An intelligent online detection method and system for enameled wire paint film continuity

Abstract

The present invention discloses an intelligent online detection method and system for the continuity of paint film of an enameled wire, which relates to the technical field of electrical equipment, and comprises the following steps: scanning the paint film of the enameled wire by an electromagnetic wave transmitter to generate initial evaluation data of the paint film integrity; detecting the capacitance change on the surface of the enameled wire based on the generated initial evaluation data of the paint film integrity, and generating a two-dimensional capacitance imaging diagram of the paint film; detecting the stress distribution of the paint film of the enameled wire according to the two-dimensional capacitance imaging diagram and the initial evaluation data of the paint film integrity, identifying the stress concentration area, and generating a paint film stress distribution diagram; comprehensively processing the stress distribution result, the capacitance imaging diagram and the initial evaluation data of the paint film integrity, identifying the defect area and defect type of the enameled wire paint film, and generating a paint film detection report; the present invention can identify the defect area more comprehensively and precisely by projecting multi-source data into the same coordinate system and comprehensively analyzing the stress, capacitance and electromagnetic wave characteristics.

Description

Technical Field

[0001] The invention relates to the technical field of electrical equipment, and in particular to an intelligent online detection method and system for the continuity of an enameled wire paint film. Background Art

[0002] As electronic and electrical equipment have higher quality requirements for enameled wires, paint film detection in the enameled wire production process has become a key link in ensuring product performance and reliability. Traditional paint film detection mainly relies on manual sampling or simple optical detection, which makes it difficult to conduct continuous and comprehensive online detection of the paint film of the enameled wire throughout the production process. In recent years, detection technologies based on electromagnetic waves, capacitance imaging and stress analysis have gradually been applied to enameled wire production, but these technologies are usually independent of each other, making it difficult to achieve multi-dimensional comprehensive analysis of surface and internal defects of the paint film. In addition, existing technologies mainly rely on a single signal source and are easily affected by environmental noise and background interference, resulting in inaccurate detection results, especially in the identification of minor defects such as stress concentration and uneven paint film.

[0003] In the existing technology, the combination of electromagnetic wave scanning and capacitance imaging technology has not been fully developed. In particular, how to comprehensively analyze the preliminary evaluation results of the paint film based on multi-band electromagnetic waves and the detection results of capacitance and stress distribution to achieve high-precision identification of enameled wire paint film defects still poses a great challenge. In addition, after defect identification, most existing technologies can only generate test reports, and it is difficult to achieve automatic feedback adjustment of production line parameters, which in turn affects production efficiency and quality stability. Therefore, how to achieve automatic feedback adjustment based on multi-dimensional detection has become a technical problem that needs to be solved urgently. Summary of the invention

[0004] In view of the above existing problems, the present invention is proposed.

[0005] Therefore, the present invention provides an intelligent online detection method and system for the continuity of enameled wire paint film to solve the problem of how to achieve high-precision identification of enameled wire paint film defects and automatic adjustment of production line parameters through multi-band electromagnetic wave scanning, capacitance imaging and stress distribution analysis.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0007] In a first aspect, the present invention provides an intelligent online detection method for the continuity of an enameled wire paint film, which comprises:

[0008] Scan the paint film of the enameled wire through an electromagnetic wave transmitter to generate initial evaluation data of the paint film integrity;

[0009] Based on the generated initial evaluation data of the paint film integrity, detecting the capacitance change on the surface of the enameled wire and generating a two-dimensional capacitance imaging map of the paint film;

[0010] Based on the two-dimensional capacitance imaging image and the initial evaluation data of the paint film integrity, the stress distribution of the enameled wire paint film is detected, the stress concentration area is identified, and the paint film stress distribution map is generated;

[0011] Comprehensively process stress distribution results, capacitance imaging images and initial evaluation data of paint film integrity to identify defect areas and defect types of enameled wire paint films and generate paint film inspection reports;

[0012] According to the paint film test report, the coating thickness, curing temperature and production speed of the production line are automatically adjusted to correct the unevenness and stress concentration of the paint film.

[0013] As a preferred solution of the method for intelligent online detection of the continuity of the paint film of the enameled wire of the present invention, wherein: scanning the paint film of the enameled wire by an electromagnetic wave transmitter to generate initial evaluation data of the paint film integrity includes the following steps:

[0014] Set the frequency range of the high frequency band and low frequency band of electromagnetic wave scanning;

[0015] According to the wire diameter and coating thickness of the enameled wire, the production line speed is set and the scanning rate of the electromagnetic wave transmitter is automatically adjusted;

[0016] According to the set low-frequency and high-frequency ranges, the real-time emission of multi-band electromagnetic waves is started to complete the full-range scanning of the paint film surface and interior;

[0017] When electromagnetic waves pass through the paint film, the reflection, refraction and absorption signals are captured in real time through the sensor array;

[0018] Filter the reflected, refracted and absorbed signals to eliminate background noise and environmental interference;

[0019] The characteristic data of the change of reflected wave intensity, refraction angle and absorption rate are extracted by feature extraction algorithm;

[0020] Conduct preliminary defect analysis based on the extracted characteristic data of reflected wave intensity, refraction angle and absorptivity changes;

[0021] Based on the signal processing and preliminary analysis results, initial assessment data of paint film integrity is generated.

[0022] As a preferred solution of the method for intelligent online detection of the continuity of the paint film of the enameled wire of the present invention, the method comprises the following steps: based on the generated initial evaluation data of the paint film integrity, detecting the capacitance change on the surface of the enameled wire and generating a two-dimensional capacitance imaging map of the paint film,

[0023] Starting the capacitive imaging device, calibrating the capacitive sensor array, and setting a reference capacitance value;

[0024] The capacitance sensor array scans the surface of each enameled wire passing through and captures the capacitance value in real time;

[0025] Compare the captured capacitance value with the reference capacitance value. When the detected capacitance value deviates significantly from the reference value, the time and space position of the defect point is immediately marked.

