CN116796390A - Generating type interaction design method aiming at product appearance diversity - Google Patents
Generating type interaction design method aiming at product appearance diversity Download PDFInfo
- Publication number
- CN116796390A CN116796390A CN202310015436.7A CN202310015436A CN116796390A CN 116796390 A CN116796390 A CN 116796390A CN 202310015436 A CN202310015436 A CN 202310015436A CN 116796390 A CN116796390 A CN 116796390A
- Authority
- CN
- China
- Prior art keywords
- design
- appearance
- parameters
- dimensional model
- generating
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000013461 design Methods 0.000 title claims abstract description 72
- 238000000034 method Methods 0.000 title claims abstract description 31
- 230000003993 interaction Effects 0.000 title claims abstract description 11
- 238000005070 sampling Methods 0.000 claims abstract description 45
- 230000002452 interceptive effect Effects 0.000 claims abstract description 11
- 230000007246 mechanism Effects 0.000 claims abstract description 10
- 230000000007 visual effect Effects 0.000 claims description 9
- 230000008859 change Effects 0.000 claims description 8
- 238000004458 analytical method Methods 0.000 claims description 3
- 238000012545 processing Methods 0.000 claims description 2
- 238000012216 screening Methods 0.000 claims description 2
- 238000012938 design process Methods 0.000 abstract description 3
- 230000009467 reduction Effects 0.000 abstract description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000013459 approach Methods 0.000 description 1
- 238000012097 association analysis method Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 239000011159 matrix material Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000010172 mouse model Methods 0.000 description 1
Abstract
The invention discloses a generating type interaction design method aiming at product appearance diversity, and relates to the field of man-machine interaction. Step 1: selecting a design object, and establishing a parameterized three-dimensional model conforming to appearance characteristics; step 2: defining design space of appearance diversity; step 3: generating a sample set in a design space by a sampling technique; step 4: establishing an association mechanism of the appearance local characteristics and design parameters; step 5: and obtaining a final design scheme through the generated interaction flow. By associating the appearance local features with the variable parameters, the dimension of the design space is reduced, the dimension reduction of the complex high-dimension parameterized design is realized, the design process is simplified, and the design efficiency is improved. By adopting the interactive and generating combined design method, while ensuring the diversity of design results, even non-professional designers can obtain a satisfactory design scheme through own exploration.
Description
Technical Field
The invention relates to the field of man-machine interaction, in particular to a generating type interaction design method aiming at product appearance diversity.
Background
The conventional design method is generally used for two-dimensional design objects and three-dimensional design objects with simple structures. When dealing with more complex three-dimensional product design, the generative approach typically requires a more thorough and detailed exploration of the design space in order to produce a sufficient solution. This means higher computational cost and longer design time, increasing the design fatigue of the designer, thereby affecting interaction efficiency and result quality.
Disclosure of Invention
Aiming at the defects of the prior art, the invention solves the problem of how to realize the parameterized modeling method of the appearance diversity of the three-dimensional complex product, and ensures the design efficiency and reduces the design difficulty while generating the diversity solution.
In order to achieve the above purpose, the invention is realized by the following technical scheme: the method for generating interactive design aiming at the product appearance diversity comprises the following steps:
step 1: selecting a design object, and establishing a parameterized three-dimensional model conforming to appearance characteristics;
step 2: defining design space of appearance diversity;
step 3: generating a sample set in a design space by a sampling technique;
step 4: establishing an association mechanism of the appearance local characteristics and design parameters;
step 5: and obtaining a final design scheme through the generated interaction flow.
Preferably, the specific operation of step 2 is as follows:
step 2.1: dividing parameters of modeling design into constant parameters and variable parameters;
step 2.2: discarding constant parameters, reserving variable parameters, wherein the reserved variable parameters are mutually independent;
step 2.3: defining a value range of the variable parameter, and ensuring that the value of the variable parameter is feasible and within a reasonable range; the variable parameters and the corresponding value ranges form a design space of appearance diversity of the design object.
