Bionic energy-saving dyed fabric elasticity testing system and method based on human body engineering
By arranging flexible stress sensors on bionic energy-saving dyed fabrics, conducting multiple stress tests, and combining stress and deformation analysis models, the comprehensive elastic modulus is calculated, which solves the problem of limited comprehensiveness and accuracy in traditional testing methods, and achieves a more accurate evaluation of the elastic properties of fabrics.
Patent Information
- Application Number
- CN202510346747.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-03-24
- Publication Date
- 2025-04-22
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
The traditional bionic energy-saving dyed fabric elasticity testing method fails to fully consider the comprehensive analysis of the stress and deformation of the fabric under multiple stresses, resulting in limited comprehensiveness and accuracy of the test.
Using an ergonomic energy-saving dyed fabric elastic testing system based on ergonomic engineering, the fabric is stretched, twisted, folded and synchronized to obtain stress data and deformation data. Then, based on the fabric stress analysis model and deformation analysis model, data are identified and processed, stress characteristics and deformation characteristics are extracted, the first elastic modulus and the second elastic modulus are calculated, and the comprehensive analysis is finally obtained.
By comprehensively analyzing the stress and deformation of the fabric, the comprehensiveness and accuracy of the elasticity test of bionic energy-saving dyed fabrics is improved, and more accurate elastic performance evaluation is provided.
Smart Images
Figure CN119860984A_ABST
Abstract
Description
Technical Field
[0001] The invention relates to the technical field of fabric elasticity testing, and in particular to a bionic energy-saving dyeing fabric elasticity testing system and method based on human body engineering. Background Art
[0002] Bionic energy-saving dyed fabrics imitate the biological characteristics and mechanisms in nature. During the dyeing process of the fabrics, they use technologies such as low-temperature dyeing, photosensitive color change and temperature control adaptation, which not only reduces environmental pollution but also reduces energy consumption in the dyeing process.
[0003] The elasticity of bionic energy-saving dyeing fabrics is a key consideration, which directly affects the user's wearing comfort and experience. The traditional elasticity test method of bionic energy-saving dyeing fabrics does not fully consider the comprehensive analysis of stress and deformation of bionic energy-saving dyeing fabrics under multiple forces such as stretching, torsion or folding, resulting in limited comprehensiveness and accuracy of bionic energy-saving dyeing fabric elasticity testing.
[0004] Therefore, a bionic energy-saving dyeing fabric elasticity testing system and method based on ergonomics is proposed. Summary of the invention
[0005] The purpose of the present invention is to provide a bionic energy-saving dyeing fabric elasticity testing system and method based on ergonomics. The present invention arranges flexible stress sensors in the horizontal and vertical directions of the fabric through a sensor arrangement module, stretches, twists, folds and synchronously operates the fabric to obtain corresponding stress data and deformation data; the first elasticity testing module identifies and processes the fabric stress data based on the fabric stress analysis model, extracts the first stress feature, and obtains the first elastic modulus; the second elasticity testing module identifies the fabric deformation data through the fabric deformation analysis model, extracts the second deformation feature, and obtains the second elastic modulus. Finally, the comprehensive elasticity analysis module obtains the comprehensive elastic modulus based on the first elastic modulus and the second elastic modulus. The present invention obtains the comprehensive elastic modulus by comprehensively analyzing the stress and deformation of the fabric, thereby improving the comprehensiveness and accuracy of the elasticity test of the bionic energy-saving dyeing fabric.
[0006] To achieve the above object, the present invention provides the following technical solutions: The bionic energy-saving dyeing fabric elasticity testing system based on ergonomics includes: A sensor arrangement module is used to arrange flexible stress sensors in the horizontal and vertical directions of the bionic energy-saving dyeing fabric respectively; and perform multiple individual stretching, individual twisting, individual folding and synchronous operations on the fabric respectively; the synchronous operation includes simultaneous stretching, twisting and folding operations; and obtain first fabric stress data and second fabric deformation data; A first elasticity testing module is used to construct a fabric stress analysis model to identify the first fabric stress data, obtain a first stress feature, and obtain a first elastic modulus according to the first stress feature; A second elasticity testing module is used to construct a fabric deformation analysis model to identify the second fabric deformation data, obtain a second deformation feature, and obtain a second elastic modulus according to the second deformation feature; The comprehensive elasticity analysis module is used to obtain the comprehensive elastic modulus according to the first elastic modulus and the second elastic modulus.
