An online real-time UV energy monitoring system for an automated UV coating line
By constructing a composite deposition characteristic quantity and attenuation compensation model, and monitoring UV energy and volatile organic compound concentration in real time, the problem of UV energy monitoring distortion caused by transparent film layer was solved, and the coating quality consistency and production stability were improved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- ZHEJIANG UVLINE MACHINERY CO LTD
- Filing Date
- 2026-03-11
- Publication Date
- 2026-05-26
AI Technical Summary
Existing UV energy online monitoring technology cannot effectively prevent or remove the transparent film formed by the in-situ polymerization of volatile components under UV light, resulting in UV energy monitoring distortion and affecting coating quality consistency and production stability.
By constructing a composite deposition characteristic quantity and attenuation compensation model, the UV energy value and volatile organic compound concentration value are monitored in real time, the window transmission attenuation is accurately compensated, the true UV energy value is corrected, and signal drift and monitoring distortion are avoided.
Accurate monitoring of UV energy ensures consistent coating quality, avoids coating defects, improves production stability and efficiency, and reduces operation and maintenance costs.
Smart Images
Figure CN122084099A_ABST
Abstract
Description
Technical Field
[0001] This invention belongs to the field of UV monitoring technology, specifically an online real-time UV energy monitoring system for an automated UV coating line. Background Technology
[0002] UV curing technology, due to its advantages such as fast curing speed, excellent coating performance, energy saving, and environmental friendliness, has been widely used in automated spraying production lines and has become a core part of the coating process. In the layout of a conventional UV automated spraying line, the UV curing unit is set up next to the spraying station. After the workpiece is sprayed, it quickly enters the UV curing zone to ensure production cycle and coating forming efficiency. However, under this process layout, the coating on the workpiece surface is often not fully leveled, and volatile components such as solvents and reactive diluents in the coating are not completely removed before being exposed to high-intensity UV light.
[0003] High-intensity UV light excites residual paint mist particles and volatile organic components in the air to undergo photochemical reactions, directly polymerizing in situ on the surface of the optical sensor probe of the UV energy monitoring system to form an extremely thin, transparent polymer film. The light transmittance of this film continuously decreases over operating time, and its dense adhesion makes it difficult to detect with the naked eye.
[0004] Existing UV energy online monitoring technologies are mostly designed to protect against conventional pollutants such as dust and water mist, with dust and pollution prevention as the core objective. They generally adopt structures such as air curtains and simple dust covers. These solutions can only remove solid dust and cannot prevent or remove the transparent film layer formed by the in-situ polymerization of volatile components under UV light.
[0005] As the polymer film continues to accumulate, it will significantly attenuate the intensity of the UV light signal received by the probe, causing problems such as persistently low monitoring data, signal drift, and response lag, resulting in UV energy monitoring distortion. This in turn will prevent the curing unit from adjusting the output power according to the actual process requirements, easily leading to quality defects such as insufficient curing of workpieces, sticky coatings, poor adhesion, or over-curing, coating embrittlement, and yellowing. These defects seriously affect the consistency of the finished coating and production stability, making it difficult to meet the precision online monitoring requirements of high-end coating production lines.
[0006] Therefore, the present invention provides an online real-time UV energy monitoring system for an automated UV coating line. Summary of the Invention
[0007] In order to overcome the shortcomings of the prior art, at least one technical problem raised in the background art is solved.
[0008] The technical solution adopted by this invention to solve its technical problem is: One objective of this invention is to provide an online real-time UV energy monitoring system for an automated UV coating line, comprising: The data acquisition module is used to acquire the instantaneous raw UV energy value radiated by the UV lamp tubes in the spraying line to the surface of the workpiece and the instantaneous volatile organic compound concentration value around the detection window of the UV sensor; The composite sedimentation characteristic calculation module is used to multiply the instantaneous raw UV energy value and the instantaneous volatile organic compound concentration value to obtain the UV energy value-volatile organic compound concentration value influence factor. The UV energy value-volatile organic compound concentration value influence factor is integrated and accumulated over time to obtain the composite sedimentation characteristic quantity characterizing the pollution level of the detection window. The attenuation compensation model construction module is used to analyze the linear correlation between composite sedimentary characteristics and the transmission attenuation coefficient of the detection window. Based on the linear correlation analysis results, a compensation model for the transmission attenuation coefficient of the detection window is established. The true UV energy value correction module is used to calculate the UV energy value - volatile organic compound concentration value influence factor based on the instantaneous original UV energy value and the instantaneous volatile organic compound concentration value, obtain the window transmission attenuation coefficient based on the detection window transmission attenuation coefficient compensation model, and then calculate the corrected true UV energy value based on the window transmission attenuation coefficient.
