A textile and apparel customization operation platform system based on a collaborative C2M (Customer-to-Manufacturer) model.

Abstract

To provide a textile and apparel customization operation platform system based on a collaborative C2M model. [Solution] The operation platform establishment unit establishes an operation platform and sends it to participants in the multi-party clothing customization transaction to request registration and participation. The participant classification unit classifies the participants according to the type of operation, and grants the participants permission on the operation platform according to the classification result. The establishment of the operation platform solves the problem of multiple entities simultaneously participating in the clothing and textile customization transaction, and effectively connects each transaction participant through the platform, realizing joint operation and real-time communication between multiple transaction parties, while at the same time detecting the quality of the clothing, and avoiding the outflow of low-quality products that affect the sales reputation of the factory.

Description

[Technical field]

[0001] The present invention relates to the technical field of operation of multi-party cooperation for joint production in the customization business in the field of clothing and textile products, in particular to a customization system for textile and apparel products based on multi-party cooperation in C2M mode 。 [Background technology]

[0002] Generally based on the C2M mode of clothing custom operation platform system, to solve, there is only a single, point-to-point management, that is, between the customer and the manufacturer (merchant) (C2M), and the factory production can not be completed by the production of clothing alone when it requires multi-party cooperation 。 For example, raw materials orders that are required beyond factory inventory must be purchased from a third party. 。 Or other participants' participation order cannot be completed automatically by the system and requires switching to other systems or manual intervention 。 In the factory and other participants in communication, resulting in a time lag in information, other participants due to the factory production of a large number of orders, the first time to arrange for the completion of the garment, can not predict the time to complete the production of the garment 。 As a result, clothing production may be greater than the user's time requirements, in the proposed view based on multi-party cooperation of the C2M model of textile and clothing customization operation platform system. Summary of the Invention [Problem to be solved by the invention]

[0003] The object of the present invention is to solve the above problems presented in the background art by cooperating Work Type Fiber based on C2M model and Apparel Customization OperationThe aim is to provide a platform system. [Means for solving the problem]

[0004] To achieve the above objective, a textile and apparel customization operation platform system based on a collaborative C2M model is provided, which is composed of an operation platform establishment unit, a participant classification unit, a dynamic form sending unit, a production monitoring unit and an apparel inspection unit. The operation platform establishment unit establishes an operation platform and sends participation registrations to participants of the clothing customization multi-party transaction. The participant classification unit is used for classifying the participating participants according to operation types, and granting permissions to the participants in the operation platform according to the classification result. The dynamic form submission unit carries customer order information. for Input the order information into the platform, extract demand based on the input order information, generate a dynamic form based on the extracted demand information, and operate the dynamic form for participants to view for production. for Used to send to the platform. The production monitoring unit sets a completion standard time according to the dynamic form generated by the dynamic form sending unit, monitors the production progress of the participant, predicts the completion time of the order according to the monitoring result, compares the predicted completion time with the completion standard time, and if the comparison result shows that the predicted completion time is greater than the completion standard time, sends an expedited signal reminder to the participant. The apparel inspection unit obtains the apparel data uploaded by the participants in the dynamic form, sets production qualification standards based on the dynamic form information, detects inconsistencies between the apparel data and the production qualification standards, and sends the apparel produced by the participants to customers based on the detection result of pass.

[0005] As a further improvement of the technical solution, the operation platform establishment unit uses a document-based database to record data through an open interface, ensuring that all original data is retained, and at the same time, uses unstructured data to establish an operation platform to meet the platform docking requirements of all relevant participants.

[0006] As a further improvement of the technical solution, the operation platform establishment unit collects information of participants who cooperate with the enterprise, and enables the participants to register accounts on the operation platform and upload data, and the operation platform uses mapping rules to extract key data required by the operation platform as input for resource matching and matching algorithms.

