A production control system for automobile silencers

Abstract

The present invention discloses a production control system for automotive silencers, relating to the field of intelligent control technology. The system comprises: a material feature collection module for collecting multidimensional material features of the silencer; a design feature collection module for collecting multidimensional design features; an information collaborative analysis module for obtaining a preliminary silencer index; a production quality inspection record acquisition module for dynamically obtaining production quality inspection records for the silencer; a quality inspection correspondence evaluation module for performing evaluation and analysis to obtain a real-time production control coefficient; a silencer index dynamic adjustment module; and a dynamic production control module. The present invention solves the technical problem that existing silencer production control methods suffer from a single data dimension and insufficient real-time and intelligence capabilities, which affect the quality and efficiency of silencer production. This invention achieves the technical effect of improving the quality and efficiency of silencer production through intelligent real-time monitoring and dynamic adjustment.

Description

Technical Field

[0001] The present invention relates to the field of intelligent control technology, and in particular to a production control system for automobile silencers. Background Art

[0002] As an important noise control material, automotive sound-absorbing sheets are widely used in vehicle engine compartments, doors, chassis, and other areas to reduce noise and vibration, improving driving comfort and interior quietness. The performance of sound-absorbing sheets depends primarily on factors such as the properties of the sound-absorbing material, the design structure, and the production process. Precisely controlling the production process to ensure consistent sound-absorbing performance has become a pressing challenge for the manufacturing industry.

[0003] However, existing production control systems are mostly limited to processing and analyzing single-dimensional data, making it difficult to fully and accurately reflect the performance and quality of silencer panels. Furthermore, these systems often lack real-time capabilities and intelligence, making them unable to dynamically adjust and optimize based on actual production conditions. Summary of the Invention

[0004] The present application provides a production control system for automobile silencer plates, which is used to solve the technical problems that the existing silencer plate production control method has a single data dimension, insufficient real-time performance and intelligence, and affects the quality and efficiency of silencer plate production.

[0005] The present application provides a production control system for automobile silencers, the system comprising: a material feature collection module for collecting multi-dimensional material features of the silencer to obtain material feature information; a design feature collection module for collecting multi-dimensional design features of the silencer to obtain design feature information; an information collaborative analysis module for collaboratively analyzing the material feature information and the design feature information to obtain a preliminary silencer index of the silencer; a production quality inspection record acquisition module for dynamically obtaining production quality inspection records of the silencer, the production quality inspection records including a plurality of quality inspection correspondences; a quality inspection correspondence evaluation module for introducing a production control evaluation function to evaluate and analyze a first quality inspection correspondence among the plurality of quality inspection correspondences to obtain a real-time production control coefficient of the silencer; a silencer index dynamic adjustment module for dynamically adjusting the preliminary silencer index based on the real-time production control coefficient to obtain a real-time silencer index; and a dynamic production control module for dynamically controlling the production of the silencer according to the real-time silencer index.

[0006] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0007] This application provides a production control system for automotive silencers, which relates to the field of intelligent control technology. By collecting multidimensional material and design features, the system acquires material and design feature information, performs collaborative analysis, and obtains a preliminary noise reduction index. It then dynamically acquires production quality inspection records and evaluates the inspection results using a production control evaluation function to obtain a real-time production control coefficient. The preliminary noise reduction index is dynamically adjusted based on this coefficient to obtain a real-time noise reduction index. This coefficient is then used to dynamically control the production process, thereby optimizing the production quality and performance of the silencers. This system addresses the technical issues of existing silencer production control methods, which suffer from a single data dimension and insufficient real-time and intelligence capabilities, impacting the quality and efficiency of silencer production. It enables real-time monitoring and dynamic adjustment of the silencer production process, improving the quality and efficiency of silencer production. BRIEF DESCRIPTION OF THE DRAWINGS

[0008] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0009] Figure 1 A schematic diagram of the structure of a production control system for an automobile noise-reducing sheet provided in an embodiment of the present application;

[0010] Figure 2 A schematic diagram of a flow chart of an information collaborative analysis module in a production control system for an automobile sound-absorbing sheet provided in an embodiment of the present application for obtaining a preliminary sound-absorbing index of the sheet.

[0011] Explanation of the accompanying drawings: material feature collection module 11, design feature collection module 12, information collaborative analysis module 13, production quality inspection record acquisition module 14, quality inspection correspondence evaluation module 15, noise reduction index dynamic adjustment module 16, dynamic production control module 17. DETAILED DESCRIPTION

[0012] The present application provides a production control system for automobile silencer plates, which is used to solve the technical problems that the existing silencer plate production control method has a single data dimension, insufficient real-time performance and intelligence, and affects the quality and efficiency of silencer plate production.

[0013] The following will be combined with the accompanying drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only some of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0014] It should be noted that the terms "first", "second", etc. in the specification of the present application and the above-mentioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or server that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or modules that are not clearly listed or inherent to these processes, methods, products or devices.

[0015] Example 1, as Figure 1 As shown, the present application provides a production control system for automobile silencer sheets, the system comprising:

[0016] The material feature collection module 11 is used to collect multi-dimensional material features of the sound-absorbing plate to obtain material feature information.