Preferably, step 3 comprises the steps of:
step 3.1: generating a large number of sampling points in the design space obtained in the step 2.3 through a Latin hypercube sampling method within the value range of the variable parameter, wherein the sampling points represent different parameterized design schemes;
step 3.2: and drawing corresponding three-dimensional models by means of three-dimensional drawing software according to the obtained sampling points, wherein each three-dimensional model corresponds to a specific set of variable parameters.
Preferably, the operation of step 4 is as follows:
step 4.1: according to the design object, defining and screening a plurality of representative appearance local features, wherein the appearance local features need to satisfy the following conditions: obvious visual difference can be generated along with the change of the variable parameters, the variable parameters are not influenced by the change of other characteristics, and the variable parameters are easy to understand;
step 4.2: according to a plurality of defined appearance local features, a scoring mechanism of 1-10 points is established, visual effects of the appearance local features are converted into specific values, and visual differences of the features are quantized;
step 4.3: inviting a plurality of operators to participate in a questionnaire, wherein the questionnaire is in the form of: displaying the three-dimensional model established in the step 3.2 to a questionnaire participant, scoring the appearance local features of the three-dimensional model by the questionnaire participant through the scoring mechanism of the step 4.2, and recording and counting the scores of the appearance local features of each three-dimensional model;
step 4.4: and (3) establishing a relation between the appearance local feature score of the three-dimensional model obtained in the step (4.3) and a variable parameter corresponding to the three-dimensional model by a gray level relation analysis method, setting a relation threshold value, and obtaining the variable parameter affecting each appearance local feature, wherein the relation parameter of each appearance local feature is clear.
Preferably, the step 5 includes the steps of:
step 5.1: sorting the appearance local features according to the number of the associated parameters;
step 5.2: generating a group of sampling points through Latin hypercube sampling and establishing a corresponding three-dimensional model as an initial set;
step 5.3: selecting a more satisfactory sampling point as a candidate solution in the initial set in the step 5.2;
step 5.4: sequentially selecting the appearance local features of the candidate solutions which need to be changed according to the sequence in the step 5.1;
step 5.5: aiming at the selected first appearance local feature, changing variable parameters corresponding to the first appearance local feature by taking a candidate solution as a center through a Latin hypercube sampling method, generating a group of sampling points, establishing a corresponding three-dimensional model as a candidate set, and selecting a more satisfactory sampling point as a new candidate solution in the generated candidate set;
step 5.6: and 5.5, sequentially processing the selected appearance local features needing to be changed, and obtaining the final candidate solution, namely the final design scheme.
The invention provides a generating type interactive design method aiming at product appearance diversity. The beneficial effects are as follows:
1. according to the invention, the appearance local characteristics are associated with the variable parameters, so that the dimension of the design space is reduced, the dimension reduction of the complex high-dimension parameterized design is realized, the design process is simplified, and the design efficiency is improved.
2. The invention adopts the interactive and generating type combined design method, ensures the diversity of design results, and can obtain a satisfactory design scheme through own exploration by even non-professional designers.
Drawings
FIG. 1 is a schematic illustration of a technical route of the present invention;
FIG. 2 is a schematic view of a parameterized three-dimensional model of the appearance of a mouse according to a preferred embodiment of the invention;
3A, 3B, 3C and 3D are diagrams of parameters related to a parameterized three-dimensional model of a mouse appearance according to a preferred embodiment of the present invention;
FIG. 4 is a schematic diagram showing scoring examples of local features of the appearance of a mouse according to a preferred embodiment of the invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments.
In this embodiment, taking a mouse as an example, a method for generating interactive design for product appearance diversity is provided, as shown in fig. 1, and specifically includes the following steps:
step 1: selecting a mouse as a design object, establishing a parameterized three-dimensional model conforming to the appearance characteristics of the mouse, defining and listing parameters related to the establishment of the mouse model according to a construction curve of the parameterized three-dimensional model of the mouse, as shown in fig. 2, and as shown in fig. 3A, 3B, 3C and 3D;
step 2: the design space for defining the appearance diversity of the mouse specifically comprises the following steps:
step 2.1: modeling of the mouse involves more than one hundred parameters, and the parameters are divided into constant parameters and variable parameters;
step 2.2: discarding constant parameters, reserving 31 variable parameters in total, wherein the reserved variable parameters are mutually independent;
step 2.3: the value ranges of the defined variable parameters are shown in the table 1, the values of the variable parameters in the range are reasonable, an infeasible design scheme is not generated, and the reserved 31 variable parameters and the value ranges corresponding to the variable parameters form a design space of the appearance diversity of the mouse;
table 1 variable parameters and value ranges.
