Method and system for evaluating sound insulation performance of substation or converter station building fireproof plate

Abstract

This application discloses a method and system for evaluating the sound insulation performance of fireproof panels in substations or converter stations. The method includes: obtaining the incident angle of sound waves on the fireproof panel; analyzing the propagation path of sound waves within the fireproof panel based on the incident angle to obtain sound energy distribution characteristic data of the sound waves in the thickness direction of the fireproof panel; correcting the first acoustic impedance of the sound waves at the boundary of the fireproof panel according to the sound energy distribution characteristic data to obtain a corrected first acoustic impedance; constructing an acoustic transfer function based on the corrected first acoustic impedance; and evaluating the sound insulation performance of the fireproof panel based on the acoustic transfer function. The embodiments of this application can accurately evaluate the sound insulation performance of fireproof panels.

Description

Technical Field

[0001] This application relates to the field of performance evaluation technology for fireproof building panels, and in particular to a method and system for evaluating the sound insulation performance of fireproof building panels in substations or converter stations. Background Technology

[0002] With increasingly stringent industrial safety requirements, the standards for building materials used in substations and converter stations are continuously being upgraded. The high voltage and high current generated by the electrical equipment in these stations pose potential fire and explosion hazards, while the continuous high noise levels threaten the health of personnel. Against this backdrop, the performance evaluation of fireproof building materials for substations and converter stations is becoming increasingly important. By evaluating key performance indicators such as fire resistance, explosion venting, and sound insulation, safety risks can be effectively prevented, ensuring the safe and stable operation of equipment.

[0003] Currently, the evaluation of sound insulation performance still relies on simplified theoretical models, which simplify calculations by setting static boundary conditions. However, this approach ignores the complex propagation mechanism of sound waves inside materials and cannot adapt to the dynamic sound field evolution inside fireproof boards in actual engineering projects. This makes it difficult for the model to accurately reflect the real acoustic performance of fireproof boards, ultimately affecting the evaluation of sound insulation performance. Summary of the Invention

[0004] This application provides a method and system for evaluating the sound insulation performance of fireproof panels in substations or converter stations, in order to solve the problem in the prior art where simplified calculations by setting static boundary conditions make it difficult for the model to accurately reflect the true acoustic performance of the fireproof panels, ultimately affecting the evaluation of sound insulation performance.

[0005] To achieve the above objectives, this application provides a method for evaluating the sound insulation performance of fireproof panels in substations or converter stations, comprising:

[0006] Obtain the incident angle of sound waves on the fireproof board of the building;

[0007] Based on the incident angle, the propagation path of the sound wave inside the fireproof board of the building is analyzed to obtain the sound energy distribution characteristic data of the sound wave in the thickness direction of the fireproof board.

[0008] Based on the acoustic energy distribution characteristic data, the first acoustic impedance of the sound wave at the boundary of the building fireproof board is corrected to obtain the corrected first acoustic impedance.

[0009] Based on the corrected first acoustic impedance, construct the acoustic transfer function;

[0010] The sound insulation performance of building fireproof boards is evaluated based on the acoustic transfer function.

[0011] As an improvement to the above scheme, the step of correcting the first acoustic impedance of the sound wave at the boundary of the building fireproof board based on the acoustic energy distribution characteristic data to obtain the corrected first acoustic impedance includes:

[0012] Based on the preset correspondence, the basic correction coefficient corresponding to the changing trend of the sound energy distribution characteristic data is obtained;

[0013] Obtain the first acoustic impedance of the sound wave at the boundary of the building's fireproof board and the second acoustic impedance of the sound wave in the air;

[0014] Based on the first acoustic impedance and the second acoustic impedance, the acoustic impedance mismatch is calculated; wherein, the acoustic impedance mismatch is used to measure the difference in acoustic properties between air and building fireproof panels;

[0015] The final correction coefficient is obtained based on the acoustic impedance mismatch, the incident angle, and the basic correction coefficient.

[0016] The first acoustic impedance is corrected using the final correction coefficient to obtain the corrected first acoustic impedance.

[0017] As an improvement to the above solution, the step of analyzing the propagation path of sound waves within the fireproof building board based on the incident angle to obtain sound energy distribution characteristic data of the sound waves in the thickness direction of the fireproof building board includes:

[0018] Based on the incident angle, the propagation path of the sound wave inside the fireproof board of the building is traced to obtain the propagation path complexity of the sound wave inside the fireproof board at the incident angle.

[0019] Based on the propagation path complexity, determine the location of the standing wave node in the building fireproof board;

[0020] Based on the location of the standing wave nodes, finite element meshing and acoustic energy density analysis are performed on the thickness direction of the building fireproof board to obtain acoustic energy distribution characteristic data of the sound wave in the thickness direction; wherein, the acoustic energy distribution characteristic data is acoustic energy density.

[0021] As an improvement to the above scheme, the complexity of the propagation path is determined by the number of times the sound wave is reflected within the building's fireproof board and the propagation distance.

