UV power supply startup control method, device, equipment and storage medium

Abstract

The present invention relates to a UV power start-up control method, device, equipment and storage medium, comprising the following steps: performing an initial temperature scan on a target UV lamp tube through a preset sensor to obtain initial temperature data; obtaining working condition parameters of the target UV lamp tube, performing preheating treatment on the target UV lamp tube based on the initial temperature data and the working condition parameters to obtain a preheating completion signal; triggering the start-up circuit through the preheating completion signal, applying a high voltage pulse to the target UV lamp tube based on the start-up circuit, and monitoring the lighting state of the target UV lamp tube during the application of the high voltage pulse; when an abnormal situation occurs in the lighting state, dynamically adjusting the high voltage pulse based on the abnormal situation through the feedback control circuit to ensure that the target UV lamp tube can be normally lit, thereby solving the technical problem that there is a lack of dynamic feedback adjustment during the start-up process, the abnormal change of the lamp tube state cannot be responded to in time, and the risk of starting failure is high.

Description

Technical Field

[0001] The present invention relates to the technical field of UV power supply, and in particular to a startup control method, device, equipment and storage medium of a UV power supply. Background Art

[0002] UV lamps are widely used in the fields of medical, industrial, and environmental applications, playing an important role in disinfection, sterilization, and curing. However, starting UV lamps has always been a challenge because they require a higher starting voltage and are easily affected by factors such as ambient temperature and aging, resulting in unstable or inability to light up. This not only reduces the service life of UV lamps, but also brings inconvenience to the application scenario.

[0003] Traditional UV power supply startup control methods usually have the following problems: it is impossible to monitor and compensate the lamp temperature in real time, and it is difficult to adapt to the startup requirements under different working conditions; there is a lack of dynamic feedback adjustment during the startup process, and it is impossible to respond to abnormal changes in the lamp status in time, resulting in a high risk of startup failure.

[0004] Therefore, it is urgent to study a UV power supply startup control method that can monitor the lamp temperature in real time and adaptively adjust the startup parameters according to dynamic feedback. This can not only improve the startup success rate of the UV lamp, but also extend its service life and meet the needs of various application scenarios. The startup control technology proposed in this paper is designed to solve the problems of UV power supply startup stability and adaptability. Summary of the invention

[0005] The main purpose of the present invention is to provide a UV power supply startup control method, device, equipment and storage medium, which solves the technical problem of lack of dynamic feedback adjustment during the startup process, inability to respond to abnormal changes in the lamp state in time, and high risk of startup failure.

[0006] To achieve the above object, the present invention provides a UV power supply startup control method, wherein the UV power supply is provided with a startup circuit and a feedback control circuit, and one end of the UV power supply is electrically connected to a target UV lamp, comprising the following steps:

[0007] Perform an initial temperature scan on the target UV lamp tube through a preset sensor to obtain initial temperature data;

[0008] Acquire working condition parameters of a target UV lamp tube, perform preheating processing on the target UV lamp tube based on the initial temperature data and the working condition parameters, and obtain a preheating completion signal;

[0009] The starting circuit is triggered by the preheating completion signal, and a high voltage pulse is applied to the target UV lamp tube based on the starting circuit, and the lighting state of the target UV lamp tube is monitored during the application of the high voltage pulse;

[0010] When an abnormal situation occurs in the lighting state, the high voltage pulse is dynamically adjusted based on the abnormal situation through the feedback control circuit to ensure that the target UV lamp can be lit normally.

[0011] Furthermore, the sensor is a temperature sensor array, and the initial temperature scan of the target UV lamp is performed by a preset sensor to obtain initial temperature data, including:

[0012] Performing multi-point temperature scanning on the surface of the target UV lamp tube by the temperature sensor array to obtain a temperature distribution diagram;

[0013] Performing noise filtering on the temperature distribution graph to obtain a purified temperature distribution graph;

[0014] Reconstructing the temperature field of the target UV lamp tube based on the purification temperature distribution map to obtain a reconstructed temperature distribution map;

[0015] Through a preset long short-term memory network, the temperature change trend is predicted based on the reconstructed temperature distribution map to obtain temperature change characteristics; wherein the temperature change characteristics include temperature change rate, temperature stability and temperature prediction confidence;

[0016] By using a preset fuzzy inference technology, based on the temperature change characteristics, the temperature of the target UV lamp is evaluated to obtain initial temperature data.

[0017] Furthermore, one end of the UV power supply is connected to a preheating current generating device, and the target UV lamp is preheated based on the initial temperature data and the working condition parameters to obtain a preheating completion signal, including:

[0018] By using a preset temperature-pressure correlation algorithm, the internal gas pressure of the target UV lamp tube is estimated and calculated according to the initial temperature data to obtain estimated pressure data;

[0019] Based on the estimated pressure data and the working condition parameters, the target UV lamp tube is preheated for a predetermined period of time to obtain a target preheating period of time;

[0020] Designing a preheating current waveform for the target UV lamp tube according to the target preheating time to obtain design current waveform data;

[0021] Controlling the preheating current generating device based on the designed current waveform data to obtain an actual output preheating current;

[0022] Applying the actual output preheating current to the target UV lamp tube for preheating operation to obtain preheating process data; wherein the preheating process data is data of the target UV lamp tube luminous intensity change process;

[0023] The preheating effect is evaluated and analyzed on the preheating process data to obtain a judgment result, and when the judgment result meets the preset preheating completion condition, a preheating completion signal is generated.

[0024] Furthermore, the triggering of the start circuit by the preheating completion signal and applying a high voltage pulse to the target UV lamp tube based on the start circuit to obtain a target UV lamp tube lighting signal include:

[0025] Activating the trigger module in the start circuit through the preheating completion signal to obtain a start-up ready state; wherein the start-up ready state is used to verify the validity of the preheating completion signal;

[0026] When the start-up preparation state is reached, a voltage pulse control signal is applied to the target UV lamp tube using pulse width modulation technology;

[0027] Performing digital-to-analog conversion on the voltage pulse control signal to obtain an analog high voltage pulse signal;

[0028] Based on the simulated high voltage pulse signal, the target UV lamp is initially excited to obtain an initial excitation result;

[0029] If the initial excitation result is that the target UV lamp is unstable, the frequency and amplitude of the simulated high voltage pulse signal are adjusted based on the initial excitation result by using an adaptive resonant converter to obtain an optimized high voltage pulse signal;

[0030] The target UV lamp tube is continuously excited by the optimized high voltage pulse signal until it is detected that the target UV lamp tube emits light stably, thereby obtaining a target UV lamp tube lighting signal.

[0031] Furthermore, the high voltage pulse is dynamically adjusted based on the abnormal situation through the feedback control circuit to ensure that the target UV lamp can be normally lit, including:

[0032] The lighting state of the target UV lamp is monitored in real time by a preset spectrometer to obtain the wavelength corresponding to the lighting state;

[0033] When an abnormal situation occurs in the wavelength, a Fourier transform algorithm is used to perform difference analysis on the wavelength corresponding to the abnormal situation to obtain wavelength difference characteristic data; wherein the wavelength difference characteristic data includes a wavelength offset value, a luminous flux change rate, and a color temperature change rate;

[0034] Based on the wavelength difference characteristic data, wavelet transform is used to analyze the high voltage pulse of the startup circuit to obtain voltage waveform distortion rate data;

[0035] Adaptively processing the voltage waveform distortion rate data to obtain optimized compensation parameters and power regulation instruction data corresponding to the optimized compensation parameters;

[0036] Through a preset fuzzy neural network, a power drive mapping conversion is performed based on the power regulation instruction data to obtain a power drive control signal; wherein the power drive control signal includes a PWM duty cycle, a switching frequency and a dead time;

[0037] Through the SPWM modulation algorithm and the feedback control circuit, the high voltage pulse is dynamically adjusted and controlled according to the power drive control signal to obtain a stable output high voltage pulse to ensure that the target UV lamp can be lit normally.

