Garment product full life cycle information management method and system

Abstract

The invention relates to the technical field of Internet of Things and information, and particularly provides a garment product full life cycle information management method and system, and the method comprises the steps: enabling an RFID tag stored with garment identity identification information to be embedded into a washing water label of a garment; in the RFID tag and a cloud database associated with the RFID tag, continuously inputting information data covering garment raw material traceability, production processing and logistics sales; a consumer reads the RFID tag through a terminal device with a near field communication function and accesses traceability and use information related to the clothes; and the recycling mechanism classifies the waste clothes on the basis of the fabric component information obtained from the RFID tag. The RFID label is embedded into the washing water label and is associated with a cloud database, and a tamper-resistant full-life-cycle data chain from raw materials, production, circulation to sales is established for each piece of clothes. The reputation of the brand in the aspect of sustainability is enhanced, and the ever-increasing expectation of consumers on the transparency of the product is also met.

Description

Technical Field

[0001] The present invention relates to the fields of Internet of Things and information technology, and specifically provides a method and system for managing the full life cycle information of clothing products. Background Art

[0002] Currently, the clothing industry is actively transforming from a linear economic model to a circular economic model, aiming to reduce resource consumption and environmental pollution. In the existing technology, RFID (Radio Frequency Identification) technology has been widely used in the supply chain management, warehousing logistics, and store retail links of the clothing industry to achieve rapid inventory counting, inventory management, and anti-counterfeiting traceability of goods. For example, some brands have significantly improved the efficiency of warehousing in and out and store inventory counting by implanting RFID tags in clothing. At the same time, the industry has also put forward the concept of "product digital passport", hoping to record the full life cycle information of products from design to recycling through digital tools to improve the transparency of the supply chain.

[0003] However, currently common RFID applications mostly focus on the commercial circulation links (such as warehousing, stores), and the information chain is interrupted after the goods are sold, unable to effectively extend to the consumer use stage and the crucial recycling stage. Secondly, in the recycling link, the components of waste textiles are complex, and the sorting work highly depends on manual labor, with low efficiency and easy to make mistakes. Especially for blended products such as polyester-cotton, it is difficult to separate, resulting in a large amount of resources being wasted, and a closed-loop information ecosystem connecting brands, consumers, and the recycling industry has not been constructed, making it difficult to support the clothing industry to truly achieve efficient and precise recycling. Summary of the Invention

[0004] In order to solve the technical problems existing in the prior art that currently common RFID applications mostly focus on the commercial circulation links (such as warehousing, stores), and the information chain is interrupted after the goods are sold, unable to effectively extend to the consumer use stage and the crucial recycling stage. Secondly, in the recycling link, the components of waste textiles are complex, and the sorting work highly depends on manual labor, with low efficiency and easy to make mistakes. Especially for blended products such as polyester-cotton, it is difficult to separate, resulting in a large amount of resources being wasted. The present invention provides a method and system for managing the full life cycle information of clothing products.

[0005] In order to solve the above technical problems, the first aspect of the present invention discloses a method for managing the full life cycle information of clothing products, and the method includes the following steps: Information identification step: embedding an RFID tag storing clothing identity identification information into the wash label of the clothing; Information continuous input step: continuously inputting information data covering the traceability of clothing raw materials, production and processing, and logistics sales into the RFID tag and the associated cloud database; Information consumption steps: Consumers read the RFID tag through a terminal device with near-field communication capabilities and access traceability and usage information related to the clothing; Recycling and sorting steps: The recycling organization sorts and processes the waste clothing based on the fabric composition information obtained from the RFID tags.

[0006] As an optional implementation, in the first aspect of the invention, in the information identification step, the RFID tag is an ultra-high frequency passive tag, which is encapsulated with flexible material to ensure its resistance to physical and chemical effects throughout the entire life cycle of the garment.

[0007] As an optional implementation, in the first aspect of the present invention, the continuous information input step specifically includes: During the production stage, raw material traceability information, production process parameters, and quality inspection results are written into tags and synchronized to the cloud. During the distribution phase, reading and writing devices deployed at key nodes record the movement information of the clothing and update it to the cloud; The cloud database employs distributed ledger technology to construct an immutable data chain. As an optional implementation, in the first aspect of the invention, during the information consumption step, after the consumer reads the tag, the terminal device accesses the cloud database and displays detailed information, while simultaneously recording the interaction.

