Blockchain-based management system and method for tracing of knitted fabric materials

By using blockchain technology to obtain production, storage, and logistics data of velvet flower materials and conducting comprehensive impact analysis, the problems of data tampering and inaccurate assessment of transportation losses have been solved, thus achieving data security and reducing transportation losses.

CN121073331BActive Publication Date: 2026-02-13HUNAN VOCATIONAL COLLEGE OF SCI & TECH
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Patent Information

Application Number
CN202511606435.5
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-11-05
Publication Date
2026-02-13
Estimated Expiration
2045-11-05

AI Technical Summary

Technical Problem

In traditional velvet flower material management systems, data is easily tampered with, making it difficult to guarantee data accuracy and integrity. This leads to inaccurate assessment of transportation losses, affecting material quality evaluation and transportation costs.

Method used

Blockchain technology is used to obtain production, preservation, and logistics data of velvet flower materials, analyze the impact of petal deformation and light fading, comprehensively assess transportation anomalies, dynamically select the optimal route, and transmit the data through blockchain.

Benefits of technology

Ensure data security, comprehensively and accurately assess transportation losses, reduce transportation damage, and guarantee material quality.

✦ Generated by Eureka AI based on patent content.

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Abstract

The present application relates to the technical field of traceability management, and more particularly to a blockchain-based wool material traceability management system and method, which comprehensively acquires various data of wool material production, storage, logistics transportation and the like through blockchain technology, ensures data security and non-tamperability, comprehensively considers various factors of wool material and transportation path, performs petal deformation influence analysis, light fading influence analysis, material transportation abnormality analysis and material transportation influence analysis, comprehensively and accurately evaluates possible losses of the material in the transportation process, and dynamically selects a path with minimum loss, and finally utilizes blockchain smart contract and encryption technology to safely transmit the selected path to the client, which can effectively reduce transportation loss and guarantee material quality.
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Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of traceability management, and in particular to a blockchain-based traceability management system and method for velvet materials. BACKGROUND

[0002] In the traditional management system of velvet materials, there are many problems in the data recording and management of materials at various links from production, storage to logistics transportation. The previous data management method relies on a centralized database, and the data is vulnerable to human tampering, malicious attacks or system failures, which makes it difficult to ensure the accuracy and integrity of the data. This makes it impossible to provide reliable data for all parties involved in the entire life cycle of the velvet material, thereby affecting the evaluation of the material quality, the monitoring of the transportation process and the subsequent production and use. For example, if the production data is tampered with, it may lead to a misjudgment of the material performance in the subsequent production process. In the logistics transportation process, if the transportation data is inaccurate, it is difficult to accurately assess the damage that the material may suffer during transportation.

[0003] Velvet materials have unique physical and chemical properties, and their quality is easily affected by many factors. During transportation, the physical properties of the material such as tensile strength, elasticity and bulk density will change, and environmental factors such as light, temperature and humidity, vibration, etc. will also cause different degrees of damage to the material, such as petal deformation, light fading, etc. However, traditional transportation loss assessment methods often only consider a few factors, lacking comprehensiveness and accuracy. For example, they may only focus on physical damage during transportation, while ignoring the long-term effects of light and humidity on the color and performance of the material. This limitation makes it impossible to accurately assess the actual loss of the material during transportation, and thus it is difficult to choose the optimal transportation path, increasing the risk of transportation costs and material loss. SUMMARY

[0004] In order to overcome the defects and deficiencies of the prior art, the present application provides a blockchain-based traceability management system and method for velvet materials.

[0005] In order to achieve the above-mentioned purpose, the present application adopts the following technical solutions:

[0006] In a first aspect, the present application provides a blockchain-based traceability management method for velvet materials, comprising the following steps:

[0007] Step S1, obtaining the production and storage conditions of the velvet material through blockchain technology, and obtaining the transportation path conditions and light conditions during the logistics transportation process of the velvet product;

[0008] Step S2, analyzing the petal deformation and light fading effects based on the production and storage conditions of the velvet material;

[0009] Step S3, based on the transportation of the logistics process of the velvet flower product and the light condition, the material transportation abnormality analysis is carried out;

[0010] Step S4, the material transportation influence analysis is carried out by comprehensively analyzing the influence of the product petal deformation influence analysis result and the light fading influence analysis result in the product transportation process;

[0011] Step S5, based on the material transportation influence analysis result, the material transportation path is selected, and the blockchain is transmitted to the client.

[0012] In an implementation manner of the present application, the production condition of the velvet flower material includes the tensile strength condition data of the corresponding velvet flower material, the elasticity data of the material and the color change condition of the material affected by light, wherein the tensile strength condition data of the corresponding velvet flower material and the elasticity data of the material are obtained through experiments, the damage degree of the velvet flower material in the state of vehicle driving vibration is analyzed through the tensile strength condition data of the corresponding velvet flower material and the elasticity data of the material, the color change condition of the material affected by light is obtained through corresponding experiments, and the specific experimental method can be to obtain the color change condition of the material under the irradiation of a specific illuminance light source, to obtain the speed of color change of the material with light, and to obtain the influence of the light intensity condition in the transportation process on the velvet flower material through the color change condition of the material affected by light; the storage condition of the velvet flower material includes the temperature condition, the humidity condition and the light shielding condition of the corresponding covering on the path in the transportation storage process, wherein the light shielding condition of the covering is the shielding effect of the covering on light, and the transportation light condition in the logistics transportation process includes the light condition of each time of the transportation path obtained through weather forecast, which is used to analyze the influence of light on the velvet flower material in the transportation process.

