Non-woven fabric processing technology control method and system

Abstract

The invention provides a non-woven fabric processing technology control method and system, and relates to the technical field of technology control, and the method comprises the steps: obtaining the application scene information of a non-woven fabric, carrying out the multi-dimensional demand analysis, and obtaining the multi-dimensional processing demand information of the non-woven fabric; determining a non-woven fabric processing control scheme; preparing raw materials to obtain a raw material preparation result; performing fibrosis treatment to obtain a fibrosis treatment result; arranging, laying and forming a net to obtain a net layer processing result; carrying out 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 performing non-woven fabric processing technology control according to a scheme optimization result. The technical problems that a non-woven fabric processing technology in the prior art is often based on a fixed scheme, changes of market demands are difficult to respond quickly, accurate demand analysis means are lacked, and the intelligent level of the non-woven fabric processing technology is insufficient are solved.

Description

Technical Field

[0001] The present invention relates to the technical field of process control, and in particular to a non-woven fabric processing process control method and system. Background Art

[0002] As a high-performance material, non-woven fabrics are widely used in many fields due to their light weight, high strength, and versatility. This wide application requires that their production processes have a high degree of flexibility and customization capabilities to meet the specific performance requirements of different fields. However, traditional processing techniques are often based on fixed solutions and are difficult to respond quickly to changes in market demand. For example, different application scenarios require non-woven fabrics to have multi-dimensional properties, such as high temperature resistance, waterproofness, and antibacterial properties, but traditional processes are difficult to achieve personalized production and lack systematic demand analysis methods. It is impossible to accurately convert the performance requirements of application scenarios into production parameters, resulting in the non-woven fabrics produced being unable to meet specific needs. Summary of the invention

[0003] The present application provides a non-woven fabric processing technology control method and system, aiming to solve the technical problems that the non-woven fabric processing technology in the prior art is often based on a fixed plan, is difficult to respond quickly to changes in market demand, and lacks accurate demand analysis means, resulting in insufficient intelligence level of the non-woven fabric processing technology.

[0004] The first aspect disclosed in the present application provides a non-woven fabric processing technology control method, the method comprising: obtaining application scenario information of the non-woven fabric, performing multi-dimensional demand analysis based on the application scenario information, and obtaining multi-dimensional processing demand information of the non-woven fabric; determining a non-woven fabric processing control scheme based on the multi-dimensional processing demand information of the non-woven fabric, wherein the non-woven 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; preparing raw materials for the non-woven fabric based on the raw material preparation scheme to obtain raw material preparation results, wherein the raw material preparation results include polymer materials, additives and fiber raw materials; and performing a control analysis on the raw material preparation based on the fiber forming control scheme. The result is subjected to fiberization treatment to obtain a fiberization treatment result, wherein the fiberization treatment result includes multiple fiber layers; based on the web layer processing control scheme, the multiple fiber layers are arranged, laid and web-formed to obtain a web layer processing result, wherein the web layer processing result includes a uniform fiber web; based on the consolidation treatment control scheme, the uniform fiber web is consolidated to obtain a non-woven fabric product; the non-woven fabric product is quality inspected to obtain a non-woven fabric product quality inspection result, wherein the non-woven fabric product quality inspection result includes multiple product defects; based on the multiple product defects, the non-woven fabric processing control scheme is optimized, and the non-woven fabric processing process is controlled according to the scheme optimization result.

