Textile and apparel customization operation platform system based on cooperation c2m (customer-to-manufacture) model

Abstract

To provide a textile and apparel customization operation platform system based on a cooperation C2M model.SOLUTION: An operation platform establishment unit is used for establishing an operation platform and sending the operation platform to participants of garment customization multi-party transaction for registration and joining. A participant classification unit is used for classifying the participants according to operation types and giving permissions to the participants in the operation platform according to classification results. By establishing an operation platform, the problem that multiple subjects participate in personalized customization transactions of clothes and textiles at the same time is solved, all transaction participants achieve collaborative operation and real-time communication of multiple transaction parties through effective connection of the platform, meanwhile, the quality of clothes is detected, and the situation that poor-quality products flow out and influence the public praise of factory sales can be avoided.SELECTED DRAWING: Figure 1

Description

Technical Field

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

Background Art

[0002] Generally, based on the C2M mode of the custom operation platform system for clothing, to solve the problem, it is a single, point-to-point management, that is, between the customer and the manufacturer (merchant) (C2M). When the production of the factory requires multi-party cooperation, the production of clothing alone cannot be completed. 。 For example, the order of raw materials required exceeding the factory's inventory needs to be purchased from a third party. 。 Or the order of participation of other participants cannot be automatically completed by the system, and it is necessary to switch to other systems or manual intervention. 。 Other participants such as factories and communications bring a time lag in information. For other participants caused by the production of factories with a large number of orders, at the first time of arranging for the completion of clothing, it is impossible to predict the time until the production of clothing is completed. 。 As a result, in the view of the proposal based on the multi-party cooperation of the C2M model of the fiber and clothing custom operation platform system, the production of clothing may be longer than the time requirements of the user.

Summary of the Invention

Problems to be Solved by the Invention

[0003] The object of the present invention is to cooperate in order to solve the above problems raised in the background art. Working type Fiber based on the C2M model and Apparel customization operationTo provide a platform system.

Means for Solving the Problems

[0004] To achieve the above object, a fiber and apparel customization operation platform system based on a joint C2M model composed of an operation platform establishment unit, a participant classification unit, a dynamic form transmission unit, a production monitoring unit, and an apparel inspection unit is provided. The operation platform establishment unit establishes an operation platform and sends participation registration to participants in multiple-party transactions for clothing customization. The participant classification unit classifies the participating participants according to the type of operation and is used to grant permissions to the participants within the operation platform according to the classification results. The dynamic form transmission unit inputs the customer's order information into the operation for platform, extracts demands based on the input order information, generates a dynamic form based on the extracted demand information, and transmits the dynamic form for participants to view for production to the operation for platform. The production monitoring unit sets a completion standard time according to the dynamic form generated by the dynamic form transmission unit, monitors the production progress of the participant, predicts the order completion time according to the monitoring result, compares the predicted completion time with the completion standard time, and if the predicted completion time is greater than the completion standard time in the comparison result, sends a reminder of the acceleration signal to the participant. The apparel inspection unit acquires the apparel data uploaded by the participant into the dynamic form, sets production qualification criteria based on the dynamic form information, detects the inconsistency between the apparel data and the production qualification criteria, and based on the qualified detection result, sends the apparel produced by the participant to the customer.

[0005] As a further improvement of this 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. At the same time, it uses unstructured data to establish an operation platform so as to meet the platform docking requirements of all relevant participants.

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

[0007] As a further improvement of this technical solution, the participant classification unit is composed of a type classification module and a permission assignment module. The type classification module is used to establish operation types based on the steps required to complete the production and sales of clothes, such as buyers, intermediaries, manufacturers, suppliers, logistics operators, financial service providers, etc. The permission assignment module extracts the information uploaded by the participants on the operation platform, obtains the operation services corresponding to the participants based on the information, classifies the participants within the operation types established by the type classification module based on the operation services of the participants, and is used to grant the participants the permissions belonging to the operation types within the operation platform.