[0008] As an optional implementation, in the first aspect of the present invention, the recycling and sorting step specifically includes: The recycling plant uses specialized equipment to read the fabric data from the tags; The physical characteristics of the clothing are obtained by scanning the actual garment using an image recognition module. An identification algorithm is used to compare and analyze RFID data and image data to generate classification decision suggestions.

[0009] As an optional implementation, in the first aspect of the present invention, if the label information cannot be read normally, a backup identification mechanism is activated: the reading parameters are optimized; image recognition is activated to extract fabric text information and physical features; and an alternative classification scheme is generated after comprehensive evaluation.

[0010] As an optional implementation, in the first aspect of the present invention, the method further includes a data analysis step: mining and analyzing the full lifecycle data to provide decision support for brand owners, recycling companies and government departments.

[0011] As an optional implementation, in the first aspect of the present invention, the step of mining and analyzing full lifecycle data to provide decision support for brand owners, recycling companies, and government departments includes: We conduct correlation analysis and in-depth mining of multidimensional data generated throughout the entire life cycle of clothing, including raw material attributes, production data, sales distribution, consumer interaction behavior, actual usage cycle, and final recycling and classification results. The analytical findings are used to provide brands with suggestions on product design improvement, supply chain optimization, and recycling channel management. Provide recycling companies with garment recycling value assessments and future trend analyses based on materials and the market; Provide relevant industry management agencies or government regulatory departments with overall operational data reports, environmental benefit assessments, and quantitative analysis of policy effects for the regional textile recycling system.

[0012] A second aspect of this invention discloses a clothing full lifecycle information management system, the system comprising: The tag integration and information initialization module is used to embed RFID tags into the product and complete the initial information entry. The data storage and management module is used to store and manage data throughout the entire lifecycle of clothing. The user interaction module provides clothing information query services through user terminal devices; The recycling and sorting module is used to identify the composition of clothing fabrics and perform sorting operations; The data analysis and service module is used to analyze and process data and generate value-added service information.

[0013] As an optional implementation, in the second aspect of the invention, in the information identification step, the RFID tag is an ultra-high frequency passive tag, which is encapsulated with flexible material to ensure its resistance to physical and chemical effects throughout the entire life cycle of the garment.

[0014] As an optional implementation, in the second aspect of the present invention, the continuous information input step specifically includes: During the production stage, raw material traceability information, production process parameters, and quality inspection results are written into tags and synchronized to the cloud. During the distribution phase, reading and writing devices deployed at key nodes record the movement information of the clothing and update it to the cloud; The cloud database employs distributed ledger technology to construct an immutable data chain. As an optional implementation, in the second aspect of the invention, during the information consumption step, after the consumer reads the tag, the terminal device accesses the cloud database and displays detailed information, while simultaneously recording the interaction.

[0015] As an optional implementation, in a second aspect of the invention, the recycling and sorting step specifically includes: The recycling plant uses specialized equipment to read the fabric data from the tags; The physical characteristics of the clothing are obtained by scanning the actual garment using an image recognition module. An identification algorithm is used to compare and analyze RFID data and image data to generate classification decision suggestions.

[0016] A third aspect of this invention discloses another clothing full life cycle information management system, the system comprising: a memory storing executable program code; A processor coupled to the memory; The processor calls the executable program code stored in the memory to execute some or all of the steps in the clothing product lifecycle information management method disclosed in the first aspect of the present invention.

[0017] The fourth aspect of the present invention discloses a computer storage medium storing computer instructions, which, when invoked, are used to execute some or all of the steps in the clothing product lifecycle information management method disclosed in the first aspect of the present invention.

[0018] Beneficial effects Compared with the prior art, the embodiments of the present invention have the following beneficial effects: 1. By embedding RFID tags into care labels and linking them to a cloud database (which can be built into a product digital passport, DPP), an immutable, end-to-end data chain is established for each garment, encompassing raw materials, production, distribution, and sales. This enhances the brand's credibility in sustainability and meets consumers' growing expectations for product transparency.