[0022] As an improvement to the above solution, determining the location of the standing wave node in the building fireproof board based on the propagation path complexity includes:

[0023] Based on the propagation path complexity, a multilayer perceptron neural network is used to calculate the phase value of the sound wave at adjacent positions in the thickness direction; the multilayer perceptron neural network is pre-trained using the sample propagation path complexity, sample sound wave frequency, and sample position coordinates.

[0024] If the phase value of the adjacent position exceeds a preset threshold, then the position coordinates with a phase value of zero or an integer multiple of π among the phase values ​​of the adjacent positions are taken as standing wave nodes.

[0025] As an improvement to the above scheme, based on the location of the standing wave nodes, finite element meshing and acoustic energy density analysis are performed on the thickness direction of the building fireproof board to obtain acoustic energy distribution characteristic data of the sound wave in the thickness direction, including:

[0026] Based on the standing wave node positions, the grid size is determined; the grid size is less than or equal to the minimum distance between adjacent standing wave node positions.

[0027] Based on the grid size, the thickness direction of the building fireproof board is divided into several grids using finite element meshing.

[0028] Based on the wave equation, calculate the sound pressure value of the sound wave at the nodes of several grids.

[0029] Based on the sound pressure value, the sound energy distribution characteristics of the sound wave in the thickness direction are obtained.

[0030] As an improvement to the above scheme, the step of constructing the acoustic transfer function based on the modified first acoustic impedance includes:

[0031] Calculate the transmission coefficient based on the corrected first acoustic impedance;

[0032] Based on the transmission coefficient, an acoustic transfer function is constructed.

[0033] As an improvement to the above solution, the evaluation of the sound insulation performance of the building fireproof board based on the acoustic transfer function includes:

[0034] Using the acoustic transfer function, the sound insulation of the building fireproof board at different frequencies is obtained;

[0035] The sound insulation of the building fireproof board is obtained by weighting the sound insulation values ​​of different frequencies.

[0036] To achieve the above objectives, this application also provides a sound insulation performance evaluation system for fireproof panels in substations or converter stations, comprising:

[0037] The first acquisition module is used to acquire the incident angle of sound waves on the fireproof board of the building;

[0038] The second acquisition module is used to analyze the propagation path of the sound wave inside the fireproof board of the building based on the incident angle, and to acquire the sound energy distribution characteristic data of the sound wave in the thickness direction of the fireproof board of the building.

[0039] The correction module is used to correct the first acoustic impedance of the sound wave at the boundary of the building fireproof board based on the sound energy distribution characteristic data, so as to obtain the corrected first acoustic impedance.

[0040] A construction module is used to construct an acoustic transfer function based on the modified first acoustic impedance;

[0041] An evaluation module is used to evaluate the sound insulation performance of building fireproof panels based on the acoustic transfer function.

[0042] As an improvement to the above scheme, the step of correcting the first acoustic impedance of the sound wave at the boundary of the building fireproof board based on the acoustic energy distribution characteristic data to obtain the corrected first acoustic impedance includes:

[0043] Based on the preset correspondence, the basic correction coefficient corresponding to the changing trend of the sound energy distribution characteristic data is obtained;

[0044] Obtain the first acoustic impedance of the sound wave at the boundary of the building's fireproof board and the second acoustic impedance of the sound wave in the air;

[0045] Based on the first acoustic impedance and the second acoustic impedance, the acoustic impedance mismatch is calculated; wherein, the acoustic impedance mismatch is used to measure the difference in acoustic properties between air and building fireproof panels;

[0046] The final correction coefficient is obtained based on the acoustic impedance mismatch, the incident angle, and the basic correction coefficient.

[0047] The first acoustic impedance is corrected using the final correction coefficient to obtain the corrected first acoustic impedance.

[0048] Compared with existing technologies, the present application provides a method and system for evaluating the sound insulation performance of fireproof panels in substations or converter stations. This method corrects the first acoustic impedance of the sound wave at the boundary of the fireproof panel by using acoustic energy distribution characteristic data of the sound wave along the thickness direction of the fireproof panel, obtaining a corrected first acoustic impedance. Based on the corrected first acoustic impedance, an acoustic transfer function is constructed. Based on the acoustic transfer function, the sound insulation performance of the fireproof panel is evaluated. Therefore, the present application fully considers the propagation of sound waves within the fireproof panel and corrects the first acoustic impedance of the sound wave at the boundary of the fireproof panel by using acoustic energy distribution characteristic data of the sound wave along the thickness direction of the fireproof panel, thereby achieving an accurate sound insulation performance evaluation. Attached Figure Description

[0049] Figure 1 This is a flowchart of a method for evaluating the sound insulation performance of fireproof boards in substations or converter stations, provided in an embodiment of this application.

[0050] Figure 2This is a structural block diagram of a sound insulation performance evaluation system for fireproof boards in substations or converter stations, provided in an embodiment of this application. Detailed Implementation

[0051] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of this application.

[0052] In the description of this application, the sequence number of each process does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.

[0053] In this application description, the terms "exemplary" or "for example" are used to indicate examples, illustrations, or explanations. Any embodiment or design described as "exemplary" or "for example" in the embodiments of this application should not be construed as being more preferred or advantageous than other embodiments or designs. Specifically, the use of terms such as "exemplary" or "for example" is intended to present the relevant concepts in a specific manner.

