Silencer duct design method, device, equipment and storage medium

Abstract

This invention relates to the field of information processing technology, and in particular to a method, apparatus, device, and storage medium for designing a sound-absorbing duct. It enhances sound wave reflection by adding diamond-shaped and V-shaped frames. The diamond-shaped frames divert the input airflow, allowing for multiple reflections and absorption between the diamond and V-shaped frames, thereby improving noise reduction performance. Furthermore, it acquires measured exhaust air information, including duct geometry, wind speed, and noise spectrum data, and constructs a digital twin model based on these data. A multi-objective optimization model is then built based on the digital twin model, objective function set, and constraint set. This model is used to find the optimal design scheme and output the best design solution. It comprehensively considers multiple objectives, such as noise reduction effect, pressure loss, and manufacturing cost, based on measured data to optimize the structural parameters of the sound-absorbing duct.

Description

Technical Field

[0001] This invention relates to the field of information processing technology, and in particular to a method, apparatus, equipment and storage medium for designing a soundproof duct. Background Technology

[0002] In ventilation and air conditioning systems, the noise generated by the operation of fans is an important factor affecting environmental comfort and equipment performance. To reduce exhaust noise, existing technologies usually use a method of installing a silencer duct on the side of the fan outlet. Common silencer duct structures include a duct body with a sound-absorbing cotton layer on the inner side. When airflow passes through, the sound-absorbing cotton layer absorbs some of the sound waves, thereby achieving a certain degree of noise reduction.

[0003] However, the existing sound-absorbing ducts still have the following shortcomings in practical applications: First, relying solely on the sound-absorbing cotton layer for sound absorption has limited noise absorption effect, especially for low- and mid-frequency noise, making it difficult to effectively reduce noise. Second, the structural parameters of existing sound-absorbing ducts (such as duct length, cross-sectional dimensions, and sound-absorbing cotton layer thickness) are usually selected based on experience, lacking a systematic design optimization method, making it difficult to accurately adapt to different operating conditions (such as wind speed and noise spectrum characteristics). Third, existing designs often only focus on noise reduction effects, neglecting the balance between multiple objectives such as pressure loss and manufacturing costs, resulting in shortcomings in the overall performance of the sound-absorbing ducts. Fourth, there is a lack of design methods that combine with on-site measured data (such as exhaust duct size, wind speed, and noise spectrum), making it impossible to dynamically optimize according to the actual application environment. Summary of the Invention

[0004] In order to overcome the shortcomings of the prior art, the purpose of this invention is to provide a soundproof duct design method, device, equipment and storage medium that can enhance sound wave reflection by adding internal structure to achieve multiple absorption effects, thereby improving noise reduction performance. Moreover, it can optimize the structural parameters of the soundproof duct by taking into account multiple objectives such as noise reduction effect, pressure loss and manufacturing cost based on measured data.

[0005] The first aspect of this invention provides a method for designing a sound-absorbing duct. The sound-absorbing duct includes a duct body, with a rhomboid frame disposed in the middle of the interior of the duct body, and V-shaped frames symmetrically arranged on the upper and lower sides of the interior of the duct body. A reflection channel is provided between the rhomboid frame and the V-shaped frame. Sound-absorbing cotton layers are attached to the inner side of the duct body, the outer side of the rhomboid frame, and the outer side of the V-shaped frame. The method for designing a sound-absorbing duct includes the following steps: acquiring actual exhaust air measurement information, which includes exhaust duct geometric dimension data, wind speed data, and noise spectrum data; and constructing a digital twin based on the exhaust duct geometric dimension data, the wind speed data, and the noise spectrum data. The model is generated; the objective function set and constraint set are determined, and a multi-objective optimization model is constructed based on the digital twin model, the objective function set, and the constraint set; the multi-objective optimization model is used to optimize the design scheme and output the optimal design scheme, which includes the length information of the sound-absorbing duct, the cross-sectional dimensions of the sound-absorbing duct, the interior angle information of the rhombus frame, the side length information of the rhombus frame, the interior angle information of the V-shaped frame, the side length information of the V-shaped frame, the width information of the reflection channel, and the thickness information of the sound-absorbing cotton layer; based on the optimal design scheme, processing instructions for the fabrication of the sound-absorbing duct are generated.

[0006] Optionally, in a first implementation of the first aspect of the present invention, the step of obtaining the exhaust ventilation measurement information, which includes exhaust duct geometric dimension data, wind speed data, and noise spectrum data, includes: collecting wind speed data in the exhaust duct in real time using a wind speed sensor, collecting noise spectrum data of the exhaust duct using a noise sensor; obtaining exhaust duct geometric dimension data; and aligning the wind speed data, the noise spectrum data, and the exhaust duct geometric dimension data with timestamps to form structured exhaust ventilation measurement information.

[0007] Optionally, in a second implementation of the first aspect of the present invention, the step of constructing a digital twin model based on the exhaust duct geometric dimensions data, the wind speed data, and the noise spectrum data includes: establishing a three-dimensional geometric model of the exhaust duct based on the exhaust duct geometric dimensions data; setting fluid simulation boundary conditions and acoustic simulation boundary conditions based on the wind speed data and the noise spectrum data; and coupling the three-dimensional geometric model with the fluid simulation boundary conditions and the acoustic simulation boundary conditions to construct a digital twin model containing the coupling of the flow field and the sound field.

[0008] Optionally, in a third implementation of the first aspect of the present invention, determining the objective function set and the constraint set, and constructing a multi-objective optimization model based on the digital twin model, the objective function set, and the constraint set, includes: determining the objective function set, which includes one or more of a noise reduction effect maximization function, a pressure loss minimization function, and a cost minimization function; determining the constraint set, which includes length and cross-sectional size restrictions of the silencer duct, as well as geometric constraints between various structural parameters; and using the digital twin model as a simulation evaluation engine, embedding the objective function set and the constraint set into a multi-objective optimization algorithm framework to construct the multi-objective optimization model.

