Method and system for testing anti-ultraviolet performance of high-performance outdoor sunshade fabric

Abstract

The invention relates to the technical field of fabric performance testing, in particular to a method and system for testing the anti-ultraviolet performance of a high-performance outdoor sunshade fabric. Identifying fabric product parameters; performing ultraviolet test on the fabric product, and collecting test environment data, fabric state data, ultraviolet test parameters and fabric quality data; dividing test time subsets according to the fabric state data; identifying the fabric product parameters, the test environment data, the fabric state data, the ultraviolet test parameters and the fabric quality data in the test time subset to obtain fabric interception data and fabric resistance data; and obtaining fabric use weight data according to the use time of the fabric product, the regional environment data and the test environment data in the test time subset in the target region. According to the method, the fabric performance of the fabric product in a specific use scene is accurately identified through the fabric use weight data, the fabric interception data and the fabric resistance data.

Description

Technical Field

[0001] The invention relates to the technical field of fabric performance testing, and in particular to a method and system for testing the anti-ultraviolet performance of high-performance outdoor sunshade fabrics. Background Art

[0002] Among the existing UV resistance testing technologies for fabric products, most of them focus on testing the UV protection performance of the fabric itself; usually, the UV radiation source is simulated by laboratory equipment, the fabric is exposed, and the intensity of UV rays passing through the fabric is measured to determine the UV resistance performance; its core is to evaluate the results of the contact between the UV radiation source and the fabric under standardized experimental conditions.

[0003] Current testing methods mostly use a static experimental environment, ignoring the impact of environmental factors such as wind, humidity, and temperature that may occur during the use of fabrics. In a strong wind environment, dynamic changes such as deformation and shaking of fabric products will significantly affect their UV blocking ability. Therefore, relying solely on static testing cannot fully reflect the actual performance of fabrics in real use environments.

[0004] Therefore, a method and system for testing the anti-ultraviolet performance of high-performance outdoor sunshade fabrics are proposed. Summary of the invention

[0005] The purpose of the present invention is to provide a high-performance outdoor sunshade fabric anti-ultraviolet performance testing method and system; identify fabric product parameters; perform ultraviolet testing on fabric products, collect test environment data, fabric status data, ultraviolet test parameters and fabric quality data; divide test time subsets according to fabric status data; identify fabric product parameters, test environment data, fabric status data, ultraviolet test parameters and fabric quality data in the test time subset, and obtain fabric interception data and fabric resistance data; obtain fabric usage weight data according to the use time of fabric products in the target area, regional environment data and test environment data in the test time subset. The present invention accurately identifies the fabric performance of fabric products in specific usage scenarios through fabric usage weight data, fabric interception data and fabric resistance data.

[0006] To achieve the above object, the present invention provides the following technical solutions: A method for testing the UV resistance of high-performance outdoor sunshade fabrics, comprising: S10. Identify the fabric product and obtain fabric product parameters, including fabric material parameters and fabric structure parameters; S20. Perform ultraviolet testing on fabric products; during the testing process, collect environmental data to obtain test environment data; monitor the spatial motion state of fabric products to obtain fabric state data; identify ultraviolet parameters above and below the fabric products to obtain ultraviolet test parameters; obtain inner and outer surface images of fabric products to obtain fabric quality data; S30. Divide the test process according to the fabric status data to obtain a test time subset; identify the fabric product parameters, test environment data, fabric status data, UV test parameters and fabric quality data within the test time subset to obtain fabric interception data and fabric resistance data; S40. Identify the usage time and regional environmental data of fabric products in the target area, and obtain fabric usage weight data by combining the test environment data in the test time subset; S50. Obtain fabric performance coefficient through fabric usage weight data, fabric interception data and fabric resistance data.

[0007] The fabric material parameters include yarn type, yarn twist, yarn diameter and weaving density; The fabric structural parameters include fabric density, fabric thickness, elastic modulus, damping characteristics, surface friction coefficient, air permeability parameters, bending stiffness and shear stiffness.

[0008] The test environment data includes wind direction data, wind speed data, temperature data, humidity data and ultraviolet data; the fabric state data is a motion video image of the fabric.

[0009] The process of dividing the test process according to the fabric status data and obtaining the test time subset is as follows: Construct a fabric state recognition model to identify fabric state data; The three-dimensional spatial data of the fabric is obtained according to the fabric state data identification; the state pattern of the fabric is identified through the three-dimensional spatial data of the fabric; the test process is divided according to the time range of the fabric state pattern to obtain the test time subset.