[0008] As a further improvement of this technical solution, the dynamic form sending unit forwards the customer's order information forInput into the platform, extract demand based on the input order information, manage a dynamic form that is dynamically generated based on the quality requirements of different customers for each order, and obtain the dedicated dynamic form belonging to the customer, thereby obtaining the customer's quality requirements for customized clothing.

[0009] As a further improvement of this technical solution, the dynamic form sending unit is provided with a participant matching module. The participant matching module performs similarity matching according to the quality requirements of the dynamic form combined with participant information, arranges the participant with the highest similarity to the quality requirements in each production segment of the clothing, displays the dynamic form to the participant who has succeeded in the matching, and enables the participant to produce the clothing according to the dynamic form information.

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

[0011] As a further improvement of the technical solution, the apparel inspection unit includes a pass standard setting module and a discrepancy detection module. The pass standard setting module is used to set production pass standards according to customer requirements for dynamic clothing, thereby setting production pass standards. The discrepancy detection module is used to detect discrepancies between the quality of the clothing produced by the participant and the production passing criteria When the quality of the clothing meets the production passing criteria data requirements, the clothing is marked as qualified and shipped to the customer. When the quality of the clothing does not meet the production passing criteria data requirements, the clothing is marked as unqualified, feedback is given to the participant, and the participant can produce again.

[0012] As a further improvement of the technical solution, the apparel inspection unit further includes a participant supervision module. The participant supervision module is used to supervise the detection process of the difference detection module for apparel. When the apparel is marked as unqualified, the participant who caused the quality problem is marked at the same time. When the cumulative mark of the participant reaches 3 times or more, a reminder message is sent to the administrator of the operation for platform, prompting the administrator to replace the participant. When the participant is marked 3 times or more, a reminder message is sent to the administrator of the operation for platform, prompting the administrator to replace the participant.

Advantages of the Invention

[0013] The fiber and apparel customization operation platform system based on the collaborative C2M model of the present invention solves the problem that multiple entities participate in the individualized and customized transactions of apparel and fiber products simultaneously through the establishment of an operation platform, enables trading participants to be effectively connected through the platform, realizes the collaborative operation and real-time communication among multiple entities participating in the transaction, and at the same time can inspect the quality of apparel and avoid the outflow of poor-quality products that affect the factory sales. By inspecting the quality of clothing products, it is possible to prevent the outflow of defective products that affect the factory sales evaluation.

Brief Description of the Drawings

[0014]

Figure 1

Embodiments for Carrying Out the Invention

[0015] Hereinafter, the technical solutions in the embodiments of the present invention will be clearly and completely described in the embodiments of the present invention together with the accompanying drawings. It is obvious that the described embodiments are only a part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative labor belong to the protection scope of the present invention.

[0016] (Example 1) Referring to FIG. 1, the present embodiment aims to provide a fiber and apparel customization operation platform system based on a collaborative C2M model, including 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 an operation platform via an open interface, uses a document - type database to record data, ensures that all raw data is retained, and uses unstructured data to meet the platform docking requirements of participants. The procedure is as follows: Determine the document - type database: Select an appropriate document - based database system such as MongoDB, CouchDB, etc., and perform installation and configuration. Design the data model: According to 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 the interface: Interface the operation platform with each participant's platform via an open interface. The interface can be implemented using web services, APIs, or other communication protocols. for Define the data logging interface: Define the data logging interface for each participant platform, including the URL, request method, and data format for receiving data. Ensure that the interface of the interface meets the requirements for data integrity and accuracy. Receive and process data: Establish corresponding data reception and processing logic on the operation platform, receive data from each participating platform, and verify, process, and save the data. Record data using a document - based database: According to the received data, use appropriate library functions or APIs to record the data in the document - based database. Ensure the integrity and consistency of each data record. Process unstructured data: Appropriate technologies and tools can be used for the processing and conversion of unstructured data. For example, use natural language processing technology to analyze text and extract important information. ​Data Backup and Archiving: By regularly backing up and archiving data, all original data can be reliably retained. Database backup tools or cloud backup services can be utilized. Such data backups are sent to the participants in the "clothing customization" multi-party transaction, and participation registration is required.