[0009] As a further improvement of the present invention, the specific process of obtaining the instantaneous original UV energy value radiated by the UV lamp tube in the spraying line to the surface of the workpiece is as follows: The UV energy detection probe is placed at the target spraying position of the workpiece on the spraying line, so that the detection surface of the probe and the surface of the workpiece are on the same light-receiving plane. When the UV lamp is lit normally and the spraying line is in actual working condition, the UV energy detection probe collects the ultraviolet light signal radiated from the UV lamp to the surface of the workpiece in real time and converts it into the instantaneous raw UV energy value.
[0010] As a further improvement of the present invention, the process for obtaining the instantaneous volatile organic compound concentration value is as follows: The VOCs concentration sensor is placed at a preset position around the UV sensor detection window. Under normal spraying conditions and VOCs volatilization and release conditions, the VOCs concentration sensor collects the volatile organic compound concentration signal in the air around the detection window in real time and outputs the instantaneous volatile organic compound concentration value.
[0011] As a further improvement of the present invention, the specific process for obtaining the UV energy value-volatile organic compound concentration value influencing factor is as follows: At the same sampling moment, the instantaneous raw UV energy value radiated from the UV lamp tube in the spraying line to the workpiece surface, as well as the instantaneous volatile organic compound concentration value around the UV sensor detection window, are obtained. Align the instantaneous raw UV energy value and instantaneous volatile organic compound (VOC) concentration value with the same time sequence, and perform a product operation on the instantaneous raw UV energy value and instantaneous VOC concentration value at the same moment to obtain the UV energy value - VOC concentration value influence factor.
[0012] As a further improvement of the present invention, the specific process of integrating and accumulating the influence factors of UV energy value and volatile organic compound concentration value over time to obtain the composite deposition characteristic quantity characterizing the degree of pollution in the detection window is as follows: Using the continuous operating time of the equipment as the integration interval, the influence factor of UV energy value - volatile organic compound concentration value is integrated over time to obtain the composite deposition characteristic quantity.
[0013] As a further improvement of the present invention, the specific process for analyzing the linear correlation between the composite deposition characteristic quantity and the transmission attenuation coefficient of the detection window is as follows: Within the same operating cycle, multiple sets of composite sedimentary characteristic quantity samples and corresponding probe window transmission attenuation coefficient samples are collected to construct one-to-one corresponding sample data pairs. The linear correlation between composite sedimentary characteristic quantities and probe window transmission attenuation coefficients is determined by the Pearson correlation coefficient algorithm.
[0014] As a further improvement of the present invention, the specific process of determining the linear correlation between the composite depositional characteristic quantity and the transmission attenuation coefficient of the detection window using the Pearson correlation coefficient algorithm is as follows: Using composite sedimentary characteristics as independent variables and the transmission attenuation coefficient of the probe window as the dependent variable, the correlation coefficient between the independent and dependent variables was calculated using the Pearson correlation coefficient algorithm. If the calculated correlation coefficient is greater than or equal to the correlation coefficient threshold, it indicates that the composite sedimentary characteristic quantity and the transmission attenuation coefficient of the detection window have a linear correlation. If the calculated correlation coefficient is less than the correlation coefficient threshold, it indicates that the composite sedimentary characteristic quantity and the transmission attenuation coefficient of the detection window are not linearly related.
[0015] As a further improvement of the present invention, the specific process of establishing the transmission attenuation coefficient compensation model of the detection window is as follows: If the composite sedimentary characteristics and the transmission attenuation coefficient of the detection window are linearly correlated, then the least squares method is used to linearly fit the sample data pair to obtain the compensation model for the transmission attenuation coefficient of the detection window. If the composite sedimentary characteristic quantity and the transmission attenuation coefficient of the detection window are not linearly related, a nonlinear fitting method is used to construct a transmission attenuation coefficient compensation model, thus forming a transmission attenuation coefficient compensation model for the detection window.
