CN117670482A - C2M mode textile and clothing customization operation platform system based on multiparty cooperation - Google Patents
C2M mode textile and clothing customization operation platform system based on multiparty cooperation Download PDFInfo
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Abstract
The invention relates to the technical field of clothing customization operation. The invention relates to a C2M mode textile and clothing customizing operation platform system based on multiparty cooperation. The system comprises an operation platform building unit, a participant classifying unit, a dynamic form transmitting unit, a production monitoring unit and a garment detecting unit; the operation platform building unit is used for building an operation platform and sending the operation platform to participants of the clothing customization multi-party transaction for registration and joining; the participant classifying unit is used for classifying the added participants according to the operation types and giving rights to the participants in the operation platform according to the classification result; by establishing an operation platform, the problem that a plurality of main bodies participate simultaneously in personalized custom-made transactions of clothes and textiles is solved, and each transaction participant realizes cooperative operation and real-time communication of transaction multiparties through effective connection of the platform, and meanwhile, quality of the clothes is detected, so that poor-quality products are prevented from flowing out, and sales public praise of factories is prevented from being influenced.
Description
Technical Field
The invention relates to the technical field of clothing customization operation, in particular to a C2M mode textile based on multiparty cooperation and a clothing customization operation platform system.
Background
In general, a custom-made operation platform system for clothing based on a C2M mode is only used for single point-to-point management, namely, between customers and manufacturers (merchants) (C2M), when factory production needs multiparty cooperation and cannot finish production of clothing alone, for example, raw materials required by orders need to be purchased to a third party beyond factory inventory, or the orders have other participants to participate, the system cannot be completed automatically, and the system needs to be converted into other systems or manual intervention, when the factory is communicated with other participants, information time difference is caused, and other participants need to produce in sequence due to large production order quantity of the factory, so that first time arrangement cannot be performed, production time of clothing completion cannot be predicted, and production period of clothing may be larger than time requirement of users.
Disclosure of Invention
The invention aims to provide a C2M mode textile and clothing customized operation platform system based on multiparty cooperation so as to solve the problems in the background technology.
In order to achieve the above purpose, the textile and clothing customizing operation platform system based on the C2M mode of multiparty cooperation is provided, which comprises an operation platform building unit, a participant classifying unit, a dynamic form transmitting unit, a production monitoring unit and a clothing detecting unit;
the operation platform building unit is used for building an operation platform and sending the operation platform to participants of the clothing customization multi-party transaction for registration and joining;
the participant classifying unit is used for classifying the added participants according to the operation types and giving rights to the participants in the operation platform according to the classification result;
the dynamic form sending unit is used for inputting order information of a customer into the operation platform, carrying out demand extraction according to the input order information, generating a dynamic form according to the extracted demand information, and sending the dynamic form into the operation platform for participants to check and produce;
the production monitoring unit is used for setting a completion standard time according to the dynamic form generated by the dynamic form transmitting unit, monitoring the production progress of the participants, predicting the order completion time according to a monitoring result, comparing the predicted completion time with the completion standard time, and transmitting a reminding and urgent signal to the participants if the predicted completion time in the comparison result is greater than the completion standard time;
the clothing detection unit is used for acquiring clothing data uploaded by the participants in the dynamic form, setting production qualification standards according to the dynamic form information, performing difference detection on the clothing data and the production qualification standards, and sending clothing produced by the participants to the clients according to the detection result as qualified.
As a further improvement of the technical scheme, the operation platform building unit records data through an open interface by using a document type database, ensures that all original data are reserved, and simultaneously uses unstructured data to be compatible with the platform docking requirements of all parties, so that an operation platform is built.
As a further improvement of the technical scheme, the operation platform building unit collects the information of the participants cooperating with the enterprise, enables the participants to upload data in the registration account of the operation platform, and meanwhile, the operation platform uses the mapping rule to extract key data required by the operation platform as input of a resource matching and matching algorithm.
