Nonwoven fabric processing process control method and system

Abstract

The application provides a non-woven fabric processing process control method and system, relates to the technical field of process control, and comprises the following steps: acquiring application scene information of the non-woven fabric, performing multidimensional demand analysis, and obtaining non-woven fabric multidimensional processing demand information; determining a non-woven fabric processing control scheme; preparing raw materials and obtaining a raw material preparation result; performing fiberization treatment and obtaining a fiberization treatment result; performing arrangement, laying and webbing treatment to obtain a web layer processing result; performing consolidation treatment to obtain a non-woven fabric product; performing quality detection to obtain a non-woven fabric product quality detection result; and performing scheme optimization and controlling the non-woven fabric processing process according to a scheme optimization result. The application solves the technical problem that the non-woven fabric processing process in the prior art is often based on a fixed scheme, it is difficult to quickly respond to changes in market demand, and there is a lack of accurate demand analysis means, resulting in insufficient intelligent level of the non-woven fabric processing process.

Description

Technical Field

[0001] This invention relates to the field of process control technology, specifically to a method and system for controlling the processing of nonwoven fabrics. Background Technology

[0002] Nonwoven fabrics, as a high-performance material, are widely used in various fields due to their lightweight, high strength, and multifunctionality. This widespread application necessitates highly flexible and customized production processes to meet the specific performance requirements of different sectors. However, traditional processing techniques are often based on fixed solutions, making it difficult to quickly respond to changes in market demand. For example, different applications require nonwoven fabrics to possess multi-dimensional properties, such as high-temperature resistance, waterproofing, and antibacterial properties. Traditional processes struggle to achieve personalized production and lack systematic demand analysis methods, failing to accurately translate the performance requirements of application scenarios into production parameters. Consequently, the produced nonwoven fabrics may not meet specific needs. Summary of the Invention

[0003] This application provides a method and system for controlling the nonwoven fabric processing technology, aiming to solve the technical problems that existing nonwoven fabric processing technologies are often based on fixed schemes, making it difficult to quickly respond to changes in market demand, and lacking accurate demand analysis methods, resulting in insufficient intelligence in the nonwoven fabric processing technology.

[0004] The first aspect disclosed in this application provides a method for controlling the processing technology of nonwoven fabrics. The method includes: acquiring application scenario information of the nonwoven fabric; performing multi-dimensional demand analysis based on the application scenario information to obtain multi-dimensional processing demand information for the nonwoven fabric; determining a nonwoven fabric processing control scheme based on the multi-dimensional processing demand information, wherein the nonwoven fabric processing control scheme includes a raw material preparation scheme, a fiber forming control scheme, a web processing control scheme, and a consolidation treatment control scheme; preparing raw materials for the nonwoven fabric based on the raw material preparation scheme to obtain raw material preparation results, wherein the raw material preparation results include polymer materials, auxiliaries, and fiber raw materials; and preparing the raw materials based on the fiber forming control scheme. The result is a fiberization process, which yields a fiberization result comprising multiple fiber layers. Based on the web processing control scheme, the multiple fiber layers are arranged, laid out, and web-formed to obtain a web processing result comprising a uniform fiber web. Based on the consolidation treatment control scheme, the uniform fiber web is consolidated to obtain a nonwoven fabric product. The nonwoven fabric product undergoes quality inspection to obtain a nonwoven fabric product quality inspection result, which includes multiple product defects. Based on these multiple product defects, the nonwoven fabric processing control scheme is optimized, and the nonwoven fabric processing technology is controlled according to the optimization results.

[0005] The second aspect of this application discloses a nonwoven fabric processing control system. The system is used in the aforementioned nonwoven fabric processing control method. The system includes: a multi-dimensional demand analysis module for acquiring application scenario information of the nonwoven fabric, performing multi-dimensional demand analysis based on the application scenario information, and obtaining multi-dimensional processing demand information for the nonwoven fabric; a control scheme acquisition module for determining a nonwoven fabric processing control scheme based on the multi-dimensional processing demand information, wherein the nonwoven fabric processing control scheme includes a raw material preparation scheme, a fiber forming control scheme, a web processing control scheme, and a consolidation treatment control scheme; a raw material preparation module for preparing raw materials for the nonwoven fabric based on the raw material preparation scheme and obtaining raw material preparation results, wherein the raw material preparation results include polymer materials, auxiliaries, and fiber raw materials; and a fiberization treatment module for... The nonwoven fabric processing control scheme performs fiberization processing on the raw material preparation results to obtain a fiberization result, wherein the fiberization result includes multiple fiber layers; the web forming processing module is used to arrange, lay, and form webs on the multiple fiber layers based on the web processing control scheme to obtain a web processing result, wherein the web processing result includes a uniform fiber web; the consolidation processing module is used to consolidate the uniform fiber web based on the consolidation processing control scheme to obtain a nonwoven fabric product; the quality inspection module is used to perform quality inspection on the nonwoven fabric product to obtain a nonwoven fabric product quality inspection result, wherein the nonwoven fabric product quality inspection result includes multiple product defects; and the process control module is used to optimize the nonwoven fabric processing control scheme based on the multiple product defects, and to control the nonwoven fabric processing process according to the optimization result.