[0010] The identification process of the fabric interception data and the fabric resistance data is as follows: Constructing a fabric parameter recognition model, including a UV interception recognition layer and a UV resistance recognition layer; The ultraviolet interception identification layer identifies the ultraviolet test parameters, and obtains fabric interception data based on the difference in ultraviolet intensity above and below the fabric product, the difference in ultraviolet distribution below the fabric product, and the fabric product parameters, test environment data, and fabric status data within the test time subset; The fabric interception data is the interception data of ultraviolet rays by the fabric product under different state modes of the fabric; The ultraviolet resistance identification layer identifies the fabric quality data, and identifies the fabric resistance data according to the inner surface image identification of the fabric product, the outer surface image identification of the fabric product, the difference identification between the inner surface image and the outer surface image, and the fabric product parameters, test environment data, and fabric state data within the test time subset; The fabric resistance data is the resistance data of the fabric product to ultraviolet rays in different fabric status modes.

[0011] The identification process of the fabric usage weight data is as follows: According to the usage of fabric products, the fabric usage time is divided and weighted to obtain usage time subsets and usage time weights; Predicting regional environmental data within a usage time subset based on historical data to obtain predicted environmental data; Identify and divide the predicted environment data through the test environment data in the test time subset to obtain the predicted environment data subset, and determine the fabric state mode corresponding to the predicted environment data subset; According to the occurrence frequency of the fabric state mode during the fabric use time, the similarity between the prediction environment data subset and the test environment data in the test time subset, the fabric interception weight data and the fabric resistance weight data are identified; According to the fabric interception weight data and the fabric resistance weight data, the fabric usage weight data is identified and obtained.

[0012] A high-performance outdoor sunshade fabric anti-ultraviolet performance testing system, comprising: The fabric parameter acquisition module identifies the fabric product and obtains fabric product parameters; the fabric product parameters include fabric material parameters and fabric structure parameters; The fabric product testing module conducts ultraviolet testing on fabric products. During the testing process: environmental data is collected to obtain test environment data; the movement state of the fabric product is monitored to obtain fabric state data; ultraviolet parameters above and below the fabric product are identified to obtain ultraviolet test parameters; the inner and outer surface images of the fabric product are acquired to obtain fabric quality data; The test data identification module divides the test process according to the fabric status data to obtain the test time subset; identifies the fabric product parameters, test environment data, fabric status data, ultraviolet test parameters and fabric quality data in the test time subset to obtain fabric interception data and fabric resistance data; Use the scenario analysis module to identify the usage time and regional environmental data of fabric products in the target area, and combine the test environment data in the test time subset to obtain the fabric usage weight data; The fabric performance identification module obtains the fabric performance coefficient through fabric usage weight data, fabric interception data and fabric resistance data.

[0013] Compared with the prior art, the present invention has the following beneficial effects: 1. The present invention collects relevant parameters of fabric products through ultraviolet resistance and wind movement factors to obtain fabric product parameters; the fabric product parameters include fabric material parameters and fabric structure parameters; through the collection of relevant parameters of fabric products, the basic information of fabric products can be accurately understood, and data support can be provided for subsequent performance identification.

[0014] 2. The present invention constructs a fabric state recognition model to recognize the fabric state data obtained from the test, and recognizes the state mode of the fabric product during the test according to the three-dimensional spatial data of the fabric in the fabric state data; divides the test process according to the time range of the fabric state mode to obtain the test time subset; thereby accurately dividing the test process according to the state mode of the fabric product, which is convenient for accurately identifying the fabric product under the state mode.

[0015] 3. The present invention identifies the test process of the fabric product, identifies and divides it through the fabric status data, and obtains the test time subset; according to the difference in ultraviolet intensity above and below the fabric product, the difference in ultraviolet distribution below the fabric product, and in combination with the fabric product parameters, test environment data, and fabric status data in the test time subset, the fabric interception data is identified; according to the inner surface image recognition of the fabric product, the outer surface image recognition of the fabric product, the difference recognition between the inner surface image and the outer surface image, and the fabric product parameters, test environment data, and fabric status data in the test time subset, the fabric resistance data is identified; the fabric product's interception and resistance capabilities to ultraviolet rays can be accurately identified.