[0017] The operation platform establishment unit (10) collects information on participants who cooperate with the enterprise, enables participants to register an account on the operation platform and upload data, and the operation platform uses mapping rules to extract the main data required by the operation platform as input for resource matching and matching algorithms. Conventionally, since it was done manually, only a small number of raw material suppliers and factories could be matched. This algorithm simulates the manual allocation of resources and matches the optimal allocation based on user preferences such as time priority and price priority. The procedure is as follows: Establish a participant information collection process: Determine the participant information that needs to be collected, such as basic personal information, enterprise information, project requirements, skills, and expertise. Design corresponding forms and interfaces for participants to fill in and submit information. Create a participant registration account function: for Create a registration account function on the platform, such as username, password, email address, etc. Ensure the security and manageability of the account. Provide a data upload function: After the participant registers an account, provide a data upload function so that the participant can upload the required data files, such as ID cards, enterprise documents, project requirement documents, etc., to the for 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 matching algorithms. These rules and logics can be defined manually or automated using natural language processing and machine learning technologies. Extraction of key data: Extract the necessary key data from the participant-submitted data based on the imaging rules and key data extraction logic. These data include the participant's skill labels, descriptions of project requirements, industry affiliations, etc. Data storage and management: Save the extracted key data in a database or other data storage system, and ensure data security and privacy management. Resource matching and execution of matching algorithms: Use the extracted key data as input for resource matching and matching algorithms, and execute resource matching and matching operations. This algorithm is used to select and match the most suitable participants and enterprises for joint work.

[0018] The participant classification unit (20) classifies the participating participants according to the type of operation, and is used to grant permissions to the participants within the operation platform based on the classification results. The participant classification unit (20) includes a type classification module and a permission granting module. The type classification module is used to establish the operation type based on the steps required for the production and sales of clothing, such as buyers, intermediaries, manufacturers, suppliers, logistics providers, financial service providers, etc. The permission granting module extracts the information uploaded by the participant on the operation platform, obtains the corresponding operation service of the participant according to the information, classifies the participant according to the operation service of the participant within the operation type established by the type classification module, and is used to grant the permission belonging to the operation type within the operation platform to the participant. The procedure is as follows: (1) Design of Participant Information Collection Process: Design the information collection process corresponding to each participant type. Determine the information to be collected, such as personal / company name, contact information, business scope, and certificates of qualification. Operation for Create Platform Registration Account and Data Upload Function: Operation for Create a registered account for participants on the platform and provide a data upload function so that participants can upload the required data files. Ensure the security and manageability of the account. (2) Extraction of Participant Profile Information: Use appropriate technologies and tools to extract the required information from the participants' submissions based on the main data required for each participant type. This can be automated using technologies such as natural language processing and image recognition. (3) Operation for Service Allocation and Operation for Type Classification: Based on the information in the participants' profiles, allocate appropriate operation for services to the participants and classify them into appropriate operation for types. Determine specific operation services based on the participants' business models and their corresponding roles. (4) Set Permissions and Access Controls: Within each business type, set permissions and access controls for the participants. Ensure that only participants with relevant permissions can perform operations and access resources. (5) Set Permissions for Operation Types within the Operation Platform: For each participant on the operation platform, set permissions for each operation type. Ensure that operations and access are only possible within the operation types to which the participants belong.