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

[0007] Multi-dimensional demand analysis based on application scenario information ensures a high degree of alignment between the nonwoven fabric processing and the performance requirements of the final application, enabling product customization to meet specific needs in different scenarios. The complex processing is broken down into four specific solutions: raw material preparation, fiber forming control, web processing control, and consolidation treatment control. This provides clear operational guidance for each processing stage. Standardization of the processing control solutions improves their applicability and replicability, facilitating their promotion in different production environments. The selection of polymer materials, auxiliaries, and fiber raw materials based on the set of demand characteristics ensures that the performance of the raw materials matches the performance of the final product. This process improves the targeting of raw material selection and reduces processing anomalies caused by raw material mismatch. Through fiberization, fiber layers are obtained. By arranging, laying, and web-forming these fiber layers, a uniform fiber web is obtained. Based on a consolidation treatment scheme, the uniform fiber web is subjected to hot pressing, chemical treatment, or mechanical reinforcement to obtain nonwoven fabric products, ensuring that the nonwoven fabric products meet the needs of various scenarios. Comprehensive testing of multiple performance indicators of the finished product is conducted to promptly identify defects and ensure that the product meets quality requirements. Based on the quality testing results and defect analysis, the control schemes for raw material preparation, fiber forming, web processing, and consolidation treatment are optimized to achieve process self-adaptation and intelligence.

[0008] The above description is only an overview of the technical solution of this application. In order to better understand the technical means of this application and to implement it in accordance with the contents of the specification, and to make the above and other objects, features and advantages of this application more obvious and understandable, the following are specific embodiments of this application. Attached Figure Description

[0009] Figure 1 This is a schematic flowchart of a nonwoven fabric processing technology control method provided in an embodiment of this application.

[0010] Figure 2 This is a schematic diagram of a nonwoven fabric processing control system provided in an embodiment of this application.

[0011] Figure labeling: Multi-dimensional demand analysis module 10, control scheme acquisition module 20, raw material preparation module 30, fiberization treatment module 40, web forming treatment module 50, consolidation treatment module 60, quality inspection module 70, process control module 80. Detailed Implementation

[0012] This application provides a method and system for controlling the nonwoven fabric processing technology, which solves the technical problem that existing nonwoven fabric processing technologies are often based on fixed schemes, making it difficult to quickly respond to changes in market demand, and lacking accurate demand analysis methods, resulting in insufficient intelligence in the nonwoven fabric processing technology.

[0013] After introducing the basic principles of this application, various non-limiting embodiments of this application will be described in detail below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are merely illustrative of this application and are not intended to limit this application.

[0014] Example 1, as Figure 1 As shown in the figure, this application provides a method for controlling the processing technology of nonwoven fabrics, the method comprising:

[0015] Obtain application scenario information for nonwoven fabrics, and conduct multi-dimensional demand analysis based on the application scenario information to obtain multi-dimensional processing demand information for nonwoven fabrics.

[0016] To obtain specific application scenarios for nonwoven fabrics, application scenarios refer to the end-use areas of nonwoven fabrics, including industries such as medical, construction, environmental protection, and clothing. Each application scenario has different requirements for the performance of nonwoven fabrics. For example, the medical field may emphasize antibacterial properties, durability, and breathability, while the construction field may focus on sound insulation and heat resistance.

[0017] Based on the application scenario information, multi-dimensional demand characteristics related to nonwoven fabric processing are extracted, including functional demand analysis, physical performance demand analysis, and environmental protection demand analysis. Functional demands include breathability, water absorption, waterproofness, antibacterial properties, and high temperature resistance. Physical performance demands include strength requirements, softness, thickness, and density. Environmental protection demands include biodegradability and non-toxicity. For example, nonwoven fabrics used in the medical and hygiene fields need to have good breathability and non-toxicity to avoid moisture and bacterial growth.

[0018] Through the above demand analysis, multi-dimensional processing demand information for nonwoven fabrics is finally formed. This information not only includes various requirements such as functions, physical properties, and environmental protection, but also includes specific numerical targets or parameter requirements, providing clear and detailed guidance for the processing control scheme of nonwoven fabrics.

[0019] Based on the multi-dimensional processing requirements information of the nonwoven fabric, a nonwoven fabric processing control scheme is determined, wherein the nonwoven fabric processing control scheme includes a raw material preparation scheme, a fiber forming control scheme, a web layer processing control scheme, and a consolidation treatment control scheme.

[0020] Based on the multi-dimensional processing requirements of nonwoven fabrics, specific nonwoven fabric processing control schemes are formulated. The nonwoven fabric processing control schemes include four key sub-schemes: raw material preparation scheme, fiber forming control scheme, web layer processing control scheme, and consolidation treatment control scheme. These schemes need to be tailored to different processing requirements to ensure that nonwoven fabrics can meet performance requirements in different application scenarios. The specific scheme generation process will be detailed in subsequent steps and will not be elaborated here.

[0021] Based on the aforementioned raw material preparation scheme, the raw materials for nonwoven fabric are prepared, and the raw material preparation results are obtained, wherein the raw material preparation results include polymer materials, auxiliaries, and fiber raw materials.

