Design method of soundproof cover for compressor

Abstract

The present application relates to the field of soundproof cover, in order to solve the problem that the soundproof cover for compressor reaches the expected sound insulation effect after the sufficient ventilation device is laid to ensure safety, the production cost increases higher, a design method of soundproof cover for compressor is provided, comprising the following steps: S100, obtaining the noise data of compressor, and obtaining the first sound field data and the second sound field data according to the noise data; S200, according to the first sound field data and the second sound field data, the number of ventilation device, the thickness of resistive sound insulation layer and the thickness of rigid sound insulation layer are obtained. The present application obtains the maximum land area that can be used by the soundproof cover when setting one ventilation device according to the safety needs and the exhaust capacity of the ventilation device, then the composite board material: resistive sound insulation layer + rigid sound insulation layer with the maximum land area size is tested to obtain the relationship between noise data and the thickness of two layers, and the economic cost can be reduced while ensuring the noise reduction effect.

Description

Technical Field

[0001] This invention relates to the field of soundproof enclosures, and more specifically, to a design method for a soundproof enclosure for a compressor. Background Technology

[0002] Compressors generate significant noise during operation, necessitating the use of soundproof enclosures to mitigate this impact. However, due to the nature of compressors, they produce substantial heat, and leaks of lubricating oil, refrigerant, and flammable or explosive gases are possible during operation. For instance, flammable gas compressors often use ethylene and methane as their operating medium; similarly, hydrogen compressors are commonly used in fuel cell applications. Therefore, ventilation systems are essential within the soundproof enclosures used for compressors. However, sound insulation effectiveness is significantly dependent on the enclosure's sealing properties. Consequently, the design and operation of ventilation systems inevitably affect the overall sound insulation performance of the enclosure.

[0003] How to reduce the number of ventilation devices while ensuring the safety of the soundproof enclosure, thereby reducing the noise reduction capability of the materials used in the soundproof enclosure and minimizing economic costs, is one of the urgent problems to be solved. Summary of the Invention

[0004] The purpose of this invention is to provide a design method for a soundproof enclosure for a compressor, which solves the problem that the production cost of existing soundproof enclosures for compressors increases significantly when sufficient ventilation devices are installed to ensure safety, in order to achieve the expected sound insulation effect.

[0005] The embodiments of the present invention are achieved through the following technical solutions:

[0006] A design method for a soundproof enclosure for a compressor includes the following steps:

[0007] S100. Obtain the noise data of the compressor, and obtain the first sound field data and the second sound field data based on the noise data; the frequency of the first sound field data is less than or equal to a preset frequency, and the frequency of the second sound field data is greater than the preset frequency.

[0008] S200. Obtain the number of ventilation devices, the thickness of the resistive sound insulation layer, and the thickness of the rigid sound insulation layer based on the first sound field data and the second sound field data.

[0009] Preferably, S200 includes:

[0010] A100. Based on the minimum evacuation time and the maximum ventilation speed of the ventilation device, determine the maximum floor area required for at least one ventilation device to be installed in the soundproof enclosure.

[0011] A200. When the coverage area of ​​the soundproof enclosure is equal to the maximum floor area, obtain the standard relationship curve between noise data, resistive sound insulation layer thickness, and rigid sound insulation layer thickness.

[0012] A300: Based on actual noise data and standard relationship curves, obtain the thickness of the resistive sound insulation layer and the thickness of the rigid sound insulation layer.

[0013] The number of ventilation devices is determined based on the total coverage area of ​​the soundproof enclosure and the maximum floor space required.

[0014] Preferably, the resistive sound insulation layer is closer to the interior space of the soundproof enclosure than the rigid sound insulation layer;

[0015] The A200 includes:

[0016] With the relative positions between the rigid sound insulation layer and the resistive sound insulation layer remaining unchanged, the noise data at the first detection point is tested, and then the first relationship curve between the thickness of the resistive sound insulation layer, the first noise reduction coefficient K1 and the second noise reduction coefficient K2 is obtained; the first detection point is located at the end of the resistive sound insulation layer, the first noise reduction coefficient is the attenuation rate of the first sound field data at the first detection point, and the second noise reduction coefficient is the attenuation rate of the second sound field data at the first detection point.