[0016] 4. The present invention identifies the area where the fabric product is put into use, and obtains the use time and regional environmental data of the fabric product; divides the fabric use time according to the use of the fabric product and assigns weights to obtain use time subsets and use time weights; identifies the predicted environment data subset, and determines the fabric state pattern corresponding to the predicted environment data subset; identifies the fabric interception weight data and the fabric resistance weight data according to the frequency of occurrence of the fabric state pattern within the fabric use time, and the similarity between the predicted environment data subset and the test environment data in the test time subset; thereby accurately identifying the difference between the test environment and the target environment of the fabric product, and setting the weight according to the difference and the use situation. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 A schematic flow chart of a method for testing the anti-ultraviolet performance of a high-performance outdoor sunshade fabric according to the present invention; Figure 2 It is a structural schematic diagram of the fabric parameter identification model of the present invention; Figure 3 The present invention is a schematic structural diagram of a high-performance outdoor sunshade fabric anti-ultraviolet performance testing system. DETAILED DESCRIPTION

[0018] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0019] Embodiment 1 As people's outdoor activities continue to increase, the demand for outdoor sunshade fabrics is gradually increasing. Sunshade fabrics not only provide protection for people in daily life, but are also widely used in outdoor sports, camping, picnics, car sunshade and other fields.

[0020] UV resistance is one of the important indicators of fabric performance; long-term exposure to UV radiation may cause skin cancer, sunburn, premature aging and other problems; therefore, the development of outdoor sunshade fabrics with excellent UV protection has become a key factor in improving the quality of outdoor life.

[0021] The present invention provides a method for testing the anti-ultraviolet performance of high-performance outdoor sunshade fabrics, the process of which is as follows: Figure 1 As shown, including: S10. Identify and obtain fabric product parameters, including fabric material parameters and fabric structure parameters.

[0022] The fabric material parameters include yarn type, yarn twist, yarn diameter and weaving density; Among them, yarn twist: high twist yarn is more rigid; yarn diameter: thick yarn increases the inertia of the fabric; weaving density, tightly woven fabrics have strong resistance to deformation, and loose structures are prone to local high-frequency vibrations.

[0023] The fabric structural parameters include fabric density, fabric thickness, elastic modulus, damping characteristics, surface friction coefficient, air permeability parameters, bending stiffness, and shear stiffness; Fabric density: It is the mass per unit area of ​​fabric products (g / m²), which directly affects the balance between inertia and gravity. The greater the fabric density, the greater the inertia, and the lower the movement amplitude and frequency. Fabric thickness: The greater the fabric thickness, the higher the fabric bending stiffness, and it is not easy to produce high-frequency jitter; the smaller the fabric thickness, the easier it is to form a wave-like movement. Elastic modulus: It reflects the ability of fabric product materials to resist elastic deformation. Fabrics with high elastic modulus (such as polyester) rebound quickly and have a high jitter frequency. Damping characteristics: It reflects the ability of materials to absorb vibration energy. High damping materials such as wool can quickly attenuate jitter, while nylon is prone to continuous vibration due to low damping. Surface friction coefficient: It affects the interaction between fabric products and airflow. Smooth surfaces (such as coated fabrics) reduce air resistance and make movement smoother. Breathability parameters: It reflects the ability of air to penetrate fabrics (unit: cm³ / cm² / s). High breathability (such as mesh) will disperse wind force and reduce the overall movement amplitude. Bending stiffness: It measures the ability of fabrics to resist bending deformation. Fabrics with low bending stiffness (such as tulle) are more likely to swing with the wind. Shear stiffness: affects the ability of fabric to twist and deform under wind. Knitted fabrics have low shear stiffness and are prone to diagonal tensile deformation.

[0024] The present invention collects relevant parameters of fabric products through ultraviolet resistance and wind movement factors to obtain fabric product parameters; the fabric product parameters include fabric material parameters and fabric structure parameters; through the collection of relevant parameters of fabric products, the basic information of fabric products can be accurately understood, and data support can be provided for subsequent performance identification.

[0025] S20. Conduct ultraviolet testing on fabric products; during the test, collect environmental data to obtain test environment data; monitor the spatial movement state of the fabric products to obtain fabric state data; identify ultraviolet parameters above and below the fabric products to obtain ultraviolet test parameters; acquire inner and outer surface images of the fabric products to obtain fabric quality data.

[0026] The ultraviolet parameters below the fabric product are ultraviolet intensity distribution data of the area covered by the fabric product.

[0027] The test environment data includes wind direction data, wind speed data, temperature data, humidity data and ultraviolet data; the fabric state data is a motion video image of the fabric.