[0013] In an implementation manner of the present application, the step S2 of the velvet flower material petal deformation influence analysis includes the following specific steps:

[0014] S21, obtain the tensile strength condition data of the corresponding velvet flower material and the elasticity data of the material, and the bulk density of the velvet flower material, obtain the tensile strength, elasticity data and bulk density of the velvet flower material through professional detection equipment, and these data are derived from strict test procedures and follow relevant material standard data table;

[0015] S22, obtain the ratio of the tensile strength of the corresponding velvet material and the set tensile safety strength of the velvet material, and set it as the tensile strength safety value; obtain the ratio of the elasticity of the corresponding velvet material and the set safety elasticity of the velvet material, and set it as the elasticity safety value; and obtain the material deformation resistance coefficient by weighted summation of the tensile strength safety value and the elasticity safety value; it should be noted that the tensile safety strength and the safety elasticity of the velvet material are obtained from the standard data table of the velvet material;

[0016] S23, obtain the bulk density of the velvet material, and obtain the density safety value by dividing the corresponding bulk safety density by the bulk density; the bulk density safety value is the maximum bulk density that meets the demand of the loss of the collected and stacked velvet in the historical transportation process;

[0017] S24, obtain the petal deformation influence coefficient by weighted summation of the bulk density safety value and the material deformation resistance coefficient; obtain the petal deformation influence coefficient by weighted summation of the bulk density safety value and the deformation resistance coefficient; and comprehensively predict the petal deformation risk.

[0018] In an implementation manner of the present application, the light fading influence analysis in the step S2 includes the following specific contents:

[0019] S25, obtain the color change situation of the material under the influence of light, and obtain the fading anomaly by dividing the color change rate of the material under the corresponding illumination by the corresponding change rate standard value; the color is an important index for measuring color; and the color change of the material can be quantified by the change of the color.

[0020] In an implementation manner of the present application, the material transportation anomaly analysis in the step S3 includes the following specific contents:

[0021] S31, obtain the driving time, the road surface flatness, the temperature situation, the humidity situation, the light intensity and the light shielding situation of the corresponding covering of the corresponding route at each time; wherein, the temperature situation, the humidity situation and the light intensity of the corresponding road surface position at each time are obtained through the weather forecast of the corresponding position; the temperature situation, the humidity situation and the light intensity of each position are obtained through the weather forecast, which is a routine knowledge, so it will not be described in detail; the temperature anomaly is obtained by integrating the standard deviation of the temperature situation of the time point on the corresponding path and the suitable temperature range of the corresponding velvet material on the path time, and then dividing the standard time; the humidity anomaly is obtained by integrating the standard deviation of the humidity situation of the time point on the corresponding path and the suitable humidity range of the corresponding velvet material on the path time, and then dividing the standard time;

[0022] S32, obtain the light intensity of each point on the corresponding route at the corresponding time and the shading effect of the cover on the light, obtain the direct light intensity of the corresponding point by subtracting the shading light intensity of the cover from the light intensity, obtain the path light abnormality by dividing the integral of the direct light intensity of each point on the path at the corresponding time by the maximum value of the safe light intensity range of the material on the path time and then dividing by the standard time, wherein the safe light intensity range of the material is obtained through experiments, the light range that does not affect the color of the material, the shading effect of the cover on the light is considered, the direct light intensity is calculated, and the influence of light on the color of the velvet material can be more accurately evaluated;

[0023] S33, obtain the path temperature and humidity abnormality by multiplying the temperature and humidity influence coefficient by the temperature and humidity influence abnormality of the material color, obtain the path fading influence abnormality by adding the path temperature and humidity abnormality and the path light abnormality, the path fading influence abnormality is obtained by adding the path temperature and humidity abnormality and the path light abnormality, the influence of the two main factors of temperature and humidity and light on the color of the velvet material can be comprehensively considered, the path temperature and humidity abnormality is weighted by the temperature and humidity influence coefficient, the relative importance of temperature and humidity and light on the color of the material can be reasonably distributed, and the weighted path temperature and humidity abnormality and the path light abnormality are added to obtain the comprehensive path fading influence abnormality index.

[0024] In an implementation manner of the present application, the material transportation abnormality analysis in step S3 further includes the following specific contents:

[0025] S34, obtain the road surface flatness of each material transportation path, obtain the average vibration amplitude and average vibration frequency of the corresponding vehicle on the corresponding road surface flatness, wherein the road surface flatness is obtained by scanning the height of each point of the road surface in three dimensions, obtaining the standard deviation of the height of each point of the road surface relative to the reference surface, obtaining the vehicle vibration abnormality by multiplying the standardized vibration frequency of the corresponding vehicle of the road surface by the standardized vibration amplitude, and obtaining the path vibration abnormality by dividing the integral of the vehicle vibration abnormality on the path length by the standard path length.

