A real-time parameter monitoring method for UV curing equipment

Abstract

The present application relates to the technical field of equipment monitoring control, more particularly, the present application relates to a kind of real-time parameter monitoring method for UV curing equipment, method includes: obtaining the real-time light intensity of each moment in the running process of UV light source;Build the attenuation baseline model related to the cumulative running time of UV light source, and the attenuation baseline model is used to provide the expected light intensity of each moment in the running process;Obtain the deviation rate of real-time light intensity and expected light intensity of each moment;Calculate the target smoothing factor of each moment, and the value of target smoothing factor is positively correlated with the size of deviation rate;In the exponential weighted moving average algorithm, the real-time light intensity of each moment is processed using the target smoothing factor of each moment to obtain smoothed light intensity;Based on the difference between smoothed light intensity and set standard light intensity, adjust the process parameters of UV curing equipment, improve monitoring accuracy.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of equipment monitoring control. More particularly, the present application relates to a real-time parameter monitoring method for UV curing equipment. BACKGROUND

[0002] UV curing technology is a key link in modern industrial production, and its core is to make the ink, paint or adhesive and other materials on the product quickly cured through irradiation of ultraviolet light of a specific wavelength. The light intensity of the UV light source is the core parameter in the curing equipment. In order to ensure the stability and consistency of the curing quality, the irradiation light intensity of the UV light source must be accurately and real-time monitored.

[0003] In actual monitoring, the light intensity data collected by the sensor is often accompanied by random noise interference, so the existing technology generally uses the exponential weighted moving average (EWMA) algorithm to smooth the data to obtain a stable light intensity trend.

[0004] However, the UV light source itself has a physical characteristic that its light intensity will irreversibly decay with the increase of the use time, and this decay is not a linear process. The traditional exponential weighted moving average algorithm uses a fixed smoothing factor, which leads to defects in the UV curing monitoring scenario. On the one hand, in order to effectively filter out noise, the smoothing factor is usually small, but there will be significant lag. When the UV light source has a sudden change in light intensity due to lamp bead damage or other reasons, the algorithm output value cannot immediately follow up, resulting in slow system response, which may cause batch product curing failure. On the other hand, this algorithm cannot distinguish between normal aging decay of the light source and abnormal fluctuations caused by external factors (such as lamp tube pollution and poor heat dissipation) from the physical mechanism. All slow changes are indiscriminately smoothed and tracked, so it cannot provide early warning for potential failure risks, nor can it provide basis for accurate maintenance decisions, resulting in insufficient intelligence and predictability of monitoring.

[0005] Therefore, how to overcome the limitations of the traditional EWMA algorithm and achieve rapid response and intelligent identification control of UV light intensity changes is a problem to be solved in the current technical field. SUMMARY

[0006] To solve the above technical problems of how to overcome the limitations of the traditional EWMA algorithm and achieve rapid response and intelligent identification control of UV light intensity changes, the present application proposes a real-time parameter monitoring method for UV curing equipment, which comprises the following steps:

[0007] The real-time light intensity at each moment during the operation of the UV light source is acquired; a decay baseline model related to the cumulative operation time of the UV light source is constructed, and the decay baseline model is used to provide the expected light intensity at each moment during the operation; the deviation rate of the real-time light intensity at each moment from the expected light intensity is acquired; the target smoothing factor at each moment is calculated, and the value of the target smoothing factor is positively correlated with the size of the deviation rate; the real-time light intensity at each moment is processed by using the target smoothing factor at each moment in the exponential weighted moving average algorithm to obtain the smoothed light intensity; and the process parameters of the UV curing equipment are adjusted based on the difference between the smoothed light intensity and the set standard light intensity.

[0008] The light intensity data is processed by the exponential weighted moving average algorithm, the light intensity data can be accurately smoothed and denoised, the device is adjusted according to the smoothed light intensity data, and the accuracy of device monitoring is effectively improved. In the process of acquiring the smoothed light intensity, the application considers that the fixed smoothing factor cannot adapt to the light intensity of the UV light source with decay changes, resulting in poor smoothing effect and affecting the accuracy of light intensity trend evaluation. Based on this, the application constructs a light intensity decay model to acquire the expected light intensity at each moment according to the gradual physical change process of the early uniform speed and the accelerated middle and late stages of light intensity decay, and dynamically adjusts the smoothing factor according to the deviation rate between the expected light intensity and the real-time light intensity, so that the algorithm can quickly respond to actual changes, thereby timely realizing the supplement of the device speed, ensuring the product quality, and effectively improving the accuracy of device monitoring.