[0009] Optionally, in the fourth implementation of the first aspect of the present invention, the step of using the multi-objective optimization model to optimize the design scheme and output the optimal design scheme, wherein the optimal design scheme includes the length information of the silencing duct, the cross-sectional dimensions of the silencing duct, the interior angle information of the rhombus frame, the side length information of the rhombus frame, the interior angle information of the V-shaped frame, the side length information of the V-shaped frame, the width information of the reflection channel, and the thickness information of the sound-absorbing cotton layer, includes: setting the value range of the optimization variables, wherein the optimization variables include the length of the silencing duct, the cross-sectional dimensions of the silencing duct, the interior angle of the rhombus frame, and the side length information of the rhombus frame. The model is calculated using a multi-objective optimization algorithm to iteratively solve the following parameters: length, interior angles of the V-shaped frame, side length of the V-shaped frame, width of the reflection channel, and thickness of the sound-absorbing cotton layer. A Pareto optimal solution set is generated by selecting a set of solutions from the Pareto optimal solution set that meets preset evaluation criteria. The optimal design scheme includes the length of the silencing duct, the cross-sectional dimensions of the silencing duct, the interior angles of the rhombus frame, the side length of the rhombus frame, the interior angles of the V-shaped frame, the side length of the V-shaped frame, the width of the reflection channel, and the thickness of the sound-absorbing cotton layer.

[0010] Optionally, in a fifth implementation of the first aspect of the present invention, generating processing instructions for the fabrication of the sound-absorbing duct based on the optimal design scheme includes: parsing the optimal design scheme to obtain a parsing result, extracting structural parameters of the sound-absorbing duct from the parsing result; converting the structural parameters into processing instructions recognizable by the processing equipment; and sending the processing instructions to the processing equipment to trigger the automated production of the sound-absorbing duct.

[0011] Optionally, in the sixth implementation of the first aspect of the present invention, after generating the processing instructions for the fabrication of the sound-absorbing duct based on the optimal design scheme, the method further includes: collecting the actual structural parameters of the sound-absorbing duct obtained from actual processing; comparing the actual structural parameters with the optimal design scheme to obtain the comparison results; generating a deviation analysis report based on the comparison results; and feeding the deviation analysis report back to the multi-objective optimization model to correct the parameter boundaries of the subsequent optimization process.

[0012] A second aspect of the present invention provides a sound-absorbing duct design device, comprising: an acquisition module for acquiring measured exhaust air information, the measured exhaust air information including exhaust duct geometric dimensions data, wind speed data, and noise spectrum data; a construction module for constructing a digital twin model based on the exhaust duct geometric dimensions data, the wind speed data, and the noise spectrum data; a determination construction module for determining an objective function set and a constraint set, and constructing a multi-objective optimization model based on the digital twin model, the objective function set, and the constraint set; an optimization output module for optimizing the design scheme using the multi-objective optimization model and outputting an optimal design scheme, the optimal design scheme including the length information of the sound-absorbing duct, the cross-sectional dimensions information of the sound-absorbing duct, the interior angle information of the rhombus frame, the side length information of the rhombus frame, the interior angle information of the V-shaped frame, the side length information of the V-shaped frame, the width information of the reflection channel, and the thickness information of the sound-absorbing cotton layer; and a generation module for generating processing instructions for manufacturing the sound-absorbing duct based on the optimal design scheme.

[0013] Optionally, in a first implementation of the second aspect of the present invention, the acquisition module includes: a collection unit, used to collect wind speed data in the exhaust duct in real time through a wind speed sensor and to collect noise spectrum data of the exhaust duct through a noise sensor; an acquisition unit, used to acquire geometric dimension data of the exhaust duct; and an alignment unit, used to perform timestamp alignment on the wind speed data, the noise spectrum data and the geometric dimension data of the exhaust duct to form structured exhaust measurement information.

[0014] Optionally, in a second implementation of the second aspect of the present invention, the construction module includes: a building unit, used to build a three-dimensional geometric model of the exhaust duct based on the exhaust duct geometric dimension data; a setting unit, used to set fluid simulation boundary conditions and acoustic simulation boundary conditions according to the wind speed data and the noise spectrum data; and a coupling construction unit, used to couple the three-dimensional geometric model with the fluid simulation boundary conditions and the acoustic simulation boundary conditions to construct a digital twin model containing the coupling of the flow field and the sound field.

[0015] Optionally, in a third implementation of the second aspect of the present invention, the determining construction module includes: a first determining unit, used to determine an objective function set, the objective function set including one or more of a noise reduction effect maximization function, a pressure loss minimization function, and a cost minimization function; a second determining unit, used to determine a constraint set, the constraint set including length size restrictions, cross-sectional size restrictions, and geometric constraints between various structural parameters of the silencing duct; and an embedding construction unit, used to use the digital twin model as a simulation evaluation engine to embed the objective function set and the constraint set into a multi-objective optimization algorithm framework to construct a multi-objective optimization model.

[0016] Optionally, in a fourth implementation of the second aspect of the present invention, the optimization output module includes: a setting unit, used to set the value range of optimization variables, the optimization variables including the length of the silencing duct, the cross-sectional dimensions of the silencing duct, the interior angle of the rhombus frame, the side length of the rhombus frame, the interior angle of the V-shaped frame, the side length of the V-shaped frame, the width of the reflection channel, and the thickness of the sound-absorbing cotton layer; a solution generation unit, used to iteratively solve the multi-objective optimization model using a multi-objective optimization algorithm to generate a Pareto optimal solution set; and an output selection unit, used to select a set of solutions that satisfy a preset evaluation criterion from the Pareto optimal solution set as the optimal design scheme for output, the optimal design scheme including the length information of the silencing duct, the cross-sectional dimensions information of the silencing duct, the interior angle information of the rhombus frame, the side length information of the rhombus frame, the interior angle information of the V-shaped frame, the side length information of the V-shaped frame, the width information of the reflection channel, and the thickness information of the sound-absorbing cotton layer.

[0017] Optionally, in a fifth implementation of the second aspect of the present invention, the generation module includes: a parsing and extraction unit, used to parse the optimal design scheme, obtain the parsing result, and extract the structural parameters of the silencer duct from the parsing result; a conversion unit, used to convert the structural parameters into processing instructions that can be recognized by the processing equipment; and a sending unit, used to send the processing instructions to the processing equipment to trigger the automated production of the silencer duct.

[0018] Optionally, in the sixth implementation of the second aspect of the present invention, it further includes: a data acquisition module for acquiring the actual structural parameters of the actual processed silencer duct; a comparison generation module for comparing the actual structural parameters with the optimal design scheme to obtain a comparison result and generating a deviation analysis report based on the comparison result; and a feedback module for feeding the deviation analysis report back to the multi-objective optimization model to correct the parameter boundaries of the subsequent optimization process.

[0019] A third aspect of the present invention provides a soundproof duct design device, the soundproof duct design device comprising: a memory and at least one processor, the memory storing instructions; at least one processor calling the instructions in the memory to cause the soundproof duct design device to perform each step of the soundproof duct design method described in any of the preceding claims.

[0020] A fourth aspect of the present invention provides a computer-readable storage medium storing instructions that, when executed by a processor, implement the steps of the sound-absorbing duct design method described in any of the preceding claims.

