Intelligent control method and system of nano ceramic metal halide lamp and storage medium

Abstract

The invention provides an intelligent control method and system for a nano ceramic metal halide lamp and a storage medium, and the method comprises the steps: collecting the voltage and current of a lamp tube, the light intensity of three groups of preset characteristic spectral lines obtained by a multi-channel photoelectric sensor, and a real-time chromaticity coordinate collected by a chromaticity sensor; estimating two aging state quantities, namely the evaporation cumulant of the electrode and the light transmittance attenuation of the tube wall of the lamp tube on line; in the starting transition stage, the target ratio curve is adjusted, and the output power increasing slope of the lamp tube is adjusted; in the stable operation stage, an acoustic resonance judgment amplitude threshold is set according to the attenuation amount of the light transmittance of the tube wall, joint spectral analysis is carried out on the high-frequency ripple of the tube voltage and the light intensity fluctuation of a third preset characteristic spectral line, acoustic resonance is judged when an energy peak exceeding the threshold is detected at the same frequency point, and a sweep frequency perturbation signal is superposed to a square wave fundamental frequency; and meanwhile, a mapping function is matched, real-time and target chromaticity coordinate deviation is substituted, a driving current asymmetry degree adjusting quantity is output to compensate color drift, and updating of the adjusting quantity is suspended during acoustic resonance.

Description

Technical Field

[0001] This application belongs to the field of intelligent control, and in particular relates to an intelligent control method, system and storage medium for a nano-ceramic metal halide lamp. Background Technology

[0002] The nano-ceramic metal halide lamp is driven by a high-frequency square-wave electronic ballast to suppress acoustic resonance that easily occurs under power frequency drive. However, the operating characteristics of metal halide lamps change with the accumulation of lighting time. This manifests as evaporation and loss of electrode materials, as well as changes in the chemical properties of the lamp tube wall material. Using fixed parameter models, such as a preset power ramp-up curve during the lamp's ignition transition phase, cannot adapt to the internal state changes caused by lamp aging. For aged lamps, excessively rapid power ramp-up may cause electrode damage, or insufficient power may lead to ignition failure or excessively long transition times, affecting lamp life and user experience.

[0003] During the stable operation phase of the lamp, acoustic resonance occurs during gas discharge within the sealed cavity under high-frequency drive, leading to drastic fluctuations in light output and even arc extinction. Acoustic resonance detection methods rely on analyzing the ripple of the lamp voltage or current, setting an amplitude threshold for judgment. However, as the lamp ages, the decreased light transmittance of the tube wall masks some of the light output fluctuations caused by acoustic resonance. Simultaneously, changes in lamp impedance also affect the ripple characteristics of the electrical signal, easily leading to missed or false detections. Electrode evaporation, causing changes in the filler ratio, is a major cause of color drift. Color drift compensation technology achieves this by adjusting the asymmetry of the drive current, but it cannot represent the relationship between the drive and chromaticity coordinates, making it difficult to maintain ideal chromaticity consistency throughout the lamp's entire lifespan. Therefore, a control method that can represent the relationship between drive parameters and chromaticity coordinates and maintain ideal chromaticity consistency is urgently needed. Summary of the Invention

[0004] This invention proposes an intelligent control method for nano-ceramic metal halide lamps to address the problem that existing methods cannot represent the relationship between driving parameters and chromaticity coordinates, making it difficult to maintain ideal chromaticity consistency. The method includes: The lamp tube voltage and current of the nano-ceramic metal halide lamp, the light intensity of at least the first, second and third preset characteristic spectral lines collected by a multi-channel photoelectric sensor, and the real-time chromaticity coordinates collected by a chromaticity sensor are obtained. Based on a state-space model with cumulative lighting time as a parameter, a Kalman filter is used to estimate the cumulative amount of electrode evaporation and the amount of lamp tube wall transmittance decay as aging state quantities online, using the real-time chromaticity coordinates and the light intensity of the preset characteristic spectral lines as observations. During the lamp's ignition transition phase, the target ratio curve is adjusted based on the accumulated evaporation of the electrodes. The slope of the lamp's output power is adjusted according to the deviation between the ratio of the light intensity of the first preset characteristic spectral line and the light intensity of the second preset characteristic spectral line and the adjusted target ratio curve. An amplitude threshold for acoustic resonance determination is set based on the attenuation of the tube wall transmittance. Joint spectral analysis is performed on the high-frequency ripple of the lamp voltage and the fluctuation of the light intensity of the third preset characteristic spectral line. When a related energy peak exceeding the amplitude threshold is detected at the same frequency point, acoustic resonance is determined to have occurred, and a sweep frequency perturbation signal is superimposed on the square wave fundamental frequency driving the lamp. During the stable operation phase of the lamp, a mapping function matching the current aging state is selected based on the cumulative evaporation of the electrodes. The deviation between the real-time chromaticity coordinates and the target chromaticity coordinates is used as input. The selected mapping function outputs the asymmetry adjustment amount of the driving current used to compensate for color drift. When acoustic resonance is detected, the update of the adjustment amount is paused.