[0009] According to the real-time parameter monitoring method for the UV curing equipment provided by the application, the real-time light intensity at each moment during the operation of the UV light source is acquired, including: using a light intensity sensor to collect the real-time light intensity at each moment during the operation of the UV curing equipment according to a preset collection frequency.

[0010] According to the real-time parameter monitoring method for the UV curing equipment provided by the application, the decay baseline model satisfies the following relationship:

[0011] ;

[0012] is the expected light intensity at the first moment, is the initial light intensity of the UV light source, and e is a natural constant, is the initial decay coefficient, is the first moment of the cumulative operation of the UV light source, is the decay acceleration coefficient.

[0013] The application provides a precise attenuation baseline model, which is constructed by analyzing the physical law of early gentle attenuation and later accelerated aging of light intensity, so that the expected light intensity is more in line with the actual aging characteristics of the UV light source itself, and the model can more accurately predict the expected light intensity of the light source in the whole life cycle.

[0014] According to the real-time parameter monitoring method for the UV curing equipment provided by the application, the initial light intensity acquisition method of the UV light source comprises the following steps: starting a calibration mode after installing a brand new UV light source; running at a rated power for a preset time length in the calibration mode, and collecting the average light intensity in the time length as the initial light intensity.

[0015] According to the real-time parameter monitoring method for the UV curing equipment provided by the application, the deviation rate of the real-time light intensity and the expected light intensity at each moment is obtained, which comprises the following steps:

[0016] ;

[0017] is the deviation rate at the first moment, is the real-time light intensity at the first moment, is the expected light intensity at the first moment, is the absolute value symbol, is the non-division coefficient. The application provides a precise deviation rate calculation method, which normalizes the difference between the two, so that the same percentage deviation can trigger the same level of response at any stage of the light source life, ensuring monitoring accuracy. According to the real-time parameter monitoring method for the UV curing equipment provided by the application, the target smoothing factor at each moment is calculated, which comprises the following steps:

[0018]

[0019] ;

[0020] ;

[0021] is the target smoothing factor at the first moment, is the maximum value of the smoothing factor, is the minimum value of the smoothing factor, e is a natural constant, is the sensitivity coefficient, is the deviation rate at the first moment.

[0022] ​​​​This invention provides a precise method for calculating the target smoothing factor. When the deviation rate is small, the smoothing factor can be stabilized near the preset minimum value to ensure the denoising effect. When the deviation rate increases, the smoothing factor can grow rapidly to the maximum value in an exponential manner to achieve a fast response and avoid abrupt changes in the adjustment process, thus achieving a smooth transition between stable denoising and fast response.

[0023] According to the present invention, a real-time parameter monitoring method for UV curing equipment is provided, wherein adjusting the process parameters of the UV curing equipment based on the difference between the smooth light intensity and the set standard light intensity includes: adjusting the conveyor belt speed of the UV curing equipment according to the difference between the smooth light intensity and the set standard light intensity.

[0024] According to the present invention, a real-time parameter monitoring method for UV curing equipment, wherein adjusting the conveyor belt speed of the UV curing equipment based on the difference between the smoothed light intensity and the set standard light intensity includes:

[0025] ;

[0026] For the first Real-time speed after UV equipment compensation For standard speed, For the first Smooth light intensity at any given moment The standard light intensity corresponds to the product to be cured; the operating speed of the curing equipment is controlled according to the real-time speed after UV equipment compensation to achieve curing.

[0027] According to the real-time parameter monitoring method for UV curing equipment provided by the present invention, the minimum value of the smoothing factor ranges from 0.05 to 0.2, and the maximum value of the smoothing factor ranges from 0.8 to 0.95.

[0028] According to the present invention, a real-time parameter monitoring method for UV curing equipment is provided, wherein after adjusting the process parameters of the UV curing equipment, the method further includes: triggering an alarm and stopping the equipment operation when the deviation rate continuously exceeds a set alarm threshold for a preset duration.