[0019] 2. Consumers can simply tap their phones with their NFC function to access information about the clothing, including the story of the raw materials, the production process, and environmental certifications. This convenient interactive method transforms sustainability into a tangible and easily understood experience, enhancing brand trust and user engagement.

[0020] 3. Recycling plants use specialized equipment to quickly read the fabric composition data pre-stored in RFID tags and compare and verify it using image recognition and other technologies, achieving automated and accurate sorting. This solves the problems of low efficiency, large errors, and high costs caused by traditional recycling relying on manual sorting, laying a solid foundation for subsequent high-value recycling.

[0021] 4. The core innovation of this solution lies in going beyond a single anti-counterfeiting and traceability function, constructing a closed-loop information ecosystem connecting brands, consumers, and the recycling industry. Data flows throughout the entire chain, allowing brands to optimize product design and supply chains, recycling plants to obtain accurate classification data, and government regulatory departments to acquire reliable data to support policy formulation.

[0022] 5. The system's accumulated multi-dimensional data across the entire product lifecycle (such as consumer preferences, product usage cycles, and recycling classification results) is a valuable asset. Analyzing this data can provide brand owners with suggestions for product improvement and supply chain optimization, and help recycling companies assess the value of materials.

[0023] 6. Utilizing ultra-high frequency passive RFID tags, the tags are low-cost, require no built-in batteries, and have a long lifespan. Embedding them in care labels and encapsulating them with flexible materials ensures the tags' durability and readability throughout the garment's entire lifecycle (including multiple washes). Combined with a cloud database, this achieves highly reliable information storage and interaction with low-cost investment. Attached Figure Description

[0024] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the accompanying drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on the structures shown in these drawings without creative effort.

[0025] Figure 1 This is a flowchart illustrating a method for managing the entire lifecycle information of clothing products according to an embodiment of the present invention; Figure 2 This is a schematic diagram of the structure of a clothing product lifecycle information management system disclosed in an embodiment of the present invention; Figure 3 This is a schematic diagram of another clothing product lifecycle information management system disclosed in an embodiment of the present invention. Detailed Implementation

[0026] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present invention.

[0027] It should be noted that if the embodiments of the present invention involve directional indicators (such as up, down, left, right, front, back, etc.), the directional indicators are only used to explain the relative positional relationship and movement of the components in a specific posture. If the specific posture changes, the directional indicators will also change accordingly.

[0028] Furthermore, if the embodiments of this invention involve descriptions such as "first" or "second," these descriptions are for descriptive purposes only and should not be construed as indicating or implying their relative importance or implicitly specifying the number of technical features indicated. Thus, features defined with "first" or "second" may explicitly or implicitly include at least one of those features. Additionally, the use of "and / or" or "and / or" throughout the text implies three parallel solutions. For example, "A and / or B" includes solution A, solution B, or a solution where both A and B are satisfied. Furthermore, the technical solutions of the various embodiments can be combined, but this must be based on the ability of those skilled in the art to implement them. When the combination of technical solutions is contradictory or impossible to implement, it should be considered that such a combination of technical solutions does not exist and is not within the scope of protection claimed by this invention.

[0029] This invention discloses a method and system for managing the entire lifecycle information of apparel products. By embedding RFID tags into care labels and linking them to a cloud database (which can be constructed as a product digital passport, DPP), an immutable full lifecycle data chain is established for each garment, from raw materials, production, distribution to sales. This enhances the brand's credibility in terms of sustainability and meets consumers' growing expectations for product transparency. Detailed explanations follow. Example 1 Please see Figure 1 , Figure 1 This is a flowchart illustrating a method for managing the entire lifecycle information of clothing products, as disclosed in an embodiment of the present invention. Figure 1 The described method for managing the entire lifecycle information of apparel products can be applied to data processing systems / data processing equipment / data processing servers (wherein, the server includes local processing servers or cloud processing servers). For example... Figure 1 As shown, this method for managing the entire lifecycle information of apparel products may include the following operations: 101. Embed RFID tags containing clothing identification information into the garment's care label.