[0026] The spatial position obtained by each capacitance change is mapped to the corresponding pixel point on the image, and reconstructed into a two-dimensional capacitance imaging image according to the spatial coordinates;

[0027] Mark the preliminary defect analysis results in the preliminary evaluation data of the electromagnetic wave scanning as abnormal areas, find the corresponding coordinate areas in the capacitance imaging map, and extract the capacitance change value of the corresponding area;

[0028] Analyze the capacitance variation trend in the capacitance imaging map and compare it with the capacitance fluctuations in other areas;

[0029] When the capacitance change in the capacitance imaging diagram is significant and consistent with the electromagnetic wave scanning result, the area will be confirmed as a defective area;

[0030] When the capacitance change in the capacitance imaging image is not significant, the area will be marked as an area for further confirmation;

[0031] Through the capacitance imaging diagram, the characteristics of capacitance changes are partitioned and classified;

[0032] The capacitance change characteristics of the classified two-dimensional capacitance imaging image are recorded in the database.

[0033] As a preferred solution of the method for intelligent online detection of the continuity of the enameled wire paint film of the present invention, the method comprises the following steps: detecting the stress distribution of the enameled wire paint film according to the two-dimensional capacitance imaging diagram and the initial evaluation data of the paint film integrity, identifying the stress concentration area, and generating the paint film stress distribution diagram.

[0034] Extracting the areas with possible defects marked in the capacitance imaging map and electromagnetic wave scanning data from the database;

[0035] Starting the fiber grating sensor array and setting the reflection wavelength range of the fiber grating sensor;

[0036] When the enameled wire passes through the fiber grating sensor array, the stress distribution changes of the paint film are captured in real time;

[0037] By analyzing the stress distribution changes of the paint film captured in real time by the fiber grating sensor, the stress concentration area on the paint film surface is identified;

[0038] Obtain stress data at each position of the stress concentration area on the surface of the enameled wire, record the position coordinates, and measure the stress value at the position;

[0039] Mapping the position coordinates to the pixel coordinates of the image, and converting the stress values ​​into color values ​​to form a color image of the stress distribution;

[0040] A two-dimensional stress distribution map is generated based on the stress value and coordinates of each sensor, the collected stress data is converted into image pixels, and each pixel is colored by color mapping.

[0041] As a preferred solution of the method for intelligent online detection of the continuity of the enameled wire paint film of the present invention, the stress distribution results, the capacitance imaging diagram and the initial evaluation data of the paint film integrity are comprehensively processed to identify the defective area and defect type of the enameled wire paint film, and generate a paint film detection report, including the following steps:

[0042] Project the stress distribution results, capacitance imaging diagrams and initial evaluation data of the paint film integrity into the same coordinate system of the enameled wire;

[0043] Extracting abnormal stress concentration areas from stress distribution results obtained by fiber Bragg grating sensors;

[0044] Extracting the region with abnormal local capacitance change from the data of the capacitance imaging map;

[0045] Extracting areas with abnormal internal structures from initial evaluation data of paint film integrity from electromagnetic wave scanning;

[0046] Compare the extracted data of the abnormal area to identify the consistency of data from different data sources in the same area;

[0047] According to the recognition results, the defect area is classified into types;

[0048] Comprehensively analyze the stress, capacitance and electromagnetic wave characteristics of the defect area to evaluate the severity of each defect;

[0049] Generate a paint film inspection report based on the defect area classification and severity.

[0050] As a preferred solution of the method for intelligent online detection of the continuity of the paint film of the enameled wire of the present invention, the coating thickness, curing temperature and production speed of the production line are automatically adjusted according to the paint film detection report to correct the unevenness and stress concentration of the paint film, including the following steps:

[0051] According to the paint film inspection report, the feedback mechanism is automatically triggered to issue adjustment instructions to the production line;

[0052] For minor paint film unevenness and stress concentration problems, the parameters are automatically adjusted according to the defect type;

[0053] The coating thickness of the coating machine is dynamically adjusted based on the uneven thickness of the paint film detected in real time;

[0054] Reduce the formation of stress concentration areas by reducing production speed;

[0055] Automatically adjust the temperature of the curing oven when stress concentration problems are mainly caused by uneven film curing;

[0056] For serious defects detected, the integrated control module issues an immediate production suspension instruction and marks the enameled wire in the defective area as unqualified;

[0057] Control the automated robotic arms and conveyor belts to remove unqualified enameled wire products and notify staff through alarms;

[0058] According to the defect analysis, the production parameters are automatically adjusted and the production line is restarted after the adjustment is confirmed to be completed.

[0059] In a second aspect, the present invention provides an intelligent online detection system for the continuity of enameled wire paint film, comprising:

[0060] The electromagnetic wave scanning module scans the paint film of the enameled wire through an electromagnetic wave transmitter to generate initial evaluation data of the paint film integrity;

[0061] A capacitance detection module detects capacitance changes on the surface of the enameled wire based on the generated initial evaluation data of the paint film integrity and generates a two-dimensional capacitance imaging map of the paint film;

[0062] The stress analysis module detects the stress distribution of the enameled wire paint film, identifies the stress concentration area, and generates a paint film stress distribution map based on the two-dimensional capacitance imaging map and the initial evaluation data of the paint film integrity;

[0063] The defect recognition module comprehensively processes the stress distribution results, capacitance imaging diagrams and initial evaluation data of the paint film integrity to identify the defect areas and defect types of the enameled wire paint film and generate a paint film inspection report;

[0064] The automatic feedback and adjustment module automatically adjusts the coating thickness, curing temperature and production speed of the production line according to the paint film inspection report to correct the unevenness and stress concentration of the paint film.

[0065] In a third aspect, the present invention provides a computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: when the computer program is executed by the processor, any step of the intelligent online detection method for the continuity of the paint film of the enameled wire as described in the first aspect of the present invention is implemented.

[0066] In a fourth aspect, the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein: when the computer program is executed by a processor, any step of the intelligent online detection method for the continuity of the paint film of the enameled wire as described in the first aspect of the present invention is implemented.