[0017] It should be understood that the material feature collection module 11 of the present application is responsible for comprehensively and in-depth collection of multi-dimensional material feature information of the sound-absorbing plate. At this stage, it is first necessary to identify the key characteristics of the material, which generally include but are not limited to chemical composition, physical properties, thermal properties, mechanical properties, etc. Detailed information about the material can be obtained through various modern detection technologies, such as scanning electron microscopy (SEM), X-ray diffraction analysis (XRD), infrared spectroscopy (FTIR), etc. Specifically, high-precision sensors can be used to measure the physical properties of the raw materials of the sound-absorbing plate, such as density (the mass of the material per unit volume, reflecting the compactness and weight of the material), elastic modulus (the ratio of the normal stress to the corresponding normal strain during the elastic deformation stage of the material, reflecting the stiffness of the material), and thermal conductivity (the ability of the material to conduct heat, affecting the thermal stability and sound insulation effect of the material). These sensors can capture and convert the physical signals of the material properties into digital data in real time, ensuring the accuracy and immediacy of the data.

[0018] Furthermore, spectroscopy can be used to examine the chemical composition of materials, including elemental composition, alloy ratios, and possible impurities. This is crucial for understanding a material's microstructure and predicting its acoustic properties. Spectroscopy identifies the chemical composition of a material by emitting or absorbing specific wavelengths of light. It is a non-destructive testing method that ensures the integrity of the material is not compromised.

[0019] Module 11 also integrates image processing technology to capture and analyze visual features of the sound-absorbing sheet, such as surface texture, pore distribution, and microstructure. These characteristics directly impact the evaluation of the material's sound absorption performance, durability, and aesthetics. Image processing technology uses algorithms to enhance, segment, and extract features from images, quantifying these visual features and providing precise data support for subsequent collaborative analysis.

[0020] After collecting material characteristics, the system compares them with the target characteristics set during the design phase to verify whether the selected material meets the design requirements. For example, whether the material's hardness and thermal stability meet the expected sound dampening effect. If not, the system can provide feedback to the design team or production control system to adjust the material selection or production process.

[0021] Ultimately, this processed and analyzed material characteristic information serves as input data for subsequent production control and quality inspection modules. During the production of the sound-absorbing panels, this material characteristic information guides the manufacturing process, helping the system optimize production conditions and ensure that each batch of panels meets performance standards.

[0022] The design feature collection module 12 is used to collect multi-dimensional design features of the sound-absorbing plate to obtain design feature information.

[0023] Specifically, the core task of the design feature collection module 12 of this application is to comprehensively and systematically collect and analyze the design parameters of the sound-absorbing plate to ensure that the various technical indicators set during the design phase can provide a correct basis for the subsequent production process. The goal of this module is to collect design feature information from multiple dimensions, including geometric shape, material compatibility, structural strength, functional requirements, etc., and ultimately form a detailed design feature database to provide theoretical guidance for production control and quality optimization. Among them, the multi-dimensional design features generally refer to parameters related to the shape, performance, and function of the sound-absorbing plate. These parameters include geometric shape, structural strength, functional requirements, and installation adaptability.

[0024] For example, CAD software can be used to read or import digital models of the sound-absorbing plate. These models typically contain the plate's precise 3D shape and dimensions. CAD technology, with its powerful modeling and editing capabilities, ensures the accuracy and consistency of design features, providing a reliable data foundation for subsequent collaborative analysis.

[0025] Furthermore, 3D scanning technology can be used to perform non-contact measurements on the physical prototype of the sound-absorbing plate, capturing its surface geometry and minute details. 3D scanning technology emits laser or structured light and receives the reflected light, calculating the object's 3D coordinates and generating high-precision 3D point cloud data. This data can then be processed and converted into a digital model, which can be compared and verified with the CAD model to ensure the authenticity and integrity of the design features.

[0026] In addition to geometric shape and dimensional parameters, Design Feature Collection Module 12 also focuses on the structural layout and pore design of the sound-absorbing plate. Structural layout involves the arrangement and connection of the components within the plate, which has a significant impact on acoustic performance and structural strength. Pore design focuses on the tiny channels or voids within the plate, which absorb and dissipate sound wave energy, thereby improving the sound absorption effect. By analyzing and quantifying these design features, Module 12 provides valuable reference information for subsequent collaborative analysis and production control.

[0027] The collected design feature information can be stored and managed within the Product Lifecycle Management (PLM) system, forming a comprehensive design feature database. This database includes not only the silencer's geometric features, functional requirements, and material selection, but also various parameters and analysis results from the design optimization process. This database allows the design, production, and quality control teams to access the required design information at any time, ensuring the accurate communication and implementation of design ideas.

[0028] The information collaborative analysis module 13 is used to collaboratively analyze the material characteristic information and the design characteristic information to obtain a preliminary sound attenuation index of the sound attenuation sheet.