[0019] Dynamic Form Submission unit (30) Inputs the customer's order information into the 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 the customer's order information into the operation platform, extracts requirements based on the input order information, obtains the customer's quality requirements for customized clothing, manages the dynamic form dynamically generated based on the different customer quality requirements for each order, and obtains the dedicated dynamic form belonging to the customer. The procedure is as follows: (1) Input order information: On the order management page of the operation platform, input the customer's order information such as order number, customer name, contact information, and order date. (2) Requirement extraction: Extract the requirements for the quality of the customer's made-to-order clothing according to the input order information. This includes requirements for fabric texture, tailoring method, details, clothing functionality, etc. (3) Dynamic form design: Design a dynamic form according to various quality requirements and manage the customer's requirement details. The dynamic form template can be created according to different needs by the form design function of the operation platform. (4) Dynamic form generation: Dynamically generate the corresponding dynamic form according to the quality requirements of the customer order. Dynamically input the fields and options of the form according to the customer's requirements such as fabric, cut, details, and function. (5) Provide a dedicated dynamic form for the customer: Provide the generated dedicated dynamic form for the customer. Usually, send the form link to the customer through email or the message notification system of the operation platform. for (6) The customer inputs into the dynamic form: The customer clicks on the link of the dynamic form and inputs the details of the form. The customer can select appropriate options or fill in relevant instructions according to their own quality needs. (7) The operation platform receives the customer's input information: The operation platform receives the information input by the customer through the dynamic form, and then uses this information for subsequent processing and production. (7) Management of dynamic forms: The operation platform can save the data of the dynamic forms filled in by customers and associate them with order information. This makes it easier for enterprises to customize according to customer needs and provide customized clothing services that meet customer quality requirements. Also, the dynamic form is sent within the operation platform so that participants can view it for production.

[0020] The dynamic form sending unit (30) is composed of a participant matching module. The participant matching module compares the quality requirements of the dynamic form with the information of the participants, performs similarity matching, arranges the participants with the highest similarity to the quality requirements in each production segment of the clothing, displays the dynamic form to the participants who have successfully matched, and enables the participants to produce clothing according to the dynamic form information. The procedure is as follows: (1) Extract quality requirements from the dynamic form: Based on the dynamic form information filled in by the customer, extract the fields and options related to the quality requirements. (2) Similarity matching based on the participant profile: Match the similarity between the dynamic form information filled in by the customer and the participant profile. Similarity algorithms such as cosine similarity and Jaccard similarity can be used to calculate the degree of consistency of the quality requirements. (3) Select the participant with the highest similarity: Based on the similarity matching results, select the participant with the highest similarity to the quality requirements. Based on the calculated similarity values, the participants can be ranked and selected. (4) Arrange participants in each production step: Assign the participants who have successfully matched to each manufacturing process of the clothing, such as fabric procurement, tailoring, and details. Ensure that the participant with the highest similarity to the quality requirements is responsible for each process. (5) Display of successful participants: Display the information of successful participants to the customer. By displaying relevant information such as the name, qualifications, and evaluations of the participants on the for platform, the understanding of the customer and the selection of participants can be enhanced. (6) Participants produce clothing according to the information in the dynamic form: The participants perform corresponding clothing production operations according to the quality requirements of the dynamic form. According to the assigned production process and quality requirements, the participants ensure that the produced clothing meets the customer's requirements.

