Intelligent water-saving printing method and system based on multi-parameter fusion

Abstract

This invention relates to the field of automated dyeing and printing, and particularly to an intelligent water-saving dyeing and printing method and system based on multi-parameter fusion. The method includes: determining the type of fabric to be dyed and printing, and obtaining the historical shape characteristics of the fabric before and after dyeing and printing; classifying the shape characteristic change rate according to the number of overprints, and establishing a fabric shape change threshold; calculating the water absorption difference by combining the historical wetting moisture content and the process bath ratio, and matching the water absorption difference threshold according to the deformation threshold; normalizing the two types of thresholds to the same value range and establishing a parameter mapping; matching water consumption by calculating Euclidean distance, thereby achieving efficient control of dyeing and printing water consumption and accurate prediction of fabric processing quality, ensuring resource conservation and product consistency in the dyeing and printing process, effectively reducing water waste, and ensuring resource conservation, fabric stability, and product consistency in the dyeing and printing process.

Description

Technical Field

[0001] This invention relates to the field of automated dyeing and printing, specifically to an intelligent water-saving dyeing and printing method and system based on multi-parameter fusion. Background Technology

[0002] In the dyeing and printing process, precise control of water consumption and coordinated regulation of process parameters are crucial for ensuring fabric dyeing quality and achieving resource conservation. Currently, the dyeing and printing production process is characterized by diverse fabric types, complex overprinting processes, and dynamic changes in fabric physical form and water absorption characteristics. Existing water control methods can only achieve static adjustments based on manual experience, lacking precise coordinated regulation of multi-dimensional parameters throughout the entire dyeing and printing process.

[0003] However, existing technologies generally lack in-depth research on the correlation between changes in fabric shape characteristics and actual water absorption, making it impossible to establish effective quantitative correlation models and dynamically adjust water consumption based on real-time fluctuations in fabric characteristics and process parameters. Furthermore, parameter monitoring in traditional processes often involves the independent processing of single parameters, failing to achieve integrated analysis of multi-dimensional parameters reflecting fabric condition and process environment. This results in water consumption adjustment schemes lacking scientific data support and accuracy, easily leading to unnecessary water waste and failing to ensure the matching of water consumption with the real-time fabric condition, affecting the shape stability of the printed fabric and the uniformity of dyeing effects. Summary of the Invention

[0004] To address the shortcomings of existing technologies, this invention provides an intelligent water-saving dyeing and printing method and system based on multi-parameter fusion. Through standardized processing, time-series analysis, correlation mining, and risk classification, it achieves efficient control of dyeing and printing water consumption and accurate prediction of fabric processing quality, ensuring resource conservation and product consistency in the dyeing and printing process.

[0005] To achieve the above objectives, this invention provides an intelligent water-saving dyeing and printing method based on multi-parameter fusion, comprising: Determine the type of dyed fabric, and obtain the corresponding historical shape characteristics of the fabric before dyeing and the historical shape characteristics of the fabric after dyeing based on the fabric type. The fabric shape feature change rate is divided based on the number of overprints in the dyeing process to establish a fabric shape change threshold. To obtain historical wetting moisture content and process water bath ratio data of fabrics in the dyeing and printing process, in order to obtain the difference in water absorption of fabrics during the dyeing and printing process. Based on the upper and lower limits of the threshold corresponding to the fabric shape change threshold, the corresponding threshold for the difference in water absorption of the dyeing and printing process fabric is obtained. Based on the normalization process of the fabric shape change threshold and the difference threshold of water absorption of the dyeing and printing process fabric, a mapping of fabric shape change threshold and the difference threshold of water absorption of the dyeing and printing process fabric under the same value range is established. Based on the threshold mapping of fabric shape change and the threshold mapping of difference in fabric water absorption in the dyeing process, the corresponding Euclidean distance is obtained, and intelligent water-saving dyeing treatment is carried out based on the water consumption corresponding to the Euclidean distance.

