CN108181987A - A kind of textile cognitive method based on virtual reality - Google Patents
A kind of textile cognitive method based on virtual reality Download PDFInfo
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- G01N3/00—Investigating strength properties of solid materials by application of mechanical stress
- G01N3/08—Investigating strength properties of solid materials by application of mechanical stress by applying steady tensile or compressive forces
- G01N3/16—Investigating strength properties of solid materials by application of mechanical stress by applying steady tensile or compressive forces applied through gearing
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- G06F3/016—Input arrangements with force or tactile feedback as computer generated output to the user
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Abstract
The invention discloses a kind of textile cognitive methods based on virtual reality, include the following steps：Test the tactile qualities of textile, obtain dynamic compression characteristics, surface friction characteristics, flexural property and the dynamic thermal transmission characteristic of textile, and record and store the data for characterizing the tactile qualities, as objective examination as a result, setting multinomial objective evaluation index for objective examination's result；Subjective perception test is carried out to the subjective sensation index of various textiles according to the crowd of different age group, different sexes and questionnaire survey, gathered data obtain subjective test results；Using the objective evaluation index of textile as input layer, using the subjective sensation index of different crowd as output layer, subjective sensation prediction neural network model is established according to subjective test results and objective examination's result；According to the objective examination of textile as a result, determining the type of textile, so as to obtain the subjective test results of the type textile and corresponding crowd, subjective sensation predicted value is obtained.
Description
Technical field
The present invention relates to intelligent terminal technical field, specifically a kind of textile perception side based on virtual reality
Method.
Background technology
In the prior art, virtual reality is applied in multiple fields, especially visually has larger
Development and application, but in tactilely-perceptible field, then there has been no substances to contribute.By taking the net purchase of textile as an example, net purchase is in side
While persons who happens to be on hand for an errand buy the household items such as textile, but there are still many restraining factors, such as：Its sense of touch can not remotely be perceived
The problems such as feeling and comfort, visual effect have differences.Consumer also usually can be because of the textile product to being bought
Sense of touch feel and comfort be unsatisfied with and select to return goods or exchange goods, reduce the efficiency of shopping.Therefore pass through virtual reality
Terminal realizes that the method for really perceiving product characteristics in shopping at network medium-long range is of great significance to the change of net purchase mode.
With the continuous development of virtual reality technology, its application range is also constantly expanding.It is used in shopping at network
Virtual reality technology is also the direction of development.In document " web DSS approach to building an intelligent
internet shopping mall by integrating virtual reality and avatar”(Kun Chang
Lee, Namho Chung, In Expert Systems with Applications, 2005 (2)：It is reported in 333-346)
A kind of shopping at network decision-making mechanism system for system being supported to be combined using virtual reality and network decision.Chinese patent CN
106651511 A disclose a kind of purchase method and system based on virtual reality, and this method is by establishing the corresponding purchase of user
Object model arranges in pairs or groups the clothing that user selects to the Shopping Model, and display effect is presented to carry by virtual reality device
Show user so that user can simulate in net purchase and try selected clothing on, and the effect tried on further according to simulation decides whether
Purchase.But this method is only applicable to virtually judge whether clothing is dimensionally suitable, and there is no realization consumers to touch textile
The perception with comfort is felt in sense.
It can be seen that the prior art can not also realize the tactilely-perceptible to textile by virtual reality technology, also just limit
Experience of the people in net purchase textile is made.
Invention content
In view of this, the present invention existing textile feel characteristic and the comfort of can not perceiving for the above-mentioned prior art
Technical problem provides a kind of textile cognitive method based on virtual reality realized product tactile qualities and remotely perceived, with
Promote the sense of touch experience of the application scenarios such as net purchase textile.