[0067] The beneficial effects of the present invention are as follows: a comprehensive and real-time evaluation of the paint film surface and interior is performed through electromagnetic wave scanning technology, characteristic data in reflection, refraction and absorption signals are extracted, and the structural integrity of the paint film is preliminarily analyzed; based on capacitance imaging technology, the capacitance change of the enameled wire surface can be further captured, and a two-dimensional capacitance imaging diagram can be generated to accurately locate paint film defects; by combining stress distribution analysis, the stress concentration area on the paint film surface is identified, and the specific location and type of the defect are further confirmed; multi-source data is projected into the same coordinate system, and stress, capacitance and electromagnetic wave characteristics are comprehensively analyzed, so that defective areas can be identified more comprehensively and precisely; through an automatic feedback mechanism, the coating thickness, curing temperature and production speed of the production line can be adjusted in real time according to the test report, avoiding the limitation of only generating test reports in the traditional way, thereby realizing the intelligence and automation of the production process, and effectively improving the quality control capability and efficiency of the production line. BRIEF DESCRIPTION OF THE DRAWINGS

[0068] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0069] Figure 1 This is a flow chart of the intelligent online detection method for the continuity of the enameled wire paint film in Example 1.

[0070] Figure 2 Schematic diagram of the intelligent online detection system for the continuity of the enameled wire paint film in Example 1. DETAILED DESCRIPTION

[0071] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the accompanying drawings.

[0072] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0073] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive with other embodiments.

[0074] Example 1, reference Figure 1 and Figure 2 , which is the first embodiment of the present invention, provides an intelligent online detection method for the continuity of the paint film of an enameled wire, comprising the following steps:

[0075] S1. Scan the paint film of the enameled wire through an electromagnetic wave transmitter to generate initial evaluation data of the paint film integrity.

[0076] S1.1. Set the frequency range of the high-frequency band and the low-frequency band of the electromagnetic wave scanning; set the production line speed and automatically adjust the scanning rate of the electromagnetic wave transmitter according to the wire diameter of the enameled wire and the thickness of the paint film; start the real-time transmission of multi-band electromagnetic waves according to the set low-frequency band and high-frequency band frequency range to complete the full-range scanning of the paint film surface and interior; when the electromagnetic wave passes through the paint film, the reflection, refraction and absorption signals are captured in real time through the sensor array.

[0077] Furthermore, reflected signal capture: When electromagnetic waves encounter the paint film interface, they will generate reflected waves, and the sensor array will detect the intensity of the reflected signal in real time. According to the strength of the reflected wave, the uniformity of the paint film thickness can be preliminarily judged. If the reflected wave intensity in a certain area is abnormal, it may mean that the paint film thickness in that area is uneven or there are gaps.

[0078] Refraction signal capture: When electromagnetic waves penetrate the paint film, their propagation direction will be refracted, and the change of the refraction signal can reflect the density difference inside the paint film. The sensor array will capture the angle and intensity changes of the refraction signal. By analyzing these data, the possible interface or stratification inside the paint film can be identified.

[0079] Absorption signal capture: Electromagnetic waves of different frequency bands are absorbed differently in the paint film, and the strength of the absorption signal is closely related to the material properties and thickness of the paint film. The sensor array detects the absorption rate of the paint film to electromagnetic waves of different frequency bands, thereby judging the uniformity of the paint film material and possible defective areas. If the absorption signal in a certain area changes dramatically, it may indicate that the paint film has internal defects or material inconsistencies.

[0080] S1.2. Filter the reflection, refraction and absorption signals to eliminate background noise and environmental interference; extract characteristic data of changes in reflection wave intensity, refraction angle and absorption rate through feature extraction algorithm; conduct preliminary defect analysis based on the extracted characteristic data of changes in reflection wave intensity, refraction angle and absorption rate; generate initial evaluation data of paint film integrity based on signal processing and preliminary analysis results.

[0081] Furthermore, the preliminary analysis of defects means that areas with abnormal reflected wave intensity will be marked as potential areas of insufficient paint film thickness or fracture; areas with abnormal refraction will be marked as possible areas of paint film delamination or uneven material density; and areas with obvious changes in absorption rate will be marked as possible material inconsistency or internal void areas.

[0082] The initial film integrity assessment data includes the coordinates of the potential defect area, the defect type (such as insufficient thickness, delamination, uneven density, etc.) and the severity of the defect.

[0083] Specifically, the specific location of each potential defect area is determined through electromagnetic wave signal analysis. The location is represented by three-dimensional coordinates (x, y, z) with millimeter accuracy. For example, the coordinates of a certain area may be (12.5, 23.4, 5.6), indicating the specific location of the defect area in space.

[0084] Insufficient thickness: The thickness of the paint film is less than the preset standard value, affecting the insulation performance of the product.

[0085] Delamination: Delamination within the paint film may result in degradation of electrical properties or weakening of mechanical strength.

[0086] Uneven density: There are local differences in the density of the paint film material, which may cause inconsistent performance.

[0087] Material inconsistency: The paint film material in some areas is different from other parts, which may be caused by uneven material distribution or poor mixing during the coating process.

[0088] Defect severity: The severity is classified into three levels: low, medium and high according to the degree of the defect. Low: The defect has little impact on the overall performance of the paint film and may not need to be repaired immediately, but it should be monitored. Medium: The defect may have a certain impact on the function of the paint film. Further testing or repair is recommended. High: The defect has a significant impact on the function of the paint film and may cause product failure. Immediate measures should be taken to repair or replace it.

[0089] A complete description of each defect area will include the coordinates of the area, the specific type of defect, and the severity. For example:

[0090] At coordinates (12.5, 23.4, 5.6), insufficient thickness of the paint film was detected, with a medium severity.

[0091] At coordinates (15.7, 26.8, 5.9), delamination of the paint film was found with a high severity.

[0092] At coordinates (18.2, 30.1, 6.3), the density of the paint film is uneven and the severity is low.

[0093] S2. Based on the generated initial evaluation data of the paint film integrity, the capacitance change on the surface of the enameled wire is detected, and a two-dimensional capacitance imaging map of the paint film is generated.

[0094] S2.1. Start the capacitance imaging device, calibrate the capacitance sensor array, and set a reference capacitance value; the capacitance sensor array scans the surface of each enameled wire passing through, and captures the capacitance value in real time.

[0095] Furthermore, the capacitive sensor array senses the physical properties of the paint film by measuring the capacitance between the sensor and the paint film. The change in capacitance will reflect the following information of the paint film:

[0096] Paint film thickness: If the paint film thickness changes, the capacitance value sensed by the capacitive sensor will also change. Surface flatness: When the paint film surface is uneven or rough, the capacitance signal will fluctuate. Pinholes, cracks and breaks: These defects can cause significant changes in local capacitance values, usually manifested as a sudden increase or decrease in capacitance value.