[0021] The production monitoring unit (40) sets the standard completion time according to the dynamic form transmitted by the dynamic form transmission unit (30) and is used to monitor the production progress of the participants. According to the monitoring result of the order completion time, it predicts the completion time, compares the predicted completion time with the standard completion time for comparison, and if the prediction of the completion time is greater than the standard completion of the comparison result, it sends a reminder of the acceleration signal to the participant. The production monitoring unit (40) includes a setting time module and a production monitoring module. The setting time module is used to predict the time required for the clothing 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 procedure is as follows: (1) Collect past data: Collect data related to the production and delivery of past clothing, such as order completion time, production time, logistics time, delivery time, etc. (2) Analyze historical data: Analyze the collected historical data using regression analysis to explore the influence of various factors on clothing production and delivery time. (3) Build a prediction model: Build a prediction model based on the analysis results and historical data to predict the time required for clothing production and shipment to the customer. The model can be built using machine learning algorithms. (4) Input dynamic form information: Use the dynamic form information filled in by the customer, including quality requirements, clothing specifications, and other information, as the input of the model. (5) Perform time prediction: Use the prediction model to predict the production and delivery time of the clothes. With the information of the dynamic form as the input, the model outputs the expected completion time. (6) Set the standard completion time: Set the completion time obtained from the prediction 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 involved in the clothing production, combines the completion progress data of all participants in a dynamic form to predict the order completion time, compares the predicted completion time with the standard completion time. If the predicted completion time of the comparison result is greater than the standard completion time, a reminder is sent to the participants to signal to speed up, and the participants can improve the production efficiency of the clothes. If the predicted completion time of the comparison result is greater than the completion standard time, a reminder is sent to the participants to signal to speed up so that the participants can improve the production efficiency of the clothes: (1) Monitor the completion progress data of participants: Oper for Install a monitoring system on the platform to collect the completion progress data of participants related to apparel production, such as the progress status and consumption time of each production link. (2) Summarize the progress data of participants: Combine the progress data of all participants from the dynamic form and calculate the overall progress and required time. (3) Predict the order completion time: Use the prediction model to predict the order completion time based on the completion progress data and historical data of the participants. (4) Compare the predicted completion time with the standard completion time: Compare the predicted order completion time with the standard completion time. (5) Send a rush signal alert: If the predicted completion time is longer than the standard completion time, send a rush signal alert to the participants to enhance the motivation for productivity improvement. (6) Continue monitoring: If the predicted completion time is below the completion standard time, continue to monitor the progress of the participants so that the order is completed on time. The formula is as follows: Compare the predicted completion time with the standard completion time: If the predicted completion time > the standard completion time, a prompt signal is sent to encourage the participant to increase the production speed. If the predicted completion time ≤ the standard completion time, monitoring continues.

[0023] The apparel inspection unit (50) acquires the apparel data uploaded by the participant into the dynamic form, sets production eligibility criteria based on the dynamic form information, detects the difference between the apparel data and the production eligibility criteria, and is used to send the apparel produced by the participant to the customer based on the detection result being qualified. The apparel inspection unit (50) includes a compliance criteria setting module and a discrepancy detection module. The compliance criteria setting module is used to set production compliance criteria according to the customer's requirements for the apparel in the dynamic form, thereby setting the production compliance criteria. The discrepancy detection module is used to detect the difference between the quality of the apparel produced by the participant and the production eligibility criteria. If the quality of the apparel meets the data requirements of the production eligibility criteria, the apparel is marked as eligible and shipped to the customer. If the quality of the apparel does not meet the data requirements of the production eligibility criteria, the apparel is marked as ineligible and feedback is provided to the participant so that the participant can reproduce the apparel. The procedure is as follows. According to the customer's requirements for the apparel, determine the production eligibility criteria including requirements such as the quality of the fabric, cutting accuracy, and sewing technology. Conduct a quality inspection on the apparel produced by the participant and collect the corresponding quality data. This can be done using visual inspection, physical testing, etc., to obtain data on the quality characteristics of the apparel. The quality data of the apparel produced by the participant is tested for discrepancies with the production eligibility criteria. Statistical methods and rule engines can be used for judgment and evaluation. If the quality of the apparel meets the data requirements of the production eligibility criteria, a label of eligible is attached to the apparel, and the subsequent shipping process is executed and shipped to the customer. If the quality of the clothing does not meet the data requirements of the production qualification criteria, the clothing will be marked as unqualified, feedback will be provided to the participant, and the participant will be required to reproduce the clothing.