[0029] Further, such as Figure 2 As shown, the information collaborative analysis module 13 is further configured to perform the following steps:

[0030] P31: Perform a weighted variation calculation on the material density and material sound absorption coefficient in the material feature information to obtain the material sound attenuation index. P32: Extract the design gap feature data in the design feature information and analyze the design gap feature data to obtain the design gap index. P33: Match the design thickness index corresponding to the design thickness data in the design feature information. P34: Read the predetermined weight distribution and calculate the material sound attenuation index, the design gap index, and the design thickness index based on the predetermined weight distribution to obtain the preliminary sound attenuation index. The design gap feature data includes material wafer ratio data and design structure void ratio data.

[0031] Optionally, the primary task of the information collaborative analysis module 13 of this application is to effectively combine and analyze material and design feature information to derive a comprehensive preliminary sound attenuation index (SRI). This SRI is a key parameter reflecting the performance of the sound-absorbing patch. It combines the sound-absorbing properties of the material itself with the influence of the design, ensuring that the patch can provide the expected noise attenuation effect in different working environments.

[0032] First, we need to extract two key parameters, material density and material sound absorption coefficient, from the material characteristic information. Material density refers to the mass of the material per unit volume, usually expressed in g / cm 3 The sound absorption coefficient (SAC) of a material is a measure of its ability to absorb sound waves, typically evaluated through acoustic impedance and frequency response. A higher density generally indicates a higher material quality, but its impact on sound absorption may need to be analyzed in conjunction with the SAC.

[0033] Furthermore, a weighted calculation is performed on the material density and sound absorption coefficient. That is, when calculating the material's sound absorption index, different weights are assigned to these characteristics based on different environmental conditions or production objectives. For example, in some application scenarios, density may have a greater impact on sound absorption performance, while in other scenarios, the sound absorption coefficient may play a more significant role. Through this weighted calculation, a comprehensive material sound absorption index can be obtained.

[0034] Next, the module extracts the design void feature data from the design feature information. This data includes the material wafer fraction and the design structure void fraction. The material wafer fraction refers to the proportion of material used to form voids or channels within the silencer, while the design structure void fraction describes the distribution and proportion of these voids or channels within the overall structure of the silencer. By analyzing this data, the module calculates the design void index, which serves as a quantitative indicator for evaluating the contribution of the silencer's internal structural design to its sound-absorbing performance.

[0035] Furthermore, the design thickness data in the design feature information is matched to the corresponding design thickness index. The design thickness not only affects the structural strength of the sound-absorbing plate but also directly influences the propagation path and dissipation of sound waves within it. Generally speaking, the thicker the sound-absorbing plate, the greater its sound attenuation effect. The choice of design thickness is closely related to the desired noise attenuation target of the sound-absorbing plate. By matching the design thickness data in the design feature information, the corresponding design thickness index can be calculated. This index is used to quantify the impact of thickness on sound-absorbing performance.

[0036] Finally, the module reads the pre-determined weights, derived from extensive experimental data and empirical analysis, reflecting the relative importance of the Material Attenuation Index, Design Gap Index, and Design Thickness Index in determining the overall sound-absorbing performance of the patch. Based on these weights, the module then performs a weighted summation of the three indices: the Material Attenuation Index, the Design Gap Index, and the Design Thickness Index, to produce a Preliminary Sound-absorbing Index. This index is a comprehensive quantitative indicator reflecting the patch's material properties, structural design, and overall sound-absorbing performance, providing a crucial reference for subsequent production control and design optimization.

[0037] Furthermore, after reading the predetermined weight distribution and calculating the material sound attenuation index, the designed gap index, and the designed thickness index based on the predetermined weight distribution to obtain the preliminary sound attenuation index, the information collaborative analysis module 13 is further configured to perform the following steps:

[0038] P35: Constructing the sound-absorbing basic vector of the sound-absorbing plate based on the material sound-absorbing index, the designed gap index and the designed thickness index; P36: Extracting the first sound-absorbing record from the sound-absorbing database, the first sound-absorbing record including the first basic vector and the first sound-absorbing index; P37: Calculating the first basic deviation between the sound-absorbing basic vector and the first basic vector according to a predetermined comparison strategy; P38: When the first basic deviation is within the deviation threshold, the preliminary sound-absorbing index is replaced and adjusted with the first sound-absorbing index.

[0039] It should be understood that after the information collaborative analysis module 13 completes the calculation of the preliminary noise reduction index, its workflow does not stop. Instead, through further data analysis and optimization, it ensures that the preliminary noise reduction index can accurately reflect the actual performance of the noise reduction plate, and dynamically adjusts it according to historical data and comparison strategies to ensure that the noise reduction plate can achieve the optimal noise attenuation effect during the actual production process.

[0040] First, a sound attenuation base vector is constructed based on the previously calculated material sound attenuation index, design gap index, and design thickness index. This vector is a multi-dimensional data set that comprehensively reflects the key characteristics of the sound attenuation patch in terms of material, design, and thickness. The construction of the sound attenuation base vector provides the basis for subsequent comparison with records in the sound attenuation database.