[0038] Furthermore, the power drive mapping conversion is performed based on the power regulation instruction data through a preset fuzzy neural network to obtain a power drive control signal, including:

[0039] Performing data normalization processing on the power adjustment instruction data to obtain standardized power instruction data;

[0040] The standardized power instruction data is fuzzified by using a membership function in a preset fuzzy neural network to obtain an optimized membership parameter;

[0041] Performing multi-objective optimization calculation on the optimized membership parameters to obtain an optimal fuzzy rule set;

[0042] Predicting and estimating an initial power drive control signal of the UV power supply based on the optimal fuzzy rule set;

[0043] Performing rolling time domain calculation on the initial power drive control signal to obtain an optimal control sequence signal;

[0044] The power drive mapping conversion is performed based on the optimal control sequence signal through an adaptive PI control algorithm to obtain a power drive control signal.

[0045] Further, based on the wavelength difference characteristic data, wavelet transform is used to analyze the high voltage pulse of the startup circuit to obtain voltage waveform distortion rate data, including:

[0046] Performing multi-layer decomposition on the wavelength difference characteristic data by wavelet decomposition algorithm to obtain decomposition coefficients; wherein the decomposition coefficients include approximate coefficients, detail coefficients and threshold coefficients;

[0047] Based on the decomposition coefficients, a time-frequency analysis is performed on the high voltage pulse of the startup circuit to obtain a reconstructed signal;

[0048] Performing spectrum analysis on the reconstructed signal by Fourier transform to obtain spectrum characteristics;

[0049] By using a preset energy algorithm, energy calculation is performed on the high voltage pulse of the startup circuit based on the frequency spectrum characteristics to obtain energy distribution;

[0050] By using a distortion rate algorithm, a distortion analysis is performed on the high voltage pulse of the starting circuit based on the energy distribution to obtain voltage waveform distortion rate data.

[0051] The present invention also provides a UV power supply startup control device, wherein a startup circuit and a feedback control circuit are provided in the UV power supply, and one end of the UV power supply is electrically connected to a target UV lamp tube, comprising:

[0052] A scanning module is used to perform an initial temperature scan on the target UV lamp tube through a preset sensor to obtain initial temperature data;

[0053] A preheating module, used for obtaining working condition parameters of a target UV lamp, performing preheating processing on the target UV lamp based on the initial temperature data and the working condition parameters, and obtaining a preheating completion signal;

[0054] A trigger module, configured to trigger the start circuit through the preheating completion signal, apply a high voltage pulse to the target UV lamp based on the start circuit, and monitor the lighting state of the target UV lamp during the application of the high voltage pulse;

[0055] The adjustment module is used for dynamically adjusting the high voltage pulse based on the abnormal situation through the feedback control circuit when an abnormal situation occurs in the lighting state, so as to ensure that the target UV lamp can be normally lit.

[0056] The present invention also provides a computer device, comprising a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of any one of the above methods when executing the computer program.

[0057] The present invention also provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the steps of any of the above-mentioned methods are implemented.

[0058] The UV power supply startup control method provided by the present invention comprises the following steps: performing an initial temperature scan on a target UV lamp tube through a preset sensor to obtain initial temperature data; obtaining working condition parameters of the target UV lamp tube, performing preheating treatment on the target UV lamp tube based on the initial temperature data and the working condition parameters, and obtaining a preheating completion signal; triggering the startup circuit through the preheating completion signal, applying a high voltage pulse to the target UV lamp tube based on the startup circuit, and monitoring the lighting state of the target UV lamp tube during the application of the high voltage pulse; when an abnormal situation occurs in the lighting state, the high voltage pulse is dynamically adjusted based on the abnormal situation by the feedback control circuit to ensure that the target UV lamp tube can be normally lit. Through the above technical means, the technical problem of lack of dynamic feedback adjustment during the startup process, inability to respond to abnormal changes in the lamp tube state in time, and high risk of startup failure is solved, and the lighting state of the target UV lamp tube is continuously monitored during the application of the high voltage pulse. Once an abnormal situation is found, the feedback control circuit will dynamically adjust the high voltage pulse parameters according to the actual situation to ensure that the lamp tube can be normally lit. This enhances the technical effect of the system's adaptability and stability. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] Figure 1 1 is a schematic diagram of the steps of a method for starting and controlling a UV power supply in one embodiment of the present invention;

[0060] Figure 2 It is a structural block diagram of a startup control device of a UV power supply in one embodiment of the present invention;

[0061] Figure 3 It is a schematic block diagram of the structure of a computer device according to an embodiment of the present invention.

[0062] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0063] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0064] like Figure 1 As shown, Figure 1 This is a schematic diagram of the steps of a UV power supply startup control method in one embodiment of the present invention;

[0065] In one embodiment of the present invention, a method for starting and controlling a UV power supply is provided. The UV power supply is provided with a starting circuit and a feedback control circuit. One end of the UV power supply is electrically connected to a target UV lamp. The method comprises the following steps:

[0066] In step S1, an initial temperature scan is performed on the target UV lamp tube through a preset sensor to obtain initial temperature data.

[0067] Specifically, in this UV power startup control method, the target UV lamp is scanned for initial temperature through a preset sensor to obtain initial temperature data. This step is crucial for subsequent preheating and dynamic adjustment. First, the initial temperature of the target UV lamp will be affected by factors such as ambient temperature and the temperature when it was last used. Under different use environments and working conditions, the initial temperature of the lamp may vary greatly. If the initial temperature data cannot be accurately obtained, it will be difficult to accurately control the subsequent preheating and startup parameter settings, and startup failure or unstable performance problems may occur. In order to accurately detect the initial temperature, a temperature sensor can be set inside the UV power supply or near the lamp. Usually, temperature sensitive elements such as thermocouples and thermal resistors can be selected. These sensors can monitor the temperature changes of the target UV lamp in real time and feed back the detection data to the control system of the UV power supply. For example, UV disinfection equipment used in medical, food and other fields often has a low temperature when the lamp is started due to the need for rapid disinfection. If the initial temperature cannot be accurately obtained, it is easy to cause startup failure and affect the disinfection effect of the equipment. Through the initial temperature scan, the control system can reasonably set the preheating time and startup parameters according to the actual temperature conditions, greatly improving the startup success rate. At the same time, for some industrial UV curing equipment, since the ambient temperature may fluctuate greatly, if the initial temperature of the lamp cannot be detected in real time, problems such as excessive current and unstable voltage may easily occur during the startup process, seriously affecting the curing effect. With the initial temperature data as a basis, the control system can adjust the preheating time and the starting voltage pulse according to the actual situation, so that the UV lamp can be lit at the optimal temperature and maintain stable operation. In short, the initial temperature scan of the target UV lamp through the preset temperature sensor can provide an accurate temperature basis for the subsequent preheating treatment and dynamic feedback adjustment, greatly improving the accuracy and reliability of the entire startup control process, thereby ensuring that the UV lamp can be smoothly lit and maintain stable operation under various complex working conditions.

[0068] In step S2, the working condition parameters of the target UV lamp are obtained, and the target UV lamp is preheated based on the initial temperature data and the working condition parameters to obtain a preheating completion signal.

