Clothing production system based on personalized customization

Abstract

The invention relates to the technical field of intelligent knitting, in particular to a clothes production system based on personalized customization, which comprises a main control module, and a signal receiving and transmitting module, an analysis module and a plurality of production units which are in signal connection with the main control module, and is characterized in that the signal receiving and transmitting module is used for performing signal interaction with an external terminal to obtain clothes order information; the analysis module is used for analyzing the clothes order information; the main control module carries out production scheduling on the clothes by utilizing a plurality of production units according to the data analyzed by the analysis module; wherein a user designs a pattern of the clothes through an external terminal. The clothes order information is analyzed through the analysis module, the main control module schedules the clothes order information to the corresponding production units according to the data obtained through analysis, and the effect that a user customizes clothes in a personalized mode can be achieved.

Description

Technical Field

[0001] The present invention relates to the field of intelligent knitting technology, and in particular to a clothing production system based on personalized customization. Background Art

[0002] With the improvement of living standards, people pay more attention to the personalization of clothing. In other words, in addition to buying clothes with pre-designed patterns, some people hope to design relevant patterns themselves and have them produced by manufacturers for company team building, parent-child clothing, etc.

[0003] Smart knitting technology enables online modification of clothing patterns and patterns, allowing the production line to automatically adapt and adjust, further improving production efficiency. However, current smart knitting solutions do not allow customers to upload their own patterns for production, leaving them with unmet customer needs and room for further improvement. Summary of the Invention

[0004] In view of the problems of the prior art, the present invention provides a clothing production system based on personalized customization, which can schedule production according to the clothing order information required by users, thereby meeting the needs of personalized customization.

[0005] In order to solve the above technical problems, the present invention adopts the following technical solutions:

[0006] The present invention provides a clothing production system based on personalized customization, comprising a main control module, a signal transceiver module, an analysis module, and a plurality of production units, all of which are connected to the main control module.

[0007] The signal transceiver module is used to interact with external terminals to obtain clothing order information;

[0008] The analysis module is used to analyze clothing order information;

[0009] The main control module schedules the production of clothing using multiple production units based on the data analyzed by the analysis module;

[0010] The user designs clothing patterns through an external terminal.

[0011] Furthermore, the analysis module analyzes the clothing order information, specifically including:

[0012] Obtain clothing quantity data and number the clothing data;

[0013] Obtain the user's body data, and then match each numbered piece of clothing to a user's body data;

[0014] Analyze clothing pattern images to estimate the production cycle range of clothing;

[0015] Send the production cycle range of clothing to the external terminal.

[0016] Furthermore, analyzing the clothing pattern image to estimate the clothing production cycle range specifically includes:

[0017] Analyze clothing pattern images to obtain the shape, color type, color distribution, and size of the clothing pattern;

[0018] Determine the number and type of production processes for clothing patterns based on their shape, color type, color distribution, and size;

[0019] Calculate the production cycle of a single piece of clothing based on the type of production process;

[0020] Obtain the production efficiency of the production units used to produce this batch of clothing, and calculate the production cycle of this batch of clothing under each production process.

[0021] Furthermore, the user's physical data is obtained in one of the following two ways:

[0022] 1) The user selects clothing size on the terminal;

[0023] 2) The user enters his / her height on the terminal, and then uploads a full-body photo of the user from the front and side, which is then analyzed by the analysis module to obtain the user's body data.

[0024] Furthermore, the main control module is also connected to a database for storing clothing patterns; the main control module is also used to perform the following steps:

[0025] Obtaining identity information of an external terminal, binding the clothing pattern transmitted by the external terminal to the external terminal and storing the same in a database;

[0026] When the production of clothing containing any clothing pattern reaches a preset number, the idle production units are controlled to pre-produce a certain number of supplementary materials containing the clothing pattern and store them;

[0027] Performing feature decomposition on clothing patterns reaching a preset number to obtain a plurality of feature patterns;

[0028] The characteristic patterns are stored in the database and used as materials for external terminals to design clothing patterns.