[0041] Next, the noise reduction database is accessed and a first noise reduction record is extracted. This record contains a first basis vector and a corresponding first noise reduction index. The noise reduction database stores a large amount of historical noise reduction test data and optimization results, providing valuable reference information for the design and production of current noise reduction panels.

[0042] Then, based on a predetermined comparison strategy, a first basis deviation is calculated between the current mute basis vector and the first basis vector. This first basis deviation measures the performance difference between the current mute element and historical samples. This can be achieved by calculating the Euclidean distance, cosine similarity, or Manhattan distance between the two vectors. A small deviation indicates that the current design is relatively similar to the historical data; a large deviation indicates that there is a significant difference between the current design and the historical samples.

[0043] Finally, the module will determine whether the first basic deviation is within the preset deviation threshold. If the first basic deviation is less than the preset deviation threshold, it means that the design and material properties of the current silencer are close to the performance of the historical silencer. At this time, the module will decide to use the first silencer index in the historical record to replace the current preliminary silencer index. The purpose of this is to correct the estimated silencer performance of the current design through historical data to improve the accuracy and reliability of the prediction. Among them, the deviation threshold is a threshold value used to judge the degree of similarity between the current design and historical data. If the deviation is less than the threshold, it means that the current design is similar to the historical data, and the historical data can be used to adjust the silencer index; if the deviation is greater than the threshold, it means that the current design is quite different from the historical data, and further design optimization may be required.

[0044] Through these steps, the collaborative information analysis module not only utilizes current design features and material properties, but also incorporates historical data from actual silencer panels for comparison and optimization. This ensures optimal noise reduction performance for each batch of panels, and enables effective adjustments and optimization based on historical data even when faced with new designs or material properties.

[0045] Furthermore, the information collaborative analysis module 13 is further configured to perform the following steps:

[0046] P35a: Performing a vehicle test based on the material characteristic information and the design characteristic information to obtain a vehicle test result. P36a: Reading predetermined noise reduction effect evaluation indicators and analyzing the vehicle test result based on the predetermined noise reduction effect evaluation indicators to obtain a vehicle noise reduction index. P37a: Taking the average of the preliminary noise reduction index and the vehicle noise reduction index to replace and update the preliminary noise reduction index. The predetermined noise reduction effect evaluation indicators include a noise reduction performance indicator and a noise reduction quality indicator. The noise reduction performance indicator includes noise coefficient, damping characteristics, flow resistance, reflection coefficient, and acoustic impedance. The noise reduction quality indicator includes frequency response, temperature resistance, and durability.

[0047] In a possible embodiment of the present application, in the in-depth workflow of the information collaborative analysis module 13, in order to further improve the accuracy and practicality of the preliminary noise reduction index, the module realizes dynamic adjustment of the preliminary noise reduction index by combining experimental data with predetermined evaluation indicators of the noise reduction effect.

[0048] First, based on the material and design characteristics, the silencer is installed on an actual vehicle for testing. This on-vehicle testing phase is crucial because it simulates the performance of the silencer in a real-world operating environment, including its effectiveness against sound waves of varying frequencies, intensities, and directions. This results in turn provides a detailed record of the performance of the silencer under various conditions, including its noise attenuation and vibration suppression capabilities during vehicle operation.

[0049] Next, the predefined noise reduction evaluation indicators are read, including noise reduction performance indicators and noise reduction quality indicators. The noise reduction performance indicators include noise coefficient (which measures the noise reduction ability of the noise reduction plate), damping characteristics (which describe the material's ability to absorb and dissipate sound wave energy), flow resistance (which affects the energy loss of sound waves passing through the material), reflection coefficient (which measures the degree of sound wave reflection on the material surface), and acoustic impedance (which describes the resistance encountered by sound waves when propagating through the material).

[0050] The noise reduction quality indicators focus on the patch's frequency response (noise reduction effectiveness at different frequencies), temperature resistance (performance stability in high and low temperature environments), and durability (performance retention after long-term use). By comparing vehicle test results with these predetermined noise reduction evaluation indicators, for example using statistical analysis methods and data mining techniques, the information collaborative analysis module can analyze the vehicle noise reduction index, which comprehensively reflects the performance and quality level of the noise reduction patch in actual use.

[0051] Once the installed noise reduction index is calculated, the module compares it with the initially calculated preliminary noise reduction index. To further optimize the performance of the silencer, the module takes the average of the two and uses this average to replace the original preliminary noise reduction index. This mean substitution approach combines theoretical calculations with actual test results to provide a more accurate and practical noise reduction performance assessment. Because the preliminary noise reduction index may be affected by factors such as design assumptions and material selection, while the installed noise reduction index is derived from actual test results, the average value can compensate for any uncertainties or deviations in the theoretical calculation, making the final noise reduction performance assessment more accurate. This optimization method, which combines theory and practice, ensures that the noise reduction index achieves optimal noise attenuation in actual operation.

[0052] The production quality inspection record acquisition module 14 is used to dynamically acquire the production quality inspection record of the sound-absorbing plate, wherein the production quality inspection record includes a plurality of quality inspection correspondences.