[0007] Preferably, the first fabric stress data is acquired through a flexible stress sensor; the first fabric stress data includes a first tensile stress; a first torsional stress, a first folding stress and a first multi-dimensional stress; the second fabric deformation data is acquired through a laser; the second fabric deformation data includes a first tensile displacement; a first torsional displacement, a first folding displacement and a first multi-dimensional displacement.
[0008] Preferably, the fabric stress analysis model includes a stress data input layer, a stress feature extraction layer, a stress feature analysis layer and a first elastic modulus output layer; the stress data input layer is used to input the first fabric stress data into the fabric stress analysis model; the stress feature extraction layer is used to extract stress features from the first fabric stress data through LSTM to obtain first stress features; the first stress features include average tensile stress, average torsional stress, average folding stress and average multidimensional stress; the stress feature analysis layer is used to obtain a first elastic modulus based on the first stress features; the first elastic modulus output layer is used to output the first elastic modulus.
[0009] Preferably, the fabric deformation analysis model includes a deformation data input layer, a deformation feature extraction layer, a deformation feature analysis layer and a second elastic modulus output layer; the deformation data input layer is used to input the second fabric deformation data into the fabric deformation analysis model; the deformation feature extraction layer is used to extract the deformation features of the second fabric deformation data through LSTM to obtain the second deformation feature; the second deformation feature includes the average tensile displacement; the average torsional displacement, the average folding displacement and the average multidimensional displacement; the deformation feature analysis layer is used to obtain the first elastic modulus according to the second deformation feature; the second elastic modulus output layer is used to output the second elastic modulus.
[0010] Preferably, the comprehensive elastic modulus is: ; in, represents the comprehensive elastic modulus; represents the first elastic modulus influence coefficient; represents the first elastic modulus; represents the second elastic modulus influence coefficient; represents the second elastic modulus.
[0011] The elasticity test method of bionic energy-saving dyed fabrics based on ergonomics includes: S1. Flexible stress sensors are arranged in the horizontal and vertical directions of the bionic energy-saving dyeing fabric; and the fabric is stretched, twisted, folded and synchronized for multiple times; the synchronized operation includes stretching, twisting and folding at the same time; and the first fabric stress data and the second fabric deformation data are obtained; S2. constructing a fabric stress analysis model to identify the first fabric stress data, obtain a first stress characteristic, and obtain a first elastic modulus according to the first stress characteristic; S3. Constructing a fabric deformation analysis model, identifying the second fabric deformation data, obtaining a second deformation feature, and obtaining a second elastic modulus according to the second deformation feature; S4. Obtain a comprehensive elastic modulus according to the first elastic modulus and the second elastic modulus.
[0012] Preferably, the first fabric stress data is acquired through a flexible stress sensor; the first fabric stress data includes a first tensile stress; a first torsional stress, a first folding stress and a first multi-dimensional stress; the second fabric deformation data is acquired through a laser; the second fabric deformation data includes a first tensile displacement; a first torsional displacement, a first folding displacement and a first multi-dimensional displacement.
[0013] Preferably, the comprehensive elastic modulus is: ; in, represents the comprehensive elastic modulus; represents the first elastic modulus influence coefficient; represents the first elastic modulus; represents the second elastic modulus influence coefficient; represents the second elastic modulus.