[0006] Preferably, the calculation of the fabric shape feature change rate includes: Based on the type of printed and dyed fabric and the corresponding process inspection data of the same batch, the initial shape characteristic parameters of the fabric before printing and dyeing are obtained. Synchronous acquisition and processing are performed based on the initial shape feature parameters to obtain the final shape feature parameters of the same type of printed and dyed fabric after printing and dyeing. Based on the initial shape feature parameters and the final shape feature parameters, a single parameter calculation process is performed to obtain the change rate of a single fabric shape feature. Based on the individual change rate, anomaly removal is performed through integration and screening to obtain the fabric shape characteristic change rate of the printed and dyed fabric.

[0007] Furthermore, the process of dividing the fabric shape feature change rate based on the number of overprints in the dyeing process to establish a fabric shape change threshold includes: The fabric shape feature change rate is divided into several intervals based on the number of overprints in the dyeing process. Based on the historical process data corresponding to the aforementioned several rate of change intervals, statistical processing of the fluctuation range is performed to determine the fluctuation range of each rate of change interval, thereby establishing a threshold for fabric shape change.

[0008] Furthermore, obtaining the historical wetting moisture content and process water bath ratio data of the fabric during the dyeing and printing process, in order to obtain the difference in fabric water absorption during the dyeing and printing process, includes: The water absorption is calculated based on the fabric's dry baseline quality and historical wetting moisture content to obtain the actual water absorption of the fabric. The theoretical water absorption is calculated based on the fabric drying baseline quality and the process water bath ratio to obtain the theoretical standard water absorption. The difference between the actual water absorption and the theoretical standard water absorption is calculated to obtain the difference in the fabric's water absorption.

[0009] Furthermore, based on the upper and lower limits of the threshold corresponding to the fabric shape change threshold, the corresponding threshold for the difference in water absorption of the dyeing and printing process fabric is obtained, including: Based on the historical data of the fabric shape change threshold and the difference in water absorption, correlation matching is performed to establish the correlation between fabric deformation and water absorption. Based on the correlation between the fabric shape change threshold and the corresponding fabric deformation-water absorption, the upper and lower limits of the water absorption difference are derived and calculated to establish the water absorption difference threshold for dyeing and printing process fabrics.

[0010] Furthermore, based on the normalization processing of the fabric shape change threshold and the difference threshold of water absorption in the dyeing and printing process fabric, a normalization process is performed to establish a mapping between the fabric shape change threshold and the difference threshold of water absorption in the dyeing and printing process fabric under the same value range, including: The normalization process is performed based on the fabric shape change threshold and the difference threshold of water absorption of the dyeing and printing process fabric to obtain the normalized shape change threshold and the difference of normalized water absorption threshold respectively. Based on the difference between the normalized shape change threshold and the normalized water absorption threshold, the same value range adjustment process is performed to obtain the corresponding fabric shape change threshold mapping and the water absorption difference threshold mapping of the dyeing and printing process fabric, respectively.

[0011] Furthermore, based on the fabric shape change threshold mapping and the dyeing process fabric water absorption difference threshold mapping, the corresponding Euclidean distance is obtained, including: Based on the aforementioned fabric shape change threshold mapping and the dyeing process fabric water absorption difference threshold mapping, coordinate transformation processing is performed to obtain several two-dimensional coordinates of dyeing process parameters, and a set of two-dimensional coordinates of dyeing process parameters is established. Based on the two-dimensional coordinate set of the dyeing and printing process parameters and the corresponding coordinate system origin, the Euclidean distance of several dyeing and printing process parameters is obtained respectively.

[0012] Furthermore, the intelligent water-saving printing and dyeing treatment based on the water consumption corresponding to the Euclidean distance includes: Matching is performed based on the Euclidean distance to obtain the corresponding water consumption, and the water supply parameters of the dyeing and printing process are adjusted based on the water consumption.

[0013] Furthermore, adjusting the water supply parameters for the dyeing and printing process based on the water consumption includes: Data acquisition and processing are performed based on the water consumption to obtain real-time process parameters and establish an iterative correction dataset. The historical process data is updated based on the iteratively corrected dataset to obtain updated historical process data, and the threshold mapping is iteratively corrected based on the updated historical process data to complete the adjustment process.