The technical solution of the present invention is to provide a kind of textile cognitive method based on virtual reality, including following
Step：
Test the tactile qualities of textile, obtain the dynamic compression characteristics of textile, surface friction characteristics, flexural property with
And dynamic thermal transmission characteristic, and record and store the data for characterizing the tactile qualities, as objective examination as a result, for described
Objective examination's result sets multinomial objective evaluation index；
Subjective perception survey is carried out to the subjective sensation index of various textiles according to the crowd of different age group, different sexes
Examination and questionnaire survey, gathered data obtain subjective test results；
Using the objective evaluation index of textile as input layer, using the subjective sensation index of different crowd as output layer,
Subjective sensation prediction neural network model is established according to subjective test results and objective examination's result；
According to the objective examination of textile as a result, the type of textile is determined, so as to obtain the type textile and correspondence
The subjective test results of crowd obtain subjective sensation quantized value.
As optional, according to the subjective sensation quantized value of the textile, by the virtual existing of sense of touch sensory transmission to user
Real terminal realizes long-range perception of the user to textile subjective sensation.
Refer to as optional, described multinomial objective evaluation index, maximum deflection load, compression stage bending work(, rebound
Stage bending work(, work done during compression, compression rebound work(, compression rebound ratio, confficient of static friction FS, frictional work, coefficient of kinetic friction FD, it is maximum
Heat flow, hot mental impression intensity, thermal conditioning time, dynamic regulation time and static thermal resistance；Based on a variety of textile material samples
This objective examination is as a result, be classified 14 objective evaluation indexs.
As optional, the subjective sensation index refers to, humidity, pliability, changes in temperature degree, smooth feeling and tingling sensation.
As optional, the subjective sensation predicted value is characterized by subjective sensation labeling on line, and user uses virtual
Non-real end is read out subjective sensation labeling on the line, realizes perception of the user to textile subjective sensation.
As optional, subjective sensation labeling is stored by big data common query platform, it is public that user accesses the big data
Searching platform altogether carries out Antiforge inquiry to the subjective sensation labeling.
As optional, objective examination's result is tested by textile feel test device and completed, the textile feel
Test device, including test suite, transmission mechanism, distortion power pallet and stent, the stent includes pedestal, guide post and stands
Column, the pedestal include support base and support plate, and the support plate upper vertical is equipped with guide post, and the guide post rear is parallel to be equipped with
Column, the transmission mechanism are mounted on column, and the test suite includes upper platen, pressing disc and test sensor,
The pressing disc is arranged on the top of the guide post, and the upper platen is arranged on the lower end of the transmission mechanism, is passed with passing through
Motivation structure drives the upper platen to move up and down.
Include pressure sensor A, pressure sensor B and heat flow transducer as optional, described test sensor, it is described
Pressure sensor A is located at the lower section of pressing disc, and the pressure sensor B is arranged in the rectangular recess on support base, the heat
Flow sensor is arranged on the pressing disc upper surface, and the upper platen is internally provided with heater strip, and the heater strip fits in described
On the backplate surface of upper platen.
As optional, the support base installation on the supporting plate, is equipped with distortion power support in the rectangular recess of the support base
Disk, the distortion power pallet are located at the outside of the pressing disc, and in the on-compressed state, the pressing disc is higher than the distortion power
Pallet.
As optional, textile sample is placed on pressing disc, is passed through heater strip and is heated reaching between upper and lower platen
After the temperature difference of setting, upper platen is begun to decline under transmission mechanism drive；When upper platen touch textile sample and continue to
During lower compression pressing disc, four weekly assembly of textile sample touches the distortion power pallet positioned at pressing disc surrounding, is now placed in pushing
Pressure sensor A below disk, the bending pressure sensor B in rectangular channel and the thermal-flow sensor positioned at pushing panel surface
Device proceeds by the real-time acquisition of data, is compressed, bending and the test of heat transfer characteristic, when pressure sensor A is examined
When measuring pressure and reaching expecting pressure, upper platen stops declining.