Step 3: generating a sample set in a design space by a sampling technology, specifically comprising the following steps:
step 3.1: generating 800 sampling points through Latin hypercube sampling according to the determined 31-dimensional design space;
step 3.2: according to the obtained sampling points, the corresponding three-dimensional models are rapidly drawn by means of the macro function of the three-dimensional drawing software Solidworks, so that each three-dimensional model corresponds to a specific set of variable parameters.
Step 4: the method for establishing the association mechanism of the local characteristics of the mouse appearance and the design parameters comprises the following steps:
step 4.1: according to the appearance characteristics of the mouse, 10 representative appearance local characteristics are defined, and the method comprises the following steps: "front end height", "rear end height", "front end both sides extensibility", "rear end both sides extensibility", "front end ridge line protrusion", "rear end ridge line protrusion", "both sides top protrusion", "both sides side protrusion", "pulley along centerline position", "pulley and pulley groove size", these 10 appearance local features satisfy: obvious visual difference can be generated along with the change of the variable parameters, the variable parameters are not influenced by the change of other characteristics, and the variable parameters are easy to understand;
step 4.2: establishing a scoring mechanism for the selected 10 appearance local features, converting the visual effects of the different appearance local features of the mouse into specific numerical values, and quantifying the visual differences of the features, as shown in fig. 4;
step 4.3: inviting 20 staff in each industry to participate in questionnaire, after explaining the local appearance characteristics of the mouse and scoring mechanism, evenly displaying the generated 800 three-dimensional models to the 20 staff for scoring the local characteristics, and recording and counting the scores of the appearance local characteristics of each three-dimensional model;
step 4.4: the score of each appearance local feature of the three-dimensional model is integrated with the corresponding variable parameters, an association matrix of 31 variable parameters and 10 appearance local features is obtained through a gray level association analysis method, an association degree threshold is set, the association parameter of each appearance local feature is obtained, the change of each appearance local feature is caused by the value change of the corresponding association parameter, so far, the association parameters of the 10 appearance local features of the mouse are determined, and the association situation is shown in table 2.
Table 2 associated parameters and gray scale associated values
Step 5: the final design scheme is obtained through the generated interaction flow, and specifically comprises the following steps:
step 5.1: the 10 appearance local features are ranked by at least as many as the number of appearance local feature association parameters.
Step 5.2: 50 sampling points are randomly generated in the design space through Latin hypercube sampling, and a corresponding three-dimensional model is rapidly drawn through the macro function of three-dimensional drawing software Solidworks as an initial set 510.
Step 5.3: a more satisfactory sampling point 511 is selected from the initial set 510 as a candidate solution.
Step 5.4: the candidate solutions 511 are sequentially selected from the appearance local features with a large number of associated parameters in the rearranged order, and the appearance local features need to be changed, wherein the 5 appearance local features of the front-end height, the front-end ridge line protrusion, the rear-end ridge line protrusion, the front-end two-side extensibility and the pulley along the center line position are sequentially selected, and the associated parameters are respectively 10, 6, 3 and 2.
Step 5.5: for the selected first appearance local feature 'front end height', changing variable parameters corresponding to the appearance local feature 'front end height' by taking the candidate solution 511 as a center through a Latin hypercube sampling method, generating a group of sampling points, establishing a corresponding three-dimensional model as a candidate set 520, and selecting a more satisfactory sampling point 521 from the generated candidate set 520 as a new candidate solution.
Step 5.6: for the front ridge line saliency of the second appearance local feature, a candidate solution 521 is taken as a center by a Latin hypercube sampling method, variable parameters corresponding to the front ridge line saliency of the appearance local feature are changed, a group of sampling points are generated, a corresponding three-dimensional model is established as a candidate set 530, and a more satisfactory sampling point 531 is selected from the generated candidate set 530 to serve as a new candidate solution.