[0014] Based on the same inventive concept, this invention also provides a system for an intelligent water-saving dyeing and printing method based on multi-parameter fusion, characterized in that it includes: The fabric feature acquisition module is used to determine the type of dyed fabric and to obtain the corresponding historical pre-dyeing and post-dyeing fabric shape features based on the fabric type. The printing and dyeing overprinting grading module is used to classify the fabric shape feature change rate based on the number of overprints in the printing and dyeing process, so as to establish the fabric shape change threshold. The water consumption data processing module is used to obtain the historical wetting moisture content of the fabric and the process water bath ratio data in the dyeing process, so as to obtain the difference in the water absorption of the fabric during the dyeing process. The fabric deformation processing module is used to obtain the corresponding water absorption difference threshold of the dyeing and printing process fabric based on the upper and lower limits of the threshold corresponding to the fabric shape change threshold. The normalization calculation and processing module is used to perform normalization processing based on the fabric shape change threshold and the difference threshold of water absorption of dyed and printed fabric, so as to establish the fabric shape change threshold mapping and the difference threshold of water absorption of dyed and printed fabric under the same value range. The dyeing and printing water-saving optimization module is used to obtain the corresponding Euclidean distance based on the fabric shape change threshold mapping and the dyeing and printing process fabric water absorption difference threshold mapping, and to perform intelligent water-saving dyeing and printing treatment based on the water consumption corresponding to the Euclidean distance.

[0015] Compared with the closest existing technology, the present invention has the following advantages: Standardized processing of dyeing and printing process data was achieved. Outlier removal and normalization eliminated dimensional differences and environmental interference among multi-dimensional parameters, improving the real-time performance and reliability of the data and laying the foundation for accurately establishing a mapping between deformation and water absorption. Through time-series and correlation analysis, the evolution trend, rate of change, and abnormal disturbance nodes of fabric deformation and water absorption characteristics were accurately identified, clarifying the actual abnormal state of dyeing and printing and effectively reducing errors caused by fabric shape fluctuations during production. Independent correlation analysis of isolated risk nodes was introduced, and through hysteresis and clustering algorithms, the deep implicit relationship between process parameters and fabric physical properties was uncovered, avoiding the omission of nonlinear risks in dynamic production and improving the comprehensiveness of water-saving control. Based on risk nodes, multi-level water use risk areas and dyeing risk moments were divided, and combined with time-series correlation verification, precise dynamic control of water consumption was achieved, providing a scientific basis for water allocation in dyeing and printing processing. This significantly reduced water waste while ensuring the deformation stability and dyeing uniformity of the fabric. Attached Figure Description

[0016] Figure 1 This is a flowchart of an intelligent water-saving dyeing and printing method based on multi-parameter fusion provided by the present invention; Figure 2This is a flowchart of coordinate mapping and Euclidean distance calculation for an intelligent water-saving dyeing method based on multi-parameter fusion provided by the present invention; Figure 3 This is a flowchart of threshold establishment for an intelligent water-saving dyeing and printing method based on multi-parameter fusion provided by the present invention; Figure 4 This is a schematic diagram of an intelligent water-saving printing and dyeing system based on multi-parameter fusion provided by the present invention. Detailed Implementation

[0017] The specific embodiments of the present invention will be further described in detail below with reference to the accompanying drawings.

[0018] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0019] Example 1: This invention provides an intelligent water-saving dyeing and printing method based on multi-parameter fusion, such as... Figure 1 As shown, it includes: S1. Determine the type of dyed fabric and obtain the corresponding historical pre-dyeing and post-dyeing fabric shape characteristics based on the fabric type. S2. The fabric shape feature change rate is divided based on the number of overprints in the dyeing process to establish a fabric shape change threshold. S3. Obtain the historical wetting moisture content and process water bath ratio data of the fabric in the dyeing process, so as to obtain the difference in the amount of water absorbed by the fabric during the dyeing process. S4. Based on the upper and lower limits of the threshold corresponding to the fabric shape change threshold, obtain the corresponding threshold for the difference in water absorption of the dyeing and printing process fabric. S5. Normalize the fabric shape change threshold and the difference threshold of water absorption of dyed and printed fabrics to establish a mapping between the fabric shape change threshold and the difference threshold of water absorption of dyed and printed fabrics under the same value range. S6. Based on the fabric shape change threshold mapping and the fabric water absorption difference threshold mapping of the dyeing process, obtain the corresponding Euclidean distance, and perform intelligent water-saving dyeing treatment based on the water consumption corresponding to the Euclidean distance.