[0030] In this embodiment of the invention, by embedding RFID tags into care labels and linking them to a cloud database, data covering the entire supply chain from raw materials, production, sales to recycling is covered, solving the problems of information fragmentation and traceability difficulties in the traditional apparel industry. Consumers and recycling organizations can access reliable data at any time, improving supply chain transparency.

[0031] 102. Continuously record information data covering the traceability of clothing raw materials, production and processing, logistics and sales in the RFID tag and the cloud database associated with it.

[0032] In this embodiment of the invention, brands, consumers, and the recycling industry are connected, enabling seamless data flow across different stages and providing infrastructure for the circular economy. For example, brands can optimize product design based on recycling data, and recycling plants can accurately sort waste, reducing resource waste.

[0033] 103. Consumers can read the RFID tag through a terminal device with near-field communication capabilities and access traceability and usage information related to the clothing.

[0034] In this embodiment of the invention, instead of traditional manual recording or local information systems, automated data collection and processing are used to reduce labor costs and avoid information errors or loss, making it particularly suitable for large-scale clothing management scenarios.

[0035] 104. The recycling organization sorts and processes the waste clothing based on the fabric composition information obtained from the RFID tags.

[0036] In this embodiment of the invention, the dedicated reader at the recycling plant can read pre-stored fabric data (such as cotton, polyester, and blend ratio) from clothing RFID tags in a non-contact, batch manner. This avoids the tedious process of manually checking care labels one by one, resulting in a significant leap in sorting speed. For example, some technical solutions mention that a RAIN RFID reader can capture data from up to 1,000 tagged items per second. Furthermore, the accuracy of information obtained directly from the tags is far higher than that of manual judgment or potential errors in external tags, providing a reliable data foundation for subsequent high-value recycling.

[0037] As can be seen, based on accurate RFID data, the system can automatically assign garments to the corresponding processing lines. This not only significantly reduces manual labor input but also makes the recycling process more standardized and efficient, making large-scale processing of waste textiles possible.

[0038] As an optional embodiment, in the above-described information identification step, the RFID tag is an ultra-high frequency passive tag, which is encapsulated with flexible materials to ensure its resistance to physical and chemical effects throughout the entire life cycle of the garment.

[0039] In this embodiment of the invention, an ultra-high frequency (UHF) passive RFID tag encapsulated in a flexible material is embedded in the garment's care label. This step forms the physical foundation of the entire information management system. Its core benefits include ensuring the durability of garment identification throughout its entire lifecycle, efficient data collection, and broad applicability across various scenarios. The flexible encapsulation material (such as polyimide (PI) or thermoplastic polyurethane (TPU)) allows the tag to withstand repeated industrial washing, daily wear and tear, and the physical and chemical challenges of recycling (such as friction, sweat, and detergents), ensuring structural integrity and functional stability. The characteristics of UHF technology enable batch, rapid reading over distances of several meters. This significantly improves efficiency in production line unloading, warehouse inventory management, and recycling sorting, eliminating the need for close-range, individual scanning. The passive design means that the tag does not require a built-in battery and is powered by the radio frequency energy emitted by the reader. It has the advantages of long life, low cost and maintenance-free operation. The flexible material allows the tag to be bent and folded, and can be flatly embedded in the care label without protrusion or stiffness, avoiding skin irritation and maintaining the original comfort and aesthetics of the garment to the greatest extent. The UHF passive tag has a low unit cost when used on a large scale, and the flexible packaging technology is also relatively mature. This makes it commercially feasible and valuable to give each garment a unique digital identity and manage it throughout its entire life cycle.

[0040] As an optional embodiment, in the above-mentioned information continuous input step, during the production stage, raw material traceability information, production process parameters and quality inspection results are written into tags and synchronized to the cloud; During the distribution phase, reading and writing devices deployed at key nodes record the movement information of the clothing and update it to the cloud; The cloud database uses distributed ledger technology to build an immutable data chain.