[0005] According to a second aspect disclosed in the present application, there is provided a non-woven fabric processing technology control system, the system being used for the above-mentioned non-woven fabric processing technology control method, the system comprising: a multi-dimensional demand analysis module for obtaining application scenario information of non-woven fabrics, performing multi-dimensional demand analysis based on the application scenario information, and obtaining multi-dimensional processing demand information of non-woven fabrics; a control scheme acquisition module for determining a non-woven fabric processing control scheme based on the multi-dimensional processing demand information of non-woven fabrics, wherein the non-woven fabric processing control scheme comprises a raw material preparation scheme, a fiber forming control scheme, a web layer processing control scheme, and a consolidation treatment control scheme; a raw material preparation module for performing raw material preparation of non-woven fabrics based on the raw material preparation scheme, and obtaining raw material preparation results, wherein the raw material preparation results comprise polymer materials, additives and fiber raw materials; a fiberization treatment module for determining a non-woven fabric processing control scheme based on the fiber forming control scheme, and obtaining raw material preparation results, wherein the raw material preparation results comprise polymer materials, additives and fiber raw materials; and a fiberization treatment module for determining a non-woven fabric processing control scheme based on the fiber forming control scheme. A forming control scheme is used to perform fiberization processing on the raw material preparation result to obtain a fiberization processing result, wherein the fiberization processing result includes multiple fiber layers; a web processing module is used to arrange, lay and web the multiple fiber layers based on the web layer processing control scheme to obtain a web layer processing result, wherein the web layer processing result includes a uniform fiber web; a consolidation processing module is used to perform consolidation processing on the uniform fiber web based on the consolidation processing control scheme to obtain a non-woven fabric product; a quality inspection module is used to perform quality inspection on the non-woven fabric product to obtain a non-woven fabric product quality inspection result, wherein the non-woven fabric product quality inspection result includes multiple product defects; a process control module is used to optimize the non-woven fabric processing control scheme based on the multiple product defects, and perform non-woven fabric processing process control 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 can ensure that the non-woven fabric processing process is highly consistent with the performance requirements of the final use, realize product customization, and meet the specific needs of different scenarios; decompose the complex processing process into four specific plans, including raw material preparation plan, fiber forming control plan, web layer processing control plan, and consolidation treatment control plan, so that each processing stage has clear operation instructions. Through the standardization of processing control plans, the applicability and replicability of the plans are improved, which is convenient for promotion in different production environments; select polymer materials, additives and fiber raw materials based on the demand feature set to ensure that the raw material performance matches the final product performance , improve the targeted selection of raw materials and reduce processing anomalies caused by raw material mismatch; obtain a fiber layer through fiberization treatment, obtain a uniform fiber web by arranging, laying and web-forming the fiber layer, and obtain a non-woven fabric product by hot pressing, chemical treatment or mechanical reinforcement of the uniform fiber web based on the consolidation treatment scheme, so that the non-woven fabric product meets the scene requirements; conduct comprehensive inspections on multiple performance indicators of the finished product to detect defects in a timely manner and ensure that the product meets the quality requirements; optimize the control schemes of raw material preparation, fiber forming, web layer processing, consolidation treatment and other links based on quality inspection results and defect analysis to achieve process adaption and intelligence.

[0008] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0009] Figure 1 A schematic flow chart of a non-woven fabric processing technology control method provided in an embodiment of the present application.

[0010] Figure 2 A schematic diagram of the structure of a non-woven fabric processing technology control system provided in an embodiment of the present application.

[0011] Explanation of the accompanying drawings: multi-dimensional demand analysis module 10, control solution acquisition module 20, raw material preparation module 30, fiberization processing module 40, web forming processing module 50, consolidation processing module 60, quality inspection module 70, process control module 80. DETAILED DESCRIPTION

[0012] The embodiments of the present application provide a non-woven fabric processing technology control method and system to solve the technical problems that the non-woven fabric processing technology in the prior art is often based on a fixed plan, is difficult to quickly respond to changes in market demand, and lacks accurate demand analysis means, resulting in insufficient intelligence level of the non-woven fabric processing technology.

[0013] After introducing the basic principles of the present application, various non-limiting implementation methods of the present application will be specifically introduced below in conjunction with the accompanying drawings of the specification. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0014] Embodiment 1, as Figure 1 As shown, the embodiment of the present application provides a non-woven fabric processing technology control method, the method comprising:

[0015] Obtain application scenario information of non-woven fabrics, perform multi-dimensional demand analysis based on the application scenario information, and obtain multi-dimensional processing demand information of non-woven fabrics.

[0016] Obtain specific application scenario information for non-woven fabrics. Application scenarios refer to the final use areas of non-woven fabrics, including medical, construction, environmental protection, clothing and other industries. Each application scenario has different requirements for the performance of non-woven 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 non-woven fabric processing are extracted, including functional demand analysis, physical performance demand analysis, environmental protection demand analysis, etc. Functional requirements include breathability, water absorption, waterproofness, antibacterial, high temperature resistance, etc. Physical performance requirements include strength requirements, softness, thickness and density, etc. Environmental protection requirements include degradability and non-toxicity. For example, non-woven fabrics used in medical and sanitary 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 of non-woven fabrics is finally formed. This information not only includes the above-mentioned functions, physical properties, environmental protection and other requirements, but also includes specific numerical targets or parameter requirements, providing clear and detailed guidance for the processing control plan of non-woven fabrics.