[0016] As a further improvement of the present invention, the specific process for calculating the corrected true UV energy value is as follows: The composite deposition characteristic quantity is input into the transmission attenuation coefficient compensation model of the detection window, and the corresponding window transmission attenuation coefficient is output. The window transmission attenuation coefficient is substituted into the correction calculation formula to perform attenuation compensation calculation on the real-time collected UV energy detection value, and the corrected real UV energy value after eliminating the influence of window contamination is obtained.
[0017] As a further improvement of the present invention, the specific process for obtaining the composite deposition characteristic quantities is as follows: The instantaneous raw UV energy value and instantaneous volatile organic compound concentration value at the same sampling time are multiplied to obtain the UV energy value - volatile organic compound concentration value influence factor. The UV energy value - volatile organic compound concentration value influence factor is integrated and accumulated over time to obtain the composite deposition characteristic quantity.
[0018] The second objective of this invention is to provide an online real-time UV energy monitoring method for an automated UV coating line, comprising: S10, acquire the instantaneous raw UV energy value radiated by the UV lamp tube in the spraying line to the surface of the workpiece and the instantaneous volatile organic compound concentration value around the detection window of the UV sensor; S20, the instantaneous raw UV energy value and the instantaneous volatile organic compound concentration value are multiplied to obtain the UV energy value - volatile organic compound concentration value influence factor. The UV energy value - volatile organic compound concentration value influence factor is integrated and accumulated over time to obtain a composite deposition characteristic quantity that characterizes the pollution level of the detection window. S30, analyze the linear correlation between composite sedimentary characteristic quantities and the transmission attenuation coefficient of the detection window, and establish a compensation model for the transmission attenuation coefficient of the detection window based on the results of the linear correlation analysis. S40 calculates the UV energy value - volatile organic compound concentration value influence factor based on the instantaneous raw UV energy value and instantaneous volatile organic compound concentration value, obtains the window transmission attenuation coefficient based on the detection window transmission attenuation coefficient compensation model, and then calculates the corrected true UV energy value based on the window transmission attenuation coefficient.
[0019] The beneficial effects of this invention are as follows: Firstly, it specifically addresses the pain point of existing UV monitoring technologies being unable to handle transparent polymer film contamination formed by photochemical reactions at the detection window. By constructing composite deposition characteristic quantities and establishing a compensation model, it accurately compensates for window transmission attenuation, completely avoiding problems such as UV energy monitoring distortion and signal drift. Secondly, it effectively ensures the stability of the UV curing process, eliminating quality defects such as insufficient workpiece curing, coating stickiness or over-curing, and coating embrittlement and yellowing caused by inaccurate monitoring, significantly improving the consistency and uniformity of the coated products. Thirdly, the technical solution is scientifically designed, constructing characteristic quantities based on the principles of photochemical reaction kinetics. The compensation model, combining linear and nonlinear fitting, has strong adaptability and can accurately reflect the correlation between window contamination and transmission attenuation. Fourthly, the system is easy to implement, requiring no complex modifications to existing automatic UV spraying lines. It can be directly adapted to the precision monitoring needs of various spraying lines, while reducing rework losses caused by quality defects, lowering process maintenance costs, improving production efficiency, and meeting the monitoring requirements of high-end coating production lines. Attached Figure Description
[0020] The invention will now be further described with reference to the accompanying drawings.
[0021] Figure 1 This is a system module diagram of an online UV energy real-time monitoring system for an automatic UV coating line according to the present invention; Figure 2 This is a flowchart illustrating the steps of an online real-time UV energy monitoring method for an automated UV coating line according to the present invention. Detailed Implementation
[0022] To make the technical means, creative features, objectives and effects of this invention easier to understand, the invention will be further described below in conjunction with specific embodiments.