[0069] Specifically, the control system plays an important role in the steps of obtaining the working condition parameters of the target UV lamp and preheating the lamp based on the initial temperature data and these working condition parameters. First, the control system needs to collect some key working parameters of the target UV lamp, such as rated power, voltage range, current characteristics, starting voltage, etc. These parameters reflect the specific working requirements of the lamp and are the basis for preheating and subsequent start-up control. For example, for some high-power UV sterilization lamps, their starting voltage and working current are relatively large. If targeted preheating treatment is not performed according to these parameters, it is easy to cause start-up failure or shortened life. With the working condition parameters of the target UV lamp as a reference, the control system can take appropriate preheating measures in combination with the initial temperature data obtained above. Generally speaking, a preheating current of a certain power can be applied to the UV lamp to gradually increase its temperature to the optimal starting state. For example, the UV disinfection lamp used in medical equipment has a low initial temperature at room temperature. If it is not preheated, it is easy to have problems such as current surge and voltage instability during startup, which affects the disinfection effect. By preheating the lamp for 3-5 minutes, its temperature can be raised to the optimal starting point, greatly improving the lighting success rate. During the preheating process, the control system will continuously monitor the temperature changes of the lamp. Once the optimal temperature state is reached, a preheating completion signal will be generated as the basis for triggering the subsequent starting circuit. This ensures that the lamp is started at the most suitable temperature on the one hand, and on the other hand, it avoids the problem of shortening the life due to excessive preheating. In short, obtaining the working condition parameters of the target UV lamp and performing accurate preheating based on the initial temperature data is a key link in the entire startup control process. This not only improves the startup success rate, but also lays the foundation for subsequent dynamic adjustment, ultimately ensuring that the UV lamp can be reliably started and maintain stable operation under various complex conditions.

[0070] In step S3, the starting circuit is triggered by the preheating completion signal, and a high voltage pulse is applied to the target UV lamp based on the starting circuit, and the lighting state of the target UV lamp is monitored during the application of the high voltage pulse.

[0071] Specifically, the control system plays a key role in the step of triggering the start circuit through the preheating completion signal and applying a high voltage pulse to the target UV lamp. Once the preheating process is detected to be completed, the control system will immediately trigger the start circuit and start applying a high voltage pulse to the UV lamp. The parameters of this high voltage pulse, such as pulse amplitude, duration, waveform, etc., are carefully designed according to the lamp working condition parameters obtained above, in order to ensure that the lamp can be lit smoothly. For example, for some industrial-grade UV curing equipment, the UV lamps used are usually high in power and require high starting voltage. If the high-voltage pulse parameters cannot be accurately controlled, it is easy to fail to light up or the current surges, thereby affecting the entire curing process. By accurately setting the high-voltage pulse through the control system, it can be ensured that the lamp can be lit smoothly under the best conditions. At the same time, during the application of the high-voltage pulse, the control system will also monitor the lighting status of the lamp in real time. Once an abnormal situation is found, measures can be taken in time to adjust it. Especially for some special occasions, such as medical UV disinfection equipment, the lighting status of the lamp is particularly critical, because the disinfection effect directly depends on the intensity and stability of UV light. When applying high-voltage pulses, the control system will monitor the current, voltage, light intensity and other parameters of the lamp in real time. Once any abnormality is found, the feedback control circuit will be triggered immediately for dynamic adjustment to ensure that the lamp can remain stably lit. This not only improves the reliability of the disinfection equipment, but also ensures the sanitation and safety of the medical environment. In short, the key to the entire startup control process is to trigger the start circuit through the preheating completion signal, and thereby accurately control the high-voltage pulse parameters, while monitoring the lighting status of the lamp in real time. This not only greatly improves the startup success rate, but also lays the foundation for subsequent dynamic feedback adjustment, ensuring that the UV lamp can continue to work stably under various complex working conditions.

[0072] In step S4, when an abnormal situation occurs in the lighting state, the high voltage pulse is dynamically adjusted based on the abnormal situation through the feedback control circuit to ensure that the target UV lamp can be normally lit.

[0073] Specifically, in the process of implementing the start-up control of the target UV lamp, even if the previous steps have been precisely controlled, some abnormal conditions may still occur due to the characteristics of the lamp itself and the complex and changeable working environment, resulting in lighting failure. Therefore, a feedback control circuit is also designed in this scheme, which can dynamically adjust the high voltage pulse based on the abnormal situation to ensure that the lamp can be lit smoothly and maintain stable operation. For example, for UV disinfection equipment used in some special occasions, there may be large temperature fluctuations in the working environment. Even if the lamp temperature has been ensured to be in the best state as much as possible during the preheating process, it may still fail to light up due to sudden temperature changes when the high-voltage pulse is applied to start. At this time, the feedback control circuit will monitor the current, voltage, light intensity and other parameters of the lamp in real time. Once an abnormality is found, the waveform, amplitude and duration of the high-voltage pulse will be adjusted immediately to compensate for the impact of ambient temperature changes on the startup process. Through this dynamic adjustment, it can be ensured that the target UV lamp can be lit smoothly and maintain stable light emission even under complex and changeable working conditions. Similarly, for some industrial-grade UV curing equipment, long-term use may cause some aging changes in the performance of the lamp, making the previously set startup parameters no longer applicable. At this time, the feedback control circuit will dynamically adjust the high-voltage pulse according to the abnormal conditions monitored in real time, such as increased current and decreased light intensity, to ensure that the lamp can be stably lit and the subsequent curing quality. In short, when the lighting state of the UV lamp is abnormal, the feedback control circuit can monitor and analyze the cause of the abnormality in real time, and then dynamically adjust the high-voltage pulse parameters based on this, so as to ensure that the lamp can be lit smoothly and maintain a stable working state. This not only improves the startup success rate, but also greatly enhances the reliability and adaptability of the entire UV power system, meeting the needs of various complex application scenarios.

[0074] In a specific embodiment, the sensor is a temperature sensor array, and the initial temperature scan of the target UV lamp tube is performed by a preset sensor to obtain initial temperature data, including:

[0075] Performing multi-point temperature scanning on the surface of the target UV lamp tube by the temperature sensor array to obtain a temperature distribution diagram;

[0076] Performing noise filtering on the temperature distribution graph to obtain a purified temperature distribution graph;

[0077] Reconstructing the temperature field of the target UV lamp tube based on the purification temperature distribution map to obtain a reconstructed temperature distribution map;

[0078] Through a preset long short-term memory network, the temperature change trend is predicted based on the reconstructed temperature distribution map to obtain temperature change characteristics; wherein the temperature change characteristics include temperature change rate, temperature stability and temperature prediction confidence;

[0079] By using a preset fuzzy inference technology, based on the temperature change characteristics, the temperature of the target UV lamp is evaluated to obtain initial temperature data.

