower limit value of the waist cavity can be taken as the waist cavity. Correspondingly, the position corresponding to the waist cavity can be taken as the second conduction region. In an embodiment, the waist position of the person when driving or riding in the vehicle can correspond to a center position of the front apron, and a horizontal plane at the center position of the front apron can be taken as the lower limit value of the waist cavity. The foot cavity can refer to a space corresponding to a region of a vehicle chassis. When the waist cavity is determined, a region between the lower limit value of the waist cavity and an inner bottom end of the whole vehicle model can be taken as the foot cavity, and correspondingly, the region between the lower limit value of the waist cavity and the inner bottom end of the whole vehicle model can be taken as the third conduction region.

[0034] S120, determining a conduction decibel number corresponding to a noise dissipation amount of the first, second and third conduction regions according to the preset noise source.

[0035] The preset noise source can refer to a pre-placed noise source, and can include but is not limited to wind noise, engine noise, tire noise during vehicle driving, etc. The preset noise source can be set at different positions according to requirements. For example, the positions of the preset noise source can include but are not limited to an engine compartment, a passenger compartment, a trunk, outside the vehicle, etc. The decibel number of the preset noise source can be pre-set, and can be set according to the actual possible noise decibel number. The noise dissipation amount can refer to a loss amount of noise during propagation. The noise dissipation amount generated during transmission can be different for different regions. The conduction decibel number can refer to a decibel number of noise transmitted to each conduction region, which can be determined by subtracting the noise dissipation amount from the sound source noise decibel number generated by the preset noise source.

[0036] In the embodiments of the present application, after the preset noise source is set, the noise dissipation amount of the first conduction area, the second conduction area and the third conduction area can be determined according to the preset sound propagation loss formula. After the noise dissipation amount is determined, the conduction decibel number can be determined according to the sound source noise decibel number and the noise dissipation amount. For example, the conduction decibel number can be the sound source noise decibel number minus the noise dissipation amount. The noise dissipation amount can be calculated and determined according to the sound source noise decibel number generated by the preset noise source. In an embodiment, the preset sound propagation loss formula can be extracted to determine the noise dissipation amount. The preset sound propagation loss formula is In the formula, S i represents the noise dissipation amount, p i represents the medium density of the i-th conduction area, C i represents the medium area of the i-th conduction area, P i represents the sound source noise energy of the i-th conduction area, p j represents the density of the noise output device at the preset noise source of the first conduction area, the second conduction area and the third conduction area, C j represents the area of the noise output device at the preset noise source of the first conduction area, the second conduction area and the third conduction area, P j represents the initial noise energy at the preset noise source of the first conduction area, the second conduction area and the third conduction area, wherein i=j. After the noise dissipation amount is determined, the conduction decibel number of each conduction area is determined by subtracting the noise dissipation amount from the sound source noise decibel number generated by the preset noise source.

[0037] S130, determine the first conduction area, the second conduction area and the third conduction area based on the space at the top end of the driver's seat in the vehicle model.

[0038] The first conduction area can refer to the first conduction area of the noise, which can be the area divided based on the space at the top end of the driver's seat, and the received noise decibel number should be the smallest. The second conduction area can be the conduction area after the offset processing of the first conduction area. The third conduction area can be the conduction area other than the second conduction area.

[0039] In the embodiments of the present application, the space of the top end region of the driver seat can be determined according to the inherent structure of the driver seat and the height of the first conductive region. The width of the driver seat and the distance that the driver seat can be translated can be obtained, and the distance that the driver seat can be translated can refer to the length of the space that the driver seat can be adjusted. The space of the top end region of the driver seat can be a cuboid, the length of which can be the distance that the driver seat can be translated plus the distance from the front edge of the driver seat to the back of the driver seat, the width of which can be the width of the driver seat, and the height of which can be the height of the first conductive region. After the space of the top end region of the driver seat is determined, the virtual edge lines of the top end region of the driver seat can be determined according to the region edges, and the points of the virtual edge lines can be extracted. For example, the points of the virtual edge lines can be extracted randomly, or the points of the virtual edge lines can be determined by equally dividing the virtual edge lines. The intersection points of the inherent structure closest to the points on the edge lines can be determined as the conductive edge points, the coordinates of the conductive edge points can be determined, and the internal region formed by the conductive edge points can be determined as the first conductive region. After the first conductive region is determined, the coordinates of the conductive edge points of the first conductive region can be offset to determine the second conductive region. In an embodiment, the preset offset amount can be extracted to determine the offset amount, for example, the preset offset amount determination function can be Q=E / k, wherein Q represents the offset amount, E represents the standard noise decibel value of the second conductive region, and k represents the unit loss rate of the sound source noise generated by the noise source in the air. After the offset amount is determined, the offset edge coordinates can be obtained based on the coordinates of the conductive edge points and in combination with the offset amount, and the region between the conductive edge coordinates and the offset edge coordinates can be marked as the second conductive region, and the region outside the second conductive region can be determined as the third conductive region.

[0040] S140, determining the acoustic optimization material of the corresponding target conductive region in the first conductive region, the second conductive region and the third conductive region according to the conductive decibel number, the preset standard noise decibel value and the preset noise optimization model, wherein the target conductive region includes at least one of the first conductive region, the second conductive region and the third conductive region.