As optional, the test suite further includes surface friction characteristics test suite, the surface friction characteristics test
Component is set on platen, and the upper platen includes cavity plate and bottom plate, and the bottom plate is set to the bottom of cavity plate, described
Surface friction characteristics test suite is arranged on cavity plate, and the surface friction characteristics test suite includes sliding block, fixing sleeve, leads
Bar, ball-screw B, direct current generator and shaft coupling B, the sliding block are mounted in the groove of fixing sleeve, and the fixing sleeve is mounted on
In the cavity of the cavity plate of upper platen, the sliding block passes through bottom plate groove, and guide rod top is parallel to be equipped with ball-screw B, ball wire
Thick stick B one end is connected by shaft coupling B with direct current generator.
Using above method, compared with prior art, has the following advantages：The present invention can realize that user touches textile
The long-range perception of sense, its tactile characteristics and comfort are experienced by virtual reality, improve sense of touch experience.
Description of the drawings
Fig. 1 is the overview flow chart in the net purchase application of the textile cognitive method the present invention is based on virtual reality；
Fig. 2 is the interface schematic diagram of textile product subjective sensation labeling and anti-counterfeiting system in the present invention；
Fig. 3 is the overall structure figure of textile feel test device；
Fig. 4 is the structure diagram of compression property associated component；
Fig. 5 is the structure diagram of surface friction characteristics associated component；
Fig. 6 is the structure diagram of bending characteristic associated component；
Fig. 7 is the structure diagram of heat transfer characteristic associated component.
Shown in figure：Shown in Fig. 2：System sign L1, anti-fake two-dimension code F2, tingling sensation labeling B3, smooth feeling labeling B4,
Changes in temperature scale patch B5, pliability labeling B6, humidity labeling B7；
1st, upper platen, 2, pressing disc, 3, pressure sensor A, 4, guide post, 5, distortion power pallet, 6, pressure sensor B, 7,
Heater strip, 8, heat flow transducer, 9, stepper motor, 10, shaft coupling A, 11, support plate A, 12, ball-screw A, 13, column, 14,
Ball-screw B, 15, fixing sleeve, 16, guide rod, 17, sliding block, 18, direct current generator, 19, shaft coupling B, 20, support base, 21, weaving
Product sample, 22, cavity plate, 23, bottom plate, 24, bottom plate groove, 25, support plate B.
Specific embodiment
The invention will be further described in the following with reference to the drawings and specific embodiments.
The present invention covers any replacement, modification, equivalent method and scheme made in the spirit and scope of the present invention.For
The public is made to have thorough understanding to the present invention, is described in detail concrete details in present invention below preferred embodiment, and
Description without these details can also understand the present invention completely for a person skilled in the art.In addition, the attached drawing of the present invention
In for the needs of signal, not being drawn to scale accurately completely, be explained herein.
Refering to what is shown in Fig. 1, illustrating to apply the present invention to the flow diagram of net purchase, the present invention is based on the spinnings of virtual reality
Fabric cognitive method, includes the following steps：
Test the tactile qualities of textile, obtain the dynamic compression characteristics of textile, surface friction characteristics, flexural property with
And dynamic thermal transmission characteristic, and record and store the data for characterizing the tactile qualities, as objective examination as a result, for described
Objective examination's result sets multinomial objective evaluation index；
Subjective perception survey is carried out to the subjective sensation index of various textiles according to the crowd of different age group, different sexes
Examination and questionnaire survey, gathered data obtain subjective test results；
Using the objective evaluation index of textile as input layer, using the subjective sensation index of different crowd as output layer,
Subjective sensation prediction neural network model is established according to subjective test results and objective examination's result；
According to the objective examination of textile as a result, the type of textile is determined, so as to obtain the type textile and correspondence
The subjective test results of crowd obtain subjective sensation predicted value.
The present invention applies in net purchase, based on textile product virtual reality net purchase operation platform system, the textile
Product virtual reality net purchase operation platform system includes textile product subjective sensation quantization system, textile product subjective sensation
Labeling and anti-counterfeiting system, textile product virtual reality sensory perceptual system.