[0080] Specifically, in the UV power supply startup control method, the initial temperature scan of the target UV lamp tube and the acquisition of data through the preset temperature sensor array are the key steps to achieve accurate temperature monitoring. This process includes multiple links, and finally the initial temperature data of the target UV lamp tube is obtained, which provides a reliable temperature basis for the subsequent preheating treatment and dynamic feedback adjustment. First, the temperature sensor array performs multi-point temperature scanning on the surface of the target UV lamp tube to obtain the temperature data of each measuring point, thereby obtaining the temperature distribution map of the entire lamp tube surface. This multi-point scanning method can fully reflect the unevenness of the lamp tube surface temperature and provide basic data for the subsequent temperature field reconstruction. For example, in UV disinfection equipment used in the medical or food industry, due to the influence of ambient temperature and installation conditions, the temperature distribution on the surface of the UV lamp tube is often uneven. If only single-point detection is used, it is difficult to accurately describe the overall temperature condition, thereby affecting the effect of the preheating treatment. However, there are still some problems in directly using the original temperature distribution map data, such as the possibility of noise due to some external interference factors, which affects the subsequent temperature field reconstruction. Therefore, the system will perform noise filtering on the temperature distribution map to obtain a purified temperature distribution map. This step usually uses some digital filtering algorithms, such as median filtering and low-pass filtering, to effectively remove noise interference in the measurement process and ensure the accuracy and reliability of the temperature distribution data. With the purified temperature distribution map, the system can reconstruct the temperature field to obtain a more complete and accurate temperature distribution. This usually requires the application of some mathematical modeling and simulation methods, such as finite element method and Fourier analysis, to establish a three-dimensional temperature field model of the target UV lamp. Through this temperature field reconstruction, not only can the missing data points be supplemented, but also the temperature distribution characteristics of the lamp surface can be described more carefully, providing a more reliable basis for subsequent temperature evaluation and prediction. After obtaining the reconstructed temperature distribution map, the system will further use the long short-term memory network to predict the temperature change trend and obtain the temperature change characteristics. The long short-term memory network is a special recurrent neural network that is good at processing time series data and can learn and remember the long-term dependencies of data, so as to more accurately predict future temperature changes. These temperature change characteristics include temperature change rate, temperature stability, and prediction confidence, which provide an important basis for subsequent temperature evaluation. Finally, the system will use the preset fuzzy reasoning technology to comprehensively consider factors such as temperature distribution characteristics and change trends to evaluate and judge the initial temperature of the target UV lamp and obtain the final initial temperature data. Fuzzy reasoning technology can better handle uncertainties in complex systems and combine expert experience rules to give a temperature evaluation result that is closer to reality. Taking medical UV disinfection equipment as an example, due to its low working environment temperature, if only traditional single-point temperature detection is used, it is difficult to accurately grasp the overall temperature condition of the lamp, which may cause the preheating time to be too long or insufficient, affecting the disinfection effect.However, by performing multi-point scanning with the temperature sensor array, combined with a series of technical means such as noise filtering of the temperature distribution map, temperature field reconstruction, change trend prediction, and fuzzy reasoning evaluation, more accurate and reliable initial temperature data can be obtained. This lays a solid foundation for subsequent preheating treatment and dynamic feedback adjustment, ensuring that the UV lamp can be smoothly lit at the optimal temperature and maintain stable light emission, greatly improving the reliability and applicability of the disinfection equipment. Similarly, in UV curing equipment used in the industrial field, due to factors such as ambient temperature and lamp aging, the initial temperature of the lamp may also vary greatly. If the traditional single-point temperature detection is still used, it is easy to preheat insufficiently or excessively, resulting in poor curing effect. However, through multi-point temperature scanning, noise filtering, temperature field reconstruction and other means, the system can more accurately evaluate the initial temperature of the lamp, providing a reliable basis for subsequent preheating treatment and startup control, thereby ensuring the stability and reliability of the entire curing process. In summary, this step in the UV power startup control method makes full use of technical means such as temperature sensor array, temperature distribution map analysis, trend prediction and fuzzy reasoning to achieve accurate detection and evaluation of the initial temperature of the target UV lamp tube, laying a solid foundation for subsequent preheating treatment and dynamic feedback adjustment, greatly improving the reliability and adaptability of the entire startup control process, and meeting the needs of various complex application scenarios.

[0081] In a specific embodiment, one end of the UV power supply is connected to a preheating current generating device, and the preheating process is performed on the target UV lamp based on the initial temperature data and the working condition parameters to obtain a preheating completion signal, including:

[0082] By using a preset temperature-pressure correlation algorithm, the internal gas pressure of the target UV lamp tube is estimated and calculated according to the initial temperature data to obtain estimated pressure data;

[0083] Based on the estimated pressure data and the working condition parameters, the target UV lamp tube is preheated for a predetermined period of time to obtain a target preheating period of time;

[0084] Designing a preheating current waveform for the target UV lamp tube according to the target preheating time to obtain design current waveform data;

[0085] Controlling the preheating current generating device based on the designed current waveform data to obtain an actual output preheating current;

[0086] Applying the actual output preheating current to the target UV lamp tube for preheating operation to obtain preheating process data; wherein the preheating process data is data of the target UV lamp tube luminous intensity change process;

[0087] The preheating effect is evaluated and analyzed on the preheating process data to obtain a judgment result, and when the judgment result meets the preset preheating completion condition, a preheating completion signal is generated.

[0088] Specifically, based on the aforementioned acquisition of the initial temperature data of the target UV lamp, this solution further proposes a method for preheating the lamp based on the estimated pressure data and working condition parameters. The purpose of this preheating treatment is to ensure that the lamp is started at the optimal temperature state, thereby improving the startup success rate and stability. Specifically, first, the system will use a preset temperature-pressure correlation algorithm to estimate and calculate the internal gas pressure of the target UV lamp according to the acquired initial temperature data to obtain the estimated pressure data. This is because the internal pressure state of the UV lamp will directly affect its startup and working characteristics. Generally speaking, a higher internal pressure will increase the starting voltage requirements, while too low a pressure may cause unstable lighting. Therefore, accurately estimating the pressure state inside the lamp is crucial for subsequent preheating time planning and current waveform design. With the estimated pressure data and the working condition parameters of the target UV lamp, the system can plan the preheating time. Here, it is necessary to calculate the preheating time required for the lamp to rise from the initial temperature to the optimal starting temperature based on an empirical formula or a simulation model. For example, for industrial-grade UV curing equipment, due to the high ambient temperature and high initial temperature, only 1-2 minutes of preheating may be sufficient; while for UV disinfection equipment in the medical or food field, due to the low ambient temperature, 3-5 minutes of preheating may be required. Through accurate planning of the preheating time, it can be ensured that the lamp tube completes the preheating preparation at the optimal temperature. With the target preheating time, the system can design and optimize the preheating current waveform. Here, many factors need to be considered, such as the working voltage, starting current, thermal conductivity, etc. of the lamp tube, to design a current waveform that can stably increase the lamp tube temperature to the optimal state within the preheating time. Usually, triangular waves, sine waves, etc. can be used, and pulse width modulation and other means can be used to dynamically adjust the current waveform to compensate for the impact of temperature changes on the preheating process. After designing the preheating current waveform, the system will actually preheat the target UV lamp tube according to the design data through the preheating current generating device. During this process, the system will monitor the change process of the luminous intensity of the lamp tube in real time as a basis for evaluating the preheating effect. If it is found that the luminous intensity of the lamp tube changes in a good trend during the preheating process, it means that the preheating effect has reached the expected level, and a preheating completion signal can be generated to prepare for the subsequent triggering of the starting circuit. Taking medical UV disinfection equipment as an example, due to the low working environment temperature, if a high-voltage pulse is directly applied to the lamp tube to start it, it is easy to cause problems such as current surge and unstable lighting, which will affect the disinfection effect. However, through the preheating treatment technology proposed in this scheme, the system first evaluates the internal pressure of the lamp tube according to the initial temperature, and accordingly plans the appropriate preheating time and current waveform, and then accurately heats the lamp tube through the preheating current generating device. In this process, the system monitors the changes in the luminous intensity of the lamp tube in real time to ensure that the subsequent starting circuit is triggered only after the preheating effect meets the standard.This not only improves the success rate of starting, but also ensures that the lamp is lit at the optimal temperature, thereby ensuring the stable operation and efficient sterilization performance of the disinfection equipment. Similarly, in industrial UV curing equipment, the initial temperature may also vary due to factors such as ambient temperature and lamp aging. However, through the preheating treatment technology proposed in this scheme, the system first evaluates the internal pressure according to the initial temperature, and designs a targeted preheating current waveform to accurately heat the lamp. In this process, the system monitors the change of luminous intensity in real time to ensure that the preheating effect is ideal before triggering the starting circuit. This greatly improves the adaptability of the curing equipment to various complex environments and ensures the stability and reliability of the entire curing process. In short, the technology proposed in this scheme for accurately preheating the target UV lamp based on estimated pressure data and working condition parameters makes full use of a series of means such as temperature-pressure correlation analysis, preheating time planning, current waveform design optimization, and preheating effect evaluation to ensure that the lamp completes preheating preparation in the best state. This lays a solid foundation for subsequent startup control, greatly improves the reliability and adaptability of the entire UV power supply system, and meets the needs of various complex application scenarios.