[0054] In this application description, the terms "first," "second," etc., are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented, for example, in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus. The term "based on" means "at least partially based on." The term "according to" means "at least partially according to." The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments." The term "and / or" means at least one of the connected objects, such as A and / or B, indicating three cases: including only A, only B, and both A and B. Unless otherwise stated, the term "multiple" means two or more.

[0055] See Figure 1 , Figure 1This is a flowchart illustrating a method for evaluating the sound insulation performance of fireproof panels in substations or converter stations, as provided in an embodiment of this application. The method includes:

[0056] S1. Obtain the incident angle of the sound wave on the fireproof board of the building;

[0057] S2. Based on the incident angle, analyze the propagation path of the sound wave inside the fireproof board of the building to obtain the sound energy distribution characteristic data of the sound wave in the thickness direction of the fireproof board of the building.

[0058] S3. Based on the sound energy distribution characteristic data, the first acoustic impedance of the sound wave at the boundary of the building fireproof board is corrected to obtain the corrected first acoustic impedance.

[0059] S4. Construct the acoustic transfer function based on the corrected first acoustic impedance;

[0060] S5. Based on the acoustic transfer function, evaluate the sound insulation performance of the building fireproof board.

[0061] The embodiments of this application fully consider the propagation of sound waves inside the fireproof board of a building. By using the sound energy distribution characteristic data of sound waves in the thickness direction of the fireproof board, the first acoustic impedance of the sound waves at the boundary of the fireproof board is corrected, so that the boundary conditions are closer to the actual sound field environment, thereby achieving an accurate sound insulation performance assessment.

[0062] In one optional embodiment, the step of correcting the first acoustic impedance of the sound wave at the boundary of the building fireproof board based on the acoustic energy distribution characteristic data to obtain the corrected first acoustic impedance includes:

[0063] Based on the preset correspondence, the basic correction coefficient corresponding to the changing trend of the sound energy distribution characteristic data is obtained;

[0064] Obtain the first acoustic impedance of the sound wave at the boundary of the building's fireproof board and the second acoustic impedance of the sound wave in the air;

[0065] Based on the first acoustic impedance and the second acoustic impedance, the acoustic impedance mismatch is calculated; wherein, the acoustic impedance mismatch is used to measure the difference in acoustic properties between air and building fireproof panels;

[0066] The final correction coefficient is obtained based on the acoustic impedance mismatch, the incident angle, and the basic correction coefficient.

[0067] The first acoustic impedance is corrected using the final correction coefficient to obtain the corrected first acoustic impedance.

[0068] It is worth noting that the acquisition and application of acoustic energy distribution characteristic data form the basis for boundary condition correction. The changing trend of acoustic energy distribution characteristic data reflects the rate of change of acoustic energy along the thickness of the building's fireproof board. This changing trend can be specifically represented as the acoustic energy density gradient; a large gradient value indicates a rapid change in acoustic energy in that region. A pre-established correspondence between the changing trend of acoustic energy distribution characteristic data and the basic correction coefficient is used to determine the corresponding basic correction coefficient. This basic correction coefficient strengthens the correction to the first acoustic impedance, making the boundary conditions closer to the actual sound field environment.

[0069] Specifically, the boundary condition is the first acoustic impedance at the boundary of the building's fireproof board. The acoustic impedance is obtained by multiplying the medium density by the sound wave velocity. Specifically, the first acoustic impedance is the product of the density at the boundary of the building's fireproof board and the sound wave velocity at the boundary of the building's fireproof board; the second acoustic impedance is the product of the air density and the sound wave velocity in the air.

[0070] In one possible implementation, for fiber-reinforced calcium silicate fireproof building boards, the density at the boundary may reach 1500 kg / m³, the sound velocity is approximately 2800 m / s, and the calculated acoustic impedance is approximately 4.2 × 10⁻⁶. 6 Pa·s / m. This value is significantly different from the air acoustic impedance of 415 Pa·s / m, causing strong sound wave reflection at the interface. The physical meaning of acoustic impedance mismatch lies in measuring the difference in acoustic properties between the media on both sides of the interface, namely air and the building's fireproof board. This can be achieved through the formula... calculate, This represents the first acoustic impedance of the sound wave at the boundary of the building's fireproof board. This represents the second acoustic impedance of the sound wave in air. When the acoustic impedances of the two media are equal, the acoustic impedance mismatch is zero, and the sound wave is completely transmitted; when the difference is extremely large, the acoustic impedance mismatch approaches 1, and the sound wave is almost entirely reflected. The introduction of the incident angle takes into account the effect of oblique incidence. When the incident angle is perpendicular, cos(0) = 1, and the final correction coefficient is the largest; when the incident angle is grazing, cos(π / 2) = 0, and the final correction coefficient tends to zero.

[0071] Specifically, the acoustic impedance mismatch, the cosine of the incident angle, and the basic correction factor are multiplied to obtain the final correction factor; the final correction factor is added to the first acoustic impedance before correction to obtain the first acoustic impedance after correction.