The textile product subjective sensation quantization system specifically includes a kind of device for testing textile feel characteristic,
The dynamic Contact process between textile and skin when clothes are worn can be simulated, and gets the mechanics in contact process and object
Signal dynamics change information is managed, wherein the dynamic-change information of the mechanics and physical signal includes：Textile and skin contact
Therebetween heat exchange in the process, friction, compressing and torsional forces of the textile to skin surface.The test weaving
The method and apparatus of product tactile qualities are recorded and are stored to data simultaneously, are realized and are measured weaving in an instrument system
Dynamic compression characteristics, surface friction characteristics, flexural property and the Dynamic Thermal of product transmit the characteristic of four dimensions.
The textile product subjective sensation quantization system is according to the method and apparatus for testing textile feel characteristic
Objective examination's data and curves of gained define 14 objective evaluation indexs in total of four dimensions characteristic, specifically include：It is maximum curved
Song load, compression stage bending work(, rebound stage bending work(, work done during compression, compression rebound work(, compression rebound ratio, confficient of static friction
FS, frictional work, coefficient of kinetic friction FD, maximum heat flow, hot mental impression intensity, the thermal conditioning time, the dynamic regulation time, static state
Thermal resistance.Objective examination based on a variety of textile material samples is as a result, carry out 14 objective evaluation indexs 9 grades of systems point
Each objective evaluation index according to the numerical value conversion of test result is grade point from 1 to 9 by grade.
The textile product subjective sensation quantization system passes through to different age group, different sexes, different native place, no
With professional crowd, to the humidity of various textiles, pliability, changes in temperature degree, smooth feeling and tingling sensation, this 5 kinds of subjective sensations refer to
Mark carries out subjective perception experiment and questionnaire survey, gathered data, obtains subjective test results, while pass through the test textile
The method and apparatus of tactile qualities carry out objective examination, obtain objective examination's result.
The textile product subjective sensation quantization system is using 14 objective indicators as input layer, with described 5
Subjective index establishes subjective sensation prediction neural network model as output layer according to subjective and objective examination's result.
The textile product subjective sensation labeling and anti-counterfeiting system are by the textile product subjective sensation quantization system
And objective examination is pasted the subjective sensation of textile product into line subscript, buyer can as a result, obtain subjective sensation predicted value
Comprehensive descision and decision are carried out according to the subjective labeling value.
The textile product subjective sensation labeling and anti-counterfeiting system are the common query platforms of a big data, Yong Huneng
Enough by the textile product subjective sensation labeling and anti-counterfeiting system, the Antiforge inquiry of labeling certification is carried out.
The textile product virtual reality sensory perceptual system can be by virtual reality terminal, according to the textile product
True sense of touch sensory transmission to consumer's virtual reality terminal is realized textile by the quantized value that subjective sensation quantization system measures
The long-range perception of product subjective sensation.
As shown in Fig. 2, illustrate the interface of textile product subjective sensation labeling and anti-counterfeiting system in the present invention.The mark
Patch and anti-counterfeiting system include：System sign (L1), anti-fake two-dimension code (F2) and tingling sensation labeling (B3), smooth feeling labeling
(B4), changes in temperature scale patch (B5), pliability labeling (B6), humidity labeling (B7) this 5 subjective sensation labelings.Wherein system mark
Will (L1) is the exclusive pictorial trademark (LOGO) of the subjective sensation labeling and anti-counterfeiting system.User is scanned described anti-using mobile phone
Pseudo- Quick Response Code (F2) can enter the anti-fake common query platform of a big data, can be to the system by the platform
The information at interface carries out Antiforge inquiry, so as to tell truth from falsehood.Buyer, can be according to the subjective sense in net purchase textile
Feel that labeling and 5 subjective sensation labeling block diagrams in anti-counterfeiting system and corresponding quantized value carry out the subjective sensation
Judge.