[0089] In a specific embodiment, the triggering of the start circuit by the preheating completion signal and applying a high voltage pulse to the target UV lamp tube based on the start circuit to obtain a target UV lamp tube lighting signal include:

[0090] Activating the trigger module in the start circuit through the preheating completion signal to obtain a start-up ready state; wherein the start-up ready state is used to verify the validity of the preheating completion signal;

[0091] When the start-up preparation state is reached, a voltage pulse control signal is applied to the target UV lamp tube using pulse width modulation technology;

[0092] Performing digital-to-analog conversion on the voltage pulse control signal to obtain an analog high voltage pulse signal;

[0093] Based on the simulated high voltage pulse signal, the target UV lamp is initially excited to obtain an initial excitation result;

[0094] If the initial excitation result is that the target UV lamp is unstable, the frequency and amplitude of the simulated high voltage pulse signal are adjusted based on the initial excitation result by using an adaptive resonant converter to obtain an optimized high voltage pulse signal;

[0095] The target UV lamp tube is continuously excited by the optimized high voltage pulse signal until it is detected that the target UV lamp tube emits light stably, thereby obtaining a target UV lamp tube lighting signal.

[0096] Specifically, after obtaining the preheating completion signal, the system begins to apply a high voltage pulse to the target UV lamp through the starting circuit, and dynamically optimizes and adjusts the pulse signal according to the actual lighting situation until the lamp can emit light stably. This process reflects the system's refined control of the starting process. First, the preheating completion signal will activate the trigger module in the starting circuit and put it into the starting preparation state. This preparation state is mainly used to verify the validity of the preheating completion signal to ensure that subsequent starting operations are performed under optimal temperature conditions. For example, for some industrial-grade UV curing equipment, due to factors such as ambient temperature and lamp aging, the preheating completion signal may not truly reflect the optimal starting temperature of the lamp. At this time, the starting preparation state will further verify the preheating completion signal to avoid premature or erroneous triggering of the starting circuit, thereby ensuring the reliability of the starting process. After verifying the starting preparation state, the system begins to use pulse width modulation technology to apply an optimized voltage pulse control signal to the target UV lamp. Here, it is necessary to fully consider the working characteristics of the lamp and design a high-voltage pulse waveform that can maximize its light emission. Square waves, triangle waves and other forms are usually used, and the waveform parameters are dynamically optimized by means of pulse width modulation. This not only ensures the waveform quality of the output signal, but also adjusts the pulse width at any time according to the actual lighting situation to improve the excitation efficiency. The voltage pulse control signal after pulse width modulation is converted by digital-to-analog conversion to obtain an analog high-voltage pulse signal. This analog high-voltage signal will be directly applied to the target UV lamp for the first excitation. During this initial excitation process, the system will closely monitor the lighting status of the lamp. If it is found that the lamp is unstable, it will immediately optimize and adjust. Specifically, the system will use adaptive resonant converter technology to adjust the frequency and amplitude of the analog high-voltage pulse signal according to the results of the initial excitation. This adaptive adjustment mechanism can quickly respond to abnormal conditions that occur during the lighting process of the lamp, such as current surges, voltage instability, etc., and compensate for these problems in time to ensure that the lamp can be lit smoothly and maintain stable light emission. For example, for medical UV disinfection equipment, due to the sudden increase in current when the lamp is first excited, the subsequent disinfection effect is seriously affected. However, through the dynamic adjustment of the adaptive resonant converter, the high voltage pulse signal can be optimized in time to avoid the occurrence of this current surge phenomenon, ensuring that the UV lamp can stably emit light under the best working condition, thereby ensuring the reliability and efficiency of the disinfection equipment. By continuously exciting the target UV lamp with the optimized high voltage pulse until its stable light emission is detected, the system can finally obtain the target UV lamp lighting signal. This lighting signal not only indicates that the lamp is successfully lit, but also means that all parameters in the entire startup process have reached the optimal state, laying the foundation for subsequent normal operation.In short, the system plays a key role in the steps of triggering the start circuit through the preheating completion signal and accurately controlling the high-voltage pulse excitation process by using pulse width modulation, adaptive resonant conversion and other technical means. This not only ensures that the target UV lamp is started at the optimal temperature, but also can quickly respond to and compensate for various abnormal conditions that occur during the lighting process by dynamically optimizing and adjusting the high-voltage pulse signal, and finally achieves stable lighting of the lamp. This greatly improves the reliability and adaptability of the entire UV power system, and provides a strong guarantee for various complex application scenarios.

[0097] In a specific embodiment, dynamically adjusting the high voltage pulse based on the abnormal situation through the feedback control circuit to ensure that the target UV lamp can be normally lit includes:

[0098] The lighting state of the target UV lamp is monitored in real time by a preset spectrometer to obtain the wavelength corresponding to the lighting state;

[0099] When an abnormal situation occurs in the wavelength, a Fourier transform algorithm is used to perform difference analysis on the wavelength corresponding to the abnormal situation to obtain wavelength difference characteristic data; wherein the wavelength difference characteristic data includes a wavelength offset value, a luminous flux change rate, and a color temperature change rate;

[0100] Based on the wavelength difference characteristic data, wavelet transform is used to analyze the high voltage pulse of the startup circuit to obtain voltage waveform distortion rate data;

[0101] Adaptively processing the voltage waveform distortion rate data to obtain optimized compensation parameters and power regulation instruction data corresponding to the optimized compensation parameters;

[0102] Through a preset fuzzy neural network, a power drive mapping conversion is performed based on the power regulation instruction data to obtain a power drive control signal; wherein the power drive control signal includes a PWM duty cycle, a switching frequency and a dead time;

[0103] Through the SPWM modulation algorithm and the feedback control circuit, the high voltage pulse is dynamically adjusted and controlled according to the power drive control signal to obtain a stable output high voltage pulse to ensure that the target UV lamp can be lit normally.

[0104] Specifically, during the aforementioned startup process, even if the system has controlled the high voltage pulse as accurately as possible, due to the characteristics of the target UV lamp itself and the complex working environment, some abnormal conditions may still occur, resulting in lighting failure or instability. In response to this situation, this solution proposes a technical solution to dynamically adjust the high voltage pulse through a feedback control circuit to ensure that the lamp can be lit normally and maintain stable light emission.