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

[0020] According to the multi-dimensional processing demand information of non-woven fabrics, a specific non-woven fabric processing control plan is formulated. The non-woven fabric processing control plan includes four key sub-plans: raw material preparation plan, fiber forming control plan, web layer processing control plan and consolidation treatment control plan. These plans need to target different processing needs to ensure that non-woven fabrics can meet performance requirements in different application scenarios. The specific plan generation process is elaborated in detail in subsequent steps and will not be repeated here.

[0021] The raw materials of the non-woven fabric are prepared based on the raw material preparation scheme to obtain a raw material preparation result, wherein the raw material preparation result includes polymer materials, auxiliary agents and fiber raw materials.

[0022] Based on the requirements in the raw material preparation plan, confirm the types and specifications of various raw materials required, 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 result is subjected to fiberization processing based on the fiber forming control scheme to obtain a fiberization processing result, wherein the fiberization processing result includes a plurality of fiber layers.

[0024] According to the fiber forming control plan, select the appropriate fiber forming process. Common fiber forming methods include dry spinning, wet spinning, melt blowing, etc. Select the appropriate fiber forming method according to the needs to ensure that the formed fiber meets the required physical properties. During the forming process, the fiber is stretched to adjust the fineness, length, strength and other characteristics of the fiber. The fiber stretching parameters include temperature, air flow rate, pressure, etc., which are precisely controlled according to the plan. The formed fibers are superimposed and interwoven according to the density and number of layers set by the plan. The arrangement of the fiber layers can be parallel, and the fiber interlacing can be achieved by needle punching, thermal bonding or mechanical pressing. At this time, the bonding strength and uniformity between the fiber layers will directly affect the overall performance of the non-woven fabric. According to the forming process, multiple fiber layers are generated, and the spacing and arrangement between each layer are designed according to the plan. These layers will determine the final properties of the non-woven fabric, such as water absorption, air permeability, strength, etc.

[0025] The plurality of fiber layers are arranged, laid and web-formed based on the web layer processing control scheme to obtain a web layer processing result, wherein the web layer processing result includes a uniform fiber web.

[0026] According to the mesh processing control plan, select the appropriate mesh forming process. Common mesh forming methods include needle punching, thermal bonding, spunlace, and airflow. Before meshing, the fibers are evenly arranged and laid. According to the selected process, the fibers can be evenly laid in the mesh forming area by mechanical or airflow. A multi-layer stacking method can be used to adjust the density and arrangement direction of each layer of fibers according to the functional requirements of the mesh layer. The mesh forming process is used to connect multiple fiber layers into a uniform mesh layer. At this time, tight interlacing points will be formed between the fibers, so that the mesh layer has a certain structural strength and stability. During the needling process, a mechanical needling head is used to penetrate the fiber layer and interweave the fibers together to form a dense mesh structure. The intensity and number of needling directly affect the thickness and strength of the mesh layer. Through the above process, a uniform fiber mesh is formed.

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

[0028] According to the consolidation treatment control plan, select the appropriate consolidation treatment method. Common consolidation methods include thermal consolidation, chemical consolidation, and mechanical consolidation. During thermal consolidation, accurately control the consolidation temperature and pressure. Too high temperature or too high pressure will affect the appearance or physical properties of the non-woven fabric, causing the product to become brittle or deformed. The consolidation time must be accurately controlled. The consolidation time has a great influence on the strength and stability of the non-woven fabric. Too short a time may lead to incomplete consolidation, and too long a time may lead to excessive consolidation, affecting the softness of the fiber web. After consolidation, the non-woven fabric is cooled to stabilize its shape. Through consolidation treatment, a non-woven fabric product that initially meets the requirements is finally obtained.

[0029] The non-woven fabric product is subjected to quality inspection to obtain a quality inspection result of the non-woven fabric product, wherein the quality inspection result of the non-woven fabric product includes a plurality of product defects.