[0023] Example 1 like Figure 1 As shown in the embodiment of the present invention, an online UV energy real-time monitoring system for an automated UV coating line includes: The data acquisition module is used to acquire the instantaneous raw UV energy value radiated by the UV lamp tubes in the spraying line to the surface of the workpiece and the instantaneous volatile organic compound concentration value around the detection window of the UV sensor; In the data acquisition module, the specific process of obtaining the instantaneous raw UV energy value radiated from the UV lamp tubes inside the spraying line to the workpiece surface and the instantaneous volatile organic compound concentration value around the UV sensor detection window is as follows: The UV energy detection probe is placed at the target spraying position of the workpiece on the spraying line, so that the probe detection surface and the workpiece surface are on the same light-receiving plane, ensuring that the ultraviolet radiation emitted by the UV lamp can directly irradiate the probe detection surface. When the UV lamp is lit normally and the coating line is in actual working condition, the UV energy detection probe collects the ultraviolet light signal radiated from the UV lamp to the workpiece surface in real time and converts it into the corresponding instantaneous raw UV energy value. The VOCs concentration sensor is positioned at a predetermined location around the UV sensor detection window, so that its detection end is close to the detection window area to accurately reflect the gas environment in that area. Under normal spraying conditions and VOCs volatilization and release conditions on the spraying line, the VOCs concentration sensor collects the concentration signal of volatile organic compounds in the air around the detection window in real time and outputs the corresponding instantaneous volatile organic compound concentration value.
[0024] The composite sedimentation characteristic calculation module is used to multiply the instantaneous raw UV energy value and the instantaneous volatile organic compound concentration value to obtain the UV energy value-volatile organic compound concentration value influence factor. The UV energy value-volatile organic compound concentration value influence factor is integrated and accumulated over time to obtain the composite sedimentation characteristic quantity characterizing the pollution level of the detection window. In the composite sedimentation characteristic quantity calculation module, the specific process of multiplying the instantaneous original UV energy value and the instantaneous volatile organic compound concentration value to obtain the UV energy value - volatile organic compound concentration value influence factor is as follows: At the same sampling moment, the instantaneous raw UV energy value radiated by the UV lamp tube in the spraying line to the workpiece surface and the instantaneous volatile organic compound concentration value around the UV sensor detection window are simultaneously acquired. Align the instantaneous raw UV energy value and instantaneous volatile organic compound (VOC) concentration value with the same time sequence, remove outliers and invalid data, and perform a product operation on the instantaneous raw UV energy value and instantaneous VOC concentration value at the same time to obtain the UV energy value - VOC concentration value influence factor corresponding to that time.
[0025] It should be noted that the purpose of multiplying the instantaneous raw UV energy value and the instantaneous volatile organic compound (VOC) concentration value is as follows: the film formation process of contaminants on the probe surface is essentially a photochemical reaction process. According to the principles of photochemical reaction kinetics, the reaction rate of this type of reaction is positively correlated with the product of the incident light intensity and the reactant concentration. Therefore, by multiplying the instantaneous raw UV energy value and the instantaneous VOC concentration value, the intensity of the photochemical reaction under the combined effect of light intensity and reactant concentration can be quantitatively characterized. This allows for a more realistic and accurate reflection of the combined driving force of contaminant generation, deposition, and film formation on the probe surface, providing a quantitative basis consistent with the reaction mechanism for subsequent analysis of the transmission attenuation law of the detection window.
[0026] It should also be noted that the aforementioned UV energy value-volatile organic compound concentration value influencing factors and composite deposition characteristic quantities are all dimensionless comprehensive characteristic quantities, lacking traditional physical units. Their purpose is not to directly characterize a specific physical parameter, but rather, based on the principles of photochemical reaction kinetics, they are formed through mathematical operations such as multiplication and time integration of the instantaneous raw UV energy value and the instantaneous volatile organic compound concentration value, resulting in algorithmic characteristic quantities used to quantitatively characterize the intensity of photochemical reactions and the degree of pollutant accumulation on the surface of the detection window. These dimensionless characteristic quantities are only used to reflect the intrinsic correlation between the pollution trend and transmission attenuation of the detection window and do not participate in actual physical dimension calculations.
[0027] In the composite sedimentary characteristic quantity calculation module, the specific process of integrating and accumulating the influence factors of UV energy value and volatile organic compound concentration value over time to obtain the composite sedimentary characteristic quantity characterizing the pollution level of the detection window is as follows: Using the continuous operating time of the equipment as the integration interval, the influence factor of UV energy value - volatile organic compound concentration value is integrated in the time dimension. The cumulative integration reflects the continuous deposition process of photochemical reaction products on the surface of the detection window. After integration, composite sedimentation characteristics are obtained, which can quantitatively characterize the total amount and degree of pollutant accumulation driven by photochemical reactions during the entire operating cycle of the detection window.