[0026] In an implementation manner of the present application, the material transportation abnormality analysis in step S4 includes the following specific contents:

[0027] The path vibration abnormality, the petal deformation influence coefficient, the path fading influence abnormality, and the fading abnormality are obtained, the petal deformation abnormality value is obtained by dividing the path vehicle vibration abnormality by the petal deformation influence coefficient, the material fading abnormality value is obtained by multiplying the path fading influence abnormality and the fading abnormality, and the path transportation material abnormality is obtained by weighted summation of the obtained petal deformation abnormality value and the material fading abnormality value. The scheme comprehensively considers multiple factors such as path vibration abnormality, petal deformation influence coefficient, path fading influence abnormality, and fading abnormality. In the actual path transportation process, the material may be damaged in multiple different types, and only focusing on a single factor cannot accurately reflect the real damage of the material. By comprehensively considering these factors, the influence of path transportation on the material can be comprehensively evaluated, and more comprehensive information is provided for quality assurance in the transportation process. The petal deformation abnormality value is obtained by dividing the path vehicle vibration abnormality by the petal deformation influence coefficient. This calculation method is based on the causal relationship between path vehicle vibration and petal deformation. Vehicle vibration is an important factor leading to petal deformation, and the petal deformation influence coefficient considers the characteristics of the petal itself and other factors that may affect deformation.

[0028] In an implementation manner of the present application, the step S5 of selecting the material transportation path comprises the following specific contents:

[0029] The path transportation material abnormality value of all planned paths is obtained, the path corresponding to the minimum transportation material abnormality value is set as the material transportation path, the material transportation path is selected for transportation of the pile flower material, and the smart contract in the blockchain network automatically records and verifies the selected material transportation path information.

[0030] In a second aspect, the present application also provides a pile flower material traceability management system based on a blockchain, comprising:

[0031] The blockchain acquisition module acquires the production and storage conditions of the pile flower material, and simultaneously acquires the transportation path condition and the illumination condition in the logistics transportation process of the pile flower product through the blockchain technology.

[0032] The influence analysis module performs pile flower material petal deformation influence analysis and illumination fading influence analysis based on the production and storage conditions of the pile flower material.

[0033] The transportation abnormality analysis module performs material transportation abnormality analysis based on the transportation condition and the illumination condition in the logistics process of the pile flower product.

[0034] The transportation influence analysis module performs material transportation influence analysis by comprehensively considering the influence of the product petal deformation influence analysis result and the illumination fading influence analysis result in the product transportation process.

[0035] A path selection module selects a material transportation path based on the material transportation influence analysis result and transmits the selected path to the client through the blockchain.

[0036] In a third aspect, the present application provides an electronic device, comprising a processor and a memory, wherein the memory stores a computer program that can be invoked by the processor, and the processor executes the blockchain-based traceability management method for velvet materials by invoking the computer program stored in the memory.

[0037] In a fourth aspect, the present application provides a computer-readable storage medium storing instructions that, when executed on a computer, cause the computer to execute the blockchain-based traceability management method for velvet materials.

[0038] Compared with the prior art, the present application has the following advantages and beneficial effects:

[0039] Through the blockchain technology, the data of the production, storage, and logistics transportation of the velvet materials can be comprehensively obtained, the data security is ensured, and the data cannot be tampered with; the petal deformation influence analysis, the light fading influence analysis, the material transportation abnormality analysis, and the material transportation influence analysis are performed by comprehensively considering various factors of the velvet materials and the transportation path, the possible loss of the materials suffered in the transportation process is comprehensively and accurately evaluated, and the path with the minimum loss is dynamically selected; finally, the selected path is safely transmitted to the client by using the blockchain smart contract and the encryption technology, the transportation loss can be effectively reduced, and the material quality can be ensured. BRIEF DESCRIPTION OF DRAWINGS

[0040] Other features, objects, and advantages of the present application will become more apparent from the following detailed description of non-limiting embodiments with reference to the attached drawings:

[0041] Fig. 1 FIG. 1 is a schematic diagram of the overall process of the method embodiment 1 of the present application;

[0042] Fig. 2 FIG. 2 is a schematic diagram of the S2 process of the method embodiment 1 of the present application;

[0043] Fig. 3 FIG. 3 is a schematic diagram of the structure of the system embodiment 2 of the present application. DETAILED DESCRIPTION

[0044] In order to make the above-mentioned objects, features, and advantages of the present application more apparent and easy to understand, the specific embodiments of the present application will be described in detail below with reference to the accompanying drawings.

[0045] In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present application. However, the present application can be practiced without the specific details. In other instances, well-known methods have not been described in detail in order not to unnecessarily obscure aspects of the present application. Accordingly, it will be appreciated that the present application can be practiced with modification and alteration, and that the present application be limited by the

[0046] It should also be noted that each of the embodiments described herein can consist of any combination of features from different embodiments. Furthermore, unless specifically stated otherwise, it is appreciated that features described herein as a single process, operation or computer module can be implemented as one or more processors each of which can have one or more features described herein. In other words, one or more features of a computer module can be implemented together in a single processor or separately in a plurality of processors. It should also be noted that, unless specifically stated otherwise, features described herein as taking place in one temporal order (e.g. sequentially or in parallel) can in fact take place in a different order.