[0053] Specifically, the primary function of the production quality inspection record acquisition module 14 of this application is to dynamically acquire quality inspection data related to the production process of the sound-absorbing panels and use this data as input to further optimize the production process and ensure the quality of the panels. By collecting and analyzing quality inspection data in real time, module 14 provides critical support for subsequent quality control and optimization of sound-absorbing performance.

[0054] Specifically, the core task of the production quality inspection record acquisition module is to dynamically acquire various quality inspection data for the silencer from the production line and quality inspection system. Dynamic acquisition means that the module can collect data from the production process in real time or periodically, rather than statically or one-time collection. Each step in the production process may generate new quality inspection data, and module 14 needs to capture data based on real-time production conditions.

[0055] The quality inspection records include various types of data, typically covering quality inspections at various stages of the production process, such as appearance inspection, dimensional measurement, and material testing. Data acquisition systems (e.g., PLC control systems, automated testing equipment, and quality control instruments) can record the quality status of the silencer at each stage of production in real time.

[0056] Moreover, the production quality inspection record is not just a single data point, but is composed of multiple quality inspection correspondences. The quality inspection correspondence refers to the association between each quality inspection result and specific production parameters (such as equipment settings, operators, production environment, etc.). For example, the appearance inspection results of a batch of silencers (such as defect-free, surface smoothness) may be related to parameters such as mold temperature and pressure during the production process. After establishing these relationships, the system can discover potential quality fluctuation patterns based on historical data, and adjust production parameters or perform quality control in a timely manner to ensure that the silencers meet quality requirements in each production cycle.

[0057] In terms of technical support, the production quality inspection record acquisition module 14 relies on Internet of Things (IoT) technology, sensor technology, and database management technology. IoT technology enables various quality inspection devices on the production line to transmit data in real time, while sensor technology is used to accurately measure and monitor the performance indicators of the silencer. Database management technology ensures that this massive amount of quality inspection data can be stored and retrieved efficiently and orderly for subsequent analysis and traceability.

[0058] Furthermore, the production quality inspection record acquisition module 14 may also include intelligent analysis capabilities, enabling preliminary analysis and screening of quality inspection data to identify potential quality issues or production anomalies. For example, the module may set warning thresholds. When a quality inspection result falls below or exceeds a preset standard, an early warning mechanism is automatically triggered, alerting production management personnel to take timely intervention measures.

[0059] In summary, the production quality inspection record acquisition module 14 provides comprehensive quality monitoring and data analysis support for the production control system by dynamically acquiring and managing the production quality inspection records of the silencer. This not only helps ensure the consistency and stability of product quality, but also provides strong data support for the continuous optimization and improvement of the production process.

[0060] The quality inspection correspondence evaluation module 15 is used to introduce a production control evaluation function to evaluate and analyze the first quality inspection correspondence among the multiple quality inspection correspondences to obtain a real-time production control coefficient of the sound-absorbing plate.

[0061] Furthermore, the quality inspection correspondence evaluation module 15 is further configured to perform the following steps:

[0062] P51: Obtain the first quality inspection result of the first quality inspection link according to the first quality inspection correspondence; P52: Traverse the first quality inspection result according to the first predetermined detection index of the first quality inspection link to obtain the first quality inspection data; P53: According to the production control evaluation function, obtain the first predetermined weight distribution of the first predetermined detection index, and obtain the first production control coefficient of the first quality inspection link in combination with the first quality inspection data; P54: Take the product of the first production control coefficients as the real-time production control coefficient.

[0063] Optionally, the quality inspection correspondence evaluation module 15 of the present application is responsible for conducting in-depth analysis of the quality inspection data in the production process and the preset control strategy, and by introducing a production control evaluation function, quantifying the contribution of each quality inspection link to the quality of the final product, and adjusting the production parameters based on this to ensure that the production quality of the silencer is always maintained at the optimal level.

[0064] First, the first quality inspection result of the first quality inspection link is determined and extracted based on the first quality inspection correspondence. Each quality inspection link will conduct a series of tests on the silencer, which may include appearance inspection, dimensional measurement, material testing, performance testing, etc. The first quality inspection link is the earliest or most critical inspection step in the production process, which is usually used to verify the appearance, basic dimensions and material properties of the silencer. Among them, the quality inspection correspondence refers to the association between a certain quality inspection result and specific production conditions (such as equipment parameters, operators, production environment, etc.), through which the production background corresponding to each quality inspection result can be traced. The first quality inspection result is data obtained through a specific quality test (such as appearance inspection, preliminary performance test), usually expressed as a pass / fail result, or detailed numerical data (such as dimensional deviation, number of surface defects, etc.).

[0065] Next, the first quality inspection results are reviewed based on the first predetermined inspection metric of the first quality inspection phase. Predetermined inspection metrics are performance indicators designed to quantify and standardize quality inspection results, such as dimensional tolerance, appearance defect rate, and material strength. The first quality inspection results are reviewed and data related to the predetermined metric is extracted to form the first quality inspection data.