[0030] According to the application requirements and quality standards of non-woven fabrics, select appropriate testing methods. For example, conduct physical property tests, such as tensile strength, elongation at break, tear strength, thickness, density, etc. These indicators can reflect the durability and reliability of non-woven fabrics; conduct appearance inspections, by using image recognition technology to evaluate whether the surface of the non-woven fabric is uniform and whether there are obvious flaws or defects, such as fiber accumulation, shedding, damage, etc.; conduct air permeability tests, test the air permeability of non-woven fabrics, and evaluate their applicability in different application scenarios.

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

[0032] The non-woven fabric processing control scheme is optimized based on the multiple product defects, and the non-woven fabric processing process is controlled according to the scheme optimization result.

[0033] Based on the quality inspection results, the sources of multiple product defects are identified, including raw material problems, improper forming process, equipment failure, etc. The processing control plan of non-woven fabrics is adjusted for different types of defects. Specifically, if the defect is related to the quality of the raw materials, the selection and ratio of the raw materials are optimized, for example, the type, length, diameter, etc. of the fiber are improved, or auxiliary agents, adhesives, etc. are replaced; for problems such as uneven arrangement of the fiber layer or loose web formation, the fiber forming process can be adjusted, such as changing the fiber laying method, adjusting the needling intensity or needling density; if the uniformity of the web layer is poor, it is necessary to optimize the needling density, thermal bonding temperature and time and other parameters, or adopt other web forming methods to ensure the uniformity and strength of the web layer; for products with insufficient strength or more defects, it is necessary to adjust the temperature, pressure, time and other parameters of the consolidation treatment to ensure the firmness of the web layer.

[0034] According to the results of the program optimization, the process parameters on the non-woven fabric production line are adjusted. These adjustments can be achieved by adjusting the control system, production equipment or operating methods to eliminate specific defects. After the optimization program is adjusted, a small batch trial production is carried out and the production results are tested. The effectiveness of the program optimization is verified by analyzing the trial production results. If the trial production results meet expectations, it will be officially put into production; if there are still problems, the optimization program will continue to be adjusted based on feedback.

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

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

[0037] Nonwoven fabric processing nodes represent specific process steps or stages in the nonwoven fabric production process. For example, these nodes include raw material preparation, fiberization, web layer forming, consolidation, etc. Each node contains multiple process parameters that affect the performance of the processing results. Processing performance indicators are used to evaluate the relevant performance indicators of the output of each processing node, such as thickness, density, tensile strength, flexibility, etc.

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

[0039] According to the specific needs of each application scenario, analyze how to map these needs to the performance indicators of non-woven fabric processing nodes. For example, in a certain application scenario, higher tensile strength and a more uniform mesh structure are required. Therefore, when disassembling the needs, it is necessary to focus on the performance indicators of these processing nodes, such as strength control in fiberization treatment, fiber uniformity in mesh layer forming, etc. For some special scenarios, such as medical non-woven fabrics, it is also necessary to control the air permeability and bacterial filtration effect of the product, which requires the disassembly of relevant performance indicators, such as fiber density, air permeability testing, etc.

[0040] The demand characteristics extracted from the application scenario are matched with the performance indicators of the processing node to generate a set of demand characteristics for each node. For example, if a product required by a certain application scenario requires high strength and high air permeability, the relevant demand characteristic set will include strength control, air permeability requirements, etc. Furthermore, the extracted demand characteristics are quantified so that they can be used for processing control. The quantification method 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 characteristics.

[0041] The demand feature set of each processing node is summarized to construct multi-dimensional processing demand information of non-woven fabrics containing all node features, covering all production links from raw material preparation to final product.

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

[0043] The raw material preparation plan is analyzed based on the raw material performance and characteristic demand feature sets in the N demand feature sets; the fiber forming control plan is analyzed based on the fiber forming structure performance demand feature sets in the N demand feature sets; the web layer processing control plan is analyzed based on the web layer density and functional demand feature sets in the N demand feature sets; the consolidation processing control plan is analyzed based on the consolidation strength and physical performance demand feature sets in the N demand feature sets.