[0029] This invention takes into account that when the light intensity deviation continues to exceed the threshold, the equipment failure can no longer ensure product quality through compensation. Therefore, by alarming and stopping the machine, production can be effectively avoided in the event of severe light source failure, thereby reducing the number of defective products produced.

[0030] The present invention has the following beneficial effects:

[0031] Based on the above technical scheme, the real-time parameter monitoring method for the UV curing equipment provided by the application can accurately smooth the light intensity data and remove noise by processing the light intensity data through the exponential weighted moving average algorithm, and effectively improves the accuracy of equipment monitoring by adjusting the equipment according to the smoothed light intensity data. In the process of obtaining the smoothed light intensity, the application considers that the fixed smoothing factor cannot adapt to the light intensity of the UV light source with decaying changes, resulting in poor smoothing effect and affecting the accuracy of light intensity trend evaluation. Based on this, the application constructs a light intensity decay model to obtain the expected light intensity at each moment according to the gradual physical change process of the early uniform speed and the later acceleration of the light intensity decay, and dynamically adjusts the smoothing factor according to the deviation rate between the expected light intensity and the real-time light intensity, so that the algorithm can quickly respond to the actual changes, thereby timely realizing the supplement of the equipment speed, ensuring the product quality, and effectively improving the accuracy of equipment monitoring. BRIEF DESCRIPTION OF DRAWINGS

[0032] Figure 1 is a step flow chart of a real-time parameter monitoring method for a UV curing equipment according to an embodiment of the application. DETAILED DESCRIPTION

[0033] The technical solutions in the embodiments of the application will be clearly and completely described below with reference to the drawings in the embodiments of the application. Obviously, the described embodiments are part of the embodiments of the application, rather than all the embodiments of the application.

[0034] It should be noted that, in order to accurately remove noise in the light intensity and capture the light intensity change trend, the application discloses a real-time parameter monitoring method for a UV curing equipment, which dynamically adjusts the smoothing factor by analyzing the difference between the real-time light intensity and the ideal light intensity, can accurately adapt to the decay trend of the UV lamp, and can quickly respond to the change of the light intensity data while smoothing the noise, thereby accurately realizing the monitoring of the UV curing equipment.

[0035] Please refer to Figure 1 , Figure 1 is a step flow chart of a real-time parameter monitoring method for a UV curing equipment according to an embodiment of the application, which comprises the following steps:

[0036] S1: obtaining the real-time light intensity at each moment during the operation of the UV light source.

[0037] The acquisition frequency can be set to 20Hz, and can be set according to actual needs.

[0038] It can be understood that the principle of UV curing is to make the ink, paint or adhesive quickly cured by irradiation of specific wavelength ultraviolet light, and the exposure energy determines the curing quality, and the exposure energy depends on the adjustment of light intensity. Therefore, the stable light intensity of the UV light source in stable operation can ensure the product quality. However, the light intensity attenuation of the UV light source will affect the product quality, so when processing based on the exponential weighted moving average algorithm, the smoothing factor needs to be dynamically adjusted according to the light intensity change.

[0039] Specifically, after a new UV light source is installed in the UV curing equipment, the system automatically enters a calibration mode. In this mode, the rated power is operated for a preset time, and the average light intensity in this time is continuously collected and recorded as the initial light intensity by using the built-in light intensity sensor. The initial light intensity is the maximum light intensity of the UV light source, which represents the best performance of the light source in the ideal state and is the starting point of all subsequent decay calculations. The preset time can be 1 hour.

[0040] The light intensity attenuation of the UV light source is divided into normal aging attenuation and abnormal fault attenuation, and the EWMA algorithm needs to judge whether the real-time light intensity deviates from the normal trend when smoothing the noise in the real-time light intensity at each moment. However, the fixed EWMA algorithm will use the same way to smooth and track the two attenuations, and for slowly changing data, it is assumed to be normal, so that the equipment cannot be predictive maintained.

[0041] Therefore, the embodiment of the present application can distinguish between normal aging attenuation and abnormal fault attenuation by the light intensity deviation between the real-time light intensity at each moment and the expected light intensity. In order to analyze the light intensity deviation in the cumulative running time of the UV light source, the embodiment of the present application can construct a light intensity attenuation model by calibrating each period in the cumulative running process, and predict the ideal light intensity at each moment in the cumulative running through the light intensity attenuation model, that is, the following steps are performed.