[0041] The preset standard noise decibel value can be a set of standard noise decibel values, and the preset standard noise decibel value in each conductive region can be different, wherein the preset standard noise decibel value corresponding to the first conductive region can be the smallest. The acoustic optimization material can be a material with relatively low mass and good sound absorption effect, and the acoustic optimization materials of the conductive regions can be different.

[0042] In an embodiment, a preset target function can be extracted, the sound absorption coefficient of the sound absorption material is determined according to the preset standard noise decibel value and the transmission decibel number, the to-be-determined combination material less than or equal to the preset standard noise decibel value is determined according to the sound absorption coefficient of the superposition of the candidate material, and the to-be-determined combination material with the lightest mass is taken as the acoustic optimization material. In actual operation, the acoustic optimization material arranged in the third transmission region can be the same as the acoustic optimization material arranged in the second transmission region. In an embodiment, the preset target function can be In the formula, a x represents the sound absorption coefficient of the sound absorption material, y represents the unit area of the sound absorption material, b represents the noise decibel number after passing through the candidate material, f1 is the transmission decibel number, and f is the preset standard noise decibel value. The noise decibel number after passing through the candidate material can be determined by a noise meter or other equipment. For example, the preset standard noise decibel value of each transmission region can be different. For example, the preset standard noise decibel value of the first transmission region can include but is not limited to 40 decibels, 45 decibels, 50 decibels, etc., and the preset standard noise decibel value of the second transmission region can include but is not limited to 75 decibels, 78 decibels, 80 decibels, etc. Since the first transmission region, the second transmission region and the third transmission region can all fall within the first transmission region, the second transmission region and the third transmission region, the preset standard noise decibel value selected when calculating the sound absorption coefficient can be a partition calculation. The sound absorption coefficient of the part of each transmission region falling within the first transmission region is calculated according to the transmission decibel number of the first transmission region. The sound absorption coefficient of the part of each transmission region falling within the second transmission region is calculated according to the transmission decibel number of the second transmission region. After determining the sound absorption coefficient of the sound absorption material, the to-be-determined combination material less than or equal to the preset standard noise decibel value is determined according to the sound absorption coefficient of the superposition of the candidate material, and the to-be-determined combination material with the lightest mass is determined as the acoustic optimization material.

[0043] In the embodiment of the application, the whole vehicle model is divided into the first transmission region, the second transmission region and the third transmission region according to the human body position region, the transmission decibel number corresponding to the noise dissipation amount of the first transmission region, the second transmission region and the third transmission region is determined according to the preset noise source, the first transmission region, the second transmission region and the third transmission region are determined in the whole vehicle model based on the space of the top region of the driver's seat, and the acoustic optimization material in the corresponding target transmission region in the first transmission region, the second transmission region and the third transmission region is determined according to the transmission decibel number, the preset standard noise decibel value and the preset noise optimization model. The acoustic optimization of the driving and riding region is realized, the mass of the acoustic optimization material is reduced under the condition that the automobile meets the noise reduction standard, and the light weight of the whole vehicle is realized.

[0044] Embodiment two

[0045] Figure 2It is a flow chart of the acoustic optimization material selection method according to the second embodiment of the present application, and the embodiment is a further description of the acoustic optimization material selection method based on the above-mentioned embodiment. As shown in Figure 2 The method comprises the following steps:

[0046] S2010, collecting a standard floating height interval corresponding to a head of a human position area, taking a lower limit value of the standard floating height interval as a first reference surface, and determining a region from the first reference surface to an internal top end of a whole vehicle model as a first conduction region.

[0047] In the embodiment of the application, the interval corresponding to the head of the person is basically fixed during the process of driving the car. The standard floating height interval corresponding to the head of the human position area can be obtained, and the lower limit value of the standard floating height interval is taken as the first reference surface. The region from the first reference surface to the internal top end of the whole vehicle model is taken as the first conduction region. In an embodiment, the height interval corresponding to the head of a plurality of persons can be collected, and the average value is determined to determine the standard floating height interval; or the height interval corresponding to the head of a human position area of a person can be collected as the standard floating height interval.

[0048] S2020, collecting a center position of a front wall of the whole vehicle model, taking a center horizontal surface corresponding to the center position as a second reference surface, and determining a region between the second reference surface and the first reference surface as a second conduction region.

[0049] The front wall can be a partition between an engine compartment and a passenger compartment, which is coupled with a bottom end of the whole vehicle model and a front upright column and is installed below a front wall upper cover plate.

[0050] In the embodiment of the application, the center position of the front wall of the whole vehicle model can be obtained, the center position corresponding center horizontal surface is determined, the center horizontal surface is taken as the second reference surface, and the region between the first reference surface and the second reference surface is taken as the second conduction region.

[0051] S2030, determining a region from the second reference surface to an internal bottom end of the whole vehicle model as a third conduction region.

[0052] In the embodiment of the application, after the second conduction region is determined, the region from the second reference surface to the internal bottom end of the whole vehicle model can be taken as the third conduction region.

[0053] S2040, respectively determining a sound source noise decibel number of a preset noise source in the first conduction region, the second conduction region and the third conduction region.