[0029] Furthermore, the feature decomposition of the clothing patterns reaching a preset number to obtain a plurality of feature patterns specifically includes:

[0030] Decomposing clothing patterns using multiple methods to obtain different feature patterns;

[0031] Comparing each characteristic pattern with characteristic images stored in a database;

[0032] If there is a feature image in the database with a similarity of more than 80%, the feature pattern will be deleted;

[0033] The characteristic pattern includes at least two of the following three conditions:

[0034] 1) Not less than two different colors;

[0035] 2) A combination of no less than two regular patterns;

[0036] 3) Irregular shapes.

[0037] Furthermore, the main control module is connected to a deep learning module, which is used to analyze the clothing pattern and perform feature decomposition according to the characteristics of the clothing pattern to obtain a feature pattern that contains at least one clothing pattern feature.

[0038] Furthermore, the production unit has a pattern generation module, which is a silk screen device or a thermal sublimation device or a heat transfer hot stamping device or an embroidery device or a digital paper spray device;

[0039] The calculation of the production cycle of the batch of clothing under each production process specifically includes:

[0040] Calculate the time t required to produce this batch of clothing under each process;

[0041] Classify each production unit based on the production process;

[0042] Sort each type of production unit according to production progress;

[0043] Select the production unit with the fastest production progress among all types of production units and obtain the completion time t' of the current progress respectively;

[0044] Using t 总 = t + t' to find the completion time t of this batch of clothing 总 , recorded as the production cycle.

[0045] Furthermore, the user designs clothing patterns through an external terminal in one of the following two ways:

[0046] The user uses an external terminal to generate the desired clothing pattern and transmits it to the main control module through the signal transceiver module;

[0047] After the user hand-draws the clothing pattern, he or she takes a photo using an external terminal and then uploads the photo to the main control module.

[0048] Furthermore, when the user draws a clothing pattern by hand and takes a photo using an external terminal, and then uploads the photo to the main control module, the main control module also performs the following steps:

[0049] Process the pattern in the photo to eliminate jitter and incomplete defects in the pattern lines;

[0050] The main control module transmits the processed pattern to the external terminal, and the user fills in the color;

[0051] Receive the size ratio of the pattern on the clothing adjusted by the user;

[0052] According to the pattern generation method selected by the user, the clothing image with the pattern is rendered and presented to the user through an external terminal.

[0053] Beneficial effects of the present invention: The present invention analyzes clothing order information through the analysis module, and the main control module schedules production to the corresponding production unit based on the data obtained from the analysis, thereby achieving the effect of personalized customization of clothing for users. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] Figure 1 Schematic diagram of the present invention. DETAILED DESCRIPTION

[0055] In order to facilitate understanding by those skilled in the art, the present invention will be further described below with reference to the embodiments and the accompanying drawings. The contents mentioned in the embodiments are not intended to limit the present invention. The present invention will be described in detail below with reference to the accompanying drawings.

[0056] like Figure 1 As shown, the present invention provides a clothing production system based on personalized customization, including a main control module, a signal transceiver module, an analysis module and multiple production units, all of which are connected to the main control module.

[0057] The signal transceiver module is used to interact with external terminals to obtain clothing order information;

[0058] The analysis module is used to analyze clothing order information;

[0059] The main control module schedules the production of clothing using multiple production units based on the data analyzed by the analysis module;

[0060] The user designs clothing patterns through an external terminal.

[0061] Users can use their mobile phones to log in to the corresponding APP and then place an order. After the main control module receives the above information through the signal transceiver module, it uses the analysis module to obtain the clothing pattern, clothing size, quantity and other information uploaded by the user for the order, and then selects the production unit that meets the requirements according to the user's needs and the current progress of each production unit for production scheduling.

[0062] The present invention realizes the scheduling control of multiple production units, so that the user's order can be produced by the production unit that can meet the order requirements and has a fast progress, thereby meeting the user's demand for personalized customization and ensuring efficiency.