[0005] Furthermore, the present invention also relates to an intelligent control system for a nano-ceramic metal halide lamp, comprising the following modules: The estimation module is used to acquire the lamp tube voltage and lamp tube current of the nano-ceramic metal halide lamp, the light intensity of at least the first, second and third preset characteristic spectral lines collected by the multi-channel photoelectric sensor, and the real-time chromaticity coordinates collected by the chromaticity sensor; based on the state space model with the cumulative lighting time as a parameter, using the Kalman filter, the real-time chromaticity coordinates and the light intensity of the preset characteristic spectral lines are used as observations to estimate the cumulative amount of electrode evaporation and the amount of lamp tube wall transmittance decay as aging state quantities online; The ignition adjustment module is used to adjust the target ratio curve according to the cumulative evaporation of the electrode during the ignition transition phase of the lamp tube, and to adjust the increasing slope of the lamp tube output power according to the deviation between the ratio of the light intensity of the first preset characteristic spectrum line and the light intensity of the second preset characteristic spectrum line and the adjusted target ratio curve. The stabilization adjustment module is used to set an amplitude threshold for acoustic resonance determination based on the attenuation of tube wall transmittance during the stable operation phase of the lamp tube. It performs joint spectrum analysis on the high-frequency ripple of the lamp tube voltage and the fluctuation of the light intensity of the third preset characteristic spectral line. When a related energy peak exceeding the amplitude threshold is detected at the same frequency point, acoustic resonance is determined to have occurred, and a sweep frequency perturbation signal is superimposed on the square wave fundamental frequency driving the lamp tube. During the stable operation phase of the lamp tube, a mapping function matching the current aging state is selected based on the cumulative amount of electrode evaporation. The deviation between the real-time chromaticity coordinates and the target chromaticity coordinates is used as input. The selected mapping function outputs an adjustment amount for the asymmetry of the driving current used to compensate for color drift, and the adjustment amount is paused when acoustic resonance is determined to have occurred.

[0006] This invention represents the specific aging state of a lamp throughout its entire lifespan by estimating the cumulative electrode evaporation and the attenuation of lamp wall transmittance online. During the initial ignition transition phase, the power increment process can be set according to the actual electrode wear, achieving optimized ignition for lamps with different aging levels and avoiding electrode damage caused by improper power increases. In the stable operation phase, the attenuation of lamp wall transmittance is used to set the threshold for acoustic resonance determination. Combined with the joint analysis of electrical and optical signals, operational stability is ensured. Simultaneously, a matching function is selected based on the cumulative electrode evaporation to compensate for chromatic aberration, solving the problem of decreased color drift compensation accuracy after lamp aging and improving the chromatic consistency of the light source throughout its entire lifespan. Attached Figure Description

[0007] Figure 1 A flowchart of the first embodiment; Figure 2 This is a schematic diagram of aging state estimation based on a Kalman filter; Figure 3 This is a schematic diagram illustrating the adjustment of the target ratio curve for the Qihui stage. Figure 4 This is a schematic diagram of the joint spectrum analysis of acoustic resonance. Detailed Implementation

[0008] The features and exemplary embodiments of various aspects of this application will be described in detail below. To make the objectives, technical solutions, and advantages of this application clearer, the application will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are only intended to explain this application and not to limit it. For those skilled in the art, this application can be implemented without some of these specific details. The following description of the embodiments is merely to provide a better understanding of this application by illustrating examples.

[0009] It should be noted that, in this document, relational terms such as "first" and "second" are used merely to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising..." does not exclude the presence of additional identical elements in the process, method, article, or apparatus that includes said element.

[0010] In the first embodiment, the present invention proposes an intelligent control method for a nano-ceramic metal halide lamp, such as... Figure 1 As shown, it includes: S1, acquire the lamp tube voltage and lamp tube current of the nano-ceramic metal halide lamp, the light intensity of at least the first, second and third preset characteristic spectral lines collected by the multi-channel photoelectric sensor, and the real-time chromaticity coordinates collected by the chromaticity sensor; based on the state space model with the cumulative lighting time as a parameter, use the Kalman filter to estimate the cumulative amount of electrode evaporation and the amount of lamp tube wall transmittance decay as aging state quantities online, taking the real-time chromaticity coordinates and the light intensity of the preset characteristic spectral lines as observations. The voltage across the lamp tube and the current flowing through the lamp tube are sampled by a resistor divider network connected in parallel with the lamp tube and a Hall sensor, respectively. An optical probe integrating a multi-channel photodiode array and a CIE colorimetric sensor is set near the lamp tube. Narrow-band filters with center wavelengths of 589nm, 546nm and 421nm are respectively configured in front of each channel of the photodiode array to collect the light intensity information of sodium, mercury and dysprosium atoms as the first, second and third preset characteristic spectral lines. The CIE colorimetric sensor outputs real-time xy colorimetric coordinate values.