Specific implementation method is：First using test textile feel characteristic unit simulation clothes wear when textile with
Dynamic Contact process between skin, and the mechanics in contact process and physical signal dynamic-change information are obtained, while logarithm
According to being recorded and being stored, the dynamic compression characteristics, surface friction characteristics, flexural property and the Dynamic Thermal that measure textile transmit
The characteristic of four dimensions.And define 14 objective evaluations according to objective examination's data and curves of gained textile four dimensions characteristic
Index.Then different types of a variety of textile material samples are tested respectively with test device again, and obtained a large amount of
Objective examination is as a result, carry out 14 objective evaluation indexs according to objective examination's result of gained 9 grades of system classifications, wherein classification side
Method is：We take 150 kinds of textile samples, each takes 10, and 14 objective evaluation indexs (8) of each 10 samples are carried out
Test, and averaged according to test result, obtain the database of one 14 × 150.All indexs are handled and are obtained each
The distribution audio-visual picture of item index.Test result is analyzed, and is classified, grade scale is using index value in 0-10%
It is rank 1,11-22% is rank 2, and 23-34% is rank 3, and 35-46% is rank 4, and 47-58% is rank
5,59-70% be rank 6, and 71-79% is rank 7, and 80-89% is rank 8, and 90-100% is rank 9.Such as：
For confficient of static friction, we are classified in this way, and 0-0.15 is rank 1, and subjectivity is expressed as dead smooth；0.16-0.25 is grade
Other 2, subjectivity is expressed as smooth；0.26-0.31 is rank 3, and subjectivity is expressed as more smooth；0.32-0.34 be rank 4, subjective table
It is shown as general smooth；0.35-0.40 is rank 5, and subjectivity is expressed as generally；0.41-0.45 is rank 6, and subjectivity is expressed as generally
It is coarse；0.46-0.50 is rank 7, and subjectivity is expressed as rougher；0.50-0.60 is rank 8, and subjectivity is expressed as coarse；0.60 with
Upper is rank 9, and subjectivity is expressed as extremely rough.In this way, 14 objective evaluation indexs just establish.Then to different age group,
Different sexes, different native place, different occupation crowd subjective perception experiment is carried out to 5 subjective sensation indexs of various textiles
And questionnaire survey, the feedback of generated 5 kinds of subjective sensations when acquisition people act on human skin textile
Data obtain subjective test results, while carry out objective examination to these textiles, obtain objective examination's result.With textile
14 objective indicators are as input layer, using 5 subjective index as output layer, according to obtained subjective and objective examination
As a result textile subjective sensation prediction neural network model is established, is just established to this textile product subjective sensation quantization system
.
Next it needs to establish textile product subjective sensation labeling and anti-counterfeiting system, first by the weaving used for textiles
Test device in class product subjective sensation quantization system is tested, and obtains objective examination as a result, again by objective examination's result
As input, by subjective sensation prediction neural network model, textile subjective sensation quantized value is obtained, to textile product
Subjective sensation is pasted into line subscript, and the block diagram of corresponding 5 subjective sensations and its corresponding labeling will be generated on interface
Quantized value.Buyer can carry out comprehensive descision and decision according to the subjective labeling value.Meanwhile the textile product subjectivity sense
Feel labeling and anti-counterfeiting system are the common query platforms of a big data, and an anti-fake two-dimension code (F2) is set on interface, are used
Family can be scanned into the Antiforge inquiry of rower patch certification by mobile phone.
Finally need to establish is textile product virtual reality sensory perceptual system, first produces the textile used for textiles
Test device in product subjective sensation quantization system is tested, obtain objective examination as a result, again using objective examination's result as
Input by subjective sensation prediction neural network model, obtains textile subjective sensation quantized value, and by virtual reality end
The long-range perception of textile product subjective sensation by true sense of touch sensory transmission to consumer's virtual reality terminal, is realized in end.