[0063] Specifically, due to the large number of production units, in order to facilitate control and management, the main control module preferably realizes signal connection with the production units through the cloud server, so that orders can still be dispatched smoothly even if the production units are located in different areas.

[0064] In this embodiment, the analysis module analyzes the clothing order information, specifically including:

[0065] Obtain clothing quantity data and number the clothing data;

[0066] Obtain the user's body data, and then match each numbered piece of clothing to a user's body data;

[0067] Analyze clothing pattern images to estimate the production cycle range of clothing;

[0068] Send the production cycle range of clothing to the external terminal.

[0069] The analysis module needs to analyze not only the quantity and size of the clothes in the order, but also the one-to-one matching of the two to facilitate production scheduling. Currently, there are many ways to produce clothing patterns, and different production methods correspond to different production cycles. Therefore, the analysis module also needs to analyze the optional production methods based on the clothing patterns for users to choose.

[0070] Because the present invention involves multiple production units, these units can be located in the same or different workshops, and therefore may employ different processes. Production units can also be further screened based on the production method selected by the user. After the user selects a production method, the corresponding clothing price and production cycle can be directly matched, allowing users to comprehensively consider and further meet customer needs and personalization.

[0071] Specifically, analyzing the clothing pattern image to estimate the clothing production cycle range specifically includes:

[0072] Analyze clothing pattern images to obtain the shape, color type, color distribution, and size of the clothing pattern;

[0073] Determine the number and type of production processes for clothing patterns based on their shape, color type, color distribution, and size;

[0074] Calculate the production cycle of a single piece of clothing based on the type of production process;

[0075] Obtain the production efficiency of the production units used to produce this batch of clothing, and calculate the production cycle of this batch of clothing under each production process.

[0076] For this application, the main factors affecting clothing patterns are the number of colors, color types, pattern location, and pattern size. For clothing with a limited number of colors and simple patterns, knitting can be used to integrate the pattern with the clothing. For clothing with a large number of colors or complex patterns, printing is more likely to be used. The analysis module analyzes the above content to draw conclusions, and then selects a production method that suits the user's needs (mainly the pattern generation method). Based on the user's demand for clothing acquisition time, the production method is further screened, and finally at least one suitable production method is left for the user to choose. The user can view data such as the time required to complete the current order and the total amount through the terminal, so that the user can make the final selection.

[0077] Of course, since the production method selected by the user may be met by more than one production unit, the time calculation provided by the present invention is based on the production unit with the shortest delivery time for the user to receive the clothes. For example, the user selected production method A, which requires 10 days to complete the order, while production unit B currently needs 3 days to schedule production, and production unit C currently needs 4 days to schedule production. However, production unit B takes 3 days to ship the clothes to the user, while production unit C only takes one day. At the same time, the user expects to receive the goods within 16 days. In this case, the user's order will be scheduled to production unit C based on these comprehensive considerations.

[0078] By comprehensively considering multiple factors, we ensure that the time from user placing an order to receiving the goods meets their needs.

[0079] Specifically, the user's physical data is obtained in one of the following two ways:

[0080] 1) The user selects clothing size on the terminal;

[0081] 2) The user enters his / her height on the terminal, and then uploads a full-body photo of the user from the front and side, which is then analyzed by the analysis module to obtain the user's body data.

[0082] For customized clothing, users can directly select the appropriate size, or enter their height and take a full-body photo. The present invention then automatically calculates the user's body proportions based on their height and photo, and then determines the size. While method 1 is more efficient, due to the varying degrees of accuracy between clothing and size between retailers, method 2, while cumbersome, is more suitable for users who need to display their clothing.

[0083] Specifically, the main control module is further connected to a database for storing clothing patterns; the main control module is further configured to perform the following steps:

[0084] Obtaining identity information of an external terminal, binding the clothing pattern transmitted by the external terminal to the external terminal and storing the same in a database;

[0085] When the production of clothing containing any clothing pattern reaches a preset number, the idle production units are controlled to pre-produce a certain number of supplementary materials containing the clothing pattern and store them;

[0086] Performing feature decomposition on clothing patterns reaching a preset number to obtain a plurality of feature patterns;

[0087] The characteristic patterns are stored in the database and used as materials for external terminals to design clothing patterns.