[0097] S2.2. Compare the captured capacitance value with the reference capacitance value. When the detected capacitance value deviates significantly from the reference value, immediately mark the time and spatial position of the defect point; map the spatial position obtained by each capacitance change to the corresponding pixel point on the image, and reconstruct it into a two-dimensional capacitance imaging image according to the spatial coordinates.

[0098] Furthermore, the process of generating a two-dimensional capacitance imaging image is to reconstruct the capacitance signal data into an image according to the spatial coordinates. The specific operation includes the following steps:

[0099] Data space reconstruction: Map each capacitance data point (C(x,y)) to the corresponding pixel on the image. Each pixel represents the capacitance value of a certain area on the surface of the enameled wire. These capacitance data are obtained by scanning the capacitance sensor array along a linear or grid path, so the capacitance value of each point corresponds to a specific position (x,y) of the enameled wire.

[0100] Color mapping: Uses color changes to indicate fluctuations in capacitance. Generally, darker colors indicate larger changes in capacitance, while lighter or no changes indicate capacitance values ​​close to a baseline. Color mapping uses a linear or nonlinear method to convert the change in capacitance, i.e., the difference between the capacitance value and the baseline value, into a color. This allows for intuitive identification of areas on the paint film surface where capacitance fluctuations are large.

[0101] Determination of image resolution: The resolution of the image depends on the scanning step size and the density of the capacitive sensors. The smaller the step size and the denser the arrangement of the sensors, the higher the image resolution. Higher resolution can capture more subtle defects, such as pinholes, small cracks, etc., while lower resolution is suitable for detecting large-scale defects, such as surface unevenness or thickness variations.

[0102] S2.3. Mark the preliminary defect analysis results in the preliminary evaluation data of the electromagnetic wave scanning as abnormal areas, find the corresponding coordinate area in the capacitance imaging image, and extract the capacitance change value of the corresponding area; analyze the capacitance change trend in the capacitance imaging image and compare it with the capacitance fluctuations in other areas; when the capacitance change in the capacitance imaging image is significant and consistent with the electromagnetic wave scanning result, the area will be confirmed as a defective area; when the capacitance change in the capacitance imaging image is not significant, the area will be marked as an area for further confirmation; partition and classify the characteristics of the capacitance change through the capacitance imaging image; record the capacitance change characteristics of the classified two-dimensional capacitance imaging image in the database.

[0103] Furthermore, changes in capacitance are often directly related to paint film defects. Based on the increase or decrease in capacitance, the type of defect can be preliminarily determined. The characteristics of these defect types and their capacitance changes are as follows:

[0104] Capacitance reduction: This may be due to the increase in the thickness of the paint film, which increases the distance between the capacitive sensor and the paint film, thereby reducing the capacitance value. A decrease in surface smoothness can also lead to a similar situation, because the rough surface reduces the effective sensing area of ​​the capacitive sensor. This decrease in capacitance value usually reflects a problem with the thickness of the paint film or an uneven surface.

[0105] Increased Capacitance: A significant increase in capacitance usually indicates a pinhole, crack, or break in the paint film. These defects cause the sensor to sense air or other low dielectric constant materials, resulting in a sudden increase in capacitance. For example, in the area of ​​a pinhole, the capacitance value will increase rapidly because the capacitive sensor is detecting air (which has a lower dielectric constant).

[0106] Furthermore, further classification of defect types

[0107] Capacitance imaging allows for a more detailed classification of different types of defects. These defects have different capacitance change characteristics, which can be used to distinguish and classify the defects. The following are common defect types and their capacitance change characteristics:

[0108] Capacitance change: A pinhole usually results in a significant increase in the local capacitance value because the capacitive sensor may be sensing air or other low dielectric constant materials.

[0109] Image characteristics: In the capacitance imaging image, pinholes appear as small darker areas, usually concentrated in one or a few pixels. The capacitance of the pinhole changes greatly and has a small range.

[0110] Crack: The capacitance change caused by a crack is usually linearly distributed, and the capacitance value fluctuates significantly along the direction of the crack. Cracks appear as darker linear areas in the capacitance imaging diagram, with longer lengths but smaller widths. Cracks have larger capacitance changes, but the area extends longer.

[0111] Uneven surface: Uneven surfaces cause capacitance values ​​to change slowly and in small increments, because surface roughness changes are usually uniform and not dramatic. Uneven surfaces appear as lighter or gradient areas in the capacitance image. Capacitance changes are small but may cover a larger area.

[0112] Insufficient thickness: Insufficient thickness results in a slight decrease in capacitance because the distance between the sensor and the paint film increases and the sensed capacitance decreases. Areas with insufficient thickness usually appear as lighter areas with a more gradual change in color.

[0113] S3. Based on the two-dimensional capacitance imaging image and the initial evaluation data of the paint film integrity, the stress distribution of the enameled wire paint film is detected, the stress concentration area is identified, and a paint film stress distribution map is generated.

[0114] S3.1. Extract the areas with possible defects marked in the capacitance imaging image and electromagnetic wave scanning data from the database; start the fiber grating sensor array and set the reflection wavelength range of the fiber grating sensor; when the enameled wire passes through the fiber grating sensor array, the stress distribution changes of the paint film are captured in real time; when the stress changes on the surface of the enameled wire, this change will cause physical strain of the fiber grating, thereby changing the reflected wavelength; by analyzing the stress distribution changes of the paint film captured in real time by the fiber grating sensor, the stress concentration areas on the paint film surface are identified; these areas are usually precursors to paint film breakage, cracks or other defects.

[0115] Furthermore, the identification of stress concentration areas:

[0116] Based on historical data and material properties, a stress threshold is set. For example, when the stress exceeds 50MPa, it may indicate that the paint film is at risk of breaking. Areas exceeding this threshold will be marked.

[0117] The stress data of the enameled wire is collected in real time by using fiber grating sensors, and each sensor records the corresponding stress value at a different position (x, y).

[0118] The collected stress values ​​are compared with the set thresholds to identify areas where the stress exceeds the threshold.

[0119] Rules for marking abnormal stress areas:

[0120] Areas exceeding the threshold: If the stress value at a certain location exceeds the set threshold (e.g. 50MPa), the area will be immediately marked as a stress abnormality area.