[0072] In one optional embodiment, the step of analyzing the propagation path of the sound wave within the fireproof building board based on the incident angle to obtain sound energy distribution characteristic data of the sound wave in the thickness direction of the fireproof building board includes:

[0073] Based on the incident angle, the propagation path of the sound wave inside the fireproof board of the building is traced to obtain the propagation path complexity of the sound wave inside the fireproof board at the incident angle.

[0074] Based on the propagation path complexity, determine the location of the standing wave node in the building fireproof board;

[0075] Based on the location of the standing wave nodes, finite element meshing and acoustic energy density analysis are performed on the thickness direction of the building fireproof board to obtain acoustic energy distribution characteristic data of the sound wave in the thickness direction; wherein, the acoustic energy distribution characteristic data is acoustic energy density.

[0076] In this embodiment of the application, by using the location of standing wave nodes, finite element meshing and acoustic energy density analysis are performed on the thickness direction of the building fireproof board to obtain acoustic energy distribution characteristic data of sound waves in the thickness direction.

[0077] In one alternative embodiment, the propagation path complexity is determined by the number of times the sound wave is reflected within the building's fireproof panel and the propagation distance.

[0078] Specifically, the complexity of the propagation path is evaluated by multiplying the number of reflections by the propagation distance. For example, a product less than 50 indicates a simple path, 50-200 indicates a moderately complex path, and over 200 indicates a highly complex path. This classification method considers both the frequency of reflections and the residence time of sound waves inside the building's fireproof panels, providing a unified standard for evaluating acoustic behavior at different incident angles. By systematically changing the incident angle from 0 degrees to 90 degrees, a complete reflection path characteristic spectrum can be obtained, revealing the influence of the incident angle on sound wave propagation behavior.

[0079] In one optional embodiment, determining the location of the standing wave node in the building fireproof board based on the propagation path complexity includes:

[0080] Based on the propagation path complexity, a multilayer perceptron neural network is used to calculate the phase value of the sound wave at adjacent positions in the thickness direction; the multilayer perceptron neural network is pre-trained using the sample propagation path complexity, sample sound wave frequency, and sample position coordinates.

[0081] If the phase value of the adjacent position exceeds a preset threshold, then the position coordinates with a phase value of zero or an integer multiple of π among the phase values ​​of the adjacent positions are taken as standing wave nodes.

[0082] Specifically, multilayer perceptron neural networks play a crucial role in acoustic phase prediction.

[0083] Specifically, the input layer of this network is designed to receive three types of parameters: propagation path complexity, sound wave frequency, and position coordinates along the thickness of the fireproof building panel. A high propagation path complexity means that the sound wave undergoes multiple reflections within the fireproof panel, resulting in a more complex phase change pattern. The frequency parameter directly affects the wavelength, thus determining the rate of phase change in space. The thickness position coordinates identify the specific location where the phase needs to be calculated. The hidden layers of the neural network implement this complex mapping relationship through nonlinear activation functions.

[0084] In one possible implementation, a dual-hidden-layer structure is employed, with the first hidden layer containing 128 neurons and the second hidden layer containing 64 neurons. This progressively decreasing structure helps extract key features and reduces computational complexity. The phase angle value generated by the output layer ranges from 0 to 2π, representing the instantaneous phase state of the sound wave at that location. The phase difference threshold is set based on the physical principles of standing wave formation.

[0085] It should be noted that when the phase difference between adjacent positions is close to π / 2 or an odd multiple thereof, it indicates that these two positions are close to a wave crest and a wave node, respectively. The preset threshold is usually chosen as π / 2, which corresponds to a phase change of one-quarter of a wavelength. When the calculated phase difference exceeds this threshold, it indicates that a standing wave node may exist between these two positions. Determining standing wave nodes involves phase periodicity analysis. When sound waves form standing waves inside a fireproof building panel, certain particles remain stationary; these positions are called standing wave nodes. By finding positions with phase values ​​of 0, π, 2π, or other integer multiples of π, the spatial coordinates of standing wave nodes can be accurately located. For example, in a 20mm thick panel, standing wave nodes may be found at 5mm, 12mm, and 18mm, dividing the panel's thickness into several vibration regions.

[0086] In one optional embodiment, the step of performing finite element mesh generation and acoustic energy density analysis on the thickness direction of the building fireproof board based on the standing wave node location to obtain acoustic energy distribution characteristic data of the sound wave in the thickness direction includes:

[0087] Based on the standing wave node positions, the grid size is determined; the grid size is less than or equal to the minimum distance between adjacent standing wave node positions.

[0088] Based on the grid size, the thickness direction of the building fireproof board is divided into several grids using finite element meshing.

[0089] Based on the wave equation, calculate the sound pressure value of the sound wave at the nodes of several grids.

[0090] Based on the sound pressure value, the sound energy distribution characteristics of the sound wave in the thickness direction are obtained.

[0091] In this embodiment of the application, the grid size is determined to be less than or equal to the minimum distance between adjacent standing wave node positions, which can both ensure the accuracy of acoustic calculation and optimize calculation efficiency.