[0054] The sound source noise decibel number can be the noise size of the preset noise source corresponding to the first conduction area, the second conduction area and the third conduction area. The preset noise source can be preset. The preset noise source can refer to a noise source placed in advance. The preset noise source can include, but is not limited to, wind noise, engine noise, tire noise generated during vehicle driving, etc.

[0055] In the embodiment of the application, because the first conduction area, the second conduction area and the third conduction area are located in different regions, the sound source noise decibel numbers of the preset noise sources collected in the first conduction area, the second conduction area and the third conduction area can be different. In an embodiment, the preset noise source can include, but is not limited to, external wind noise, engine noise and tire noise during vehicle driving. The preset noise source can be set, wherein the sound source noise decibel number of the preset noise source can be preset, and the sound source noise decibel numbers of the preset noise sources determined by the first conduction area, the second conduction area and the third conduction area can be different. In actual operation, because the speed of the vehicle during driving is inconsistent, the corresponding noise decibel number is different. The vehicle speed of 120 km / h can be collected as a standard to determine the engine noise, wind noise and tire noise, and the noise can be combined according to the requirements to serve as the sound source noise decibel number of the preset noise source corresponding to each conduction area.

[0056] S2050, determining the noise dissipation amount of each sound source noise decibel number in the first conduction area, the second conduction area and the third conduction area according to the preset sound propagation loss formula.

[0057] The preset sound propagation loss formula can be preset and used to calculate the loss amount of noise during propagation.

[0058] In the embodiment of the application, by respectively substituting the sound source noise decibel number and other parameters of the preset noise source collected by the first conduction area, the second conduction area and the third conduction area into the preset sound propagation loss formula, the noise dissipation amount of each sound source noise decibel number in the first conduction area, the second conduction area and the third conduction area can be determined. In an embodiment, the preset sound propagation loss formula is In the formula, S i represents the noise dissipation amount, p i represents the medium density of the i-th conduction area, C i represents the medium area of the i-th conduction area, P i represents the sound source noise energy of the i-th conduction area, p j represents the density of the noise output device at the preset noise source of the first conduction area, the second conduction area and the third conduction area, C j represents the area of the noise output device at the preset noise source of the first conduction area, the second conduction area and the third conduction area, P jrepresenting initial noise energy at preset noise sources of the first, second and third conductive regions, wherein i = j.

[0059] S2060, determining noise dissipation amounts of the first, second and third conductive regions as differences between corresponding sound source noise decibel numbers and the first, second and third conductive region noise decibel numbers respectively.

[0060] In the embodiments of the application, after the sound source noise decibel numbers of the first, second and third conductive regions and the corresponding noise dissipation amounts are determined respectively, the conductive decibel numbers can be determined by subtracting the corresponding noise dissipation amounts from the sound source noise decibel numbers of the first, second and third conductive regions respectively.

[0061] S2070, determining a driver seat top end region space and generating at least one virtual boundary line in the driver seat top end region space.

[0062] The driver seat top end region space can be a cuboid region, which can be a space corresponding to a head region of the driver during driving of the vehicle. The virtual boundary line can be a line segment virtually generated according to edges of the driver seat top end region space.

[0063] In the embodiments of the application, the driver seat top end region space can be determined by first determining a movable edge position of the driver seat and further determining the driver seat top end region space according to the movable edge position of the driver seat. The height of the driver seat top end region space can be the height of the first conductive region, i.e., the distance from the first reference surface to the top end inside the vehicle model. The driver seat top end region space can be determined according to the movable edge position, the length of the driver seat and the distance from the first reference surface to the top end inside the vehicle model. After the driver seat top end region space is determined, the virtual boundary line can be virtually generated according to edges of the driver seat top end region space. In an embodiment, the number of virtual boundary lines can include a plurality.

[0064] In some embodiments, S2070 includes:

[0065] S2071, collecting a translatable position of the driver seat and a width of the driver seat, and determining a movable edge position of the driver seat.

[0066] The translatable position of the driver seat can be a position that is adjustable forward and backward.

[0067] In the embodiments of the application, the translatable position of the driver seat and the width of the driver seat can be measured. The translatable position of the driver seat can be a forward and backward movable region of the driver seat, and the width of the driver seat can be a left and right movable region of the driver seat. According to the forward and backward movable region and the left and right movable region of the driver seat, the movable edge position of the driver seat can be determined.

[0068] S2072, the area surrounded by the front face of the driver seat, the first conductive area and the active edge position is determined as the driver seat top area space.

[0069] The front face of the driver seat can be the driver seat back position.

[0070] In the embodiment of the application, the front face of the driver seat can be taken as the third reference face. Since the first conductive area corresponds to the head cavity of the human body position area, the height of the driver seat top area space can be the height of the first conductive area, that is, the distance from the first reference face to the top end of the interior of the whole vehicle model. In actual operation, the height of the driver seat top area space can be the distance from the first reference face to the top end of the interior of the whole vehicle model, the width can be the driver seat width, and the length can be the offset of the translatable position of the driver seat plus the third reference face, that is, the translatable position of the driver seat plus the length of the driver seat. According to the determined height, width and length of the driver seat top area space, the driver seat top area space is determined.