[0021] In the technical solution of this invention, sound wave reflection can be enhanced by adding a rhombus-shaped frame and a V-shaped frame. The rhombus-shaped frame diverts the input airflow, and the airflow can achieve multiple reflections and absorption between the rhombus-shaped frame and the V-shaped frame, thereby improving noise reduction performance. Moreover, by acquiring actual exhaust air measurement information including exhaust duct geometric dimensions, wind speed data, and noise spectrum data, and constructing a digital twin model based on the exhaust duct geometric dimensions, wind speed data, and noise spectrum data, a multi-objective optimization model is constructed based on the digital twin model, the objective function set, and the constraint condition set. The multi-objective optimization model is used to optimize the design scheme and output the optimal design scheme. It can comprehensively consider multiple objectives such as noise reduction effect, pressure loss, and manufacturing cost based on measured data to perform multi-objective optimization of the structural parameters of the silencer duct. Attached Figure Description

[0022] Figure 1 This is a first flowchart of a sound-absorbing duct design method provided in an embodiment of the present invention; Figure 2 This is a second flowchart of the sound-absorbing duct design method provided in an embodiment of the present invention; Figure 3 This is a third flowchart of the sound-absorbing duct design method provided in an embodiment of the present invention; Figure 4 This is a fourth flowchart of the sound-absorbing duct design method provided in an embodiment of the present invention; Figure 5 A schematic diagram of a sound-absorbing duct design device provided in an embodiment of the present invention; Figure 6 Another structural schematic diagram of the sound-absorbing duct design device provided in an embodiment of the present invention; Figure 7 This is a structural schematic diagram of the sound-absorbing duct design equipment provided in an embodiment of the present invention; Figure 8 This is a structural exploded view of a soundproof duct. Figure 9 This is a schematic diagram of the internal structure of a soundproof duct; In the diagram: 1. Tube body; 2. Rhomboid frame; 3. V-shaped frame; 4. Reflection channel; 5. Sound-absorbing cotton layer. Detailed Implementation

[0023] This invention provides a design method, device, equipment, and storage medium for a sound-absorbing duct. It can enhance sound wave reflection by adding internal structures to achieve multiple absorption effects, thereby improving noise reduction performance. Moreover, it can optimize the structural parameters of the sound-absorbing duct by comprehensively considering multiple objectives such as noise reduction effect, pressure loss, and manufacturing cost based on measured data.

[0024] The terms "first," "second," "third," "fourth," etc. (if present) in the specification, claims, and accompanying drawings of this invention 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 described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" or "having" and any variations thereof are intended to cover a 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.

[0025] Please see Figures 8-9 The sound-absorbing duct includes a duct body 1. A diamond-shaped frame 2 is provided in the middle of the interior of the duct body 1, and V-shaped frames 3 are symmetrically provided on the upper and lower sides of the interior. A reflection channel 4 is provided between the diamond-shaped frame 2 and the V-shaped frame 3. The inner side of the duct body 1, the outer side of the diamond-shaped frame 2 and the outer side of the V-shaped frame 3 are all covered with a sound-absorbing cotton layer 5.

[0026] For ease of understanding, the specific process of the embodiments of the present invention is described below. Please refer to [link / reference]. Figure 1 One embodiment of the sound-absorbing duct design method in this invention includes: 101. Obtain actual exhaust air measurement information, including exhaust duct geometric dimensions, wind speed, and noise spectrum data; In this embodiment, a sensor array deployed in the exhaust duct system collects on-site data in real time. The wind speed sensor uses a thermal or ultrasonic anemometer, installed on the straight section of the duct to ensure measurement accuracy. The noise sensor uses a pre-polarized capacitive microphone, deployed on the duct wall and at the air outlet to collect broadband noise spectrum data. At the same time, the geometric dimensions of the exhaust duct are obtained through BIM model import or manual measurement, including parameters such as pipe diameter, length, elbow position and number. The collected data is converted from analog to digital using an industrial-grade data acquisition card and a unified timestamp is added to facilitate subsequent data fusion and modeling.

[0027] 102. Construct a digital twin model based on the exhaust duct geometry, wind speed, and noise spectrum data; In this embodiment, based on the acquired exhaust duct geometric dimensions, a three-dimensional geometric model is established using computational fluid dynamics preprocessing software. A hybrid hexahedral and tetrahedral mesh is used for mesh generation, and the mesh is refined in the near-wall region to meet the wall function requirements of the turbulence model. Then, the inlet velocity boundary conditions are set according to the measured wind speed data, and the sound source excitation conditions are set according to the measured noise spectrum data. A hybrid method combining large eddy simulation and acoustic analogy is used to construct a digital twin model that couples the flow field and the sound field. This model can simulate the flow state of airflow and the sound wave propagation characteristics inside the silencer duct, providing a high-fidelity simulation evaluation environment for subsequent optimization design.

[0028] 103. Determine the objective function set and constraint set, and construct a multi-objective optimization model based on the digital twin model, objective function set, and constraint set; In this embodiment, optimization objectives are determined based on actual engineering needs. The noise reduction effect maximization function uses the insertion loss within the target frequency band as the evaluation index, the pressure loss minimization function uses the total pressure drop at the inlet and outlet of the duct as the evaluation index, and the cost minimization function uses material usage and processing complexity as evaluation indicators. A set of constraints is determined, including the length and dimension limitations of the silencing duct, the adaptation requirements of the cross-sectional dimensions to the on-site installation space, and the geometric constraints between various structural parameters, such as the interior angles and side lengths of the rhombus frame 2 needing to meet geometric closure conditions, and the width of the reflection channel 4 needing to remain positive. The digital twin model is used as a simulation evaluation engine, and multi-objective optimization algorithms are integrated to form an end-to-end multi-objective optimization model, realizing the mapping relationship between structural parameters and performance indicators.