[0017] With the relative positions between the rigid sound insulation layer and the resistive sound insulation layer remaining unchanged, the noise data at the second detection point is tested, and then the second relationship curve between the thickness of the rigid sound insulation layer, the third noise reduction coefficient K3, and the fourth noise reduction coefficient K4 is obtained; the first detection point is located on the side of the rigid sound insulation layer away from the resistive sound insulation layer, the third noise reduction coefficient is the attenuation rate of the first sound field data at the second detection point, and the fourth noise reduction coefficient is the attenuation rate of the second sound field data at the second detection point.

[0018] The standard relationship curves include: a first relationship curve and a second relationship curve.

[0019] Preferably, the A300 includes:

[0020] B100: Obtain the ratio of the first sound field data and the second sound field data in the actual noise data to obtain the main sound field data with a larger proportion and the secondary sound field data with a smaller proportion.

[0021] B200, Obtain the preferred noise reduction segment in the first relationship curve and / or the second relationship curve; When the thickness of the preferred noise reduction segment increases, the increase in the attenuation rate corresponding to the main sound field data is greater than the increase in the attenuation rate corresponding to the secondary sound field data;

[0022] B300: Based on the priority noise reduction section and actual noise data, obtain the thickness of the resistive sound insulation layer and the thickness of the rigid sound insulation layer.

[0023] Preferably, the B300 includes: selecting the optimal resistive sound insulation layer thickness corresponding to the priority noise reduction segment in the first relationship curve, and obtaining the first initial noise reduction data of the first sound field data after passing through the resistive sound insulation layer, and the second initial noise reduction data of the second sound field data after passing through the resistive sound insulation layer.

[0024] The thickness of the rigid sound insulation layer is obtained based on the first initial noise reduction data, the second initial noise reduction data, and the second relationship curve.

[0025] Preferably, when the thickness of the resistive sound insulation layer reaches the optimal resistive sound insulation layer thickness, the increase in noise attenuation caused by increasing the unit thickness of the resistive sound insulation layer is greater than the comparative increase value of the preset multiple; the comparative increase value is: the increase in noise attenuation caused by increasing the unit thickness of the rigid sound insulation layer when the thickness of the resistive sound insulation layer reaches the optimal resistive sound insulation layer thickness.

[0026] Preferably, the coverage area of ​​the soundproof enclosure is an integer multiple of the maximum floor area.

[0027] Preferably, the resistive sound insulation layer uses a honeycomb core, and the rigid sound insulation layer uses a metal plate.

[0028] The present invention has at least the following beneficial effects:

[0029] This invention first determines the maximum floor space that a soundproof enclosure can occupy when a ventilation device is installed, based on safety requirements and the ventilation capacity of the ventilation device. Then, it conducts experiments using composite panels of the aforementioned maximum floor space size: a resistive sound insulation layer and a rigid sound insulation layer, to obtain the relationship between noise data and the thickness of the two layers. This allows for the determination of the optimal design values ​​for the thickness of the resistive and rigid sound insulation layers, ensuring noise reduction while minimizing economic costs. The invention also fully considers the weight difference per unit volume between the rigid and resistive sound insulation layers, reducing the thickness or weight of the soundproof enclosure as much as possible. Detailed Implementation

[0030] To make the objectives, methods, and advantages of the embodiments of the present invention clearer, the methods in the embodiments of the present invention will be clearly and completely described. Obviously, the described embodiments are some embodiments of the present invention, but not all embodiments.

[0031] Example 1: A design method for a soundproof enclosure for a compressor, comprising the following steps:

[0032] S100. Obtain the noise data of the compressor, and obtain the first sound field data and the second sound field data based on the noise data; the frequency of the first sound field data is less than or equal to a preset frequency, and the frequency of the second sound field data is greater than the preset frequency.

[0033] S200. Obtain the number of ventilation devices, the thickness of the resistive sound insulation layer, and the thickness of the rigid sound insulation layer based on the first sound field data and the second sound field data.