[0020] S1 specifically includes: S1-1. Based on the type of printed and dyed fabric and the corresponding process inspection data of the same batch, obtain the initial shape characteristic parameters of the fabric before printing and dyeing. S1-2. Based on the initial shape feature parameters, perform synchronous acquisition processing to obtain the final shape feature parameters of the same type of printed and dyed fabric after printing and dyeing. S1-3. Perform single-parameter calculation processing based on the initial shape feature parameters and the final shape feature parameters to obtain the change rate of single fabric shape features; S1-4. Based on the individual change rate, perform integrated screening and anomaly removal processing to obtain the fabric shape feature change rate of the printed and dyed fabric.

[0021] S2 specifically includes: S2-1. Based on the number of overprints in the dyeing process, the change rate of fabric shape characteristics is divided into intervals to obtain several change rate intervals. S2-2. Perform fluctuation range statistical processing based on the historical process data corresponding to the several rate of change intervals to determine the fluctuation range of the rate of change intervals respectively, so as to establish the fabric shape change threshold.

[0022] S3 specifically includes: S3-1. Calculate the water absorption based on the fabric's dry baseline quality and historical wetting moisture content to obtain the actual water absorption of the fabric. S3-2. Based on the fabric drying baseline quality and the process water bath ratio, calculate the theoretical water absorption to obtain the theoretical standard water absorption. S3-3. Calculate the difference between the actual water absorption and the theoretical standard water absorption to obtain the difference in the fabric's water absorption.

[0023] S4 specifically includes: S4-1. Based on the historical data of the fabric shape change threshold and the difference in water absorption, perform correlation matching to establish the correlation between fabric deformation and water absorption. S4-2. Based on the correlation between the fabric shape change threshold and the corresponding fabric deformation-water absorption, the upper and lower limits of the water absorption difference are derived and calculated to obtain the water absorption difference threshold of the dyeing and printing process fabric.

[0024] S5 specifically includes: S5-1. Normalize the fabric shape change threshold and the difference threshold of water absorption of the dyeing and printing process fabric to obtain the normalized shape change threshold and the difference of normalized water absorption threshold respectively. S5-2. Based on the difference between the normalized shape change threshold and the normalized water absorption threshold, perform same-range adjustment processing to obtain the corresponding fabric shape change threshold mapping and the water absorption difference threshold mapping of the dyeing and printing process fabric respectively.

[0025] S6 specifically includes: S6-1. Based on the fabric shape change threshold mapping and the dyeing process fabric water absorption difference threshold mapping, perform coordinate transformation processing to obtain several two-dimensional coordinates of dyeing process parameters, and establish a set of two-dimensional coordinates of dyeing process parameters. S6-2. Based on the two-dimensional coordinate set of the dyeing and printing process parameters and the corresponding coordinate system origin, the Euclidean distance of several dyeing and printing process parameters is obtained respectively.

[0026] S6-3. Perform matching processing based on the Euclidean distance to obtain the corresponding water consumption, and adjust the water supply parameters of the printing and dyeing process based on the water consumption.

[0027] S6-3 specifically includes: S6-3-1. Based on the water consumption, perform data acquisition and processing to obtain real-time process parameters and establish an iterative correction dataset; S6-3-2. Based on the iterative correction dataset, update the historical process data to obtain the updated historical process data, and based on the updated historical process data, iteratively correct the threshold mapping to complete the adjustment process.