[0066] Then, the first quality inspection data is analyzed according to the production control evaluation function, and the first production control coefficient is calculated in combination with the corresponding first predetermined weight allocation. The production control evaluation function is a mathematical model or algorithm for evaluating the importance of each quality inspection indicator based on historical data, statistical analysis and production experience, and assigning weights to them. These functions are usually based on regression analysis, principal component analysis (PCA) or machine learning algorithms. The first production control coefficient is a numerical value calculated by combining the first quality inspection data with the corresponding weight, which reflects the ability of the quality inspection link to control quality fluctuations in the production process. Different indicators of each quality inspection link may have different effects on the final quality of the product, so it is necessary to assign a weight to each predetermined inspection indicator to reflect its importance in the overall quality control.

[0067] Finally, the first production control coefficient is multiplied with the control coefficients of the other quality inspection links (if there are multiple quality inspection links) to obtain a comprehensive real-time production control coefficient. This coefficient serves as the basis for dynamic adjustments to the production process, guiding the production line on how to adjust parameters in real-time to maintain the quality stability of the silencer. The real-time production control coefficient reflects the comprehensive performance of all key quality inspection links in the current production process. It is dynamic and updates in real time as data changes during the production process. This coefficient acts like "quality feedback" in the production process, helping to adjust production control parameters (such as temperature, pressure, and speed) to optimize quality. The use of a product means that all quality inspection links influence each other, and quality fluctuations in any link may affect the final production control coefficient. Therefore, through the product method, the contributions of all quality inspection links are integrated into a single control coefficient, facilitating unified adjustments to the production process. Through this process, the system can promptly adjust production parameters based on actual production fluctuations, improving product quality and production efficiency.

[0068] Furthermore, after taking the product of the first production control coefficients as the real-time production control coefficient, the quality inspection correspondence evaluation module 15 is further configured to perform the following steps:

[0069] P55: Read predetermined environmental indicators, and perform multi-dimensional monitoring of the production environment of the silencer plate based on the predetermined environmental indicators to obtain environmental characteristic information; P56: Perform standardized weighted processing on the environmental characteristic information to obtain a production environment index; P57: Adjust the real-time production control coefficient using the production environment index as a weight coefficient; P58: Wherein, the predetermined environmental indicators include at least temperature, humidity and dust concentration.

[0070] In the further optimization process of the quality inspection correspondence evaluation module 15, in addition to evaluating the production quality inspection results to obtain the real-time production control coefficient, it is also necessary to consider the impact of the production environment on the quality of the silencer to ensure the stability of the final production process and the quality of the silencer.

[0071] First, the module reads predetermined environmental indicators, which are key parameters for assessing the suitability of the production environment for muffler production. Based on the characteristics of automotive muffler production and industry standards, these indicators include at least temperature, humidity, and dust concentration. Temperature affects material thermal expansion and contraction, as well as chemical reaction rates; humidity can affect hygroscopicity and adhesion; and dust concentration directly impacts the cleanliness of the production environment and the surface quality of the product. The module utilizes a sensor network to monitor these environmental indicators in real time, acquiring real-time environmental data.

[0072] Next, the collected environmental characteristic information will be standardized and weighted to eliminate the dimensional differences between different indicators and ensure that each environmental indicator has the same weight unit, thereby facilitating comprehensive analysis. Standardization can use common numerical conversion methods such as minimum-maximum normalization or Z-score normalization. Next, through weighted processing, a predetermined weight is assigned to each environmental indicator based on the degree of impact of different environmental factors on the production process. For example, temperature may have a greater impact on the production process, so its weight may be higher; humidity and dust concentration have less impact, so they can be assigned lower weights. Finally, through weighted processing, a comprehensive production environment index is obtained.

[0073] Then, using the production environment index as a weighting coefficient, combined with the previously obtained real-time production control coefficient, the control coefficient is further adjusted through weighted calculation. Changes in the production environment often have a nonlinear impact on the quality of the silencer. Therefore, through this weighted adjustment, the impact of the production environment can be more accurately reflected, ensuring that each link in the production process can operate according to optimal conditions. Using the production environment index as a weighting coefficient to adjust the real-time production control coefficient makes the production process more sensitive to changes in the current production environment. When environmental factors are abnormal, the system can automatically adjust the key control parameters in the production process to compensate for the impact of environmental changes and ensure the stable quality of the silencer.

[0074] By using the production environment index as an adjustment factor, the production control process is further optimized, enabling the production system to automatically adapt and adjust production parameters when environmental factors change, thereby solving the problem of the impact of the production environment on the quality of the silencer, improving the intelligence and adaptability of the production process, and further enhancing the production quality stability of the silencer and the flexibility of the system.

[0075] The noise reduction index dynamic adjustment module 16 is configured to dynamically adjust the preliminary noise reduction index based on the real-time production control coefficient to obtain a real-time noise reduction index.

[0076] Specifically, the noise reduction index dynamic adjustment module 16 of the present application is responsible for combining the real-time production control coefficient with the preliminary noise reduction index and performing dynamic adjustment, thereby optimizing the noise reduction performance of the noise reduction sheet and ensuring that the final product meets the design requirements and application standards.