[0029] 104. Use a multi-objective optimization model to find the optimal design scheme and output the optimal design scheme. The optimal design scheme includes the length information of the sound-absorbing duct, the cross-sectional dimensions of the sound-absorbing duct, the interior angle information of the rhombus frame 2, the side length information of the rhombus frame 2, the interior angle information of the V-shaped frame 3, the side length information of the V-shaped frame 3, the width information of the reflection channel 4, and the thickness information of the sound-absorbing cotton layer 5. In this embodiment, the value ranges of the optimization variables are set. The length of the silencer duct is determined based on the on-site installation space, and the cross-sectional dimensions are determined based on the original exhaust duct interface dimensions. The interior angle of the rhombus frame 2 ranges from 30° to 150°, and the side length of the rhombus frame 2 ranges from 0.2 to 0.8 times the cross-sectional dimensions. The interior angle of the V-shaped frame 3 ranges from 60° to 120°, and the side length of the V-shaped frame 3 ranges from 0.5 to 1.5 times the side length of the rhombus frame 2. The width of the reflection channel 4 ranges from 10mm to 100mm, and the thickness of the sound-absorbing cotton layer 5 ranges from 10mm to 50mm. The NSGA-II multi-objective optimization algorithm based on a surrogate model is used for iterative solution. Initial sample points are generated using the Latin hypercube sampling method, and a Kriging surrogate model is constructed to reduce simulation calculation costs. After multiple generations of evolution, a Pareto optimal solution set is generated. From this set, the solution closest to the ideal point and satisfying engineering preferences is selected as the optimal design scheme for output.

[0030] 105. Generate processing instructions for the fabrication of sound-absorbing ducts based on the optimal design scheme; In this embodiment, the optimal design scheme output is analyzed to extract the structural parameters of each component of the sound-absorbing duct, including the length and cross-sectional dimensions of the duct body 1, the geometric parameters of the rhomboid frame 2, the geometric parameters of the V-shaped frame 3, the width of the reflection channel 4, and the thickness of the sound-absorbing cotton layer 5. The above parameters are converted into a format that can be recognized by the CNC machining equipment. For metal sheet processing, NC code containing information such as cutting path, bending angle, and welding position is generated. For the sound-absorbing cotton layer 5, a corresponding cutting template file is generated. The processing instructions are sent to the automated processing equipment through industrial Ethernet or a dedicated communication interface to trigger the production process of the sound-absorbing duct.

[0031] In this embodiment of the invention, by adding a rhomboid frame 2 and a V-shaped frame 3 to form a reflection channel 4, the multiple reflection and absorption effect of sound waves is enhanced, solving the problem that the noise reduction effect of traditional sound-absorbing ducts relying solely on the sound-absorbing cotton layer 5 is limited. At the same time, a digital twin model is constructed based on on-site measured data, and a multi-objective optimization algorithm is integrated to optimize structural parameters, achieving a comprehensive balance between noise reduction effect, pressure loss, and manufacturing cost. The output optimal design scheme can directly generate processing instructions, opening up the data link between design optimization and manufacturing execution, and improving the intelligence level and engineering applicability of sound-absorbing duct design.

[0032] Please see Figure 2 In the second embodiment of the sound-absorbing duct design method of the present invention, steps 101 and 102 include: 201. Real-time wind speed data in the exhaust duct is collected using a wind speed sensor, and noise spectrum data of the exhaust duct is collected using a noise sensor. In this embodiment, a high-precision hot-film anemometer is selected as the wind speed sensor, with a measurement range of 0–30 m / s and an accuracy of ±0.05 m / s. The sampling frequency is set to 100 Hz to meet the requirements for capturing turbulent fluctuations. A pre-polarized 1 / 2-inch free-field microphone is selected as the noise sensor, with a frequency response range of 20 Hz–20 kHz and a dynamic range of 15 dB–146 dB. The sampling frequency is set to 51.2 kHz to ensure coverage of the main noise frequency band. After the sensor is filtered and amplified by the signal conditioning module, it is synchronously acquired by a high-precision data acquisition card and transmitted in real time to the industrial control computer for storage and processing.

[0033] 202. Obtain the geometric dimensions of the exhaust duct; In this embodiment, a 3D laser scanner is used to scan the on-site ventilation ducts to obtain point cloud data. After denoising, registration, and surface reconstruction, geometric parameters such as the cross-sectional shape, size, length, and connector positions of the ducts are extracted. For new projects, the geometric dimension data of the duct system can be directly exported from the BIM model to ensure data accuracy and consistency.

[0034] 203. Timestamp-align wind speed data, noise spectrum data, and exhaust duct geometry data to form structured exhaust measurement information; In this embodiment, wind speed data, noise spectrum data, and geometric dimension data are uniformly incorporated into the data management platform. The data from each source are timestamped based on the system time. For data with different sampling frequencies, an interpolation method is used to uniformly resample to the same time grid. Geometric dimension data is stored as a static parameter in association with the dynamically acquired wind speed and noise data, forming a structured exhaust ventilation measurement information dataset. This dataset contains the operating parameters and geometric features at each time section, providing complete input for the subsequent construction of a digital twin model.

[0035] 204. Establish a three-dimensional geometric model of the exhaust duct based on its geometric dimensions; In this embodiment, a three-dimensional solid model of the exhaust duct is established using three-dimensional modeling software based on the acquired geometric dimension data. For typical components such as straight pipe sections, elbows, and reducers, parametric modeling is adopted to ensure that the model dimensions are strictly consistent with the actual measured data on site. Fine modeling is also performed on connecting flanges and sealing structures to accurately reflect the geometric characteristics of the actual flow channel.

[0036] 205. Based on wind speed data and noise spectrum data, set the boundary conditions for fluid simulation and acoustic simulation; In this embodiment, based on the average value and pulsation characteristics of the measured wind speed data, the inlet velocity boundary condition is set, the inlet turbulence intensity is calculated according to the empirical formula and set to 5%, the outlet boundary condition is set to a pressure outlet, and the pressure value is set to atmospheric pressure. Based on the measured noise spectrum data, a broadband sound source excitation is applied at the sound source location, and the sound source type is set to a dipole source to simulate the airflow noise characteristics. The wall boundary condition is set to a non-slip wall, and the acoustic impedance characteristic parameters of the sound-absorbing cotton layer 5 are assigned. The acoustic impedance of the sound-absorbing cotton layer 5 is obtained by impedance tube method and used as the input of the simulation boundary condition.

[0037] 206. Couple the three-dimensional geometric model with the fluid simulation boundary conditions and the acoustic simulation boundary conditions to construct a digital twin model that includes the coupling of the flow field and the sound field; In this embodiment, computational fluid dynamics software is used as the simulation platform. The established three-dimensional geometric model is imported and meshed. The mesh type is a combination of polyhedral mesh and boundary layer mesh. The total number of meshes is controlled between 5 million and 10 million to ensure a balance between computational accuracy and efficiency. A coupled solver is used to solve the fluid control equations and acoustic wave equations simultaneously. The fluid model is a hybrid model combining the Reynolds-mean stress model and large eddy simulation. The acoustic model is the FW-H equation based on the Lighthill acoustic analogy method. The flow field distribution and sound field distribution under different working conditions are obtained through iterative calculation, forming a digital twin model that can reflect the dynamic characteristics of the actual pipeline system.