[0034] In practice, variations in compressor and unit layout and operating status can lead to different noise levels. One of the technical challenges the applicant aims to address is how to customize soundproof enclosures to meet customer needs while maximizing product economy. Generally, within a certain range, thicker sound-absorbing or sound-insulating structures in the enclosure result in better soundproofing. Changing only the structural thickness can effectively control the sound insulation effect. Therefore, the thickness of the soundproof enclosure layers can be adaptively adjusted based on collected noise information.

[0035] This embodiment describes a soundproof enclosure structure that includes at least a rigid sound insulation layer and a resistive sound insulation layer. The rigid sound insulation layer can be made of steel plate, and the resistive sound insulation layer can be made of honeycomb panel. The rigid sound insulation layer reflects sound waves, causing destructive interference between the reflected and incident waves. The resistive sound insulation layer has sound-absorbing holes, which cause the air inside the holes to vibrate and rub against each other during sound wave transmission, converting sound energy into heat energy and dissipating it. The resistive sound insulation layer can be located closer to the interior space of the enclosure than the rigid sound insulation layer, or it can be located between two rigid sound insulation layers. This embodiment only adjusts the thickness of the rigid and resistive sound insulation layers of the soundproof enclosure; other structural features remain unchanged.

[0036] The preset frequency can be set according to the actual situation. For example, the preset frequency can be set to 800Hz to distinguish between high-frequency noise and mid-to-low-frequency noise.

[0037] Because the soundproof enclosure for compressors may involve the leakage of hazardous gases, ventilation devices, such as intake and exhaust fans, are required for safety. Furthermore, ventilation helps balance the temperature inside the enclosure. However, installing ventilation devices requires openings in the enclosure, making the installation locations weak points in sound insulation. Consequently, the number of ventilation devices affects the overall soundproofing effect of the enclosure. In addition, the noise generated during the operation of the ventilation devices also impacts the quietness of the external environment. Therefore, this embodiment introduces an additional control over the number of ventilation devices to ensure the soundproof enclosure provides good safety.

[0038] Since rigid sound insulation layers affect low-to-mid frequency noise more, while resistive sound insulation layers affect mid-to-high frequency noise more, this embodiment processes the noise data to obtain first sound field data and second sound field data, and then adaptively adjusts the thickness of the rigid sound insulation layer and the thickness of the resistive sound insulation layer based on the first sound field data and the second sound field data.

[0039] The noise data processing method is based on existing technology, such as using a low-pass filter to allow only sounds below a set frequency to pass through, thereby obtaining the first sound field data; and using a high-pass filter to allow only sounds above a set frequency to pass through, thereby obtaining the second sound field data.

[0040] As an example, compressor noise data can be obtained by detecting noise at a distance of a set value, such as 1m, from the compressor. When there are multiple compressors arranged in a matrix, noise data can be obtained by detecting noise at a distance of a set value, such as 2m, from the center of the matrix.

[0041] Example 2: In this example, S200 includes:

[0042] A100. Based on the minimum evacuation time and the maximum ventilation speed of the ventilation device, determine the maximum floor area required for at least one ventilation device to be installed in the soundproof enclosure.

[0043] A200. When the coverage area of ​​the soundproof enclosure is equal to the maximum floor area, obtain the standard relationship curve between noise data, resistive sound insulation layer thickness, and rigid sound insulation layer thickness.

[0044] A300: Based on actual noise data and standard relationship curves, obtain the thickness of the resistive sound insulation layer and the thickness of the rigid sound insulation layer.

[0045] The number of ventilation devices is determined based on the total coverage area of ​​the soundproof enclosure and the maximum floor space required.

[0046] In practical implementation, the points on the standard relationship curve represent the noise attenuation rate below a specific value under the corresponding resistive and rigid sound insulation layer thicknesses. This specific value can be set according to actual needs, such as 90%. To ensure the safe operation of the compressor inside the soundproof enclosure, the ventilation device needs to have sufficient venting capacity to quickly reduce the concentration of hazardous gases inside the enclosure. The minimum venting time can be set as needed. Based on the minimum venting time and the maximum ventilation speed of a single ventilation device, the maximum air volume that a single ventilation device can discharge within the minimum venting time can be obtained. Given a fixed soundproof enclosure height, the maximum floor space that a single ventilation device can occupy within the soundproof enclosure can be determined. When the actual floor space of the soundproof enclosure is greater than the maximum floor space, the number of ventilation devices needs to be increased to achieve sufficient venting volume within the set minimum venting time. The number of ventilation devices can be obtained based on the ratio of the actual floor space of the soundproof enclosure to the maximum floor space. When the aforementioned ratio is a decimal, the number of ventilation devices is obtained by further calculation.