[0041] In this embodiment of the invention, the most crucial effect of this step is ensuring the authenticity and immutability of all information from production to distribution. Traditional recording methods may exist in the independent systems of various participants or even on paper documents, which are prone to loss, tampering, or the formation of "information silos." However, based on distributed ledger technology (such as blockchain), every piece of information entered, from the origin certificate of raw materials and production process parameters to logistics transit records, is encrypted and formed into a data block, linked together in chronological order. Once recorded, no single institution can arbitrarily modify it, greatly enhancing the credibility of the data. Through this data chain, the flow of raw materials and finished products can be tracked in real time, production progress and inventory status can be accurately grasped, thereby enabling more efficient production planning, optimization of logistics routes, and reduction of unnecessary warehousing costs and delays. If product quality problems occur, the production batch, production line number, and other information recorded on the chain can be used to quickly and accurately locate the problem link, achieve efficient recall and rectification, and minimize losses and brand risks.

[0042] Furthermore, when consumers can scan labels and witness the entire credible story of a garment from cotton cultivation to the final product, this unprecedented transparency greatly enhances their trust in a brand's commitment to integrity, environmental responsibility, and quality. This is particularly appealing to young consumers who value sustainable consumption, as the most crucial information for recycling organizations when clothing reaches the end of its lifespan and enters the recycling stage is its fabric composition. By reading labels or querying on-chain data, accurate fabric composition (such as the proportion of pure cotton and polyester blends) can be obtained instantly, enabling rapid and precise automated sorting, significantly improving recycling efficiency and the quality of recycled materials.

[0043] As an optional embodiment, in the information consumption step, after the consumer reads the tag, the terminal device accesses the cloud database and displays detailed information, while recording the interaction.

[0044] In this embodiment of the invention, after consumers use their mobile phones to read the tags, they can intuitively see complete information about the clothing from raw materials and production to logistics. This greatly enhances brand credibility. Consumers are no longer passively receiving information, but can actively query and verify the "past and present" of the product, such as whether the raw materials are as environmentally friendly as advertised and whether the production process is compliant. Utilizing the built-in NFC function of the mobile phone, there is no need to download additional applications, achieving a convenient "tap to check" experience, significantly lowering the user threshold and encouraging more consumers to participate in traceability. The system records every query behavior (such as time, location, and query content). Combining this data with clothing information, the preferences and behavioral patterns of different consumer groups can be analyzed. For example, it can be analyzed which region and age group has the highest attention to a certain design. Based on this real user interaction data, brands can more accurately optimize product design, adjust marketing strategies, and even plan inventory. For example, if the data shows that a certain shirt is frequently queried but has a low purchase rate, it may indicate a pricing or sizing issue, thus guiding the company to respond quickly.

[0045] As an optional embodiment, in the recycling and sorting step, the recycling plant uses specialized equipment to read the fabric data from the tags; The physical characteristics of the clothing are obtained by scanning the actual garment using an image recognition module. An identification algorithm is used to compare and analyze RFID data and image data to generate classification decision suggestions.

[0046] In this embodiment of the invention, a dedicated device reads the pre-stored fabric composition data (e.g., "85% cotton, 15% polyester") from the RFID tags embedded in the clothing. This provides an accurate, objective, and tamper-proof basis for classification. This avoids subjective errors caused by manual judgment and information loss due to wear or detachment of clothing tags. The image recognition module scans the actual clothing to obtain its physical characteristics such as texture, color, and pattern. This information can be cross-validated with the RFID data. For example, if the system reads the RFID information as "silk," but the image recognition detects a rough texture, an alarm will be triggered for verification to prevent misjudgment. Simultaneously, image recognition can also capture details not stored in the RFID, such as the style and color of the clothing, supporting more refined classification (e.g., sorting white cotton and colored cotton by color). After comparing and analyzing these two types of data, the recognition algorithm can automatically generate classification decision suggestions (e.g., "classify to the cotton recycling line"). This not only frees sorting workers from tedious judgment work, enabling 24 / 7 automated operation, but more importantly, precise classification ensures that garments of similar materials are grouped together, greatly improving the purity and quality of subsequent recycled materials and laying a solid foundation for high-value recycling. In the recycling environment, some garment RFID tags may become unreadable due to physical damage, strong electromagnetic interference, or the end of their life cycle. In this case, the system will not stop but can activate a backup plan based on image recognition. By scanning the garment's care label and using Optical Character Recognition (OCR) technology to extract the composition text, or by directly analyzing the fabric texture characteristics, effective classification can still be performed, ensuring the continuous and stable operation of the entire recycling line. RFID and image recognition technologies each have their advantages and disadvantages; combining them complements each other. RFID is less affected by the environment but has limited positioning accuracy; image recognition has high accuracy but is easily affected by light and obstructions. When one technology's signal is poor, the other technology can serve as an effective supplement, forming double insurance and significantly reducing the risk of the entire system failing due to a single technology malfunction.