[0028] When the wind speed exceeds a critical value, the fabric enters a dynamic state from a stable state; turbulence causes non-periodic motion, such as the random fluttering of a flag; and oblique wind causes the fabric to move in a spiral. Increased humidity improves the fabric mass and reduces the amplitude of motion; and temperature changes affect the stiffness of the material.

[0029] S30. Divide the test process according to the fabric status data to obtain test time subsets; identify fabric product parameters, test environment data, fabric status data, ultraviolet test parameters and fabric quality data within the test time subsets to obtain fabric interception data and fabric resistance data.

[0030] The process of dividing the test process according to the fabric status data and obtaining the test time subset is as follows: Construct a fabric state recognition model to identify fabric state data; According to the three-dimensional spatial data of the fabric in the fabric state data, the state mode of the fabric is identified; according to the time range of the fabric state mode, the test process is divided to obtain the test time subset.

[0031] Under the action of wind, fabric products will present various movement states, which have a significant impact on the fabric's anti-ultraviolet and anti-corrosion properties.

[0032] Structural changes: The movement state under the action of wind will cause changes in the fabric structure, such as wrinkles and twists, which may destroy the uniformity of the fabric and affect the UV filtering effect. Local transmittance changes: The movement state may cause the UV transmittance of local areas to increase, especially in areas where gaps are formed between fabric layers or the structure is uneven. Dynamic changes: The movement state of the fabric is dynamically changing, resulting in dynamic changes in UV transmittance, making it difficult to maintain stable anti-UV performance.

[0033] Surface wear: Movement under wind force can cause wear on the surface of the fabric, especially at edges, seams and folds, increasing the possibility of corrosion. Internal fiber fatigue: High-frequency vibration or distortion can cause fatigue of the internal fibers of the fabric, reducing its durability and corrosion resistance.

[0034] Classify the state modes of fabric products under the action of wind, including fluttering, shaking, wrinkling, twisting and relaxation.

[0035] Fluttering: The fabric sways with the wind as a whole, moving up and down or left and right in a regular manner.

[0036] Anti-ultraviolet performance: The fluttering of fabrics may increase the transmittance of ultraviolet rays in local areas, especially when gaps are formed between fabric layers, ultraviolet rays may penetrate more easily. Anti-corrosion performance: Frequent fluttering may accelerate the wear of the fabric surface, especially at the edges and seams, increasing the risk of corrosion.

[0037] Flutter: The fabric produces high-frequency vibrations under the action of wind, usually manifesting as rapid small swings.

[0038] Anti-ultraviolet performance: shaking may cause instability in the fabric structure, affecting the uniform distribution and filtering effect of ultraviolet rays. Anti-corrosion performance: high-frequency vibration may cause fatigue of the internal fibers of the fabric, reducing its durability and corrosion resistance.

[0039] Wrinkles: The fabric forms wavy folds under the action of wind, usually appearing in the middle or edges of the fabric.

[0040] Anti-ultraviolet performance: Wrinkles may increase the transmittance of ultraviolet rays in local areas, especially at the bottom of the folds, where ultraviolet rays may penetrate more easily. Anti-corrosion performance: Wrinkles may accelerate the wear of the fabric surface, especially at the peaks and valleys of the folds, increasing the possibility of corrosion.

[0041] Distortion: The fabric rotates or twists under the action of wind, usually manifested as one area of ​​the fabric rotating relative to another area. Anti-UV performance: Distortion may cause unevenness in the fabric structure, affecting the filtering effect of ultraviolet rays. Anti-corrosion performance: Distortion may cause stress concentration in the fibers inside the fabric, reducing its durability and corrosion resistance.

[0042] Relaxation: Fabric loses tension under the action of wind and becomes loose, usually manifested as the fabric drooping or sagging.

[0043] Anti-ultraviolet performance: relaxation may cause the local area of ​​the fabric to be too tight or too loose, affecting the transmittance of ultraviolet rays. Anti-corrosion performance: relaxation may accelerate the wear of the fabric surface, especially in the sagging parts, increasing the possibility of corrosion.

[0044] The present invention constructs a fabric state recognition model to recognize fabric state data obtained in a test, and recognizes the state mode of a fabric product in a test process according to the three-dimensional spatial data of the fabric in the fabric state data; divides the test process according to the time range in which the fabric state mode is located to obtain a test time subset; thereby accurately dividing the test process according to the state mode of the fabric product, and facilitating accurate recognition of the fabric product in the state mode.

