CN-121992601-A - Network interconnection-based dye sample collaborative proofing system

CN121992601ACN 121992601 ACN121992601 ACN 121992601ACN-121992601-A

Abstract

The invention relates to the technical fields of dyeing and finishing automation and color science, and discloses a dye sample collaborative proofing system based on network interconnection, which comprises a collaborative process management platform, a networked automatic proofing execution station and a multi-mode appearance remote detection terminal, and the collaborative process management platform issues the digital chemical engineering single-drive execution station to automatically prepare the physical sample and instructs the remote detection terminal to collect the hyperspectral data stream of the sample so as to realize reliable remote collaborative assessment. When the assessment is rejected, an intelligent correction algorithm module in the platform can automatically calculate the formula correction amount according to hyperspectral data in a problem state through a formula inverse solution model, so that data-driven closed-loop correction is realized, the problems that the existing proofing flow is low in efficiency, remote assessment distortion and formula correction depend on manual work are solved, manual trial and error is replaced, and proofing efficiency and success rate are improved.

Inventors

FAN LIHUA
WANG BIN
YANG BINGXUE
NI SHUIQIN
YU HAITAO
TANG CHANGWAN

Assignees

浙江新益印染有限公司

Dates

Publication Date: 20260508
Application Date: 20251224

Claims (10)

1. The utility model provides a dyeing agent hand sample collaborative proofing system based on network interconnection which characterized in that includes: The collaborative process management platform is used for generating a digital chemical engineering bill containing a formula and sending a remote probing instruction to the multi-mode appearance remote detection terminal; The networked automatic proofing execution station is in communication connection with the collaborative process management platform and is used for receiving the digital chemical engineering bill and automatically completing preparation of a physical sample according to the digital chemical engineering bill; the multi-mode appearance remote detection terminal is in communication connection with the collaborative process management platform and is used for receiving the remote exploration instruction, collecting hyperspectral data streams of the physical samples according to the remote exploration instruction, and transmitting the hyperspectral data streams to the collaborative process management platform for collaborative evaluation by a user.
2. The network-interconnection-based dye hand sample collaborative proofing system according to claim 1, wherein the collaborative process management platform comprises a virtual sample and physical rendering module for generating an interactable three-dimensional virtual sample according to an initial recipe prior to generating the digital chemical bill for the user to perform the interactive virtual sample on the initial recipe and for curing the initial recipe in the digital chemical bill after user confirmation.
3. The network interconnection-based dye hand sample collaborative proofing system according to claim 1, wherein the collaborative process management platform comprises an intelligent correction algorithm module for capturing hyperspectral data in a problem state designated by the user in response to a rejection decision made by the user, calculating correction of dye concentration according to the hyperspectral data in the problem state by a formula inverse solution model to generate a corrected formula, and generating a new digital chemical bill based on the corrected formula.
4. A dye-works collaborative proofing system based on network interconnections according to claim 3 wherein the inverse solution model calculates the correction of dye concentration by constructing a jacobian matrix representing spectral reflectance sensitivity to dye concentration and solving a matrix equation based on the difference between hyperspectral data in the problem state and the target spectrum to obtain the correction of dye concentration.
5. The network-interconnection-based dye hand sample collaborative proofing system according to claim 1, wherein the multi-modal appearance remote detection terminal comprises: A programmable multi-angle light source array for changing the type of light source and the angle of incidence impinging on the physical sample in accordance with the remote probe instructions; And the hyperspectral imaging and mechanical arm system is used for adjusting the observation angle of the physical sample according to the remote exploration instruction and collecting the hyperspectral data stream.
6. The web-interconnect-based dye hand-sample collaborative proofing system of claim 5, wherein the collaborative process management platform is configured to convert interface operations of the user in real-time into the remote probe instructions to drive the programmable multi-angle light source array and the hyperspectral imaging and robotic system to respond synchronously.
7. The networked-interconnect-based dye-works collaborative proofing system of claim 1, wherein the networked automated proofing execution station comprises: the high-precision automatic liquor preparing unit is used for preparing dye liquor according to the formula in the digital chemical engineering bill; The automatic dyeing and post-processing unit is used for dyeing the fabric sample according to the technological parameters in the digital chemical engineering bill; and the sample automatic transfer unit is used for transferring the fabric sample between the high-precision automatic liquid preparation unit and the automatic dyeing and post-processing unit.
8. The network-interconnection-based dye hand sample collaborative proofing system according to claim 3, wherein the collaborative process management platform further comprises a data and model management module for structurally storing the whole process data of each proofing cycle to form a digital twin archive, and performing background iterative optimization on a formulation inverse solution model by using the accumulated digital twin archive.
9. The web-based interconnected dye hand-sample collaborative proofing system of claim 1, wherein the collaborative process management platform is configured to synchronize the received hyperspectral data streams during the collaborative assessment to simultaneously present a subjective visual appearance of the physical sample and its corresponding objective chromaticity values on a user interface.
10. The method for collaborative sample preparation of the dye sample based on network interconnection is applied to the collaborative sample preparation system of the dye sample based on network interconnection according to any one of claims 1 to 9, and is characterized by comprising the following steps: Generating an interactable three-dimensional virtual sample based on an initial formula, and generating a digital chemical engineering bill containing the initial formula after confirmation of a user; Issuing the digital chemical engineering bill to a networked automatic proofing execution station to automatically complete preparation of a physical sample; Driving a multi-mode appearance remote detection terminal to adjust a light source and an observation angle according to a remote exploration instruction sent by a user, and collecting hyperspectral data flow of the physical sample for collaborative evaluation by the user; And responding to the rejection decision made by the user, capturing hyperspectral data in a problem state, calculating the correction quantity of the dye concentration through a formula inverse solution model to generate a corrected formula, and returning to the preparation step of executing the physical sample based on the corrected formula.