[0014] Compared with the prior art, the present invention has the following beneficial effects: 1. The present invention performs multiple separate stretching, separate twisting, separate folding and synchronous operations on the fabric, wherein the synchronous operation includes simultaneous stretching, twisting and folding operations; and obtains first fabric stress data and second fabric deformation data; constructs a fabric stress analysis model to identify the first fabric stress data, obtains a first stress characteristic, and obtains a first elastic modulus based on the first stress characteristic; and lays a data foundation for realizing comprehensive and accurate elastic testing of bionic energy-saving dyeing fabrics, thereby improving the comprehensiveness and accuracy of the elastic testing of bionic energy-saving dyeing fabrics.
[0015] 2. The present invention identifies the second fabric deformation data by constructing a fabric deformation analysis model to obtain a second deformation feature, and obtains a second elastic modulus based on the second deformation feature; the second deformation feature includes average tensile displacement; average torsional displacement, average folding displacement and average multidimensional displacement; it lays a data foundation for realizing comprehensive and accurate elastic testing of bionic energy-saving dyeing fabrics, thereby improving the comprehensiveness and accuracy of elastic testing of bionic energy-saving dyeing fabrics.
[0016] 3. The present invention performs a comprehensive analysis based on the first elastic modulus and the second elastic modulus to obtain a comprehensive elastic modulus, which comprehensively and effectively analyzes the stress characteristics and deformation characteristics of the bionic energy-saving dyeing fabric, thereby improving the comprehensiveness and accuracy of the elasticity test of the bionic energy-saving dyeing fabric. BRIEF DESCRIPTION OF THE DRAWINGS
[0017] Figure 1 A schematic diagram of the structure of a bionic energy-saving dyed fabric elasticity testing system based on human body engineering provided by an embodiment of the present invention; Figure 2 A structural schematic diagram of a fabric stress analysis model provided by an embodiment of the present invention; Figure 3 A structural schematic diagram of a fabric deformation analysis model provided by an embodiment of the present invention; Figure 4 A schematic flow chart of a method for testing elasticity of bionic energy-saving dyed fabrics based on ergonomics provided in an embodiment of the present invention. 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 A bionic energy-saving dyeing fabric In order to improve the comprehensiveness and accuracy of elasticity testing, a bionic energy-saving dyeing fabric elasticity testing system based on ergonomics is applied; Reference Figure 1 , which is a schematic structural diagram of a bionic energy-saving dyeing fabric elasticity testing system based on human body engineering provided by an embodiment of the present invention, comprising: A sensor arrangement module is used to arrange flexible stress sensors in the horizontal and vertical directions of the bionic energy-saving dyeing fabric respectively; and perform multiple individual stretching, individual twisting, individual folding and synchronous operations on the fabric respectively; the synchronous operation includes simultaneous stretching, twisting and folding operations; and obtain first fabric stress data and second fabric deformation data; Furthermore, by putting the clothes of bionic energy-saving dyed fabric A on the tester, the tester first performs a stretching operation by extending the arms for multiple times with the same amplitude, and records the stress and deformation data of the fabric for multiple times; then, the tester performs a waist rotation for multiple times with the same amplitude to achieve a fabric twist, and records the stress and deformation data of the fabric for multiple times; then, the tester performs a knee bending for multiple times with the same amplitude to achieve a folding operation, and records the stress and deformation data of the fabric for multiple times; finally, the tester stretches the arms, rotates the waist and bends the knees at the same time, and records the stress and deformation data of the fabric for multiple times; finally, the first fabric stress data and the second fabric deformation data are obtained; A first elasticity testing module is used to construct a fabric stress analysis model to identify the first fabric stress data, obtain a first stress feature, and obtain a first elastic modulus according to the first stress feature; Furthermore, the first fabric stress data is acquired through a flexible stress sensor; the first fabric stress data includes a first tensile stress; a first torsional stress, a first folding stress and a first multi-dimensional stress; the second fabric deformation data is acquired through a laser; the second fabric deformation data includes a first tensile displacement; a first torsional displacement, a first folding displacement and a first multi-dimensional displacement.