It is further illustrated the present invention below with specific embodiment.
10 kinds of typical textile fabric samples are selected, test specimens are cut into the sample that size is 200mm × 200mm,
Then therefrom random 5 kinds of extraction is used as laboratory sample.By sample, smooth as required to be positioned over the test textile feel special
Property device under survey disk on, on data collecting system panel click start start test process.Testing after starting to be
Every data graphs and current data volume are read on system panel, indices data are analyzed after test
It arranges, obtains objective examination's result of textile feel characteristic.Nerve net is predicted further according to the textile subjective sensation established
Network model can obtain subjective sensation quantized value.Test structure index is as shown in table 1, and subjective sensation quantized value is as shown in table 2.
Table 1：Objective evaluation index record sheet
Table 2：Subjective sensation quantized value record sheet
Experiment proves that the humidity characteristic of sample 1 is best, and the softness characteris of sample 3 is best, the changes in temperature degree characteristic of sample 4
Preferably, the smooth feeling characteristic of sample 2 is best, and the tingling sensation characteristic of sample 1 is best.
With reference to figure 3-7, the structure of textile feel test device is illustrated, including test suite, transmission mechanism, distortion power
Pallet and stent, the stent include pedestal, guide post 4 and column 13, and the pedestal includes support base 20 and support plate
B25, the support plate B25 upper verticals are equipped with guide post 4, and 4 rear of guide post is parallel to be equipped with column 13, the transmission mechanism
On column 13, the test suite includes upper platen 1, pressing disc 2 and test sensor, the pressing disc 2 and sets
In the top of the guide post 4, the upper platen 1 is arranged on the lower end of the transmission mechanism, to drive institute by transmission mechanism
Platen 1 is stated to move up and down.It is special the invention mainly relates to compression according to the corresponding sensor of parameter setting to be tested and component
Property, surface friction characteristics, moment of flexure characteristic and heat transfer characteristic.
The test sensor includes pressure sensor A3, pressure sensor B6 and heat flow transducer 8, and the pressure passes
Sensor A3 is located at the lower section of pressing disc 2, and the pressure sensor B6 is arranged in the rectangular recess on support base 20, the hot-fluid
Sensor 8 is arranged on 2 upper surface of pressing disc, and the upper platen 1 is internally provided with heater strip 7, and the heater strip 7 fits in institute
It states on 23 surface of bottom plate of platen 1.
Compression property test is mainly realized that 4 top of guide post, which is equipped with, to be pushed by upper platen 1, pressing disc 2 and pressure sensor A3
Disk 2, surface friction characteristics are tested mainly by upper platen 1, sliding block 17, fixing sleeve 15, guide rod 16, ball-screw B14, direct current generator
18 and shaft coupling B19 realizes that the upper platen 1 includes cavity plate 22 and bottom plate 23, and the bottom plate 23 is set to cavity plate 22
Bottom, the surface friction characteristics test suite are arranged on cavity plate 22, and the surface friction characteristics test suite includes sliding
Block 17, fixing sleeve 15, guide rod 16, ball-screw B14, direct current generator 18 and shaft coupling B19, the sliding block 17 are mounted on fixing sleeve
In 15 groove, the fixing sleeve 15 is mounted in the cavity of the cavity plate 22 of upper platen 1, and the sliding block 17 passes through bottom plate groove
24,16 top of guide rod is parallel to be equipped with ball-screw B14, and ball-screw B14 one end is connected by shaft coupling B19 with direct current generator 18
It connects.
Bending characteristic test is mainly realized by upper platen 1, distortion power pallet 5, pressure sensor B6 and pressing disc 2, described
Support base 20 is mounted on support plate B25, and distortion power pallet 5 is equipped in the rectangular recess of the support base 20, and the pressure passes
Sensor B6 is arranged in the rectangular recess on support base 20, and the distortion power pallet 5 is located at the outside of the pressing disc 2, non-
Under compressive state, the pressing disc 2 is higher than the distortion power pallet 5.