[0121] Extended analysis of adjacent areas: For areas that exceed the threshold, extended analysis is performed to surrounding adjacent areas. If the stress values ​​of adjacent areas are close to the threshold (for example, between 45-49MPa), these areas are marked as stress abnormal areas for more detailed analysis.

[0122] Record detailed information about the stress anomaly area:

[0123] Coordinate position (x, y): Record the precise two-dimensional coordinates of the stress anomaly area for subsequent analysis and location of stress concentration areas.

[0124] Stress value: Record the stress value of the area and compare it with the stress threshold to clarify the severity of the stress anomaly.

[0125] Stress distribution characteristics: Record the distribution characteristics of the stress abnormality area, such as whether the stress is distributed linearly (indicating the possibility of cracks) or concentrated in a small area (indicating the possibility of pinholes).

[0126] S3.2. Obtain stress data at each position of the stress concentration area on the surface of the enameled wire, record the position coordinates, and measure the stress value at the position; map the position coordinates to the pixel coordinates of the image, and convert the stress value into a color value to form a color image of the stress distribution; generate a two-dimensional stress distribution map based on the stress value and coordinates of each sensor, convert the collected stress data into image pixels, and color each pixel point through color mapping.

[0127] S4. Comprehensively process the stress distribution results, capacitance imaging diagrams and initial evaluation data of the paint film integrity to identify the defective areas and defect types of the enameled wire paint film and generate a paint film inspection report.

[0128] S4.1. Project the stress distribution results, capacitance imaging diagram and paint film integrity initial assessment data into the same coordinate system of the enameled wire; extract the abnormal stress concentration area from the stress distribution results obtained by the fiber grating sensor; extract the area with abnormal local capacitance change from the capacitance imaging diagram data; extract the area with abnormal internal structure from the paint film integrity initial assessment data scanned by electromagnetic waves.

[0129] Furthermore, stress data feature extraction: By calculating the stress gradient, the area with obvious stress concentration phenomenon is identified. The expression is:

[0130] ;

[0131] in, is the gradient vector of stress, is the coordinate position along the horizontal direction on the two-dimensional plane, is the vertical coordinate position on the two-dimensional plane, is the stress value, For stress exist The first-order partial derivative in the direction indicates that the stress is The rate of change in direction, For stress exist The first-order partial derivative in the direction indicates that the stress is rate of change in direction;

[0132] The stress concentration degree of a certain area is quantified by the characteristic scoring function of the stress concentration area. Stress concentration often means that the paint film may crack or break. Therefore, the larger the stress value and the steeper the stress gradient, the higher the score. The expression is:

[0133] ;

[0134] in, It is the characteristic score value of the stress concentration area, which quantifies the stress concentration of a certain location. The higher the score, the more serious the stress concentration in the area, and there may be a higher risk of cracks or breakage. Indicated in coordinates The stress value at the location reflects the local stress of the material at that location. is the average stress value in the entire detection area, indicating the overall stress level of the area. is the maximum stress value in the detection area, indicating the highest stress level observed in the entire area, is the minimum stress value in the detection area, indicating the lowest stress level observed in the entire area.

[0135] Capacitive imaging feature extraction: Extract the area where the local capacitance changes abnormally from the capacitance imaging data. By analyzing the rate of change of the capacitance value, identify the area where the paint film thickness changes or cracks exist. The expression is:

[0136] ;

[0137] in, is the capacitance change, is the coordinate The local capacitance value at It is the capacitance value under ideal conditions, or the average capacitance value in the area, indicating the standard capacitance value when the paint film thickness is uniform and there are no defects;

[0138] The characteristic scoring function of capacitance change is used to quantify the degree of change in capacitance value of a certain area in capacitance imaging. Significant fluctuations in capacitance value usually indicate uneven film thickness or cracks. The expression is:

[0139] ;

[0140] in, is the characteristic score of the capacitance change, is in position The capacitance change at the position indicates the capacitance value at that position. With the ideal capacitance value The difference between It is the maximum capacitance change in the detection area and is used to standardize the capacitance change to ensure that the capacitance scores in different areas are comparable.

[0141] Electromagnetic wave scanning feature extraction: Extract areas with abnormal internal structures from electromagnetic wave scanning data. By analyzing the propagation speed and reflectivity changes of electromagnetic waves in the paint film, internal defects such as bubbles, holes or internal stress concentration areas can be identified.

[0142] The expression for calculating the electromagnetic wave reflection coefficient is:

[0143] ;

[0144] in, is in position The electromagnetic wave reflection coefficient at is the intensity of the electromagnetic wave reflected back at that location, is the intensity of the incident electromagnetic wave;

[0145] The electromagnetic wave reflection characteristic scoring function is used to quantify the electromagnetic wave reflection of a certain area. The area with abnormally large reflection coefficient usually indicates the existence of internal defects, such as bubbles, holes or uneven structure. The expression is:

[0146] ;

[0147] in, is the electromagnetic wave reflection characteristic score, It is the electromagnetic wave reflection coefficient under ideal conditions, or the average reflection coefficient in a region, indicating the standard reflection condition without defects. is the maximum reflectance difference within the detection area and is used to normalize the reflectance variation so that the scores in different areas can be compared with each other.

[0148] S4.2. Compare the data extracted from the abnormal area to identify the consistency of data from different data sources in the same area; classify the defective area according to the identification results; comprehensively analyze the stress, capacitance and electromagnetic wave characteristics of the defective area to evaluate the severity of each defect; generate a paint film inspection report based on the classification and severity of the defective area.

[0149] Furthermore, a consistency scoring function is introduced to evaluate the consistency of different data sources in the same area. The expression is:

[0150]

[0151] in, , and They are the weight coefficients of stress detection, capacitive imaging, and electromagnetic wave scanning, indicating the importance of each detection method in the overall score.