[0007] As a further improvement of the technical solution, said participant classification unit is composed of a type classification module and a permission allocation module. The type classification module is used to establish operation types based on the steps required to complete the production and sale of garments, such as buyer, intermediary, manufacturer, supplier, logistics provider, financial service provider, etc. The permission allocation module is used for extracting information uploaded by participants in the operation platform, obtaining operation services corresponding to the participants based on the information, classifying the participants into operation types established by the type classification module based on the participants' operation services, and granting the participants permissions belonging to the operation types within the operation platform.

[0008] As a further improvement of the technical solution, the dynamic form sending unit carries out customer order information. forThe platform inputs the order information, extracts demand based on the input order information, manages dynamic forms that are dynamically generated based on the customer's quality requirements that differ for each order, and obtains a dedicated dynamic form that belongs to the customer, thereby obtaining the customer's quality requirements for customized clothing.

[0009] As a further improvement of the technical solution, the dynamic form submission unit comprises a participant matching module. The participant matching module performs similarity matching according to the quality requirements of the dynamic form combined with the participant information, arranges for the participant with the highest similarity to the quality requirements in each production segment of the garment, displays the dynamic form to the participant who has been successfully matched, and allows the participant to produce the garment according to the dynamic form information.

[0010] As a further improvement of the technical solution, the production monitoring unit is composed of a set time module and a production monitoring module. The setting time module is used to predict the time required for the garment to be produced and sent to the customer based on the dynamic form information, and to set the time obtained by the prediction as the standard completion time. The production monitoring module monitors the completion progress data of the participants in the garment production, combines the completion progress data of all the participants in the dynamic form to predict the completion time of the order, compares the predicted completion time with the standard completion time, and if the comparison result shows that the predicted completion time is greater than the standard completion time, sends a prompt signal reminder to the participants so that the participants can improve the efficiency of the garment production. If the comparison result shows that the predicted completion time is equal to and less than the standard completion time, sends a prompt signal reminder to the participants so that the participants can improve the efficiency of the garment production. If the comparison result shows that the predicted completion time is equal to and less than the standard completion time, lets the participants continue monitoring.

[0011] As a further improvement of the technical solution, the apparel inspection unit includes a pass criterion setting module and a discrepancy detection module. The acceptance criteria setting module is used for setting production acceptance criteria according to customer requirements for the dynamic type garment, thereby setting the production acceptance criteria. The discrepancy detection module detects the quality and production of the garments produced by the participants. Passing criteria It is used to detect discrepancies in the production Passing criteria If the data requirements are met, the garment is marked as qualified, the garment is shipped to the customer, and the quality of the garment is confirmed by the production Passing criteria If the data requirements are not met, the garment will be marked as unqualified and feedback will be given to the participant so that they can try production again.

[0012] As a further improvement of the technical solution, the apparel inspection unit further includes a participant supervision module, which is used to supervise the detection process of the difference detection module for the apparel, and when the apparel is marked as unqualified, simultaneously marks the participant who caused the quality problem, and when the cumulative mark of the participant is more than three times, the operation is stopped. for Send a reminder message to the platform administrator to prompt them to replace the participant. If a participant is marked more than three times, the reminder message will not be activated. for It will be sent to the platform administrator, instructing them to replace the participant. Effect of the Invention

[0013] The textile and apparel customization operation platform system based on the collaborative C2M model of the present invention solves the problem of multiple entities simultaneously participating in the personalized and customized trading of apparel and textile products through the establishment of an operation platform, and allows trading participants to be effectively connected through the platform, realizing the coordinated operation and real-time communication between multiple entities participating in the transaction, while at the same time inspecting the quality of apparel and preventing the outflow of poor-quality products that will affect the factory's sales. Inspecting the quality of clothing can prevent the outflow of poor-quality products that will affect the factory's sales evaluation. [Brief description of the drawings]

[0014] [Figure 1] FIG. 1 is a schematic diagram of the overall structure of the present invention. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0015] The technical solutions in the embodiments of the present invention will be clearly and completely described in the following embodiments of the present invention with accompanying drawings, but it is clear that the described embodiments are only some of the embodiments of the present invention, and are not all of the embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative efforts belong to the protection scope of the present invention.