As a further improvement of the technical scheme, the participant classifying unit comprises a type classifying module and a permission distributing module;
the type classification module is used for establishing operation types according to the steps required by the production and sales of the clothing, including buyers, intermediaries, manufacturers, suppliers, logistics providers and financial service providers;
the authority distribution module is used for extracting the data uploaded by the participants on the operation platform, acquiring the operation service of the corresponding participant according to the data, classifying the operation service of the participant into the operation type established by the type classification module according to the operation service of the participant, and giving the participant the authority of the operation type in the operation platform.
As a further improvement of the technical scheme, the dynamic form sending unit obtains the quality requirements of the customer for tailoring by inputting the order information of the customer into the operation platform and extracting the requirements according to the input order information, and then dynamically generates according to the different quality requirements of each order customer by managing the dynamic form to obtain the exclusive dynamic form belonging to the customer.
As a further improvement of the technical scheme, the dynamic form sending unit comprises a participant matching module;
the participant matching module is used for matching the similarity according to the quality requirements in the dynamic form and combining the data of the participants, arranging a participant with the highest similarity with the quality requirements in each production link of the garment, and displaying the dynamic form on the successfully matched participant, so that the participant produces the garment according to the dynamic form information.
As a further improvement of the technical scheme, the production monitoring unit comprises a setting time module and a production monitoring module;
the time setting module is used for predicting the time required by the clothing production completion and the customer transmission according to the dynamic form information, and setting the time obtained by prediction as the standard completion time;
the production monitoring module is used for monitoring the completion progress data of each participant on clothing production, combining the completion progress data of all participants in the dynamic form, predicting the completion time of the order, comparing the predicted completion time with the completion standard time, sending a reminding emergency signal to the participant if the predicted completion time in the comparison result is greater than the completion standard time, improving the clothing production efficiency by the participant, and keeping monitoring continuously if the predicted completion time in the comparison result is equal to or less than the completion standard time.
As a further improvement of the technical scheme, the clothing detection unit comprises a qualified standard setting module and a difference detection module;
the qualified standard setting module is used for setting qualified production standards according to the requirements of customers on clothes in the dynamic form;
the difference detection module is used for carrying out difference detection on the quality of the clothes produced by the participator and the production qualification standard, marking the clothes as qualified if the quality of the clothes meets the data requirement of the production qualification standard, delivering the clothes to a client, marking the clothes as unqualified if the quality of the clothes does not meet the data requirement of the production qualification standard, and feeding the clothes back to the participator to enable the participator to carry out production again.
As a further improvement of the technical scheme, the clothes detection unit further comprises a participant supervision module, wherein the participant supervision module is used for supervising the clothes detection process of the difference detection module, when the clothes are marked as unqualified, the participant causing the quality problem is marked at the same time, and when the participant accumulated the mark for more than three times, a reminding message is sent to an operation platform manager to prompt the manager to replace the participant.
Compared with the prior art, the invention has the beneficial effects that:
in the multi-party-cooperation-based C2M mode textile and clothing customization operation platform system, the operation platform is established, so that the problem that a plurality of main bodies participate in personalized customization transaction of clothing and textiles is solved, each transaction participant realizes cooperative operation and real-time communication of multiple transaction parties through effective connection of the platform, and meanwhile, quality of clothing is detected, poor-quality products are prevented from flowing out, and sales praise of factories is prevented from being influenced.
Drawings
Fig. 1 is a schematic diagram of the overall structure of the present invention.