[0028] In this embodiment, a smart water-saving dyeing method based on multi-parameter fusion is described, such as... Figure 2 As shown, the specific implementation process is as follows: The starting time for data collection in the dyeing and printing process was determined based on the moment the fabric entered the main cylinder of the dyeing machine for immersion. Using an infrared shape sensor and a high-precision ultrasonic flow meter installed within the dyeing and printing equipment, data on changes in fabric shape characteristics and real-time water absorption were collected periodically every 100ms, and corresponding data sequences were established simultaneously. A deviation standardization algorithm was used for normalization, and outliers were removed from both types of data sequences to eliminate interference values ​​caused by instantaneous cavitation of the pump body or color foam adhering to the sensor probe surface. The data was mapped to the [0,1] interval to obtain standardized dyeing and printing data values. Simultaneously, based on the fabric material code from the production order system, the corresponding fabric fiber material type was extracted as the dyeing and printing condition type. When performing normalization, to unify the value range of two different types of data to the [0,1] interval, the threshold extreme values ​​are first extracted. Specifically, the maximum and minimum values ​​of the fabric shape change threshold and the water absorption difference threshold are extracted. Single-group normalization calculation is then performed. The calculation formula for each threshold point is as follows: Where K is the normalization result, x is the current value, and x min For the minimum value, x max It is the maximum value; After calculation, two sets of numerical sequences that both fall within [0,1] are obtained, and the alignment and mapping of the same value range are established. The normalized deformation threshold and the water absorption difference threshold are mapped one-to-one according to the process nodes to form a mapping relationship of the same dimension and the same interval, so that the two sets of parameters can be directly transformed into coordinates and Euclidean distance calculated. Extract shape features before and after dyeing and printing based on fabric type, and calculate the rate of change of shape features. Specific classifications include: 1. Due to the different fiber structures and weaving densities of different fabrics, the deformation patterns caused by heat, water absorption and tension during printing and dyeing vary significantly. By performing a single calculation on the initial shape parameters and the final shape parameters, the degree of fabric deformation during the process can be quantified. Outliers can be eliminated to remove interference such as sensor noise and instantaneous equipment vibration, ensuring that the rate of change truly reflects the physical state of the fabric. 2. By dividing the shape change rate into zones based on the number of overprints, a threshold is established based on the statistical fluctuation range. The more times the fabric is overprinted, the more times and for longer it is subjected to dye bath immersion, mechanical stretching, and high temperature, resulting in a larger deformation amplitude and fluctuation range. Setting thresholds by overprint level can match the fabric deformation tolerance boundary under different process intensities, avoiding misjudgment by a single threshold in complex processes; 3. Calculate the actual water absorption based on the wetting moisture content and the theoretical water absorption based on the water bath ratio. Take the difference, that is: actual water absorption = dry baseline mass × wetting moisture content, which reflects the true water holding capacity of the fabric; theoretical water absorption = dry baseline mass × process water bath ratio, which is the standard water consumption of the process; use the calculated difference to reflect the water consumption situation, as the core basis for water-saving control. 4. Based on the upper and lower limits of the deformation threshold, the corresponding water absorption difference threshold is derived. Fabric deformation and water absorption are strongly coupled: excessive deformation will lead to uneven water absorption and local over-wetting; insufficient water absorption will cause color difference and aggravated deformation. By establishing a deformation-water absorption correlation model through historical data, it is possible to reverse the abnormality of one parameter and lock the reasonable range of the other parameter.

[0029] Cotton fiber dyeing: Water absorption data shows a rapid increase followed by a stable high level in the later stage; cotton fiber has high hydrophilicity, and water absorption surges during the wetting stage; as the fiber swelling reaches saturation, the data tends to stabilize, which is suitable for the liquor ratio control requirements when adding dyeing accelerators and avoids color difference caused by uneven water absorption. Silk dyeing: The water absorption data shows a continuous moderate upward trend, and the deformation data increases significantly. Since protein fibers are prone to lateral swelling in alkaline dye baths, it is necessary to maintain linear synchronization between water absorption and width changes throughout the process until the process reaches equilibrium. If the water absorption does not increase significantly, it is judged as poor penetration. Synthetic fiber dyeing: Water absorption data shows a step-like increase and a stable trend in the medium and long term; This type of fiber is highly hydrophobic and only shows a leap in water absorption in the high temperature and high pressure range; The water absorption rate is low and stable in the early stage, and the water absorption increases slightly as the temperature rises above the glass transition temperature in the later stage, which is suitable for the precise water-saving and pressure control requirements in the high temperature range. Blended dyeing: The water absorption data shows a trend of rapid increase at first, stable in the middle, and slight decrease in the later stage; due to the difference in water absorption rate between the two fibers, if the heating rate is too fast after the cotton fiber is saturated, the polyester component will shrink, and the overall water carrying capacity will decrease slightly (which is a physical shrinkage and water squeezing). It needs to be distinguished from abnormal decrease by using the deformation-water absorption correlation model. like Figure 3 As shown, the process for judging the importance of the process is as follows: the core links in the dyeing and printing process that directly affect the dyeing rate and fixation are identified as important process stages; specifically, the heating stage, alkali fixation stage, and high-temperature soaping stage in reactive dye dyeing are all included in the initial screening scope; if abnormal deformation occurs in the above stages, it may lead to fabric abrasion or rope-like creases, and is judged as a critical process stage; non-core dyeing stages such as cold rinsing and room temperature draining are not included for the time being. Quality and safety assessment process: For the stages initially screened, the deformation change rate corresponding to the actual abnormal dyeing nodes is used to determine whether it affects the physical quality of the fabric; if the deformation change rate exceeds the critical value and the stage is in the color fixing reaction period, which directly determines the shrinkage stability of the finished fabric, it is determined to be a critical process stage; if the abnormality is only a slight fluctuation and is in the standby cycle period, it is excluded. Process coordination judgment process: Combine process nodes to determine whether the abnormal node is a pre-process of subsequent precision batching; if the current stage is the starting point of the overflow washing cycle, and the abnormal fluctuation of water absorption will cause the deviation of the water replenishment calculated by the subsequent automation system, thus affecting the balance of the liquor ratio, then it is judged as a critical process stage; if it is an independent backtracking process, it is not judged as a critical process stage. The temporal location and deformation / water absorption correlation pairs of two types of risk nodes are collected to establish an analysis model. For areas with severe water usage deviation, when the rate of change exceeds the limit by more than 30%, the model will automatically trigger a fine-tuning command for the water supply valve. Through K-means clustering analysis, if the similarity of an isolated node is greater than 0.85, it will be reclassified as a pseudo-isolated node caused by systematic delay, ensuring the consistency of risk identification. For multi-level water use risk areas, two types of risk node sequences are extracted within the same risk moment. If the moment of dramatic increase in deformation coincides with the moment of sudden drop in water absorption, i.e., the cross-correlation coefficient is greater than 0.9, it indicates that the fabric is entangled and blocked in the cylinder, resulting in a reduction in the effective water absorption area. This is a valid verification result, and the system immediately adjusts the pump speed and corrects the water replenishment. If the two timing sequences are completely opposite, it is determined to be an invalid result caused by a single sensor failure. Based on the valid verification result, the correlation iteration is performed again, the historical data is updated using the current data, and the water control requirements are adjusted in real time.

[0030] Example 2: This invention provides a system for an intelligent water-saving dyeing and printing method based on multi-parameter fusion, such as... Figure 4 As shown, it includes: The fabric feature acquisition module is used to determine the type of dyed fabric and to obtain the corresponding historical pre-dyeing and post-dyeing fabric shape features based on the fabric type. The printing and dyeing overprinting grading module is used to classify the fabric shape feature change rate based on the number of overprints in the printing and dyeing process, so as to establish the fabric shape change threshold. The water consumption data processing module is used to obtain the historical wetting moisture content of the fabric and the process water bath ratio data in the dyeing process, so as to obtain the difference in the water absorption of the fabric during the dyeing process. The fabric deformation processing module is used to obtain the corresponding water absorption difference threshold of the dyeing and printing process fabric based on the upper and lower limits of the threshold corresponding to the fabric shape change threshold. The normalization calculation and processing module is used to perform normalization processing based on the fabric shape change threshold and the difference threshold of water absorption of dyed and printed fabric, so as to establish the fabric shape change threshold mapping and the difference threshold of water absorption of dyed and printed fabric under the same value range. The dyeing and printing water-saving optimization module is used to obtain the corresponding Euclidean distance based on the fabric shape change threshold mapping and the dyeing and printing process fabric water absorption difference threshold mapping, and to perform intelligent water-saving dyeing and printing treatment based on the water consumption corresponding to the Euclidean distance.

[0031] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0032] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0033] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0034] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0035] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A smart water-saving dyeing and printing method based on multi-parameter fusion, characterized in that, include: Determine the type of dyed fabric, and obtain the corresponding historical shape characteristics of the fabric before dyeing and the historical shape characteristics of the fabric after dyeing based on the fabric type. The fabric shape feature change rate is divided based on the number of overprints in the dyeing process to establish a fabric shape change threshold. To obtain historical wetting moisture content and process water bath ratio data of fabrics in the dyeing and printing process, in order to obtain the difference in water absorption of fabrics during the dyeing and printing process. Based on the upper and lower limits of the threshold corresponding to the fabric shape change threshold, the corresponding threshold for the difference in water absorption of the dyeing and printing process fabric is obtained. Based on the normalization process of the fabric shape change threshold and the difference threshold of water absorption of the dyeing and printing process fabric, a mapping of fabric shape change threshold and the difference threshold of water absorption of the dyeing and printing process fabric under the same value range is established. Based on the threshold mapping of fabric shape change and the threshold mapping of difference in fabric water absorption in the dyeing process, the corresponding Euclidean distance is obtained, and intelligent water-saving dyeing treatment is carried out based on the water consumption corresponding to the Euclidean distance.

2. The intelligent water-saving dyeing and printing method based on multi-parameter fusion as described in claim 1, characterized in that, The calculation of the fabric shape feature change rate includes: Based on the type of printed and dyed fabric and the corresponding process inspection data of the same batch, the initial shape characteristic parameters of the fabric before printing and dyeing are obtained. Synchronous acquisition and processing are performed based on the initial shape feature parameters to obtain the final shape feature parameters of the same type of printed and dyed fabric after printing and dyeing. Based on the initial shape feature parameters and the final shape feature parameters, a single parameter calculation process is performed to obtain the change rate of a single fabric shape feature. Based on the individual change rate, anomaly removal is performed through integration and screening to obtain the fabric shape characteristic change rate of the printed and dyed fabric.

3. The intelligent water-saving dyeing and printing method based on multi-parameter fusion as described in claim 2, characterized in that, The process of dividing the fabric shape feature change rate based on the number of overprints in the dyeing and printing process to establish a fabric shape change threshold includes: The fabric shape feature change rate is divided into several intervals based on the number of overprints in the dyeing process. Based on the historical process data corresponding to the aforementioned several rate of change intervals, statistical processing of the fluctuation range is performed to determine the fluctuation range of each rate of change interval, thereby establishing a threshold for fabric shape change.

4. The intelligent water-saving dyeing and printing method based on multi-parameter fusion as described in claim 3, characterized in that, The process of obtaining historical wetting moisture content and process water bath ratio data of the fabric during the dyeing and printing process, in order to obtain the difference in fabric water absorption during the dyeing and printing process, includes: The water absorption is calculated based on the fabric's dry baseline quality and historical wetting moisture content to obtain the actual water absorption of the fabric. The theoretical water absorption is calculated based on the fabric drying baseline quality and the process water bath ratio to obtain the theoretical standard water absorption. The difference between the actual water absorption and the theoretical standard water absorption is calculated to obtain the difference in the fabric's water absorption.

5. The intelligent water-saving dyeing and printing method based on multi-parameter fusion as described in claim 4, characterized in that, Based on the upper and lower limits of the threshold corresponding to the fabric shape change threshold, the corresponding threshold for the difference in water absorption of the dyeing and printing process fabric is obtained, including: Based on the historical data of the fabric shape change threshold and the difference in water absorption, correlation matching is performed to establish the correlation between fabric deformation and water absorption. Based on the correlation between the fabric shape change threshold and the corresponding fabric deformation-water absorption, the upper and lower limits of the water absorption difference are derived and calculated to establish the water absorption difference threshold for dyeing and printing process fabrics.