[0152] S5. According to the paint film test report, the coating thickness, curing temperature and production speed of the production line are automatically adjusted to correct the unevenness and stress concentration of the paint film, including the following steps:

[0153] According to the paint film inspection report, the feedback mechanism is automatically triggered to issue adjustment instructions to the production line; for minor paint film unevenness and stress concentration problems, the parameters are automatically adjusted according to the defect type; the spray thickness of the coating machine is dynamically and incrementally adjusted according to the uneven paint film thickness problem detected in real time; the formation of stress concentration areas is reduced by reducing the production speed; when the stress concentration problem is mainly caused by uneven paint film curing, the temperature of the curing furnace is automatically adjusted; for serious defects detected, an instruction to immediately suspend production is issued through the integrated control module, and the enameled wire in the defective area is marked as unqualified; the automated robotic arm and conveyor belt are controlled to remove unqualified enameled wire products, and the staff is notified through an alarm; based on the defect analysis, the production parameters are automatically adjusted, and the production line is restarted after the adjustment is confirmed to be completed.

[0154] The present embodiment also provides an intelligent online detection system for the continuity of the paint film of the enameled wire, comprising: an electromagnetic wave scanning module, which scans the paint film of the enameled wire through an electromagnetic wave transmitter to generate initial evaluation data of the paint film integrity; a capacitance detection module, which detects the capacitance change on the surface of the enameled wire based on the generated initial evaluation data of the paint film integrity, and generates a two-dimensional capacitance imaging map of the paint film; a stress analysis module, which detects the stress distribution of the paint film of the enameled wire according to the two-dimensional capacitance imaging map and the initial evaluation data of the paint film integrity, identifies the stress concentration area, and generates a paint film stress distribution map; a defect recognition module, which comprehensively processes the stress distribution results, the capacitance imaging map and the initial evaluation data of the paint film integrity, identifies the defect area and defect type of the enameled wire paint film, and generates a paint film detection report; an automatic feedback and adjustment module, which automatically adjusts the coating thickness, curing temperature and production speed of the production line according to the paint film detection report, and corrects the unevenness and stress concentration problems of the paint film.

[0155] This embodiment also provides a computer device, which is suitable for the case of an intelligent online detection method for the continuity of the paint film of an enameled wire, comprising: a memory and a processor; the memory is used to store computer executable instructions, and the processor is used to execute computer executable instructions to implement the intelligent online detection method for the continuity of the paint film of an enameled wire as proposed in the above embodiment.

[0156] The computer device may be a terminal, and the computer device includes a processor, a memory, a communication interface, a display screen and an input device connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be achieved through WIFI, an operator network, NFC (near field communication) or other technologies. The display screen of the computer device may be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device may be a touch layer covered on the display screen, or a key, trackball or touchpad provided on the housing of the computer device, or an external keyboard, touchpad or mouse, etc.

[0157] This embodiment also provides a storage medium on which a computer program is stored. When the program is executed by a processor, the method for realizing the intelligent online detection of the continuity of the paint film of the enameled wire proposed in the above embodiment is implemented; the storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (Static Random Access Memory, referred to as SRAM), electrically erasable programmable read-only memory (Electrically Erasable Programmable Read-Only Memory, referred to as EEPROM), erasable programmable read-only memory (Erasable Programmable Read Only Memory, referred to as EPROM), programmable read-only memory (Programmable Red-Only Memory, referred to as PROM), read-only memory (Read-Only Memory, referred to as ROM), magnetic storage, flash memory, magnetic disk or optical disk.

[0158] In summary, the present invention uses electromagnetic wave scanning technology to conduct a comprehensive real-time evaluation of the paint film surface and interior, extracts characteristic data from reflection, refraction and absorption signals, and preliminarily analyzes the structural integrity of the paint film; based on capacitance imaging technology, it can further capture the changes in the surface capacitance of the enameled wire, generate a two-dimensional capacitance imaging diagram, and accurately locate paint film defects; by combining stress distribution analysis, the stress concentration area on the paint film surface is identified, and the specific location and type of the defect is further confirmed; multi-source data is projected into the same coordinate system, and stress, capacitance and electromagnetic wave characteristics are comprehensively analyzed, so that defective areas can be identified more comprehensively and accurately; through an automatic feedback mechanism, the coating thickness, curing temperature and production speed of the production line can be adjusted in real time according to the test report, avoiding the limitation of only generating test reports in the traditional way, thereby realizing the intelligence and automation of the production process, and effectively improving the quality control capability and efficiency of the production line.

[0159] Example 2, referring to Table 1, is the second example of the present invention. To further verify the technical solution of the present invention, experimental simulation data of an intelligent online detection method for the continuity of enameled wire paint film are provided.

[0160] In order to verify the effectiveness of the intelligent online detection method for the continuity of the enameled wire film of the present invention, a comparative experiment was conducted. During the experiment, two groups of enameled wire samples were selected, and the integrity, defect identification, stress distribution, etc. of the paint film were detected using the existing technology and the detection method of the present invention respectively, and the feedback adjustment of the production line parameters was tested.

[0161] In the prior art, a single optical detection or static capacitance detection method is usually used to detect the paint film of the enameled wire. Optical detection determines the surface defects of the paint film by the change in the intensity of the surface reflected light or transmitted light, while static capacitance detection relies on the change in the local capacitance value of the enameled wire surface to identify the uniformity of the paint film thickness. These detection methods have certain limitations, especially the detection effect of internal defects of the paint film is poor, and the stress concentration area cannot be effectively identified. In addition, the detection process of the prior art is mostly offline detection, and it is impossible to monitor and adjust the paint film in the production process in real time.

[0162] In contrast, the present invention adopts a multi-dimensional detection method based on multi-band electromagnetic wave scanning, capacitive imaging and fiber Bragg grating stress detection. First, the frequency ranges of the high-frequency band and low-frequency band of the electromagnetic wave scanning are set to 10 MHz and 100 MHz, respectively. According to the wire diameter of the enameled wire of 0.25 mm and the paint film thickness of 0.02 mm, the running speed of the production line is set to 1.5m / s, and the scanning rate of the electromagnetic wave transmitter is automatically adjusted. Start the multi-band electromagnetic wave transmitter to perform a full-range scan of the surface and interior of the paint film. When the electromagnetic wave passes through the paint film, the reflection, refraction and absorption signals are captured in real time by the sensor array, and the background noise and environmental interference are eliminated after filtering. Through the feature extraction algorithm, the change characteristic data of the reflected wave intensity, refraction angle and absorptivity are extracted, and a preliminary defect analysis is carried out to generate the initial evaluation data of the paint film integrity.