The meaning of each reference sign in the figure is:
10. an operation platform building unit; 20. a participant classification unit; 30. a dynamic form transmitting unit; 40. a production monitoring unit; 50. and a clothing detection unit.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1
Referring to fig. 1, the present embodiment is directed to providing a C2M mode textile and clothing customizing operation platform system based on multiparty cooperation, 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 a clothing detection unit 50;
the operation platform establishment unit 10 is used for establishing an operation platform;
the operation platform establishing unit 10 records data by using a document type database through an open interface, ensures that all original data is preserved, and simultaneously uses unstructured data to be compatible with the platform docking requirements of all parties, thereby establishing an operation platform. The method comprises the following steps:
determining a document type database: selecting a proper document type database system, such as MongoDB, couchDB, and the like, and installing and configuring the system;
designing a data model: and designing a proper data model according to the service requirement. Determining the data fields and the data relations to be recorded, and creating a corresponding database set or table;
creating an interface: and interfacing the operation platform with each participant platform through an open interface. The interface may be implemented using Web services, APIs, or other communication protocols;
defining a data recording interface: a data record interface is defined for each participant platform including URLs to receive data, request methods, data formats, etc. Ensuring that interface butt joint meets the requirements of data integrity and accuracy;
receiving and processing data: corresponding data receiving and processing logic is established on the operation platform, data from each participant platform is received, and the data is verified, processed and stored;
recording data using a document database: based on the received data, the data is recorded into a document-type database using an appropriate library function or API. Ensuring the integrity and consistency of each data record;
processing unstructured data: for unstructured data, appropriate techniques and tools may be employed for processing and conversion. Analyzing the text and extracting key information by adopting a natural language processing technology;
data backup and archiving: data backup and archiving are performed regularly, so that all original data can be ensured to be preserved. A database backup tool or cloud backup service may be used.
And sending the data to participants of the clothing customization multi-party transaction for registration and joining;
the operation platform establishing unit 10 collects the information of the participants cooperating with the enterprise, and enables the participants to register account numbers in the operation platform to upload data, and meanwhile, the operation platform uses mapping rules to extract key data required by the operation platform as input of a resource matching and matching algorithm. For a certain order, the order needs to be split into a plurality of sub orders to inquire the raw material suppliers and factories, the supply capacity and the production line plan of the raw material suppliers and factories are known, and in the past, the work is completed manually, and only a small number of raw material suppliers and factories can be docked. The algorithm matches the simulated manual arrangement of resources according to the preference time priority, the price priority and the like of the user to obtain optimal arrangement. The method comprises the following steps:
establishing a participant information acquisition flow: participant information to be collected, such as personal basic information, enterprise information, project requirements, skills and expertise, etc., is determined. Designing a corresponding form or interface for the participants to fill in and submit information;
creating participant registration account function: and creating the functions of the registered account on the operation platform, wherein the functions comprise user name, password, mailbox and the like. The safety and manageability of the account are ensured;
providing a data uploading function: after registering the account number, the participant provides a function of uploading data, and allows the participant to upload necessary data files such as identity cards, enterprise certificates, project requirement documents and the like to an operation platform;
design mapping rules and key data extraction logic: and designing mapping rules and key data extraction logic according to the requirements of the resource matching and matching algorithm. These rules and logic may be automatically processed through manual definition or using natural language processing and machine learning techniques;
extracting key data: necessary critical data is extracted from the material submitted by the participant according to the mapping rules and critical data extraction logic. Such data may be participant skill tags, project demand descriptions, industries, etc.;
storing and managing data: storing the extracted key data into a database or other data storage system, and ensuring the safety and privacy management of the data;
and (3) carrying out resource matching and matching algorithm: and using the extracted key data as input of a resource matching and matching algorithm to perform resource matching and matching operation. The most appropriate participants and business collaboration are screened and matched by algorithms.