[0077] By combining the real-time production control coefficient with the preliminary noise reduction index, module 16 can dynamically adjust the noise reduction index to obtain a real-time noise reduction index. The real-time noise reduction index takes into account the changing factors in the actual production process and more accurately reflects the noise reduction performance of the noise reduction plate at different production stages. This adjustment process can be achieved through a weighted adjustment algorithm, using the real-time production control coefficient as a weighting factor to adjust the preliminary noise reduction index. Common algorithms such as weighted averaging, proportional adjustment, or machine learning algorithms (such as regression models and neural networks) can perform this process.

[0078] The Real-Time Silencing Index (RSI) is a comprehensive indicator of the sheet's sound-absorbing performance. It considers factors such as material density, sound absorption coefficient, designed porosity, and thickness, while also accounting for potential quality fluctuations during production. Through dynamic adjustments, the RSI can promptly reflect the impact of production parameters (such as temperature, pressure, and production speed) on sheet quality, providing real-time feedback for subsequent production control.

[0079] This dynamic adjustment process ensures that the sound-absorbing plate is always in the best state of sound absorption throughout the production process. Compared with the static preliminary sound absorption index, the real-time sound absorption index can better adapt to changes in the production process and provide a more accurate basis for quality control.

[0080] The dynamic production control module 17 is used to dynamically control the production of the sound-absorbing sheet according to the real-time sound-absorbing index.

[0081] It should be understood that the dynamic production control module 17 of this application is responsible for converting the real-time noise reduction index into specific control instructions during the production process to optimize the production quality and efficiency of the sound-absorbing plate. By dynamically adjusting key parameters during the production process, this module ensures that the sound-absorbing performance of the sound-absorbing plate always meets the design requirements and quickly responds to and adjusts to potential quality issues during the production process.

[0082] Specifically, the dynamic production control module first obtains a real-time noise reduction index from the system. This index is calculated by previous modules (such as the information collaborative analysis module and the noise reduction index dynamic adjustment module) based on quality feedback during the production process. The real-time noise reduction index reflects the sound-absorbing performance of the sound-absorbing sheet under current production conditions, taking into account factors such as the sheet's sound absorption characteristics, material properties, and design structure.

[0083] Next, the real-time sound attenuation index is compared with the predetermined production control targets to evaluate whether the quality of the sound-absorbing sheets in the current production process meets the standards. Production control targets usually include the sound-absorbing performance indicators of the sound-absorbing sheets (such as sound absorption coefficient, acoustic impedance, etc.), production speed, material utilization rate, etc., which are pre-set standards or ranges, usually based on design requirements and application scenarios. For example, the sound absorption performance of the sound-absorbing sheets needs to meet certain standards, and exceeding or falling below the standards may affect the quality of the final product. If the real-time sound attenuation index shows a performance deviation of the sound-absorbing sheets, the system will activate the adjustment mechanism to provide real-time feedback and correct inappropriate parameters in the production process.

[0084] Furthermore, based on the gap between the real-time noise reduction index and the control target, the dynamic production control module will trigger corresponding production parameter adjustments. Production parameters may include but are not limited to material ratio, production temperature, compression force, production speed, etc. Once the production parameters are adjusted, the production line will continue production and generate a new real-time noise reduction index. Through the closed-loop control system, the new noise reduction index will enter the dynamic production control module again for analysis to determine whether further adjustments are needed. This process realizes real-time feedback and closed-loop control, ensuring that every link in the production process can be finely managed based on quality feedback information. As a key control indicator, the real-time noise reduction index not only improves the quality stability of the product, but also makes the production process more flexible and efficient, in line with the trend of industrial automation and intelligent manufacturing.

[0085] In summary, the embodiments of the present application have at least the following technical effects:

[0086] This application obtains material feature information and design feature information by collecting multi-dimensional material and design features, and conducts collaborative analysis to obtain a preliminary sound attenuation index, dynamically obtains production quality inspection records, evaluates the quality inspection results through a production control evaluation function, obtains a real-time production control coefficient, dynamically adjusts the preliminary sound attenuation index based on the coefficient, obtains a real-time sound attenuation index, and dynamically controls the production process accordingly, thereby optimizing the production quality and performance of the sound-absorbing sheet.

[0087] The technical effect of improving the quality and efficiency of silencer production has been achieved through intelligent real-time monitoring and dynamic adjustment.

[0088] It should be noted that the order in which the embodiments of the present application are presented is for illustrative purposes only and does not necessarily represent the superiority or inferiority of the embodiments. Furthermore, the foregoing descriptions of specific embodiments of this specification are provided. Furthermore, the processes depicted in the accompanying drawings do not necessarily require the specific order or sequential sequence shown to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0089] The above description is only a preferred embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present application should be included in the scope of protection of the present application.

[0090] This specification and drawings are merely illustrative of the present application and are intended to cover any and all modifications, variations, combinations, or equivalents within the scope of this application. Obviously, those skilled in the art may make various modifications and variations to this application without departing from the scope of this application. Thus, this application is intended to include such modifications and variations as fall within the scope of this application and its equivalents.