[0042] S2: Construct an attenuation baseline model related to the cumulative running time of the UV light source, which is used to provide the expected light intensity at each moment in the running process.

[0043] It should be noted that the attenuation of the UV light source is not linear. In order to capture its nonlinear characteristics, the system will automatically record the average light intensity at the time when the cumulative running time of the light source reaches a certain percentage of its rated life. These anchor data can more truly reflect the decay rate of the light source at each stage.

[0044] The light decay process of the UV light source is physically close to exponential decay, which is characterized by slow early decay and accelerated late decay. In order to describe this characteristic, the embodiment of the present application can construct an attenuation baseline model of the UV light source based on the initial light intensity and the mid-term anchor data, which is used to predict the expected light intensity of the light source at any running moment.

[0045] For example, in the embodiment of the present application, when determining the initial attenuation coefficient and the attenuation acceleration coefficient according to the interim anchor point data, the complete light source cumulative running time can be divided according to the percentage of the rated life it occupies to obtain interim anchors of multiple life stages, and the light intensity when the light source cumulative running time reaches the interim anchor of each life stage is obtained respectively. The related data of each interim anchor is substituted into the following attenuation relationship formula for data fitting solution, and the values of the corresponding initial attenuation coefficient and the attenuation acceleration coefficient can be obtained.

[0046] In order to improve accuracy, multiple groups of the same type of equipment can be set up for testing to obtain the average light intensity of the interim anchors of different equipment in the same life stage as the light intensity of the interim anchor of such equipment in that life stage.

[0047] For example, when dividing the complete light source cumulative running time, the length of each life stage can be divided into 10%, 25%, etc. of the light source cumulative running time, which can be set according to actual needs.

[0048] For example, when substituting the related data of each interim anchor into the following attenuation relationship formula for data fitting solution, the least squares method can be used for fitting, and the specific calculation steps can be realized by existing technology, which will not be described here in the embodiment of the present application.

[0049] After obtaining the initial light intensity, the initial attenuation coefficient and the attenuation acceleration coefficient in the anchor point data according to the above steps, an attenuation model can be constructed based on this to predict the ideal expected light intensity at each moment.

[0050] For example, in the embodiment of the present application, the expected light intensity at each moment is calculated according to the initial light intensity, the initial attenuation coefficient and the attenuation acceleration coefficient, which can be seen from the following relationship formula:

[0051] ;

[0052] is the expected light intensity at the moment, is the initial light intensity of the UV light source, and e is the natural constant, is the initial attenuation coefficient, is the UV light source cumulative running time, at the moment, is the attenuation acceleration coefficient.

[0053] , which is used to describe the approximately constant attenuation rate of the light source in the early stage, which is used to describe the attenuation acceleration phenomenon of the light source in the middle and later stages due to material aging and other factors.

[0054] In the above calculation relationship formula, represents linear predictable stable loss, in this stage, the material ages, energy loss is relatively slow and uniform, and the light intensity decay rate is approximately constant.

[0055] represents nonlinear accelerated aging loss, when the light source runs to the middle and late stages, factors such as filament light-emitting material fatigue, tube wall aging, and decreased heat dissipation efficiency are superimposed, resulting in an accelerated decay rate with time, so the decay rate is calculated by reflects the nonlinear amplification characteristics of the light source decay with time.

[0056] By combining the linear predictable stable loss and the nonlinear accelerated aging loss, the physical change process of the light source decay from uniform speed to acceleration can be accurately described, and the health status of the light source can be reflected.

[0057] According to the above steps, the expected light intensity of the UV light source at each time during the cumulative running process can be obtained, and the expected light intensity is the ideal light intensity of the light source at that time, which can be used as a reference for subsequent deviation degree analysis of the actual light intensity.

[0058] S3: Calculate the deviation rate of the real-time light intensity and the expected light intensity at each time; calculate the target smoothing factor at each time, and the value of the target smoothing factor is positively correlated with the size of the deviation rate.