Heat transfer characteristic is tested and is mainly realized by upper platen 1, heater strip 7, heat flow transducer 8 and pressing disc 2, pressing disc 2
Top is equipped with heat flow transducer 8, and the heat flow transducer 8 is arranged on 2 upper surface of pressing disc, is set inside the upper platen 1
There is heater strip 7, the heater strip 7 is fitted on 23 surface of bottom plate of the upper platen 1.
Transmission mechanism includes stepper motor 9, shaft coupling A10, support plate 11 and ball-screw 12, and ball-screw A12 is vertical
Set on 20 center of support base, shaft coupling A10 is equipped with above ball-screw A12, support plate A11, support are equipped with above shaft coupling A10
Stepper motor 9 is equipped with above plate A11.As shown in figure 3, the device can simulate the dynamic Contact of human body surface skin and textile
Process, and pass through compression property, surface friction characteristics, bending characteristic and heat transmission spy that one-shot measurement obtains textile simultaneously
Property.
Only preferred embodiments of the present invention are described above, but are not to be construed as limiting the scope of the invention.This
Invention is not only limited to above example, and concrete structure is allowed to vary.In short, all guarantors in independent claims of the present invention
The various change made in the range of shield is within the scope of the present invention.
Claims (10)
1. a kind of textile cognitive method based on virtual reality, includes the following steps：
The tactile qualities of textile are tested, obtain the dynamic compression characteristics of textile, surface friction characteristics, flexural property and dynamic
State heat transfer characteristic, and record and store the data for characterizing the tactile qualities, as objective examination as a result, for described objective
Test result sets multinomial objective evaluation index；
According to the crowd of different age group, different sexes the subjective sensation indexs of various textiles is carried out subjective perception test and
Questionnaire survey, gathered data obtain subjective test results；
Using the objective evaluation index of textile as input layer, using the subjective sensation index of different crowd as output layer, according to
Subjective test results and objective examination's result establish subjective sensation prediction neural network model；
According to the objective examination of textile as a result, determining the type of textile, so as to obtain the type textile and corresponding crowd
Subjective test results, obtain subjective sensation quantized value.
2. the textile cognitive method according to claim 1 based on virtual reality, it is characterised in that：According to the weaving
The subjective sensation quantized value of product by the virtual reality terminal of sense of touch sensory transmission to user, realizes user to textile subjectivity sense
The long-range perception felt.
3. the textile cognitive method according to claim 1 or 2 based on virtual reality, it is characterised in that：Described is more
Item objective evaluation index refers to that maximum deflection load, compression stage bending work(, rebound stage are bent work(, work done during compression, compression rebound
Work(, compression rebound ratio, confficient of static friction FS, frictional work, coefficient of kinetic friction FD, maximum heat flow, hot mental impression intensity, heat adjusts
Save time, dynamic regulation time and static thermal resistance；Objective examination based on a variety of textile material samples is as a result, to described 14
Objective evaluation index is classified.
4. the textile cognitive method according to claim 1 or 2 based on virtual reality, it is characterised in that：The subjectivity
Feel that index refers to, humidity, pliability, changes in temperature degree, smooth feeling and tingling sensation.
5. the textile cognitive method according to claim 4 based on virtual reality, it is characterised in that：The subjective sensation
Predicted value is characterized by subjective sensation labeling on line, and user uses subjective sensation labeling on line described in virtual reality terminal-pair
It is read out, realizes perception of the user to textile subjective sensation.
6. the textile cognitive method according to claim 5 based on virtual reality, it is characterised in that：Pass through big data public affairs
Searching platform storage subjective sensation labeling altogether, user accesses the big data common query platform, to the subjective sensation labeling
Carry out Antiforge inquiry.