[0088] There are generally two types of customer groups for personalized customization: one is small-volume customization, primarily for individuals and those within their social circles; the other is small-volume customization, followed by further orders after livestreaming and promotion, if demand increases. This invention targets the latter. When the production (primarily referring to orders) of clothing with a specific pattern reaches a certain volume, it proves that the pattern has the potential to be a hit. Therefore, the corresponding production units can be controlled to pre-produce fabric with the pattern. When production continues, these fabrics can be deployed directly, which helps improve efficiency.

[0089] For example, taking 2,000 pieces as the preset quantity, when the order volume of clothing with pattern A exceeds 2,000 and the production unit is temporarily out of production, the production unit can be arranged to produce fabrics containing pattern A, with a production quantity of 300-500. In this way, when there is an order for clothing with pattern A next time, these pre-produced fabrics can be directly used to further sew other clothing parts, thereby improving production efficiency and making rational use of the production window period.

[0090] In this embodiment, the feature decomposition of the clothing patterns reaching a preset number to obtain a plurality of feature patterns specifically includes:

[0091] Decomposing clothing patterns using multiple methods to obtain different feature patterns;

[0092] Comparing each characteristic pattern with characteristic images stored in a database;

[0093] If there is a feature image in the database with a similarity of more than 80%, the feature pattern will be deleted.

[0094] For garments with a preset number of patterns, they typically possess certain highly recognizable and aesthetically pleasing features. The present invention decomposes these patterns into features and then compares the feature patterns with feature images stored in a database. If a highly similar feature image does not exist, the feature pattern is stored in the database as a feature image. This allows subsequent users to incorporate the feature image into their design, reducing design difficulty and satisfying user personalization needs.

[0095] In the present invention, users cannot directly obtain the complete patterns of other users when designing patterns. This is mainly to protect personal intellectual property rights and avoid the adverse effects of plagiarism and excessive borrowing.

[0096] In order to further enhance the advantages of the present invention, after the user designs a pattern, the main control module will compare the pattern with existing design patterns in the database. When the similarity of the pattern comparison is less than 70%, the order can be arranged.

[0097] In this embodiment, the characteristic pattern includes at least two of the following three conditions:

[0098] 1) Not less than two different colors;

[0099] 2) A combination of no less than two regular patterns;

[0100] 3) Irregular shapes.

[0101] Only when at least the above conditions are met will the characteristic pattern have a certain degree of recognition.

[0102] The comparison between the characteristic pattern and the characteristic image includes but is not limited to the following conditions:

[0103] For patterns composed of regular shapes, they can be judged based on conditions such as the number of identical regular graphics, the relative positions between the regular graphics, and the size ratio of the regular graphics. The specific parameters are set by the administrator of the present invention.

[0104] For irregular patterns, the pattern is judged based on the number of sides, the length of each side, and other conditions. The specific parameters can be set by the administrator of the present invention.

[0105] Specifically, the main control module is connected to a deep learning module, which is used to analyze the clothing pattern and perform feature decomposition according to the characteristics of the clothing pattern to obtain a feature pattern that contains at least one clothing pattern feature.

[0106] Specifically, a clothing pattern may have a single prominent characteristic. In this case, the present invention only needs to decompose the characteristic pattern corresponding to this characteristic. The deep learning module is introduced primarily to allow for manual training, allowing the present invention to automatically perform feature decomposition of clothing patterns. If the deep learning module fails to perform feature decomposition on a clothing pattern, the main control module stores the pattern in a database for manual feature decomposition.

[0107] The deep learning module replaces part of the manual labor, which can effectively reduce the intensity of manual work and make the present invention more intelligent.