[0047] Embodiment 1

[0048] As shown in FIG. 1, the present embodiment provides a blockchain-based traceability management method for cashmere materials, which specifically includes the following steps: Figs. 1-2

[0049] Step S1, obtain the production and storage conditions of the cashmere material through blockchain technology, and obtain the transportation path and light conditions during the logistics transportation process of the cashmere product;

[0050] ​In the embodiment, the production of the velvet flower material includes the tensile strength data of the corresponding velvet flower material, the elasticity data of the material, and the color change of the material affected by light, wherein the tensile strength data of the corresponding velvet flower material and the elasticity data of the material are obtained through experiments, the damage degree of the velvet flower material under the vibration state of the vehicle is analyzed based on the tensile strength data of the corresponding velvet flower material and the elasticity data of the material, the color change of the material affected by light is obtained through corresponding experiments, and the specific experimental method can be to obtain the color change of the material under the irradiation of a specific illuminance light source, to obtain the speed of the color change of the material with light, and to obtain the influence of the light intensity in the transportation process on the velvet flower material based on the color change of the material affected by light; the storage of the velvet flower material includes the temperature and humidity conditions on the path during the transportation and storage process, and the light shielding condition of the corresponding covering, wherein the light shielding condition of the covering is the shielding effect of the covering on light, the transportation light condition in the logistics transportation process includes the light condition of the transportation path at each time obtained through weather forecast, which is used to analyze the influence of light on the velvet flower material in the transportation process, to comprehensively evaluate the loss of the velvet flower material on the road by comprehensively evaluating the weather influence on the color fading of the velvet flower material and the damage of the vibration to the material, and to select the path with the least loss for transportation; for the velvet flower material, the tensile strength data, the elasticity data, and the color change affected by light are obtained from the data recording nodes in the production link, wherein the tensile strength and the elasticity data are measured through experiments and uploaded to the blockchain, and the light color change data is recorded on the chain after the irradiation experiment of the specific illuminance light source; in the storage link, the temperature and humidity data are collected from various sensor nodes distributed on the transportation and storage path, and the light shielding effect data of the covering is obtained by monitoring the setting condition of the covering and stored in the blockchain; in the logistics transportation process, the transportation path information is collected in real time by means of the data acquisition device installed on the transportation equipment and the storage assembly and uploaded to the blockchain, and the light condition data of the transportation path at each time is also integrated into the blockchain in combination with the weather forecast system; these data are safely and non-tamperably stored on the blockchain;

[0051] In step S2, the velvet flower material petal deformation influence analysis and the light fading influence analysis are performed based on the production and storage of the velvet flower material.

[0052] In the embodiment, the velvet flower material petal deformation influence analysis in step S2 includes the following specific steps:

[0053] S21, obtain the tensile strength data of the corresponding velvet material and the elasticity data of the material, and the bulk density of the velvet material, obtain the tensile strength, elasticity data and bulk density of the velvet material through professional testing equipment, these data come from strict test procedures and follow relevant material standard data table, ensure the comprehensiveness and accuracy of the data, provide multi-dimensional basis for subsequent analysis;

[0054] S22, obtain the ratio of the tensile strength data of the corresponding velvet material to the set tensile safety strength of the velvet material, set as the tensile strength safety value, obtain the ratio of the elasticity data of the corresponding velvet material to the set safety elasticity of the velvet material, set as the elasticity safety value, and obtain the material deformation resistance coefficient by weighted summation of the tensile strength safety value and the elasticity safety value, it should be noted that the tensile safety strength and safety elasticity of the velvet material are obtained from the standard data table of the velvet material, the tensile safety strength and safety elasticity of the actual required velvet material are obtained, the tensile strength safety value and the elasticity safety value are calculated, the actual data is compared with the safety value, and then the weight is set according to different application scenarios to obtain the deformation resistance coefficient, which directly reflects the ability and redundancy of the material to resist external deformation;

[0055] S23, obtain the bulk density of the velvet material, and obtain the density safety value by dividing the corresponding bulk safety density by the bulk density, the bulk density safety value is the maximum bulk density that meets the demand of the loss of velvet collection and accumulation in the historical transportation process, the greater the bulk density in the accumulation process, the more serious the extrusion loss between the velvet materials, the bulk safety density is determined according to the historical transportation loss data, and the ratio of the bulk density safety value to the actual density is obtained to identify the critical accumulation state and avoid damage to the structure of the velvet due to excessive extrusion;

[0056] S24, weighted summation of the bulk density safety value and the material deformation resistance coefficient to obtain the petal deformation influence coefficient, weighted summation of the bulk density safety value and the deformation resistance coefficient to obtain the petal deformation influence coefficient, which comprehensively and comprehensively predicts the petal deformation risk;