[0047] In this embodiment, when obtaining the standard curve, the test is conducted with the floor area of ​​the soundproof enclosure as the maximum floor area as the benchmark. A ventilation device is installed on the top wall of the soundproof enclosure. The soundproof enclosure is rectangular in shape, and the floor area of ​​the soundproof enclosure is the area of ​​the top wall of the soundproof enclosure.

[0048] Example 3: In this example, the resistive sound insulation layer is closer to the inner space of the soundproof enclosure than the rigid sound insulation layer;

[0049] The A200 includes:

[0050] With the relative positions between the rigid sound insulation layer and the resistive sound insulation layer remaining unchanged, the noise data at the first detection point is tested, and then the first relationship curve between the thickness of the resistive sound insulation layer, the first noise reduction coefficient K1 and the second noise reduction coefficient K2 is obtained; the first detection point is located at the end of the resistive sound insulation layer, the first noise reduction coefficient is the attenuation rate of the first sound field data at the first detection point, and the second noise reduction coefficient is the attenuation rate of the second sound field data at the first detection point.

[0051] With the relative positions between the rigid sound insulation layer and the resistive sound insulation layer remaining unchanged, the noise data at the second detection point is tested, and then the second relationship curve between the thickness of the rigid sound insulation layer, the third noise reduction coefficient K3, and the fourth noise reduction coefficient K4 is obtained; the first detection point is located on the side of the rigid sound insulation layer away from the resistive sound insulation layer, the third noise reduction coefficient is the attenuation rate of the first sound field data at the second detection point, and the fourth noise reduction coefficient is the attenuation rate of the second sound field data at the second detection point.

[0052] The standard relationship curves include: a first relationship curve and a second relationship curve.

[0053] In the specific implementation process, after the sound wave passes through the resistive sound insulation layer, it comes into contact with the rigid sound insulation layer. At this time, in addition to absorbing the sound energy, the rigid sound insulation layer will also reflect a part of the sound wave. The reflection of this part of the sound wave will affect the attenuation effect of the sound wave in the resistive sound insulation layer. Therefore, in this embodiment, when obtaining the standard curve, the sound insulation effect of the resistive sound insulation layer and the sound insulation effect of the rigid sound insulation layer are not tested separately. Instead, after the two are installed in an overlapping manner, the test point is set at the end of the resistive sound insulation layer that is close to the rigid sound insulation layer. Then, the noise attenuation rate is tested when the thickness of the resistive sound insulation layer changes, and the first noise reduction coefficient and the second noise reduction coefficient are obtained. Furthermore, the reflection of sound waves by a rigid sound insulation layer is largely related to the angle of incidence and surface roughness. When testing the first and second noise reduction coefficients, the thickness of the rigid sound insulation layer can be kept constant. However, the sound absorption holes of the resistive sound insulation layer will affect the angle of incidence. When only the thickness of the resistive sound insulation layer is changed, the angle of incidence of the sound wave is basically determined. Therefore, under the method of obtaining the first and second noise reduction coefficients provided in this embodiment, the noise reduction effect of the thickness of the resistive sound insulation layer on noise can be simply characterized when the reflectivity of the rigid sound insulation layer to sound waves is constant.

[0054] The third and fourth noise reduction coefficients are the attenuation rates of the sound wave from the first detection point to the second detection point.

[0055] In this embodiment, the attenuation rate is based on sound intensity.

[0056] As an example, after detecting noise data from a compressor or compressor unit, the noise data is divided into first sound field data and second sound field data. At this point, assuming the thickness of the resistive sound insulation layer is x and the thickness of the rigid sound insulation layer is y, the corresponding attenuation rate can be obtained through a function fitted to the first and second relationship curves. Furthermore, the noise level after passing through the soundproof enclosure can be represented by expressions for x and y. Based on the set maximum noise reduction value, multiple sets of x and y values ​​that meet the requirements can be obtained.