[0059] It should be noted that the smaller the smoothing factor, the higher the corresponding smoothing strength, and the larger the smoothing factor, the weaker the corresponding smoothing strength. In normal operation, the light intensity data needs to be strongly smoothed and denoised to avoid noise interference in monitoring and judgment. If the smoothing strength is not enough, it may lead to the identification of normal fluctuations as abnormal decay, triggering unnecessary process adjustment, or masking the true slow decay trend, affecting the subsequent smoothing effect. When an abnormality occurs in the operation of the UV curing equipment, the light intensity will deviate from the normal decay track, and sudden drops or large fluctuations will occur. If the smoothing strength is too large, the smoothed light intensity may lag behind the real-time light intensity change, and the abnormality cannot be identified in time, thereby affecting the product quality and posing a safety hazard.

[0060] Based on this, in the embodiment of the present application, when the target smoothing factor at each time is obtained, the degree to which the light intensity data deviates from the normal decay track can be evaluated according to the difference between the real-time light intensity and the expected light intensity, and the smoothing factor can be adjusted based on this, so that the target smoothing factor adapted to each time can be accurately obtained.

[0061] For example, the ratio of the absolute value of the difference between the real-time light intensity and the expected light intensity at a time to the expected light intensity can be denoted as the deviation rate at that time, which can be specifically seen from the following relationship:

[0062] ;

[0063] is the deviation rate of the first time point, is the real-time light intensity of the first time point, is the expected light intensity of the first time point, is the real-time light intensity of the first time point, is the expected light intensity of the first time point, is the absolute value symbol, is the non-zero coefficient.

[0064] The deviation rate can quantify the severity of the real light intensity deviating from its normal decay orbit. In normal circumstances, the difference between the real-time light intensity and the expected light intensity is small, so the corresponding deviation rate is close to 0. It can be set to a very small positive real number, which can be set according to actual needs.

[0065] For example, in the embodiment of the application, the target smoothing factor of each time point is calculated, which can be specifically referred to the following relationship:

[0066]

[0067] is the target smoothing factor of the first time point, is the maximum value of the smoothing factor, is the minimum value of the smoothing factor, e is the natural constant, is the sensitivity coefficient, is the deviation rate of the first time point. The value range of

[0068] is 0.8 to 0.95, The value range of is 0.05 to 0.2, which can be set according to actual needs. The closer the target smoothing factor is to , the stronger the smoothing intensity is, which can effectively filter out noise; on the contrary, the closer the target smoothing factor is to , the weaker the smoothing intensity is, which can quickly respond to decay changes.

[0069] is the deviation rate of the first time point, When the UV curing equipment is running normally, the deviation rate is close to 0, and the value of the exponential part as a whole will be closer to 1, at this time will be highly close to , thereby providing the best noise suppression effect. When the UV curing equipment suddenly fails, The difference between increases, the deviation rate increases significantly, and the value of the exponential part as a whole will be closer to 0, at this time will be highly close to ​​​When the sudden drop occurs, the algorithm switches to the maximum smoothing factor, and the output value of the EWMA can catch up with the real light intensity at the fastest speed, thereby reducing the influence of the algorithm hysteresis on the smoothing result.

[0070] The sensitivity coefficient is used to adjust the response speed of the target smoothing factor to the deviation rate, and the greater the value is, From the faster the growth is, as an example, the sensitivity coefficient can be set to 10, and can be set according to actual needs.

[0071] According to the above steps, the target smoothing factor at each moment can be obtained, and according to the target smoothing factor, the smoothing can be performed, the stable denoising in the normal scene can be realized, the fast response in the abnormal scene can be realized, and the smooth transition in the gradual change scene can be realized, and the method is suitable for the physical process of light intensity attenuation.

[0072] S4: using the target smoothing factor at each moment in the exponential weighted moving average algorithm to process the real-time light intensity at each moment to obtain the smoothed light intensity; based on the difference between the smoothed light intensity and the set standard light intensity, adjusting the process parameters of the UV curing equipment.