[0022] Based on the requirements in the raw material preparation plan, confirm the types and specifications of the various raw materials needed, including polymer materials, additives and fiber raw materials. After confirmation, purchase raw materials from suppliers. During the procurement process, it is necessary to ensure that the supplier's raw materials meet the required quality standards, such as non-toxic, environmentally friendly, and in compliance with technical requirements.

[0023] The raw material preparation results are subjected to fiberization treatment based on the fiber forming control scheme to obtain fiberization treatment results, wherein the fiberization treatment results include multiple fiber layers.

[0024] Based on the fiber forming control scheme, a suitable fiber forming process is selected. Common fiber forming methods include dry spinning, wet spinning, and meltblowing. The appropriate fiber forming method is chosen according to needs to ensure that the formed fibers meet the required physical properties. During the forming process, fiber stretching is performed to adjust the fiber's fineness, length, strength, and other characteristics. Fiber stretching parameters include temperature, airflow rate, and pressure, which are precisely controlled according to the scheme. The formed fibers are then stacked and interwoven according to the density and number of layers set in the scheme. The fiber layers can be arranged in parallel. Fiber interweaving can be achieved through needle punching, thermal bonding, or mechanical pressing. At this point, the bonding strength and uniformity between fiber layers will directly affect the overall performance of the nonwoven fabric. According to the forming process, multiple fiber layers are generated. The spacing and arrangement of each layer are designed according to the scheme. These layers will determine the final characteristics of the nonwoven fabric, such as water absorption, air permeability, and strength.

[0025] Based on the aforementioned web processing control scheme, the multiple fiber layers are arranged, laid out, and web-formed to obtain a web processing result, wherein the web processing result includes a uniform fiber web.

[0026] Based on the web processing control scheme, a suitable web forming process is selected. Common web forming methods include needle punching, thermal bonding, hydroentangling, and air-jet web forming. Before web forming, the fibers are uniformly arranged and laid. Depending on the selected process, the fibers can be uniformly laid to the web forming area by mechanical or air-jet methods. Multi-layer stacking can be used. The density and arrangement direction of the fibers in each layer are adjusted according to the functional requirements of the web. The web forming process connects multiple fiber layers into a uniform web. At this time, the fibers will form tight interlacing points, giving the web a certain structural strength and stability. During the needle punching process, a mechanical needle head is used to penetrate the fiber layer and intertwine the fibers to form a dense mesh structure. The intensity and number of needle punches directly affect the thickness and strength of the web. Through the above processes, a uniform fiber web is formed.

[0027] The uniform fiber web is consolidated using the aforementioned consolidation control scheme to obtain a nonwoven fabric product.

[0028] According to the consolidation treatment control scheme, a suitable consolidation treatment method is selected. Common consolidation methods include thermal consolidation, chemical consolidation, and mechanical consolidation. During thermal consolidation, the consolidation temperature and pressure must be precisely controlled. Excessive temperature or pressure will affect the appearance or physical properties of the nonwoven fabric, causing the product to become brittle or deformed. The consolidation time must also be precisely controlled, as it has a significant impact on the strength and stability of the nonwoven fabric. Too short a time may result in incomplete consolidation, while too long a time may result in over-consolidation, affecting the softness of the fiber web. After consolidation, the nonwoven fabric is cooled to stabilize its shape. Through the consolidation treatment, a nonwoven fabric product that initially meets the requirements is finally obtained.

[0029] The nonwoven fabric product is subjected to quality inspection to obtain the nonwoven fabric product quality inspection results, wherein the nonwoven fabric product quality inspection results include multiple product defects.

[0030] Based on the application requirements and quality standards of nonwoven fabrics, select appropriate testing methods. For example, conduct physical property testing, such as testing tensile strength, elongation at break, tear strength, thickness, and density. These indicators can reflect the durability and reliability of nonwoven fabrics. Conduct visual inspection, using image recognition technology to assess whether the surface of the nonwoven fabric is uniform and whether there are obvious defects or flaws, such as fiber accumulation, shedding, or damage. Conduct air permeability testing to test the air permeability of the nonwoven fabric and evaluate its suitability for different application scenarios.

[0031] During the quality inspection process, data on various indicators are collected to determine which parts of the nonwoven fabric do not meet the quality standards, and defects in the nonwoven fabric products are marked, such as uneven fiber distribution, damage or breakage, surface defects, insufficient strength, etc., thus obtaining multiple product defects.

[0032] Based on the aforementioned product defects, the nonwoven fabric processing control scheme is optimized, and the nonwoven fabric processing technology is controlled according to the optimization results.

[0033] Based on the quality inspection results, the sources of multiple product defects were identified, including raw material issues, improper forming processes, and equipment malfunctions. For different types of defects, the processing control scheme for nonwoven fabrics was adjusted. Specifically, if the defect was related to the quality of the raw materials, the selection and proportion of raw materials were optimized, for example, by improving the type, length, and diameter of fibers, or by changing auxiliaries and adhesives. For problems such as uneven fiber layer arrangement or weak web formation, the fiber forming process could be adjusted, such as changing the fiber laying method, adjusting the needle punching intensity or density. If the uniformity of the web layer was poor, parameters such as needle punching density, thermal bonding temperature, and time needed to be optimized, or other web forming methods could be used to ensure the uniformity and strength of the web layer. For products with insufficient strength or many defects, parameters such as the temperature, pressure, and time of the consolidation treatment needed to be adjusted to ensure the firmness of the web layer.