[0011] A state-space equation is established with the state vector representing the cumulative electrode evaporation and the combined transmittance of the tube wall. The state transition equation linearly combines the state variables from the previous moment with the cumulative illumination time increment from that moment to the current moment to predict the state variables at the current moment. An observation equation is also established, which is a function representing the relationship between electrode evaporation and tube wall transmittance and the xy chromaticity coordinates, as well as the light intensities of the sodium, mercury, and dysprosium spectral lines. An extended Kalman filter algorithm is used to fuse the predicted values ​​from the state transition equation with the correction values ​​calculated based on the observation equation and real-time measurements. This iterative update outputs the optimal estimate of the attenuation of electrode evaporation and tube wall transmittance. (See [link to relevant documentation]). Figure 2 .

[0012] In an optional embodiment, the online estimation of the cumulative electrode evaporation and the decrease in lamp tube wall transmittance, as quantities of aging status, includes: Establish a state equation with the cumulative evaporation of the electrode and the attenuation of the tube wall transmittance as state variables and the cumulative lighting time increment of the lamp tube as input. Establish an observation equation with the real-time chromaticity coordinates and the light intensity of the preset characteristic spectral lines as the observation quantities; The state variables are estimated online by utilizing the prediction and update steps of the Kalman filter, combined with the state equation and the observation equation.

[0013] Specifically, a state vector representing the lamp aging process is defined, which consists of two core aging indicators: the cumulative amount of electrode evaporation. and the attenuation of light transmittance of the tube wall The state equation model represents how the two state variables evolve over time. For example, the state equation can be presented in discrete form. , where the state vector ,enter The cumulative lighting time increment of the lamps from time step k to k+1 Matrix A is the identity matrix, representing the cumulative aging process, while matrix B contains the aging rate derived from physical models or empirical data. For example... ,in Evaporation rate, expressed in milligrams per hour. This represents the transmittance decay rate, expressed as a percentage per hour. It is process noise, representing the uncertainty of the model.

[0014] Observation vector This can include real-time chromaticity coordinates , And the light intensity of a certain preset characteristic spectral line, such as the 546nm spectral line of mercury. The observation equation is: , where h is a function that represents how the electrode evaporation rate and the degree of tube wall blackening jointly affect the spectral output and colorimetric performance of the lamp tube. It measures noise. Using the Kalman filter algorithm, at each time step, the aging state at the next moment is predicted through the state equation, and the new measured values ​​are used... The prediction is corrected using observation equations. This process iterates continuously to achieve real-time tracking of the lamp's aging status.

[0015] In an optional embodiment, the function h is established by selecting a batch of nano-ceramic metal halide lamp samples of the same specifications and conducting systematic accelerated aging tests on a controllable experimental platform. During the tests, through periodic interruption experiments, a combination of destructive testing and non-destructive optical measurements is used to calibrate the cumulative electrode evaporation of each sample under different cumulative working times and power conditions. Attenuation of light transmittance from the tube wall The truth value of the value. Simultaneously, before and after each interruption, the lamp is operated stably under standard rated conditions, and the light intensity data of the three characteristic spectral lines collected by the multi-channel photoelectric sensor and the xy chromaticity coordinates collected by the chromaticity sensor are recorded synchronously. Thus, a dataset covering different aging states from new lamp to the end of its lifespan is constructed, the dataset being (… ) as input features, with ( The output label is denoted as . A multilayer perceptron neural network is constructed. The input layer receives a 2D state vector, connecting to three hidden layers. Each hidden layer contains 32 neurons and uses the ReLU activation function. Weights are initialized using He normal distribution and batch normalization layers are added between layers. The output layer consists of 5 neurons with linear activation. The training process uses the mean squared error loss function and the Adam optimizer, with cross-validation to prevent overfitting. After training, the weights and structure of the resulting neural network are fixed, forming the observation function h.