[0047] As we can see, every sorting operation and its results are recorded, forming valuable recycling big data. This data can be fed back to brands, helping them understand the true condition of their products at the end of their life cycle, thereby improving designs and producing more recyclable clothing (such as reducing the use of blended fabrics and using easily detachable accessories), realizing the concept of "designed for recycling".

[0048] As an optional embodiment, if the label information cannot be read normally, a backup recognition mechanism is activated: optimize the reading parameters; activate image recognition to extract fabric text information and physical features; and generate an alternative classification scheme after comprehensive evaluation.

[0049] In this embodiment of the invention, in complex real-world recycling environments, RFID tags may fail due to physical damage, signal interference, or the end of their lifespan. Your backup mechanism ensures the continuity of the sorting process through multi-level responses. The system first automatically detects and attempts to adjust parameters such as the reader's power and frequency. This is equivalent to giving the system a "preliminary self-healing" capability, which can eliminate some temporary reading obstacles caused by environmental changes. When parameter optimization still fails, the system immediately activates the high-resolution image recognition module. This smooth, automated switching mechanism avoids the entire sorting line from being halted or relying on inefficient manual intervention due to a single technical failure, ensuring the efficiency and throughput of recycling operations. The backup mechanism does not simply replace RFID with image recognition, but strives to arrive at the most reliable conclusion through multi-source information fusion. The image recognition module can scan the garment and perform two key tasks: first, it attempts to read the composition text in the physical care label on the garment using optical character recognition (OCR) technology; second, it analyzes the physical characteristics of the garment, such as texture, color, and pattern. This is equivalent to equipping the system with "eyes," allowing it to obtain intuitive evidence. The system will then compare and comprehensively evaluate the information extracted from the images with any remaining RFID data fragments and the historical database of the brand and model of clothing. This data fusion-based decision-making improves the accuracy of classification recommendations in abnormal situations and reduces the risk of misjudgment compared to a single source of information.

[0050] As an optional embodiment, the process of mining and analyzing data across the entire lifecycle to provide decision support for brand owners, recycling companies, and government departments includes: We conduct correlation analysis and in-depth mining of multidimensional data generated throughout the entire life cycle of clothing, including raw material attributes, production data, sales distribution, consumer interaction behavior, actual usage cycle, and final recycling and classification results. The analytical findings are used to provide brands with suggestions on product design improvement, supply chain optimization, and recycling channel management. Provide recycling companies with garment recycling value assessments and future trend analyses based on materials and the market; Provide relevant industry management agencies or government regulatory departments with overall operational data reports, environmental benefit assessments, and quantitative analysis of policy effects for the regional textile recycling system.

[0051] In this embodiment of the invention, by analyzing data such as consumer query behavior and product usage cycles, market trends and product shortcomings can be accurately identified. For example, a brand may find that consumers frequently query "care instructions" for its products made with a certain environmentally friendly fabric, and that the actual usage cycle is relatively long. This insight can be directly fed back to the design department, increasing the application of this fabric in future products to achieve "design for sustainability." Simultaneously, the combination of sales distribution and recycling classification data can help brands optimize inventory and logistics routes, reducing unsold stock and shortages. Data analysis can provide market-based value assessments. The system can integrate historical recycling data, real-time market prices, and fabric composition information to predict the recycling value and market demand trends of different categories of waste clothing. This can guide recycling companies to allocate resources more economically, prioritize the processing of high-value materials, and plan optimal recycling paths, thereby improving operational efficiency. The aggregated data from the entire industry chain provides an unprecedentedly reliable basis for the scientific formulation and evaluation of policies. It can quantify and evaluate key indicators such as regional textile recycling rates and carbon emission reduction effectiveness, making policy formulation more precise and effect evaluation more objective.