[0034] Based on the optimization results, the process parameters on the nonwoven fabric production line are adjusted. These adjustments can be made by modifying the control system, production equipment, or operating methods to eliminate specific defects. After the optimization plan is adjusted, a small-batch trial production is conducted, and the production results are tested. The effectiveness of the optimization plan is verified by analyzing the trial production results. If the trial production results meet expectations, the production is officially put into operation; if problems still exist, the optimization plan is further adjusted based on feedback.

[0035] Furthermore, the method for performing multi-dimensional demand analysis based on the application scenario information to obtain multi-dimensional processing demand information for nonwoven fabrics includes:

[0036] The interactive nonwoven fabric processing management terminal obtains N nonwoven fabric processing nodes and corresponding N processing performance index sets, where N is a positive integer; based on the N processing performance index sets, the application scenario information is decomposed into demand features to generate N demand feature sets; the N demand feature sets are integrated to obtain the multi-dimensional processing demand information of the nonwoven fabric.

[0037] Nonwoven fabric processing nodes represent specific technological steps or stages in the nonwoven fabric production process. These nodes may include raw material preparation, fiberization, web forming, and consolidation. Each node contains multiple process parameters that affect the performance of the processed product. Processing performance indicators are used to evaluate the relevant performance properties of the output at each processing node, such as thickness, density, tensile strength, and flexibility.

[0038] Through interaction with the nonwoven fabric processing management terminal, N nonwoven fabric processing nodes and N sets of processing performance indicators are obtained, where N is the number of specific nodes. The collected raw data is sorted and standardized, and each processing node and its corresponding set of processing performance indicators are mapped and recorded to represent the specific performance of each processing node.

[0039] Based on the specific needs of each application scenario, we analyze how to map these needs to the performance indicators of nonwoven fabric processing nodes. For example, in a certain application scenario, higher tensile strength and a more uniform web structure are required. Therefore, when breaking down the requirements, we need to focus on the performance indicators of these processing nodes, such as strength control in fiberization and fiber uniformity in web forming. For some special scenarios, such as medical nonwoven fabrics, it is also necessary to control the product's air permeability and bacterial filtration effect. This requires breaking down the relevant performance indicators, such as fiber density and air permeability testing.

[0040] The demand features extracted from application scenarios are matched with the performance indicators of processing nodes to generate a set of demand features for each node. For example, if an application scenario requires a product with high strength and high breathability, the relevant set of demand features will include strength control and breathability requirements. Furthermore, the extracted demand features are quantified so that they can be used for processing control. Quantification methods can include numerical standards, upper and lower limits, etc., to ensure that the production process can be adjusted in real time according to the demand features.

[0041] The demand characteristics of each processing node are summarized to construct a multi-dimensional processing demand information for nonwoven fabrics that includes all node characteristics, covering all production stages from raw material preparation to final product.

[0042] Furthermore, the method for determining a nonwoven fabric processing control scheme based on the multi-dimensional processing requirements information of the nonwoven fabric includes:

[0043] Based on the raw material performance and characteristic requirement set among the N requirement characteristic sets, the raw material preparation scheme is obtained; based on the fiber forming structure performance requirement set among the N requirement characteristic sets, the fiber forming control scheme is obtained; based on the web density and functional requirement characteristic set among the N requirement characteristic sets, the web processing control scheme is obtained; based on the consolidation strength and physical performance requirement characteristic set among the N requirement characteristic sets, the consolidation treatment control scheme is obtained.

[0044] Based on the raw material performance and characteristic requirements from N sets of demand characteristics, such as non-toxicity, biodegradability, high temperature resistance, and antibacterial properties, the required raw material types and properties are determined. For example, for medical nonwoven fabrics, antibacterial and non-toxic materials need to be selected; while for industrial nonwoven fabrics, high temperature resistance and wear resistance raw materials may be required. Appropriate raw materials are selected based on the demand characteristics, such as fiber raw materials (e.g., polypropylene, polyester), auxiliaries (e.g., antibacterial agents, stabilizers, softeners), and fillers (e.g., natural plant fibers, inorganic fillers). Raw materials that meet the standards are selected from the raw material suppliers. After determining the types of raw materials, a specific formulation plan is developed to ensure the quality, stability, and uniformity of the raw materials. The raw material preparation plan is then analyzed and output, determining the required raw material types and proportions.

[0045] The specific methods for generating the raw material preparation scheme will be detailed in subsequent steps. The processes for generating the fiber forming control scheme, the web processing control scheme, and the consolidation treatment control scheme are similar to those for the raw material preparation scheme. For the sake of brevity, only a brief overview is provided here, without repetition.