Description

Network interconnection-based dye sample collaborative proofing system Technical Field The invention relates to the technical fields of dyeing and finishing automation and color science, in particular to a dye small sample collaborative proofing system based on network interconnection. Background In the industrial fields of textile, coating, plastics and the like, the proofing of small dye samples is an indispensable key link before product development and large-scale production. The aim is to verify whether the formulation can exactly match the target color by preparing small batches of physical samples and obtain approval from the customer or decision maker. Existing proofing processes are typically highly dependent on manual operations and physical circulation. The technicians prepare the dye according to experience or preliminary calculation, and manually prepare the physical sample. The sample must then be physically delivered to a customer or designer in a different location for evaluation, such as by express delivery. This process is not only time consuming and severely slow down the overall progress of the product to market, but also presents the risk of sample fouling or loss during transport. In the evaluation link, the evaluation result is also extremely easy to be interfered by subjective and environmental factors. Different observers can generate deviation on color perception of the same sample under different illumination conditions, so that evaluation standards are difficult to unify, and communication efficiency is low. In order to overcome the delay of physical circulation, the industry also often adopts a mode of taking pictures or videos for remote communication, but the mode has serious limitations. Because of the large differences between the camera sensor, the image compression algorithm, and the terminal display device, there is a significant, uncontrollable color difference between the color represented by the digital image and the true color of the physical sample, which makes the remote evaluation based on ordinary digital images extremely unreliable, often leading to erroneous decisions and unnecessary rework. Disclosure of Invention Aiming at the defects of the prior art, the invention provides a small dye sample collaborative proofing system based on network interconnection, which solves the problems of low efficiency, color information distortion in the process of remote collaborative evaluation and high dependence on manual experience and lack of accurate data closed loop in the formula correction process caused by physical sample circulation in the existing proofing process. In order to achieve the purpose, the invention is realized by the following technical scheme that the small dye sample collaborative proofing system based on network interconnection comprises: The collaborative process management platform is used for generating a digital chemical engineering bill containing a formula and sending a remote probing instruction to the multi-mode appearance remote detection terminal; The networked automatic proofing execution station is in communication connection with the collaborative process management platform and is used for receiving the digital chemical engineering bill and automatically completing preparation of a physical sample according to the digital chemical engineering bill; the multi-mode appearance remote detection terminal is in communication connection with the collaborative process management platform and is used for receiving the remote exploration instruction, collecting hyperspectral data streams of the physical samples according to the remote exploration instruction, and transmitting the hyperspectral data streams to the collaborative process management platform for collaborative evaluation by a user. Preferably, the collaborative process management platform includes a virtual sample and physical rendering module configured to generate an interactable three-dimensional virtual sample according to an initial recipe before generating the digital chemical bill, to allow the user to perform the interactive virtual sample on the initial recipe, and to cure the initial recipe in the digital chemical bill after confirmation by the user. Preferably, the collaborative process management platform includes an intelligent correction algorithm module, configured to capture hyperspectral data in a problem state specified by the user in response to a rejection decision made by the user, calculate a correction amount of dye concentration according to the hyperspectral data in the problem state by using a formulation inverse solution model, so as to generate a corrected formulation, and generate a new digital chemical bill based on the corrected formulation. Preferably, the inverse formulation solution model calculates the correction of dye concentration by constructing a jacobian matrix representing the sensitivity of spectral reflectance to dye concentration and solvin