[0016] Example 1 Referring to Figure 1, this embodiment aims to provide a textile and apparel customization operation platform system based on a collaborative C2M model, which includes an operation platform establishment unit (10), a participant classification unit (20), a dynamic form sending unit (30), a production monitoring unit (40), and an apparel inspection unit (50). The operation platform establishment unit (10) is for establishing an operation platform. The operation platform establishment unit (10) establishes the operation platform through an open interface, uses a document-based database to record data, ensures that all raw data is retained, and uses unstructured data to meet the platform docking requirements of participants. The steps are as follows: Decide on a document database: Select, install, and configure an appropriate document-based database system, such as MongoDB or CouchDB. Design a data model: As per the business requirements, design an appropriate data model. Determine the data fields and data relationships that need to be recorded and create appropriate database collections or tables. Create an interface: Through an open interface, for Interfacing the platform with each participant's platform. The interface may be implemented using web services, APIs, or other communication protocols. Define a data logging interface: Define a data logging interface for each participant platform, including the URL for receiving data, the request method, and the data format. Ensure that the interface meets requirements for data completeness and accuracy. Data receiving and processing: Establish corresponding data receiving and processing logic on the operating platform to receive data from each participating platform, and verify, process and store the data. Record data using a document-based database: Depending on the data received, use the appropriate library functions or APIs to record the data in a document-based database. Ensure the integrity and consistency of each data record. Unstructured data processing: Appropriate techniques and tools can be used to process and transform unstructured data, for example using natural language processing techniques to analyze the text and extract key information. Data backup and archiving: Regular data backup and archiving can ensure that all original data is retained. Database backup tools and cloud backup services can be used. Such data backups will be transmitted to participants of the “Customize Clothing” multi-party transaction and registration for participation will be required.

[0017] The operation platform establishment unit (10) collects information on participants who cooperate with enterprises, and allows participants to register accounts on the operation platform and upload data. The operation platform uses mapping rules to extract key data required by the operation platform as input for the resource matching and matching algorithm. Previously, this was done manually, so only a small number of raw material suppliers and factories could be matched. The algorithm simulates manual resource allocation and matches the optimal allocation based on user preferences such as time priority and price priority. The steps are as follows: Establish participant information collection process: Determine what participant information needs to be collected, such as basic personal details, company information, project requirements, skills and expertise, etc. Design corresponding forms or interfaces for participants to fill out and submit the information. Create a participant registration account function: Luck for Create a registration account on the Platform, including username, password, and email address, and ensure the security and manageability of your account. Provide data upload functionality: After participants register an account, we provide a data upload function to help participants carry the necessary data files such as ID cards, company documents, project requirements documents, etc. for Make it available for uploading to the platform. Design imaging rules and key data extraction logic: Design imaging rules and key data extraction logic according to the requirements of resource matching and reconciliation algorithms. These rules and logic can be defined manually or automated using natural language processing and machine learning techniques. Extracting key data: Based on the imaging rules and key data extraction logic, extract the required key data from the participant's submitted data, including the participant's skill label, project requirement description, industry affiliation, etc. Data Storage and Management Store the extracted key data in a database or other data storage system to ensure data security and privacy controls. Executing resource matching and matching algorithms: The extracted key data is used as input for the resource matching and matching algorithm to execute the resource matching and matching operation. This algorithm is used to screen and match the best participants and companies for collaboration.

