CN-121636982-B - Method for predicting degradation and managing health of electroplating cathode and anode materials

CN121636982BCN 121636982 BCN121636982 BCN 121636982BCN-121636982-B

Abstract

The present invention discloses a method for predicting and managing the degradation of anode and cathode materials in electroplating, specifically related to the field of data analysis in electroplating production lines. The method is used to solve the problem of existing electroplating production lines relying on manual experience and a single voltage threshold to arrange anode and cathode maintenance, which makes it difficult to identify the degree of material degradation in a timely manner. The method involves obtaining data with time stamps to construct the original working condition trajectory, screening the slow load change interval, calculating the theoretical reference and deviation trajectory, identifying the degradation sensitive interval, extracting the monotonic accumulation feature of deviation and the decoupling feature of deviation and load to form a comprehensive judgment coefficient, and then adaptively updating the threshold of the comprehensive judgment coefficient and the division parameters of the degradation sensitive interval by combining the anode and cathode replacement record and the coating quality record, achieving continuous prediction and fine management of the degradation process of electroplating anode and cathode.

Inventors

Nie Yiyi
LV MINGWEI
JIANG CHENG
YANG XIONG
ZHAO ZHISONG
Yuan Ciming

Assignees

武汉奥邦表面技术有限公司

Dates

Publication Date: 20260508
Application Date: 20260204

Claims (6)

1. The method for predicting the degradation and managing the health of the electroplating cathode and anode material is characterized by comprising the following steps: S1, acquiring process operation data of an electroplating production line, and sorting the process operation data into original working condition tracks according to time sequence; s2, selecting a load change slow section from the original working condition track, calculating a theoretical reference quantity corresponding to the load change slow section, obtaining a deviation track by making a difference between the actual observed quantity and the theoretical reference quantity, and marking a degradation sensitive section by comparing deviation change conditions of adjacent load change slow sections; The method comprises the following steps of obtaining a theoretical reference voltage value in a load change slow interval set based on a load current value and a process variable vector through a theoretical voltage calculation relation, constructing a deviation value sequence by using an observed voltage value and the theoretical reference voltage value, calculating an interval deviation representative value according to the load change slow interval, constructing a dimensionless adjacent interval deviation change ratio according to an adjacent interval deviation representative value difference value, and merging the load change slow interval according to a deviation change ratio threshold value to generate a degradation sensitive interval set; s3, for each degradation sensitive interval, constructing analysis indexes according to the accumulated characteristics of deviation along with time and the related characteristics of the deviation and load fluctuation, and determining a comprehensive judgment coefficient for representing the degradation degree of the cathode and the anode in a characteristic space according to the normalized distance between the analysis indexes and a preset degradation target point; step S3 includes the following: Constructing a deviation symbol sequence according to the deviation value in each degradation sensitive interval, counting the ratio of the longest continuous segment length which is the same and is not zero to the number of sampling points of the degradation sensitive interval to obtain a deviation symbol continuous proportion, obtaining a deviation increment according to the difference between the deviation values of adjacent sampling points and summing the absolute values of the deviation increments to obtain a deviation absolute increment sum, obtaining a deviation net accumulation proportion according to the ratio of the absolute value of the difference between the deviation values of the sampling points at the beginning and the end of the degradation sensitive interval to the deviation absolute increment sum, squaring the product of the deviation symbol continuous proportion and the deviation net accumulation proportion to obtain a deviation monotone accumulation index; and S4, establishing a corresponding relation between the comprehensive judging coefficient of the degradation sensitive interval and the cathode-anode maintenance record and the coating quality record when the electroplating production line runs later, training positive and negative samples by using the corresponding relation, and gradually correcting degradation identification parameters and decision boundaries.
2. The method for predicting degradation and managing health of a plating cathode and anode material according to claim 1, wherein step S1 comprises the following steps: Acquiring process operation data with time marks, arranging the process operation data in time sequence to form an original working condition track, differentiating adjacent time marks to obtain sampling time intervals, calculating the maximum value in the sampling time intervals to construct a sampling interval ratio sequence, determining a sampling interval ratio threshold interval based on historical stable operation data, screening sampling points with sampling interval ratios falling into the threshold interval to form an effective sampling point index set, and reconstructing the original working condition track according to the effective sampling point index set.
3. The method for predicting degradation and managing health of a plating cathode and anode material according to claim 2, wherein step S2 further comprises: Calculating the load current value difference of adjacent sampling points in the original working condition track to obtain a load variation, measuring an absolute value of the load variation to obtain an absolute load variation, constructing a dimensionless load variation ratio by using the maximum value of the absolute load variation, setting a dimensionless load variation ratio threshold value according to the dimensionless load variation ratio average value of the stable operation historical data, dividing a load variation slow interval on a time axis by combining the minimum sampling point number threshold value, and forming a load variation slow interval set.
4. The method for predicting degradation and managing health of a plating cathode and anode material according to claim 1, wherein step S4 comprises the following steps: In the subsequent operation of the electroplating production line, according to the ending time of each degradation sensitive interval and the length parameter of the time window, the cathode replacement record, the anode replacement record and the coating quality record are searched on a time axis, the degradation sensitive interval with the record in the time window is marked as a positive sample, the degradation sensitive interval without the record in the time window is marked as a negative sample, and a positive sample index set and a negative sample index set are formed.
5. The method for predicting degradation and managing health of a plating cathode and anode material according to claim 4, wherein step S4 further comprises: And extracting comprehensive judgment coefficients from the positive sample index set, sorting the positive sample index set according to the values from small to large, calculating sorting positions according to alarm sorting parameters, taking out the comprehensive judgment coefficients at the corresponding positions from the sorting sequences as comprehensive judgment coefficient alarm thresholds, and taking the corresponding degradation sensitive sections as alarm objects when the updated comprehensive judgment coefficients are not smaller than the comprehensive judgment coefficient alarm thresholds in subsequent operation.
6. The method for predicting degradation and managing health of a plating cathode and anode material according to claim 5, wherein step S4 further comprises: Calculating an arithmetic average value as a degradation target point coordinate according to a deviation monotonic accumulation index and a deviation load decoupling index in a positive sample, determining a distance normalization upper limit according to the Euclidean distance maximum value from all degradation sensitive intervals to the degradation target point, selecting a deviation change ratio threshold according to the ordering distribution of the deviation change ratio of dimensionless adjacent intervals in the positive sample, calculating and updating a comprehensive judgment coefficient and dividing the degradation sensitive intervals by using the updated degradation target point, the updated distance normalization upper limit and the updated deviation change ratio threshold in subsequent operation.

Description

Method for predicting degradation and managing health of electroplating cathode and anode materials Technical Field The invention relates to the field of electroplating production line data analysis, in particular to a method for predicting degradation and managing health of an electroplating cathode and anode material. Background On the electroplating production line, the cathode and the anode are mostly made of insoluble materials, and the surface state and the coating integrity of the cathode and the anode can be gradually degraded along with long-term energization, electrochemical reaction and working condition change. In order to grasp the use condition of the anode without stopping the line, there is proposed a method of combining process data and a physical model, in which a theoretical voltage to be applied to the rectifier when the anode is healthy is calculated based on process parameters, then the theoretical value is subtracted from an actual measured voltage, the obtained difference is converted into a so-called parasitic resistance, and whether the anode is aged or abnormal in installation is judged by the magnitude and the change of the parasitic resistance, thereby assisting in determining whether the anode needs to be replaced without dismantling. The method has strong practicability in engineering, has preliminarily realized anode state identification based on process signals, and provides important references for the degradation prediction and health management of the electroplated cathode and anode materials. However, this approach of treating the voltage difference directly as a single health indicator has significant drawbacks when used for the prediction of degradation and health management of electroplated cathode and anode materials. In actual operation, the index of parasitic resistance often comprehensively reflects the superposition change of various factors, the numerical change of the index not only corresponds to the degradation degree of the anode material, the model can only generally give rough judgment of whether the anode is abnormal or not when outputting a result, and it is difficult to finely distinguish different degradation stages, and it is also difficult to accurately reflect the complete attenuation process from the initial stage to the scrapped stage of the single cathode or anode material. For field maintenance personnel, only one group of anodes can be replaced integrally according to whether parasitic resistance exceeds an experience range, deeper information such as degradation trend and residual service time of single-block electroplating cathode-anode materials cannot be obtained, and real cathode-anode material degradation prediction and health management are difficult to realize. In order to solve the above problems, a technical solution is now provided. Disclosure of Invention In order to overcome the defects in the prior art, the embodiment of the invention provides a method for predicting degradation and managing health of an electroplating cathode-anode material, which comprises the steps of constructing an original working condition track by acquiring data with time marks, screening a load change slow interval, calculating theoretical reference quantity and deviation track, identifying a degradation sensitive interval, extracting deviation monotonically accumulated characteristics, deviation and load decoupling characteristics to form a comprehensive judgment coefficient, and carrying out self-adaptive updating on a threshold value of the comprehensive judgment coefficient and a dividing parameter of the degradation sensitive interval by combining cathode-anode replacement record and coating quality record, so as to realize continuous prediction and fine management on the degradation process of the electroplating cathode-anode, thereby solving the problems in the background art. In order to achieve the above purpose, the present invention provides the following technical solutions: S1, acquiring process operation data of an electroplating production line, and sorting the process operation data into original working condition tracks according to time sequence; s2, selecting a load change slow section from the original working condition track, calculating a theoretical reference quantity corresponding to the load change slow section, obtaining a deviation track by making a difference between the actual observed quantity and the theoretical reference quantity, and marking a degradation sensitive section by comparing deviation change conditions of adjacent load change slow sections; s3, for each degradation sensitive interval, constructing analysis indexes according to the accumulated characteristics of deviation along with time and the related characteristics of the deviation and load fluctuation, and determining a comprehensive judgment coefficient for representing the degradation degree of the cathode and the anode in a characteristic space according