[0105] Specifically, the system will first monitor the lighting state of the target UV lamp in real time through the preset spectrometer to obtain the corresponding spectral wavelength data. This is because the change in the lighting state of the lamp will directly affect its luminous spectrum. If an abnormality occurs, the spectral wavelength will shift. With these wavelength data as a basis, the system can better analyze and handle subsequent abnormal situations. When an abnormal change in the spectral wavelength is detected, the system will use the Fourier transform algorithm to conduct an in-depth analysis of the wavelength difference and obtain a series of wavelength difference characteristic data including wavelength offset value, luminous flux change rate and color temperature change rate. These characteristic data can not only reflect the specific abnormal situation of the lighting state of the target UV lamp, but also provide an important basis for the subsequent optimization and adjustment of high voltage pulses. With the wavelength difference characteristic data, the system will analyze the high voltage pulse waveform output by the start-up circuit through wavelet transform to obtain the voltage waveform distortion rate data. The purpose of this step is to evaluate whether there is a distortion problem in the current high voltage pulse and provide a basis for subsequent optimization and adjustment. For example, for industrial-grade UV curing equipment, long-term use may cause aging changes in the performance of the lamp, so that the previously set high voltage pulse parameters are no longer applicable, resulting in voltage waveform distortion. At this point, wavelet transform analysis can help the system quickly identify this problem and provide guidance for subsequent optimization and adjustment. Based on the above voltage waveform distortion rate data, the system will perform adaptive processing to obtain optimized compensation parameters and corresponding power adjustment instruction data. These compensation parameters and power adjustment instructions will provide a basis for subsequent power drive control. It is worth mentioning that the system uses a preset fuzzy neural network technology in this step, which can better handle the uncertainty factors in complex systems and provide more practical optimized compensation parameters. Finally, based on the above power adjustment instruction data, the system will dynamically adjust and control the high voltage pulse signal through the SPWM modulation algorithm and feedback control circuit to obtain a stable output high voltage pulse. This involves the optimization of parameters such as PWM duty cycle, switching frequency and dead time, in order to ensure that the high voltage pulse can continue to meet the lighting requirements of the target UV lamp and avoid abnormal lighting caused by pulse distortion. Taking medical UV disinfection equipment as an example, due to the large temperature changes in its working environment, even if the aforementioned preheating treatment and startup control have been optimized as much as possible, abnormal conditions such as spectral wavelength shift and reduced luminous flux may still occur during the actual lighting process. These anomalies will seriously affect the sterilization performance of the disinfection equipment. However, through the dynamic adjustment technology of the feedback control circuit, the system can monitor these anomalies in real time and quickly analyze the specific difference characteristics, and then optimize the compensation of the high voltage pulse to ensure that the UV lamp maintains stable light emission, thereby ensuring the reliability of the disinfection effect. Similarly, for industrial-grade UV curing equipment, long-term use may cause the lamp performance to age and voltage waveform distortion, which seriously affects the curing quality.However, through the feedback control technology proposed in this scheme, the system can monitor these anomalies in real time and conduct precise analysis, and dynamically adjust the high-voltage pulse parameters according to the analysis results to ensure that the UV lamp can be stably lit in the best state, thus ensuring the quality and reliability of the entire curing process. In short, the technology of dynamically adjusting the high-voltage pulse through the feedback control circuit makes full use of a series of means such as spectral analysis, waveform distortion evaluation, and adaptive compensation, and can quickly respond to and compensate for various abnormal conditions that occur during the lighting process of the target UV lamp, ensuring that the lamp can continue to emit light stably. This greatly enhances the adaptability and reliability of the entire UV power system and meets the needs of various complex application scenarios.

[0106] In a specific embodiment, the power drive mapping conversion is performed based on the power regulation instruction data through a preset fuzzy neural network to obtain a power drive control signal, including:

[0107] Performing data normalization processing on the power adjustment instruction data to obtain standardized power instruction data;

[0108] The standardized power instruction data is fuzzified by using a membership function in a preset fuzzy neural network to obtain an optimized membership parameter;

[0109] Performing multi-objective optimization calculation on the optimized membership parameters to obtain an optimal fuzzy rule set;

[0110] Predicting and estimating an initial power drive control signal of the UV power supply based on the optimal fuzzy rule set;

[0111] Performing rolling time domain calculation on the initial power drive control signal to obtain an optimal control sequence signal;

[0112] The power drive mapping conversion is performed based on the optimal control sequence signal through an adaptive PI control algorithm to obtain a power drive control signal.

[0113] Specifically, in the process of dynamically adjusting the high voltage pulse through the feedback control circuit, the system needs to further use the preset fuzzy neural network technology to convert the power regulation instruction data obtained above into a specific power drive control signal. This process reflects the system's refined control of the power drive. First, the system will perform data normalization on the power regulation instruction data and convert it into standardized power instruction data. The purpose of this step is to prepare for the subsequent fuzzification processing and ensure that the data is in the same dimension. With the standardized power instruction data, the system will use the membership function in the preset fuzzy neural network to perform fuzzification processing on it and obtain the optimized membership parameters. This fuzzification process can better describe the uncertainty and ambiguity of the power instruction data and lay the foundation for the subsequent calculation of the optimal fuzzy rule set. Next, the system will perform multi-objective optimization calculation on the optimized membership parameters to obtain the best fuzzy rule set. These fuzzy rule sets can not only reflect the complex mapping relationship between the power instruction data and the power drive control signal, but also take into account the stability of the system, the response speed and other indicators, to ensure that the final power drive control signal is optimal. With the optimal fuzzy rule set, the system can predict and estimate the initial power drive control signal of the UV power supply based on it. This initial signal needs to be further optimized, so the system will use the rolling time domain calculation method to obtain the optimal control sequence signal. This rolling calculation can fully consider the dynamic characteristics of the system, continuously correct and update the control signal, and ensure that the final result is the best. Finally, the system will use the adaptive PI control algorithm to perform power drive mapping conversion according to the optimized optimal control sequence signal to obtain the final power drive control signal. This control signal includes parameters such as PWM duty cycle, switching frequency and dead time, which can accurately drive the UV power supply to output the required high voltage pulse signal. Taking medical UV disinfection equipment as an example, on the basis of the above-mentioned feedback control circuit dynamically adjusting the high voltage pulse, the system also needs to optimize the power drive control signal through fuzzy neural network technology. This process can fully consider the uncertainty of the power command data, obtain the optimal PWM duty cycle, switching frequency and other parameters, and ensure that the UV power supply can output a high voltage pulse signal that meets the needs of the disinfection equipment. At the same time, the system will also use rolling time domain calculation and adaptive PI control to continuously optimize and update the control signal, further improving the dynamic response capability and stability of the entire system. Similarly, in industrial UV curing equipment, due to the complex and changeable environmental conditions, power drive control also needs to be refined. Through fuzzy analysis and multi-objective optimization of fuzzy neural networks, the system can fully explore the complex mapping relationship between power command data and power drive parameters to obtain the optimal PWM, frequency and other control signals.Combined with rolling time domain calculation and adaptive PI adjustment, the system can also optimize the control signal in real time to ensure that the UV lamp can maintain stable light emission under complex working conditions and maintain the curing quality. In short, the process of optimizing the mapping of the power drive control signal through the preset fuzzy neural network technology gives full play to the advantages of fuzzy reasoning, dynamic optimization and other means, which can not only accurately describe the complex relationship between the power command data and the power drive parameters, but also adjust the control signal in real time to meet the driving requirements of the UV power supply under complex working conditions. This greatly enhances the adaptability and robustness of the entire system and provides reliable protection for various application scenarios.

[0114] In a specific embodiment, based on the wavelength difference characteristic data, wavelet transform is used to analyze the high voltage pulse of the startup circuit to obtain voltage waveform distortion rate data, including:

[0115] Performing multi-layer decomposition on the wavelength difference characteristic data by wavelet decomposition algorithm to obtain decomposition coefficients; wherein the decomposition coefficients include approximate coefficients, detail coefficients and threshold coefficients;

[0116] Based on the decomposition coefficients, a time-frequency analysis is performed on the high voltage pulse of the startup circuit to obtain a reconstructed signal;

[0117] Performing spectrum analysis on the reconstructed signal by Fourier transform to obtain spectrum characteristics;

[0118] By using a preset energy algorithm, energy calculation is performed on the high voltage pulse of the startup circuit based on the frequency spectrum characteristics to obtain energy distribution;

[0119] By using a distortion rate algorithm, a distortion analysis is performed on the high voltage pulse of the starting circuit based on the energy distribution to obtain voltage waveform distortion rate data.