[0016] S2, During the ignition transition phase of the lamp tube, the target ratio curve is adjusted according to the cumulative amount of electrode evaporation, and the slope of the increase in lamp tube output power is adjusted according to the deviation between the ratio of the light intensity of the first preset characteristic spectrum line and the light intensity of the second preset characteristic spectrum line and the adjusted target ratio curve. A baseline target ratio curve is pre-stored, representing the ideal trajectory of the sodium-mercury spectral intensity ratio changing over time during the initial ignition phase of a new lamp. Based on the online estimated cumulative electrode evaporation, the time axis of the baseline curve is scaled; the greater the evaporation, the smoother the curve becomes on the time axis, forming an adjusted target ratio curve. For example, the system pre-stores a baseline target ratio curve. This curve characterizes the ratio of sodium to mercury spectral intensity as a function of time when a new lamp is started up under standard conditions. The ideal trajectory of change. Real-time electrode evaporation accumulation obtained based on online estimation using a Kalman filter. A nonlinear scaling transformation is applied to the time axis of the baseline curve to generate an adaptive target ratio curve suitable for the current aging state. The scaling transformation is as follows: The scaling factor ,coefficient By conducting ignition experiments on lamps with different aging levels, the optimal ignition time was obtained through fitting. The relationship was obtained after calibration. The greater the cumulative amount of electrode evaporation, the less material emitted by the electrode, and the longer the thermalization time required for the plasma to reach the same radiation state. Therefore, the reference time axis needs to be lengthened to make the target ratio curve smoother in the time dimension, guiding the controller to adopt a smoother power ramp rate.

[0017] During the ignition process, the actual ratio of the sodium-mercury spectral intensity is calculated in real time and compared with the target value on the adjusted target ratio curve at the same moment. The deviation between the two is input into a proportional-integral controller. The controller's output is used to adjust the watt-per-second increment of the drive circuit's output power, i.e., the power increment slope. Figure 3 .

[0018] In an optional embodiment, adjusting the ramp rate of the lamp output power includes: Based on the cumulative amount of electrode evaporation, select a target ratio curve that matches the current aging state; The incremental slope is adjusted by a proportional-integral controller based on the deviation between the measured ratio of the light intensity of the first preset characteristic spectral line and the light intensity of the second preset characteristic spectral line and the target ratio curve.

[0019] Multiple target ratio curves are pre-stored, each corresponding to a specific aging stage of the lamp. For example, based on the cumulative evaporation of the electrodes. The aging of lamps is classified into three levels, with each level corresponding to... Less than 1mg, corresponding to level two Between 1mg and 3mg, level three corresponds to... Greater than 3mg. Each level has its own target ratio curve, such as... , , The curve defines the intensity of a first preset characteristic spectral line, such as the mercury spectral line, at different power P. The intensity of the second preset characteristic spectral line, such as metal halide spectral lines. The ideal ratio. When the online estimation module determines that the current cumulative electrode evaporation is 1.8 mg, the target ratio curve corresponding to level two is selected. This serves as the control objective for the startup process.

[0020] During the power ramp-up phase of the lamp startup, the controller collects the light intensity of the two spectral lines in real time and calculates the measured ratio. Simultaneously, based on the current instantaneous power P(t), from the selected target ratio curve... Find the corresponding target ratio in the middle The deviation between the two The input is fed into a proportional-integral (PI) controller. The output of this controller is used to adjust the power ramp rate S(t). The control law can be expressed as follows: If the measured ratio is lower than the target value, it indicates that the metal halide evaporation is insufficient, and the controller will increase the slope to accelerate the heating; conversely, it will decrease the slope to control the evaporation process, optimize start-up performance, and reduce electrode wear.

[0021] Optionally, multiple pre-stored target ratio curves are obtained by selecting 30 brand-new nano-ceramic metal halide lamps of the same specifications, dividing them into three groups, and aging them on a controllable accelerated aging platform: aging is accelerated by high temperature and high frequency start-stop conditions, and the lamp tubes are periodically disassembled to measure the electrode mass difference using an electronic balance, thereby obtaining the cumulative electrode evaporation. <1mg, 1mg≤ ≤3mg Three groups of aging samples with a concentration >3mg were used. Each group of samples was sequentially installed on a standard test bench. A programmable constant power drive was used, and 20 uniform power points were established from the critical power to the rated power. After each power point was stably operated for 15 minutes, the light intensity was collected by a multi-channel photoelectric sensor equipped with 546nm and 421nm narrowband filters. and Calculate the measured ratio For each sample of 20 data points, a cubic polynomial curve was fitted using the least squares method to ensure a goodness of fit R² ≥ 0.98, yielding the results for level one. Level 2 Level 3 Complete the calibration of the target ratio curve.