[0018] The participant classification unit (20) is used for classifying the joined participants according to the operation types, and granting the participants authority in the operation platform according to the classification result. The participant classification unit (20) includes a type classification module and a permission granting module. The type classification module is used to establish operation types based on the steps required for garment production and sales, such as buyers, intermediaries, manufacturers, suppliers, logistics providers, financial service providers, etc. The permission granting module is used to extract the information uploaded by the participants on the operation platform, obtain the corresponding participant's operation services according to the information, classify the participants according to the participants' operation services in the operation types established by the type classification module, and grant the participants the permissions belonging to the operation types in the operation platform. The steps are as follows: (1) Design participant information collection process: Design an information collection process for each participant type. Determine the information to be collected, such as individual / company name, contact information, scope of work, qualification certificate, etc. luck for Create a platform registration account and data upload function: for Create Participants' registration accounts on the Platform, provide data upload functionality and enable Participants to upload required data files, and ensure the security and manageability of the accounts. (2) Extraction of Participant Profile Information: Using appropriate techniques and tools, extract the required information from participant submissions based on key data required for each type of participant. This can be automated using techniques such as natural language processing and image recognition. (3) Luck for Service allocation and operation for Type classification: Based on the information in the participant's profile, for Allocate services and operate appropriately for Categorize into types. Determine specific operational services based on the participants’ business models and the roles they play accordingly. (4) Setting permissions and access control: Within each business type, set permissions and access control for participants, ensuring that only participants with the relevant permissions can perform operations and access resources. (5) Setting permissions for operation types within the operation platform: Permissions are set for each operation type for each participant on the operation platform. It is guaranteed that operations and access are only possible within the operation type to which the participant belongs.

[0019] Dynamic Form Submission unit (30) inputs customer order information into an operation platform, extracts requirements based on the input order information, and generates a dynamic form based on the extracted requirement information. Dynamic Form Submission unit30 inputs customer order information into the operation platform, obtains the customer's quality requirements for the customized clothing by extracting requirements based on the input order information, manages dynamic forms that are dynamically generated based on the customer's quality requirements that vary for each order, and obtains a dedicated dynamic form belonging to the customer. The steps are as follows: (1) Enter order information: On the order management page of the operating platform, enter customer order information, such as order number, customer name, contact information, and order date. (2) Demand extraction: Extract the customer's requirements for the quality of custom-made clothing according to the input order information, including requirements for the texture of the fabric, the tailoring method, details, functionality of the garment, etc. (3) Dynamic Form Design: Design dynamic forms according to different quality requirements and manage customer requirement details. Dynamic form templates can be created to meet different needs through the form design function of the operation platform. (4) Dynamic Form Generation: Depending on the quality requirements of customer orders, corresponding dynamic forms can be generated dynamically. Form fields and options can be dynamically filled in according to customer requirements such as fabric, cut, details, features, etc. (5) Provide a customer-specific dynamic form: Provide a customer with a dynamic form that is generated and specific to the customer. Usually, this is done by email or by operation. for Send the form link to your customer through the platform's message notification system. (6) Customer fills in the dynamic form: Customer clicks on the dynamic form link and fills in the form details. Customers can select appropriate options and provide relevant instructions according to their quality needs. (7) Dynamic form management: The operation platform can store the dynamic form data filled out by customers and associate it with order information, which makes it easier for enterprises to customize according to customer needs and provide customized clothing services that meet customers' quality requirements. The dynamic form is also sent within the operations platform for participants to view for production.

[0020] The dynamic form sending unit (30) comprises a participant matching module. The participant matching module matches the quality requirements in the dynamic form with the information of the participants, performs similarity matching, and places the participants with the highest similarity to the quality requirements in each production segment of the garment, and displays the dynamic form to the participants who are successfully matched, so that the participants can produce the garment according to the dynamic form information. The steps are as follows: (1) Extract quality requirements from dynamic forms: Extract fields and options related to quality requirements based on the dynamic form information filled out by the customer. (2) Similarity matching based on participant profile: Matching the similarity between the dynamic form information filled out by the customer and the participant profile. Similarity algorithms such as cosine similarity and Jaccard similarity can be used to calculate the matching degree of quality requirements. (3) Select the most similar participant: Based on the similarity matching result, select the participant with the highest similarity to the quality requirements. Based on the calculated similarity value, participants can be ranked and selected. (4) Assign participants to each production step: The successfully matched participants are assigned to each garment manufacturing step, such as fabric procurement, tailoring, and detailing. Each step is assigned to the participant with the highest similarity to the quality requirements. (5) Display of successful participants: Display information of successful participants to customers. for Displaying it on the platform can increase customer understanding and participant choice. (6) According to the information in the dynamic form, participants produce clothes: According to the quality requirements of the dynamic form, participants carry out the corresponding clothing production work. According to the assigned production process and quality requirements, participants ensure that the produced clothes meet the customer requirements.