[0057] As an example, the most economical x and y values ​​can be selected based on the price of resistive and rigid sound insulation layers.

[0058] As an example, the minimum result of x and y can also be selected as the design value to ensure the product thickness is minimized, reducing volume and transportation costs, etc.

[0059] As an example, the first and second relationship curves can be finite curves, for example, setting the maximum thickness of the resistive sound insulation layer and the rigid sound insulation layer to 3cm.

[0060] As an example, during the acquisition of the standard curve, the ventilation device can maintain either the maximum speed or the normal speed.

[0061] As an example, experiments can be conducted based on the noise frequency bands of common compressors. For instance, when testing the first noise reduction coefficient, the frequency band corresponding to the first sound field data can be divided into several segments at dividing points. After testing the noise reduction coefficient of the sound wave at each dividing point, the average value can be taken. A weighted average can also be calculated with reference to ISO 354.

[0062] Example 4: The A300 includes:

[0063] B100: Obtain the ratio of the first sound field data and the second sound field data in the actual noise data to obtain the main sound field data with a larger proportion and the secondary sound field data with a smaller proportion.

[0064] B200, Obtain the preferred noise reduction segment in the first relationship curve and / or the second relationship curve; When the thickness of the preferred noise reduction segment increases, the increase in the attenuation rate corresponding to the main sound field data is greater than the increase in the attenuation rate corresponding to the secondary sound field data;

[0065] B300: Based on the priority noise reduction section and actual noise data, obtain the thickness of the resistive sound insulation layer and the thickness of the rigid sound insulation layer.

[0066] In the specific implementation process, in order to control the thickness as much as possible, this embodiment prioritizes noise reduction processing on the sound field data, which accounts for a high proportion of the actual noise data, thereby obtaining a priority noise reduction segment. In the priority noise reduction segment, the increase in design thickness leads to more attenuation of the main sound field data. Since it accounts for a large proportion of the total noise, the change in thickness has a better effect on promoting overall noise reduction, thus achieving the required noise reduction effect at a lower thickness.

[0067] Example 5: The B300 includes: selecting the optimal resistive sound insulation layer thickness corresponding to the priority noise reduction segment in the first relationship curve, and obtaining the first initial noise reduction data of the first sound field data after passing through the resistive sound insulation layer, and the second initial noise reduction data of the second sound field data after passing through the resistive sound insulation layer.

[0068] The thickness of the rigid sound insulation layer is obtained based on the first initial noise reduction data, the second initial noise reduction data, and the second relationship curve.

[0069] In practical implementation, rigid sound insulation layers typically use metal plates such as steel sheets, which are relatively heavy. Resistive sound insulation layers, on the other hand, use honeycomb cores, which have high porosity. For the same volume, the weight of a resistive sound insulation layer is significantly lower than that of a rigid sound insulation layer. Therefore, this embodiment provides a solution with a thinner rigid sound insulation layer. This embodiment uses a resistive sound insulation layer as the primary sound insulation material to minimize noise, and then applies a rigid sound insulation layer for further sound insulation, thus reducing the thickness of the rigid sound insulation layer.

[0070] The first initial noise reduction data and the second initial noise reduction data are equivalent to the noise data at the first detection point. Based on the preset noise level after noise reduction, the minimum attenuation rate of the sound wave passing through the rigid sound insulation layer can be obtained, and the thickness of the rigid sound insulation layer can be obtained through the second relationship curve.

[0071] Example 6: In this example, when the thickness of the resistive sound insulation layer reaches the optimal resistive sound insulation layer thickness, the increase in noise attenuation caused by increasing the unit thickness of the resistive sound insulation layer is greater than the comparative increase value of the preset multiple; the comparative increase value is: the increase in noise attenuation caused by increasing the unit thickness of the rigid sound insulation layer when the thickness of the resistive sound insulation layer reaches the optimal resistive sound insulation layer thickness.

