CN-122022376-A - Clothing production process flow identification coding method based on Internet of things coding and tracing system thereof

CN122022376ACN 122022376 ACN122022376 ACN 122022376ACN-122022376-A

Abstract

The invention provides a clothing production process flow identification coding method and a tracing system based on Internet of things coding, wherein the method comprises the steps of responding to an initialization instruction of clothing production orders, generating a main identification code according to order attributes, carrying out physical mapping binding on the main identification code and an Internet of things carrier carrying a plurality of clothing materials in the same batch, acquiring real-time operation data of production process nodes, judging whether the real-time operation data trigger preset material discrete conditions, executing coding splitting logic if the real-time operation data trigger the preset material discrete conditions trigger, keeping a circulation path of the main identification code unchanged, generating virtual shadow tracing codes in a tracing system based on characteristic data of the discrete materials, establishing a logic interlocking relation between the main identification code and the shadow tracing codes, adding a non-closed loop warning mark in metadata of the main identification code, monitoring the circulation state of the shadow codes, executing topology reconstruction logic and removing the logic interlocking relation when a regression confirmation signal is received.

Inventors

ZHOU TIANYI
DU FAN
ZHOU HONGYU
CHEN XUWU
Guan Niangzeng
YUAN YIXIANG

Assignees

广州市督尚服装有限公司

Dates

Publication Date: 20260512
Application Date: 20260311

Claims (10)

1. The clothing production process flow identification coding method based on the Internet of things coding is characterized by comprising the following steps of: Responding to an initialization instruction of a clothing production order, generating a main identification code according to the attribute of the order, and carrying out physical mapping binding on the main identification code and an Internet of things carrier for bearing a plurality of clothing materials in the same batch; When the clothing material flows to a production process node, acquiring real-time operation data of the production process node; Judging whether the real-time operation data trigger a preset material discrete condition or not; if the material discrete condition is triggered, executing code splitting logic, namely keeping the circulation path of the main identification code unchanged, and generating a virtual shadow tracing code in a tracing system based on the characteristic data of the discrete material; Establishing a logic interlocking relation between the main identification code and the shadow tracing code, marking the shadow tracing code as a state to be regressed, and adding an open-loop warning mark in metadata of the main identification code; And monitoring the circulation state of the shadow tracing code, executing topology reconstruction logic when receiving a regression confirmation signal of the discrete material, merging the data branch of the shadow tracing code into a tracing chain of the main identification code, and releasing the logic interlocking relationship.
2. The garment production process flow identification coding method based on the internet of things coding according to claim 1, wherein the generating the main identification code according to the order attribute specifically comprises: extracting a money number field, a color number field and a production batch number in the clothing production order; Invoking a preset coding confusion algorithm, and operating the money number field, the color number field and the production batch number to generate a unique basic characteristic section; and adding a capacity check bit after the basic characteristic section according to the standard quantity value of the clothing materials in the same batch, and combining to generate the main identification code.
3. The method for encoding the identification of the clothing production process flow based on the internet of things encoding according to claim 1, wherein the binding the main identification code with the internet of things carrier carrying a plurality of clothing materials in the same batch in a physical mapping manner specifically comprises: reading a hardware unique identifier of the internet of things carrier; creating a mapping table in a core database of the system, and writing the corresponding relation between the main identification code and the hardware unique identifier; And activating the read-write permission of the Internet of things carrier, and writing the hash value of the main identification code into a user data area of the Internet of things carrier.
4. The method for encoding the identification of the clothing production process flow based on the internet of things according to claim 1, wherein the determining whether the real-time operation data trigger the preset material discrete condition specifically comprises: acquiring the current actual number of materials passing through a station through a counting device or a manual input interface arranged on the production process node; comparing the number of the current actual station-passing materials with the number of the theoretical circulation recorded in the main identification code; and if the current actual number of the materials which pass through the station is smaller than the theoretical number of the materials, judging to trigger the discrete condition of the materials.
5. The clothing production process flow identification coding method based on the internet of things coding according to claim 1, wherein the real-time operation data further comprises a process type code of a current process node; judging whether the current node is an irreversible processing node according to the process type code; if yes, synchronously locking the access authority of the main identification code at the next process node when the material discrete condition is triggered until a forced release instruction of a management end is received.
6. The garment production process flow identification coding method based on internet of things coding according to claim 1, wherein the characteristic data based on discrete materials generate virtual shadow traceability codes in a traceability system, and specifically comprises the following steps: acquiring a discrete time stamp, a process node ID of which the discrete occurs and a defect reason code of the discrete material; Creating a virtual data object with a life cycle countdown attribute as the shadow traceability code by using the main identification code as a root node according to a preset shadow generation rule; The shadow tracing code does not correspond to any physical Internet of things carrier and is only stored in a logic operation layer of the tracing system.
7. The clothing production process flow identification coding method based on the internet of things coding of claim 6, wherein the life cycle countdown attribute is set according to fabric physical properties of the clothing materials; if the life cycle countdown return to zero of the shadow tracing code still does not receive the regression confirmation signal, the system automatically converts the shadow tracing code into a scrapped state code and triggers the quantity reduction logic aiming at the main identification code.
8. The method for encoding the identification of the clothing production process flow based on the internet of things encoding according to claim 1, wherein the establishing a logical interlocking relationship between the main identification code and the shadow traceability code specifically comprises: Setting a semaphore pointer in the circulation state table of the main identification code, wherein the semaphore pointer points to the memory address of the shadow tracing code; configuring a final check checkpoint rule of a traceability system, and forcedly checking the state of the semaphore pointer when the main identification code is scanned; And outputting a command for prohibiting warehousing if the effective shadow traceability code still exists in the address pointed by the semaphore pointer.
9. The garment production process flow identification coding method based on internet of things coding according to claim 1, wherein the executing topology reconstruction logic specifically comprises: Verifying repaired material parameters carried in the regression confirmation signal; After verification is passed, all process history data recorded by the shadow traceability codes are added to a history record list of the main identification codes; and canceling the virtual object of the shadow traceability code, and clearing the non-closed-loop warning mark in the main identification code.
10. A garment production process flow identification code traceability system based on internet of things codes for implementing the method of any one of claims 1 to 9, the system comprising: the code initialization module is used for generating a main identification code according to the order attribute and finishing physical mapping binding with the carrier of the Internet of things; The data monitoring module is used for acquiring real-time operation data of the production process node and judging whether a material discrete condition is triggered or not; The dynamic splitting module is used for generating a virtual shadow traceability code and executing coding splitting logic when the material discrete condition is triggered; the interlocking control module is used for establishing a logic interlocking relation between the main identification code and the shadow tracing code and adding an open-loop warning mark; And the reconstruction closed loop module is used for executing topology reconstruction logic when receiving the regression confirmation signal, merging data branches and releasing the logic interlocking relationship.