[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 discrepancy inspection module. When the apparel is marked as unqualified, at the same time, it supervises the participant who caused the quality problem. If the participant is marked three or more times cumulatively, it for Sends a reminder message to the administrator of the platform and prompts the administrator to replace the participant. The procedure is as follows: (1) Set up the participant monitoring module: Install the participant monitoring module on the operation platform to monitor the inspection process of the clothing by the discrepancy detection module. (2) Set the participant marking rule: For example, when the clothing is marked as non-conforming, mark the corresponding participant. (3) Mark the quality problem: When the discrepancy detection module marks the clothing as non-conforming, also mark the participant who caused the quality problem. (4) Cumulative marking monitoring: Monitor the number of times a participant is marked as the cause of a quality problem and record the number of times each participant is marked. Send a reminder message: When the cumulative marking times of a participant exceed three times, the for Platform administrator will be sent a reminder message, and the administrator will be urged to implement measures such as replacing the participant and 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 by the above embodiments, and the above embodiments and the descriptions in the specification are merely preferred examples of the present invention and are not used to limit the present invention. Various changes and improvements can be made to the present invention without departing from the spirit and scope of the present invention, and they should belong to the scope of the present invention claimed for protection. The scope of the protection of the present invention is defined by the appended claims and their equivalents.

Explanation of Reference Numerals

[0026] (10) Operation Platform Establishment Unit (20) Participant Classification Unit (30) Dynamic Form Transmission Unit (40) Production Monitoring Unit (50) Apparel Inspection Unit

Claims

1. A textile and apparel customization operating platform system based on a collaborative C2M model, characterized in that it comprises an operating 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, transmitting, registering and participating participants in the clothing customization multi-party trading; 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 operating 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 operating 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 obtain apparel data uploaded by participants in a dynamic form, set production qualification standards based on the dynamic form information, detect the difference between the apparel data and the production qualification standards, 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 operation platform establishment unit (10) of the textile and apparel customization operation platform system based on the collaborative C2M model according to claim 1, characterized in that the operation platform establishment unit (10) uses a document-based database to record data through an open interface 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 a multi-party collaborative C2M model as claimed in claim 1, characterized in that the operation platform establishment unit (10) 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 image rules to extract key data required by the operation platform as input for resource matching and input for matching algorithm.

4. The textile and apparel customization operation platform system based on a multi-party collaborative C2M model according to 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 operating platform system based on the collaborative C2M model as claimed in claim 1, characterized in that the dynamic form sending unit (30) inputs customer order information into the operating platform, extracts requirements based on the input order information, thereby obtaining customer quality requirements for apparel customization, manages dynamic forms based on each ordering customer, and dynamically generates dynamic forms according to different quality requirements of each order to obtain dedicated dynamic forms belonging to the customer.

6. The textile and apparel customization operation platform system based on collaborative C2M model as claimed in claim 1 , wherein the dynamic form sending unit (30) comprises a participant matching module. The textile and apparel customization operating platform system based on a 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 work platform system based on the collaborative C2M model according to claim 1, characterized in that the production monitoring unit (40) is composed of a setting 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 participants, so that the participants can improve the efficiency of the garment production. The garment production efficiency is improved, and if the comparison result shows that the predicted completion time is equal to and less than the standard completion time, the continuous monitoring is maintained.

8. The textile and apparel customization work platform system based on a multi-party collaborative C2M model according to claim 1, wherein the apparel inspection unit (50) is composed of a setting acceptance criteria module and a discrepancy detection module, The setting acceptance criteria module is used for setting a production acceptance criteria according to the customer's requirements for the dynamic type garment, thereby setting the production acceptance criteria; The discrepancy detection module is used to detect discrepancies between the quality of the garment produced by the participant and the production qualification standard, and if the quality of the garment meets the data requirements of the production qualification standard, marks the garment as qualified and executes shipment to the customer, and if the quality of the garment does not meet the data requirements of the production qualification standard, marks the garment as unqualified, gives feedback to the participant, and lets the participant execute production again.

9. The textile and apparel customization operating platform system based on the collaborative C2M model of 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 inspection module, and when the apparel is marked as unqualified, at the same time, when a participant who caused a quality problem has been marked three or more times in total, a reminder message is sent to an administrator of the operating platform to prompt the administrator to replace the participant.

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