[0020] Furthermore, the fabric stress analysis model includes a stress data input layer, a stress feature extraction layer, a stress feature analysis layer and a first elastic modulus output layer; the stress data input layer is used to input the first fabric stress data into the fabric stress analysis model; the stress feature extraction layer is used to extract stress features from the first fabric stress data through LSTM to obtain first stress features; the first stress features include average tensile stress, average torsional stress, average folding stress and average multidimensional stress; the stress feature analysis layer is used to obtain a first elastic modulus according to the first stress features; the first elastic modulus output layer is used to output the first elastic modulus; Figure 2 A structural schematic diagram of a fabric stress analysis model provided by an embodiment of the present invention; The first elastic modulus is: ; in, represents the first elastic modulus; represents the reference elastic modulus; represents the tensile stress influence coefficient; represents the average tensile stress; represents the reference mean tensile stress; represents the torsional stress influence coefficient; represents the average torsional stress; represents the reference mean torsional stress; represents the folding stress influence coefficient; represents the average folding stress; represents the reference mean folding stress; represents the multidimensional stress influence coefficient; represents the average multidimensional stress; represents the reference average multidimensional stress; Furthermore, the reference average tensile stress, the reference average torsional stress, the reference average folding stress and the reference average multi-dimensional stress are obtained by testing the standard A bionic energy-saving dyeing fabric; The multidimensional stress represents a composite result of multiple stress components, and the stress components include tensile stress, folding stress and torsional stress; This embodiment performs multiple separate stretching, separate twisting, separate folding and synchronous operations on the fabric, wherein the synchronous operation includes simultaneous stretching, twisting and folding operations; obtains first fabric stress data and second fabric deformation data; constructs a fabric stress analysis model to identify the first fabric stress data, obtains a first stress characteristic, and obtains a first elastic modulus based on the first stress characteristic; lays a data foundation for realizing comprehensive and accurate elastic testing of bionic energy-saving dyeing fabrics, thereby improving the comprehensiveness and accuracy of the elastic testing of bionic energy-saving dyeing fabrics.
[0021] A second elasticity testing module is used to construct a fabric deformation analysis model to identify the second fabric deformation data, obtain a second deformation feature, and obtain a second elastic modulus according to the second deformation feature; Furthermore, the fabric deformation analysis model includes a deformation data input layer, a deformation feature extraction layer, a deformation feature analysis layer and a second elastic modulus output layer; the deformation data input layer is used to input the second fabric deformation data into the fabric deformation analysis model; the deformation feature extraction layer is used to extract the deformation features of the second fabric deformation data through LSTM to obtain the second deformation feature; the second deformation feature includes the average tensile displacement; the average torsional displacement, the average folding displacement and the average multidimensional displacement; the deformation feature analysis layer is used to obtain the first elastic modulus according to the second deformation feature; the second elastic modulus output layer is used to output the second elastic modulus; Figure 3 A structural schematic diagram of a fabric deformation analysis model provided by an embodiment of the present invention; The second elastic modulus is: ; in, represents the second elastic modulus; represents the reference elastic modulus; represents the tensile displacement influence coefficient; represents the average tensile displacement; represents the reference mean tensile displacement; represents the torsional displacement influence coefficient; represents the average torsional displacement; represents the reference mean torsional displacement; represents the folding displacement influence coefficient; represents the average folding displacement; represents the reference mean folding displacement; represents the multi-dimensional displacement influence coefficient; represents the average multidimensional displacement; represents the reference mean multidimensional displacement; Furthermore, the reference average tensile displacement, the reference average torsional displacement, the reference average folding displacement and the reference average multi-dimensional displacement are obtained by testing the standard A bionic energy-saving dyeing fabric; The multi-dimensional displacement represents a composite result of multiple displacement components, and the displacement components include stretching displacement, folding displacement and torsional displacement; This embodiment identifies the second fabric deformation data by constructing a fabric deformation analysis model to obtain a second deformation feature, and obtains a second elastic modulus based on the second deformation feature; the second deformation feature includes average tensile displacement; average torsional displacement, average folding displacement and average multidimensional displacement; and lays a data foundation for realizing comprehensive and accurate elastic testing of bionic energy-saving dyeing fabrics, thereby improving the comprehensiveness and accuracy of the elastic testing of bionic energy-saving dyeing fabrics.