The participant classifying unit 20 is configured to classify the joined participant according to an operation type, and give authority to the participant in the operation platform according to a classification result;
the participant classifying unit 20 includes a type classifying module and a rights assigning module;
the type classification module is used for establishing operation types according to the steps required by the production and sales of the clothing, including buyers, intermediaries, manufacturers, suppliers, logistics providers and financial service providers;
the permission distribution module is used for extracting the data uploaded by the participants on the operation platform, acquiring the operation service of the corresponding participant according to the data, classifying the operation service of the participant into the operation type established by the type classification module according to the operation service of the participant, and giving the participant the permission of the operation type in the operation platform. The method comprises the following steps:
designing a participant information acquisition flow: a corresponding information acquisition flow is designed for each participant type. Determining information to be collected, such as personal/company names, contact information, operation ranges, qualification certificates and the like;
creating an operation platform registration account number and a data uploading function: the method and the system provide a function of uploading data for creating a registration account number on an operation platform for the participant, and allow the participant to upload necessary data files. The safety and manageability of the account are ensured;
extracting participant profile information: the necessary information is extracted from the material submitted by the participants using appropriate techniques and tools, based on the key data required for each participant type. Techniques such as natural language processing, image recognition, etc. may be used to automate the process;
assigning operation services and categorizing operation types: and allocating corresponding operation services to the participants according to the information of the participants, and classifying the operation services into corresponding operation types. Determining specific operation services according to the business mode of the participant and the roles based on the business mode;
setting authority and access control: corresponding rights and access controls are set for the participants within each operation type. Ensuring that only participants with relevant rights can perform corresponding operations and access relevant resources;
providing operation type rights within an operation platform: and setting corresponding operation type rights for each participant on an operation platform. Ensuring that participants can only operate and access within the type of operation to which they belong.
The dynamic form sending unit 30 is used for inputting order information of a customer into the operation platform, extracting requirements according to the input order information, and generating a dynamic form according to the extracted requirement information;
the dynamic form sending unit 30 obtains the quality requirement of the customer for tailoring by inputting the order information of the customer into the operation platform, extracting the requirement according to the input order information, and then dynamically generating according to the different quality requirements of each order customer by managing the dynamic form, thereby obtaining the exclusive dynamic form belonging to the customer. The method comprises the following steps:
entering order information: filling and inputting order information of clients on an order management page of an operation platform, wherein the order information comprises order numbers, client names, contact ways, order dates and the like;
and (3) demand extraction: and extracting the quality requirement of the customer for tailoring according to the entered order information. This may include requirements in terms of fabric texture, cut style, detail handling, garment function, etc.;
dynamic form design: dynamic forms are designed to manage customer demand details according to different quality requirements. Dynamic form templates adapting to different requirements can be created through the form design function of the operation platform;
dynamic form generation: and dynamically generating a corresponding exclusive dynamic form according to the quality requirement of the customer order. Dynamically filling form fields and options according to the requirements of customers on fabric, cutting, details, functions and the like;
providing a client-specific dynamic form: providing the generated exclusive dynamic form to a client, and informing a system to send the form to the client through a mail or a message of an operation platform;
the customer fills in the dynamic form: and clicking the entering form page and filling in corresponding requirement details by the client according to the provided exclusive dynamic form link. The client can select proper options or fill out related instructions according to own quality requirements;
dynamic form management: the operating platform may save dynamic form data filled in by the customer and associate it with the order information. Therefore, the method is convenient for enterprises to customize and make according to the requirements of clients, and provides the clients with clothing customizing services meeting the quality requirements of the clients.
The dynamic form is sent to an operation platform for participants to check for production;
the dynamic form sending unit 30 includes a participant matching module;
the participant matching module is used for matching the similarity according to the quality requirements in the dynamic form and combining the data of the participants, arranging a participant with the highest similarity with the quality requirements in each production link of the garment, displaying the dynamic form on the successfully matched participant, and enabling the participant to produce the garment according to the dynamic form information. The method comprises the following steps:
extracting quality requirements in a dynamic form: extracting fields and options related to quality requirements according to dynamic form information filled in by a client;
similarity matching is carried out according to the participant data: matching the similarity between the dynamic form information filled in by the client and the data of the participants, and calculating the matching degree of quality requirements by using a similarity algorithm such as cosine similarity, jaccard similarity and the like;
selecting the participant with the highest similarity: and selecting the participant with the highest similarity with the quality requirement according to the similarity matching result. The highest participants may be ranked and selected according to the calculated similarity value;
arranging participants in each production link: and distributing the participants who are successfully matched to each production link of the clothing, such as purchasing, cutting, detail processing and the like of the fabric. Each link is ensured to be responsible by a participant with highest similarity to quality requirements;
participants who demonstrated successful matches: and displaying the matched participant information to the client. Related information such as participant names, qualification, evaluation and the like can be displayed on the operation platform so as to increase the understanding and selection of the clients to the participants;
the participants perform clothing production according to the dynamic form information: the participants perform corresponding clothing production work according to the quality requirements in the dynamic forms. According to the distributed production links and quality requirements, the produced clothing is ensured to meet the requirements of customers.