[0038] In this embodiment of the invention, real working condition data is obtained through high-precision sensors and on-site measurement technology, and the measured data is fused with a three-dimensional geometric model to construct a digital twin model, so that the simulation environment can accurately reflect the actual on-site operating conditions and provide a reliable evaluation basis for subsequent multi-objective optimization.

[0039] Please see Figure 3 In the third embodiment of the sound-absorbing duct design method of the present invention, steps 103 and 104 include: 301. Determine the set of objective functions, which includes one or more of the following: functions that maximize noise reduction effect, functions that minimize pressure loss, and functions that minimize cost. In this embodiment, the noise reduction effect maximization function uses the average insertion loss within the target frequency band as the evaluation index. It calculates the sound pressure level difference at the air outlet before and after the installation of the silencer duct using a digital twin model, and takes the average value of each frequency band as the target value. The pressure loss minimization function uses the total pressure drop at the inlet and outlet of the duct as the evaluation index. It calculates the total pressure difference between the inlet and outlet sections using a digital twin model. The cost minimization function uses the weighted sum of material usage and processing complexity as the evaluation index. Material usage is calculated based on the volume or area of ​​each component's geometric dimensions, and processing complexity is quantified based on whether the structural parameters conform to standardized processing technology. All three objective functions can be used according to the actual needs of the project, or a combination of some of them can be selected.

[0040] 302. Determine the set of constraints, which includes the length and cross-sectional dimensions of the silencing duct, as well as the geometric constraints between various structural parameters. In this embodiment, the length limit of the silencer duct is determined based on the on-site installation space, with an upper limit of 3 meters and a lower limit of 0.5 meters. The cross-sectional dimensions are limited to match the dimensions of the original exhaust duct interface, with an allowable deviation of no more than ±10mm. The geometric constraints between various structural parameters include that the interior angles and side lengths of the rhombus frame 2 must meet the geometric closure condition, that is, the product of the sine of the interior angle and the side length must be equal to twice the height of the rhombus; the interior angles and side lengths of the V-shaped frame 3 must meet the condition of not interfering with the rhombus frame 2; and the width of the reflection channel 4 must be a positive value and greater than the thickness of the sound-absorbing cotton layer 5. These constraints are used to screen feasible solutions during the optimization process to avoid generating geometrically invalid design schemes.

[0041] 303. Using a digital twin model as a simulation evaluation engine, embedding the objective function set and constraint set into a multi-objective optimization algorithm framework to construct a multi-objective optimization model; In this embodiment, the simulation calculation process of the digital twin model is encapsulated as an evaluation function. It receives design variable inputs, outputs objective function values, and determines the constraint satisfaction status. The NSGA-II multi-objective optimization algorithm is used as the main optimization framework. Genetic operations such as tournament selection, simulated binary crossover, and polynomial mutation are used to generate a new generation of population. The evaluation function is embedded in the optimization loop. Digital twin simulation evaluation is performed on individuals in each generation of population to obtain the corresponding objective function values ​​and constraint satisfaction status. Excellent individuals are selected through non-dominated sorting and crowding distance calculation to form a complete iterative process of the multi-objective optimization model.

[0042] 304. Set the value range of the optimization variables. The optimization variables include the length of the silencing duct, the cross-sectional dimensions of the silencing duct, the inner angle of the rhombus frame 2, the side length of the rhombus frame 2, the inner angle of the V-frame 3, the side length of the V-frame 3, the width of the reflection channel 4, and the thickness of the sound-absorbing cotton layer 5. In this embodiment, based on engineering experience and product standard library, reasonable value ranges for each optimization variable are set. The length of the silencer duct ranges from 0.5m to 3m, the cross-sectional dimensions are set from 200mm×200mm to 1000mm×1000mm according to the original pipe specifications, the interior angle of the rhombus frame 2 ranges from 30° to 150°, the side length of the rhombus frame 2 ranges from 0.2 times to 0.8 times the cross-sectional dimensions, the interior angle of the V-shaped frame 3 ranges from 60° to 120°, the side length of the V-shaped frame 3 ranges from 0.5 times to 1.5 times the side length of the rhombus frame 2, the width of the reflection channel 4 ranges from 10mm to 100mm, and the thickness of the sound-absorbing cotton layer 5 ranges from 10mm to 50mm. All variables adopt real number encoding and are continuously searched during the optimization process.

[0043] 305. A multi-objective optimization algorithm is used to iteratively solve the multi-objective optimization model to generate a Pareto optimal solution set; In this embodiment, the initial population size is set to 200, the number of generations is set to 100, and the initial population is generated using the Latin hypercube sampling method to fully cover the design space. In each generation, each individual in the population is evaluated using a digital twin model, and its three objective function values ​​are calculated. Then, non-dominated sorting and crowding distance calculation are performed. A tournament selection strategy is used to select parent individuals, with the crossover probability set to 0.9, the distribution index set to 20, the mutation probability set to 1 / number of design variables, and the distribution index set to 20. After 100 generations of iterative evolution, a set of uniformly distributed and well-converged Pareto optimal solutions is obtained. Each solution in the solution set corresponds to a combination of structural parameters, and it is impossible to further improve a certain objective without sacrificing other objectives.

[0044] 306. Select a set of solutions that satisfy the preset evaluation criteria from the Pareto optimal solution set as the optimal design scheme and output it. The optimal design scheme includes the length information of the silencing duct, the cross-sectional dimensions of the silencing duct, the interior angle information of the rhombus frame 2, the side length information of the rhombus frame 2, the interior angle information of the V-frame 3, the side length information of the V-frame 3, the width information of the reflection channel 4, and the thickness information of the sound-absorbing cotton layer 5. In this embodiment, evaluation criteria are set according to the actual needs of the project. For scenarios where noise reduction is the primary goal, the inflection point solution with the best noise reduction effect on the Pareto front is selected as the optimal design scheme. For scenarios with balanced overall performance, the TOPSIS multi-attribute decision method is used to calculate the distance between each solution and the ideal solution, and the solution with the closest distance is selected as the optimal design scheme. In the output results, each structural parameter is retained to two decimal places and rounded according to engineering conventions to ensure that the parameter values ​​meet the accuracy requirements of the processing equipment.

[0045] In this embodiment of the invention, by constructing a multi-objective optimization model and using an efficient multi-objective optimization algorithm for iterative solution, the automatic trade-off and optimization of the structural parameters of the soundproof duct among multiple performance objectives is realized. The generated Pareto optimal solution set provides sufficient data support for design decisions, and the final output optimal design scheme takes into account the comprehensive balance of noise reduction effect, pressure loss and manufacturing cost.