[0044] According to the raw material performance and characteristic requirements in the N demand feature sets, such as non-toxic, degradable, high temperature resistant, antibacterial, etc., determine the required raw material types and properties. For example, for medical non-woven fabrics, it is necessary to select antibacterial and non-toxic materials; while for industrial non-woven fabrics, it may be necessary to select high temperature resistant and wear-resistant raw materials. Select appropriate raw materials based on demand characteristics, such as fiber raw materials (such as polypropylene, polyester, etc.), additives (such as antibacterial agents, stabilizers, softeners, etc.), fillers (such as natural plant fibers, inorganic fillers, etc.), select raw materials that meet the standards from raw material suppliers, and after determining the types of raw materials, formulate specific ratio plans to ensure the quality, stability and uniformity of the raw materials. After analysis, output the raw material preparation plan to determine the required raw material types and ratios.

[0045] Among them, the specific method of generating the raw material preparation plan is elaborated in detail in the subsequent steps, and the process of generating the fiber forming control plan, the mesh layer processing control plan, and the consolidation treatment control plan is similar to the raw material preparation plan. For the sake of simplicity of the specification, only a brief overview is given here without repeated explanation.

[0046] According to the fiber forming structure performance requirement feature set in the N requirement feature sets, the fiber forming process is controlled to ensure that the structure of the non-woven fiber meets the performance requirements. Specifically, according to the fiber characteristic requirements in the requirements, such as fiber fineness, strength, softness, etc., the fiber processing method is selected, such as fiber dissolution, wet forming, dry forming, etc., and the process parameters of fiber forming, such as temperature, pressure, speed, forming time, etc., are determined to ensure that the fiber morphology and arrangement meet expectations. For example, if a higher fiber density and strength are required, the pressing pressure may need to be increased; and if softness is emphasized, the forming temperature may need to be controlled. According to the structural characteristics in the requirements, the fiber arrangement, interlacing density, number of layers, etc. are adjusted to achieve the desired mesh structure. After analysis, the fiber forming control plan is output to determine the fiber forming method, parameter setting and structural adjustment method.

[0047] According to the mesh density and functional demand feature set in the N demand feature sets, the mesh formation process is controlled to ensure the uniform distribution of fibers and the correct stacking structure to meet the physical and functional requirements of the final product. Specifically, according to the application requirements of non-woven fabrics, such as water absorption, strength, softness, etc., select appropriate laying and arrangement methods, such as wet laying, dry laying, needle punching and other processes. According to the mesh density requirements in the requirements, adjust the laying amount and number of layers of fibers. For example, the medical field may require a more uniform and breathable mesh layer; while the industrial field may require a higher density mesh layer to enhance the filtration performance. According to the application requirements of the mesh layer, decide whether to perform thermal bonding, mechanical bonding or chemical bonding to ensure the bonding strength between the layers. After analysis, output the mesh processing control plan, including fiber arrangement method, mesh density control, bonding method and other operation methods.

[0048] According to the consolidation strength and physical property demand feature sets in the N demand feature sets, the fiber layer of the non-woven fabric is further stabilized to ensure that the final non-woven fabric product has the required physical properties, such as strength, durability, etc. Specifically, according to the physical property requirements such as strength and flexibility in the demand, a suitable consolidation method is selected, such as thermal consolidation, chemical consolidation, ultrasonic consolidation, etc. According to the selected consolidation method, the corresponding process parameters, such as temperature, pressure, time, etc., are adjusted. For example, the temperature and pressure need to be controlled during thermal consolidation to ensure that the melting and bonding effects between the fibers are optimal. After analysis, the consolidation processing control plan is output to ensure that the performance of the non-woven fabric meets the demand feature requirements through the consolidation process.

[0049] Furthermore, the method of analyzing and obtaining the raw material preparation plan according to the raw material performance and characteristic demand feature set in the N demand feature sets includes:

[0050] Calling a preset raw material preparation solution library; performing traversal matching in the preset raw material preparation solution library based on the raw material performance and characteristic requirement feature set, and determining the raw material preparation solution according to the traversal matching result.

[0051] Call the preset raw material preparation solution library, which is a database established based on past experience, technical documents and process specifications. Each raw material preparation solution includes a detailed formula, preparation process and performance description. It is connected to the solution library through an API or built-in algorithm interface, and a solution call request is initiated based on the required feature set. The returned result is a raw material preparation solution related to the demand, providing input data for subsequent matching.

[0052] Furthermore, based on the raw material performance and characteristic requirement feature set, traversing and matching are performed in the preset raw material preparation solution library, and the raw material preparation solution is determined according to the traversing and matching result. The method 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 on 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 a sample raw material preparation scheme corresponding to the maximum value of 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 a preset raw material preparation plan library according to the sample selection rules, and obtain a first sample raw material preparation plan. The first sample raw material preparation plan has a first sample raw material performance and characteristic requirement feature set.