[0073] For example, in the embodiment of the present application, the smoothed light intensity at each moment is calculated, and the specific calculation can be referred to the following relationship:

[0074]

[0075] is the smoothed light intensity at the first moment, is the target smoothing factor at the first moment, is the real-time light intensity at the first moment, is the smoothed light intensity at the first moment. The smoothed light intensity obtained in the above relationship can continuously and accurately reflect the gradual change process of the light intensity, and by adjusting the process parameters of the UV curing equipment according to the smoothed light intensity, the accuracy of real-time monitoring can be effectively improved. It should be noted that the curing quality of the product by the UV light source depends on the exposure energy, and the exposure energy is equal to the product of the light intensity and the exposure time, therefore, when the smoothed light intensity of the UV light source decreases, the exposure time needs to be increased to maintain the stability of the exposure energy.

[0076] For example, in the embodiment of the present application, the conveying belt speed of the UV curing equipment can be adjusted according to the difference between the smoothed light intensity and the set standard light intensity, and the specific adjustment method can be referred to the following relationship:

[0077]

[0078] For example, in the embodiment of the present application, the conveying belt speed of the UV curing equipment can be adjusted according to the difference between the smoothed light intensity and the set standard light intensity, and the specific adjustment method can be referred to the following relationship:

[0079] ​​​​​ ;

[0080] For the first Real-time speed after UV equipment compensation For standard speed, For the first Smooth light intensity at any given moment The standard light intensity is the light intensity corresponding to the product to be cured.

[0081] In the above relation, This is a signal used for control decisions. Under normal light decay, this value will decrease smoothly. It will also smoothly decelerate, achieving a smooth transition and compensation for equipment aging. Conversely, in the event of a sudden failure, It will drop sharply. It will also significantly reduce or even halt production, thereby avoiding the production of a large number of low-quality products during the downtime.

[0082] The standard speed and the standard light intensity corresponding to the product to be cured can be obtained from the characteristics of the product to be cured, which will not be elaborated here in this embodiment of the invention.

[0083] Understandably, using the raw, real-time light intensity to calculate the compensation speed would lead to frequent parameter fluctuations, thereby disrupting the stability of the equipment's operation. Using EWMA smoothing... During calculations, the compensation parameters can be gradually adjusted based on the actual light intensity trend, slowing down slowly during normal attenuation and dropping sharply or even pausing during abnormal attenuation. This allows for accurate compensation of light intensity attenuation while avoiding ineffective adjustments due to noise. By predicting the expected light intensity at the current lifetime node and comparing the deviation and rate of change between the actual and expected values, the health status of the UV light source can be predicted and assessed in real time, enabling precise monitoring and compensation of the curing process.

[0084] After obtaining the real-time speed of the UV device after compensation at each moment according to the above steps, the operating speed of the curing device can be controlled according to the real-time speed to achieve accurate curing.

[0085] For example, after obtaining the real-time speed of the UV device after compensation at each moment, the actual operating speed of the device can be collected in real time; the real-time speed of the UV device after compensation is sent to the device driver module, and the drive signal is adjusted according to the difference between the actual operating speed of the device and the real-time speed of the UV device after compensation, so as to control the operating speed of the curing device.

[0086] It can be understood that real-time light intensity can have false deviations due to sensor instantaneous fluctuations, power grid temporary jumps, etc. If the deviation rate continuously exceeds the threshold value, it indicates that the light intensity deviates from the normal decay track for a long time due to sudden abnormalities. If only deceleration is performed, a large number of defective products may be caused due to the abnormal light intensity that cannot meet the exposure energy requirements.

[0087] Therefore, it is necessary to alarm and stop production to avoid the generation of a large number of defective products and reduce quality loss.

[0088] For example, adjusting the process parameters of the UV curing equipment, and then further comprising: when the deviation rate continuously exceeds the set alarm threshold value for a preset time length, triggering an alarm and stopping the equipment running.

[0089] The preset time length can be set to 2 seconds, and the alarm threshold value can be set to 0.15, which can be set according to actual needs.