[0021] The production monitoring unit (40) is used to set a completion standard time according to the dynamic form sending unit generated by the dynamic form sending unit (30), monitor the production progress of the participants, predict the completion time according to the monitoring result of the order completion time, compare the predicted completion time with the completion time of the standard time for comparison, and send an expedited signal reminder to the participants when the prediction of the completion time is greater than the completion of the standard time of the comparison result. The production monitoring unit (40) includes a set time module and a production monitoring module. The setting time module is used to predict the time required for the garment to be produced and sent to the customer according to the dynamic form information, and set the predicted time as the standard completion time. The steps are as follows: (1) Collect historical data: Collect data on past garment production and delivery, such as order completion time, production time, logistics time, and delivery time. (2) Analyze historical data: The collected historical data is analyzed using regression analysis to explore the influence of various factors on garment production and delivery time. (3) Building a predictive model: A predictive model is built based on the analysis results and historical data to predict how long it will take to produce and ship the garment to the customer. The model can be built using machine learning algorithms. (4) Dynamic form information input: Dynamic form information filled in by the customer, including quality requirements, garment specifications, and other information, is used as input for the model. (5) Perform time prediction: Use the prediction model to predict the production and delivery time of the garment. Using the dynamic form information as input, the model outputs the expected completion time. (6) Setting standard completion time: The completion time obtained from the prediction is set as the standard completion time. This time is used as the time target for the entire production process.

[0022] The production monitoring module monitors the completion progress data of all participants participating in the garment production, combines the completion progress data of all participants in a dynamic form to predict the completion time of the order, compares the predicted completion time with the completion standard time, and if the predicted completion time of the comparison result is greater than the completion standard time, sends a reminder to the participant to speed up the signal, so that the participant can improve the garment production efficiency: If the predicted completion time of the comparison result is greater than the completion standard time, sends a reminder to the participant to speed up the signal, so that the participant can improve the garment production efficiency: (1) Monitor participants' progress data: for A monitoring system will be set up on the platform to collect participants' completion progress data on apparel production, including the progress and time consumed of each production link. (2) Consolidate participant progress data: Combine all participant progress data from dynamic forms and calculate overall progress and duration. (3) Order Completion Time Prediction: Based on participants’ completion progress data and historical data, a predictive model is used to predict the order completion time. (4) Compare predicted completion time to standard completion time: Compare the predicted order completion time to the standard completion time. (5) Send rush signal alert: If the predicted completion time is longer than the standard completion time, send a rush signal alert to participants to motivate them to improve their productivity. (6) Continue monitoring: If the predicted completion time is less than or equal to the completion criteria time, continue to monitor the progress of the participants to ensure that the order is completed on time. The formula is as follows: Compare the estimated completion time to the completion criteria time: If the estimated completion time > standard completion time, a speed signal is sent to encourage participants to speed up production. If the predicted completion time is less than or equal to the standard completion time, continue monitoring.

[0023] The apparel inspection unit (50) is used to obtain apparel data uploaded by participants in the dynamic form, set production qualification standards based on the dynamic form information, detect differences between the apparel data and the production qualification standards, and send the apparel produced by the participants to customers based on the detection result being pass. The apparel inspection unit (50) includes a fit criteria setting module and a discrepancy detection module. The fit criteria setting module is used to set the production fit criteria according to the customer's requirements for the garment in the dynamic form, so that the production fit criteria is set. The difference detection module is used to detect the difference between the quality of the clothes produced by the participants and the production qualification standard, and if the quality of the clothes meets the data requirements of the production qualification standard, the clothes are marked as qualified and the clothes are shipped to the customer, and if the quality of the clothes does not meet the data requirements of the production qualification standard, the clothes are marked as unqualified and feedback is given to the participants so that they can reproduce the clothes. The steps are as follows: According to customer requirements for clothing, production qualification standards are determined, including requirements for fabric quality, cutting precision, sewing techniques, etc. Conduct quality inspection of the clothes produced by the participants and collect corresponding quality data, which can be done using visual inspection, physical testing, etc., to obtain data on the quality characteristics of the clothes. The quality data of the garments produced by the participants will be tested for discrepancies with production qualification standards. Statistical methods and rule engines can be used for judgment and evaluation. If the quality of the garment meets the data requirements of the production qualification standard, the garment will be labeled as qualified and the subsequent shipping process will be carried out and shipped to the customer. If the quality of the garment does not meet the data requirements of the production qualification standard, the garment will be marked as unqualified, feedback will be provided to the participant, and the participant will be required to reproduce the garment.