[0092] In one possible implementation, the thickness direction of the fireproof building board is meshed using tetrahedral elements, dividing the board into 100 tetrahedral elements, each with a size of 0.2 mm. This fine meshing can capture subtle changes in the sound field. At each mesh node, the sound pressure level is calculated according to the wave equation p = Acos(φ), where the amplitude constant A is determined by the intensity of the sound wave and the acoustic properties of the board, p represents the sound pressure level, and φ represents the phase angle.

[0093] The calculation of sound energy density reveals the energy distribution pattern. Sound pressure can be converted into sound energy density using the formula ε=p² / (2ρc), where p represents the sound pressure value, ρ represents the density of the fire-resistant building board, and c represents the propagation speed of sound waves within the fire-resistant building board.

[0094] In one optional embodiment, constructing the acoustic transfer function based on the modified first acoustic impedance includes:

[0095] Calculate the transmission coefficient based on the corrected first acoustic impedance;

[0096] Based on the transmission coefficient, an acoustic transfer function is constructed.

[0097] Specifically, according to Calculate the frequency points of the sound wave as it propagates from one side of the board to the other. Transmission coefficient ;in, This represents the first acoustic impedance of the corrected sound wave at the boundary of the building material. This represents the second acoustic impedance of a sound wave in air. An acoustic transfer function is constructed to obtain the sound insulation at different frequency points. .

[0098] In one optional embodiment, evaluating the sound insulation performance of the building fireproof board based on the acoustic transfer function includes:

[0099] Using the acoustic transfer function, the sound insulation of the building fireproof board at different frequencies is obtained;

[0100] The sound insulation of the building fireproof board is obtained by weighting the sound insulation values ​​of different frequencies.

[0101] It's worth noting that the weighting of sound insulation at different frequencies stems from the varying sensitivity of the human ear to different sound frequencies. In architectural acoustics, a standardized weighting curve is typically used, with higher weights in the 500-2000Hz range, gradually decreasing in weights for lower and higher frequencies. The weighted summation process multiplies the sound insulation at each frequency point by its corresponding weight and then adds them together to obtain a single numerical value representing the overall sound insulation performance. This method makes the sound insulation performance of different fire-resistant building panels comparable.

[0102] It is worth noting that the comprehensive performance evaluation of building fireproof boards can also be achieved by combining their fire resistance, explosion venting response, and sound insulation performance. Specifically, this is done by normalizing the fire resistance, explosion venting response, and sound insulation performance separately, and then weighting the normalized values ​​to obtain a comprehensive performance score for the building fireproof board. This score comprehensively reflects the overall performance level of the building fireproof board. Furthermore, a grading threshold system can be used to provide a scientific basis for material selection in design. For example, Level 1 is suitable for high-standard buildings, requiring a comprehensive score exceeding 0.85, meaning that all performance aspects are significantly better than the benchmark; Level 2 is suitable for general public buildings; and Level 3 is suitable for ordinary industrial buildings. The evaluation report will detail the original data, normalized values, weighting coefficients, and final score, providing a scientific basis for material selection in design.

[0103] Specifically, standard fire tests provide a unified testing benchmark for evaluating fire resistance performance.

[0104] Specifically, the test was conducted according to the ISO 834 standard temperature rise curve. The temperature reached 576°C within 5 minutes of the test start, 842°C within 30 minutes, and 945°C within 60 minutes. The time it takes for the fire-resistant board to maintain structural integrity under this high-temperature environment is the fire resistance limit time. When the temperature on the unexposed side of the fire-resistant board exceeds 140°C or a penetrating crack appears, it is considered to have lost its integrity. A 20mm thick fiber-reinforced calcium silicate board typically achieves a fire resistance limit of 2-3 hours. The pressure release rate reflects the pressure relief capacity of the fire-resistant board under explosive impact.

[0105] In one possible implementation, explosion simulation tests are used to determine the failure modes and pressure relief times of fire-resistant building panels under different pressure gradients. When the explosion pressure reaches a set threshold, the fire-resistant building panel undergoes controlled rupture, forming a pressure relief channel. The pressure release rate is calculated by dividing the pressure drop per unit time by the area of ​​the fire-resistant building panel, with units of kPa / (m²·s). High-performance explosion-proof fire-resistant building panels can achieve pressure release rates of 500-1000 kPa / (m²·s), effectively reducing explosion overpressure within milliseconds. Normalization processing ensures the comparability of performance indicators with different dimensions.

[0106] It should be noted that the benchmark values ​​specified in the industry standard reflect the basic performance requirements. Fire resistance performance is based on a 1-hour fire resistance limit; a measured 3-hour fire resistance limit results in a normalized value of 3.0. Explosion venting response performance is based on 300 kPa / (m²·s); a measured 600 kPa / (m²·s) results in a normalized value of 2.0. Sound insulation performance is based on 45 dB; a measured 54 dB results in a normalized value of 1.2. This approach preserves information on performance differences while achieving dimensionless measurement.