Step 5.7: for the tail end ridge line prominence of the selected third appearance local feature, a candidate solution 531 is taken as a center by a Latin hypercube sampling method, variable parameters corresponding to the tail end ridge line prominence of the appearance local feature are changed, a group of sampling points are generated, a corresponding three-dimensional model is established as a candidate set 540, and a more satisfactory sampling point 541 is selected from the generated candidate set 540 as a new candidate solution.
Step 5.8: for the front-end two-side extensibility of the selected fourth appearance local feature, a candidate solution 541 is taken as a center by a Latin hypercube sampling method, variable parameters corresponding to the front-end two-side extensibility of the appearance local feature are changed, a group of sampling points are generated, a corresponding three-dimensional model is established as a candidate set 550, and a more satisfactory sampling point 551 is selected from the generated candidate set 550 to serve as a new candidate solution.
Step 5.9: for the selected fifth appearance local feature 'pulley center line position', a candidate solution 551 is taken as a center by a Latin hypercube sampling method, variable parameters corresponding to the appearance local feature 'pulley center line position' are changed, a group of sampling points are generated, a corresponding three-dimensional model is established as a candidate set 560, and a more satisfactory sampling point 561 is selected from the generated candidate set 560 as a final solution.
Step 5.10: to this end, a final design 561 of the mouse appearance is obtained through a series of interactive design processes.
The foregoing describes in detail preferred embodiments of the present invention. It should be understood that numerous modifications and variations can be made in accordance with the concepts of the invention without requiring creative effort by one of ordinary skill in the art. Therefore, all technical solutions which can be obtained by logic analysis, reasoning or limited experiments based on the prior art by the person skilled in the art according to the inventive concept shall be within the scope of protection defined by the claims.
Claims (5)
1. The method for generating interactive design aiming at product appearance diversity comprises the following steps: the method comprises the following steps:
step 1: selecting a design object, and establishing a parameterized three-dimensional model conforming to appearance characteristics;
step 2: defining design space of appearance diversity;
step 3: generating a sample set in a design space by a sampling technique;
step 4: establishing an association mechanism of the appearance local characteristics and design parameters;
step 5: and obtaining a final design scheme through the generated interaction flow.
2. The method for generating interactive design for product appearance diversity according to claim 1, wherein the step 2 specifically comprises the following steps:
step 2.1: dividing parameters of modeling design into constant parameters and variable parameters;
step 2.2: discarding constant parameters, reserving variable parameters, wherein the reserved variable parameters are mutually independent;
step 2.3: defining a value range of the variable parameter, and ensuring that the value of the variable parameter is feasible and within a reasonable range; the variable parameters and the corresponding value ranges form a design space of appearance diversity of the design object.
3. The method of generating interactive design for product appearance diversity according to claim 2, wherein step 3 comprises the steps of:
step 3.1: generating a large number of sampling points in the design space obtained in the step 2.3 through a Latin hypercube sampling method within the value range of the variable parameter, wherein the sampling points represent different parameterized design schemes;
step 3.2: and drawing corresponding three-dimensional models by means of three-dimensional drawing software according to the obtained sampling points, wherein each three-dimensional model corresponds to a specific set of variable parameters.
4. A method of generating interactive design for product appearance diversity according to claim 3, wherein the operation of step 4 is as follows:
step 4.1: according to the design object, defining and screening a plurality of representative appearance local features, wherein the appearance local features need to satisfy the following conditions: obvious visual difference can be generated along with the change of the variable parameters, the variable parameters are not influenced by the change of other characteristics, and the variable parameters are easy to understand;
step 4.2: according to a plurality of defined appearance local features, a scoring mechanism of 1-10 points is established, visual effects of the appearance local features are converted into specific values, and visual differences of the features are quantized;
step 4.3: inviting a plurality of operators to participate in a questionnaire, wherein the questionnaire is in the form of: displaying the three-dimensional model established in the step 3.2 to a questionnaire participant, scoring the appearance local features of the three-dimensional model by the questionnaire participant through the scoring mechanism of the step 4.2, and recording and counting the scores of the appearance local features of each three-dimensional model;
step 4.4: and (3) establishing a relation between the appearance local feature score of the three-dimensional model obtained in the step (4.3) and a variable parameter corresponding to the three-dimensional model by a gray level relation analysis method, setting a relation threshold value, and obtaining the variable parameter affecting each appearance local feature, wherein the relation parameter of each appearance local feature is clear.