[0090] As can be seen, in the embodiment of the present application, the real-time light intensity of each moment in the running process of the UV light source can be obtained when monitoring the UV curing equipment; the decay baseline model related to the cumulative running time of the UV light source is constructed, and the decay baseline model is used to provide the expected light intensity of each moment in the running process; the deviation rate of each moment is obtained. Real-time light intensity and expected light intensity; calculate the target smoothing factor of each moment, the value of the target smoothing factor is positively correlated with the size of the deviation rate; the target smoothing factor of each moment is used in the exponential weighted moving average algorithm to process the real-time light intensity of each moment to obtain the smoothed light intensity; based on the difference between the smoothed light intensity and the set standard light intensity, the process parameters of the UV curing equipment are adjusted. In this way, the embodiment of the present application realizes rapid response and intelligent identification of UV light intensity changes by constructing a dynamic decay model, calculating a deviation rate and dynamically adjusting a smoothing factor, and accurately adjusts process parameters based on smoothed light intensity, thereby effectively improving the monitoring accuracy of the UV curing equipment and product quality, and avoiding batch production loss caused by abnormal light intensity.

[0091] The above only describes the preferred embodiments of the present application and is not intended to limit the present application. Any modification, equivalent replacement, improvement, etc. within the principles of the present application shall be included in the protection scope of the present application.

Claims

1. A method for real-time parameter monitoring of a UV curing device, characterized in that, The method comprises the following steps: acquiring real-time light intensity at each moment during operation of the UV light source; constructing an attenuation baseline model related to cumulative operation time of the UV light source, the attenuation baseline model being used to provide expected light intensity at each moment during operation; acquiring deviation rate of real-time light intensity at each moment from expected light intensity; calculating target smoothing factor at each moment, the value of the target smoothing factor being positively correlated with the size of the deviation rate; processing real-time light intensity at each moment using the target smoothing factor in an exponential weighted moving average algorithm to obtain smoothed light intensity; adjusting process parameters of the UV curing equipment based on difference between the smoothed light intensity and a set standard light intensity; The decay baseline model satisfies the following relationship: ; For the first Expected light intensity at any moment Let be the initial luminous intensity of the UV light source, and e be the natural constant. The initial attenuation coefficient, The cumulative operation of the UV light source time, This is the attenuation acceleration factor.

2. A method of real-time parameter monitoring for UV curing equipment according to claim 1, characterized in that, acquiring real-time light intensity at each moment during operation of the UV light source, comprising: using a light intensity sensor to collect real-time light intensity at each moment during operation of the UV curing equipment at a preset collection frequency.

3. A method for real-time parameter monitoring of a UV curing device according to claim 1, characterized in that, The method for acquiring initial light intensity of the UV light source comprises: after installing a brand-new UV light source, starting a calibration mode; in the calibration mode, operating at rated power for a preset time length, and collecting average light intensity in the time length as the initial light intensity.

4. The method of claim 1, wherein, The method for acquiring deviation rate of real-time light intensity at each moment from expected light intensity comprises: ； For the first Deviation rate at time, For the first Real-time light intensity at any given moment For the first Expected light intensity at any moment It is the absolute value symbol. The coefficient is not divisible by zero.

5. The method of claim 1, wherein, The method for calculating target smoothing factor at each moment comprises: ； is the target smoothing factor at the time point t, is the target smoothing factor at the time point t, is the maximum value of the smoothing factor, is the minimum value of the smoothing factor, e is the natural constant, is the sensitivity coefficient, is the target smoothing factor at the time point t, is the deviation rate at the time point t.

6. The method of claim 1, wherein, The method for adjusting process parameters of the UV curing equipment based on difference between the smoothed light intensity and a set standard light intensity comprises: adjusting the speed of a conveying belt of the UV curing equipment according to difference between the smoothed light intensity and the set standard light intensity.

7. A method of real-time parameter monitoring for UV curing equipment according to claim 6, characterized in that, The method for adjusting the speed of the conveying belt of the UV curing equipment according to difference between the smoothed light intensity and the set standard light intensity comprises: ； is the standard speed, is the real-time speed of the UV device after compensation, is the standard speed, is the standard speed, is the smooth light intensity at the time t, is the standard light intensity corresponding to the product to be cured; the running speed of the curing device is controlled according to the real-time speed of the UV device after compensation, and curing is realized.

8. The method of claim 1, wherein, the value range of the minimum value of the smoothing factor is 0.05 to 0.2; the value range of the maximum value of the smoothing factor is 0.8 to 0.

95.

9. The method of claim 1, wherein, The method for adjusting process parameters of the UV curing equipment further comprises: when the deviation rate continuously exceeds a set alarm threshold for a preset time length, triggering an alarm and stopping operation of the equipment.

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