[0028] The attenuation compensation model construction module is used to analyze the linear correlation between composite sedimentary characteristics and the transmission attenuation coefficient of the detection window. Based on the linear correlation analysis results, a compensation model for the transmission attenuation coefficient of the detection window is established. In the attenuation compensation model construction module, the specific process for analyzing the linear correlation between composite sedimentary characteristic quantities and the transmission attenuation coefficient of the probe window is as follows: Within the same operating cycle, multiple sets of composite sedimentary characteristic quantity samples and corresponding probe window transmission attenuation coefficient samples are collected simultaneously to construct one-to-one corresponding sample data pairs. Using composite sedimentary characteristics as independent variables and the transmission attenuation coefficient of the probe window as the dependent variable, the correlation coefficient between the independent and dependent variables was calculated using the Pearson correlation coefficient algorithm. Compare the calculated correlation coefficient with the correlation coefficient threshold (e.g., 0.7). If the calculated correlation coefficient is greater than or equal to the correlation coefficient threshold, it indicates that the composite sedimentary characteristic quantity and the transmission attenuation coefficient of the detection window have a linear correlation. If the calculated correlation coefficient is less than the correlation coefficient threshold, it indicates that the composite sedimentary characteristic quantity and the transmission attenuation coefficient of the detection window are not linearly related.
[0029] In the attenuation compensation model construction module, the specific process of establishing the transmission attenuation coefficient compensation model for the detection window based on the results of linear correlation analysis is as follows: If the composite sedimentary characteristics and the transmission attenuation coefficient of the detection window are linearly correlated, then the least squares method is used to perform a linear fit on the above sample data pair to obtain the linear fitting equation between the composite sedimentary characteristics and the transmission attenuation coefficient of the detection window. This linear fitting equation is the compensation model for the transmission attenuation coefficient of the detection window. If the composite sedimentary characteristics and the transmission attenuation coefficient of the detection window are not linearly correlated, a nonlinear fitting method is used to construct a transmission attenuation coefficient compensation model. Based on the distribution characteristics of the sample data, one of polynomial fitting, exponential fitting or Gaussian fitting is selected to establish a nonlinear mapping relationship between the composite sedimentary characteristics and the transmission attenuation coefficient of the detection window, forming a detection window transmission attenuation coefficient compensation model suitable for nonlinear correlation scenarios.
[0030] The true UV energy value correction module is used to calculate the UV energy value - volatile organic compound concentration value influence factor based on the instantaneous original UV energy value and the instantaneous volatile organic compound concentration value, obtain the window transmission attenuation coefficient based on the detection window transmission attenuation coefficient compensation model, and then calculate the corrected true UV energy value based on the window transmission attenuation coefficient.
[0031] In the true UV energy value correction module, the UV energy value minus volatile organic compound concentration influence factor is calculated based on the instantaneous original UV energy value and the instantaneous volatile organic compound concentration value. Then, the window transmission attenuation coefficient is obtained based on the detection window transmission attenuation coefficient compensation model. Finally, the corrected true UV energy value is calculated based on the window transmission attenuation coefficient. The specific process is as follows: The instantaneous raw UV energy value and instantaneous volatile organic compound (VOC) concentration value at the same sampling moment are multiplied to obtain the UV energy value - VOC concentration value influence factor. The UV energy value - VOC concentration value influence factor is integrated and accumulated over time to obtain a composite deposition characteristic quantity characterizing the degree of pollution in the detection window. The composite deposition characteristic quantity is input into a pre-established detection window transmission attenuation coefficient compensation model to output the corresponding window transmission attenuation coefficient. The window transmission attenuation coefficient is substituted into a preset correction calculation formula to perform attenuation compensation calculation on the real-time collected UV energy detection value to obtain the corrected true UV energy value after eliminating the influence of window pollution.
[0032] It should be noted that the corrected calculation formula is: Real Energy (Ereal) = Detected Energy (Emeas) ÷ (1 - Window Transmission Attenuation Coefficient Y), that is, Ereal = Emeas / (1-Y); The detected energy (Emeas) is the energy actually received by the UV sensor. This energy is the attenuated energy of UV light after passing through the contaminated detection window, and is not the actual energy of the UV lamp. The window transmission attenuation coefficient (Y) is the proportion of UV light energy blocked by contaminants when passing through the detection window (for example, Y=0.2, meaning 20% of the UV energy is blocked by window contaminants).