The production monitoring unit 40 is configured to set a completion standard time according to the dynamic form generated by the dynamic form sending unit 30, monitor a production progress of the participant, predict an order completion time according to a monitoring result, compare the predicted completion time with the completion standard time, and send a prompt signal to the participant if the predicted completion time in the comparison result is greater than the completion standard time;
the production monitoring unit 40 includes a setup time module and a production monitoring module;
the time setting module is used for predicting the time required by the clothing production completion and the customer transmission according to the dynamic form information, and setting the time obtained by prediction as the standard completion time; the method comprises the following steps:
collecting historical data: collecting related data of past clothing production and distribution, including order completion time, manufacturing time, logistics distribution time and the like;
analyzing historical data: analyzing the collected historical data by using a regression analysis method, and exploring the influence of different factors on the clothing production and distribution time;
establishing a prediction model: based on the analysis result and the historical data, a prediction model is established to predict the time required for the clothing to be sent to the customer after the clothing production is completed. A model may be built using a machine learning algorithm;
inputting dynamic form information: taking dynamic form information filled in by a customer as input of a model, wherein the dynamic form information comprises information such as quality requirements, clothing specifications and the like;
and (3) performing time prediction: the production and distribution time of the garment is predicted using the prediction model. According to the dynamic form information as input, the model outputs the predicted completion time;
setting a completion standard time: the completion time of the predicted acquisition is set as the completion standard time. This time will be used as a time target for the whole production process.
The production monitoring module is used for monitoring the completion progress data of each participant on the clothing production, combining the completion progress data of all participants in the dynamic form, predicting the completion time of the order, comparing the predicted completion time with the completion standard time, sending a reminding emergency signal to the participant if the predicted completion time in the comparison result is greater than the completion standard time, improving the clothing production efficiency by the participant, and keeping continuous monitoring if the predicted completion time in the comparison result is equal to or less than the completion standard time, wherein the steps are as follows:
monitoring completion progress data of each party participant: setting up a monitoring system on an operation platform, and collecting the completion progress data of each party participant on clothing production, wherein the completion progress data comprise the progress of each production link, consumed time and the like;
completion progress data for the joining participants: combining the completion progress data of all participants in the dynamic form, and calculating the overall completion progress and required time;
predicting order completion time: predicting the completion time of the order by using a prediction model according to the completion progress data, historical data and other information of the participants, wherein the prediction can be performed by using a regression model, a time sequence model or other prediction algorithms;
comparing the predicted completion time with the completion standard time: comparing the predicted order completion time with the completion standard time;
sending an emergency signal prompt: if the predicted completion time is greater than the completion standard time, sending an urgent signal prompt to the participant to prompt the participant to improve the production efficiency;
and (5) continuing monitoring: if the predicted completion time is equal to or less than the completion standard time, the progress of the participant is continued to be monitored to ensure that the order is completed on time. The expression is as follows:
comparing the predicted completion time with the completion standard time:
the predicted completion time is more than the completion standard time, and an urgent signal is sent to remind participants to accelerate the production speed;
the predicted completion time is less than or equal to the completion standard time, and continuing monitoring;
the clothing detection unit 50 is configured to obtain clothing data uploaded by a participant in a dynamic form, set production qualification standards according to the dynamic form information, perform difference detection on the clothing data and the production qualification standards, and send clothing produced by the participant to a client according to the detection result being qualified.