[0163] Next, start the capacitance imaging device, calibrate the capacitance sensor array, and set the baseline capacitance value to 50 pF. The capacitance sensor array scans the surface of the enameled wire, captures the capacitance value in real time, and compares the captured capacitance value with the baseline capacitance value. When the detected capacitance value deviates significantly from the baseline value, the time and spatial position of the defect point are immediately marked. The spatial position of each capacitance change is mapped to the corresponding pixel point on the image to generate a two-dimensional capacitance imaging map.

[0164] Furthermore, the capacitance imaging image and electromagnetic wave scanning data are extracted from the database, and the fiber Bragg grating sensor array is started, and the reflection wavelength range is set to 1550 nm. When the enameled wire passes through the sensor array, the stress distribution changes of the paint film are captured, the stress concentration area is analyzed and identified, and a color image of the stress distribution is generated. These stress data are compared with the results of electromagnetic waves and capacitance imaging, the defective areas are identified and classified, and a paint film inspection report is generated.

[0165] Finally, the test report automatically triggers the feedback mechanism to adjust the coating thickness, curing temperature and production speed of the production line. For minor defects, the spraying thickness and curing temperature are adjusted; for serious defects, an order to suspend production is issued to remove unqualified products.

[0166] The details are shown in Table 1 below:

[0167] Table 1 Comparative data table of the paint film detection of the prior art and the present invention

[0168]

[0169] It can be clearly seen from the table data that the detection method of the present invention is significantly superior to the prior art in multiple key parameters. First, in terms of the change in reflected wave intensity, the reflected wave intensity changes of enameled wire samples 1 and 2 detected by the present invention are -8.5 dB and -8.1 dB respectively, while the changes of samples 1 and 2 of the prior art are -12.3 dB and -11.8 dB. The lower reflected wave intensity change indicates that the present invention can more effectively eliminate background noise and interference during the detection process, thereby obtaining clearer signal characteristics.

[0170] Secondly, the change in refraction angle corresponds to the change in the internal structure of the paint film. The refraction angle changes of the present invention are 0.8 degrees and 0.7 degrees respectively, while the change of the prior art is between 1.2 degrees and 1.4 degrees. This shows that the present invention can more accurately capture the tiny defects inside the paint film, thereby improving the accuracy of defect recognition.

[0171] In terms of the change in absorbance, the test samples of the present invention showed a lower change in absorbance (9.2% and 8.9%), while the samples of the prior art showed a larger change (15.6% and 16.3%). This further shows that the present invention has a significant advantage in the signal processing of electromagnetic wave scanning, and can more effectively eliminate environmental interference, thereby improving the stability of the test results.

[0172] The capacitance change reflects the surface capacitance state of the paint film. The detection results of the present invention show that the capacitance change values ​​are 48.2 pF and 47.9 pF, respectively, which are significantly close to the set reference value of 50 pF, indicating that the thickness and uniformity of the paint film are well controlled. In contrast, the capacitance change of the prior art is larger, which are 52.5 pF and 51.8 pF, respectively, indicating that its detection accuracy is relatively low.

[0173] The number of stress concentration areas directly reflects the stress distribution of the paint film. The present invention has only one stress concentration area, while the samples tested in the prior art have three and four stress concentration areas, respectively, indicating that the present invention has significant advantages in identifying and reducing stress concentration areas.

[0174] Defect recognition rate is a key performance indicator. The defect recognition rate of the present invention is as high as 92% and 94%, while the recognition rate of the prior art is only 72% and 75%. This shows that the present invention can more accurately detect and identify the defect area of ​​the paint film through the comprehensive processing of multi-dimensional signals.

[0175] Finally, in terms of production line adjustment feedback, the automatic adjustment function of the present invention significantly improves the intelligence of the production line. Experimental data show that the present invention can automatically adjust the production speed and coating thickness according to the test results, with a production speed adjustment range of 5% and a coating thickness adjustment range of 1.2 µm and 1.3 µm, which significantly improves the unevenness and stress concentration of the paint film. In the prior art, the production speed and coating thickness are not adjusted according to the test results, resulting in a low degree of automation of the production line.

[0176] In summary, the present invention significantly improves the accuracy of enameled wire paint film defect identification and the automation level of the production line through a comprehensive detection method of multi-band electromagnetic waves, capacitance imaging and stress distribution analysis.

[0177] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. An intelligent online detection method for the continuity of enameled wire paint film, characterized in that: include, Scan the paint film of the enameled wire through an electromagnetic wave transmitter to generate initial evaluation data of the paint film integrity; Based on the generated initial evaluation data of the paint film integrity, detecting the capacitance change on the surface of the enameled wire, and generating a two-dimensional capacitance imaging map of the paint film; Based on the two-dimensional capacitance imaging image and the initial evaluation data of the paint film integrity, the stress distribution of the enameled wire paint film is detected, the stress concentration area is identified, and the paint film stress distribution map is generated; Comprehensively process stress distribution results, capacitance imaging images and initial evaluation data of paint film integrity to identify defect areas and defect types of enameled wire paint films and generate paint film inspection reports; According to the paint film test report, the coating thickness, curing temperature and production speed of the production line are automatically adjusted to correct the unevenness and stress concentration of the paint film.

2. The intelligent online detection method for the continuity of the enameled wire paint film according to claim 1, characterized in that: Scanning the paint film of the enameled wire by an electromagnetic wave transmitter to generate initial evaluation data of the paint film integrity includes the following steps: Set the frequency range of the high frequency band and low frequency band of electromagnetic wave scanning; According to the wire diameter and coating thickness of the enameled wire, the production line speed is set and the scanning rate of the electromagnetic wave transmitter is automatically adjusted; According to the set low-frequency and high-frequency ranges, the real-time emission of multi-band electromagnetic waves is started to complete the full-range scanning of the paint film surface and interior; When electromagnetic waves pass through the paint film, the reflection, refraction and absorption signals are captured in real time through the sensor array; Filter the reflected, refracted and absorbed signals to eliminate background noise and environmental interference; The characteristic data of the change of reflected wave intensity, refraction angle and absorption rate are extracted by feature extraction algorithm; Conduct preliminary defect analysis based on the extracted characteristic data of reflected wave intensity, refraction angle and absorptivity changes; Based on the signal processing and preliminary analysis results, initial assessment data of paint film integrity is generated.