[0120] Specifically, in the process of dynamically adjusting the high voltage pulse using the feedback control circuit, the system needs to conduct an in-depth analysis of the wavelength difference characteristic data of the target UV lamp through wavelet transform, so as to obtain the distortion rate data of the high voltage pulse of the starting circuit. These analysis results will provide a basis for the subsequent pulse optimization adjustment. First, the system will use the wavelet decomposition algorithm to perform multi-layer decomposition of the wavelength difference characteristic data to obtain a series of decomposition coefficients including approximate coefficients, detail coefficients and threshold coefficients. This multi-layer decomposition can describe the time-frequency characteristics of the wavelength difference data in more detail, laying the foundation for subsequent time-frequency analysis. For example, for medical UV disinfection equipment, due to factors such as ambient temperature fluctuations, instantaneous wavelength offsets may occur during the lighting process of the lamp tube. This high-frequency wavelength change is difficult to capture using traditional frequency domain analysis methods. Wavelet decomposition can accurately extract it, laying a good foundation for subsequent time-frequency analysis. With the above decomposition coefficients, the system can perform time-frequency analysis on the high voltage pulse signal output by the starting circuit based on this to obtain the reconstructed signal. The purpose of this step is to better identify the abnormal spectral components in the pulse signal. For example, for industrial UV curing equipment, due to factors such as lamp aging or ambient temperature changes, high voltage pulses may be distorted. This distortion will directly affect the lighting state of the lamp, thereby affecting the curing quality. Through the time-frequency analysis of wavelet transform, the system can accurately locate the distorted frequency components, providing a basis for subsequent optimization and adjustment. Next, the system will use Fourier transform to perform spectrum analysis on the reconstructed high voltage pulse signal to obtain its spectrum characteristics. These spectrum characteristics include the amplitude and phase information of each frequency component in the pulse signal, laying the foundation for energy analysis. With the spectrum characteristics, the system will calculate the energy distribution of the high voltage pulse signal through a preset energy algorithm. Here we mainly focus on the energy distribution of the pulse signal in different frequency bands to quantitatively reflect the degree of distortion. For example, for a high voltage pulse with obvious spectrum distortion, its energy in some frequency bands will be abnormally high or abnormally low, which shows the severity of the distortion problem. Finally, the system will use the distortion rate algorithm to analyze the waveform distortion degree of the high voltage pulse based on the aforementioned energy distribution data to obtain the voltage waveform distortion rate data. This distortion rate data can not only reflect the degree of distortion of the pulse signal, but also provide a quantitative basis for subsequent optimization and adjustment. Taking medical UV disinfection equipment as an example, due to the temperature change of its working environment, it may cause instantaneous wavelength deviation during the lighting process of the lamp. This wavelength difference will affect the system's judgment and control of high-voltage pulses. However, through wavelet decomposition and time-frequency analysis, the system can accurately extract the characteristics of this instantaneous wavelength change, and based on this, conduct an in-depth analysis of the spectrum and energy distribution of the pulse signal, and finally obtain the waveform distortion rate data.With these data as a basis, the system can optimize and adjust the high voltage pulse in a targeted manner to ensure that the disinfection equipment can maintain a stable and reliable sterilization effect in complex environments. Similarly, in industrial UV curing equipment, due to long-term use, the aging of the lamp tube may also cause the problem of high voltage pulse distortion. Through wavelet transform, spectrum analysis and energy calculation, the system can accurately locate the distortion frequency band in the pulse signal, providing a basis for subsequent optimization and adjustment. This greatly improves the system's adaptability to complex working conditions and ensures the stability and reliability of the entire curing process. In short, the process of analyzing the high voltage pulse signal through wavelet transform and obtaining the voltage waveform distortion rate data gives full play to the advantages of wavelet decomposition, time-frequency analysis, spectrum calculation and other means, and can accurately identify and quantitatively describe the abnormal conditions in the pulse signal. This provides a reliable basis for subsequent dynamic optimization and adjustment, and greatly improves the control accuracy and adaptability of the entire UV power system.

[0121] The above describes the start-up control method of the UV power supply in the embodiment of the present invention. The following describes the start-up control system of the UV power supply in the embodiment of the present invention. Figure 2 In one embodiment of the present invention, a start-up control system of a UV power source includes:

[0122] The scanning module 21 is used to perform an initial temperature scan on the target UV lamp tube through a preset sensor to obtain initial temperature data;

[0123] A preheating module 22, used for obtaining working condition parameters of a target UV lamp, performing preheating processing on the target UV lamp based on the initial temperature data and the working condition parameters, and obtaining a preheating completion signal;

[0124] A trigger module 23, configured to trigger the start circuit through the preheating completion signal, apply a high voltage pulse to the target UV lamp based on the start circuit, and monitor the lighting state of the target UV lamp during the application of the high voltage pulse;

[0125] The adjustment module 24 is used for dynamically adjusting the high voltage pulse based on the abnormal situation through the feedback control circuit when an abnormal situation occurs in the lighting state, so as to ensure that the target UV lamp can be lit normally.

[0126] In this embodiment, for the specific implementation of each unit in the above system embodiment, please refer to the above method embodiment, which will not be repeated here.

[0127] Reference Figure 3 The present invention also provides a computer device in an embodiment, wherein the internal structure of the computer device can be as follows: Figure 3As shown. The computer device includes a processor, a memory, a display screen, an input device, a network interface and a database connected through a system bus. Among them, the processor designed by the computer 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, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store the corresponding data in this embodiment. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, the above method is implemented.

[0128] Those skilled in the art will understand that Figure 3 The structure shown in the figure is merely a block diagram of a portion of the structure related to the solution of the present invention, and does not constitute a limitation on the computer device to which the solution of the present invention is applied.

[0129] An embodiment of the present invention further provides a computer-readable storage medium on which a computer program is stored, and when the computer program is executed by a processor, the above method is implemented. It can be understood that the computer-readable storage medium in this embodiment can be a volatile readable storage medium or a non-volatile readable storage medium.

[0130] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media provided by the present invention and used in the embodiments may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in a variety of forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double-speed data rate SDRAM (SSRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM.

[0131] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, device, article or method including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, device, article or method. In the absence of further restrictions, an element defined by the sentence "includes a ..." does not exclude the presence of other identical elements in the process, device, article or method including the element.

[0132] The above description is only a preferred embodiment of the present invention, and does not limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made by using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A UV power supply startup control method, characterized in that: The UV power supply is provided with a start-up circuit and a feedback control circuit, and one end of the UV power supply is electrically connected to a target UV lamp tube, comprising the following steps: Perform an initial temperature scan on the target UV lamp tube through a preset sensor to obtain initial temperature data; Acquire working condition parameters of a target UV lamp tube, perform preheating processing on the target UV lamp tube based on the initial temperature data and the working condition parameters, and obtain a preheating completion signal; The starting circuit is triggered by the preheating completion signal, and a high voltage pulse is applied to the target UV lamp tube based on the starting circuit, and the lighting state of the target UV lamp tube is monitored during the application of the high voltage pulse; When an abnormal situation occurs in the lighting state, the high voltage pulse is dynamically adjusted based on the abnormal situation through the feedback control circuit to ensure that the target UV lamp can be lit normally; The method of dynamically adjusting the high voltage pulse based on the abnormal situation through the feedback control circuit to ensure that the target UV lamp can be normally lit includes: The lighting state of the target UV lamp is monitored in real time by a preset spectrometer to obtain the wavelength corresponding to the lighting state; When an abnormal situation occurs in the wavelength, a Fourier transform algorithm is used to perform difference analysis on the wavelength corresponding to the abnormal situation to obtain wavelength difference characteristic data; wherein the wavelength difference characteristic data includes a wavelength offset value, a luminous flux change rate, and a color temperature change rate; Based on the wavelength difference characteristic data, wavelet transform is used to analyze the high voltage pulse of the startup circuit to obtain voltage waveform distortion rate data; Adaptively processing the voltage waveform distortion rate data to obtain optimized compensation parameters and power regulation instruction data corresponding to the optimized compensation parameters; Through a preset fuzzy neural network, a power drive mapping conversion is performed based on the power regulation instruction data to obtain a power drive control signal; wherein the power drive control signal includes a PWM duty cycle, a switching frequency and a dead time; Through the SPWM modulation algorithm and the feedback control circuit, the high voltage pulse is dynamically adjusted and controlled according to the power drive control signal to obtain a stable output high voltage pulse to ensure that the target UV lamp can be lit normally.