[0024] The apparel inspection unit (50) further comprises a participant supervision module. 。 The participant supervision module is used to supervise the apparel inspection process by the difference inspection module, and when the apparel is marked as unqualified, it also supervises the participant who caused the quality problem, and when the participant is marked more than three times cumulatively, it will supervise the participant who caused the quality problem, and ... for Send a reminder message to the platform administrator, asking them to replace the participant. To do this: (1) Setting up a participant monitoring module: A participant monitoring module is installed on the operation platform to monitor the garment inspection process by the discrepancy detection module. (2) Setting participant marking rules: For example, if a garment is marked as non-compliant, mark the corresponding participant. (3) Marking quality issues: When the inconsistency detection module marks a garment as non-conforming, it also marks the participant who caused the quality issue. (4) Cumulative Marking Monitoring: Monitor the number of times a participant has been marked as causing a quality issue and record the number of times each participant has been marked. Send reminder message: If a participant's cumulative mark count exceeds 3, for A reminder message will be sent to the platform administrators, prompting them to replace participants or take other necessary measures.

[0025] The basic principle, main features and advantages of the present invention have been shown and described above. Those skilled in the art should understand that the present invention is not limited to the above embodiments, and the above embodiments and the description in the specification are merely preferred examples of the present invention and are not used to limit the present invention, and various modifications and improvements can be made to the present invention without departing from the spirit and scope of the present invention, which are within the scope of the invention to be protected and claimed. The scope of the protection claims of the present invention is defined by the appended claims and their equivalents. [Explanation of symbols]

[0026] (10) Operational Platform Establishment Unit (20) Participant classification unit (30) Dynamic Form Submission Unit (40) Production Monitoring Unit (50) Apparel Inspection Unit

Claims

1. A textile and apparel customization operation platform system based on a collaborative C2M model, characterized in that it comprises an operation platform establishment unit (10), a participant classification unit (20), a dynamic form sending unit (30), a production monitoring unit (40) and an apparel inspection unit (50); The operating platform establishment unit (10) is used for establishing an operating platform, sending participation registrations to participants in the clothing customization multi-party transaction, and registering and participating; The participant classification unit (20) classifies the participating participants according to the operation types, and grants permissions to the participants in the operation platform according to the classification result; The dynamic form sending unit (30) is used for inputting customer order information into the operation platform, extracting demand according to the input order information, generating a dynamic form according to the extracted demand information, and sending the dynamic form to the operation platform for participants to view for production; The production monitoring unit (40) sets a completion reference time according to the dynamic form generated by the dynamic form sending unit (30), monitors the production progress of the participant, predicts the completion time of the order according to the monitoring result, compares the predicted completion time with the completion reference time, and sends an expedited signal reminder to the participant when the predicted completion time is greater than the completion reference time in the comparison result; The apparel inspection unit (50) is used to acquire apparel data uploaded by participants in a dynamic form, set production pass criteria based on the dynamic form information, detect the difference between the apparel data and the production pass criteria, and send the apparel produced by the participants to customers according to the pass detection result, in the textile and apparel customization operation platform system based on a collaborative C2M model.

2. The textile and apparel customization operation platform system based on the collaborative C2M model as described in claim 1, characterized in that the operation platform establishment unit (10) records data via an open interface using a document-based database so that all raw data is retained, and at the same time establishes the operation platform using unstructured data to meet the platform docking requirements of all party participants.