[0045] The identification process of the fabric interception data and the fabric resistance data is as follows: Construct a fabric parameter recognition model with the following structure: Figure 2 As shown, it includes an ultraviolet interception identification layer and an ultraviolet resistance identification layer; The ultraviolet interception identification layer identifies the ultraviolet test parameters, and obtains fabric interception data based on the difference in ultraviolet intensity above and below the fabric product, the difference in ultraviolet distribution below the fabric product, and the fabric product parameters, test environment data, and fabric status data within the test time subset; The fabric interception data is the interception data of ultraviolet rays by the fabric product under different state modes of the fabric; The ultraviolet resistance identification layer identifies the fabric quality data, and identifies the fabric resistance data according to the inner surface image identification of the fabric product, the outer surface image identification of the fabric product, the difference identification between the inner surface image and the outer surface image, and the fabric product parameters, test environment data, and fabric state data within the test time subset; The fabric resistance data is the resistance data of the fabric product to ultraviolet rays in different fabric status modes.

[0046] When fabrics are exposed to ultraviolet rays, they can cause the fiber molecular chains to break, resulting in a decrease in fiber strength, weakened elasticity, and even brittleness. At the same time, ultraviolet rays can cause the color of fabrics to fade or turn yellow, especially fabrics containing organic dyes. The degree of color change is closely related to the type of dye, fiber type, and ultraviolet intensity. Ultraviolet rays can also cause fiber degradation, which can lead to a decrease in the tensile strength, tear strength, and abrasion resistance of the fabric; the softness and elasticity of the fabric will also be affected.

[0047] The present invention identifies the test process of a fabric product, identifies and divides it through fabric status data, and obtains a test time subset; identifies and obtains fabric interception data according to the difference in ultraviolet intensity above and below the fabric product, the difference in ultraviolet distribution below the fabric product, and in combination with fabric product parameters, test environment data, and fabric status data in the test time subset; identifies and obtains fabric resistance data according to inner surface image recognition of the fabric product, outer surface image recognition of the fabric product, difference recognition between inner surface image and outer surface image, and fabric product parameters, test environment data, and fabric status data in the test time subset; and can accurately identify the interception and resistance capabilities of fabric products to ultraviolet rays.

[0048] S40. Identify the usage time and regional environmental data of fabric products in the target area, and obtain fabric usage weight data by combining the test environment data in the test time subset.

[0049] The identification process of the fabric usage weight data is as follows: According to the usage of fabric products, the fabric usage time is divided and weighted to obtain usage time subsets and usage time weights; Predicting regional environmental data within a usage time subset based on historical data to obtain predicted environmental data; Identify and divide the predicted environment data through the test environment data in the test time subset to obtain the predicted environment data subset, and determine the fabric state mode corresponding to the predicted environment data subset; According to the occurrence frequency of the fabric state mode during the fabric use time, the similarity between the prediction environment data subset and the test environment data in the test time subset, the fabric interception weight data and the fabric resistance weight data are identified; According to the fabric interception weight data and the fabric resistance weight data, the fabric usage weight data is identified and obtained.

[0050] The present invention identifies the area where a fabric product is put into use, and obtains the use time and regional environmental data of the fabric product; divides the fabric use time according to the use situation of the fabric product and assigns weights to obtain use time subsets and use time weights; identifies a predicted environment data subset, and determines a fabric state mode corresponding to the predicted environment data subset; identifies fabric interception weight data and fabric resistance weight data according to the occurrence frequency of the fabric state mode within the fabric use time, and the similarity between the predicted environment data subset and the test environment data in the test time subset; thereby accurately identifying the difference between the test environment and the target environment of the fabric product, and setting weights according to the difference and the use situation.

[0051] S50. Obtain fabric performance coefficient through fabric usage weight data, fabric interception data and fabric resistance data.