[0107] See Figure 2 , Figure 2 This is a structural block diagram of a sound insulation performance evaluation system for fireproof panels in substations or converter stations, provided in an embodiment of this application. The sound insulation performance evaluation system for fireproof panels in substations or converter stations includes:

[0108] The first acquisition module 11 is used to acquire the incident angle of the sound wave on the fireproof board of the building;

[0109] The second acquisition module 12 is used to analyze the propagation path of the sound wave inside the fireproof board of the building based on the incident angle, and to acquire the sound energy distribution characteristic data of the sound wave in the thickness direction of the fireproof board of the building.

[0110] The correction module 13 is used to correct the first acoustic impedance of the sound wave at the boundary of the building fireproof board according to the sound energy distribution characteristic data, so as to obtain the corrected first acoustic impedance.

[0111] Construction module 14 is used to construct an acoustic transfer function based on the corrected first acoustic impedance;

[0112] Evaluation module 15 is used to evaluate the sound insulation performance of the building fireproof board based on the acoustic transfer function.

[0113] Optionally, the step of correcting the first acoustic impedance of the sound wave at the boundary of the building fireproof board based on the acoustic energy distribution characteristic data to obtain the corrected first acoustic impedance includes:

[0114] Based on the preset correspondence, the basic correction coefficient corresponding to the changing trend of the sound energy distribution characteristic data is obtained;

[0115] Obtain the first acoustic impedance of the sound wave at the boundary of the building's fireproof board and the second acoustic impedance of the sound wave in the air;

[0116] Based on the first acoustic impedance and the second acoustic impedance, the acoustic impedance mismatch is calculated; wherein, the acoustic impedance mismatch is used to measure the difference in acoustic properties between air and building fireproof panels;

[0117] The final correction coefficient is obtained based on the acoustic impedance mismatch, the incident angle, and the basic correction coefficient.

[0118] The first acoustic impedance is corrected using the final correction coefficient to obtain the corrected first acoustic impedance.

[0119] Optionally, the step of analyzing the propagation path of the sound wave within the fireproof building board based on the incident angle to obtain sound energy distribution characteristic data of the sound wave in the thickness direction of the fireproof building board includes:

[0120] Based on the incident angle, the propagation path of the sound wave inside the fireproof board of the building is traced to obtain the propagation path complexity of the sound wave inside the fireproof board at the incident angle.

[0121] Based on the propagation path complexity, determine the location of the standing wave node in the building fireproof board;

[0122] Based on the location of the standing wave nodes, finite element meshing and acoustic energy density analysis are performed on the thickness direction of the building fireproof board to obtain acoustic energy distribution characteristic data of the sound wave in the thickness direction; wherein, the acoustic energy distribution characteristic data is acoustic energy density.

[0123] Optionally, the propagation path complexity is determined by the number of times the sound wave is reflected within the building's fireproof board and the propagation distance.

[0124] Optionally, determining the location of the standing wave node in the building fireproof board based on the propagation path complexity includes:

[0125] Based on the propagation path complexity, a multilayer perceptron neural network is used to calculate the phase value of the sound wave at adjacent positions in the thickness direction; the multilayer perceptron neural network is pre-trained using the sample propagation path complexity, sample sound wave frequency, and sample position coordinates.

[0126] If the phase value of the adjacent position exceeds a preset threshold, then the position coordinates with a phase value of zero or an integer multiple of π among the phase values ​​of the adjacent positions are taken as standing wave nodes.

[0127] Optionally, based on the location of the standing wave nodes, the step of performing finite element mesh generation and acoustic energy density analysis on the thickness direction of the building fireproof board to obtain acoustic energy distribution characteristic data of the sound wave in the thickness direction includes:

[0128] Based on the standing wave node positions, the grid size is determined; the grid size is less than or equal to the minimum distance between adjacent standing wave node positions.

[0129] Based on the grid size, the thickness direction of the building fireproof board is divided into several grids using finite element meshing.

[0130] Based on the wave equation, calculate the sound pressure value of the sound wave at the nodes of several grids.

[0131] Based on the sound pressure value, the sound energy distribution characteristics of the sound wave in the thickness direction are obtained.

[0132] Optionally, constructing the acoustic transfer function based on the modified first acoustic impedance includes:

[0133] Calculate the transmission coefficient based on the corrected first acoustic impedance;

[0134] Based on the transmission coefficient, an acoustic transfer function is constructed.

[0135] Optionally, the evaluation of the sound insulation performance of the building fireproof board based on the acoustic transfer function includes:

[0136] Using the acoustic transfer function, the sound insulation of the building fireproof board at different frequencies is obtained;

[0137] The sound insulation of the building fireproof board is obtained by weighting the sound insulation values ​​of different frequencies.

[0138] It is worth noting that the working process of each module in the sound insulation performance evaluation system for fireproof panels of substations or converter stations described in the embodiments of this application can refer to the working process of the sound insulation performance evaluation method for fireproof panels of substations or converter stations described in the above embodiments, and will not be repeated here.