[0022] A comprehensive elasticity analysis module, used for obtaining a comprehensive elastic modulus according to the first elastic modulus and the second elastic modulus; Furthermore, the comprehensive elastic modulus is: ; in, represents the comprehensive elastic modulus; represents the first elastic modulus influence coefficient; represents the first elastic modulus; represents the second elastic modulus influence coefficient; represents the second elastic modulus.
[0023] In order to verify the effectiveness of the ergonomically-based bionic energy-saving dyeing fabric elasticity testing system provided in this embodiment, the average accuracy of elasticity testing of multiple A bionic energy-saving dyeing fabrics by different systems is compared; the different systems include system 1, system 2 and system 3; system 1 is the ergonomically-based bionic energy-saving dyeing fabric elasticity testing system provided in this embodiment; system 2 is the fabric stress analysis based on system 1 without considering the fabric; system 3 is the fabric deformation analysis based on system 1 without considering the fabric; the specific comparison of the average accuracy of elasticity testing of different systems is shown in Table 1; Table 1 Comparison of the average accuracy of different systems for elasticity tests of multiple A bionic energy-saving dyed fabrics
[0024] It can be seen from Table 1 that the ergonomically-based bionic energy-saving dyed fabric elasticity testing system provided in this embodiment has certain effectiveness.
[0025] This embodiment performs a comprehensive analysis based on the first elastic modulus and the second elastic modulus to obtain a comprehensive elastic modulus, which comprehensively and effectively analyzes the stress characteristics and deformation characteristics of the bionic energy-saving dyeing fabric, thereby improving the comprehensiveness and accuracy of the elasticity test of the bionic energy-saving dyeing fabric.
[0026] In this embodiment, the sensor arrangement module arranges flexible stress sensors in the horizontal and vertical directions of the fabric, stretches, twists, folds and synchronously operates the fabric to obtain corresponding stress data and deformation data; the first elastic test module identifies and processes the fabric stress data based on the fabric stress analysis model, extracts the first stress feature, and obtains the first elastic modulus; the second elastic test module identifies the fabric deformation data through the fabric deformation analysis model, extracts the second deformation feature, and obtains the second elastic modulus; the comprehensive elastic analysis module obtains the comprehensive elastic modulus based on the first elastic modulus and the second elastic modulus. The present invention obtains the comprehensive elastic modulus by comprehensively analyzing the stress and deformation of the fabric, thereby improving the comprehensiveness and accuracy of the elasticity test of the bionic energy-saving dyeing fabric.
[0027] Embodiment 2 B. Bionic Energy-saving Dyeing Fabrics In order to improve the comprehensiveness and accuracy of elasticity testing, the elasticity testing method of bionic energy-saving dyeing fabrics based on ergonomics was applied; Reference Figure 4 A schematic flow chart of a method for testing elasticity of a bionic energy-saving dyed fabric based on human body engineering provided by an embodiment of the present invention includes: S1. Flexible stress sensors are arranged in the horizontal and vertical directions of the bionic energy-saving dyeing fabric; and the fabric is stretched, twisted, folded and synchronized for multiple times; the synchronized operation includes stretching, twisting and folding at the same time; and the first fabric stress data and the second fabric deformation data are obtained; Furthermore, by putting clothes made of B bionic energy-saving dyed fabric on the tester, the tester first performs a stretching operation by extending the arms for multiple times with the same amplitude, and records the stress and deformation data of the fabric for multiple times; then, the tester performs a waist rotation for multiple times with the same amplitude to achieve a fabric twist, and records the stress and deformation data of the fabric for multiple times; then, the tester performs a knee bending for multiple times with the same amplitude to achieve a folding operation, and records the stress and deformation data of the fabric for multiple times; finally, the tester simultaneously extends the arms, rotates the waist and bends the knees, and records the stress and deformation data of the fabric for multiple times; finally, the first fabric stress data and the second fabric deformation data are obtained; S2. constructing a fabric stress analysis model to identify the first fabric stress data, obtain a first stress characteristic, and obtain a first elastic modulus according to the first stress characteristic; Further, the first fabric stress data is obtained by a flexible stress sensor; the first fabric stress data includes a first tensile stress; a first torsional stress, a first folding stress and a first multi-dimensional stress; the second