[0072] In practical implementation, the average resistive noise reduction coefficient can be a weighted average, which is equal to the proportion of the first sound field data * K1 + the proportion of the second sound field data * K2. The calculation method for the average rigid noise reduction coefficient can refer to that of the average resistive noise reduction coefficient. The noise reduction effect of a rigid sound insulation layer is roughly proportional to the logarithm of its thickness. Its core mechanism is mainly dominated by the mass law, that is, its sound insulation effect depends more on the mass per unit area of ​​the material. However, the attenuation of sound waves through a resistive sound insulation layer is not only related to its own structure, but also to the reflection of sound waves by the rigid sound insulation layer. Therefore, compared with a rigid sound insulation layer, the relationship between the noise reduction effect of a resistive sound insulation layer and its thickness is more deviating from a direct proportional relationship. As can be seen from the above, when the thickness of the resistive sound insulation layer increases, the first and second noise reduction coefficients are best obtained through the first relationship curve, rather than simply increasing or decreasing proportionally, or calculated by theoretical formulas, in order to reduce deviation. When the thickness of the resistive sound insulation layer increases by a unit length, the resulting noise reduction effect is not necessarily higher than that of the rigid sound insulation layer when its thickness increases by a unit length. Blindly increasing the thickness of the resistive sound insulation layer could lead to an excessively thick overall soundproof enclosure. Therefore, this embodiment, while selecting the optimal resistive sound insulation layer thickness within the priority noise reduction segment of the first relationship curve, further limits the thickness. This ensures that the resistive sound insulation layer not only has a better noise reduction effect on the larger proportion of sound field data, but also that if its thickness continues to increase by a unit length, the growth rate of noise attenuation will be lower than the preset multiple of the growth rate brought by increasing the thickness of the rigid sound insulation layer by a unit length. Although the thickness of the rigid sound insulation layer and the noise reduction effect are not strictly proportional, they are approximately proportional, and the average growth rate can be easily obtained from the second relationship curve. Furthermore, the correlation curve between sound insulation and surface density can be obtained based on the theoretical formula of the mass law and the frequency distribution of noise, and then the growth rate corresponding to the rigid sound insulation layer can be obtained from the average slope of the curve. As can be seen from the foregoing, when the rigid sound insulation layer is increased by a unit thickness, a fixed noise attenuation value can be obtained. Therefore, the noise attenuation rate corresponding to the optimal resistive sound insulation layer thickness can be easily preset. That is, after the thickness of the resistive sound insulation layer reaches the optimal resistive sound insulation layer thickness, if the thickness is further increased by a unit thickness, the noise attenuation value will be much smaller than the attenuation value corresponding to the rigid sound insulation layer.

[0073] As an example, the preset magnification can be set as needed, for example, a preset magnification of 0.6. When the noise reduction value is 10dB after the rigid sound insulation layer increases by a unit thickness, it can be preset that after the thickness of the resistive sound insulation layer reaches the optimal resistive sound insulation layer thickness, if the thickness is further increased by a unit thickness, the noise reduction value is less than or equal to 6dB. This means that after the resistive sound insulation layer reaches the optimal resistive sound insulation layer thickness, further increasing the thickness will have a smaller noise reduction effect, so the thickness of the rigid sound insulation layer is increased instead.

[0074] Within a certain range, the growth trend of the first relationship curve gradually flattens out as the thickness of the resistive sound insulation layer increases.

[0075] Example 7: In this example, the coverage area of ​​the soundproof enclosure is an integer multiple of the maximum floor area.

[0076] In the specific implementation process, assuming that the coverage area of ​​the soundproof enclosure is 5.4 times the maximum floor area in A100, at least 6 ventilation devices are required. However, the installation of ventilation devices will affect the sound insulation effect of the soundproof enclosure. If the coverage area of ​​the soundproof enclosure is less than 6 times the maximum floor area, the noise reduction effect of the resistive sound insulation layer thickness and the rigid sound insulation layer thickness obtained by the design method provided by this invention is difficult to meet the requirements when 6 ventilation devices are installed. Therefore, the coverage area of ​​the soundproof enclosure needs to be set to 6 times the maximum floor area.

[0077] Example 8: In this example, the resistive sound insulation layer uses a honeycomb core, and the rigid sound insulation layer uses a metal plate.

[0078] In the specific implementation process, steel plates can be used for the metal plates, and the porosity of the honeycomb core can be selected according to the needs.