[0057] S25, obtain the color change of the material under the influence of light, obtain the fading anomaly by dividing the color change rate of the material under the corresponding illumination by the corresponding change rate standard value, color is an important index to measure color, the color change of the material can be quantified by the change of color, under the action of light, the color group in the material will have chemical reaction, leading to the change of color, by measuring the color change rate, the degree of color change of the material can be objectively reflected, dividing the color change rate by the standard value can obtain a specific quantitative index, which can accurately measure the fading degree of the material under specific illumination conditions;

[0058] Step S3: Conduct material transportation anomaly analysis based on the transportation and lighting conditions during the logistics process of velvet flower products;

[0059] In this embodiment, the material transportation anomaly analysis in step S3 includes the following specific contents:

[0060] S31. Obtain the travel time, road surface condition, temperature, humidity, light intensity, and shading status of the corresponding road surface location for each route. The temperature, humidity, and light intensity at each time point are obtained from the corresponding weather forecast. Obtaining these information from the weather forecast is standard practice and will not be elaborated upon. The temperature anomaly is obtained by integrating the standard deviation of the temperature at each time point along the route and the suitable temperature range for the corresponding velvet material over the route time, then dividing by the standard duration. The humidity at each time point along the route and the standard deviation of the suitable humidity range for the corresponding velvet material over the route time... The humidity anomaly is obtained by integrating the time interval and dividing by the standard duration. It should be noted that the standard duration is only used to eliminate time units. The influence of temperature and humidity on the material color is obtained by weighted summation of temperature and humidity anomalies. The influence of temperature and humidity on the material color is quantified by calculating temperature and humidity anomalies and performing weighted summation. The color stability of velvet material is closely related to temperature and humidity. Different temperature and humidity conditions may cause chemical reactions in the pigment molecules in the material, thus affecting the color of the material. By calculating the integral of the standard deviation of temperature and humidity from the suitable range, the cumulative effect of temperature and humidity deviating from the suitable range during the entire transportation process can be reflected, which is in line with the basic principle of material being affected by the environment.

[0061] S32. Obtain the light intensity at each point on the corresponding route at the corresponding time and the shading effect of the covering on the light. Subtract the shading light intensity from the light intensity to obtain the direct light intensity at the corresponding point. Divide the direct light intensity at each time point on the path by the integral of the maximum safe light intensity range of the material over the path time and then divide by the standard duration to obtain the path light anomaly. The safe light intensity range of the material is obtained experimentally and is the light range that does not affect the color of the material. The shading effect of the covering on the light is considered. By calculating the direct light intensity, the influence of light on the color of the velvet material can be more accurately assessed. For example, during transportation, the material may be partially shaded. Considering only the light intensity without considering the shading effect will lead to an inaccurate assessment of the light influence. Light is one of the important factors that cause the material to fade. Different intensities of light will cause different degrees of damage to the pigment molecules in the material, thereby affecting the color of the material. The path duration is the time to navigate to the designated location.

[0062] S33, obtain the path temperature and humidity anomaly by multiplying the temperature and humidity anomaly of the material color by the temperature and humidity influence coefficient, obtain the path light fading influence anomaly by adding the path temperature and humidity anomaly and the path light fading influence anomaly, obtain the path light fading influence anomaly by adding the path temperature and humidity anomaly and the path light fading influence anomaly, which can comprehensively consider the influence of temperature and humidity and light on the color of the velvet material, and can reasonably allocate the relative importance of temperature and humidity and light on the color of the material by weighting the path temperature and humidity anomaly by the temperature and humidity influence coefficient, and can obtain the comprehensive path light fading influence anomaly index by adding the weighted path temperature and humidity anomaly and the path light fading influence anomaly;

[0063] S34, obtain the road surface flatness of each material transportation path, obtain the average vibration amplitude and average vibration frequency of the corresponding vehicle under the corresponding road surface flatness, wherein the road surface flatness is obtained by scanning the height of each point on the road surface, and the standard deviation of the height of each point on the road surface relative to the reference surface is obtained, the vehicle vibration anomaly is obtained by multiplying the standardized vibration frequency of the corresponding vehicle and the standardized vibration amplitude, the path vibration anomaly is obtained by integrating the vehicle vibration anomaly on the path length and dividing by the standard path degree, and the standardization here is divided by the standard value, and the vehicle vibration amplitude standard value and the vibration frequency standard value are obtained by statistical experiment during transportation without negative impact on the transported material;

[0064] Step S4, analyze the material transportation influence by comprehensively analyzing the product petal deformation influence analysis result and the light fading influence analysis result in the product transportation process;

[0065] In this embodiment, the material transportation anomaly analysis in step S4 includes the following specific contents:

[0066] The path vibration abnormality, the petal deformation influence coefficient, the path fading influence abnormality, and the fading abnormality are obtained, the petal deformation abnormality value is obtained by dividing the path vehicle vibration abnormality by the petal deformation influence coefficient, the material fading abnormality value is obtained by multiplying the path fading influence abnormality and the fading abnormality, and the path transportation material abnormality is obtained by weighted summation of the obtained petal deformation abnormality value and the material fading abnormality value. The scheme comprehensively considers multiple factors such as path vibration abnormality, petal deformation influence coefficient, path fading influence abnormality, and fading abnormality. In the actual path transportation process, the material may be damaged by multiple different types of damage, and only focusing on a single factor cannot accurately reflect the real damage of the material. By comprehensively considering these factors, the influence of path transportation on the material can be comprehensively evaluated, and more comprehensive information can be provided for quality assurance in the transportation process. The petal deformation abnormality value is obtained by dividing the path vehicle vibration abnormality by the petal deformation influence coefficient. This calculation method is based on the causal relationship between path vehicle vibration and petal deformation. Vehicle vibration is an important factor leading to petal deformation, and the petal deformation influence coefficient considers the characteristics of the petal itself and other factors that may affect deformation. Through this calculation method, the influence of vehicle vibration on petal deformation can be more accurately reflected. The material fading abnormality value is obtained by multiplying the path fading influence abnormality and the fading abnormality. This is because there is a synergistic effect between the path fading influence abnormality and the fading abnormality. Path environmental factors (such as light, temperature, etc.) may affect the fading process of the material, and the fading characteristics of the material itself also affect the final fading. Multiplying these two factors can more comprehensively consider their comprehensive influence on the fading of the material. The petal deformation abnormality value and the material fading abnormality value are weighted and summed to obtain the path transportation material abnormality. This is based on the fact that different types of damage have different importance to the transported material. The weight acquisition method here is: obtaining the customer's historical attention to material fading and material loss, and setting the weight according to the proportion of the attention degree;

[0067] Step S5, based on the material transportation influence analysis result, the material transportation path is selected, and is transmitted to the client through the blockchain;

[0068] In this embodiment, the material transportation path selection in step S5 includes the following specific contents:

[0069] The path transportation material outliers of all planned paths are obtained, the path corresponding to the smallest transportation material outlier is set as the material transportation path, the material transportation path is selected for transportation of the velvet flower material, the smart contract in the blockchain network automatically records and verifies the selected material transportation path information, the smart contract is triggered when the path screening is completed, the key data of the path such as the starting point, the ending point and the passing place are packaged and arranged, a data packet containing complete path information is formed, the data packet is encrypted, an advanced encryption algorithm such as asymmetric encryption is used, the path data packet is encrypted using the public key of the client, only the client can decrypt using the corresponding private key, the blockchain node broadcasts the encrypted path information to the entire blockchain network, the client establishes a connection with the node through its unique identity in the blockchain network, sends a request to the blockchain network, and queries the selected material transportation path, the blockchain node receives the request, extracts the encrypted path information from the distributed ledger, and sends it to the client, the client uses its private key to decrypt the received encrypted path information, and thus obtains the clear and accurate material transportation path.

[0070] Meanwhile, it needs to be further explained that the acquisition method of the unexplained setting parameters such as the weight in the embodiment is as follows: the production and storage conditions of the historical velvet flower materials are obtained, the transportation path conditions and the light conditions in the logistics transportation process of the velvet flower products are obtained, the real judgment result of whether the velvet flower materials after transportation meet the requirements is obtained, the historical acquisition data is introduced into the material transportation influence analysis and prediction result obtained in each step of the embodiment, the actual result and the calculation result of the embodiment are introduced into the fitting software, preferably the matlab fitting software, the data is continuously fitted, the value of the setting parameter with the maximum accuracy rate meeting the judgment and prediction is obtained, and the specific steps of fitting include: data acquisition and preprocessing (arranging and cleaning the abnormal values of the historical data of production, storage and logistics), feature extraction and model selection (selecting the key variables such as temperature, humidity and light, and establishing a regression or classification model), model training and parameter optimization, error analysis and verification (calculating the mean square error or cross-validation generalization ability), and finally updating the model (dynamically adjusting the parameters combined with new data), the entire process realizes algorithm fitting and visualization verification by using the matlab tool, so that the prediction result meets the actual requirements;

[0071] It should be noted that the embodiment has the following advantages and benefits: through the blockchain technology, the production, storage, logistics transportation and other data of the velvet flower material are comprehensively obtained, the data security is ensured and the data is not tamperable; the petal deformation influence analysis, the light fading influence analysis, the material transportation abnormality analysis and the material transportation influence analysis are performed by comprehensively considering the velvet flower material and the transportation path, the loss that the material may suffer in the transportation process is comprehensively and accurately evaluated, and the path with the minimum loss is dynamically selected; finally, the selected path is safely transmitted to the client by using the blockchain smart contract and the encryption technology, the transportation loss can be effectively reduced, and the material quality can be ensured.

[0072] Embodiment 2

[0073] As shown in Fig. 3 The embodiment provides a blockchain-based velvet flower material traceability management system, which is realized based on the blockchain-based velvet flower material traceability management method of embodiment 1 and includes a blockchain acquisition module that acquires the production and storage of the velvet flower material through the blockchain technology, and simultaneously acquires the transportation path and light conditions in the logistics transportation process of the velvet product; an influence analysis module that performs petal deformation influence analysis and light fading influence analysis of the velvet flower material based on the production and storage of the velvet flower material; a transportation abnormality analysis module that performs material transportation abnormality analysis based on the transportation and light conditions in the logistics process of the velvet product; a transportation influence analysis module that performs material transportation influence analysis by comprehensively considering the influence of the petal deformation influence analysis result and the light fading influence analysis result in the product transportation process; and a path selection module that selects the material transportation path based on the material transportation influence analysis result and transmits the path to the client through the blockchain. The specific steps of each module of the embodiment of the system are the same as the specific steps of the method embodiment of embodiment 1, and will not be repeated here.