fabric deformation data is obtained by a laser; the second fabric deformation data includes a first tensile displacement; a first torsional displacement, a first folding displacement and a first multi-dimensional displacement; Furthermore, the fabric stress analysis model includes a stress data input layer, a stress feature extraction layer, a stress feature analysis layer and a first elastic modulus output layer; the stress data input layer is used to input the first fabric stress data into the fabric stress analysis model; the stress feature extraction layer is used to extract stress features from the first fabric stress data through LSTM to obtain first stress features; the first stress features include average tensile stress, average torsional stress, average folding stress and average multidimensional stress; the stress feature analysis layer is used to obtain a first elastic modulus according to the first stress features; the first elastic modulus output layer is used to output the first elastic modulus; Figure 2 A structural schematic diagram of a fabric stress analysis model provided by an embodiment of the present invention; The first elastic modulus is: ; in, represents the first elastic modulus; represents the reference elastic modulus; represents the tensile stress influence coefficient; represents the average tensile stress; represents the reference mean tensile stress; represents the torsional stress influence coefficient; represents the average torsional stress; represents the reference mean torsional stress; represents the folding stress influence coefficient; represents the average folding stress; represents the reference mean folding stress; represents the multidimensional stress influence coefficient; represents the average multidimensional stress; represents the reference average multidimensional stress; Furthermore, the reference average tensile stress, the reference average torsional stress, the reference average folding stress and the reference average multi-dimensional stress are obtained by testing the standard B bionic energy-saving dyeing fabric; The multidimensional stress represents a composite result of multiple stress components, and the stress components include tensile stress, folding stress and torsional stress; This embodiment performs multiple separate stretching, separate twisting, separate folding and synchronous operations on the fabric, wherein the synchronous operation includes simultaneous stretching, twisting and folding operations; obtains first fabric stress data and second fabric deformation data; constructs a fabric stress analysis model to identify the first fabric stress data, obtains a first stress characteristic, and obtains a first elastic modulus based on the first stress characteristic; lays a data foundation for realizing comprehensive and accurate elastic testing of bionic energy-saving dyeing fabrics, thereby improving the comprehensiveness and accuracy of the elastic testing of bionic energy-saving dyeing fabrics.
[0028] S3. Constructing a fabric deformation analysis model, identifying the second fabric deformation data, obtaining a second deformation feature, and obtaining a second elastic modulus according to the second deformation feature; Furthermore, the fabric deformation analysis model includes a deformation data input layer, a deformation feature extraction layer, a deformation feature analysis layer and a second elastic modulus output layer; the deformation data input layer is used to input the second fabric deformation data into the fabric deformation analysis model; the deformation feature extraction layer is used to extract the deformation features of the second fabric deformation data through LSTM to obtain the second deformation feature; the second deformation feature includes the average tensile displacement; the average torsional displacement, the average folding displacement and the average multidimensional displacement; the deformation feature analysis layer is used to obtain the first elastic modulus according to the second deformation feature; the second elastic modulus output layer is used to output the second elastic modulus; Figure 3 A structural schematic diagram of a fabric deformation analysis model provided by an embodiment of the present invention; The second elastic modulus is: ; in, represents the second elastic modulus; represents the reference elastic modulus; represents the tensile displacement influence coefficient; represents the average tensile displacement; represents the reference mean tensile displacement; represents the torsional displacement influence coefficient; represents the average torsional displacement; represents the reference mean torsional displacement; represents the folding displacement influence coefficient; represents the average folding displacement; represents the reference mean folding displacement; represents the multi-dimensional displacement influence coefficient; represents the average multidimensional displacement; represents the reference mean multidimensional displacement; Furthermore, the reference average tensile displacement, the reference average torsional displacement, the reference average folding displacement and the reference average