[0022] S31, During the stable operation phase of the lamp tube, the amplitude threshold for acoustic resonance determination is set according to the attenuation of the tube wall transmittance. Joint spectrum analysis is performed on the high-frequency ripple of the lamp tube voltage and the fluctuation of the light intensity of the third preset characteristic spectral line. When a related energy peak exceeding the amplitude threshold is detected at the same frequency point, acoustic resonance is determined to occur, and a sweep frequency perturbation signal is superimposed on the square wave fundamental frequency driving the lamp tube. The reference amplitude threshold for acoustic resonance determination is a preset constant. Dividing this constant by the online estimated attenuation of tube wall transmittance yields the actual amplitude threshold under the current operating conditions. The controller synchronously acquires the lamp voltage signal and extracts high-frequency ripple through a high-pass filter, while simultaneously acquiring the dysprosium spectral intensity signal. Fast Fourier transforms are performed on the two signals. The spectra of the two signals are compared one by one. If there is a common frequency point in the frequency range of 1kHz to 200kHz, and the energy peaks of the voltage ripple and the light intensity fluctuation both exceed their respective actual amplitude thresholds at this frequency point, then acoustic resonance is determined to have occurred. Once acoustic resonance is determined to have occurred, a micro-amplitude sweep frequency signal with a periodic linear variation between 100Hz and 400Hz is superimposed on the fundamental frequency of the square wave output by the drive inverter.

[0023] In an optional embodiment, setting the amplitude threshold for acoustic resonance determination based on the attenuation of the tube wall transmittance includes: Based on the basic amplitude threshold And based on the online estimated attenuation of tube wall transmittance. The amplitude threshold is calculated using the following formula. : Wherein, k is a preset positive definite coefficient, which makes the amplitude threshold decrease monotonically as the light transmittance of the tube wall decreases.

[0024] Specifically, to ensure that acoustic resonance can be detected throughout the entire lifespan of the lamp, the detection amplitude threshold needs to be adjusted. A baseline amplitude threshold suitable for a brand new lamp should be set. For example, the normalized light intensity fluctuation range is set to 0.5 units based on experimental data. At the same time, a positive definite coefficient k is preset, for example, k=1.5, which determines the rate at which the threshold decreases with the degree of aging.

[0025] During lamp operation, the attenuation of tube wall transmittance is obtained in real time through an online estimation module. For example, in the initial stage of lamp operation, The calculated amplitude threshold is close to 0. Approximately That is, 0.5. After the lamp has been running for 5000 hours, the online estimate is... Increasing it to 0.2 means the light transmittance decreases by 20%. This value is then used to update the threshold using a formula. The lowered threshold makes it sensitive to weak signal fluctuations, thus enabling the detection of attenuated acoustic resonance signals in blackened lamp tubes and avoiding missed detections due to excessively high thresholds.

[0026] In an optional embodiment, the joint spectral analysis of the high-frequency ripple of the lamp voltage and the fluctuation of the intensity of the third preset characteristic spectral line includes: High-pass filtering is performed on the lamp voltage to extract high-frequency ripple; Fast Fourier transforms are performed on the fluctuations of the high-frequency ripple and the intensity of the third preset characteristic spectral line, respectively. When both spectra show energy peaks exceeding the amplitude threshold at the same frequency point, they are determined to be related energy peaks.

[0027] In the electrical path, the operating voltage signal across the lamp is acquired; this signal consists of the fundamental frequency of the driving square wave. Since acoustic resonance manifests as high-frequency oscillations superimposed on the fundamental wave, a digital high-pass filter is used, for example, with a cutoff frequency set to 10kHz, to filter out low-frequency driving components, thereby extracting the pure high-frequency voltage ripple signal. The signal reflects the instability of the plasma.

[0028] Along the optical path, a photoelectric sensor is used to monitor the intensity of a specific and stable third preset characteristic spectral line, such as the xenon spectral line at 467 nm, to obtain the light intensity signal. The signal is processed to extract the fluctuation component. For data collected within the same time window and Perform Fast Fourier Transform (FFT) on the two sets of data respectively to obtain their spectra. and Search for energy peaks in both spectra. Only when a frequency point, for example, 42.5 kHz, exhibits energy peaks exceeding their respective amplitude thresholds in both the voltage spectrum and the light intensity fluctuation spectrum is acoustic resonance confirmed at that frequency point. Figure 4 .

[0029] In an optional embodiment, the square wave fundamental frequency superimposed with a frequency sweep perturbation signal for driving the lamp tube includes: Centered on the current square wave fundamental frequency, within a preset frequency sweep range, a periodic perturbation signal is generated according to a preset frequency sweep period, and the signal is added to the square wave fundamental frequency to form a changing target frequency dispersed resonant energy.

[0030] Set a center square wave fundamental frequency, for example Hz, and define a sweep range and sweep period. For example, set the sweep range to fluctuate within 5% above and below the center frequency, i.e. The frequency sweep rate is Hz, and the sweep period is 10ms. A periodic perturbation signal is generated. The signal can be a triangular wave or a sine wave. Taking a triangular wave as an example, within each 10ms period, The value will increase linearly from -20Hz to +20Hz, and then decrease linearly back to -20Hz.