[0071] S2080, the virtual edge lines are equally divided to determine at least one virtual edge point.

[0072] The virtual edge point can be a point on the virtual edge line, and the number of virtual edge points can include multiple. The distance between each virtual edge point on the same virtual edge line can be the same.

[0073] In the embodiment of the application, the virtual edge line is equally divided, and a plurality of virtual nodes can be obtained. The virtual nodes can be taken as virtual edge points. The number of virtual edge divisions is not limited, and for example, the number of divisions of a virtual edge line can include 8 divisions, 10 divisions, 30 divisions, etc.

[0074] S2090, the intersection point of the inherent structure of the whole vehicle model closest to each virtual edge point is taken as a conductive edge point, and the internal area formed by each conductive edge point is taken as a first conductive area.

[0075] The inherent structure can refer to the structure of the whole vehicle model itself, and for example, the inherent structure can include the frame of the whole vehicle model, the driver seat, the passenger seat, the front wall, the window, etc.

[0076] In the embodiment of the application, the intersection point closest to each virtual edge point of the inherent structure of the whole vehicle model is determined as a conductive edge point. In actual operation, each virtual edge point can find a point closest to the inherent structure of the whole vehicle model, and these points can be confirmed as conductive edge points. The conductive edge points can be connected, and the internal area formed by the conductive edge points is taken as a first conductive area.

[0077] S2100, the offset is determined according to the noise dissipation amount and the sound source noise decibel number.

[0078] The offset can be an offset relative to the first conduction region, and the offset can be determined according to the noise escape amount and the sound source noise decibel number. In an embodiment, a preset offset calculation function can be extracted, and the offset can be determined according to the preset offset calculation function.

[0079] In some embodiments, S2100 includes:

[0080] S2101, extracting a preset offset calculation function.

[0081] The preset offset calculation function can be a function preset for calculating the offset. The preset offset function can be stored locally on the electronic device. In the embodiment of the application, when the offset is determined, the corresponding field of the preset offset calculation function can be extracted locally on the electronic device to extract the preset offset calculation function. For example, the preset offset calculation function can be Q = E / k, where Q represents the offset, E represents a preset standard noise decibel value, and k represents a unit loss rate of noise in air.

[0082] S2102, determining a unit loss rate of noise in air according to the noise escape amount and the sound source noise decibel number.

[0083] In the embodiment of the application, the unit loss rate of noise in air can be determined according to the noise escape amount and the sound source noise decibel number. The unit loss rate of noise in air can be equal to the noise escape amount divided by the sound source noise decibel number. When the noise escape amount and the sound source noise decibel number are determined, the unit loss rate of noise in air can be determined.

[0084] S2103, obtaining a preset standard noise decibel value, inputting the preset standard noise decibel value and the unit loss rate of noise in air into the preset offset calculation function to determine the offset.

[0085] The preset standard noise decibel value can be set according to requirements, and the offset is used to determine the second conduction region. The preset standard noise decibel value of the second conduction region can be greater than the preset standard noise decibel value of the first conduction region. For example, when the preset standard noise decibel value of the first conduction region includes 40 decibels, 45 decibels, 50 decibels, etc., the preset standard noise decibel value of the second conduction region can include 75 decibels, 78 decibels, 80 decibels, etc. In an embodiment, when the preset standard noise decibel value is 80 decibels, 80 decibels and the unit loss rate of noise in air can be input into the preset offset calculation function to determine the offset.

[0086] S2110, determining at least one offset edge point in combination with the conduction edge points and the offset, and determining a region between the conduction edge points and the offset edge points as the second conduction region.

[0087] In the embodiments of the present application, each conduction edge point can be combined with an offset amount to determine an offset edge point. In actual operation, a world coordinate system can be established with the center of the vehicle model as the coordinate origin, and the coordinates of each conduction edge point can be determined. The coordinates of each conduction edge point can be combined with an offset amount to determine an offset edge point. For example, the center point of the first-level conduction area can be taken as the center, each conduction edge point can be extended outward by an offset amount to determine an offset edge point, and the area between the offset edge point and the conduction edge point can be determined as the second-level conduction area.

[0088] S2120, determining an area outside the second-level conduction area of the vehicle model as a third-level conduction area.

[0089] In the embodiments of the present application, when the second-level conduction area of the vehicle model is determined, the area outside the second-level conduction area where the vehicle model is located can be determined as a third-level conduction area.

[0090] S2130, obtaining a preset target function in a preset noise optimization model.

[0091] The preset noise optimization model can be a model for storing the preset target function, and is used to determine the sound absorption coefficient of the sound-absorbing material according to the preset target function. The preset target function can be a function set in advance, and is a function for determining the sound absorption coefficient of the sound-absorbing material.

[0092] In the embodiments of the present application, the preset target function can be a function set in advance, and can be stored in the preset noise optimization model and stored locally in the electronic device. By extracting the corresponding fields of the preset target function, the preset target function stored locally can be extracted. In an embodiment, the preset target function can be In the formula, a x represents the sound absorption coefficient of the sound-absorbing material, y represents the unit area of the sound-absorbing material, b represents the noise decibel value after passing through the alternative material, f1 represents the conduction decibel value, and f represents the preset standard noise decibel value. The noise decibel value after passing through the alternative material can be determined by a noise meter or other equipment.