2. The UV power supply startup control method according to claim 1, characterized in that: The sensor is a temperature sensor array, and the target UV lamp is initially scanned by a preset sensor to obtain initial temperature data, including: Performing multi-point temperature scanning on the surface of the target UV lamp tube by the temperature sensor array to obtain a temperature distribution diagram; Performing noise filtering on the temperature distribution graph to obtain a purified temperature distribution graph; Reconstructing the temperature field of the target UV lamp tube based on the purification temperature distribution map to obtain a reconstructed temperature distribution map; Through a preset long short-term memory network, the temperature change trend is predicted based on the reconstructed temperature distribution map to obtain temperature change characteristics; wherein the temperature change characteristics include temperature change rate, temperature stability and temperature prediction confidence; By using a preset fuzzy inference technology, based on the temperature change characteristics, the temperature of the target UV lamp is evaluated to obtain initial temperature data.

3. The UV power supply startup control method according to claim 1, characterized in that: One end of the UV power supply is connected to a preheating current generating device, and the preheating process is performed on the target UV lamp tube based on the initial temperature data and the working condition parameters to obtain a preheating completion signal, including: By using a preset temperature-pressure correlation algorithm, the internal gas pressure of the target UV lamp tube is estimated and calculated according to the initial temperature data to obtain estimated pressure data; Based on the estimated pressure data and the working condition parameters, the target UV lamp tube is preheated for a predetermined period of time to obtain a target preheating period of time; Designing a preheating current waveform for the target UV lamp tube according to the target preheating time to obtain design current waveform data; Controlling the preheating current generating device based on the designed current waveform data to obtain an actual output preheating current; Applying the actual output preheating current to the target UV lamp tube for preheating operation to obtain preheating process data; wherein the preheating process data is data of the luminous intensity change process of the target UV lamp tube; The preheating effect is evaluated and analyzed on the preheating process data to obtain a judgment result, and when the judgment result meets the preset preheating completion condition, a preheating completion signal is generated.

4. The UV power supply startup control method according to claim 1, characterized in that: The triggering of the start circuit by the preheating completion signal and applying a high voltage pulse to the target UV lamp tube based on the start circuit to obtain a target UV lamp tube lighting signal include: Activating the trigger module in the start circuit through the preheating completion signal to obtain a start-up ready state; wherein the start-up ready state is used to verify the validity of the preheating completion signal; When the start-up preparation state is reached, a voltage pulse control signal is applied to the target UV lamp tube using pulse width modulation technology; Performing digital-to-analog conversion on the voltage pulse control signal to obtain an analog high voltage pulse signal; Based on the simulated high voltage pulse signal, the target UV lamp is initially excited to obtain an initial excitation result; If the initial excitation result is that the target UV lamp is unstable, an adaptive resonant converter is used to adjust the frequency and amplitude of the simulated high voltage pulse signal based on the initial excitation result to obtain an optimized high voltage pulse signal; The target UV lamp tube is continuously excited by the optimized high voltage pulse signal until it is detected that the target UV lamp tube emits light stably, thereby obtaining a target UV lamp tube lighting signal.

5. The UV power supply startup control method according to claim 1, characterized in that: The method of performing power drive mapping conversion based on the power regulation instruction data through a preset fuzzy neural network to obtain a power drive control signal includes: Performing data normalization processing on the power adjustment instruction data to obtain standardized power instruction data; The standardized power instruction data is fuzzified by using a membership function in a preset fuzzy neural network to obtain an optimized membership parameter; Performing multi-objective optimization calculation on the optimized membership parameters to obtain an optimal fuzzy rule set; Predicting and estimating an initial power drive control signal of the UV power supply based on the optimal fuzzy rule set; Performing rolling time domain calculation on the initial power drive control signal to obtain an optimal control sequence signal; The power drive mapping conversion is performed based on the optimal control sequence signal through an adaptive PI control algorithm to obtain a power drive control signal.

6. The UV power supply startup control method according to claim 1, characterized in that: Based on the wavelength difference characteristic data, wavelet transform is used to analyze the high voltage pulse of the startup circuit to obtain voltage waveform distortion rate data, including: Performing multi-layer decomposition on the wavelength difference characteristic data by wavelet decomposition algorithm to obtain decomposition coefficients; wherein the decomposition coefficients include approximate coefficients, detail coefficients and threshold coefficients; Based on the decomposition coefficients, a time-frequency analysis is performed on the high voltage pulse of the startup circuit to obtain a reconstructed signal; Performing spectrum analysis on the reconstructed signal by Fourier transform to obtain spectrum characteristics; By using a preset energy algorithm, energy calculation is performed on the high voltage pulse of the startup circuit based on the frequency spectrum characteristics to obtain energy distribution; By using a distortion rate algorithm, a distortion analysis is performed on the high voltage pulse of the starting circuit based on the energy distribution to obtain voltage waveform distortion rate data.

7. A UV power supply startup control device, characterized in that: The UV power supply is provided with a start-up circuit and a feedback control circuit, and one end of the UV power supply is electrically connected to a target UV lamp, including: A scanning module is used to perform an initial temperature scan on the target UV lamp tube through a preset sensor to obtain initial temperature data; A preheating module, used for obtaining working condition parameters of a target UV lamp, performing preheating processing on the target UV lamp based on the initial temperature data and the working condition parameters, and obtaining a preheating completion signal; A trigger module, configured to trigger the start circuit through the preheating completion signal, apply a high voltage pulse to the target UV lamp based on the start circuit, and monitor the lighting state of the target UV lamp during the application of the high voltage pulse; An adjustment module, used for dynamically adjusting the high voltage pulse based on the abnormal situation through the feedback control circuit when an abnormal situation occurs in the lighting state, so as to ensure that the target UV lamp can be normally lit; The method of dynamically adjusting the high voltage pulse based on the abnormal situation through the feedback control circuit to ensure that the target UV lamp can be normally lit includes: The lighting state of the target UV lamp is monitored in real time by a preset spectrometer to obtain the wavelength corresponding to the lighting state; When an abnormal situation occurs in the wavelength, a Fourier transform algorithm is used to perform difference analysis on the wavelength corresponding to the abnormal situation to obtain wavelength difference characteristic data; wherein the wavelength difference characteristic data includes a wavelength offset value, a luminous flux change rate, and a color temperature change rate; Based on the wavelength difference characteristic data, wavelet transform is used to analyze the high voltage pulse of the startup circuit to obtain voltage waveform distortion rate data; Adaptively processing the voltage waveform distortion rate data to obtain optimized compensation parameters and power regulation instruction data corresponding to the optimized compensation parameters; Through a preset fuzzy neural network, a power drive mapping conversion is performed based on the power regulation instruction data to obtain a power drive control signal; wherein the power drive control signal includes a PWM duty cycle, a switching frequency and a dead time; Through the SPWM modulation algorithm and the feedback control circuit, the high voltage pulse is dynamically adjusted and controlled according to the power drive control signal to obtain a stable output high voltage pulse to ensure that the target UV lamp can be lit normally.

8. A computer device comprising a memory and a processor, wherein a computer program is stored in the memory, wherein: When the processor executes the computer program, the steps of the method according to 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 method according to any one of claims 1 to 6 are implemented.

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