[0108] Specifically, the production unit has a pattern generation module, which is a silk screen device, a thermal sublimation device, a thermal transfer device, an embroidery device, or a digital paper spray device;

[0109] The calculation of the production cycle of the batch of clothing under each production process specifically includes:

[0110] Calculate the time t required to produce this batch of clothing under each process;

[0111] Classify each production unit based on the production process;

[0112] Sort each type of production unit according to production progress;

[0113] Select the production unit with the fastest production progress among all types of production units and obtain the completion time t' of the current progress respectively;

[0114] Using t 总 = t + t' to find the completion time t of this batch of clothing 总 , recorded as the production cycle.

[0115] Obviously, the present invention calculates the production cycle based on the production process and the progress of the production units. For production units in the same area, the logistics time can be omitted from the production cycle. However, if the production units are distributed in different cities or even different provinces, the logistics time must be included. That is, in the original t 总 =t+t', the logistics time t needs to be added. It is usually recommended to add two days as risk budget time based on the actual logistics time.

[0116] Directly calculating the production cycle allows users to make further considerations when choosing a production process. For more professional users, they can consider the production process as appropriate. For users who only need single pieces or small quantities of clothing, they can choose the fastest delivery time based on the production cycle, which is convenient for a variety of target groups.

[0117] Specifically, the user designs clothing patterns through an external terminal in one of the following two ways:

[0118] The user uses an external terminal to generate the desired clothing pattern and transmits it to the main control module through the signal transceiver module;

[0119] After the user hand-draws the clothing pattern, he or she takes a photo using an external terminal and then uploads the photo to the main control module.

[0120] Specifically, patterns can be created through the terminal, using feature images from a database. This makes drawing more convenient and ensures originality and personalization. Users with a basic sketching skill can draw directly on paper or use professional drawing software, then upload the image directly to the main control module via the terminal. This diverse range of clothing pattern creation methods makes the present invention even more flexible.

[0121] Preferably, when the user draws a clothing pattern by hand and then takes a photo using an external terminal, and then uploads the photo to the main control module, the main control module further performs the following steps:

[0122] Process the pattern in the photo to eliminate jitter and incomplete defects in the pattern lines;

[0123] The main control module transmits the processed pattern to the external terminal, and the user fills in the color;

[0124] Receive the size ratio of the pattern on the clothing adjusted by the user;

[0125] According to the pattern generation method selected by the user, the clothing image with the pattern is rendered and presented to the user through an external terminal.

[0126] Because hand-drawn patterns can exhibit issues like jittery lines and incomplete closure, the present invention utilizes a deep learning module to repair these details and allows the user to review them after repair, preventing the intentional repair of jittery or incomplete lines from affecting the original design. Once the pattern is finalized, the hand-drawn pattern is typically merely a line drawing. The corrected pattern, as determined by the present invention, can then be colored by the user at the terminal, resulting in a rich, user-satisfied final design. Finally, it is rendered and presented to the terminal for user confirmation, ensuring that the finished garment meets the user's expectations as closely as possible.

[0127] The above description is only a preferred embodiment of the present invention and does not limit the present invention in any form. Although the present invention is disclosed as a preferred embodiment as above, it is not used to limit the present invention. Any technician familiar with this profession can make some changes or modifications to equivalent embodiments of equivalent changes by using the technical content disclosed above without departing from the scope of the technical solution of the present invention. However, any simple modifications, equivalent changes and modifications made to the above embodiments according to the technology of the present invention are all within the scope of the technical solution of the present invention without departing from the content of the technical solution of the present invention.

Claims

1. A clothing production system based on personalized customization, characterized in that: It includes a main control module, a signal transceiver module, an analysis module and multiple production units, all of which are connected to the main control module. The signal transceiver module is used to interact with external terminals to obtain clothing order information; The analysis module is used to analyze clothing order information; The main control module schedules the production of clothing using multiple production units based on the data analyzed by the analysis module; The user designs clothing patterns through an external terminal.