[0031] The perturbation signal Real-time superimposition onto the center baseband Above, the target frequency for driving the inverter output is formed. Therefore, the actual square wave frequency driving the lamp will continuously and rapidly change between 380Hz and 420Hz. The generation of acoustic resonance requires continuous excitation of the driving energy at a specific resonant frequency, thus forming a standing wave. Through the frequency sweeping method, the driving frequency stays at any potential resonant frequency point for a short time, insufficient to establish a strong resonance. The energy is dispersed over a wider frequency band, thus avoiding energy concentration at a single frequency point, achieving the purpose of suppressing and eliminating acoustic resonance.

[0032] S32, select a mapping function that matches the current aging state based on the cumulative amount of electrode evaporation, take the deviation between the real-time chromaticity coordinates and the target chromaticity coordinates as input, output the asymmetry adjustment amount of the driving current used to compensate for color drift through the selected mapping function, and pause updating the adjustment amount when acoustic resonance is determined to occur.

[0033] A function library is stored in memory, containing multiple pre-calibrated polynomial functions. Each function corresponds to an interval of electrode evaporation accumulation, representing the mapping relationship between chromaticity coordinate deviation and drive current asymmetry under this aging state. The controller selects the corresponding polynomial function from the function library based on the online estimated electrode evaporation accumulation. The difference between the real-time acquired chromaticity coordinates and the target chromaticity coordinates (e.g., x = 0.350, y = 0.380) is calculated to obtain deviation values ​​Δx and Δy. These deviation values ​​are used as independent variables and substituted into the selected polynomial function for calculation to obtain the output drive current asymmetry adjustment amount. This adjustment amount is used to fine-tune the conduction time of the upper and lower bridge arms of the full-bridge inverter in the drive circuit, changing the positive and negative half-cycle balance of the current waveform. When the acoustic resonance determination module outputs the acoustic resonance flag, the color drift compensation module immediately stops using the new calculation results to update the asymmetry adjustment amount, keeping the adjustment amount unchanged from the previous moment until the acoustic resonance flag is cleared.

[0034] In an optional embodiment, the polynomial function obtained by fitting experimental data includes: the chromaticity deviation vector is ,in , This represents the difference between the real-time and target chromaticity coordinates. Therefore, for a given aging level, the mapping function is: in, This is the set of polynomial coefficients corresponding to this aging level. These coefficients are obtained through the following experimental calibration steps: selecting lamp samples corresponding to the aging level, and applying a series of known current asymmetries in the laboratory. Measure and record the resulting steady-state colorimetric deviation. ,by For independent variable, Using the least squares method as the dependent variable, regression fitting is performed to obtain the coefficients. The above calibration process is repeated for different aging levels to establish the mapping function library.

[0035] In an optional embodiment, selecting a mapping function that matches the current aging state based on the cumulative electrode evaporation includes: A pre-established correspondence between the cumulative evaporation of the electrode and the mapping function under different aging levels was established; The current aging level is determined based on the online estimated cumulative electrode evaporation, and the corresponding mapping function is selected. The deviation between the real-time chromaticity coordinates and the target chromaticity coordinates is input into the selected function to calculate the asymmetry adjustment of the driving current.

[0036] A function library is pre-built, which stores multiple mapping functions, for example... , , The functions described correspond to the control laws for the lamps at three different aging stages: brand new, middle-aged, and old. The aging level is based on the cumulative electrode evaporation estimated online. It is divided in this way, for example, Less than 1mg is considered brand new, 1mg to 3mg is considered middle-aged, and more than 3mg is considered elderly. Each function defines the range from color deviation. To drive current asymmetry adjustment amount The mapping relationship is such that the function characteristics are optimized to adapt to the response characteristics of electrodes and plasma under different aging conditions.

[0037] During operation, the current cumulative electrode evaporation is obtained from the online estimation module. Assuming The value is 2.1 mg, indicating the lamp is in its middle-aged stage, and a function is selected from the function library. This serves as the mapping function used in the current control cycle. Real-time chromaticity coordinates are measured, and the deviation between these real-time chromaticity coordinates and the target chromaticity coordinates is calculated. The deviation value Substitute the selected function as input Calculate the required current asymmetry adjustment amount. For example, for a moderate degree of deviation, the function of a brand new light bulb... It might output a large adjustment value to achieve rapid correction, while the function for elderly-friendly light bulbs... It may output a small adjustment amount to make adjustments in a gentle way, avoiding excessive impact on the fragile aging electrodes.