7. the textile cognitive method according to claim 1 based on virtual reality, it is characterised in that：The objective examination
As a result it is tested and completed by textile feel test device, the textile feel test device, including test suite, driver
Structure, distortion power pallet and stent, the stent include pedestal, guide post (4) and column (13), and the pedestal includes support base
(20) and support plate B (25), support plate B (25) upper vertical are equipped with guide post (4), and guide post (4) rear is parallel to be equipped with
Column (13), it is characterised in that：The transmission mechanism is mounted on column (13), and the test suite includes upper platen
(1), pressing disc (2) and test sensor, the pressing disc (2) are arranged on the top of the guide post (4), the upper platen
(1) lower end of the transmission mechanism is arranged on, the upper platen (1) to be driven to move up and down by transmission mechanism.
8. the textile cognitive method according to claim 7 based on virtual reality, it is characterised in that：The test passes
Sensor includes pressure sensor A (3), pressure sensor B (6) and heat flow transducer (8), under the pressure sensor A (3) is located at
The lower section of platen (2), the pressure sensor B (6) are arranged in the rectangular recess on support base (20), the heat flow transducer
(8) pressing disc (2) upper surface is arranged on, the upper platen (1) is internally provided with heater strip (7), heater strip (7) fitting
In on bottom plate (23) surface of the upper platen (1)；The support base (20) is on support plate B (25), the support base
(20) be equipped with distortion power pallet (5) in rectangular recess, the distortion power pallet (5) positioned at the outside of the pressing disc (2),
Under non-compressed state, the pressing disc (2) is higher than the distortion power pallet (5).
9. the textile cognitive method according to claim 8 based on virtual reality, it is characterised in that：Textile sample
(21) it is placed on pressing disc (2), after the temperature difference for reaching setting between upper and lower platen is heated by heater strip (7), on
Platen (1) is begun to decline under transmission mechanism drive；When upper platen touches textile sample and continues compression pressing disc downwards,
(21) four weekly assembly of textile sample touches the distortion power pallet (5) positioned at pressing disc (2) surrounding, is now placed in pressing disc (2)
The pressure sensor A (3) of lower section, the bending pressure sensor B (6) in rectangular channel and the hot-fluid positioned at pushing panel surface
Sensor (8) proceeds by the real-time acquisition of data, is compressed, bending and the test of heat transfer characteristic, when pressure passes
When sensor A (3) detects that pressure reaches expecting pressure, upper platen (1) stops declining.
10. the textile cognitive method according to claim 9 based on virtual reality, it is characterised in that：The test group
Part further includes surface friction characteristics test suite, and the surface friction characteristics test suite is set on platen (1), it is described on
Platen (1) includes cavity plate (22) and bottom plate (23), and the bottom plate (23) is set to the bottom of cavity plate (22), and the surface is rubbed
It wipes characteristic test component to be arranged on cavity plate (22), the surface friction characteristics test suite includes sliding block (17), fixing sleeve
(15), guide rod (16), ball-screw B (14), direct current generator (18) and shaft coupling B (19), the sliding block (17) is mounted on fixation
In the groove for covering (15), the fixing sleeve (15) is in the cavity of the cavity plate (22) of upper platen (1), the sliding block (17)
Across bottom plate groove (24), parallel above guide rod (16) to be equipped with ball-screw B (14), ball-screw B (14) one end passes through shaft coupling
Device B (19) is connected with direct current generator (18).
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| CN112034145B (en) * | 2020-09-11 | 2022-07-26 | 中国计量大学 | Textile touch simulation device and method |
| CN113609655A (en) * | 2021-07-16 | 2021-11-05 | 中国计量大学 | Soft touch reproduction device and method and online shopping method based on soft touch reproduction |
| CN117726160B (en) * | 2024-02-09 | 2024-04-30 | 厦门碳基翱翔数字科技有限公司 | Textile flow management method and system based on virtual reality and evolution reinforcement learning |
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