[0139] This application provides a sound insulation performance evaluation system for fireproof panels in substations or converter stations. By correcting the first acoustic impedance of the sound wave at the boundary of the fireproof panel based on the incident angle of the sound wave and the acoustic energy distribution characteristics of the sound wave along the thickness direction of the fireproof panel, a corrected first acoustic impedance is obtained. An acoustic transfer function is constructed based on the corrected first acoustic impedance. The sound insulation performance of the fireproof panel is then evaluated based on the acoustic transfer function. Therefore, this application fully considers the propagation of sound waves within the material. By combining the acoustic energy distribution characteristics of the sound wave along the thickness direction of the fireproof panel and the incident angle of the sound wave to correct the first acoustic impedance of the sound wave at the boundary of the fireproof panel, an accurate sound insulation performance evaluation is achieved.

[0140] Furthermore, this application also provides a computer-readable storage medium, which includes a stored computer program; wherein, when the computer program is running, it controls the device where the computer-readable storage medium is located to execute the sound insulation performance evaluation method for fireproof boards of substations or converter stations as described in any of the above embodiments.

[0141] Furthermore, this application also provides a computer program product, including a computer program / instruction, which, when executed by a processor, implements the sound insulation performance evaluation method for fireproof boards in substations or converter stations as described in any of the above embodiments.

[0142] This application provides an embodiment of a sound insulation performance evaluation device for fireproof panels in substations or converter stations, comprising: a processor, a memory, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the steps described in the embodiments of the sound insulation performance evaluation method for fireproof panels in substations or converter stations. Alternatively, when the processor executes the computer program, it implements the functions of each module / unit in the above-described device embodiments.

[0143] For example, the computer program may be divided into one or more modules / units, which are stored in the memory and executed by the processor to complete this application. The one or more modules / units may be a series of computer program instruction segments capable of performing specific functions, which describe the execution process of the computer program in the sound insulation performance evaluation equipment for the fireproof panels of the substation or converter station building.

[0144] The sound insulation performance evaluation equipment for the fireproof panels of substations or converter stations may include, but is not limited to, processors and memory. Those skilled in the art will understand that the schematic diagram is merely an example of the sound insulation performance evaluation equipment for the fireproof panels of substations or converter stations and does not constitute a limitation on the equipment. It may include more or fewer components than illustrated, or combine certain components, or use different components. For example, the sound insulation performance evaluation equipment for the fireproof panels of substations or converter stations may also include input / output devices, network access devices, buses, etc.

[0145] The processor can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or any conventional processor. The processor is the control center of the sound insulation performance evaluation equipment for the fireproof panels of the substation or converter station building, connecting various parts of the equipment via various interfaces and lines.

[0146] The memory can be used to store the computer programs and / or modules. The processor, by running or executing the computer programs and / or modules stored in the memory and calling the data stored in the memory, realizes various functions of the sound insulation performance evaluation equipment for the fireproof boards of the substation or converter station building. The memory may mainly include a program storage area and a data storage area. The program storage area may store the operating system, at least one application program required for a function (such as sound playback function, image playback function, etc.), etc.; the data storage area may store data created based on the use of the mobile phone (such as audio data, phonebook, etc.). In addition, the memory may include high-speed random access memory, and may also include non-volatile memory, such as hard disk, memory, plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, at least one disk storage device, flash memory device, or other volatile solid-state storage device.

[0147] The module / unit integrated into the sound insulation performance evaluation equipment for the fireproof panels of the substation or converter station building, if implemented as a software functional unit and sold or used as an independent product, can be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the above-described embodiments can also be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include: any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a portable hard drive, a magnetic disk, an optical disk, a computer memory, a read-only memory (ROM), a random access memory (RAM), an electrical carrier signal, a telecommunication signal, and a software distribution medium, etc.

[0148] It should be noted that the device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Furthermore, in the accompanying drawings of the device embodiments provided in this application, the connection relationships between modules indicate that they have communication connections, which can be specifically implemented as one or more communication buses or signal lines. Those skilled in the art can understand and implement this without any creative effort.

[0149] The above description is the preferred embodiment of this application. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the principle of this application, and these improvements and modifications are also considered to be within the scope of protection of this application.

Claims

1. A method for evaluating the sound insulation performance of fireproof panels in substations or converter stations, characterized in that, include: Obtain the incident angle of sound waves on the fireproof board of the building; Based on the incident angle, the propagation path of the sound wave inside the fireproof board of the building is analyzed to obtain the sound energy distribution characteristic data of the sound wave in the thickness direction of the fireproof board. Based on the acoustic energy distribution characteristic data, the first acoustic impedance of the sound wave at the boundary of the building fireproof board is corrected to obtain the corrected first acoustic impedance. Based on the corrected first acoustic impedance, construct the acoustic transfer function; The sound insulation performance of the building fireproof board is evaluated based on the acoustic transfer function. The step of correcting the first acoustic impedance of the sound wave at the boundary of the building fireproof board based on the sound energy distribution characteristic data to obtain the corrected first acoustic impedance includes: Based on the preset correspondence, the basic correction coefficient corresponding to the changing trend of the sound energy distribution characteristic data is obtained; Obtain the first acoustic impedance of the sound wave at the boundary of the building's fireproof board and the second acoustic impedance of the sound wave in the air; Based on the first acoustic impedance and the second acoustic impedance, the acoustic impedance mismatch is calculated; wherein, the acoustic impedance mismatch is used to measure the difference in acoustic properties between air and building fireproof panels; The final correction coefficient is obtained based on the acoustic impedance mismatch, the incident angle, and the basic correction coefficient. The first acoustic impedance is corrected using the final correction coefficient to obtain the corrected first acoustic impedance.