[0052] The present invention also provides a high-performance outdoor sunshade fabric anti-ultraviolet performance testing system, the structure of which is as follows: Figure 3 As shown, including: The fabric parameter acquisition module identifies the fabric product and obtains fabric product parameters; the fabric product parameters include fabric material parameters and fabric structure parameters; The fabric product testing module conducts ultraviolet testing on fabric products. During the testing process: environmental data is collected to obtain test environment data; the movement state of the fabric product is monitored to obtain fabric state data; ultraviolet parameters above and below the fabric product are identified to obtain ultraviolet test parameters; the inner and outer surface images of the fabric product are acquired to obtain fabric quality data; The test data identification module divides the test process according to the fabric status data to obtain the test time subset; identifies the fabric product parameters, test environment data, fabric status data, ultraviolet test parameters and fabric quality data in the test time subset to obtain fabric interception data and fabric resistance data; Use the scenario analysis module to identify the usage time and regional environmental data of fabric products in the target area, and combine the test environment data in the test time subset to obtain the fabric usage weight data; The fabric performance identification module obtains the fabric performance coefficient through fabric usage weight data, fabric interception data and fabric resistance data.

[0053] The present invention identifies fabric product parameters, then performs ultraviolet testing and data collection on the fabric product to obtain test environment data, fabric status data, ultraviolet test parameters and fabric quality data; divides the test time subset according to the fabric status data; identifies the fabric product parameters, test environment data, fabric status data, ultraviolet test parameters and fabric quality data in the test time subset to obtain fabric interception data and fabric resistance data; obtains fabric use weight data according to the use time of the fabric product in a target area, the regional environment data and the test environment data in the test time subset; accurately identifies the fabric performance coefficient of the fabric product in a specific use scenario through the fabric use weight data, the fabric interception data and the fabric resistance data.

[0054] Embodiment 2 The present invention provides a method for testing the UV resistance of high-performance outdoor sunshade fabrics, which can accurately identify the UV resistance of fabric products according to the use area factors of the fabric products. A beach parasol is used as a fabric product to perform a UV resistance test in a specific embodiment.

[0055] S10. Identify and obtain fabric product parameters, including fabric material parameters and fabric structure parameters.

[0056] The fabric material parameters include yarn type, yarn twist, yarn diameter and weaving density; The fabric structural parameters include fabric density, fabric thickness, elastic modulus, damping characteristics, surface friction coefficient, air permeability parameters, bending stiffness, and shear stiffness.

[0057] S20. Conduct ultraviolet testing on fabric products; during the test, collect environmental data to obtain test environment data; monitor the spatial movement state of the fabric products to obtain fabric state data; identify ultraviolet parameters above and below the fabric products to obtain ultraviolet test parameters; acquire inner and outer surface images of the fabric products to obtain fabric quality data.

[0058] The test environment data includes wind direction data, wind speed data, temperature data, humidity data and ultraviolet data; the fabric state data is a motion video image of the fabric.

[0059] Among them, the environmental data during the test can be set through the historical environmental data of the target area.

[0060] S30. Divide the test process according to the fabric status data to obtain test time subsets; identify fabric product parameters, test environment data, fabric status data, ultraviolet test parameters and fabric quality data within the test time subsets to obtain fabric interception data and fabric resistance data.

[0061] The process of dividing the test process according to the fabric status data and obtaining the test time subset is as follows: Construct a fabric state recognition model to identify fabric state data; According to the three-dimensional spatial data of the fabric in the fabric state data, the state mode of the fabric is identified; according to the time range of the fabric state mode, the test process is divided to obtain the test time subset.

[0062] The present invention constructs a fabric state recognition model to recognize fabric state data obtained in a test, and recognizes the state mode of a fabric product in a test process according to the three-dimensional spatial data of the fabric in the fabric state data; divides the test process according to the time range in which the fabric state mode is located to obtain a test time subset; thereby accurately dividing the test process according to the state mode of the fabric product, and facilitating accurate recognition of the fabric product in the state mode.

[0063] The identification process of the fabric interception data and the fabric resistance data is as follows: Constructing a fabric parameter recognition model, including a UV interception recognition layer and a UV resistance recognition layer; The ultraviolet interception identification layer identifies the ultraviolet test parameters, and obtains fabric interception data based on the difference in ultraviolet intensity above and below the fabric product, the difference in ultraviolet distribution below the fabric product, and the fabric product parameters, test environment data, and fabric status data within the test time subset; The fabric interception data is the interception data of ultraviolet rays by the fabric product under different state modes of the fabric; The ultraviolet resistance identification layer identifies the fabric quality data, and identifies the fabric resistance data according to the inner surface image identification of the fabric product, the outer surface image identification of the fabric product, the difference identification between the inner surface image and the outer surface image, and the fabric product parameters, test environment data, and fabric state data within the test time subset; The fabric resistance data is the resistance data of the fabric product to ultraviolet rays in different fabric status modes.

