CN-121982117-A - Laboratory color matching intelligent management method and system

CN121982117ACN 121982117 ACN121982117 ACN 121982117ACN-121982117-A

Abstract

The invention belongs to the technical field of laboratory color matching management, and particularly relates to a laboratory color matching intelligent management method and system, wherein the method comprises the following steps: the method comprises the steps of receiving ERP tasks, matching a preliminary color matching scheme, calculating color matching error indexes, judging whether to trigger adjustment according to the error indexes, determining target color matching sources, adjustment ranges and single adjustment amplitude by combining historical records if the adjustment is triggered, developing color matching simulation, outputting an adjustment scheme, carrying out small sample dyeing measurement based on the preliminary or adjustment scheme, carrying out color difference comparison, executing the scheme if the small sample dyeing measurement is qualified, and pushing the adjustment scheme and the simulation record to an ERP historical color matching record log. According to the invention, through the advanced pre-judgment and the virtual simulation adjustment driven by the historical data, the invalid small sample manufacturing and blind trial and error are reduced, the color matching efficiency and precision are improved, the dependence on the experience of operators is reduced, and meanwhile, the formula library is optimized through data feedback iteration, so that the intelligent level of color matching management is further enhanced.

Inventors

LIU FENGYAN
SUN XIAOFENG
WANG FANG
XIAO SHUPING
SUN RUXIN
ZHANG XIUFENG
CUI MINGHAO
Gai Dianchen

Assignees

山东德信羊绒科技股份有限公司

Dates

Publication Date: 20260505
Application Date: 20260112

Claims (10)

1. The intelligent management method for laboratory color matching is characterized by comprising the following steps: receiving an ERP task and matching a primary color matching scheme; Each color matching record identical to the ERP task is called from a historical color matching record log of the ERP system, and a color matching error index is calculated; Judging whether to trigger the adjustment of the color matching scheme based on the color matching error index, if not, executing the next step, otherwise, determining a target color matching source, an adjustment interval of the target color matching source and a single adjustment amplitude based on the color matching record, synchronously performing color matching simulation, recording a color matching simulation record, and outputting an adjustment color matching scheme; According to the preliminary color matching scheme or the adjustment color matching scheme, dyeing the small sample by a dropping machine, performing color measurement, performing color difference comparison on the obtained measured data and QTX standard data, and judging whether the dyed small sample meets the preset requirement; if the preset requirement is met, color matching is carried out according to the primary color matching scheme or the adjustment color matching scheme, the adjustment color matching scheme adjusted by the triggering scheme and the simulation record are pushed back to the historical color matching record log of the ERP system together, and the updated historical color matching record log is generated.
2. The intelligent laboratory color matching management method of claim 1, wherein the matching process of the preliminary color matching scheme comprises the following steps: extracting color code requirements and substrate types of the ERP task, taking the color code requirements and the substrate types as cooperative matching elements, and comparing the cooperative matching elements with cooperative matching elements associated with laboratory historical color matching formula data in the historical color matching record log; And taking laboratory historical color matching formula data with consistent synergistic matching elements as a preliminary color matching scheme.
3. The intelligent laboratory color matching management method of claim 1, wherein the calculating process of the color matching error index comprises the following steps: Extracting the proportion of each color matching source before adjustment, the number of times of color matching adjustment, the end time of each color matching adjustment, the type of the adjusted color matching source and the adjustment proportion of the corresponding type of the adjusted color matching source from the color matching record, and respectively calculating the overall adjustment coverage and the overall adjustment degree; And carrying out linear weighted summation on the overall adjustment coverage and the overall adjustment degree to obtain the color matching error index.
4. The intelligent management method for laboratory color matching of claim 3, wherein the calculating process of the overall adjustment coverage comprises the following steps: for each color matching record, the color matching primary types correspondingly adjusted during each color matching adjustment are compared with each other, and the number of the existing color matching primary types is counted; Comparing the existing color matching primary types with the total number of preset color matching primary to obtain the color matching primary adjustment coverage of the single color matching record; and calculating the average value of the color matching primary adjustment coverage of the single color matching record, and taking the average value as the whole adjustment coverage.
5. The intelligent laboratory color matching management method of claim 3, wherein the calculation process of the overall adjustment degree comprises the following steps: Summing the adjustment proportions correspondingly adjusted by the same adjustment color matching primary type when the color matching is adjusted for each time to obtain the total adjustment proportion corresponding to each adjustment color matching primary type; screening the proportion of the corresponding adjusted color matching primary types from the proportion of each color matching primary before adjustment, and taking the proportion as the initial proportion of the corresponding adjusted color matching primary types; calculating the ratio of the total adjustment proportion to the initial proportion of each adjustment color matching primary type respectively to obtain the adjustment degree of each adjustment color matching primary type; Screening the maximum adjustment degree from the adjustment degrees of the color matching primary types to be used as the adjustment degree of the corresponding color matching record; Extracting the end time of the last color matching adjustment from each color matching record, and setting time weight according to the end time and the current time; and carrying out linear weighted summation on the adjustment degree of each color matching record based on the time weight of each color matching record to obtain the overall adjustment degree.
6. The intelligent laboratory color matching management method as set forth in claim 3, wherein the determining process of the target color matching source comprises the following steps: counting the total adjustment proportion of each color matching primary type during each color matching adjustment, and calculating the average total adjustment proportion of each color matching primary type; Counting the total occurrence times of the adjustment color matching primary types in all color matching records, and taking the ratio of the total occurrence times to the color matching record times as a repeated adjustment color matching ratio; Calculating the product of the average adjustment proportion sum of each adjustment color matching primary type and the repeated adjustment color matching proportion of the corresponding adjustment color matching primary type to obtain the adjustment importance of the corresponding adjustment color matching primary type; counting the number of color matching records which occur corresponding to each of the adjustment color matching primary types, and marking the adjustment color matching primary type with the largest number as a candidate color matching primary type; and taking the candidate color matching source type corresponding to the adjustment importance degree larger than the preset importance degree threshold value as a target color matching source.
7. The intelligent laboratory color matching management method as set forth in claim 3, wherein the process of determining the adjustment interval comprises: Extracting the adjustment proportion of the target chromogen in each color matching record corresponding to each color matching adjustment in each color matching record, and constructing an adjustment proportion sequence of the target chromogen; removing abnormal values from the adjustment proportion sequence, and extracting the maximum adjustment proportion and the minimum adjustment proportion of each target chromogen from the removed adjustment proportion sequence; the minimum adjustment ratio of the target chromogen is used as the lower limit value of the adjustment interval, and the maximum adjustment ratio of the target chromogen is used as the upper limit value of the adjustment interval, so that the adjustment interval corresponding to the target chromogen is obtained.
8. The intelligent laboratory color matching management method of claim 7, wherein the single adjustment amplitude determination process comprises the following steps: Acquiring each adjustment color matching source adjustment interval according to the acquisition mode of the adjustment interval of the target color matching source in the same way; Calculating the interval similarity between the adjustment interval of each target chromogen and the adjustment interval of the adjustment chromogen, and marking the adjustment chromogen with the interval similarity larger than a preset similarity threshold value as a reference chromogen; Counting the number of color matching records of each reference color matching source, comparing the number with the total number of the color matching records, and recording the ratio as a reference weight; counting the adjustment times of each reference chromogen, sequencing the adjustment times from small to large, constructing an adjustment time sequence, calculating quartiles and quartiles of the adjustment time sequence, and setting a normal boundary interval based on the quartiles and the quartiles; For each reference chromogen, judging whether the adjustment times are within a normal boundary interval or not: if the adjustment times are in the normal boundary interval, respectively taking the adjustment times and the reference weight as final adjustment times and final reference weight; If the adjustment times is greater than the upper limit of the normal boundary interval, taking the upper limit value of the interval as the final adjustment times, calculating a first reduction coefficient according to the degree that the upper limit value exceeds the upper limit value, and multiplying the reference weight by the first reduction coefficient to obtain the final reference weight; if the adjustment times is smaller than the lower limit of the normal boundary interval, taking the lower limit of the interval as the final adjustment times, calculating a second reduction coefficient according to the degree that the adjustment times is smaller than the lower limit, and multiplying the reference weight by the second reduction coefficient to obtain the final reference weight; Based on the final reference weight of each reference chromogen, carrying out linear weighted summation on the final adjustment times, and carrying out upward integer solving on the calculation result to obtain the basic adjustment times; and calculating the ratio of the width of the adjustment interval of the target chromogen to the reference adjustment times to obtain the single adjustment amplitude of the target chromogen.
9. The intelligent laboratory color matching management method of claim 5, wherein the determining step of adjusting the color matching scheme comprises the steps of: Taking a ratio reference value of the target chromogen as an analog starting point, and calling an adjustment interval, a single adjustment amplitude and QTX standard data of the target chromogen, wherein the ratio of the non-target chromogen is kept in the initial ratio setting; calculating the ratio of the width of the adjustment interval to the single adjustment amplitude, and rounding up to obtain the maximum analog step number; Starting from a simulation starting point, carrying out bidirectional successive adjustment according to single adjustment amplitude, sequentially carrying out color difference comparison on the adjusted simulation color data and QTX standard data of an ERP task to obtain a color difference value, synchronously recording an adjusted matching ratio, and marking the matching ratio as an adjusted matching ratio; And taking the adjustment matching ratio corresponding to the color difference value which is not exceeding the preset color difference threshold value for the first time as the final matching setting of the target color matching source, and combining the final matching setting of the target color matching source and the initial matching setting of the non-target color matching source into an adjustment color matching scheme.
10. The intelligent laboratory color matching management system is characterized by comprising: The color matching scheme matching module receives the ERP task and matches the primary color matching scheme; the error index calculation module is used for calling each color matching record which is the same as the ERP task from the historical color matching record log of the ERP system and calculating color matching error indexes; The color matching scheme output module judges whether to trigger color matching scheme adjustment based on the color matching error index, if not, the next step is executed, otherwise, the target color matching source, the adjustment interval of the target color matching source and the single adjustment amplitude are determined based on the color matching record, the color matching simulation is synchronously carried out, the color matching simulation record is recorded, and the color matching scheme is output; The dyeing comparison module is used for finishing the dyeing of the small sample through a dropping machine according to a preliminary color matching scheme or an adjustment color matching scheme, performing color measurement, performing color difference comparison on the obtained measured data and QTX standard data, and judging whether the dyed small sample meets preset requirements; And if the formula updating module meets the preset requirement, performing color matching according to the preliminary color matching scheme or the adjustment color matching scheme, pushing the adjustment color matching scheme adjusted by the trigger scheme and the simulation record back to the historical color matching record log of the ERP system, and generating an updated historical color matching record log.

Description

Laboratory color matching intelligent management method and system Technical Field The invention belongs to the technical field of laboratory color matching management, and particularly relates to an intelligent laboratory color matching management method and system. Background In the product dyeing production process in the industrial fields of textile printing and dyeing, coating chemical industry and the like, the qualification rate of the product is related to the color matching accuracy, so that matching of the matching color source ratio and the target color code is required to be realized through accurate color matching, the matching process generally needs to determine the matching and matching scheme of the target color code through laboratory color matching, and the laboratory color matching is required to be managed for improving the accurate adjustment and efficient management and control of the laboratory color matching. The conventional laboratory color matching is generally to screen an adaptive color matching source directly according to the color standard and the substrate characteristics of a color matching task after the color matching task is received, design an initial matching scheme based on historical formula data, then calculate a color difference value to judge whether the color matching is qualified or not by manufacturing a standard sample, and directly multiplex or simply fine tune the historical formula data to generate the initial matching scheme after the color matching task is received, so that objective quantitative analysis and active pre-judgment on potential error modes in a historical color matching record are lacked, the suitability of the initial scheme is lacked reliable pre-judgment basis, and the color deviation risk cannot be recognized and avoided in advance. In addition, if the color difference detected by detection exceeds the standard requirement, the analysis and judgment are mainly needed to be carried out by relying on experience of operators, multiple small sample manufacturing and detection processes are involved, the situation of excessive or insufficient adjustment is easy to occur, the color deviation direction is directly adjusted by experience in the whole color matching process after the small sample is detected, and the proportion or the type of the color matching source is adjusted, so that the color matching process is trapped in blind repeated operation trial-and-error circulation, a large number of invalid adjustment operations are generated, and finally the color matching period is prolonged. Disclosure of Invention In view of this, in order to solve the above problems, a laboratory color matching intelligent management method is proposed. The intelligent management method for laboratory color matching comprises the steps of receiving an ERP task and matching a preliminary color matching scheme. And retrieving each color matching record which is the same as the ERP task from the historical color matching record log of the ERP system, and calculating color matching error indexes. And judging whether to trigger the adjustment of the color matching scheme based on the color matching error index, if not, executing the next step, otherwise, determining the target color matching source, the adjustment interval of the target color matching source and the single adjustment amplitude based on the color matching record, synchronously carrying out color matching simulation, recording the color matching simulation record, and outputting the adjustment color matching scheme. And (3) finishing the dyeing of the small sample by a dropping machine according to the preliminary color matching scheme or the adjustment color matching scheme, performing color measurement, performing color difference comparison on the obtained measured data and QTX standard data, and judging whether the dyed small sample meets the preset requirement. If the preset requirement is met, color matching is carried out according to the primary color matching scheme or the adjustment color matching scheme, the adjustment color matching scheme adjusted by the triggering scheme and the simulation record are pushed back to the historical color matching record log of the ERP system together, and the updated historical color matching record log is generated. The invention also provides an intelligent management system for laboratory color matching, which comprises a color matching scheme matching module, an error index calculation module, a color matching scheme output module, a dyeing comparison module and a formula updating module. And the color matching scheme matching module is used for receiving the ERP task and matching the primary color matching scheme. And the error index calculation module is used for retrieving each color matching record which is the same as the ERP task from the historical color matching record log of the ERP system and calculating color matching error indexes. And