[0033] The proportion of UV light energy passing through the detection window is 1 - window transmission attenuation coefficient Y (for example, when Y=0.2, the transmission proportion is 0.8). Therefore, the relationship between the energy detected by the sensor (Emeas) and the real energy (Ereal) is Emes = Ereal × (1-Y). To obtain the real energy, the above modified calculation formula can be obtained by rearranging the terms of this formula.
[0034] Example 2 like Figure 2 As shown, based on the specific implementation process of Example 1, the present invention also provides an online real-time UV energy monitoring method for an automatic UV coating line, including: S10, acquire the instantaneous raw UV energy value radiated by the UV lamp tube in the spraying line to the surface of the workpiece and the instantaneous volatile organic compound concentration value around the detection window of the UV sensor; S20, the instantaneous raw UV energy value and the instantaneous volatile organic compound concentration value are multiplied to obtain the UV energy value - volatile organic compound concentration value influence factor. The UV energy value - volatile organic compound concentration value influence factor is integrated and accumulated over time to obtain a composite deposition characteristic quantity that characterizes the pollution level of the detection window. S30, analyze the linear correlation between composite sedimentary characteristic quantities and the transmission attenuation coefficient of the detection window, and establish a compensation model for the transmission attenuation coefficient of the detection window based on the results of the linear correlation analysis. S40 calculates the UV energy value - volatile organic compound concentration value influence factor based on the instantaneous raw UV energy value and instantaneous volatile organic compound concentration value, obtains the window transmission attenuation coefficient based on the detection window transmission attenuation coefficient compensation model, and then calculates the corrected true UV energy value based on the window transmission attenuation coefficient.
[0035] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely illustrative of the principles of the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the present invention as claimed. The scope of protection of the present invention is defined by the appended claims and their equivalents.
Claims
1. An online real-time UV energy monitoring system for an automated UV coating line, characterized in that: include: The data acquisition module is used to acquire the instantaneous raw UV energy value radiated by the UV lamp tubes in the spraying line to the surface of the workpiece and the instantaneous volatile organic compound concentration value around the detection window of the UV sensor; The composite sedimentation characteristic calculation module is used to multiply the instantaneous raw UV energy value and the instantaneous volatile organic compound concentration value to obtain the UV energy value-volatile organic compound concentration value influence factor. The UV energy value-volatile organic compound concentration value influence factor is integrated and accumulated over time to obtain the composite sedimentation characteristic quantity characterizing the pollution level of the detection window. The attenuation compensation model construction module is used to analyze the linear correlation between composite sedimentary characteristics and the transmission attenuation coefficient of the detection window. Based on the linear correlation analysis results, a compensation model for the transmission attenuation coefficient of the detection window is established. The true UV energy value correction module is used to calculate the UV energy value - volatile organic compound concentration value influence factor based on the instantaneous original UV energy value and the instantaneous volatile organic compound concentration value, obtain the window transmission attenuation coefficient based on the detection window transmission attenuation coefficient compensation model, and then calculate the corrected true UV energy value based on the window transmission attenuation coefficient.
2. The online UV energy real-time monitoring system for an automatic UV coating line according to claim 1, characterized in that, The specific process for obtaining the instantaneous original UV energy value radiated from the UV lamp tubes inside the spraying line to the workpiece surface is as follows: The UV energy detection probe is placed at the target spraying position of the workpiece on the spraying line, so that the detection surface of the probe and the surface of the workpiece are on the same light-receiving plane. When the UV lamp is lit normally and the spraying line is in actual working condition, the UV energy detection probe collects the ultraviolet light signal radiated from the UV lamp to the surface of the workpiece in real time and converts it into the instantaneous raw UV energy value.
3. The online UV energy real-time monitoring system for an automatic UV coating line according to claim 1, characterized in that, The process for obtaining the instantaneous volatile organic compound concentration value is as follows: The VOCs concentration sensor is placed at a preset position around the UV sensor detection window. Under normal spraying conditions and VOCs volatilization and release conditions, the VOCs concentration sensor collects the volatile organic compound concentration signal in the air around the detection window in real time and outputs the instantaneous volatile organic compound concentration value.