The clothing detection unit 50 includes a set qualification standard module and a difference detection module;
the qualified standard setting module is used for setting qualified production standards according to the requirements of customers on clothes in the dynamic form;
the difference detection module is used for carrying out difference detection on the quality of the clothes produced by the participator and the production qualification standard, marking the clothes as qualified if the quality of the clothes meets the data requirement of the production qualification standard, delivering the clothes to a client, marking the clothes as unqualified if the quality of the clothes does not meet the data requirement of the production qualification standard, and feeding the clothes back to the participator to enable the participator to carry out production again. The method comprises the following steps of;
determining production qualification standards according to the requirements of customers on clothing, wherein the production qualification standards comprise requirements on fabric quality, cutting precision, sewing technology and the like;
and (3) detecting the quality of clothes produced by the participants, and collecting corresponding quality data. The quality characteristic data of the clothing can be obtained by using visual detection, physical test and other modes;
and carrying out difference detection on the clothing quality data produced by the participants and the production qualification standard. The judgment and evaluation can be performed by using a statistical method and a rule engine;
if the clothing quality meets the data requirement of the production qualification standard, marking the clothing as qualified, and carrying out a subsequent delivery process to deliver the clothing to a customer;
if the quality of the clothing does not meet the data requirement of the production qualification standard, marking the clothing as unqualified, providing feedback to participants, and requiring the participants to re-produce.
In the process of customizing the garment, once the garment has quality problems and needs to be produced again, the consumed time exceeds the time required by the customer, so that unpleasant shopping is caused for the customer and the customer runs off, therefore, the garment detection unit 50 further comprises a participant supervision module, and the participant supervision module is used for supervising the detection process of the garment by the difference detection module. The method comprises the following steps:
setting up a participant supervision module: setting up a participant monitoring module in the operation platform for monitoring the clothing detection process of the difference detection module;
setting participant marking rules: determining rules and criteria for which participants are marked as causing quality problems, e.g., marking the corresponding participant when the garment is marked as failed;
marking quality problems: when the clothing marked by the difference detection module is unqualified, marking participants causing quality problems;
cumulative marker monitoring: monitoring the number of times that participants are marked to cause quality problems, and recording the marking number of times of each participant;
and (5) sending reminding information: when the marking times of a certain participant are accumulated for more than three times, reminding information is sent to an operation platform manager to prompt the manager to replace the participant or perform other necessary measures.
The foregoing has shown and described the basic principles, principal features and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the above-described embodiments, and that the above-described embodiments and descriptions are only preferred embodiments of the present invention, and are not intended to limit the invention, and that various changes and modifications may be made therein without departing from the spirit and scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (9)
1. Textile and clothing customization operation platform system based on multiparty cooperation C2M mode, its characterized in that: the system comprises an operation platform building unit (10), a participant classifying unit (20), a dynamic form sending unit (30), a production monitoring unit (40) and a clothing detecting unit (50);
the operation platform building unit (10) is used for building an operation platform and sending the operation platform to participants of the clothing customization multi-party transaction for registration and joining;
the participant classifying unit (20) is used for classifying the added participants according to the operation types and giving rights to the participants in the operation platform according to the classification result;
the dynamic form sending unit (30) is used for inputting order information of a customer into the operation platform, carrying out demand extraction according to the input order information, generating a dynamic form according to the extracted demand information, and sending the dynamic form into the operation platform for participants to check and produce;
the production monitoring unit (40) is used for setting a completion standard time according to the dynamic form generated by the dynamic form sending unit (30), monitoring the production progress of the participants, predicting the order completion time according to a monitoring result, comparing the predicted completion time with the completion standard time, and sending a reminding and urgent signal to the participants if the predicted completion time is greater than the completion standard time in the comparison result;
the clothing detection unit (50) is used for acquiring clothing data uploaded by the participants in the dynamic form, setting production qualification standards according to the dynamic form information, performing difference detection on the clothing data and the production qualification standards, and sending clothing produced by the participants to the clients according to the detection result as qualified.