multi-dimensional displacement are obtained by testing the standard B bionic energy-saving dyeing fabric; The multi-dimensional displacement represents a composite result of multiple displacement components, and the displacement components include stretching displacement, folding displacement and torsional displacement; This embodiment identifies the second fabric deformation data by constructing a fabric deformation analysis model to obtain a second deformation feature, and obtains a second elastic modulus according to the second deformation feature; the second deformation feature includes average tensile displacement; average torsional displacement, average folding displacement and average multi-dimensional displacement; and lays a data foundation for realizing comprehensive and accurate elasticity testing of bionic energy-saving dyeing fabrics, thereby improving the comprehensiveness and accuracy of elasticity testing of bionic energy-saving dyeing fabrics; S4. Obtaining a comprehensive elastic modulus according to the first elastic modulus and the second elastic modulus; Furthermore, the comprehensive elastic modulus is: ; in, represents the comprehensive elastic modulus; represents the first elastic modulus influence coefficient; represents the first elastic modulus; represents the second elastic modulus influence coefficient; represents the second elastic modulus; In order to verify the effectiveness of the bionic energy-saving dyeing fabric elasticity testing method based on ergonomics provided in this embodiment, the average accuracy of different methods for elasticity testing of multiple B bionic energy-saving dyeing fabrics is compared; the different methods include method 1, method 2 and method 3; method 1 is the bionic energy-saving dyeing fabric elasticity testing method based on ergonomics provided in this embodiment; method 2 is the analysis of fabric stress not considered on the basis of method 1; method 3 is the analysis of fabric deformation not considered on the basis of method 1; the specific comparison of the average accuracy of elasticity testing of different methods is shown in Table 2; Table 2 Comparison of the average accuracy of different methods for elasticity testing of multiple B bionic energy-saving dyed fabrics
[0029] It can be seen from Table 2 that the ergonomically based bionic energy-saving dyed fabric elasticity testing method provided in this embodiment has certain effectiveness.
[0030] This embodiment performs a comprehensive analysis based on the first elastic modulus and the second elastic modulus to obtain a comprehensive elastic modulus, which comprehensively and effectively analyzes the stress characteristics and deformation characteristics of the bionic energy-saving dyeing fabric, thereby improving the comprehensiveness and accuracy of the elasticity test of the bionic energy-saving dyeing fabric.
[0031] In this embodiment, the sensor arrangement module arranges flexible stress sensors in the horizontal and vertical directions of the fabric, stretches, twists, folds and synchronously operates the fabric to obtain corresponding stress data and deformation data; the first elastic test module identifies and processes the fabric stress data based on the fabric stress analysis model, extracts the first stress feature, and obtains the first elastic modulus; the second elastic test module identifies the fabric deformation data through the fabric deformation analysis model, extracts the second deformation feature, and obtains the second elastic modulus; the comprehensive elastic analysis module obtains the comprehensive elastic modulus based on the first elastic modulus and the second elastic modulus. The present invention obtains the comprehensive elastic modulus by comprehensively analyzing the stress and deformation of the fabric, thereby improving the comprehensiveness and accuracy of the elasticity test of the bionic energy-saving dyeing fabric.
[0032] 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. The bionic energy-saving dyeing fabric elasticity testing system based on ergonomics is characterized by: include: A sensor arrangement module, used for arranging flexible stress sensors in the horizontal and vertical directions of the bionic energy-saving dyeing fabric; and performing multiple individual stretching, individual twisting, individual folding and synchronous operations on the fabric; the synchronous operation includes performing stretching, twisting and folding operations simultaneously; and obtaining first fabric stress data and second fabric deformation data; A first elasticity testing module is used to construct a fabric stress analysis model to identify the first fabric stress data, obtain a first stress feature, and obtain a first elastic modulus according to the first stress feature; A second elasticity testing module is used to construct a fabric deformation analysis model to identify the second fabric deformation data, obtain a second deformation feature, and obtain a second elastic modulus according to the second deformation feature; The comprehensive elasticity analysis module is used to obtain the comprehensive elastic modulus according to the first elastic modulus and the second elastic modulus.