[0046] Based on the fiber forming structure performance requirement set from N demand characteristic sets, the fiber forming process is controlled to ensure that the structure of the nonwoven fiber meets the performance requirements. Specifically, based on the fiber characteristic requirements, such as fiber fineness, strength, and softness, the fiber processing method is selected, such as meltblown fiber, wet forming, or dry forming. The process parameters for fiber forming, such as temperature, pressure, speed, and forming time, are determined to ensure that the fiber morphology and arrangement meet expectations. For example, if higher fiber density and strength are required, the pressing pressure may need to be increased; while if softness is emphasized, the forming temperature may need to be controlled. Based on the structural characteristics in the requirements, the fiber arrangement, interlacing density, and number of layers are adjusted to achieve the desired mesh structure. After analysis, a fiber forming control scheme is output, determining the fiber forming method, parameter settings, and structural adjustment methods.

[0047] Based on the web density and functional requirement sets from N demand characteristic sets, the web formation process is controlled to ensure uniform fiber distribution and correct layering structure to meet the physical and functional requirements of the final product. Specifically, according to the application requirements of the nonwoven fabric, such as water absorption, strength, and softness, appropriate laying and arrangement methods are selected, such as wet web laying, dry web laying, and needle punching processes. The amount and number of fiber layers are adjusted according to the web density requirements. For example, the medical field may require a more uniform and breathable web, while the industrial field may require a higher density web to enhance filtration performance. Depending on the application requirements of the web, it is determined whether thermal bonding, mechanical bonding, or chemical bonding is necessary to ensure the adhesion strength between layers. The analysis outputs a web processing control scheme, including fiber arrangement, web density control, and bonding methods.

[0048] Based on the set of consolidation strength and physical performance requirements from N sets of demand characteristics, the fiber layers of the nonwoven fabric are further stabilized to ensure that the final nonwoven fabric product possesses the required physical properties, such as strength and durability. Specifically, based on the required physical performance characteristics such as strength and flexibility, a suitable consolidation method is selected, such as thermal consolidation, chemical consolidation, or ultrasonic consolidation. According to the selected consolidation method, the corresponding process parameters, such as temperature, pressure, and time, are adjusted. For example, during thermal consolidation, temperature and pressure need to be controlled to ensure that the melting and bonding effect between fibers reaches the optimal level. After analysis, a consolidation treatment control scheme is output to ensure that the performance of the nonwoven fabric meets the required characteristics through the consolidation process.

[0049] Furthermore, the method for analyzing and obtaining the raw material preparation plan based on the raw material performance and characteristic requirement feature set from the N requirement feature sets includes:

[0050] Call the preset raw material preparation scheme library; based on the set of raw material performance and characteristic requirements, perform a traversal and matching in the preset raw material preparation scheme library, and determine the raw material preparation scheme according to the traversal and matching results.

[0051] The system invokes a pre-defined raw material preparation scheme library, which is a database built based on past experience, technical documents, and process specifications. Each raw material preparation scheme includes a detailed formula, preparation process, and performance description. The system connects to the scheme library via API or built-in algorithm interface, initiates a scheme invocation request based on the set of demand features, and returns a raw material preparation scheme related to the demand, providing input data for subsequent matching.

[0052] Furthermore, the method of performing a traversal and matching process on the preset raw material preparation scheme library based on the set of raw material performance and characteristic requirements, and determining the raw material preparation scheme according to the traversal and matching results, includes:

[0053] Extract a first sample raw material preparation scheme from the preset raw material preparation scheme library, wherein the first sample raw material preparation scheme has a first sample raw material performance and characteristic requirement feature set; perform a similarity comparison analysis between the raw material performance and characteristic requirement feature set and the first sample raw material performance and characteristic requirement feature set to generate a first requirement feature similarity; and so on, traverse the preset raw material preparation scheme library to obtain multiple requirement feature similarities; obtain the sample raw material preparation scheme corresponding to the maximum value among the multiple requirement feature similarities as the raw material preparation scheme.

[0054] Define sample selection rules, such as selecting by index order or random sampling. Select samples from the preset raw material preparation scheme library according to the sample selection rules to obtain the first sample raw material preparation scheme. The first sample raw material preparation scheme has the set of performance and characteristic requirements of the first sample raw material.

[0055] For the set of raw material performance and characteristic requirements and the set of raw material performance and characteristic requirements for the first sample, a feature vectorization method is adopted to quantify each feature field. For example, performance fields (such as melting point and strength) are directly treated as numerical values, and classification fields (such as antibacterial properties and fire resistance) are encoded using binary codes to form a unified feature vector. Cosine similarity or Euclidean distance is used to calculate the feature similarity. After the calculation, a similarity value between 0 and 1 is obtained, which is used as the similarity of the first requirement feature. The higher the value, the higher the degree of matching between the sample solution and the current requirement.

[0056] According to the sample selection rules, all sample schemes in the scheme library are loaded sequentially. The similarity calculation method is repeated for each sample scheme to generate a corresponding similarity value, obtaining multiple demand feature similarities. The multiple demand feature similarities are compared, and the maximum similarity value is found. The sample scheme corresponding to the maximum similarity value is determined as the raw material preparation scheme to guide subsequent raw material preparation operations.

[0057] Furthermore, the set of raw material performance and characteristic requirements includes, but is not limited to, non-toxicity requirements, biodegradability requirements, high temperature resistance requirements, corrosion resistance requirements, waterproof requirements, and antibacterial requirements.