[0064] By identifying the fabric products on the beach, data table 1 is obtained. The fabric interception data includes the interception coefficient of the fabric products to ultraviolet rays in different state modes; the fabric resistance data includes the resistance coefficient of the fabric products to ultraviolet rays in different state modes.

[0065] Table 1 Fabric parameter identification data table

[0066] The present invention identifies the test process of a fabric product, identifies and divides it through fabric status data, and obtains a test time subset; identifies and obtains fabric interception data according to the difference in ultraviolet intensity above and below the fabric product, the difference in ultraviolet distribution below the fabric product, and in combination with fabric product parameters, test environment data, and fabric status data in the test time subset; identifies and obtains fabric resistance data according to inner surface image recognition of the fabric product, outer surface image recognition of the fabric product, difference recognition between inner surface image and outer surface image, and fabric product parameters, test environment data, and fabric status data in the test time subset; and can accurately identify the interception and resistance capabilities of fabric products to ultraviolet rays.

[0067] S40. Identify the usage time and regional environmental data of fabric products in the target area, and obtain fabric usage weight data by combining the test environment data in the test time subset.

[0068] The identification process of the fabric usage weight data is as follows: According to the usage of fabric products, the fabric usage time is divided and weighted to obtain usage time subsets and usage time weights; The usage time of fabric products in the target area is identified, which is from 7:00 a.m. to 8:00 p.m. every day. According to the frequency of use and the number of users during the use period, the time subset and time weight are determined, and the data obtained are shown in Table 2.

[0069] Table 2 Time subset and time weight data table

[0070] Predicting regional environmental data within a usage time subset based on historical data to obtain predicted environmental data; Identify and divide the predicted environment data through the test environment data in the test time subset to obtain the predicted environment data subset, and determine the fabric state mode corresponding to the predicted environment data subset; According to the occurrence frequency of fabric status patterns during fabric use time, and the similarity between the prediction environment data subset and the test environment data in the test time subset, fabric interception weight data and fabric resistance weight data are identified.

[0071] Taking the time subset 13:00-18:00 as an example, the predicted environment data subset is identified and divided to obtain data table 3. The environmental similarity is the maximum similarity between the predicted environment data subset and the test environment data in the test time subset, and the fabric pattern and the corresponding weight data are determined based on this.

[0072] Table 3 Time subset partition data table

[0073] According to the fabric interception weight data and the fabric resistance weight data, the fabric usage weight data is identified and obtained.

[0074] The present invention identifies the area where a fabric product is put into use, and obtains the use time and regional environmental data of the fabric product; divides the fabric use time according to the use situation of the fabric product and assigns weights to obtain use time subsets and use time weights; identifies a predicted environment data subset, and determines a fabric state mode corresponding to the predicted environment data subset; identifies fabric interception weight data and fabric resistance weight data according to the occurrence frequency of the fabric state mode within the fabric use time, and the similarity between the predicted environment data subset and the test environment data in the test time subset; thereby accurately identifying the difference between the test environment and the target environment of the fabric product, and setting weights according to the difference and the use situation.

[0075] S50. Obtain fabric performance coefficient through fabric usage weight data, fabric interception data and fabric resistance data.

[0076] The present invention identifies fabric product parameters, then performs ultraviolet testing and data collection on the fabric product to obtain test environment data, fabric status data, ultraviolet test parameters and fabric quality data; divides the test time subset according to the fabric status data; identifies the fabric product parameters, test environment data, fabric status data, ultraviolet test parameters and fabric quality data in the test time subset to obtain fabric interception data and fabric resistance data; obtains fabric use weight data according to the use time of the fabric product in a target area, the regional environment data and the test environment data in the test time subset; accurately identifies the fabric performance coefficient of the fabric product in a specific use scenario through the fabric use weight data, the fabric interception data and the fabric resistance data.

[0077] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for testing the anti-ultraviolet performance of high-performance outdoor sunshade fabrics, characterized in that: include: S10. Identify the fabric product and obtain fabric product parameters, including fabric material parameters and fabric structure parameters; S20. Perform ultraviolet testing on fabric products; during the testing process, collect environmental data to obtain test environment data; monitor the spatial motion state of fabric products to obtain fabric state data; identify ultraviolet parameters above and below the fabric products to obtain ultraviolet test parameters; obtain inner and outer surface images of fabric products to obtain fabric quality data; S30. Divide the test process according to the fabric status data to obtain a test time subset; identify the fabric product parameters, test environment data, fabric status data, UV test parameters and fabric quality data within the test time subset to obtain fabric interception data and fabric resistance data; S40. Identify the usage time and regional environmental data of fabric products in the target area, and obtain fabric usage weight data by combining the test environment data in the test time subset; S50. Obtain fabric performance coefficient through fabric usage weight data, fabric interception data and fabric resistance data.