[0052] Furthermore, the deep application of data analytics can drive the evolution of business processes from automation to intelligence, achieving a significant increase in efficiency. Drawing on mature practices from other industries, the system can build predictive models based on historical sales and real-time sales data, automatically generating replenishment suggestions and even triggering orders, thus elevating inventory turnover efficiency to new heights. Continuous analysis of recycling and sorting results can continuously optimize the accuracy and efficiency of sorting algorithms. For example, if data shows a high misclassification rate for a certain type of blended fabric in primary sorting, the parameters of the image recognition model can be adjusted accordingly, forming a self-improving virtuous cycle. Through data sharing, information barriers between brand owners, recyclers, and the government are broken down, building a collaborative and win-win industrial ecosystem. Brand owners share product design information (such as easy-to-disassemble designs) with recycling companies, and recycling companies provide feedback on the quality and cost data of recycled materials to brand owners. This two-way data flow can greatly improve the overall efficiency of the closed-loop industrial chain.

[0053] Example 2 Please see Figure 2 , Figure 2 This is a schematic diagram of the structure of a clothing product lifecycle information management system disclosed in an embodiment of the present invention. Figure 2 The described apparel product lifecycle information management system can be applied to data processing systems / data processing equipment / data processing servers (wherein, the server includes local processing servers or cloud processing servers). For example... Figure 2 As shown, the apparel product lifecycle information management system may include: The tag integration and information initialization module is used to embed RFID tags into the product and complete the initial information entry. Data storage and management module 201 is used to store and manage data throughout the entire lifecycle of clothing; User interaction module 202 provides clothing information query service through user terminal device; The recycling and sorting module 203 is used to identify the composition of clothing fabrics and perform sorting operations. The data analysis and service module 204 is used to analyze and process data and generate value-added service information.

[0054] In this embodiment of the invention, by embedding RFID tags into care labels and linking them to a cloud database, data from the entire supply chain—from raw materials, production, and sales to recycling—is covered, solving the problems of information fragmentation and traceability difficulties in the traditional apparel industry. Consumers and recycling organizations can access reliable data at any time, improving supply chain transparency and connecting brands, consumers, and the recycling industry. Data flows seamlessly across different stages, providing infrastructure for the circular economy. For example, brands can optimize product design based on recycling data, and recycling plants can accurately classify items, reducing resource waste and replacing traditional manual recording or partial information systems. Through automated data collection and processing, labor costs are reduced, and information errors or loss are avoided. This is particularly suitable for large-scale apparel management scenarios. Dedicated readers in recycling plants can read pre-stored fabric data (such as cotton, polyester, and blend ratios) from apparel RFID tags in batches without contact. This avoids the tedious process of manually checking care labels one by one, resulting in a significant leap in sorting speed. For example, some technical solutions mention that RAIN RFID readers can capture data from up to 1,000 tagged items per second. Meanwhile, the accuracy of information obtained directly from the labels is much higher than that of human judgment or the errors that may exist in external labels, providing a reliable data foundation for subsequent high-value regeneration.

[0055] As can be seen, based on accurate RFID data, the system can automatically assign garments to the corresponding processing lines. This not only significantly reduces manual labor input but also makes the recycling process more standardized and efficient, making large-scale processing of waste textiles possible.

[0056] Example 3 Please see Figure 3 , Figure 3 This is another clothing product full life cycle information management system disclosed in the embodiments of the present invention. Figure 3 The described apparel product lifecycle information management system / data processing equipment / data processing server (wherein, the server includes a local processing server or a cloud processing server). For example... Figure 3 As shown, the apparel product lifecycle information management system may include: Memory 301 storing executable program code; Processor 302 coupled to memory 301; The processor 302 calls the executable program code stored in the memory 301 to execute the steps of the printhead management method based on historical data analysis described in Embodiment 1.

[0057] Example 4 This invention discloses a computer read storage medium that stores a computer program for electronic data interchange, wherein the computer program causes a computer to execute the steps of the clothing product lifecycle information management method described in Embodiment 1.

[0058] Example 5 This invention discloses a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to cause a computer to perform the steps of the clothing product lifecycle information management method of Embodiment 1.