[0093] S2140, inputting each conduction decibel value and the preset standard noise decibel value into the preset target function to determine the sound absorption coefficient of the sound-absorbing material in the first-level conduction area, the second-level conduction area, and the third-level conduction area, respectively.

[0094] In an embodiment, since the first, second and third conduction regions can all fall in the first, second and third conduction zones, the preset standard noise decibel value selected when calculating the sound absorption coefficient can be a partition calculation. The sound absorption coefficient of the first, second and third conduction regions falling in the first conduction zone can be calculated according to the first conduction decibel number; the sound absorption coefficient of the first, second and third conduction regions falling in the second conduction zone can be calculated according to the second conduction decibel number. The first, second and third conduction decibel numbers and the preset standard noise decibel value are input into a preset target function to determine the sound absorption coefficient of the sound-absorbing material in the first, second and third conduction regions. In an embodiment, the sound absorption coefficient of the sound-absorbing material in the second and third conduction regions can be the same.

[0095] S2150, obtain the unit mass of each alternative material, randomly combine each alternative material, and obtain the to-be-determined combined material less than or equal to the preset standard noise decibel value in combination with the sound absorption coefficient.

[0096] In the embodiment of the application, the sound absorption coefficient unit mass of each alternative material can be different, and each alternative material can be randomly combined to obtain the to-be-determined material less than or equal to the preset standard noise decibel value. The first, second and third conduction regions can be determined according to the corresponding preset noise decibel value, since the first, second and third conduction regions fall in each conduction zone, and the sound absorption coefficient required by each conduction zone is different, so that a plurality of to-be-determined combined materials can be selected for each conduction region. In an embodiment, the sound-absorbing material in the second and third conduction regions can be the same, and the to-be-determined combined material in the second conduction region can be determined to further determine the to-be-determined combined material in the third conduction region. In an embodiment, the to-be-determined material less than or equal to the preset standard noise decibel value is selected, that is, the combined decibel number of all alternative materials needs to be less than or equal to the preset noise decibel value, and the combined decibel number of all alternative materials can be determined by a function, for example. The noise decibel calculation function of the combination of all alternative materials can include: In the formula, T represents the noise decibel value of the combination of alternative materials, r represents the total number of types of alternative materials, M represents the area of the combination of alternative materials, a x represents the sound absorption coefficient of the sound-absorbing material.

[0097] S2160, sort each to-be-determined combined material from high to low according to the mass, and determine the to-be-determined combined material with the lowest mass as the optimized material.

[0098] In the embodiment of the application, each to-be-determined combined material is sorted from high to low according to the mass, and since the sound absorption coefficient of the to-be-determined combined material meets the requirements, the to-be-determined material with the lowest mass is selected as the optimized material.

[0099] The embodiment of the present application determines the space of the top end area of the driver seat according to all possible positions of the head of the driver and passenger, constructs virtual edge points based on the edges of the space, takes the intersection points of the inherent structures of the whole vehicle model that have the closest distance to each virtual edge point as the conduction edge points based on the virtual edge points, determines the first conduction area inside the conduction edge points, calculates the offset, determines the second conduction area and the third conduction area, determines the sound absorption coefficients of the to-be-determined combined materials in each conduction area respectively, selects the lightest to-be-determined combined material as the optimized material, and realizes the reduction of the quality of the material without affecting the operation of the driver and passenger, and further realizes the light-weight optimization of the whole vehicle.

[0100] Embodiment three

[0101] Figure 3 is a structural schematic diagram of an acoustic optimization material selection device according to the third embodiment of the present application. As shown in Figure 3 , the device comprises a conduction area confirmation module 31, a conduction decibel determination module 32, a conduction area determination module 33 and an optimized material determination module 34.

[0102] The conduction area confirmation module 31 is configured to divide the whole vehicle model into a first conduction area, a second conduction area and a third conduction area according to the human position area, wherein the first conduction area, the second conduction area and the third conduction area correspond to the head cavity, the waist cavity and the foot cavity of the human position area.

[0103] The conduction decibel determination module 32 is configured to determine the conduction decibel number corresponding to the noise dissipation amount of the first conduction area, the second conduction area and the third conduction area respectively according to the preset noise source.

[0104] The conduction area determination module 33 is configured to determine the first conduction area, the second conduction area and the third conduction area based on the space of the top end area of the driver seat.

[0105] The optimized material determination module 34 is configured to determine the acoustic optimization material of the corresponding target conduction area in the first conduction area, the second conduction area and the third conduction area according to the conduction decibel number, the preset standard noise decibel value and the preset noise optimization model, wherein the target conduction area comprises at least one of the first conduction area, the second conduction area and the third conduction area.

[0106] In the embodiment of the present application, the conduction area confirmation module divides the whole vehicle model into a first conduction area, a second conduction area and a third conduction area according to the human position area. The conduction decibel determination module determines the conduction decibel number corresponding to the noise dissipation amount of the first conduction area, the second conduction area and the third conduction area according to the preset noise source. The conduction area determination module determines a first conduction area, a second conduction area and a third conduction area in the whole vehicle model based on the space at the top end of the driver seat. The optimization material determination module determines the acoustic optimization material of the corresponding target conduction area in the first conduction area, the second conduction area and the third conduction area according to the conduction decibel number, the preset standard noise decibel value and the preset noise optimization model. The acoustic optimization of the driving and riding area is realized, the quality of the acoustic optimization material is reduced under the condition that the automobile meets the noise reduction standard, and the lightweight of the whole vehicle is realized.