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

[0056] All sample solutions in the solution library are loaded in sequence according to the sample selection rules, and the similarity calculation method is repeated for each sample solution to generate the corresponding similarity value and obtain the similarities of multiple demand characteristics. The similarities of multiple demand characteristics are compared to find the maximum similarity value, and the sample solution corresponding to the maximum similarity value is determined as the raw material preparation solution to guide the subsequent raw material preparation operations.

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

[0058] The set of demand characteristics for raw material performance and characteristics includes but is not limited to non-toxic demand characteristics, degradable demand characteristics, high temperature resistant demand characteristics, corrosion resistance demand characteristics, waterproof demand characteristics, and antibacterial demand characteristics. Among them, the non-toxic demand characteristic means that the raw material will not release chemicals harmful to the human body or the environment during processing and use, and is usually used in medical textiles and food packaging materials; the degradable demand characteristic means that the raw material can be decomposed into harmless substances by microorganisms in a natural environment or under specific conditions, and is usually used in environmentally friendly packaging materials and disposable sanitary products; the high temperature resistant demand characteristic means that the raw material can maintain physical properties and chemical stability under high temperature conditions, and is usually used in industrial filter materials and fireproof fabrics; the corrosion resistance demand characteristic means that the raw material can resist chemical reactions in acidic, alkaline or corrosive environments, and is usually used in chemical filter materials and protective clothing; the waterproof demand characteristic means that the surface or internal structure of the raw material can effectively prevent the penetration of liquid water, and is usually used in outdoor protective materials and building waterproof layers; the antibacterial demand characteristic means that the raw material can inhibit specific microorganisms (such as bacteria and fungi), and is usually used in medical textiles and personal care products.

[0059] Furthermore, the method further comprises:

[0060] During the non-woven fabric processing, anomaly detection is performed, and anomaly statistics are performed based on the anomaly detection results, and the abnormal data set is recorded; the commonality of abnormal positions and abnormal features of the abnormal data set is clustered to generate commonality clustering results; it is determined whether the commonality clustering results can be mapped to solutions, and if so, feedback control of the non-woven fabric processing technology is performed based on the mapping results.

[0061] Anomaly detection is performed during the non-woven fabric processing process. For example, processing parameters such as temperature, pressure, fiber tension, equipment vibration, etc. are collected in real time from non-woven fabric processing equipment and sensors. Based on preset parameter thresholds, abnormal points that deviate from the normal range or pattern are detected, and statistics are performed based on the type of abnormality, such as temperature abnormality, tension abnormality, etc., and the abnormal data set is recorded.

[0062] Extract abnormal features and corresponding positions from the abnormal data set to form an abnormal feature matrix. Use a commonality clustering algorithm, such as K-Means, to analyze the abnormal feature matrix to find the commonality of abnormal features and clustering results, and then cluster the results based on the commonality.

[0063] Check whether there are patterns that can be mapped to the preset solution library. For example, if the temperature in the consolidation zone is abnormal, it is mapped to the temperature control optimization solution; if the tension in the web-forming zone is abnormal, it is mapped to the equipment tension adjustment solution. If the mapping conditions are met, the next step of feedback control is entered, and the mapping results are used to optimize the solution. For example, for the feedback control solution corresponding to the temperature abnormality, the heating power of the consolidation equipment is lowered; for the feedback control solution corresponding to the tension abnormality, the tension control accuracy of the web-forming equipment is improved. Instructions are sent to the processing equipment through the processing management end to automatically adjust the process parameters, complete the feedback control of the non-woven fabric processing technology, and realize closed-loop control of non-woven fabric production.