[0059] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (devices), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0060] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0061] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0062] Specific embodiments have been used to illustrate the principles and implementation methods of this invention. The descriptions of the embodiments above are only for the purpose of helping to understand the method and core ideas of this invention. At the same time, for those skilled in the art, there will be changes in the specific implementation methods and application scope based on the ideas of this invention. Therefore, the content of this specification should not be construed as a limitation of this invention.

Claims

1. A method for managing information throughout the entire lifecycle of apparel products, characterized in that, The method includes the following steps: Information identification steps: Embed RFID tags containing clothing identification information into the garment's care label; Continuous information entry steps: Continuously enter information data covering the traceability of clothing raw materials, production and processing, logistics and sales into the RFID tag and the associated cloud database; Information consumption steps: Consumers read the RFID tag through a terminal device with near-field communication capabilities and access traceability and usage information related to the clothing; Recycling and sorting steps: The recycling organization sorts and processes the waste clothing based on the fabric composition information obtained from the RFID tags.

2. The method for managing the entire lifecycle information of apparel products according to claim 1, characterized in that, In the information identification step, the RFID tag is an ultra-high frequency passive tag, which is encapsulated with flexible materials to ensure that it can withstand the physical and chemical effects throughout the entire life cycle of the clothing.

3. The method for managing the entire lifecycle information of apparel products according to claim 1, characterized in that, The continuous information entry steps specifically include: During the production stage, raw material traceability information, production process parameters, and quality inspection results are written into tags and synchronized to the cloud. During the distribution phase, reading and writing devices deployed at key nodes record the movement information of the clothing and update it to the cloud; The cloud database uses distributed ledger technology to build an immutable data chain.

4. The method for managing the entire lifecycle information of apparel products according to claim 1, characterized in that, In the information consumption step, after the consumer reads the tag, the terminal device accesses the cloud database and displays detailed information, while recording the interaction.

5. The method for managing the entire lifecycle information of apparel products according to claim 1, characterized in that, The recycling and sorting steps specifically include: The recycling plant uses specialized equipment to read the fabric data from the tags; The physical characteristics of the clothing are obtained by scanning the actual garment using an image recognition module. An identification algorithm is used to compare and analyze RFID data and image data to generate classification decision suggestions.

6. The method for managing the entire lifecycle information of apparel products according to claim 5, characterized in that, If the label information cannot be read normally, the backup recognition mechanism will be activated: optimize the reading parameters; activate image recognition to extract fabric text information and physical features; An alternative classification scheme is generated after comprehensive evaluation.

7. The method for managing the entire lifecycle information of apparel products according to claim 1, characterized in that, The method also includes a data analysis step: mining and analyzing data throughout the entire lifecycle to provide decision support for brand owners, recycling companies, and government departments.

8. The method for managing the entire lifecycle information of apparel products according to claim 7, characterized in that, The aforementioned data mining and analysis across the entire lifecycle to provide decision support for brand owners, recycling companies, and government departments includes: We conduct correlation analysis and in-depth mining of multidimensional data generated throughout the entire life cycle of clothing, including raw material attributes, production data, sales distribution, consumer interaction behavior, actual usage cycle, and final recycling and classification results. The analytical findings are used to provide brands with suggestions on product design improvement, supply chain optimization, and recycling channel management. Provide recycling companies with garment recycling value assessments and future trend analyses based on materials and the market; Provide relevant industry management agencies or government regulatory departments with overall operational data reports, environmental benefit assessments, and quantitative analysis of policy effects for the regional textile recycling system.

9. A clothing full lifecycle information management system, characterized in that, The system includes: The tag integration and information initialization module is used to embed RFID tags into the product and complete the initial information entry. The data storage and management module is used to store and manage data throughout the entire lifecycle of clothing. The user interaction module provides clothing information query services through user terminal devices; The recycling and sorting module is used to identify the composition of clothing fabrics and perform sorting operations; The data analysis and service module is used to analyze and process data and generate value-added service information.

10. A clothing full lifecycle information management system, characterized in that, The system includes: a memory storing executable program code; A processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the apparel product lifecycle information management method as described in any one of claims 1-7.

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