[0074] Embodiment 3

[0075] The electronic device of the embodiment includes a processor and a memory, wherein the memory stores a computer program that can be called by the processor, and the processor executes the blockchain-based velvet flower material traceability management method by calling the computer program stored in the memory. It should be noted that all computer programs of the blockchain-based velvet flower material traceability management method are implemented by using C language.

[0076] Embodiment 4

[0077] The embodiment provides a computer readable storage medium, which stores an erasable computer program.

[0078] When the computer program runs on the computer device, the computer device executes the above-mentioned blockchain-based velvet flower material traceability management method.

[0079] The above-described embodiments can be implemented in part or in whole through software, hardware, firmware or any combination thereof. When implemented in software, the above-described embodiments can be implemented in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When loaded and executed by a computer, the computer instructions or computer programs cause the computer to perform all or part of the processes or functions according to the embodiments of the present application. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable apparatus. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, from a website site, a computer, a server or a data center to another website site, a computer, a server or a data center through a wired network or / and a wireless network. The computer-readable storage medium can be any available medium or a collection of medium containing one or more available medium that is accessible by a computer. The available medium can be a magnetic medium (e.g., a floppy diskette, a hard disk), an optical medium (e.g., a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state hard disk.

[0080] Those skilled in the art can clearly understand that the units and algorithm steps of the examples described in combination with the embodiments disclosed in the present application can be realized by electronic hardware or a combination of computer software and electronic hardware. Whether the functions are realized in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to realize the described functions for each specific application, but such implementation should not be considered beyond the scope of the present application.

[0081] Those skilled in the art can clearly understand that, for the convenience and brevity of the description, the specific working processes of the above-described system, device and unit can refer to the corresponding processes in the foregoing method embodiments, which will not be described here.

[0082] In several embodiments provided by the present application, it should be understood that the disclosed system, device and method can be implemented in other ways. For example, the above-described device embodiments are merely schematic, for example, the division of units is only one, and actual implementation can have another division manner, for example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the displayed or discussed units can be indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0083] The units described as separate components may or may not be physically separate, and the components displayed as units may or may not be physical units, i.e. may be located in one place, or may be distributed to multiple network units. Part or all of the units may be selected according to actual needs to achieve the purpose of the embodiment.

[0084] In addition, each functional unit in each embodiment of the present application can be integrated in one processing unit, or each unit can be physically present separately, or two or more units can be integrated in one unit.

[0085] In the description of the present specification, the description referring to the terms "one embodiment", "example", "specific example" and the like means that the specific features, structures, materials or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present application. In the present specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0086] The basic principles and main features of the present application and the advantages of the present application are shown and described above. It should be understood by those skilled in the art that the present application is not limited by the above embodiments, and the above embodiments and descriptions in the specification are only illustrative of the principles of the present application. Without departing from the spirit and scope of the present application, various changes and improvements can be made to the present application, and these changes and improvements all fall within the scope of the present application. The scope of protection of the present application is defined by the appended claims and their equivalents.