[0107] In some embodiments, the conduction area confirmation module 31 comprises:

[0108] The first conduction area confirmation unit is configured to collect a standard floating height interval of a head corresponding to a human position area, take a lower limit value of the standard floating height interval as a first reference surface, and determine a region from the first reference surface to an internal top end of the whole vehicle model as a first conduction area.

[0109] The second conduction area confirmation unit is configured to collect a center position of a front panel in the whole vehicle model, take a center horizontal surface corresponding to the center position as a second reference surface, and determine a region between the second reference surface and the first reference surface as a second conduction area.

[0110] The third conduction area confirmation unit is configured to determine a region from the second reference surface to an internal bottom end of the whole vehicle model as a third conduction area.

[0111] In some embodiments, the conduction decibel determination module 32 comprises:

[0112] The noise decibel number determination unit is configured to determine a sound source noise decibel number of a preset noise source in the first conduction area, the second conduction area and the third conduction area respectively.

[0113] The noise dissipation amount determination unit is configured to determine a noise dissipation amount of each sound source noise decibel number in the first conduction area, the second conduction area and the third conduction area according to a preset sound propagation loss formula.

[0114] The conduction decibel number determination unit is configured to determine a difference between the noise dissipation amount of the first conduction area, the second conduction area and the third conduction area and the corresponding sound source noise decibel number as a conduction decibel number.

[0115] In some embodiments, the conduction area determination module 33 comprises:

[0116] A virtual boundary line generation unit is configured to determine a top region space of the driver seat and generate at least one virtual boundary line in the top region space of the driver seat.

[0117] An edge point determination unit is configured to equally divide each virtual boundary line to determine at least one virtual edge point.

[0118] A primary conduction region determination unit is configured to determine, as a conduction edge point, an inherent structure intersection point of the whole vehicle model that has a closest distance to each virtual edge point in terms of inherent structure, and determine, as a primary conduction region, an internal region formed by each conduction edge point.

[0119] An offset amount determination unit is configured to determine an offset amount according to the noise dissipation amount and the sound source noise decibel number.

[0120] A secondary conduction region determination unit is configured to determine, as at least one offset edge point, each conduction edge point in combination with the offset amount, and determine, as a secondary conduction region, a region between the conduction edge point and the offset edge point.

[0121] A tertiary conduction region determination unit is configured to determine, as a tertiary conduction region, an external region of the whole vehicle model in the secondary conduction region.

[0122] In some embodiments, the virtual boundary line generation unit comprises:

[0123] An edge position determination unit is configured to collect a translatable position of the driver seat and a width of the driver seat, and determine an active edge position of the driver seat.

[0124] A top region determination unit is configured to determine, as the top region space of the driver seat, a region surrounded by a front surface of the driver seat, the first conduction region, and the active edge position.

[0125] In some embodiments, the offset amount determination unit comprises:

[0126] A function extraction unit is configured to extract a preset offset amount calculation function.

[0127] A loss rate determination unit is configured to determine a unit loss rate of the noise in the air according to the noise dissipation amount and the sound source noise decibel number.

[0128] An offset amount calculation unit is configured to obtain a preset standard noise decibel value, input the preset standard noise decibel value and the unit loss rate of the noise in the air into the preset offset amount calculation function to determine the offset amount.

[0129] In some embodiments, the optimization material determination module 34 comprises:

[0130] A target function acquisition unit is configured to obtain a preset target function in a preset noise optimization model.

[0131] The sound absorption coefficient calculation unit is used to input the various conduction decibel values ​​and the preset standard noise decibel value into the preset target function to determine the sound absorption coefficient of the sound-absorbing material in the primary conduction region, the secondary conduction region, and the tertiary conduction region, respectively.

[0132] The combined material determination unit is used to obtain the unit mass of each candidate material, randomly combine each candidate material, and combine the sound absorption coefficient to obtain a combined material to be determined that is less than or equal to the preset standard noise decibel value.

[0133] The material optimization unit is used to sort the materials to be determined according to their mass from high to low, and determine the material with the lowest mass as the optimized material.

[0134] The acoustic optimization material selection device provided in this embodiment of the invention can execute the acoustic optimization material selection method provided in any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the method.

[0135] Example 4

[0136] Figure 4 This is a schematic diagram of an electronic device 10 implementing an acoustic optimization material selection method according to an embodiment of the present invention. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workbenches, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the invention described and / or claimed herein.