5. The method of generating interactive design for product appearance diversity according to claim 4, wherein step 5 comprises the steps of:
step 5.1: sorting the appearance local features according to the number of the associated parameters;
step 5.2: generating a group of sampling points through Latin hypercube sampling and establishing a corresponding three-dimensional model as an initial set;
step 5.3: selecting a more satisfactory sampling point as a candidate solution in the initial set in the step 5.2;
step 5.4: sequentially selecting the appearance local features of the candidate solutions which need to be changed according to the sequence in the step 5.1;
step 5.5: aiming at the selected first appearance local feature, changing variable parameters corresponding to the first appearance local feature by taking a candidate solution as a center through a Latin hypercube sampling method, generating a group of sampling points, establishing a corresponding three-dimensional model as a candidate set, and selecting a more satisfactory sampling point as a new candidate solution in the generated candidate set;
step 5.6: and 5.5, sequentially processing the selected appearance local features needing to be changed, and obtaining the final candidate solution, namely the final design scheme.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310015436.7A CN116796390A (en) | 2023-01-05 | 2023-01-05 | Generating type interaction design method aiming at product appearance diversity |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310015436.7A CN116796390A (en) | 2023-01-05 | 2023-01-05 | Generating type interaction design method aiming at product appearance diversity |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN116796390A true CN116796390A (en) | 2023-09-22 |
Family
ID=88038727
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310015436.7A Pending CN116796390A (en) | 2023-01-05 | 2023-01-05 | Generating type interaction design method aiming at product appearance diversity |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116796390A (en) |
-
2023
- 2023-01-05 CN CN202310015436.7A patent/CN116796390A/en active Pending
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106203395B (en) | Face attribute recognition method based on multitask deep learning | |
| CN110188228B (en) | Cross-modal retrieval method based on sketch retrieval three-dimensional model | |
| CN109583474B (en) | Training sample generation method for industrial big data processing | |
| CN109871851B (en) | Chinese character writing normalization judging method based on convolutional neural network algorithm | |
| CN109934826A (en) | A kind of characteristics of image dividing method based on figure convolutional network | |
| CN103942571B (en) | Graphic image sorting method based on genetic programming algorithm | |
| CN112070727B (en) | Metal surface defect detection method based on machine learning | |
| CN104268600B (en) | A kind of mineral flotation foam image texture analysis and operating mode's switch method based on Minkowski distances | |
| CN108304920A (en) | A method of multiple dimensioned learning network is optimized based on MobileNets | |
| CN110533022B (en) | Target detection method, system, device and storage medium | |
| CN111311702B (en) | Image generation and identification module and method based on BlockGAN | |
| CN110599839A (en) | Online examination method and system based on intelligent paper grouping and text analysis review | |
| CN111401353A (en) | Method, device and equipment for identifying mathematical formula | |
| CN109344497A (en) | A kind of design implementation method of mold foundation ontology | |
| CN101339619B (en) | Dynamic feature selection method for mode classification | |
| CN110097616A (en) | A kind of joint drawing method, device, terminal device and readable storage medium storing program for executing | |
| CN111462119B (en) | Wide-thick plate shearing and layout method based on machine vision | |
| CN113705673A (en) | Character detection method, device, equipment and storage medium | |
| CN108564116A (en) | A kind of ingredient intelligent analysis method of camera scene image | |
| CN116796390A (en) | Generating type interaction design method aiming at product appearance diversity | |
| CN112508108A (en) | Zero-sample Chinese character recognition method based on etymons | |
| CN110851920B (en) | Automatic generation method of main reinforcement line of die material pressing device | |
| CN112233043A (en) | DenseNet and GAN-based low-illumination image enhancement method | |
| CN113486904B (en) | Feature self-adaptive laser scanning projection graph control point extraction and optimization method | |
| CN110287521B (en) | Automatic generation method for die insert boundary |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |