A surface plating control method and system for an automobile plastic plating part

Abstract

This invention relates to the field of automation control technology and discloses a method and system for controlling electroplating on the surface of automotive plastic electroplated parts. The method includes: identifying deposition units with consistent behavior by setting monitoring points on the surface of the electroplated part, collecting electrical signals, and calculating their changes. The electroplating process is divided into multiple time stages based on the turning points of the change trends. Within each stage, the change characteristics of each unit are analyzed and clustered to form dynamic functional zones. The system monitors the change intensity of each zone in real time to determine whether a global rhythm imbalance or local structural shift occurs in the deposition process, and automatically adjusts process parameters for correction. The deposition enters a stable state by tracking the decay of the change rate. Finally, the electroplating uniformity is comprehensively evaluated based on the degree of coordination within and between zones.

Description

Technical Field

[0001] This invention relates to the field of automation control technology, specifically to a method and system for controlling electroplating on the surface of automotive plastic electroplated parts. Background Technology

[0002] Automotive plastic electroplated parts are widely used in the automotive interior and exterior trim sectors due to their advantages such as light weight, high degree of design freedom, and good decorative effect. However, the electroplating process on plastic substrates is inherently a complex process involving the coupling of multiple physical fields, and its electroplating quality is highly dependent on the actual interaction state of the electroplating field in different surface areas. In existing production processes, electroplating control typically focuses on adjusting overall process parameters, such as uniformly setting electroplating voltage, current density, and processing time, and assuming that the response behavior of the electroplated part surface in the electroplating field is consistent.

[0003] However, in practical applications, the surfaces of automotive plastic electroplated parts often exhibit significant variations in geometric curvature, complex edge structures, and dense patterns of holes, grooves, and decorative textures. Different surface locations show significant differences in their field conditions, electrical responses, and deposition behaviors within the electroplating environment. While some existing technologies incorporate online current or voltage detection methods, these are mostly used only for monitoring overall process stability and cannot be refined to local surface areas, let alone characterize the differences in deposition behavior across different regions over time.

[0004] Furthermore, current electroplating quality control largely relies on post-processing inspections, such as thickness sampling, visual inspection, or destructive analysis. These methods are not only outdated but also fail to identify potential risks of deposition rhythm imbalances, localized deposition anomalies, or latent defects during the electroplating process. Once problems arise, rework or scrapping is often the only option, resulting in high production costs and difficulty in ensuring consistent quality.

[0005] More importantly, existing technologies generally treat the electroplating process as a continuous and uniform time process, lacking the ability to identify the evolutionary characteristics of natural stages during electroplating, and failing to provide a structured description of the transitions, fluctuations, stabilization, or imbalances in deposition behavior from a temporal perspective. This results in process control strategies often being based on experience, making it difficult to adapt to differences between different batches and electroplated parts with different structures.

[0006] Therefore, how to objectively distinguish and structurally analyze the deposition behavior at different locations on the surface of plastic electroplated parts based on directly obtainable electrical response data during the electroplating process, and further realize real-time determination and dynamic control of the evolution state of deposition behavior, has become a key technical problem that urgently needs to be solved in the field of automotive plastic electroplating technology. Summary of the Invention

[0007] This invention provides a method and system for controlling electroplating on the surface of automotive plastic electroplated parts, which helps to solve the problems mentioned in the background art.

[0008] This invention provides the following technical solution: a method for controlling electroplating on the surface of automotive plastic electroplated parts, comprising:

[0009] Monitoring points are set up on the surface of the workpiece to collect electrical data. By calculating and analyzing the changes in the electroplating field at each point, and comparing the cumulative difference in changes with the natural fluctuations of the system, monitoring points with indistinguishable behavior are merged into deposition behavior units. Then, the moment when the change in the unit changes directionally reverses or changes significantly, is identified as the turning point of deposition behavior, so as to divide the time structure segment.

[0010] Within each time structure segment, the variation difference, variation rhythm component, and variation stability component of each sedimentary behavior unit are calculated to form a time structure mapping vector;

[0011] By comparing the differences in the three types of components and their ordering positions between any two units, the consistency of their depositional behavior is determined, and units with consistency are aggregated into dynamic functional partitions.

[0012] Calculate the cumulative intensity of overall change in each partition within the time structure segment. By comparing the intensity change rate between adjacent stages, determine whether the partition has entered a state of deposition behavior imbalance, and distinguish between global rhythm imbalance and local structural shift. Based on this, dynamically adjust the electroplating process parameters.

[0013] By analyzing the decay sequence formed by the change rate of the partition in the continuous stage, it can be determined whether the partition or the workpiece as a whole has entered a stable deposition state.

[0014] Based on the steady-state data of each partition and the consistency of its internal units, an overall electroplating consistency metric is calculated to assess the coating uniformity.

[0015] Optionally, the step of collecting electrical data by setting up monitoring points on the workpiece surface, calculating and analyzing the changes in the electroplating field at each point, and comparing the cumulative differences in changes with the natural fluctuations of the system, merges indistinguishable monitoring points into deposition behavior units, and then identifies the moments when the changes within a unit undergo directional reversal or significant abrupt change as inflection points in deposition behavior, thereby dividing the time structure into segments, including:

[0016] Multiple points were selected on the surface of the electroplated part to collect local electrical response data during the initial electroplating stabilization stage;

[0017] By calculating the variation range of electroplating effect at each point and comparing the cumulative behavioral difference between any two points with the upper limit of the system's natural fluctuation, it can be determined whether multiple points behave equivalently under the action of the electroplating field.

[0018] Points deemed to have equivalent behavior are grouped into a single depositional behavior unit;

[0019] Inflection points in depositional behavior are identified by monitoring trend reversals or significant abrupt changes in the amount of change within each unit. The time interval between adjacent inflection points is used as an independent time structure segment, with each segment corresponding to a natural stage of depositional behavior.

[0020] Optionally, the step of collecting electrical data by setting up monitoring points on the workpiece surface, calculating and analyzing the changes in the electroplating field at each point, and merging indistinguishable monitoring points into deposition behavior units based on the comparison of cumulative differences in changes with the natural fluctuations of the system, further includes identifying the moments when the changes within a unit undergo directional reversal or significant abrupt change as inflection points in deposition behavior to delineate time structure segments.

[0021] By calculating the trend of the change in the amount of action and determining that its directional sign reverses at continuous sampling times, the directional inflection point can be determined.

[0022] By calculating the degree of deviation of the current change in effect relative to the historical average value in the most recent time structure period, if the degree of deviation exceeds the historical maximum deviation in that time period, it is determined that a sudden change in magnitude has occurred, and that moment is marked as a turning point.

[0023] Optionally, within each time structure segment, the step of calculating the variation difference, variation rhythm component, and variation stability component for each depositional behavior unit to form a time structure mapping vector includes:

[0024] For each sedimentary behavior unit within each time structure segment, a unit-level comprehensive variation amplitude sequence is first generated based on data from all points within it;

[0025] Calculate the difference in change of the sequence at adjacent time points, and count the number of changes within the time period as the rhythm component, while accumulating the sum of all differences as the stability component;

[0026] The variation difference sequence, rhythm component, and stability component are combined to form a feature vector that can map the temporal structure of the depositional behavior of the unit in the current time period.

[0027] Optionally, the step of determining the consistency of depositional behavior by comparing the differences and ordering positions of the three types of components between any two units, and aggregating units with consistency into dynamic functional partitions, includes:

[0028] By calculating the degree of difference between any two units in three dimensions: continuity of change, rhythm of change, and stability of change;

[0029] Sort the difference values ​​of all these unit pairs separately within their respective dimensions;

[0030] If the differences between two units are not at the maximum end of the sequence in all three dimensions, i.e., the differences are not the most significant, then it is determined that the two units have consistent depositional behavior in the current time period.

[0031] Based on this, all units that have consistent behavior are merged to form a dynamic functional partition.

[0032] Optionally, the calculation of the cumulative intensity of overall change in each partition within the time structure segment, by comparing the intensity change rate between adjacent stages, determines whether the partition has entered a state of deposition behavior imbalance, and distinguishes between global rhythm imbalance and local structural shift, thereby dynamically adjusting the electroplating process parameters, including:

[0033] The overall cumulative intensity of change of each dynamic functional partition within a continuous time structure segment is calculated, and the trend of its rate of change is analyzed.

[0034] If the rate of change of a certain partition continues to increase, it is determined that it has entered an unbalanced evolutionary state;

[0035] If multiple partitions exhibit this trend simultaneously, it is diagnosed as a global deposition rhythm imbalance.

[0036] If only a few zones show this, it is diagnosed as a localized shift in sedimentary structure.

[0037] Based on different diagnostic results, the planned remaining time and power output change rate of the current electroplating stage are adaptively adjusted to form a new set of control instructions to correct abnormal states.

[0038] Optionally, determining whether a partition or the entire workpiece has entered a stable deposition state by analyzing the decay sequence formed by the changes in the rate of change of the partition in continuous stages includes:

[0039] The structural change attenuation of each dynamic functional partition within a continuous time structural segment is calculated, and the evolution trend of its sequence is analyzed.

[0040] If the change attenuation sequence of a certain partition shows a continuous decreasing trend, then the partition is determined to have entered a stable state of sedimentary structure.

[0041] If all dynamic functional zones show a continuous decreasing trend within the current time period, it is determined that the entire electroplated part has entered the global deposition stabilization stage.

[0042] Optionally, the calculation of an overall electroplating consistency metric to evaluate coating uniformity based on the steady-state data of each partition and the consistency of its internal units includes:

[0043] Read the dynamic functional zoning results formed in the final stage and their historical evolution data;

[0044] Assess the consistency of behavioral changes among units within each partition during the final stage;

[0045] Compare the differences in the cumulative intensity of overall change among different partitions in the final stage;

[0046] By combining the consistency index within a given zone with the consistency index between zones, an overall electroplating consistency metric is calculated. The smaller this value, the more uniform and consistent the deposition results on the surface of the electroplated part.

[0047] A system for implementing the method includes:

[0048] The electroplating field response acquisition and deposition behavior unit construction module samples the electroplatable area on the surface of automotive plastic electroplating parts in the initial stage of electroplating. By analyzing the differences in electrical response, it constructs the smallest granular deposition behavior unit, providing the basic structure for all subsequent time-series analysis and zonal control.

[0049] The deposition behavior time structure segment identification module automatically identifies the time nodes where the deposition behavior undergoes phased changes during the continuous electroplating process, and constructs time structure segments that reflect the actual deposition evolution accordingly.

[0050] The sedimentation behavior time structure mapping construction module provides a structured description of the changing characteristics of sedimentation behavior units within each time structure segment, forming a time structure mapping that can be used for comparison and analysis.

[0051] The dynamic functional partitioning construction and deposition consistency determination module identifies a set of units with consistent deposition behavior within the same time structural segment and dynamically constructs electroplating functional partitions.

[0052] The electroplating structure evolution control and result consistency verification module is used to monitor and regulate the deposition evolution state of dynamic functional zones, and to verify the overall consistency after electroplating is completed.

[0053] The present invention has the following beneficial effects:

[0054] 1. By setting multiple candidate deposition behavior points on the electroplatable surface of plastic electroplating parts, and based on the changes in the electrical response of these candidate points under the action of the electroplating field, the deposition behavior at different surface locations is analyzed for discriminability, thereby achieving automatic construction of deposition behavior units. Unlike existing technologies that rely on geometric division or manual experience-based partitioning, this invention uses the actual effect of the electroplating field as the partitioning basis, ensuring that the formed deposition behavior units can truly reflect the field differences and deposition characteristics of different surface locations during the electroplating process. Simultaneously, by introducing the cumulative amount of natural fluctuations as the upper limit of the benchmark for judging the differences of candidate points, misjudgment problems caused by local random disturbances are avoided, making the partitioning of deposition behavior units more stable and reliable. This method effectively solves the problem of accurately identifying deposition differences in complex curved surfaces, edge regions, and locations of structural abrupt changes in traditional electroplating control, laying a realistic and objective foundation for subsequent refined control. Furthermore, this invention analyzes the temporal evolution characteristics of the changes in the electroplating field effect of candidate deposition behavior points, automatically identifying the turning points of deposition behavior during the electroplating process, and using this to divide naturally formed time structure segments. This method breaks through the traditional understanding of electroplating as a simple, continuous, and uniform time process, allowing the electroplating process to be divided into several deposition behavior stages with clear physical significance. By simultaneously introducing directional reversal judgment and historical evolution boundary breakthrough judgment mechanisms, it can not only identify the switching of deposition behavior direction but also identify key nodes of abnormal amplification of deposition behavior intensity, thereby significantly improving the accuracy and completeness of time structure segmentation. This technique eliminates the need for subsequent analysis to rely on fixed time windows or empirical segmentation, greatly reducing the difficulty of process adaptation between different batches and different workpieces.

[0055] 2. Based on obtaining deposition behavior units and time structure segments, this invention constructs a deposition behavior time structure mapping composed of change continuity, change rhythm, and change stability, and determines the consistency relationship between different deposition behavior units by ranking multi-dimensional structural differences. This method judges based on the relative structural relationship between deposition behavior units within the same time structure segment, fundamentally avoiding the problem of poor adaptability of traditional threshold methods under different working conditions. By constructing consistency relationships and introducing transitivity rules, dynamic functional partitioning can be automatically formed, allowing the partitioning results of the electroplated part surface to evolve naturally with the electroplating process. This technology significantly improves the objectivity and stability of the partitioning results, effectively avoiding the problem of failure of manual or static partitioning in complex electroplating processes.

[0056] 3. This invention, based on the temporal evolution characteristics of dynamic functional partitions, continuously monitors the structural change trends of the partitions. When a sustained amplification of structural changes is detected, it distinguishes between two different operating conditions: global deposition rhythm imbalance and local deposition structure shift, thereby adopting differentiated electroplating process adjustment strategies. Unlike existing technologies that only compensate for a single region, this invention achieves overall suppression of the evolution trend of deposition behavior by adjusting the remaining duration of the electroplating stage and the rhythm of power output changes, avoiding new structural imbalances caused by local compensation. Simultaneously, it determines whether a partition has entered a stable state by using the structural change attenuation sequence, ensuring that the determination of electroplating completion is based on whether the deposition behavior is truly stable. This effectively prevents overplating, local accumulation, and ineffective energy consumption, improving the overall stability and consistency of the electroplating process.

[0057] 4. After the electroplating process is completed, this invention verifies the consistency of the electroplating results based on the final dynamic functional zoning structure and the stability evolution of each zoning across multiple time segments, and further identifies potential defect risk areas. By simultaneously constructing consistency indices within zoning areas and consistency indices between zoning areas, it is possible to evaluate the overall deposition behavior of the electroplated parts at the structural level, rather than relying solely on post-processing methods such as thickness detection or visual inspection. This technology enables the early identification of hidden local anomalies during production, providing a clear basis for subsequent quality sampling, rework, or process optimization, significantly improving product consistency and batch stability, reducing rework and scrap rates, and demonstrating outstanding engineering application value. Attached Figure Description

[0058] Figure 1 This is a schematic diagram of the process of the present invention.

[0059] Figure 2 This is a schematic diagram of the system structure of the present invention. Detailed Implementation

[0060] 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, and 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.

[0061] Example 1, see Figures 1 to 2 A method for controlling electroplating on the surface of automotive plastic electroplated parts, comprising:

[0062] Monitoring points are set up on the surface of the workpiece to collect electrical data. By calculating and analyzing the changes in the electroplating field at each point, and comparing the cumulative difference in changes with the natural fluctuations of the system, monitoring points with indistinguishable behavior are merged into deposition behavior units. Then, the moment when the change in the unit changes directionally reverses or changes significantly, is identified as the turning point of deposition behavior, so as to divide the time structure segment.

[0063] Within each time structure segment, the variation difference, variation rhythm component, and variation stability component of each sedimentary behavior unit are calculated to form a time structure mapping vector;

[0064] By comparing the differences in the three types of components and their ordering positions between any two units, the consistency of their depositional behavior is determined, and units with consistency are aggregated into dynamic functional partitions.

[0065] Calculate the cumulative intensity of overall change in each partition within the time structure segment. By comparing the intensity change rate between adjacent stages, determine whether the partition has entered a state of deposition behavior imbalance, and distinguish between global rhythm imbalance and local structural shift. Based on this, dynamically adjust the electroplating process parameters.

[0066] By analyzing the decay sequence formed by the change rate of the partition in the continuous stage, it can be determined whether the partition or the workpiece as a whole has entered a stable deposition state.

[0067] Based on the steady-state data of each partition and the consistency of its internal units, an overall electroplating consistency metric is calculated to assess the coating uniformity.

[0068] The process involves setting up monitoring points on the workpiece surface to collect electrical data. By calculating and analyzing the changes in the electroplating field at each point, and comparing the cumulative differences in these changes with the natural fluctuations of the system, monitoring points with indistinguishable behavior are grouped into deposition behavior units. The moments when the changes within a unit undergo directional reversal or significant abrupt change are identified as inflection points in the deposition behavior, thus dividing the time structure into segments, including:

[0069] Multiple points were selected on the surface of the electroplated part to collect local electrical response data during the initial electroplating stabilization stage;

[0070] By calculating the variation range of electroplating effect at each point and comparing the cumulative behavioral difference between any two points with the upper limit of the system's natural fluctuation, it can be determined whether multiple points behave equivalently under the action of the electroplating field.

[0071] Points deemed to have equivalent behavior are grouped into a single depositional behavior unit;

[0072] Inflection points in depositional behavior are identified by monitoring trend reversals or significant abrupt changes in the amount of change within each unit. The time interval between adjacent inflection points is used as an independent time structure segment, with each segment corresponding to a natural stage of depositional behavior.

[0073] The process involves setting up monitoring points on the workpiece surface to collect electrical data. By calculating and analyzing the changes in the electroplating field at each point, and comparing the cumulative differences in these changes with the natural fluctuations of the system, monitoring points with indistinguishable behavior are grouped into deposition behavior units. The moment when the change in the amount of change within a unit undergoes a directional reversal or a significant abrupt change is then identified as a turning point in the deposition behavior, thus dividing the time structure into segments. Specifically, this also includes:

[0074] By calculating the trend of the change in the amount of action and determining that its directional sign reverses at continuous sampling times, the directional inflection point can be determined.

[0075] By calculating the degree of deviation of the current change in effect relative to the historical average value in the most recent time structure period, if the degree of deviation exceeds the historical maximum deviation in that time period, it is determined that a sudden change in magnitude has occurred, and that moment is marked as a turning point.

[0076] Within each time structure segment, the variation difference, variation rhythm component, and variation stability component of each sedimentary behavior unit are calculated to form a time structure mapping vector, including:

[0077] For each sedimentary behavior unit within each time structure segment, a unit-level comprehensive variation amplitude sequence is first generated based on data from all points within it;

[0078] Calculate the difference in change of the sequence at adjacent time points, and count the number of changes within the time period as the rhythm component, while accumulating the sum of all differences as the stability component;

[0079] The variation difference sequence, rhythm component, and stability component are combined to form a feature vector that can map the temporal structure of the depositional behavior of the unit in the current time period.

[0080] The process of determining the consistency of depositional behavior by comparing the differences and ordering positions of the three types of components between any two units, and aggregating units with consistency into dynamic functional partitions, includes:

[0081] By calculating the degree of difference between any two units in three dimensions: continuity of change, rhythm of change, and stability of change;

[0082] Sort the difference values ​​of all these unit pairs separately within their respective dimensions;

[0083] If the differences between two units are not at the maximum end of the sequence in all three dimensions, i.e., the differences are not the most significant, then it is determined that the two units have consistent depositional behavior in the current time period.

[0084] Based on this, all units that have consistent behavior are merged to form a dynamic functional partition.

[0085] The calculation of the cumulative intensity of overall change in each partition within a time structure segment, by comparing the intensity change rate between adjacent stages, determines whether a partition has entered a state of deposition behavior imbalance, and distinguishes between global rhythm imbalance and local structural shift. Based on this, the electroplating process parameters are dynamically adjusted, including:

[0086] The overall cumulative intensity of change of each dynamic functional partition within a continuous time structure segment is calculated, and the trend of its rate of change is analyzed.

[0087] If the rate of change of a certain partition continues to increase, it is determined that it has entered an unbalanced evolutionary state;

[0088] If multiple partitions exhibit this trend simultaneously, it is diagnosed as a global deposition rhythm imbalance.

[0089] If only a few zones show this, it is diagnosed as a localized shift in sedimentary structure.

[0090] Based on different diagnostic results, the planned remaining time and power output change rate of the current electroplating stage are adaptively adjusted to form a new set of control instructions to correct abnormal states.

[0091] The method of determining whether a partition or the entire workpiece has entered a stable deposition state by analyzing the decay sequence formed by the changes in the rate of change of the partition in continuous stages includes:

[0092] The structural change attenuation of each dynamic functional partition within a continuous time structural segment is calculated, and the evolution trend of its sequence is analyzed.

[0093] If the change attenuation sequence of a certain partition shows a continuous decreasing trend, then the partition is determined to have entered a stable state of sedimentary structure.

[0094] If all dynamic functional zones show a continuous decreasing trend within the current time period, it is determined that the entire electroplated part has entered the global deposition stabilization stage.

[0095] The calculation of an overall electroplating consistency metric to evaluate coating uniformity based on the steady-state data of each partition and the consistency of its internal units includes:

[0096] Read the dynamic functional zoning results formed in the final stage and their historical evolution data;

[0097] Assess the consistency of behavioral changes among units within each partition during the final stage;

[0098] Compare the differences in the cumulative intensity of overall change among different partitions in the final stage;

[0099] By combining the consistency index within a given zone with the consistency index between zones, an overall electroplating consistency metric is calculated. The smaller this value, the more uniform and consistent the deposition results on the surface of the electroplated part.

[0100] Example 2: A system for implementing the electroplating control method on the surface of automotive plastic electroplated parts, comprising:

[0101] The electroplating field response acquisition and deposition behavior unit construction module samples the electroplatable area on the surface of automotive plastic electroplating parts in the initial stage of electroplating. By analyzing the differences in electrical response, it constructs the smallest granular deposition behavior unit, providing the basic structure for all subsequent time-series analysis and zonal control.

[0102] The deposition behavior time structure segment identification module automatically identifies the time nodes where the deposition behavior undergoes phased changes during the continuous electroplating process, and constructs time structure segments that reflect the actual deposition evolution accordingly.

[0103] The sedimentation behavior time structure mapping construction module provides a structured description of the changing characteristics of sedimentation behavior units within each time structure segment, forming a time structure mapping that can be used for comparison and analysis.

[0104] The dynamic functional partitioning construction and deposition consistency determination module identifies a set of units with consistent deposition behavior within the same time structural segment and dynamically constructs electroplating functional partitions.

[0105] The electroplating structure evolution control and result consistency verification module is used to monitor and regulate the deposition evolution state of dynamic functional zones, and to verify the overall consistency after electroplating is completed.

[0106] Example 3: A method for controlling electroplating on the surface of automotive plastic electroplated parts, comprising:

[0107] Monitoring points are set up on the surface of the workpiece to collect electrical data. By calculating and analyzing the changes in the electroplating field at each point, and comparing the cumulative difference in changes with the natural fluctuations of the system, monitoring points with indistinguishable behavior are merged into deposition behavior units. Then, the moment when the change in the unit changes directionally reverses or changes significantly, is identified as the turning point of deposition behavior, so as to divide the time structure segment.

[0108] Within each time structure segment, the variation difference, variation rhythm component, and variation stability component of each sedimentary behavior unit are calculated to form a time structure mapping vector;

[0109] By comparing the differences in the three types of components and their ordering positions between any two units, the consistency of their depositional behavior is determined, and units with consistency are aggregated into dynamic functional partitions.

[0110] Calculate the cumulative intensity of overall change in each partition within the time structure segment. By comparing the intensity change rate between adjacent stages, determine whether the partition has entered a state of deposition behavior imbalance, and distinguish between global rhythm imbalance and local structural shift. Based on this, dynamically adjust the electroplating process parameters.

[0111] By analyzing the decay sequence formed by the change rate of the partition in the continuous stage, it can be determined whether the partition or the workpiece as a whole has entered a stable deposition state.

[0112] Based on the steady-state data of each partition and the consistency of its internal units, an overall electroplating consistency metric is calculated to assess the coating uniformity.

[0113] The process involves setting up monitoring points on the workpiece surface to collect electrical data. By calculating and analyzing the changes in the electroplating field at each point, and comparing the cumulative differences in these changes with the natural fluctuations of the system, monitoring points with indistinguishable behavior are grouped into deposition behavior units. The moments when the changes within a unit undergo directional reversal or significant abrupt change are identified as inflection points in the deposition behavior, thus dividing the time structure into segments, including:

[0114] Define the start time of electroplating as ;

[0115] On the electroplatable surface of automotive plastic electroplating parts, several surface locations are selected as candidate points for deposition behavior. Each candidate point for deposition behavior is defined as... ;

[0116] in, This represents the m-th candidate point for deposition behavior, where m is the candidate point number used to distinguish candidate points at different surface locations.

[0117] In time interval Within, for each candidate site of sedimentary behavior Collect its local electrical response sequence;

[0118] in, This indicates the minimum response observation duration, used to ensure that candidate points have a sufficient length of response data during the stable phase of the electroplating field. This duration is preset by the system.

[0119] The aforementioned local electrical response sequences include: , indicating candidate points The local voltage value at time t; , indicating candidate points The local current value at time t;

[0120] In time interval Inside, for each candidate point Construct the change in electroplating field effect between adjacent sampling times: ;

[0121] in, This indicates that the electroplating field affects the performance of the electroplating field at adjacent sampling times. The range of change in effect, The sampling period of the system is directly provided by the clock module of the electroplating control system and remains constant throughout the electroplating process.

[0122] For any two candidate sites of sedimentary behavior and Construct its time interval Indicators of distinguishability of function within: ;

[0123] in, express and The cumulative difference in behavior under the action of the electroplating field, where q is the candidate point number for deposition behavior different from m;

[0124] For any candidate point of sedimentary behavior Based on the range of its effect Calculate the candidate points for this depositional behavior within the time interval. Cumulative amount of natural fluctuations within: ;

[0125] in, Indicate candidate points In time interval The cumulative amount of natural fluctuations within, Indicate candidate points In time interval The average value of the change within;

[0126] For all candidate points Summarize its cumulative natural fluctuations ;

[0127] Define the system in the time interval The upper limit of natural fluctuations within for: ;

[0128] in, Represents the set of cumulative natural fluctuations The maximum value in;

[0129] like Then determine and They can be distinguished under the action of an electroplating field;

[0130] Otherwise, determine the candidate point. and Indistinguishable under the action of an electroplating field;

[0131] When multiple candidate points for sedimentation behavior correspond to If none of them can be distinguished, then these candidate deposition behavior points are determined to have behavioral equivalence under the action of the electroplating field;

[0132] A candidate point with equivalent sedimentary behavior is defined as a sedimentary behavior unit: ;

[0133] in, This represents the nth sedimentary behavior unit, where n is the sedimentary behavior unit number.

[0134] For each sedimentation behavior unit Based on the candidate points corresponding to its internal sedimentation behavior The time point is marked as a turning point in sedimentation behavior when any of the following conditions are met:

[0135] when Directional reversal or A significant change occurred compared to the previous moment;

[0136] The time interval between the turning points of adjacent sedimentary behaviors is defined as an independent time structure segment: ;

[0137] in, This represents the j-th time segment. This indicates the start time of this time structure segment. Indicates the end time of this time structure segment;

[0138] Each time segment corresponds to a natural deposition behavior stage in the electroplating process.

[0139] The process involves setting up monitoring points on the workpiece surface to collect electrical data. By calculating and analyzing the changes in the electroplating field at each point, and comparing the cumulative differences in these changes with the natural fluctuations of the system, monitoring points with indistinguishable behavior are grouped into deposition behavior units. The moment when the change in the amount of change within a unit undergoes a directional reversal or a significant abrupt change is then identified as a turning point in the deposition behavior, thus dividing the time structure into segments. Specifically, this also includes:

[0140] For any candidate point of sedimentary behavior within a sedimentary behavior unit, based on the data at adjacent sampling times Calculate the trend of change : ;

[0141] Construct a direction sign function based on the changing trend. : ;

[0142] When adjacent sampling times meet the following conditions: ;

[0143] Then, it is determined that a directional reversal occurred at that moment, and that moment is marked as the turning point of the depositional behavior;

[0144] At the current sampling time Previously, the most recent time segment was selected. Candidate time period for turning point;

[0145] Within the candidate time period for inflection points, for any candidate point in the sedimentary behavior unit, calculate its... Average value of time structure segments: ;

[0146] in, Indicates the candidate point within the inflection point candidate time period. The change in the average electroplating field effect within the area, Candidate time period for turning point The number of sampling points within;

[0147] At the current sampling time ,calculate Changes relative to the average electroplating field effect degree of deviation : ;

[0148] During the candidate period of the turning point Within, determine the historical maximum deviation. : ;

[0149] If the current sampling time satisfies If the change at the current sampling time exceeds the candidate time period for the inflection point, then it is determined that the change magnitude at the current sampling time has exceeded the candidate time period for the inflection point. The historical evolution boundary was determined, and the sampling time was marked as the turning point of sedimentary behavior.

[0150] By setting multiple candidate deposition behavior points on the electroplatable surface of plastic electroplating parts and analyzing the differences in the electrical response of these candidate points under the influence of the electroplating field, the deposition behavior at different surface locations is distinguished, thereby achieving automatic construction of deposition behavior units. Unlike existing technologies that rely on geometric division or manual experience-based partitioning, this invention uses the actual effect of the electroplating field as the partitioning basis, ensuring that the formed deposition behavior units truly reflect the differences in the field and deposition characteristics of different surface locations during the electroplating process. Simultaneously, by introducing the cumulative amount of natural fluctuations as the upper limit of the benchmark for judging the differences of candidate points, misjudgment problems caused by local random disturbances are avoided, making the partitioning of deposition behavior units more stable and reliable. This method effectively solves the problem of accurately identifying deposition differences in complex curved surfaces, edge regions, and locations of structural abrupt changes in traditional electroplating control, laying a realistic and objective foundation for subsequent refined control. Furthermore, this invention analyzes the temporal evolution characteristics of the variation amplitude of the electroplating field effect on candidate deposition behavior points to automatically identify the turning points of deposition behavior during the electroplating process and uses this to divide naturally formed time structure segments. This method breaks through the traditional understanding of electroplating as a simple, continuous, and uniform time process, allowing the electroplating process to be divided into several deposition behavior stages with clear physical significance. By simultaneously introducing directional reversal judgment and historical evolution boundary breakthrough judgment mechanisms, it can not only identify the switching of deposition behavior direction but also identify key nodes of abnormal amplification of deposition behavior intensity, thereby significantly improving the accuracy and completeness of time structure segmentation. This technique eliminates the need for subsequent analysis to rely on fixed time windows or empirical segmentation, greatly reducing the difficulty of process adaptation between different batches and different workpieces.

[0151] Within each time structure segment, the variation difference, variation rhythm component, and variation stability component of each sedimentary behavior unit are calculated to form a time structure mapping vector, including:

[0152] Construct a set of response changes: ;

[0153] in, Representing sedimentation behavior units In the time structure segment A set of data on the changes in the magnitude of all internal effects;

[0154] For sedimentary behavior units In the time structure segment Within, construct its unit-level change magnitude sequence. : ;

[0155] Unit-level variation amplitude sequence Calculate the difference in change between adjacent sampling times. : ;

[0156] For the same time structure segment ,statistics The number of non-zero changes is used to construct the rhythm component of change. : ;

[0157] in, This is an indicator function that takes the value 1 when the condition inside the parentheses is true, and 0 otherwise.

[0158] Time structure segment within Accumulate data to construct a stability component of the change. : ;

[0159] Change difference Variation in rhythm components and stability components of change Combine to construct a temporal structure mapping vector of depositional behavior : .

[0160] The process of determining the consistency of depositional behavior by comparing the differences and ordering positions of the three types of components between any two units, and aggregating units with consistency into dynamic functional partitions, includes:

[0161] For the same time structure segment Any two sedimentary behavior units within and Construct a measure of the difference in their changes. : ;

[0162] in, Representing two sedimentary behavior units and In the same time structure segment The difference in the continuity of changes within;

[0163] For the same time structure segment Any two sedimentary behavior units within and Construct a difference measure for the rhythm components of change. : ;

[0164] in, Representing two sedimentary behavior units and In the same time structure segment The degree of difference in the internal rhythmic components;

[0165] For the same time structure segment Any two sedimentary behavior units within and Construct a difference measure for the stability components of change. : ;

[0166] in, Representing two sedimentary behavior units and In the same time structure segment Differences in the stability components of internal variation;

[0167] In the same time structure segment Within, for all sedimentary behavior units Construct sorted sequences for the following three types of difference measures respectively:

[0168] Change Continuity Difference Sort Sequence : ;

[0169] Change rhythm difference sorting sequence : ;

[0170] Change stability difference sorting sequence : ;

[0171] Sort indicates sorting by numerical value from smallest to largest;

[0172] For sedimentary behavior units Obtain the sorting position of each of the three types of difference measures in the corresponding sorted sequence: for exist The sorting position in for exist The sorting position in for exist The sorting position in;

[0173] Get the current time structure segment The total number of internal sedimentary behavior units is ;

[0174] like If none of the three difference measures are at the maximum extreme position in their respective ordination sequences, then the depositional behavior unit is determined to be... and In the time structure segment It exhibits consistent depositional behavior;

[0175] Otherwise, the depositional behaviors of the two are determined to be inconsistent within this timeframe.

[0176] The three types of difference measures are specifically as follows: , and ;

[0177] In the same time structure segment Within, a set of consistency relationships is constructed among sedimentation behavior units. : ;

[0178] If the depositional behavior unit and It exhibits consistent depositional behavior, and and If the sedimentary behavior is consistent, then it is determined that... and The depositional behavior is also consistent within this timeframe.

[0179] In the time structure segment Within, a set of consistency relationships that all exhibit consistent depositional behavior. It is divided into a dynamic functional partition, defined as ;

[0180] in, This indicates that the k-th dynamic functional partition is in the time structure segment. The composition results within.

[0181] This invention, based on obtaining deposition behavior units and time structure segments, constructs a deposition behavior time structure mapping composed of change continuity, change rhythm, and change stability, and determines the consistency relationship between different deposition behavior units by ranking multi-dimensional structural differences. This method judges based on the relative structural relationship between deposition behavior units within the same time structure segment, fundamentally avoiding the problem of poor adaptability of traditional threshold methods under different working conditions. By constructing consistency relationships and introducing transitivity rules, dynamic functional partitioning can be automatically formed, allowing the partitioning results of the electroplated part surface to evolve naturally with the electroplating process. This technology significantly improves the objectivity and stability of the partitioning results, effectively avoiding the failure of manual or static partitioning in complex electroplating processes.

[0182] The calculation of the cumulative intensity of overall change in each partition within a time structure segment, by comparing the intensity change rate between adjacent stages, determines whether a partition has entered a state of deposition behavior imbalance, and distinguishes between global rhythm imbalance and local structural shift. Based on this, the electroplating process parameters are dynamically adjusted, including:

[0183] For any dynamic functional partition Read the depositional behavior time structure mapping vectors corresponding to all depositional behavior units within it. : ;

[0184] And construct a partition-level structure to summarize the volume: ;

[0185] in, Indicates dynamic functional partitioning In the time structure segment The cumulative intensity of overall changes within;

[0186] For the same dynamic functional partition By comparing the total structural values ​​within adjacent time periods, a partitioned structural change rate is constructed. : ;

[0187] If a certain dynamic functional partition occurs within multiple consecutive time structure segments... corresponding When the trend of continuous increase is observed, it is determined that the dynamic functional zone has entered a state of unbalanced evolution of sedimentary behavior;

[0188] If multiple dynamic functional zones simultaneously show a continuous increasing trend, it is determined that the global deposition rhythm is unbalanced.

[0189] Otherwise, it is determined to be a local depositional structure shift;

[0190] Obtain the process status parameters for the current stage, specifically including:

[0191] Execution time in the current stage Total duration of the planning phase Current electroplating power supply output change rate ;

[0192] When a global deposition rhythm imbalance is identified, the remaining duration of the current stage is redefined. : ;

[0193] Adjust the power output change rate to : ;

[0194] When a local depositional structure shift is identified, the remaining duration of the current stage is adjusted to... : ;

[0195] Keep the rate of change of power supply output constant, i.e. ;

[0196] The adjusted parameters are combined to form an electroplating control instruction set. : ;

[0197] Executing the electroplating control instruction set Then, proceed to the next time structure segment. .

[0198] If the next time structure segment of Less than If so, it is determined that the changes in the partition structure have been suppressed;

[0199] The changes in the zonal structure include global sedimentation rhythm imbalance and local sedimentation structure shift.

[0200] The method of determining whether a partition or the entire workpiece has entered a stable deposition state by analyzing the decay sequence formed by the changes in the rate of change of the partition in continuous stages includes:

[0201] For the same dynamic functional partition Compare the rate of change of its partition structure in two consecutive time segments. Construct structural change attenuation amount : ;

[0202] For each dynamic functional partition Over several consecutive time periods, a decay sequence of structural changes is constructed. : ;

[0203] Where r represents the number of time structure segments traced backward;

[0204] If dynamic functional partitioning Structural change attenuation sequence If the evolutionary trend shows a continuous decrease, it is determined that the dynamic functional zone has entered a stable state of sedimentary structure.

[0205] If in the current time structure segment When all dynamic functional zones within the plated part show a continuous decreasing trend, it is determined that the plated part as a whole has entered the global deposition stabilization stage.

[0206] This invention, based on the temporal evolution characteristics of dynamic functional partitions, continuously monitors the structural change trends of these partitions. When a sustained increase in structural change is detected, it distinguishes between two different operating conditions: global deposition rhythm imbalance and local deposition structure shift, thereby adopting differentiated electroplating process adjustment strategies. Unlike existing technologies that only compensate for a single region, this invention achieves overall suppression of the evolution trend of deposition behavior by adjusting the remaining duration of the electroplating stage and the rhythm of power output changes, avoiding new structural imbalances caused by local compensation. Simultaneously, it determines whether a partition has entered a stable state by using the structural change decay sequence, ensuring that the determination of electroplating completion is based on whether the deposition behavior is truly stable. This effectively prevents overplating, local accumulation, and ineffective energy consumption, improving the overall stability and consistency of the electroplating process.

[0207] The calculation of an overall electroplating consistency metric to evaluate coating uniformity based on the steady-state data of each partition and the consistency of its internal units includes:

[0208] Read the final dynamic function partition set : ;

[0209] in, Indicates the last time structure segment The k-th dynamic functional partition within, each partition containing several depositional behavior units. ;

[0210] Read each dynamic function partition The structural change decay sequence within the last r time segments : ;

[0211] in, This indicates that the k-th dynamic functional partition is in the last time structure segment. The amount of structural change attenuation within the body;

[0212] For each dynamic functional partition Analyze the temporal structure mapping vector of its internal depositional behavior units in the final temporal structure segment. : ;

[0213] in, These are the differences in change during the final time structure segment. Variation in rhythm components and stability components of change ;

[0214] Build consistency metrics within partitions : ;

[0215] in, The smaller the value, the more consistent the sedimentary behavior within the partition. Indicates the number of sedimentary behavior units within a dynamic functional zone;

[0216] For every two dynamic function partitions and Calculate the consistency index of intervals : ;

[0217] Based on the consistency index within the partition Consistency index of intervals To form an overall electroplating consistency measurement : ;

[0218] in, This represents the total number of dynamic function partitions. The smaller the value, the higher the consistency of the overall electroplating result.

[0219] This invention verifies the consistency of electroplating results after the electroplating process is completed, based on the final dynamic functional zoning structure and the stability evolution of each zoning across multiple time segments, and further identifies potential defect risk areas. By simultaneously constructing consistency indices within zoning areas and between zoning areas, it can evaluate the overall deposition behavior of electroplated parts at the structural level, rather than relying solely on post-processing methods such as thickness detection or visual inspection. This technology enables the early identification of hidden local anomalies during production, providing a clear basis for subsequent quality inspection, rework, or process optimization, significantly improving product consistency and batch stability, reducing rework and scrap rates, and demonstrating outstanding engineering application value.

[0220] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus.

[0221] The above description is only a preferred embodiment of the present invention. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the technical principles of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. A method for controlling electroplating on the surface of automotive plastic electroplated parts, characterized in that, include: Monitoring points are set up on the surface of the workpiece to collect electrical data. By calculating and analyzing the changes in the electroplating field at each point, and comparing the cumulative difference in changes with the natural fluctuations of the system, monitoring points with indistinguishable behavior are merged into deposition behavior units. Then, the moment when the change in the unit changes directionally reverses or changes significantly, is identified as the turning point of deposition behavior, so as to divide the time structure segment. Within each time structure segment, the variation difference, variation rhythm component, and variation stability component of each sedimentary behavior unit are calculated to form a time structure mapping vector; By comparing the differences in the three types of components and their ordering positions between any two units, the consistency of their depositional behavior is determined, and units with consistency are aggregated into dynamic functional partitions. Calculate the cumulative intensity of overall change in each partition within the time structure segment. By comparing the intensity change rate between adjacent stages, determine whether the partition has entered a state of deposition behavior imbalance, and distinguish between global rhythm imbalance and local structural shift. Based on this, dynamically adjust the electroplating process parameters. By analyzing the decay sequence formed by the change rate of the partition in the continuous stage, it can be determined whether the partition or the workpiece as a whole has entered a stable deposition state. Based on the steady-state data of each partition and the consistency of its internal units, an overall electroplating consistency metric is calculated to assess the coating uniformity.

2. The method for controlling electroplating on the surface of automotive plastic electroplated parts according to claim 1, characterized in that, The process involves setting up monitoring points on the workpiece surface to collect electrical data. By calculating and analyzing the changes in the electroplating field at each point, and comparing the cumulative differences in these changes with the natural fluctuations of the system, monitoring points with indistinguishable behavior are grouped into deposition behavior units. The moments when the changes within a unit undergo directional reversal or significant abrupt change are identified as inflection points in the deposition behavior, thus dividing the time structure into segments, including: Multiple points were selected on the surface of the electroplated part to collect local electrical response data during the initial electroplating stabilization stage; By calculating the variation range of electroplating effect at each point and comparing the cumulative behavioral difference between any two points with the upper limit of the system's natural fluctuation, it can be determined whether multiple points behave equivalently under the action of the electroplating field. Points deemed to have equivalent behavior are grouped into a single depositional behavior unit; Inflection points in depositional behavior are identified by monitoring trend reversals or significant abrupt changes in the amount of change within each unit. The time interval between adjacent inflection points is used as an independent time structure segment, with each segment corresponding to a natural stage of depositional behavior.

3. The method for controlling electroplating on the surface of automotive plastic electroplated parts according to claim 2, characterized in that, The process involves setting up monitoring points on the workpiece surface to collect electrical data. By calculating and analyzing the changes in the electroplating field at each point, and comparing the cumulative differences in these changes with the natural fluctuations of the system, monitoring points with indistinguishable behavior are grouped into deposition behavior units. The moment when the change in the amount of change within a unit undergoes a directional reversal or a significant abrupt change is then identified as a turning point in the deposition behavior, thus dividing the time structure into segments. Specifically, this also includes: By calculating the trend of the change in the amount of action and determining that its directional sign reverses at continuous sampling times, the directional inflection point can be determined. By calculating the degree of deviation of the current change in effect relative to the historical average value in the most recent time structure period, if the degree of deviation exceeds the historical maximum deviation in that time period, it is determined that a sudden change in magnitude has occurred, and that moment is marked as a turning point.

4. The method for controlling electroplating on the surface of automotive plastic electroplated parts according to claim 1, characterized in that, Within each time structure segment, the variation difference, variation rhythm component, and variation stability component of each sedimentary behavior unit are calculated to form a time structure mapping vector, including: For each sedimentary behavior unit within each time structure segment, a unit-level comprehensive variation amplitude sequence is first generated based on data from all points within it; Calculate the difference in change of the sequence at adjacent time points, and count the number of changes within the time period as the rhythm component, while accumulating the sum of all differences as the stability component; The variation difference sequence, rhythm component, and stability component are combined to form a feature vector that can map the temporal structure of the depositional behavior of the unit in the current time period.

5. The method for controlling electroplating on the surface of automotive plastic electroplated parts according to claim 4, characterized in that, The process of determining the consistency of depositional behavior by comparing the differences and ordering positions of the three types of components between any two units, and aggregating units with consistency into dynamic functional partitions, includes: By calculating the degree of difference between any two units in three dimensions: continuity of change, rhythm of change, and stability of change; Sort the difference values ​​of all these unit pairs separately within their respective dimensions; If the differences between two units are not at the maximum end of the sequence in all three dimensions, i.e., the differences are not the most significant, then it is determined that the two units have consistent depositional behavior in the current time period. Based on this, all units that have consistent behavior are merged to form a dynamic functional partition.

6. The method for controlling electroplating on the surface of automotive plastic electroplated parts according to claim 5, characterized in that, The calculation of the cumulative intensity of overall change in each partition within a time structure segment, by comparing the intensity change rate between adjacent stages, determines whether a partition has entered a state of deposition behavior imbalance, and distinguishes between global rhythm imbalance and local structural shift. Based on this, the electroplating process parameters are dynamically adjusted, including: The overall cumulative intensity of change of each dynamic functional partition within a continuous time structure segment is calculated, and the trend of its rate of change is analyzed. If the rate of change of a certain partition continues to increase, it is determined that it has entered an unbalanced evolutionary state; If multiple partitions exhibit this trend simultaneously, it is diagnosed as a global deposition rhythm imbalance. If only a few zones show this, it is diagnosed as a localized shift in sedimentary structure. Based on different diagnostic results, the planned remaining time and power output change rate of the current electroplating stage are adaptively adjusted to form a new set of control instructions to correct abnormal states.

7. The method for controlling electroplating on the surface of automotive plastic electroplated parts according to claim 6, characterized in that, The method of determining whether a partition or the entire workpiece has entered a stable deposition state by analyzing the decay sequence formed by the changes in the rate of change of the partition in continuous stages includes: The structural change attenuation of each dynamic functional partition within a continuous time structural segment is calculated, and the evolution trend of its sequence is analyzed. If the change attenuation sequence of a certain partition shows a continuous decreasing trend, then the partition is determined to have entered a stable state of sedimentary structure. If all dynamic functional zones show a continuous decreasing trend within the current time period, it is determined that the entire electroplated part has entered the global deposition stabilization stage.

8. The method for controlling electroplating on the surface of automotive plastic electroplated parts according to claim 7, characterized in that, The calculation of an overall electroplating consistency metric to evaluate coating uniformity based on the steady-state data of each partition and the consistency of its internal units includes: Read the dynamic functional zoning results formed in the final stage and their historical evolution data; Assess the consistency of behavioral changes among units within each partition in the final stage; Compare the differences in the cumulative intensity of overall change among different partitions in the final stage; By combining the consistency index within a given zone with the consistency index between zones, an overall electroplating consistency metric is calculated. The smaller this value, the more uniform and consistent the deposition results on the surface of the electroplated part.

9. A system employing the electroplating control method for automotive plastic electroplated parts according to claim 1, characterized in that, include: The electroplating field response acquisition and deposition behavior unit construction module samples the electroplatable area on the surface of automotive plastic electroplating parts in the initial stage of electroplating. By analyzing the differences in electrical response, it constructs the smallest granular deposition behavior unit, providing the basic structure for all subsequent time-series analysis and zonal control. The deposition behavior time structure segment identification module automatically identifies the time nodes where the deposition behavior undergoes phased changes during the continuous electroplating process, and constructs time structure segments that reflect the actual deposition evolution accordingly. The sedimentation behavior time structure mapping construction module provides a structured description of the changing characteristics of sedimentation behavior units within each time structure segment, forming a time structure mapping that can be used for comparison and analysis. The dynamic functional partitioning construction and deposition consistency determination module identifies a set of units with consistent deposition behavior within the same time structural segment and dynamically constructs electroplating functional partitions. The electroplating structure evolution control and result consistency verification module is used to monitor and regulate the deposition evolution state of dynamic functional zones, and to verify the overall consistency after electroplating is completed.

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