[0058] The set of raw material performance and characteristic requirements includes, but is not limited to, non-toxicity, biodegradability, high-temperature resistance, corrosion resistance, waterproofing, and antibacterial properties. Specifically, non-toxicity means the raw material will not release harmful chemicals during processing and use, typically used in medical textiles and food packaging materials; biodegradability means the raw material can be decomposed into harmless substances by microorganisms under natural conditions or specific conditions, typically used in environmentally friendly packaging materials and disposable hygiene products; high-temperature resistance means the raw material can maintain its physical properties and chemical stability under high-temperature conditions, typically used in industrial filter materials and fire-retardant fabrics; corrosion resistance means the raw material can resist chemical reactions in acidic, alkaline, or corrosive environments, typically used in chemical filter materials and protective clothing; waterproofing means the raw material's surface or internal structure can effectively prevent the penetration of liquid water, typically used in outdoor protective materials and building waterproofing layers; and antibacterial properties mean the raw material can inhibit specific microorganisms (such as bacteria and fungi), typically used in medical textiles and personal care products.

[0059] Furthermore, the method also includes:

[0060] During the nonwoven fabric processing, anomaly detection is performed, and anomaly statistics are collected based on the anomaly detection results to record the anomaly dataset. The anomaly dataset is then subjected to common clustering based on anomaly locations and anomaly features to generate common clustering results. It is determined whether the common clustering results can be mapped to a scheme. If so, feedback control of the nonwoven fabric processing technology is performed based on the mapping results.

[0061] Anomaly detection is performed during the nonwoven fabric processing process. For example, processing parameters such as temperature, pressure, fiber tension, and equipment vibration are collected in real time from nonwoven fabric processing equipment and sensors. Based on preset parameter thresholds, abnormal points that deviate from the normal range or pattern are detected. Statistics are performed according to the type of anomaly, such as temperature anomaly, tension anomaly, etc., and anomaly datasets are recorded.

[0062] Extract anomalous features and their corresponding locations from the anomalous dataset to form an anomalous feature matrix. Use a common clustering algorithm, such as K-Means, to analyze the anomalous feature matrix, find the commonalities of the anomalous features and the clustering results, and then apply the results to the common clustering.

[0063] The system checks for patterns that can be mapped to a preset solution library. For example, abnormal temperature in the consolidation zone can be mapped to a temperature control optimization scheme; abnormal tension in the web forming zone can be mapped to an equipment tension adjustment scheme. If the mapping conditions are met, the system proceeds to the next step of feedback control. The mapping results are used to optimize the scheme. For example, for the feedback control scheme corresponding to temperature abnormalities, the heating power of the consolidation equipment is reduced; for the feedback control scheme corresponding to tension abnormalities, the tension control accuracy of the web forming equipment is improved. Commands are sent to the processing equipment through the processing management terminal to automatically adjust process parameters, completing the feedback control of the nonwoven fabric processing process and achieving closed-loop control of nonwoven fabric production.

[0064] In summary, the nonwoven fabric processing control method provided in this application has the following technical effects:

[0065] Multi-dimensional demand analysis based on application scenario information ensures a high degree of alignment between the nonwoven fabric processing and the performance requirements of the final application, enabling product customization to meet specific needs in different scenarios. The complex processing is broken down into four specific solutions: raw material preparation, fiber forming control, web processing control, and consolidation treatment control. This provides clear operational guidance for each processing stage. Standardization of the processing control solutions improves their applicability and replicability, facilitating their promotion in different production environments. The selection of polymer materials, auxiliaries, and fiber raw materials based on the set of demand characteristics ensures that the performance of the raw materials matches the performance of the final product. This process improves the targeting of raw material selection and reduces processing anomalies caused by raw material mismatch. Through fiberization, fiber layers are obtained. By arranging, laying, and web-forming these fiber layers, a uniform fiber web is obtained. Based on a consolidation treatment scheme, the uniform fiber web is subjected to hot pressing, chemical treatment, or mechanical reinforcement to obtain nonwoven fabric products, ensuring that the nonwoven fabric products meet the needs of various scenarios. Comprehensive testing of multiple performance indicators of the finished product is conducted to promptly identify defects and ensure that the product meets quality requirements. Based on the quality testing results and defect analysis, the control schemes for raw material preparation, fiber forming, web processing, and consolidation treatment are optimized to achieve process self-adaptation and intelligence.

[0066] Example 2, based on the same inventive concept as the nonwoven fabric processing technology control method in the foregoing examples, such as... Figure 2 As shown in the figure, this application provides a nonwoven fabric processing control system, the system comprising:

[0067] The multi-dimensional demand analysis module 10 is used to acquire application scenario information of nonwoven fabrics, and perform multi-dimensional demand analysis based on the application scenario information to obtain multi-dimensional processing demand information of nonwoven fabrics; the control scheme acquisition module 20 is used to determine the nonwoven fabric processing control scheme based on the multi-dimensional processing demand information of nonwoven fabrics, wherein the nonwoven fabric processing control scheme includes a raw material preparation scheme, a fiber forming control scheme, a web processing control scheme, and a consolidation treatment control scheme; the raw material preparation module 30 is used to prepare raw materials for nonwoven fabrics based on the raw material preparation scheme and obtain raw material preparation results, wherein the raw material preparation results include polymer materials, auxiliaries, and fiber raw materials; the fiberization treatment module 40 is used to perform fiberization treatment on the raw material preparation results based on the fiber forming control scheme to obtain fiberized materials. The processing results include: a fiberization processing result comprising multiple fiber layers; a web forming processing module 50, used to arrange, lay, and form webs of the multiple fiber layers based on the web processing control scheme to obtain a web processing result, wherein the web processing result comprises a uniform fiber web; a consolidation processing module 60, used to consolidate the uniform fiber web based on the consolidation processing control scheme to obtain a nonwoven fabric product; a quality inspection module 70, used to perform quality inspection on the nonwoven fabric product to obtain a nonwoven fabric product quality inspection result, wherein the nonwoven fabric product quality inspection result comprises multiple product defects; and a process control module 80, used to optimize the nonwoven fabric processing control scheme based on the multiple product defects, and to control the nonwoven fabric processing process according to the optimization results.

[0068] Furthermore, the multi-dimensional demand analysis module 10 also includes the following operational steps:

[0069] The interactive nonwoven fabric processing management terminal obtains N nonwoven fabric processing nodes and corresponding N processing performance index sets, where N is a positive integer; based on the N processing performance index sets, the application scenario information is decomposed into demand features to generate N demand feature sets; the N demand feature sets are integrated to obtain the multi-dimensional processing demand information of the nonwoven fabric.

[0070] Furthermore, the control scheme acquisition module 20 also includes the following operation steps:

[0071] Based on the raw material performance and characteristic requirement set among the N requirement characteristic sets, the raw material preparation scheme is obtained; based on the fiber forming structure performance requirement set among the N requirement characteristic sets, the fiber forming control scheme is obtained; based on the web density and functional requirement characteristic set among the N requirement characteristic sets, the web processing control scheme is obtained; based on the consolidation strength and physical performance requirement characteristic set among the N requirement characteristic sets, the consolidation treatment control scheme is obtained.

[0072] Furthermore, the control scheme acquisition module 20 also includes the following operation steps:

[0073] Call the preset raw material preparation scheme library; based on the set of raw material performance and characteristic requirements, perform a traversal and matching in the preset raw material preparation scheme library, and determine the raw material preparation scheme according to the traversal and matching results.

[0074] Furthermore, the control scheme acquisition module 20 also includes the following operation steps:

[0075] Extract a first sample raw material preparation scheme from the preset raw material preparation scheme library, wherein the first sample raw material preparation scheme has a first sample raw material performance and characteristic requirement feature set; perform a similarity comparison analysis between the raw material performance and characteristic requirement feature set and the first sample raw material performance and characteristic requirement feature set to generate a first requirement feature similarity; and so on, traverse the preset raw material preparation scheme library to obtain multiple requirement feature similarities; obtain the sample raw material preparation scheme corresponding to the maximum value among the multiple requirement feature similarities as the raw material preparation scheme.

[0076] Furthermore, the set of raw material performance and characteristic requirements includes, but is not limited to, non-toxicity requirements, biodegradability requirements, high temperature resistance requirements, corrosion resistance requirements, waterproof requirements, and antibacterial requirements.

[0077] Furthermore, the system also includes a feedback control module to perform the following operational steps:

[0078] During the nonwoven fabric processing, anomaly detection is performed, and anomaly statistics are collected based on the anomaly detection results to record the anomaly dataset. The anomaly dataset is then subjected to common clustering based on anomaly locations and anomaly features to generate common clustering results. It is determined whether the common clustering results can be mapped to a scheme. If so, feedback control of the nonwoven fabric processing technology is performed based on the mapping results.

[0079] Through the foregoing detailed description of a nonwoven fabric processing control method, those skilled in the art can clearly understand the nonwoven fabric processing control system in this embodiment. Since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and relevant parts can be referred to the method section.

[0080] The above description of the disclosed embodiments enables those skilled in the art to make or use this application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of this application. Therefore, this application is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for controlling the processing technology of nonwoven fabrics, characterized in that, The method includes: Obtain application scenario information for nonwoven fabrics, and conduct multi-dimensional demand analysis based on the application scenario information to obtain multi-dimensional processing demand information for nonwoven fabrics. Based on the multi-dimensional processing requirements information of the nonwoven fabric, a nonwoven fabric processing control scheme is determined, wherein the nonwoven fabric processing control scheme includes a raw material preparation scheme, a fiber forming control scheme, a web layer processing control scheme, and a consolidation treatment control scheme. Based on the aforementioned raw material preparation scheme, the raw materials for nonwoven fabric are prepared to obtain the raw material preparation results, wherein the raw material preparation results include polymer materials, auxiliaries, and fiber raw materials. Based on the fiber forming control scheme, the raw material preparation results are subjected to fiberization treatment to obtain fiberization treatment results, wherein the fiberization treatment results include multiple fiber layers; Based on the aforementioned web processing control scheme, the multiple fiber layers are arranged, laid out, and web-formed to obtain a web processing result, wherein the web processing result includes a uniform fiber web; The uniform fiber web is consolidated based on the consolidation control scheme to obtain a nonwoven fabric product. The nonwoven fabric product is subjected to quality inspection to obtain the nonwoven fabric product quality inspection results, wherein the nonwoven fabric product quality inspection results include multiple product defects; Based on the aforementioned multiple product defects, the nonwoven fabric processing control scheme is optimized, and the nonwoven fabric processing technology is controlled according to the optimization results. The method further includes: During the nonwoven fabric processing, anomaly detection is performed, and anomaly statistics are recorded based on the anomaly detection results, thus recording the anomaly dataset. Perform common clustering on the abnormal dataset based on abnormal locations and abnormal features to generate common clustering results; Determine whether the common clustering results can be mapped to a scheme. If so, perform feedback control of the nonwoven fabric processing technology based on the mapping results.