Claims

1. A production control system for automobile silencers, characterized in that: include: A material feature collection module is used to collect multi-dimensional material features of the sound-absorbing plate to obtain material feature information; A design feature collection module, configured to collect multi-dimensional design features of the sound-absorbing plate to obtain design feature information; An information collaborative analysis module, configured to collaboratively analyze the material characteristic information and the design characteristic information to obtain a preliminary sound attenuation index of the sound attenuation sheet; a production quality inspection record acquisition module, configured to dynamically acquire the production quality inspection record of the sound-absorbing plate, wherein the production quality inspection record includes a plurality of quality inspection correspondences, each of which is a set of associations between quality monitoring results and corresponding specific production parameters; a quality inspection correspondence evaluation module, configured to introduce a production control evaluation function to evaluate and analyze a first quality inspection correspondence among the multiple quality inspection correspondences to obtain a real-time production control coefficient for the sound-absorbing plate, wherein the production control evaluation function is a mathematical model or algorithm for evaluating the importance of various quality inspection indicators based on historical data, statistical analysis, and production experience, and the first quality inspection correspondence is used to determine and extract a first quality inspection result of the first quality inspection link; A noise reduction index dynamic adjustment module, configured to dynamically adjust the preliminary noise reduction index based on the real-time production control coefficient to obtain a real-time noise reduction index; A dynamic production control module, configured to dynamically control the production of the sound-absorbing sheet according to the real-time sound-absorbing index; The quality inspection correspondence relationship evaluation module is further configured to perform the following steps: Obtaining a first quality inspection result of a first quality inspection link according to the first quality inspection correspondence relationship; Traversing the first quality inspection result according to the first predetermined detection indicator of the first quality inspection link to obtain first quality inspection data; Obtaining a first predetermined weight distribution of the first predetermined detection indicator according to the production control evaluation function, and obtaining a first production control coefficient of the first quality inspection link in combination with the first quality inspection data; The product of the first production control coefficients is taken as the real-time production control coefficient.

2. The production control system for automobile noise-reducing sheets according to claim 1, characterized in that: The information collaborative analysis module is further configured to perform the following steps: Performing a weighted calculation on the material density and the material sound absorption coefficient in the material characteristic information to obtain a material sound attenuation index; Extracting design gap feature data from the design feature information, and analyzing the design gap feature data to obtain a design gap index; Matching the design thickness index corresponding to the design thickness data in the design feature information; The predetermined weight distribution is read, and the material sound attenuation index, the designed gap index, and the designed thickness index are calculated based on the predetermined weight distribution to obtain the preliminary sound attenuation index.

3. The production control system for automobile noise-reducing sheets according to claim 2, characterized in that: The designed gap feature data includes material wafer ratio data and designed structure gap ratio data.

4. The production control system for automobile noise-reducing sheets according to claim 2, characterized in that: After reading the predetermined weight distribution and calculating the material sound attenuation index, the designed gap index, and the designed thickness index based on the predetermined weight distribution to obtain the preliminary sound attenuation index, the information collaborative analysis module is further configured to perform the following steps: Developing a sound-absorbing basic vector of the sound-absorbing sheet based on the material sound-absorbing index, the designed gap index, and the designed thickness index; Extracting a first silencer record from a silencer database, wherein the first silencer record includes a first basis vector and a first silencer index; performing a first basic deviation between the noise cancellation basis vector and the first basis vector according to a predetermined comparison strategy; When the first basic deviation is within a deviation threshold, the preliminary noise reduction index is adjusted by using the first noise reduction index.

5. The production control system for automobile noise-reducing sheets according to claim 2, characterized in that: The information collaborative analysis module is further configured to perform the following steps: Performing a vehicle test according to the material characteristic information and the design characteristic information to obtain a vehicle test result; Reading a predetermined noise reduction effect evaluation index, and analyzing the vehicle installation test result based on the predetermined noise reduction effect evaluation index to obtain a vehicle installation noise reduction index; The average of the preliminary silencer index and the installed silencer index is taken instead of updating the preliminary silencer index.

6. The production control system for automobile noise-reducing sheets according to claim 5, characterized in that: The predetermined noise reduction effect evaluation index includes a noise reduction performance index and a noise reduction quality index, wherein the noise reduction performance index includes noise coefficient, damping characteristics, flow resistance, reflection coefficient, and acoustic impedance, and the noise reduction quality index includes frequency response, temperature resistance, and durability.

7. The production control system for automobile noise-reducing sheets according to claim 1, characterized in that: After taking the product of the first production control coefficients as the real-time production control coefficient, the quality inspection correspondence evaluation module is further configured to perform the following steps: Reading predetermined environmental indicators, and performing multi-dimensional monitoring of the production environment of the sound-absorbing plate based on the predetermined environmental indicators to obtain environmental characteristic information; Performing standardized weighted processing on the environmental characteristic information to obtain a production environment index; Adjusting the real-time production control coefficient using the production environment index as a weight coefficient; Wherein, the predetermined environmental indicators include at least temperature, humidity and dust concentration.

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