2. The human body engineering-based bionic energy-saving dyeing fabric elasticity testing system according to claim 1 is characterized by: The first fabric stress data is obtained through a flexible stress sensor; the first fabric stress data includes a first tensile stress, a first torsional stress, a first folding stress and a first multi-dimensional stress; The second fabric deformation data is acquired by laser; the second fabric deformation data includes a first stretching displacement, a first torsion displacement, a first folding displacement and a first multi-dimensional displacement.
3. The human body engineering-based bionic energy-saving dyeing fabric elasticity testing system according to claim 1 is characterized by: The fabric stress analysis model includes a stress data input layer, a stress feature extraction layer, a stress feature analysis layer and a first elastic modulus output layer; The stress data input layer is used to input the first fabric stress data into the fabric stress analysis model; The stress feature extraction layer is used to extract stress features from the first fabric stress data through LSTM to obtain a first stress feature; The first stress characteristics include average tensile stress, average torsional stress, average folding stress and average multidimensional stress; The stress characteristic analysis layer is used to obtain a first elastic modulus according to the first stress characteristic; The first elastic modulus output layer is used to output the first elastic modulus.
4. The human body engineering-based bionic energy-saving dyeing fabric elasticity testing system according to claim 1 is characterized by: The fabric deformation analysis model includes a deformation data input layer, a deformation feature extraction layer, a deformation feature analysis layer and a second elastic modulus output layer; the deformation data input layer is used to input the second fabric deformation data into the fabric deformation analysis model; the deformation feature extraction layer is used to extract the deformation features of the second fabric deformation data through LSTM to obtain the second deformation feature; the second deformation feature includes the average tensile displacement; the average torsional displacement, the average folding displacement and the average multi-dimensional displacement; the deformation feature analysis layer is used to obtain the first elastic modulus according to the second deformation feature; The second elastic modulus output layer is used for outputting the second elastic modulus.
5. The human body engineering-based bionic energy-saving dyeing fabric elasticity testing system according to claim 1 is characterized by: The comprehensive elastic modulus is: ； in, represents the comprehensive elastic modulus; represents the first elastic modulus influence coefficient; represents the first elastic modulus; represents the second elastic modulus influence coefficient; represents the second elastic modulus.
6. A bionic energy-saving dyeing fabric elasticity test method based on human body engineering, characterized in that: include: S1. Arrange flexible stress sensors in the horizontal and vertical directions of the bionic energy-saving dyeing fabric; and performing multiple individual stretching, individual twisting, individual folding and synchronous operations on the fabric; the synchronous operation includes performing stretching, twisting and folding operations simultaneously; and obtaining first fabric stress data and second fabric deformation data; S2. constructing a fabric stress analysis model to identify the first fabric stress data, obtain a first stress characteristic, and obtain a first elastic modulus according to the first stress characteristic; S3. Constructing a fabric deformation analysis model, identifying the second fabric deformation data, obtaining a second deformation feature, and obtaining a second elastic modulus according to the second deformation feature; S4. Obtain a comprehensive elastic modulus according to the first elastic modulus and the second elastic modulus.
7. The method for testing elasticity of bionic energy-saving dyed fabrics based on human body engineering according to claim 6, characterized in that: The first fabric stress data is obtained through a flexible stress sensor; the first fabric stress data includes a first tensile stress, a first torsional stress, a first folding stress and a first multi-dimensional stress; The second fabric deformation data is acquired by laser; the second fabric deformation data includes a first stretching displacement, a first torsion displacement, a first folding displacement and a first multi-dimensional displacement.
8. The method for testing elasticity of bionic energy-saving dyed fabrics based on human body engineering according to claim 6, characterized in that: The comprehensive elastic modulus is: ； in, represents the comprehensive elastic modulus; represents the first elastic modulus influence coefficient; represents the first elastic modulus; represents the second elastic modulus influence coefficient; represents the second elastic modulus.