[0046] Please see Figure 4 In the fourth embodiment of the sound-absorbing duct design method of the present invention, steps 105 and 105 thereafter include: 401. Analyze the optimal design scheme, obtain the analysis results, and extract the structural parameters of the silencer duct from the analysis results; In this embodiment, the optimal design scheme data output by the multi-objective optimization module is received. This data is stored in a structured manner in JSON or XML format and contains the geometric parameters of all components of the sound-absorbing duct. The parsing program reads the data file, extracts the length and cross-sectional dimensions of the duct body 1, the interior angles and side lengths of the rhombus frame 2, the interior angles and side lengths of the V-frame 3, the width of the reflection channel 4, and the thickness of the sound-absorbing cotton layer 5. The validity of each parameter is verified to ensure that all parameters are within the preset range and meet the geometric constraints.

[0047] 402. Convert the structural parameters into machining instructions that the machining equipment can recognize; In this embodiment, based on the extracted structural parameters, processing instructions recognizable by the CNC machining equipment are generated. For metal sheet processing, the NC code format is used. The sheet cutting path is generated based on the dimensions of the tube body 1. The sheet cutting and bending instructions are generated based on the geometric parameters of the rhombus frame 2 and the V-frame 3. For the sound-absorbing cotton layer 5, the cutting template file format is used. The sound-absorbing cotton material of the appropriate thickness is selected based on the thickness of the sound-absorbing cotton layer 5. The cutting template is generated based on the cross-sectional dimensions. The processing instructions contain complete information such as material type, size parameters, tolerance requirements, and surface treatment requirements.

[0048] 403. Send processing instructions to the processing equipment to trigger the automated production of the silencer duct; In this embodiment, the generated processing instructions communicate with the CNC machining equipment through the manufacturing execution system. The communication protocol adopts the OPC UA or MTConnect standard to ensure compatibility with equipment from different manufacturers. After the processing instructions are transmitted to the equipment, they are parsed and executed by the equipment's built-in control system, triggering processes such as automatic feeding, automatic cutting, automatic bending, automatic welding, and automatic application of sound-absorbing cotton, thereby realizing the automated production of the sound-absorbing duct. During the production process, the system monitors the equipment status and processing progress in real time and records key process parameters for subsequent quality traceability.

[0049] 404. Collect the actual structural parameters of the silencer duct obtained from actual processing; In this embodiment, after the sound-absorbing duct is processed, the structural parameters of the actual finished product are collected by online measurement equipment. The length and cross-sectional dimensions of the duct body 1 are measured by a laser rangefinder, the geometric parameters of the rhombus frame 2 and the V-frame 3 are measured by a 3D scanner, and the thickness of the sound-absorbing cotton layer 5 is measured by an ultrasonic thickness gauge. The measurement data are uploaded to the quality management system in real time and compared with the design values ​​to form a finished product quality file.

[0050] 405. Compare the actual structural parameters with the optimal design scheme to obtain the comparison results, and generate a deviation analysis report based on the comparison results; In this embodiment, the actual structural parameters collected are compared with the corresponding parameters in the optimal design scheme item by item, and the deviation value of each parameter is calculated. The deviation value is expressed in two forms: absolute deviation and relative deviation. Based on the preset deviation tolerance, it is determined whether each parameter is qualified. For parameters that exceed the tolerance, the cause of the deviation is analyzed, such as material springback, processing equipment precision, operation error, etc., and a deviation analysis report containing deviation statistics, non-conformity analysis, improvement suggestions, etc. is generated.

[0051] 406. Feed the deviation analysis report back to the multi-objective optimization model to correct the parameter boundaries in the subsequent optimization process; In this embodiment, key information from the deviation analysis report is fed back to the parameter boundary setting module of the multi-objective optimization model. For variables that are prone to deviation in actual processing, their tolerance range is appropriately widened in subsequent optimization processes, or the search boundary of the optimization variables is adjusted according to the deviation distribution law. For some theoretical optimal values ​​that are difficult to achieve due to processing technology limitations, a process feasibility penalty term is introduced into the objective function to make the optimization results more consistent with the actual processing capabilities. Through this closed-loop feedback mechanism, the consistency between the optimization model and the actual manufacturing process is continuously improved.

[0052] In this embodiment of the invention, the optimal design scheme is converted into processing instructions to achieve automated production. A deviation analysis report is generated by collecting and comparing actual processing parameters. Finally, the deviation information is fed back to the optimization model, forming a closed-loop optimization link of design, manufacturing and feedback, which continuously improves the process feasibility and production quality of the optimized design.

[0053] The above describes the design method of the silencer duct in the embodiments of the present invention. The following describes the design device of the silencer duct in the embodiments of the present invention. Please refer to [link / reference]. Figure 5 One embodiment of the sound-absorbing duct design device in this invention includes: The acquisition module 501 is used to acquire actual exhaust air measurement information, which includes exhaust duct geometric dimension data, wind speed data, and noise spectrum data. Module 502 is used to build a digital twin model based on exhaust duct geometry data, wind speed data, and noise spectrum data; The construction module 503 is determined to determine the objective function set and constraint set, and to construct a multi-objective optimization model based on the digital twin model, the objective function set, and the constraint set. The optimization output module 504 is used to optimize the design scheme using a multi-objective optimization model and output the optimal design scheme. The optimal design scheme includes the length information of the silencing duct, the cross-sectional dimensions of the silencing duct, the interior angle information of the rhombus frame 2, the side length information of the rhombus frame 2, the interior angle information of the V-frame 3, the side length information of the V-frame 3, the width information of the reflection channel 4, and the thickness information of the sound-absorbing cotton layer 5. The generation module 505 is used to generate processing instructions for the fabrication of sound-absorbing ducts based on the optimal design scheme.

[0054] In this embodiment, sound wave reflection can be enhanced by adding a rhombus-shaped frame 2 and a V-shaped frame 3. The rhombus-shaped frame 2 diverts the input airflow, and the airflow can achieve multiple reflections and absorption between the rhombus-shaped frame 2 and the V-shaped frame 3, thereby improving noise reduction performance. Moreover, by acquiring actual exhaust air measurement information including exhaust duct geometric dimensions, wind speed data, and noise spectrum data, and constructing a digital twin model based on the exhaust duct geometric dimensions, wind speed data, and noise spectrum data, a multi-objective optimization model is constructed based on the digital twin model, objective function set, and constraint condition set. The multi-objective optimization model is used to find the optimal design scheme and output the optimal design scheme. Based on the measured data, the structural parameters of the silencer duct can be optimized in multiple objectives, including noise reduction effect, pressure loss, and manufacturing cost.