[0137] like Figure 4 As shown, the electronic device 10 includes at least one processor 11 and a memory, such as a read-only memory (ROM) 12 or a random access memory (RAM) 13, communicatively connected to the at least one processor 11. The memory stores computer programs executable by the at least one processor. The processor 11 can perform various appropriate actions and processes based on the computer program stored in the ROM 12 or loaded from storage unit 18 into the RAM 13. The RAM 13 may also store various programs and data required for the operation of the electronic device 10. The processor 11, ROM 12, and RAM 13 are interconnected via a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0138] A plurality of components in the electronic device 10 are connected to the I / O interface 15, including: an input unit 16, such as a keyboard, a mouse, etc.; an output unit 17, such as various types of displays, speakers, etc.; a storage unit 18, such as a magnetic disk, an optical disk, etc.; and a communication unit 19, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information / data with other devices through a computer network, such as the Internet, and / or various telecommunication networks.

[0139] The processor 11 can be various general and / or special purpose processing components with processing and computing capabilities. Some examples of the processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any appropriate processor, controller, microcontroller, etc. The processor 11 performs various methods and processes described above, such as an acoustic optimization material selection method.

[0140] In some embodiments, an acoustic optimization material selection method can be implemented as a computer program tangibly embodied in a computer readable storage medium, such as the storage unit 18. In some embodiments, part or all of the computer program can be loaded and / or installed onto the electronic device 10 via the ROM 12 and / or the communication unit 19. When the computer program is loaded onto the RAM 13 and executed by the processor 11, one or more steps of an acoustic optimization material selection method described above can be performed. Alternatively, in other embodiments, the processor 11 can be configured to perform an acoustic optimization material selection method by any other appropriate means, such as by means of firmware.

[0141] Various implementations of the systems and techniques described above can be realized in digital electronic circuitry, integrated circuitry, a field programmable gate array (FPGA), an application specific integrated circuit (ASIC), a system on a chip (SOC), a programmable logic device (PLD), a computer hardware, firmware, software, and / or combinations thereof. These various implementations can include implementation in one or more computer programs that are executable and / or interpretable on a programmable system including at least one programmable processor, which can be special or general purpose, coupled to receive data and instructions from, and to transmit data and instructions to, a storage system, at least one input device, and at least one output device.

[0142] Computer programs for implementing the methods of the present application can be written in any combination of one or more programming languages. These computer programs can be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer program, when executed, enables the functions / acts specified in the flowcharts and / or block diagrams to be implemented. The computer program can be executed entirely on a machine, partially on a machine, partially on a machine as a standalone software package and partially on a remote machine or entirely on a remote machine or server.

[0143] In the context of the present application, a computer-readable storage medium can be a tangible medium that can contain or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. A computer-readable storage medium can include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium can be a machine-readable signal medium. More specific examples of a machine-readable storage medium will include one or more lines of electrical connections, a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0144] To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user and a keyboard and a pointing device (e.g., a mouse or a trackball) by which the user can provide input to the electronic device. Other kinds of devices can be used to provide for interaction with a user as well; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form, including acoustic, speech, or tactile input.

[0145] The systems and techniques described herein can be implemented in a computing system that includes a back end component, e.g., as a data server, or that includes a middleware component, e.g., an application server, or that includes a front end component, e.g., a user computer having a graphical user interface or a Web browser through which a user can interact with an implementation of the systems and techniques described herein, or any combination of such back end, middleware, or front end components. The components of the system can be interconnected by any form or medium of digital data communication, e.g., a communication network. Examples of communication networks include a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0146] The computing system can include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. A server can be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system, to solve the defects of large management difficulty and weak business scalability in traditional physical host and VPS service.

[0147] It should be understood that the various forms of flow shown above can be re-ordered, added to, or deleted from without departing from the scope of the present disclosure. For example, the steps recited in the present disclosure can be executed in parallel, executed in series, or executed in different orders, as long as the desired results of the technical solutions of the present disclosure can be achieved, and the present disclosure is not limited herein.

[0148] The above detailed description does not constitute a limitation on the protection scope of the present application. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent replacements, and improvements made within the spirit and principles of the present application shall be included in the protection scope of the present application.

Claims

1. A method of acoustic optimization material selection, comprising: The method comprises the following steps: dividing a whole vehicle model into a first conduction area, a second conduction area and a third conduction area according to a human body position area, wherein the first conduction area, the second conduction area and the third conduction area correspond to a head cavity, a waist cavity and a foot cavity of the human body position area; determining a conduction decibel number corresponding to a noise dissipation amount of the first conduction area, the second conduction area and the third conduction area according to a preset noise source; determining a first conduction area, a second conduction area and a third conduction area in the whole vehicle model based on a space at a top end area of a driver seat; determining an acoustic optimization material of a corresponding target conduction area in the first conduction area, the second conduction area and the third conduction area according to the conduction decibel number, a preset standard noise decibel value and a preset noise optimization model, wherein the target conduction area comprises at least one of the first conduction area, the second conduction area and the third conduction area; wherein the determining a first conduction area, a second conduction area and a third conduction area in the whole vehicle model based on a space at a top end area of a driver seat comprises: determining the space at the top end area of the driver seat and generating at least one virtual boundary line in the space at the top end area of the driver seat; equally dividing each virtual boundary line to determine at least one virtual edge point; taking an inherent structure intersection point of the whole vehicle model which has a nearest distance with each virtual edge point as a conduction edge point, and taking an internal area formed by each conduction edge point as the first conduction area; determining an offset amount according to the noise dissipation amount and a sound source noise decibel number; determining at least one offset edge point in combination with each conduction edge point and the offset amount, and determining an area between the conduction edge point and the offset edge point as the second conduction area; determining an area outside the second conduction area of the whole vehicle model as the third conduction area.