2. The multiparty fit C2M mode based textile and apparel custom-made operation platform system according to claim 1, wherein: the operation platform establishing unit (10) records data by using a document database through an open interface, ensures that all original data is reserved, and simultaneously uses unstructured data to meet the platform docking requirements of all parties so as to establish an operation platform.
3. The multiparty fit C2M mode based textile and apparel custom-made operation platform system according to claim 1, wherein: the operation platform establishing unit (10) collects the information of the participants cooperating with the enterprise, enables the participants to register account numbers in the operation platform to upload data, and meanwhile, the operation platform uses mapping rules to extract key data required by the operation platform as input of a resource matching and matching algorithm.
4. The multiparty fit C2M mode based textile and apparel custom-made operation platform system according to claim 1, wherein: the participant classification unit (20) comprises a type classification module and a rights allocation module;
the type classification module is used for establishing operation types according to the steps required by the production and sales of the clothing, wherein the operation types comprise buyers, intermediaries, manufacturers, suppliers, logistics providers and financial service providers;
the authority distribution module is used for extracting the data uploaded by the participants on the operation platform, acquiring the operation service of the corresponding participant according to the data, classifying the operation service of the participant into the operation type established by the type classification module according to the operation service of the participant, and giving the participant the authority of the operation type in the operation platform.
5. The multiparty fit C2M mode based textile and apparel custom-made operation platform system according to claim 1, wherein: the dynamic form sending unit (30) obtains the quality requirements of the customer for clothing customization by inputting the order information of the customer into the operation platform and carrying out requirement extraction according to the input order information, and then dynamically generates according to the different quality requirements of each order customer by managing the dynamic form, so as to obtain the special dynamic form belonging to the customer.
6. The multiparty fit C2M mode based textile and apparel custom-made operation platform system according to claim 1, wherein: the dynamic form sending unit (30) comprises a participant matching module;
the participant matching module is used for matching the similarity according to the quality requirements in the dynamic form and combining the data of the participants, arranging a participant with the highest similarity with the quality requirements in each production link of the garment, and displaying the dynamic form on the successfully matched participant, so that the participant produces the garment according to the dynamic form information.
7. The multiparty fit C2M mode based textile and apparel custom-made operation platform system according to claim 1, wherein: the production monitoring unit (40) comprises a set time module and a production monitoring module;
the time setting module is used for predicting the time required by the clothing production completion and the customer transmission according to the dynamic form information, and setting the time obtained by prediction as the standard completion time;
the production monitoring module is used for monitoring the completion progress data of each participant on clothing production, combining the completion progress data of all participants in the dynamic form, predicting the completion time of the order, comparing the predicted completion time with the completion standard time, sending a reminding emergency signal to the participant if the predicted completion time in the comparison result is greater than the completion standard time, improving the clothing production efficiency by the participant, and keeping monitoring continuously if the predicted completion time in the comparison result is equal to or less than the completion standard time.
8. The multiparty fit C2M mode based textile and apparel custom-made operation platform system according to claim 1, wherein: the clothing detection unit (50) comprises a qualified standard setting module and a difference detection module;
the qualified standard setting module is used for setting qualified production standards according to the requirements of customers on clothes in the dynamic form;
the difference detection module is used for carrying out difference detection on the quality of the clothes produced by the participator and the production qualification standard, marking the clothes as qualified if the quality of the clothes meets the data requirement of the production qualification standard, delivering the clothes to a client, marking the clothes as unqualified if the quality of the clothes does not meet the data requirement of the production qualification standard, and feeding the clothes back to the participator to enable the participator to carry out production again.
9. The multiparty fit C2M mode based textile and apparel custom-made operation platform system according to claim 8, wherein: the clothing detection unit (50) further comprises a participant supervision module, wherein the participant supervision module is used for supervising the detection process of the clothing by the difference detection module, when the clothing is marked as unqualified, the participant causing the quality problem is marked at the same time, and when the participant accumulated marks are more than three times, reminding information is sent to an operation platform manager to prompt the manager to replace the participant.
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