[0079] The above are merely preferred embodiments of the present invention and are not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A design method for a soundproof enclosure for a compressor, characterized in that, Includes the following steps: S100: Obtain the noise data of the compressor, and obtain the first sound field data and the second sound field data based on the noise data; The frequency of the first sound field data is less than or equal to a preset frequency, and the frequency of the second sound field data is greater than a preset frequency; S200. Obtain the number of ventilation devices, the thickness of the resistive sound insulation layer, and the thickness of the rigid sound insulation layer based on the first sound field data and the second sound field data. S200 includes: A100. Based on the minimum evacuation time and the maximum ventilation speed of the ventilation device, determine the maximum floor area required for at least one ventilation device to be installed in the soundproof enclosure. A200. When the coverage area of ​​the soundproof enclosure is equal to the maximum floor area, obtain the standard relationship curve between noise data, resistive sound insulation layer thickness, and rigid sound insulation layer thickness. A300: Based on actual noise data and standard relationship curves, obtain the thickness of the resistive sound insulation layer and the thickness of the rigid sound insulation layer. The number of ventilation devices should be determined based on the total coverage area of ​​the soundproof enclosure and the maximum floor area. The resistive sound insulation layer is closer to the interior space of the soundproof enclosure than the rigid sound insulation layer; The A200 includes: With the relative positions between the rigid sound insulation layer and the resistive sound insulation layer remaining unchanged, the noise data at the first detection point is tested, and then the first relationship curve between the thickness of the resistive sound insulation layer, the first noise reduction coefficient K1 and the second noise reduction coefficient K2 is obtained; the first detection point is located at the end of the resistive sound insulation layer, the first noise reduction coefficient is the attenuation rate of the first sound field data at the first detection point, and the second noise reduction coefficient is the attenuation rate of the second sound field data at the first detection point. With the relative positions between the rigid sound insulation layer and the resistive sound insulation layer remaining unchanged, the noise data at the second detection point is tested, and then the second relationship curve between the thickness of the rigid sound insulation layer, the third noise reduction coefficient K3, and the fourth noise reduction coefficient K4 is obtained; the first detection point is located on the side of the rigid sound insulation layer away from the resistive sound insulation layer, the third noise reduction coefficient is the attenuation rate of the first sound field data at the second detection point, and the fourth noise reduction coefficient is the attenuation rate of the second sound field data at the second detection point. The standard relationship curves include: a first relationship curve and a second relationship curve.

2. The design method according to claim 1, characterized in that, The A300 includes: B100: Obtain the ratio of the first sound field data and the second sound field data in the actual noise data to obtain the main sound field data with a larger proportion and the secondary sound field data with a smaller proportion. B200, Obtain the preferred noise reduction segment in the first relationship curve and / or the second relationship curve; When the thickness of the preferred noise reduction segment increases, the increase in the attenuation rate corresponding to the main sound field data is greater than the increase in the attenuation rate corresponding to the secondary sound field data; B300: Based on the priority noise reduction section and actual noise data, obtain the thickness of the resistive sound insulation layer and the thickness of the rigid sound insulation layer.

3. The design method according to claim 2, characterized in that, The B300 includes: selecting the optimal resistive sound insulation layer thickness corresponding to the priority noise reduction segment in the first relationship curve, and obtaining the first initial noise reduction data of the first sound field data after passing through the resistive sound insulation layer, and the second initial noise reduction data of the second sound field data after passing through the resistive sound insulation layer. The thickness of the rigid sound insulation layer is obtained based on the first initial noise reduction data, the second initial noise reduction data, and the second relationship curve.

4. The design method according to claim 3, characterized in that, When the thickness of the resistive sound insulation layer reaches the optimal resistive sound insulation layer thickness, the increase in noise attenuation caused by increasing the thickness of the resistive sound insulation layer by a unit is greater than the comparative increase value of the preset multiple; the comparative increase value is: the increase in noise attenuation caused by increasing the thickness of the rigid sound insulation layer by a unit is when the thickness of the resistive sound insulation layer reaches the optimal resistive sound insulation layer thickness.

5. The design method according to any one of claims 1-4, characterized in that, The coverage area of ​​the soundproof enclosure is an integer multiple of the maximum floor area.

6. The design method according to claim 5, characterized in that, The resistive sound insulation layer uses a honeycomb core, while the rigid sound insulation layer uses a metal plate.