[0038] In the second embodiment, the present invention also proposes an intelligent control system for a nano-ceramic metal halide lamp, comprising the following modules: The estimation module is used to acquire the lamp tube voltage and lamp tube current of the nano-ceramic metal halide lamp, the light intensity of at least the first, second and third preset characteristic spectral lines collected by the multi-channel photoelectric sensor, and the real-time chromaticity coordinates collected by the chromaticity sensor; based on the state space model with the cumulative lighting time as a parameter, using the Kalman filter, the real-time chromaticity coordinates and the light intensity of the preset characteristic spectral lines are used as observations to estimate the cumulative amount of electrode evaporation and the amount of lamp tube wall transmittance decay as aging state quantities online; The ignition adjustment module is used to adjust the target ratio curve according to the cumulative evaporation of the electrode during the ignition transition phase of the lamp tube, and to adjust the increasing slope of the lamp tube output power according to the deviation between the ratio of the light intensity of the first preset characteristic spectrum line and the light intensity of the second preset characteristic spectrum line and the adjusted target ratio curve. The stabilization adjustment module is used to set an amplitude threshold for acoustic resonance determination based on the attenuation of tube wall transmittance during the stable operation phase of the lamp tube. It performs joint spectrum analysis on the high-frequency ripple of the lamp tube voltage and the fluctuation of the light intensity of the third preset characteristic spectral line. When a related energy peak exceeding the amplitude threshold is detected at the same frequency point, acoustic resonance is determined to have occurred, and a sweep frequency perturbation signal is superimposed on the square wave fundamental frequency driving the lamp tube. During the stable operation phase of the lamp tube, a mapping function matching the current aging state is selected based on the cumulative amount of electrode evaporation. The deviation between the real-time chromaticity coordinates and the target chromaticity coordinates is used as input. The selected mapping function outputs an adjustment amount for the asymmetry of the driving current used to compensate for color drift, and the adjustment amount is paused when acoustic resonance is determined to have occurred.

[0039] In an optional embodiment, the online estimation of the cumulative electrode evaporation and the decrease in lamp tube wall transmittance, as quantities of aging status, includes: Establish a state equation with the cumulative evaporation of the electrode and the attenuation of the tube wall transmittance as state variables and the cumulative lighting time increment of the lamp tube as input. Establish an observation equation with the real-time chromaticity coordinates and the light intensity of the preset characteristic spectral lines as the observation quantities; The state variables are estimated online by utilizing the prediction and update steps of the Kalman filter, combined with the state equation and the observation equation.

[0040] In an optional embodiment, adjusting the ramp rate of the lamp output power includes: Based on the cumulative amount of electrode evaporation, select a target ratio curve that matches the current aging state; The incremental slope is adjusted by a proportional-integral controller based on the deviation between the measured ratio of the light intensity of the first preset characteristic spectral line and the light intensity of the second preset characteristic spectral line and the target ratio curve.

[0041] In an optional embodiment, setting the amplitude threshold for acoustic resonance determination based on the attenuation of the tube wall transmittance includes: Based on the basic amplitude threshold And based on the online estimated attenuation of tube wall transmittance. The amplitude threshold is calculated using the following formula. : Wherein, k is a preset positive definite coefficient, which makes the amplitude threshold decrease monotonically as the light transmittance of the tube wall decreases.

[0042] In an optional embodiment, the joint spectral analysis of the high-frequency ripple of the lamp voltage and the fluctuation of the intensity of the third preset characteristic spectral line includes: High-pass filtering is performed on the lamp voltage to extract high-frequency ripple; Fast Fourier transforms are performed on the fluctuations of the high-frequency ripple and the intensity of the third preset characteristic spectral line, respectively. When both spectra show energy peaks exceeding the amplitude threshold at the same frequency point, they are determined to be related energy peaks.

[0043] In an optional embodiment, the square wave fundamental frequency superimposed with a frequency sweep perturbation signal for driving the lamp tube includes: Centered on the current square wave fundamental frequency, within a preset frequency sweep range, a periodic perturbation signal is generated according to a preset frequency sweep period, and the signal is added to the square wave fundamental frequency to form a changing target frequency dispersed resonant energy.

[0044] In an optional embodiment, selecting a mapping function that matches the current aging state based on the cumulative electrode evaporation includes: A pre-established correspondence between the cumulative evaporation of the electrode and the mapping function under different aging levels was established; The current aging level is determined based on the online estimated cumulative electrode evaporation, and the corresponding mapping function is selected. The deviation between the real-time chromaticity coordinates and the target chromaticity coordinates is input into the selected function to calculate the asymmetry adjustment of the driving current.