4. The online UV energy real-time monitoring system for an automatic UV coating line according to claim 1, characterized in that, The specific process for obtaining the influencing factor of UV energy value - volatile organic compound concentration value is as follows: At the same sampling moment, the instantaneous raw UV energy value radiated from the UV lamp tube in the spraying line to the workpiece surface, as well as the instantaneous volatile organic compound concentration value around the UV sensor detection window, are obtained. Align the instantaneous raw UV energy value and instantaneous volatile organic compound (VOC) concentration value with the same time sequence, and perform a product operation on the instantaneous raw UV energy value and instantaneous VOC concentration value at the same moment to obtain the UV energy value - VOC concentration value influence factor.
5. The online UV energy real-time monitoring system for an automatic UV coating line according to claim 1, characterized in that, The specific process of integrating and accumulating the influence factors of UV energy value and volatile organic compound concentration value over time to obtain the composite depositional characteristic quantity characterizing the pollution level of the detection window is as follows: Using the continuous operating time of the equipment as the integration interval, the influence factor of UV energy value - volatile organic compound concentration value is integrated over time to obtain the composite deposition characteristic quantity.
6. The online UV energy real-time monitoring system for an automatic UV coating line according to claim 1, characterized in that, The specific process for analyzing the linear correlation between composite depositional characteristic quantities and the transmission attenuation coefficient of the detection window is as follows: Within the same operating cycle, multiple sets of composite sedimentary characteristic quantity samples and corresponding probe window transmission attenuation coefficient samples are collected to construct one-to-one corresponding sample data pairs. The linear correlation between composite sedimentary characteristic quantities and probe window transmission attenuation coefficients is determined by the Pearson correlation coefficient algorithm.
7. The online UV energy real-time monitoring system for an automatic UV coating line according to claim 6, characterized in that, The specific process of determining the linear correlation between composite depositional characteristic quantities and the transmission attenuation coefficient of the detection window using the Pearson correlation coefficient algorithm is as follows: Using composite sedimentary characteristics as independent variables and the transmission attenuation coefficient of the probe window as the dependent variable, the correlation coefficient between the independent and dependent variables was calculated using the Pearson correlation coefficient algorithm. If the calculated correlation coefficient is greater than or equal to the correlation coefficient threshold, it indicates that the composite sedimentary characteristic quantity and the transmission attenuation coefficient of the detection window have a linear correlation. If the calculated correlation coefficient is less than the correlation coefficient threshold, it indicates that the composite sedimentary characteristic quantity and the transmission attenuation coefficient of the detection window are not linearly related.
8. The online UV energy real-time monitoring system for an automatic UV coating line according to claim 1, characterized in that, The specific process for establishing the compensation model for the transmission attenuation coefficient of the detection window is as follows: If the composite sedimentary characteristics and the transmission attenuation coefficient of the detection window are linearly correlated, then the least squares method is used to linearly fit the sample data pair to obtain the compensation model for the transmission attenuation coefficient of the detection window. If the composite sedimentary characteristic quantity and the transmission attenuation coefficient of the detection window are not linearly related, a nonlinear fitting method is used to construct a transmission attenuation coefficient compensation model, thus forming a transmission attenuation coefficient compensation model for the detection window.
9. The online UV energy real-time monitoring system for an automatic UV coating line according to claim 1, characterized in that, The specific process for calculating the corrected true UV energy value is as follows: The composite deposition characteristic quantity is input into the transmission attenuation coefficient compensation model of the detection window, and the corresponding window transmission attenuation coefficient is output. The window transmission attenuation coefficient is substituted into the correction calculation formula to perform attenuation compensation calculation on the real-time collected UV energy detection value, and the corrected real UV energy value after eliminating the influence of window contamination is obtained.
10. The online UV energy real-time monitoring system for an automatic UV coating line according to claim 9, characterized in that, The specific process for obtaining the composite depositional characteristic quantities is as follows: The instantaneous raw UV energy value and instantaneous volatile organic compound concentration value at the same sampling time are multiplied to obtain the UV energy value - volatile organic compound concentration value influence factor. The UV energy value - volatile organic compound concentration value influence factor is integrated and accumulated over time to obtain the composite deposition characteristic quantity.