Claims

1. A method for management of traceability of a knitted fabric based on a blockchain, characterized by, Comprise the following steps: Step S1, obtain the production and storage of the material through the blockchain technology, and obtain the transportation path and light conditions during the logistics transportation of the product; Step S2, based on the production and storage of the material, analyze the petal deformation influence and light fading influence; Comprise the following specific steps: S21, obtain the tensile strength data and material elasticity data of the corresponding material, and the bulk density of the material; S22, obtain the ratio of the tensile strength data of the corresponding material to the set tensile safety strength of the material, and set it as the tensile safety value; Obtain the ratio of the elasticity data of the corresponding material to the set safety elasticity of the material, and set it as the elasticity safety value, and obtain the material deformation resistance coefficient by weighted summation of the tensile safety value and the elasticity safety value; S23, obtain the bulk density of the material, and obtain the density safety value by dividing the corresponding bulk safety density by the bulk density; S24, weighted summation of the bulk density safety value and the material deformation resistance coefficient to obtain the petal deformation influence coefficient, and weighted summation of the bulk density safety value and the deformation resistance coefficient to obtain the petal deformation influence coefficient; S25, obtain the color change of the material under light, and obtain the fading anomaly by dividing the material color change rate under corresponding illumination by the corresponding change rate standard value; Step S3, based on the transportation and light conditions during the logistics process of the product, analyze the material transportation anomaly; Comprise the following specific contents: S31, obtain the driving time, road surface flatness, temperature, humidity, light intensity and corresponding covering light shielding of each route, obtain the temperature anomaly by integrating the temperature of the corresponding path at the time point and the standard deviation of the suitable temperature range of the corresponding material on the path time, and then dividing by the standard time length, obtain the humidity anomaly by integrating the humidity of the corresponding path at the time point and the standard deviation of the suitable humidity range of the corresponding material on the path time, and then dividing by the standard time length, and obtain the temperature and humidity influence anomaly on the material color by weighted summation of the temperature anomaly and the humidity anomaly; S32, obtain the light intensity and covering light shielding effect of the corresponding material at each point on the corresponding route, obtain the direct light intensity of the corresponding point by subtracting the shielding light intensity of the covering from the light intensity, and obtain the path light anomaly by dividing the direct light intensity of each time point on the path by the maximum value of the safe light intensity range of the material on the path time and then dividing by the standard time length; S33, obtain the path temperature and humidity anomaly by multiplying the temperature and humidity influence anomaly on the material color by the temperature and humidity influence coefficient, and obtain the path fading influence anomaly by adding the path temperature and humidity anomaly and the path light anomaly. S34, obtaining the road surface flatness on each material transportation path, obtaining the average vibration amplitude and average vibration frequency of the corresponding vehicle under the corresponding road surface flatness, wherein the road surface flatness is obtained by scanning the height of each point on the road surface in three dimensions, obtaining the standard deviation of the height of each point on the road surface relative to the reference surface, multiplying the standardized vibration frequency of the corresponding vehicle with the standardized vibration amplitude to obtain the vehicle vibration anomaly, and dividing the integral of the vehicle vibration anomaly on the path length by the standard path length to obtain the path vibration anomaly; Step S4, material transportation influence analysis is performed by comprehensively analyzing the product petal deformation influence analysis result and the light fading influence analysis result in the product transportation process; The specific contents include: Obtaining the path vibration anomaly, petal deformation influence coefficient, path fading influence anomaly and fading anomaly, dividing the path vibration anomaly by the petal deformation influence coefficient to obtain the petal deformation anomaly value, multiplying the path fading influence anomaly and the fading anomaly to obtain the material fading anomaly value, and performing weighted summation on the obtained petal deformation anomaly value and material fading anomaly value to obtain the material transportation influence anomaly; Step S5, based on the material transportation influence analysis result, the material transportation path is selected and transmitted to the client through the blockchain.

2. The blockchain-based management method of claim 1, wherein, The production of the velvet material includes the tensile strength data of the corresponding velvet material, the elasticity data of the material and the color change of the material under the influence of light; the storage of the velvet material includes the temperature and humidity of the path in the transportation and storage process and the shading of the corresponding covering; the specific content obtained by the blockchain technology is: for the velvet material, the tensile strength data, the elasticity data and the color change under the influence of light are obtained from the data recording nodes of the production link by using the distributed ledger characteristics of the blockchain, wherein the tensile strength and elasticity data are measured by experiment and uploaded to the blockchain, and the light color change data is recorded on the chain after the experiment under the irradiation of a specific illuminance light source; in the storage link, the temperature and humidity data are collected from various sensor nodes distributed on the transportation and storage path, and the shading effect data is obtained by monitoring the setting of the covering and stored in the blockchain; during the logistics transportation process, the transportation path information is collected in real time by means of the data acquisition device installed on the transportation equipment and storage assembly and uploaded to the blockchain, and the light condition data of the transportation path at each time is also integrated into the blockchain by combining the weather forecasting system. 3.The blockchain-based management method of claim 1, wherein, The material transportation path selection in step S5 includes the following specific contents: Obtain the material transportation influence outliers of all planning paths, and set the path corresponding to the minimum material transportation influence outliers as the material transportation path. The selected material transportation path is used for the transportation of the pile material. The smart contract in the blockchain network automatically records and verifies the selected material transportation path information. The smart contract is triggered when the path screening is completed. The key data of the path is packaged and arranged to form a data packet containing complete path information. The path data packet is encrypted using the public key of the client. The blockchain node broadcasts the encrypted path information to the entire blockchain network. The client establishes a connection with the node through its unique identity in the blockchain network, sends a request to the blockchain network, and queries the selected material transportation path. After receiving the request, the blockchain node extracts the encrypted path information from the distributed ledger and sends it to the client. The client decrypts the received encrypted path information using the private key, thereby obtaining the material transportation path.

4. A blockchain-based management system for tracing a knitted fabric, for implementing the blockchain-based management method for tracing a knitted fabric according to any one of claims 1 to 3, characterized by, The system comprises: a blockchain acquisition module that acquires the production and storage conditions of pile materials and the transportation path and light conditions during the logistics transportation of pile products through blockchain technology; an influence analysis module that analyzes the petal deformation influence and light fading influence of pile materials based on the production and storage conditions of pile materials; a transportation anomaly analysis module that analyzes the material transportation anomalies based on the transportation and light conditions during the logistics process of pile products; a transportation influence analysis module that analyzes the influence of the petal deformation influence analysis results and the light fading influence analysis results on the transportation process of products; a path selection module that selects the material transportation path based on the material transportation influence analysis results and transmits the path to the client through the blockchain.

5. An electronic device comprising: A processor and a memory, wherein the memory stores a computer program that can be called by the processor; characterized in that the processor executes the blockchain-based pile material traceability management method according to any one of claims 1-3 by calling the computer program stored in the memory.

Citation Information

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