2. The clothing production system based on personalized customization according to claim 1, characterized in that: The analysis module analyzes the clothing order information, specifically including: Obtain clothing quantity data and number the clothing data; Obtain the user's body data, and then match each numbered piece of clothing to a user's body data; Analyze clothing pattern images to estimate the production cycle range of clothing; Send the production cycle range of clothing to the external terminal.

3. The clothing production system based on personalized customization according to claim 2, characterized in that: The analyzing of clothing pattern images to estimate the production cycle range of clothing specifically includes: Analyze clothing pattern images to obtain the shape, color type, color distribution, and size of the clothing pattern; Determine the number and type of production processes for clothing patterns based on their shape, color type, color distribution, and size; Calculate the production cycle of a single piece of clothing based on the type of production process; Obtain the production efficiency of the production units used to produce this batch of clothing, and calculate the production cycle of this batch of clothing under each production process.

4. The clothing production system based on personalized customization according to claim 2, characterized in that: The user's physical data is obtained in one of the following two ways: 1) The user selects clothing size on the terminal; 2) The user enters his / her height on the terminal, and then uploads a full-body photo of the user from the front and side, which is then analyzed by the analysis module to obtain the user's body data.

5. The clothing production system based on personalized customization according to claim 2, characterized in that: The main control module is also connected to a database for storing clothing patterns; the main control module is also used to perform the following steps: Obtaining identity information of an external terminal, binding the clothing pattern transmitted by the external terminal to the external terminal and storing the same in a database; When the production of clothing containing any clothing pattern reaches a preset number, the idle production units are controlled to pre-produce a certain number of supplementary materials containing the clothing pattern and store them; Performing feature decomposition on clothing patterns reaching a preset number to obtain a plurality of feature patterns; The characteristic patterns are stored in the database and used as materials for external terminals to design clothing patterns.

6. The clothing production system based on personalized customization according to claim 5, characterized in that: The feature decomposition of the clothing patterns reaching a preset number to obtain a plurality of feature patterns specifically includes: Decomposing clothing patterns using multiple methods to obtain different feature patterns; Comparing each characteristic pattern with characteristic images stored in a database; If there is a feature image in the database with a similarity of more than 80%, the feature pattern will be deleted; The characteristic pattern includes at least two of the following three conditions: 1) Not less than two different colors; 2) A combination of no less than two regular patterns; 3) Irregular shapes.

7. The clothing production system based on personalized customization according to claim 6, characterized in that: The main control module is connected to a deep learning module, which is used to analyze the clothing pattern and perform feature decomposition according to the characteristics of the clothing pattern to obtain a feature pattern that contains at least one clothing pattern feature.

8. The clothing production system based on personalized customization according to claim 3, characterized in that: The production unit has a pattern generation module, which is a silk screen device, a thermal sublimation device, a thermal transfer device, an embroidery device, or a digital paper spray device; The calculation of the production cycle of the batch of clothing under each production process specifically includes: Calculate the time t required to produce this batch of clothing under each process; Classify each production unit based on the production process; Sort each type of production unit according to production progress; Select the production unit with the fastest production progress among all types of production units and obtain the completion time t' of the current progress respectively; Using t 总 = t + t' to find the completion time t of this batch of clothing 总 , recorded as the production cycle.

9. The clothing production system based on personalized customization according to claim 8, characterized in that: The user designs clothing patterns through an external terminal in one of the following two ways: The user uses an external terminal to generate the desired clothing pattern and transmits it to the main control module through the signal transceiver module; After the user hand-draws the clothing pattern, he or she takes a photo using an external terminal and then uploads the photo to the main control module.

10. The clothing production system based on personalized customization according to claim 9, characterized in that: When the user draws a clothing pattern by hand and takes a photo using an external terminal, and then uploads the photo to the main control module, the main control module also performs the following steps: Process the pattern in the photo to eliminate jitter and incomplete defects in the pattern lines; The main control module transmits the processed pattern to the external terminal, and the user fills in the color; Receive the size ratio of the pattern on the clothing adjusted by the user; According to the pattern generation method selected by the user, the clothing image with the pattern is rendered and presented to the user through an external terminal.

Images