[0055] Please see Figure 6 Another embodiment of the sound-absorbing duct design device in this invention includes: The acquisition module 501 is used to acquire actual exhaust air measurement information, which includes exhaust duct geometric dimension data, wind speed data, and noise spectrum data. Module 502 is used to build a digital twin model based on exhaust duct geometry data, wind speed data, and noise spectrum data; The construction module 503 is determined to determine the objective function set and constraint set, and to construct a multi-objective optimization model based on the digital twin model, the objective function set, and the constraint set. The optimization output module 504 is used to optimize the design scheme using a multi-objective optimization model and output the optimal design scheme. The optimal design scheme includes the length information of the silencing duct, the cross-sectional dimensions of the silencing duct, the interior angle information of the rhombus frame 2, the side length information of the rhombus frame 2, the interior angle information of the V-frame 3, the side length information of the V-frame 3, the width information of the reflection channel 4, and the thickness information of the sound-absorbing cotton layer 5. The generation module 505 is used to generate processing instructions for the fabrication of sound-absorbing ducts based on the optimal design scheme. In this embodiment, the acquisition module 501 includes: an acquisition unit 5011, used to acquire wind speed data in the exhaust duct in real time through a wind speed sensor and acquire noise spectrum data of the exhaust duct through a noise sensor; an acquisition unit 5012, used to acquire geometric dimension data of the exhaust duct; and an alignment unit 5013, used to perform timestamp alignment on the wind speed data, noise spectrum data and geometric dimension data of the exhaust duct to form structured exhaust measurement information.

[0056] In this embodiment, the construction module 502 includes: a building unit 5021, used to build a three-dimensional geometric model of the exhaust duct based on the exhaust duct geometric dimension data; a setting unit 5022, used to set fluid simulation boundary conditions and acoustic simulation boundary conditions according to wind speed data and noise spectrum data; and a coupling construction unit 5023, used to couple the three-dimensional geometric model with the fluid simulation boundary conditions and the acoustic simulation boundary conditions to build a digital twin model containing the coupling of the flow field and the sound field.

[0057] In this embodiment, the construction module 503 includes: a first determining unit 5031, used to determine an objective function set, which includes one or more of the following: a noise reduction effect maximization function, a pressure loss minimization function, and a cost minimization function; a second determining unit 5032, used to determine a constraint set, which includes the length dimension limit, cross-sectional dimension limit, and geometric constraints between various structural parameters of the silencing duct; and an embedding construction unit 5033, used to embed the objective function set and constraint set into a multi-objective optimization algorithm framework using a digital twin model as a simulation evaluation engine to construct a multi-objective optimization model.

[0058] In this embodiment, the optimization output module 504 includes: a setting unit 5041, used to set the value range of optimization variables, including the length of the silencing duct, the cross-sectional dimensions of the silencing duct, the interior angle of the rhombus frame 2, the side length of the rhombus frame 2, the interior angle of the V-frame 3, the side length of the V-frame 3, the width of the reflection channel 4, and the thickness of the sound-absorbing cotton layer 5; a solution generation unit 5042, used to iteratively solve the multi-objective optimization model using a multi-objective optimization algorithm to generate a Pareto optimal solution set; and a selection output unit 5043, used to select a set of solutions that meet the preset evaluation criteria from the Pareto optimal solution set as the optimal design scheme for output, including the length information of the silencing duct, the cross-sectional dimensions of the silencing duct, the interior angle information of the rhombus frame 2, the side length information of the rhombus frame 2, the interior angle information of the V-frame 3, the side length information of the V-frame 3, the width information of the reflection channel 4, and the thickness information of the sound-absorbing cotton layer 5.

[0059] In this embodiment, the generation module 505 includes: an analysis and extraction unit 5051, used to analyze the optimal design scheme, obtain the analysis result, and extract the structural parameters of the silencer duct from the analysis result; a conversion unit 5052, used to convert the structural parameters into processing instructions that can be recognized by the processing equipment; and a sending unit 5053, used to send the processing instructions to the processing equipment to trigger the automated production of the silencer duct.

[0060] In this embodiment, it also includes: a data acquisition module 506, used to acquire the actual structural parameters of the actual processed silencer duct; a comparison and generation module 507, used to compare the actual structural parameters with the optimal design scheme, obtain the comparison results, and generate a deviation analysis report based on the comparison results; and a feedback module 508, used to feed the deviation analysis report back to the multi-objective optimization model to correct the parameter boundaries of the subsequent optimization process.

[0061] above Figure 5 and Figure 6 The sound-absorbing duct design device in the embodiments of the present invention will be described in detail from the perspective of modular functional entities. The sound-absorbing duct design equipment in the embodiments of the present invention will be described in detail from the perspective of hardware processing.

[0062] Figure 7 This is a schematic diagram of the structure of a soundproof duct design device 600 provided in an embodiment of the present invention. The soundproof duct design device 600 can vary significantly due to different configurations or performance. It may include one or more central processing units (CPUs) 610 (e.g., one or more processors) and a memory 620, and one or more storage media 630 (e.g., one or more mass storage devices) storing application programs 633 or data 632. The memory 620 and storage media 630 can be temporary or persistent storage. The program stored in the storage media 630 may include one or more modules (not shown in the diagram), each module may include a series of instruction operations on the soundproof duct design device 600. Furthermore, the processor 610 may be configured to communicate with the storage media 630 and execute the series of instruction operations in the storage media 630 on the soundproof duct design device 600 to implement the steps of the soundproof duct design method provided in the above-described method embodiments.

[0063] The sound-absorbing duct design device 600 may also include one or more power supplies 640, one or more wired or wireless network interfaces 650, one or more input / output interfaces 660, and / or one or more operating systems 631, such as Windows Server, Mac OS X, Unix, Linux, FreeBSD, etc. Those skilled in the art will understand that... Figure 7The illustrated duct design structure does not constitute a limitation on duct-based design equipment and may include more or fewer components than illustrated, or combine certain components, or have different component arrangements.

[0064] The present invention also provides a computer-readable storage medium, which can be a non-volatile computer-readable storage medium or a volatile computer-readable storage medium, wherein the computer-readable storage medium stores instructions that, when executed on a computer, cause the computer to perform the steps of the silencer duct design method.