2. The method for evaluating the sound insulation performance of fireproof panels in substations or converter stations as described in claim 1, characterized in that, The analysis of the propagation path of the sound wave within the fireproof building board based on the incident angle, and the acquisition of sound energy distribution characteristic data of the sound wave in the thickness direction of the fireproof building board, includes: Based on the incident angle, the propagation path of the sound wave inside the fireproof board of the building is traced to obtain the propagation path complexity of the sound wave inside the fireproof board at the incident angle. Based on the propagation path complexity, determine the location of the standing wave node in the building fireproof board; Based on the location of the standing wave nodes, finite element meshing and acoustic energy density analysis are performed on the thickness direction of the building fireproof board to obtain acoustic energy distribution characteristic data of the sound wave in the thickness direction; wherein, the acoustic energy distribution characteristic data is acoustic energy density.

3. The method for evaluating the sound insulation performance of fireproof panels in substations or converter stations as described in claim 2, characterized in that, The complexity of the propagation path is determined by the number of times the sound wave reflects within the building's fireproof board and the propagation distance.

4. The method for evaluating the sound insulation performance of fireproof panels in substations or converter stations as described in claim 2, characterized in that, Determining the location of the standing wave node in the fireproof building board based on the propagation path complexity includes: Based on the propagation path complexity, a multilayer perceptron neural network is used to calculate the phase value of the sound wave at adjacent positions in the thickness direction; the multilayer perceptron neural network is pre-trained using the sample propagation path complexity, sample sound wave frequency, and sample position coordinates. If the phase value of the adjacent position exceeds a preset threshold, then the position coordinates with a phase value of zero or an integer multiple of π among the phase values ​​of the adjacent positions are taken as standing wave nodes.

5. The method for evaluating the sound insulation performance of fireproof panels in substations or converter stations as described in claim 2, characterized in that, Based on the location of the standing wave nodes, finite element mesh generation and acoustic energy density analysis are performed on the thickness direction of the building fireproof board to obtain acoustic energy distribution characteristic data of the sound wave in the thickness direction, including: Based on the standing wave node positions, the grid size is determined; the grid size is less than or equal to the minimum distance between adjacent standing wave node positions. Based on the grid size, the thickness direction of the building fireproof board is divided into several grids using finite element meshing. Based on the wave equation, calculate the sound pressure value of the sound wave at the nodes of several grids. Based on the sound pressure value, the sound energy distribution characteristics of the sound wave in the thickness direction are obtained.

6. The method for evaluating the sound insulation performance of fireproof panels in substations or converter stations as described in claim 1, characterized in that, The step of constructing the acoustic transfer function based on the corrected first acoustic impedance includes: Calculate the transmission coefficient based on the corrected first acoustic impedance; Based on the transmission coefficient, an acoustic transfer function is constructed.

7. The method for evaluating the sound insulation performance of fireproof panels in substations or converter stations as described in claim 1, characterized in that, The evaluation of the sound insulation performance of building fireproof boards based on the acoustic transfer function includes: Using the acoustic transfer function, the sound insulation of the building fireproof board at different frequencies is obtained; The sound insulation of the building fireproof board is obtained by weighting the sound insulation values ​​of different frequencies.

8. A sound insulation performance evaluation system for fireproof panels in substations or converter stations, characterized in that, include: The first acquisition module is used to acquire the incident angle of sound waves on the fireproof board of the building; The second acquisition module is used to analyze the propagation path of the sound wave inside the fireproof board of the building based on the incident angle, and to acquire the sound energy distribution characteristic data of the sound wave in the thickness direction of the fireproof board of the building. The correction module is used to correct the first acoustic impedance of the sound wave at the boundary of the building fireproof board based on the sound energy distribution characteristic data, so as to obtain the corrected first acoustic impedance. A construction module is used to construct an acoustic transfer function based on the modified first acoustic impedance; An evaluation module is used to evaluate the sound insulation performance of building fireproof boards based on the acoustic transfer function. The step of correcting the first acoustic impedance of the sound wave at the boundary of the building fireproof board based on the sound energy distribution characteristic data to obtain the corrected first acoustic impedance includes: Based on the preset correspondence, the basic correction coefficient corresponding to the changing trend of the sound energy distribution characteristic data is obtained; Obtain the first acoustic impedance of the sound wave at the boundary of the building's fireproof board and the second acoustic impedance of the sound wave in the air; Based on the first acoustic impedance and the second acoustic impedance, the acoustic impedance mismatch is calculated; wherein, the acoustic impedance mismatch is used to measure the difference in acoustic properties between air and building fireproof panels; The final correction coefficient is obtained based on the acoustic impedance mismatch, the incident angle, and the basic correction coefficient. The first acoustic impedance is corrected using the final correction coefficient to obtain the corrected first acoustic impedance.

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