2. The nonwoven fabric processing technology control method as described in claim 1, characterized in that, The method for performing multi-dimensional demand analysis based on the application scenario information to obtain multi-dimensional processing demand information for nonwoven fabrics includes: The interactive nonwoven fabric processing management terminal obtains N nonwoven fabric processing nodes and the corresponding N processing performance index sets, where N is a positive integer; Based on the set of N processing performance indicators, the application scenario information is decomposed into demand features to generate N demand feature sets. By integrating the N sets of demand features, multi-dimensional processing demand information for the nonwoven fabric is obtained.

3. The nonwoven fabric processing technology control method as described in claim 2, characterized in that, The method for determining a nonwoven fabric processing control scheme based on the multi-dimensional processing requirements information of the nonwoven fabric includes: The raw material preparation plan is obtained by analyzing the raw material performance and characteristic requirement sets in the N requirement characteristic sets. Based on the fiber forming structure performance requirement feature set in the N requirement feature sets, the fiber forming control scheme is obtained through analysis; Based on the mesh density and functional requirement feature set in the N requirement feature sets, the mesh processing control scheme is obtained through analysis; Based on the set of consolidation strength and physical performance requirements from the N sets of requirements, the consolidation treatment control scheme is obtained through analysis.

4. The nonwoven fabric processing technology control method as described in claim 3, characterized in that, The method for obtaining the raw material preparation plan by analyzing the raw material performance and characteristic requirement feature sets from the N requirement feature sets includes: Call the preset raw material preparation scheme library; Based on the set of raw material performance and characteristic requirements, a traversal and matching process is performed in the preset raw material preparation scheme library, and the raw material preparation scheme is determined according to the traversal and matching results.

5. The nonwoven fabric processing technology control method as described in claim 4, characterized in that, The method of performing a traversal and matching process based on the set of raw material performance and characteristic requirements in the preset raw material preparation scheme library, and determining the raw material preparation scheme according to the traversal and matching results, includes: Extract the first sample raw material preparation scheme from the preset raw material preparation scheme library, wherein the first sample raw material preparation scheme has a set of performance and characteristic requirements of the first sample raw material; A similarity comparison analysis is performed between the raw material performance and characteristic requirement feature set and the first sample raw material performance and characteristic requirement feature set to generate a first requirement feature similarity. Similarly, the preset raw material preparation scheme library is traversed to obtain multiple similarity scores of demand features; Obtain the sample raw material preparation plan corresponding to the maximum value among the multiple demand feature similarities, and use it as the raw material preparation plan.

6. The nonwoven fabric processing technology control method as described in claim 3, characterized in that, The set of raw material performance and characteristic requirements includes, but is not limited to, non-toxicity, biodegradability, high temperature resistance, corrosion resistance, waterproofing, and antibacterial properties.

7. A nonwoven fabric processing technology control system, characterized in that, The system is used to implement the nonwoven fabric processing control method according to any one of claims 1-6, the system comprising: The multi-dimensional demand analysis module is used to obtain application scenario information of non-woven fabrics, and to perform multi-dimensional demand analysis based on the application scenario information to obtain multi-dimensional processing demand information of non-woven fabrics. The control scheme acquisition module is used to determine the nonwoven fabric processing control scheme based on the multi-dimensional processing requirements information of the nonwoven fabric. The nonwoven fabric processing control scheme includes a raw material preparation scheme, a fiber forming control scheme, a web processing control scheme, and a consolidation treatment control scheme. The raw material preparation module is used to prepare the raw materials for nonwoven fabric based on the raw material preparation scheme and obtain the raw material preparation results, wherein the raw material preparation results include polymer materials, auxiliaries and fiber raw materials; A fiberization processing module is used to perform fiberization processing on the raw material preparation results based on the fiber forming control scheme to obtain fiberization processing results, wherein the fiberization processing results include multiple fiber layers; The web forming module is used to arrange, lay, and form webs the multiple fiber layers based on the web processing control scheme to obtain a web processing result, wherein the web processing result includes a uniform fiber web; A consolidation module is used to perform consolidation treatment on the uniform fiber web based on the consolidation treatment control scheme to obtain a nonwoven fabric product. The quality inspection module is used to perform quality inspection on the nonwoven fabric product and obtain the quality inspection result of the nonwoven fabric product, wherein the quality inspection result of the nonwoven fabric product includes multiple product defects; The process control module is used to optimize the nonwoven fabric processing control scheme based on the multiple product defects, and to control the nonwoven fabric processing process according to the optimization results.

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