Description

Clothing production process flow identification coding method based on Internet of things coding and tracing system thereof Technical Field The invention relates to the technical field of intelligent manufacturing and industrial internet of things data processing, in particular to a clothing production process flow identification coding method based on internet of things coding and a tracing system thereof. Background In a production management system of a modern clothing processing industry, in order to meet the requirement of large-scale industrialized production, a factory generally adopts a group circulation operation mode, namely, tens of pieces of same-color cut pieces are bound into an operation unit by utilizing a radio frequency identification tag or other internet of things carriers, and the operation unit is used as a minimum production batch for circulation among various working procedures such as cutting, sewing, ironing, finishing and the like. The management mode can efficiently record the production progress and count the wages of workers in a standardized linear production flow, and the real-time performance and accuracy of data acquisition are ensured. However, in a practical complex plant site, the production process tends to exhibit nonlinear dynamic characteristics. For example, in the sewing or quality inspection step, individual garment pieces are often forced to temporarily separate from the original bound physical carrier due to fabric flaws, oil stain cleaning, dimensional deviation repair, laboratory destructive spot inspection, and the like. At this time, the materials on the physical level are already discrete, but the existing digital traceability system often lacks a flexible coping mechanism, and the batch is generally regarded as an integral piece of data. This results in a mismatch between the production entity and the digital information. If the system forces the whole batch of materials to wait for the regression of discrete individuals before the materials continue to circulate, the whole beat of the production line can be seriously dragged and slowed down, and the production congestion is caused. Otherwise, if the system allows the main batch to continue to flow downstream under the condition of missing quantity, the scattered materials can be separated from digital supervision and become a data blind area due to losing the identity. The method not only causes difficulty in checking the inventory quantity in the process of warehousing of the subsequent finished products, but also causes incapability of accurately recording the special process treatment history of the part of materials, causes faults in the quality file of the whole life cycle of the final product, and is difficult to meet the management requirement of fine quality tracing. Disclosure of Invention The invention aims to provide a clothing production process flow identification coding method based on Internet of things coding and a tracing system thereof, which are used for solving the problems pointed out in the background technology. In a first aspect, the invention provides a clothing production process flow identification coding method based on internet of things coding, which comprises the following steps: Responding to an initialization instruction of a clothing production order, generating a main identification code according to the attribute of the order, and carrying out physical mapping binding on the main identification code and an Internet of things carrier for bearing a plurality of clothing materials in the same batch; When the clothing material flows to a production process node, acquiring real-time operation data of the production process node; Judging whether the real-time operation data trigger a preset material discrete condition or not; if the material discrete condition is triggered, executing code splitting logic, namely keeping the circulation path of the main identification code unchanged, and generating a virtual shadow tracing code in a tracing system based on the characteristic data of the discrete material; Establishing a logic interlocking relation between the main identification code and the shadow tracing code, marking the shadow tracing code as a state to be regressed, and adding an open-loop warning mark in metadata of the main identification code; And monitoring the circulation state of the shadow tracing code, executing topology reconstruction logic when receiving a regression confirmation signal of the discrete material, merging the data branch of the shadow tracing code into a tracing chain of the main identification code, and releasing the logic interlocking relationship. Optionally, the generating the main identification code according to the order attribute specifically includes: extracting a money number field, a color number field and a production batch number in the clothing production order; Invoking a preset coding confusion algorithm, and operating the money nu