3. The intelligent online detection method for the continuity of the enameled wire paint film according to claim 2, characterized in that: Based on generating the initial evaluation data of the paint film integrity, detecting the capacitance change on the surface of the enameled wire and generating a two-dimensional capacitance imaging map of the paint film includes the following steps: Starting the capacitive imaging device, calibrating the capacitive sensor array, and setting a reference capacitance value; The capacitance sensor array scans the surface of each enameled wire passing through and captures the capacitance value in real time; Compare the captured capacitance value with the reference capacitance value. When the detected capacitance value deviates significantly from the reference value, the time and space position of the defect point is immediately marked. The spatial position obtained by each capacitance change is mapped to the corresponding pixel point on the image, and reconstructed into a two-dimensional capacitance imaging image according to the spatial coordinates; Mark the preliminary defect analysis results in the preliminary evaluation data of the electromagnetic wave scanning as abnormal areas, find the corresponding coordinate areas in the capacitance imaging map, and extract the capacitance change value of the corresponding area; Analyze the capacitance variation trend of the corresponding coordinate area in the capacitance imaging diagram and compare it with the capacitance fluctuations in other areas; When the capacitance of the corresponding coordinate area in the capacitance imaging diagram changes significantly and is consistent with the electromagnetic wave scanning result, the area will be confirmed as a defective area; When the capacitance change of the corresponding coordinate area in the capacitance imaging image is not significant, the area will be marked as an area to be further confirmed; Through the capacitance imaging diagram, the characteristics of capacitance changes are partitioned and classified; The capacitance change characteristics of the classified two-dimensional capacitance imaging image are recorded in the database.

4. The intelligent online detection method for the continuity of the enameled wire paint film according to claim 3, characterized in that: According to the two-dimensional capacitance imaging diagram and the initial evaluation data of the paint film integrity, the stress distribution of the enameled wire paint film is detected, the stress concentration area is identified, and the paint film stress distribution diagram is generated, including the following steps: Extracting the areas with possible defects marked in the capacitance imaging map and electromagnetic wave scanning data from the database; Starting the fiber grating sensor array and setting the reflection wavelength range of the fiber grating sensor; When the enameled wire passes through the fiber grating sensor array, the stress distribution changes of the paint film are captured in real time; By analyzing the stress distribution changes of the paint film captured in real time by the fiber grating sensor, the stress concentration area on the paint film surface is identified; Obtain stress data at each position of the stress concentration area on the surface of the enameled wire, record the position coordinates, and measure the stress value at the position; Mapping the position coordinates to the pixel coordinates of the image, and converting the stress values ​​into color values ​​to form a color image of the stress distribution; A two-dimensional stress distribution map is generated based on the stress value and coordinates of each sensor, the collected stress data is converted into image pixels, and each pixel is colored by color mapping.

5. The intelligent online detection method for the continuity of the enameled wire paint film according to claim 4, characterized in that: The stress distribution results, capacitance imaging diagrams and initial evaluation data of the paint film integrity are processed comprehensively to identify the defect areas and defect types of the enameled wire paint film. The generation of the paint film inspection report includes the following steps: Project the stress distribution results, capacitance imaging diagrams and initial evaluation data of the paint film integrity into the same coordinate system of the enameled wire; Extracting abnormal stress concentration areas from stress distribution results obtained by fiber Bragg grating sensors; Extracting the region with abnormal local capacitance change from the data of the capacitance imaging map; Extracting areas with abnormal internal structures from initial evaluation data of paint film integrity from electromagnetic wave scanning; Compare the extracted data of the abnormal area to identify the consistency of data from different data sources in the same area; According to the recognition results, the defect area is classified into types; Comprehensively analyze the stress, capacitance and electromagnetic wave characteristics of the defect area to evaluate the severity of each defect; Generate a paint film inspection report based on the defect area classification and severity.

6. The intelligent online detection method for the continuity of the enameled wire paint film according to claim 5, characterized in that: According to the paint film test report, the coating thickness, curing temperature and production speed of the production line are automatically adjusted to correct the unevenness and stress concentration of the paint film, including the following steps: According to the paint film inspection report, the feedback mechanism is automatically triggered to issue adjustment instructions to the production line; For minor paint film unevenness and stress concentration problems, the parameters are automatically adjusted according to the defect type; The coating thickness of the coating machine is dynamically adjusted based on the uneven thickness of the paint film detected in real time; Reduce the formation of stress concentration areas by reducing production speed; Automatically adjust the temperature of the curing oven when stress concentration problems are mainly caused by uneven film curing; For serious defects detected, the integrated control module issues an immediate production suspension instruction and marks the enameled wire in the defective area as unqualified; Control the automated robotic arms and conveyor belts to remove unqualified enameled wire products and notify staff through the alarm system; According to the defect analysis, the production parameters are automatically adjusted and the production line is restarted after the adjustment is confirmed to be completed.

7. An intelligent online detection system for the continuity of enameled wire paint film, based on the intelligent online detection method for the continuity of enameled wire paint film according to any one of claims 1 to 6, characterized in that: include, The electromagnetic wave scanning module scans the paint film of the enameled wire through an electromagnetic wave transmitter to generate initial evaluation data of the paint film integrity; A capacitance detection module detects capacitance changes on the surface of the enameled wire based on the generated initial evaluation data of the paint film integrity and generates a two-dimensional capacitance imaging map of the paint film; The stress analysis module detects the stress distribution of the enameled wire paint film, identifies the stress concentration area, and generates a paint film stress distribution map based on the two-dimensional capacitance imaging map and the initial evaluation data of the paint film integrity; The defect recognition module comprehensively processes the stress distribution results, capacitance imaging diagrams and initial evaluation data of the paint film integrity to identify the defect areas and defect types of the enameled wire paint film and generate a paint film inspection report; The automatic feedback and adjustment module automatically adjusts the coating thickness, curing temperature and production speed of the production line according to the paint film inspection report to correct the unevenness and stress concentration of the paint film.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the intelligent online detection method for the continuity of the paint film of the enameled wire described in any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the intelligent online detection method for the continuity of the paint film of the enameled wire described in any one of claims 1 to 6 are implemented.

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