2. The method of claim 1, wherein, The dividing a whole vehicle model into a first conduction area, a second conduction area and a third conduction area according to a human body position area comprises: collecting a standard floating height interval of a head corresponding to the human body position area, taking a lower limit value of the standard floating height interval as a first reference surface, and determining an area from the first reference surface to an internal top end of the whole vehicle model as the first conduction area; collecting a center position of a front wall in the whole vehicle model, taking a center horizontal surface corresponding to the center position as a second reference surface, and determining an area between the second reference surface and the first reference surface as the second conduction area; determining an area from the second reference surface to an internal bottom end of the whole vehicle model as the third conduction area.

3. The method of claim 1, wherein, The determining a conduction decibel number corresponding to a noise dissipation amount of the first conduction area, the second conduction area and the third conduction area according to a preset noise source comprises: determining a sound source noise decibel number of the preset noise source in the first conduction area, the second conduction area and the third conduction area respectively; determining the noise dissipation amount of each sound source noise decibel number in the first conduction area, the second conduction area and the third conduction area according to a preset sound propagation loss formula. The noise escape quantity of the first conductive area, the second conductive area and the third conductive area is respectively determined as a difference value corresponding to the sound source noise decibel number as the conductive decibel number.

4. The method of claim 1, wherein, The determination of the driving seat top end region space comprises: Collecting the translatable position of the driving seat and the width of the driving seat, determining the active edge position of the driving seat; The area surrounded by the front of the driving seat as a third reference surface, the first conductive area and the active edge position is determined as the driving seat top end region space.

5. The method of claim 1, wherein, The determination of the offset quantity according to the noise escape quantity and the sound source noise decibel number comprises: Extracting a preset offset quantity calculation function; Determining the unit loss rate of noise in air according to the noise escape quantity and the sound source noise decibel number; Obtaining a preset standard noise decibel value, inputting the preset standard noise decibel value and the unit loss rate of noise in air into the preset offset quantity calculation function to determine the offset quantity.

6. The method of claim 1, wherein, The determination of the acoustic optimization material of the corresponding target conductive area in the first conductive area, the second conductive area and the third conductive area according to the conductive decibel number, a preset standard noise decibel value and a preset noise optimization model comprises: Obtaining a preset target function in the preset noise optimization model; Inputting each conductive decibel number and the preset standard noise decibel value into the preset target function to respectively determine the sound absorption coefficient of the sound absorption material in the first conductive area, the second conductive area and the third conductive area; Obtaining the unit mass of each alternative material, randomly combining each alternative material, and combining the sound absorption coefficient to obtain a to-be-determined combination material less than or equal to the preset standard noise decibel value; Sorting each to-be-determined combination material from high to low according to the mass to determine the to-be-determined combination material with the lowest mass as the optimization material.

7. An acoustic optimization material selection device, comprising: Comprise: The conductive area confirmation module is used for dividing the whole vehicle model into a first conductive area, a second conductive area and a third conductive area according to a human body position area, wherein the first conductive area, the second conductive area and the third conductive area correspond to a head cavity, a waist cavity and a foot cavity of the human body position area; The conductive decibel determination module is used for determining the conductive decibel number corresponding to the noise escape quantity of the first conductive area, the second conductive area and the third conductive area according to a preset noise source; The conductive area determination module is used for determining a first conductive area, a second conductive area and a third conductive area in the whole vehicle model based on a driving seat top end region space; The optimization material determination module is used for determining the acoustic optimization material of the corresponding target conductive area in the first conductive area, the second conductive area and the third conductive area according to the conductive decibel number, a preset standard noise decibel value and a preset noise optimization model, wherein the target conductive area comprises at least one of the first conductive area, the second conductive area and the third conductive area; The conductive area determination module comprises: The virtual edge line generation unit is used for determining the driving seat top end region space and generating at least one virtual edge line in the driving seat top end region space; An edge point determination unit is configured to bisect each of the virtual boundary lines to determine at least one virtual edge point; A first conduction region determination unit is configured to determine, as a conduction edge point, an inherent structure intersection point of the whole vehicle model that has a closest distance to each of the virtual edge points on the basis of inherent structure, and to determine, as the first conduction region, an internal region formed by each of the conduction edge points; An offset amount determination unit is configured to determine an offset amount on the basis of the noise dissipation amount and the sound source noise decibel number; A second conduction region determination unit is configured to determine, in combination with each of the conduction edge points and the offset amount, at least one offset edge point, and to determine, as the second conduction region, a region between the conduction edge points and the offset edge points; A third conduction region determination unit is configured to determine, as the third conduction region, an external region of the whole vehicle model with respect to the second conduction region.

8. An electronic device, comprising: The electronic device includes: at least one processor; and a memory connected in communication with the at least one processor; wherein the memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor to enable the at least one processor to execute the acoustic optimization material selection method of any one of claims 1-6.

9. A computer-readable storage medium, characterized in that, The computer readable storage medium stores computer instructions for causing the processor to implement the acoustic optimization material selection method of any one of claims 1-6 when executed.

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