3. The textile and apparel customization operation platform system based on the collaborative C2M model as described in claim 1, characterized in that the operation platform establishment unit (10) collects information of participants cooperating with the enterprise, and enables the participants to register accounts on the operation platform and upload data, and the operation platform uses mapping rules to extract key data required for the operation platform as input for resource matching and input to the matching algorithm.

4. The textile and apparel customization operation platform system based on a collaborative C2M model as described in claim 1, wherein the participant classification unit (20) comprises a type classification module and a permission allocation module, The type classification module is used to establish an operation type based on the steps required to complete the production and sale of the garment, the operation type including a buyer, an intermediary, a manufacturer, a supplier, a logistics provider, and a financial service provider; The permission allocation module is used to extract information uploaded by participants in the operation platform, obtain operation services corresponding to the participants based on the information, classify the participants into operation types established by the type classification module based on the participants' operation services, and grant the participants permissions belonging to the operation types in the operation platform.

5. The textile and apparel customization operation platform system based on the collaborative C2M model described in claim 1, characterized in that the dynamic form sending unit (30) obtains customer quality requirements for apparel customization by inputting customer order information into the operation platform and extracting requirements based on the input order information, and manages dynamic forms based on each ordering customer, dynamically generates dynamic forms according to different quality requirements of each order, and obtains dedicated dynamic forms belonging to the customer.

6. The textile and apparel customization operation platform system based on a collaborative C2M model as described in claim 1, characterized in that the dynamic form sending unit (30) comprises a participant matching module, The textile and apparel customization operation platform system based on the collaborative C2M model as described in claim 1, characterized in that the participant matching module combines the quality requirements of the dynamic form with the information of the participants to perform similarity matching, arranges the participants with the highest similarity to the quality requirements in each production section of the garment, displays the dynamic form to the participants who are successfully matched, and allows the participants to carry out garment production according to the information of the dynamic form.

7. The textile and apparel customization operation platform system based on a collaborative C2M model as described in claim 1, wherein the production monitoring unit (40) is composed of a set time module and a production monitoring module, The setting time module is used to predict the time required for completing the production of the garment and sending it to the customer based on the dynamic form information, and to set the time obtained by the prediction as a standard completion time; The production monitoring module monitors the completion progress data of the participants in the garment production, combines the completion progress data of all the participants in the dynamic form, predicts the completion time of the order, compares the predicted completion time with the standard completion time, and if the comparison result shows that the predicted completion time is greater than the standard completion time, sends a prompt signal reminder to the participant, so that the participant can improve the efficiency of garment production, and the garment production efficiency is improved; if the comparison result shows that the predicted completion time is equal to the completion standard time and less than or equal to the completion standard time, then maintains continuous monitoring.

8. The textile and apparel customization operation platform system based on the collaborative C2M model according to claim 1, wherein the apparel inspection unit (50) comprises a pass criterion setting module and a discrepancy detection module, The pass standard setting module is used to set a production pass standard according to customer requirements for the dynamic form of the garment, and the pass standard setting module is used to set the production pass standard; the discrepancy detection module is used to detect a discrepancy between the quality of the garment produced by the participant and the production pass standard, and if the quality of the garment meets the data requirements of the production pass standard, mark the garment that meets the data requirements as qualified and execute shipment to the customer; if the quality of the garment does not meet the data requirements of the production pass standard, mark the garment that does not meet the data requirements as unqualified, give feedback to the participant, and allow the participant to execute production again.

9. The textile and apparel customization operation platform system based on the collaborative C2M model as described in claim 8, characterized in that the apparel inspection unit (50) further includes a participant supervision module, which is used to supervise the inspection process of the apparel by the discrepancy detection module, and when the apparel is marked as unqualified, and at the same time, when a participant who caused a quality issue has been marked three or more times cumulatively, a reminder message is sent to an administrator of the operation platform to prompt the administrator to replace the participant.

Images