[0064] In summary, the non-woven fabric processing technology control method provided in the embodiment of the present application has the following technical effects:

[0065] Multi-dimensional demand analysis based on application scenario information can ensure that the non-woven fabric processing process is highly consistent with the performance requirements of the final use, realize product customization, and meet the specific needs of different scenarios; decompose the complex processing process into four specific plans, including raw material preparation plan, fiber forming control plan, web layer processing control plan, and consolidation treatment control plan, so that each processing stage has clear operation instructions. Through the standardization of processing control plans, the applicability and replicability of the plans are improved, which is convenient for promotion in different production environments; select polymer materials, additives and fiber raw materials based on the demand feature set to ensure that the raw material performance matches the final product performance , improve the targeted selection of raw materials and reduce processing anomalies caused by raw material mismatch; obtain a fiber layer through fiberization treatment, obtain a uniform fiber web by arranging, laying and web-forming the fiber layer, and obtain a non-woven fabric product by hot pressing, chemical treatment or mechanical reinforcement of the uniform fiber web based on the consolidation treatment scheme, so that the non-woven fabric product meets the scene requirements; conduct comprehensive inspections on multiple performance indicators of the finished product to detect defects in a timely manner and ensure that the product meets the quality requirements; optimize the control schemes of raw material preparation, fiber forming, web layer processing, consolidation treatment and other links based on quality inspection results and defect analysis to achieve process adaption and intelligence.

[0066] Embodiment 2, based on the same inventive concept as the non-woven fabric processing control method in the above embodiment, Figure 2 As shown, the embodiment of the present application provides a non-woven fabric processing technology control system, the system comprising:

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

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

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

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

[0071] The raw material preparation plan is analyzed based on the raw material performance and characteristic demand feature sets in the N demand feature sets; the fiber forming control plan is analyzed based on the fiber forming structure performance demand feature sets in the N demand feature sets; the web layer processing control plan is analyzed based on the web layer density and functional demand feature sets in the N demand feature sets; the consolidation processing control plan is analyzed based on the consolidation strength and physical performance demand feature sets in the N demand feature sets.

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

[0073] Calling a preset raw material preparation solution library; performing traversal matching in the preset raw material preparation solution library based on the raw material performance and characteristic requirement feature set, and determining the raw material preparation solution according to the traversal matching result.

[0074] Furthermore, the control scheme acquisition module 20 further 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 on 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 a sample raw material preparation scheme corresponding to the maximum value of the multiple requirement feature similarities as the raw material preparation scheme.

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

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

[0078] During the non-woven fabric processing, anomaly detection is performed, and anomaly statistics are performed based on the anomaly detection results, and the abnormal data set is recorded; the commonality of abnormal positions and abnormal features of the abnormal data set is clustered to generate commonality clustering results; it is determined whether the commonality clustering results can be mapped to solutions, and if so, feedback control of the non-woven fabric processing technology is performed based on the mapping results.

[0079] Through the above-mentioned detailed description of a non-woven fabric processing technology control method in this specification, those skilled in the art can clearly understand a non-woven fabric processing technology control system in this embodiment. Since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part description.

[0080] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be 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 the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A non-woven fabric processing technology control method, characterized in that: The method comprises: Acquire application scenario information of non-woven fabrics, perform multi-dimensional demand analysis based on the application scenario information, and obtain multi-dimensional processing demand information of non-woven fabrics; Based on the multi-dimensional processing demand information of the non-woven fabric, determine the non-woven fabric processing control plan, wherein the non-woven fabric processing control plan includes a raw material preparation plan, a fiber forming control plan, a web layer processing control plan, and a consolidation treatment control plan; Based on the raw material preparation scheme, raw materials for non-woven fabrics are prepared to obtain raw material preparation results, wherein the raw material preparation results include polymer materials, additives and fiber raw materials; Performing fiberization processing on the raw material preparation result based on the fiber forming control scheme to obtain a fiberization processing result, wherein the fiberization processing result includes a plurality of fiber layers; Arranging, laying and web-forming the plurality of fiber layers based on the web layer processing control scheme to obtain a web layer processing result, wherein the web layer processing result includes a uniform fiber web; Performing consolidation treatment on the uniform fiber web based on the consolidation treatment control scheme to obtain a nonwoven fabric product; Performing a quality inspection on the non-woven fabric product to obtain a quality inspection result of the non-woven fabric product, wherein the quality inspection result of the non-woven fabric product includes a plurality of product defects; The non-woven fabric processing control scheme is optimized based on the multiple product defects, and the non-woven fabric processing process is controlled according to the scheme optimization result.