2. A method for testing the anti-ultraviolet performance of high-performance outdoor sunshade fabrics according to claim 1, characterized in that: The fabric material parameters include yarn type, yarn twist, yarn diameter and weaving density; The fabric structural parameters include fabric density, fabric thickness, elastic modulus, damping characteristics, surface friction coefficient, air permeability parameters, bending stiffness and shear stiffness.

3. The method for testing the anti-ultraviolet performance of high-performance outdoor sunshade fabric according to claim 1, characterized in that: The test environment data includes wind direction data, wind speed data, temperature data, humidity data and ultraviolet data; the fabric state data is a motion video image of the fabric.

4. The method for testing the anti-ultraviolet performance of high-performance outdoor sunshade fabric according to claim 1, characterized in that: The process of dividing the test process according to the fabric status data and obtaining the test time subset is as follows: Construct a fabric state recognition model to identify fabric state data; The three-dimensional spatial data of the fabric is obtained according to the fabric state data identification; the state pattern of the fabric is identified through the three-dimensional spatial data of the fabric; the test process is divided according to the time range of the fabric state pattern to obtain the test time subset.

5. The method for testing the anti-ultraviolet performance of high-performance outdoor sunshade fabric according to claim 1, characterized in that: The identification process of the fabric interception data and the fabric resistance data is as follows: Constructing a fabric parameter recognition model, including a UV interception recognition layer and a UV resistance recognition layer; The ultraviolet interception identification layer identifies the ultraviolet test parameters, and obtains fabric interception data based on the difference in ultraviolet intensity above and below the fabric product, the difference in ultraviolet distribution below the fabric product, and the fabric product parameters, test environment data, and fabric status data within the test time subset; The fabric interception data is the interception data of ultraviolet rays by the fabric product under different state modes of the fabric; The ultraviolet resistance identification layer identifies the fabric quality data, and identifies the fabric resistance data according to the inner surface image identification of the fabric product, the outer surface image identification of the fabric product, the difference identification between the inner surface image and the outer surface image, and the fabric product parameters, test environment data, and fabric state data within the test time subset; The fabric resistance data is the resistance data of the fabric product to ultraviolet rays in different fabric status modes.

6. The method for testing the anti-ultraviolet performance of high-performance outdoor sunshade fabric according to claim 1, characterized in that: The identification process of the fabric usage weight data is as follows: According to the usage of fabric products, the fabric usage time is divided and weighted to obtain usage time subsets and usage time weights; Predicting regional environmental data within a usage time subset based on historical data to obtain predicted environmental data; Identify and divide the predicted environment data through the test environment data in the test time subset to obtain the predicted environment data subset, and determine the fabric state mode corresponding to the predicted environment data subset; According to the occurrence frequency of the fabric state mode during the fabric use time, the similarity between the prediction environment data subset and the test environment data in the test time subset, the fabric interception weight data and the fabric resistance weight data are identified; According to the fabric interception weight data and the fabric resistance weight data, the fabric usage weight data is identified and obtained.

7. A high-performance outdoor sunshade fabric anti-ultraviolet performance testing system, characterized in that: include: The fabric parameter acquisition module identifies the fabric product and obtains fabric product parameters; the fabric product parameters include fabric material parameters and fabric structure parameters; The fabric product testing module conducts ultraviolet testing on fabric products. During the testing process: environmental data is collected to obtain test environment data; the movement state of the fabric product is monitored to obtain fabric state data; ultraviolet parameters above and below the fabric product are identified to obtain ultraviolet test parameters; the inner and outer surface images of the fabric product are acquired to obtain fabric quality data; The test data identification module divides the test process according to the fabric status data to obtain the test time subset; identifies the fabric product parameters, test environment data, fabric status data, ultraviolet test parameters and fabric quality data in the test time subset to obtain the fabric interception data and fabric resistance data; Use the scenario analysis module to identify the usage time and regional environmental data of fabric products in the target area, and combine the test environment data in the test time subset to obtain the fabric usage weight data; The fabric performance identification module obtains the fabric performance coefficient through fabric usage weight data, fabric interception data and fabric resistance data.

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