[0065] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working process of the system, device, or unit described above can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0066] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0067] Finally, it should be noted that the above descriptions are merely preferred embodiments of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent substitutions for some of the technical features. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A method for designing a sound-absorbing duct, characterized in that: The sound-absorbing duct includes a duct body, with a diamond-shaped frame in the middle of the duct body and V-shaped frames symmetrically arranged on the upper and lower sides of the duct body. A reflection channel is provided between the diamond-shaped frame and the V-shaped frame. The inner side of the duct body, the outer side of the diamond-shaped frame and the outer side of the V-shaped frame are all covered with a layer of sound-absorbing cotton. The design method for sound-absorbing ducts includes the following steps: Acquire actual exhaust air measurement information, which includes exhaust duct geometric dimensions, wind speed, and noise spectrum data; A digital twin model is constructed based on the exhaust duct geometry data, the wind speed data, and the noise spectrum data; Determine the objective function set and constraint set, and construct a multi-objective optimization model based on the digital twin model, the objective function set, and the constraint set; The multi-objective optimization model is used to find the optimal design scheme and output the optimal design scheme. The optimal design scheme includes the length information of the sound-absorbing duct, the cross-sectional dimensions of the sound-absorbing duct, the interior angle information of the rhombus frame, the side length information of the rhombus frame, the interior angle information of the V-shaped frame, the side length information of the V-shaped frame, the width information of the reflection channel, and the thickness information of the sound-absorbing cotton layer. Based on the optimal design scheme, processing instructions for the fabrication of sound-absorbing ducts are generated.

2. The sound-absorbing duct design method according to claim 1, characterized in that, The acquisition of exhaust ventilation measurement information includes exhaust duct geometric dimensions, wind speed data, and noise spectrum data, including: The wind speed data inside the exhaust duct is collected in real time by a wind speed sensor, and the noise spectrum data of the exhaust duct is collected by a noise sensor. Obtain the geometric dimensions of the exhaust duct; The wind speed data, the noise spectrum data, and the exhaust duct geometric dimension data are timestamped to form structured exhaust measurement information.

3. The sound-absorbing duct design method according to claim 1, characterized in that, The step of constructing a digital twin model based on the exhaust duct geometry data, the wind speed data, and the noise spectrum data includes: A three-dimensional geometric model of the exhaust duct is established based on the geometric dimension data of the exhaust duct; Based on the wind speed data and the noise spectrum data, set the fluid simulation boundary conditions and the acoustic simulation boundary conditions; The three-dimensional geometric model is coupled with the fluid simulation boundary conditions and the acoustic simulation boundary conditions to construct a digital twin model that includes the coupling of the flow field and the sound field.

4. The sound-absorbing duct design method according to claim 1, characterized in that, The process of determining the objective function set and constraint set, and constructing a multi-objective optimization model based on the digital twin model, the objective function set, and the constraint set, includes: Determine a set of objective functions, which includes one or more of the following: a function to maximize noise reduction effect, a function to minimize pressure loss, and a function to minimize cost. Determine the set of constraints, which includes the length and cross-sectional dimensions of the silencer duct, as well as the geometric constraints between various structural parameters. Using the digital twin model as a simulation evaluation engine, the objective function set and the constraint set are embedded in a multi-objective optimization algorithm framework to construct a multi-objective optimization model.

5. The sound-absorbing duct design method according to claim 1, characterized in that, The multi-objective optimization model is used to find the optimal design scheme and output the optimal design scheme. The optimal design scheme includes information such as the length of the sound-absorbing duct, the cross-sectional dimensions of the sound-absorbing duct, the interior angles and side lengths of the rhombus frame, the interior angles and side lengths of the V-shaped frame, the width of the reflection channel, and the thickness of the sound-absorbing cotton layer. Set the value range of the optimization variables, which include the length of the silencing duct, the cross-sectional dimensions of the silencing duct, the inner angle of the rhombus frame, the side length of the rhombus frame, the inner angle of the V-shaped frame, the side length of the V-shaped frame, the width of the reflection channel, and the thickness of the sound-absorbing cotton layer. The multi-objective optimization model is iteratively solved using a multi-objective optimization algorithm to generate a Pareto optimal solution set; A set of solutions that satisfy the preset evaluation criteria is selected from the Pareto optimal solution set and output as the optimal design scheme. The optimal design scheme includes the length information of the silencing duct, the cross-sectional dimensions of the silencing duct, the interior angle information of the rhombus frame, the side length information of the rhombus frame, the interior angle information of the V-shaped frame, the side length information of the V-shaped frame, the width information of the reflection channel, and the thickness information of the sound-absorbing cotton layer.

6. The method for designing a silencer duct according to claim 1, characterized in that, The process of generating manufacturing instructions for soundproof ductwork based on the optimal design scheme includes: The optimal design scheme is analyzed to obtain the analysis results, and the structural parameters of the silencer duct are extracted from the analysis results. The structural parameters are converted into processing instructions that can be recognized by the processing equipment; The processing command is sent to the processing equipment to trigger the automated production of the silencer duct.

7. The method for designing a silencer duct according to claim 1, characterized in that, After generating the processing instructions for the fabrication of the sound-absorbing duct based on the optimal design scheme, the process also includes: Collect the actual structural parameters of the silencer duct obtained from actual processing; The actual structural parameters are compared with the optimal design scheme to obtain the comparison results, and a deviation analysis report is generated based on the comparison results. The deviation analysis report is fed back to the multi-objective optimization model to correct the parameter boundaries in the subsequent optimization process.

8. A sound-absorbing duct design device, characterized in that, include: The acquisition module is used to acquire actual exhaust air measurement information, which includes exhaust duct geometric dimensions, wind speed, and noise spectrum data. The construction module is used to construct a digital twin model based on the exhaust duct geometry data, the wind speed data, and the noise spectrum data; A construction module is determined to identify the objective function set and the constraint set, and a multi-objective optimization model is constructed based on the digital twin model, the objective function set, and the constraint set. The optimization output module is used to optimize the design scheme using the multi-objective optimization model and output the optimal design scheme. The optimal design scheme includes the length information of the silencing duct, the cross-sectional dimensions of the silencing duct, the interior angle information of the rhombus frame, the side length information of the rhombus frame, the interior angle information of the V-shaped frame, the side length information of the V-shaped frame, the width information of the reflection channel, and the thickness information of the sound-absorbing cotton layer. The generation module is used to generate processing instructions for the fabrication of sound-absorbing ducts based on the optimal design scheme.

9. A sound-absorbing duct design device, characterized in that, The sound-absorbing duct design device includes: a memory and at least one processor, wherein the memory stores instructions; At least one of the processors invokes the instructions in the memory to cause the silencing duct design device to perform the steps of the silencing duct design method as described in any one of claims 1-7.

10. A computer-readable storage medium storing instructions thereon, characterized in that, When the instructions are executed by the processor, they implement the various steps of the silencing duct design method as described in any one of claims 1-7.

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