6. The intelligent water-saving dyeing and printing method based on multi-parameter fusion as described in claim 5, characterized in that, Normalization is performed based on the fabric shape change threshold and the difference threshold of water absorption in the dyeing and printing process to establish a mapping between the fabric shape change threshold and the difference threshold of water absorption in the dyeing and printing process under the same value range, including: The normalization process is performed based on the fabric shape change threshold and the difference threshold of water absorption of the dyeing and printing process fabric to obtain the normalized shape change threshold and the difference of normalized water absorption threshold respectively. Based on the difference between the normalized shape change threshold and the normalized water absorption threshold, the same value range adjustment process is performed to obtain the corresponding fabric shape change threshold mapping and the water absorption difference threshold mapping of the dyeing and printing process fabric, respectively.

7. The intelligent water-saving dyeing and printing method based on multi-parameter fusion as described in claim 6, characterized in that, Based on the aforementioned fabric shape change threshold mapping and the dyeing and printing process fabric water absorption difference threshold mapping, the corresponding Euclidean distance is obtained, including: Based on the aforementioned fabric shape change threshold mapping and the dyeing process fabric water absorption difference threshold mapping, coordinate transformation processing is performed to obtain several two-dimensional coordinates of dyeing process parameters, and a set of two-dimensional coordinates of dyeing process parameters is established. Based on the two-dimensional coordinate set of the dyeing and printing process parameters and the corresponding coordinate system origin, the Euclidean distance of several dyeing and printing process parameters is obtained respectively.

8. The intelligent water-saving dyeing and printing method based on multi-parameter fusion as described in claim 7, characterized in that, The intelligent water-saving printing and dyeing process based on water consumption corresponding to Euclidean distance includes: Matching is performed based on the Euclidean distance to obtain the corresponding water consumption, and the water supply parameters of the dyeing and printing process are adjusted based on the water consumption.

9. The intelligent water-saving dyeing and printing method based on multi-parameter fusion as described in claim 8, characterized in that, Adjusting the water supply parameters for the dyeing and printing process based on the aforementioned water consumption includes: Data acquisition and processing are performed based on the water consumption to obtain real-time process parameters and establish an iterative correction dataset. The historical process data is updated based on the iteratively corrected dataset to obtain updated historical process data, and the threshold mapping is iteratively corrected based on the updated historical process data to complete the adjustment process.

10. The system of the intelligent water-saving printing and dyeing method based on multi-parameter fusion as described in any one of claims 1-9, characterized in that, include: The fabric feature acquisition module is used to determine the type of dyed fabric and to obtain the corresponding historical pre-dyeing and post-dyeing fabric shape features based on the fabric type. The printing and dyeing overprinting grading module is used to classify the fabric shape feature change rate based on the number of overprints in the printing and dyeing process, so as to establish the fabric shape change threshold. The water consumption data processing module is used to obtain the historical wetting moisture content of the fabric and the process water bath ratio data in the dyeing process, so as to obtain the difference in the water absorption of the fabric during the dyeing process. The fabric deformation processing module is used to obtain the corresponding water absorption difference threshold of the dyeing and printing process fabric based on the upper and lower limits of the threshold corresponding to the fabric shape change threshold. The normalization calculation and processing module is used to perform normalization processing based on the fabric shape change threshold and the difference threshold of water absorption of dyed and printed fabric, so as to establish the fabric shape change threshold mapping and the difference threshold of water absorption of dyed and printed fabric under the same value range. The dyeing and printing water-saving optimization module is used to obtain the corresponding Euclidean distance based on the fabric shape change threshold mapping and the dyeing and printing process fabric water absorption difference threshold mapping, and to perform intelligent water-saving dyeing and printing treatment based on the water consumption corresponding to the Euclidean distance.

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