2. A nonwoven fabric processing technology control method as claimed in claim 1, characterized in that: The method of performing multi-dimensional demand analysis based on the application scenario information to obtain multi-dimensional processing demand information of non-woven fabrics includes: The interactive non-woven fabric processing management terminal obtains N non-woven fabric processing nodes and corresponding N processing performance indicator sets, where N is a positive integer; Based on the N processing performance indicator sets, the application scenario information is decomposed into demand characteristics to generate N demand characteristic sets; The N demand feature sets are integrated to obtain multi-dimensional processing demand information of the non-woven fabric.

3. A nonwoven fabric processing technology control method as claimed in claim 2, characterized in that: The method of determining a non-woven fabric processing control scheme based on the multi-dimensional processing demand information of the non-woven fabric comprises: Analyze and obtain the raw material preparation plan according to the raw material performance and characteristic demand feature sets in the N demand feature sets; Analyze and obtain the fiber forming control scheme according to the fiber forming structure performance requirement feature set in the N requirement feature sets; Analyze and obtain the web layer processing control scheme according to the web layer density and the functional demand feature set in the N demand feature sets; The consolidation treatment control scheme is analyzed and obtained according to the consolidation strength and physical property demand feature sets in the N demand feature sets.

4. A nonwoven fabric processing technology control method as claimed in claim 3, characterized in that: The method of analyzing and obtaining the raw material preparation plan according to the raw material performance and characteristic demand feature set in the N demand feature sets includes: Call the preset raw material preparation solution library; Based on the raw material performance and characteristic requirement feature set, traversal matching is performed in the preset raw material preparation solution library, and the raw material preparation solution is determined according to the traversal matching result.

5. A nonwoven fabric processing technology control method as claimed in claim 4, characterized in that: Based on the raw material performance and characteristic requirement feature set, traversing and matching are performed in the preset raw material preparation solution library, and the raw material preparation solution is determined according to the traversing and matching result. The method includes: Extracting 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; Performing a similarity comparison analysis on 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; By analogy, the preset raw material preparation solution library is traversed to obtain multiple demand feature similarities; A sample raw material preparation plan corresponding to the maximum value among the multiple demand feature similarities is obtained as the raw material preparation plan.

6. A nonwoven fabric processing technology control method as claimed in claim 3, characterized in that: The set of raw material performance and characteristic requirements includes but is not limited to non-toxic requirements, biodegradable requirements, high temperature resistance requirements, corrosion resistance requirements, waterproof requirements, and antibacterial requirements.

7. A nonwoven fabric processing technology control method as claimed in claim 1, characterized in that: The method further comprises: During the non-woven fabric processing, perform anomaly detection, perform anomaly statistics based on the anomaly detection results, and record the abnormal data set; Performing common clustering of abnormal locations and abnormal features on the abnormal data set to generate common clustering results; It is determined whether the commonality clustering results can be used for solution mapping. If so, feedback control of the non-woven fabric processing technology is performed based on the mapping results.

8. A non-woven fabric processing technology control system, characterized in that: Used to implement a nonwoven fabric processing control method according to any one of claims 1 to 7, the system comprises: A multi-dimensional demand analysis module is used to obtain application scenario information of non-woven fabrics, perform multi-dimensional demand analysis based on the application scenario information, and obtain multi-dimensional processing demand information of non-woven fabrics; A control scheme acquisition module, used to determine a non-woven fabric processing control scheme based on the multi-dimensional processing demand information of the non-woven fabric, wherein the non-woven 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; A raw material preparation module, used for preparing raw materials for non-woven fabrics based on the raw material preparation scheme, and obtaining raw material preparation results, wherein the raw material preparation results include polymer materials, additives and fiber raw materials; A fiberization processing module, configured to perform fiberization processing on the raw material preparation result based on the fiber forming control scheme to obtain a fiberization processing result, wherein the fiberization processing result includes a plurality of fiber layers; A web processing module, used for arranging, laying and web-forming the plurality of fiber layers based on the web layer processing control scheme to obtain a web layer processing result, wherein the web layer processing result includes a uniform fiber web; A consolidation processing module, used for consolidating the uniform fiber web based on the consolidation processing control scheme to obtain a non-woven fabric product; A quality inspection module, used for performing quality inspection on the non-woven fabric product to obtain a quality inspection result of the non-woven fabric product, wherein the quality inspection result of the non-woven fabric product includes a plurality of product defects; The process control module is used to optimize the non-woven fabric processing control solution based on the multiple product defects, and to control the non-woven fabric processing process according to the solution optimization result.

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