[0045] It should be clarified that this application is not limited to the specific configurations and processes described above and shown in the figures. For the sake of brevity, detailed descriptions of known methods are omitted here. In the above embodiments, several specific steps are described and shown as examples. However, the method process of this application is not limited to the specific steps described and shown. Those skilled in the art can make various changes, modifications, and additions, or change the order of steps, after understanding the spirit of this application.

[0046] The functional modules shown in the above-described block diagram can be implemented as hardware, software, firmware, or a combination thereof. When implemented in hardware, they can be, for example, electronic circuits, application-specific integrated circuits (ASICs), appropriate firmware, plug-ins, function cards, etc. When implemented in software, the elements of this application are programs or code segments used to perform the required tasks. Programs or code segments can be stored on a machine-readable medium or transmitted over a transmission medium or communication link via data signals carried on a carrier wave. "Machine-readable medium" can include any medium capable of storing or transmitting information. Examples of machine-readable media include electronic circuits, semiconductor memory devices, ROM, flash memory, erasable ROM (EROM), floppy disks, CD-ROMs, optical disks, hard disks, fiber optic media, radio frequency (RF) links, etc. Code segments can be downloaded via computer networks such as the Internet, intranets, etc.

[0047] It should also be noted that the exemplary embodiments mentioned in this application describe methods or systems based on a series of steps or apparatus. However, this application is not limited to the order of the above steps; that is, the steps can be performed in the order mentioned in the embodiments, or in a different order, or several steps can be performed simultaneously.

[0048] The aspects of this application have been described above with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It should be understood that each block in the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing apparatus to produce a machine such that these instructions, executable via the processor of the computer or other programmable data processing apparatus, enable the implementation of the functions / actions specified in one or more blocks of the flowchart illustrations and / or block diagrams. Such a processor can be, but is not limited to, a general-purpose processor, a special-purpose processor, a special application processor, or a field-programmable logic circuit. It is also understood that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can also be implemented by dedicated hardware performing the specified functions or actions, or can be implemented by a combination of dedicated hardware and computer instructions.

[0049] The above description is merely a specific implementation of this application. Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems, modules, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here. It should be understood that the protection scope of this application is not limited thereto. Any person skilled in the art can easily conceive of various equivalent modifications or substitutions within the technical scope disclosed in this application, and these modifications or substitutions should all be covered within the protection scope of this application.

Claims

1. A smart control method for a nano-ceramic metal halide lamp, characterized in that, include: The lamp tube voltage and lamp tube current of the nano-ceramic metal halide lamp are obtained, the light intensity of at least the first, second and third preset characteristic spectral lines are collected by a multi-channel photoelectric sensor, and the real-time chromaticity coordinates are collected by a chromaticity sensor. Based on the state-space model with cumulative lighting time as a parameter, a Kalman filter is used to estimate the cumulative amount of electrode evaporation and the attenuation of lamp tube wall transmittance as aging state quantities by using the real-time chromaticity coordinates and the light intensity of the preset characteristic spectral lines as observations. During the ignition transition phase of the lamp tube, the target ratio curve is adjusted according to the cumulative amount of electrode evaporation, and the increasing slope of the lamp tube output power is adjusted according to the deviation between the ratio of the light intensity of the first preset characteristic spectrum line and the light intensity of the second preset characteristic spectrum line and the adjusted target ratio curve. During the stable operation phase of the lamp tube, an amplitude threshold for acoustic resonance determination is set according to the attenuation of the tube wall transmittance. Joint spectrum analysis is performed on the high-frequency ripple of the lamp tube voltage and the fluctuation of the light intensity of the third preset characteristic spectral line. When a related energy peak exceeding the amplitude threshold is detected at the same frequency point, acoustic resonance is determined to occur, and a sweep frequency perturbation signal is superimposed on the square wave fundamental frequency driving the lamp tube. Based on the cumulative amount of electrode evaporation, a mapping function matching the current aging state is selected. The deviation between the real-time chromaticity coordinates and the target chromaticity coordinates is used as input. The selected mapping function outputs the asymmetry adjustment amount of the driving current used to compensate for color drift. When acoustic resonance is detected, the update of the adjustment amount is paused.

2. The method according to claim 1, characterized in that, The online estimation of the cumulative electrode evaporation and the decrease in lamp tube wall transmittance, which are considered as aging state parameters, includes: Establish a state equation with the cumulative evaporation of the electrode and the attenuation of the tube wall transmittance as state variables and the cumulative lighting time increment of the lamp tube as input. Establish an observation equation with the real-time chromaticity coordinates and the light intensity of the preset characteristic spectral lines as the observation quantities; The state variables are estimated online by utilizing the prediction and update steps of the Kalman filter, combined with the state equation and the observation equation.

3. The method according to claim 1, characterized in that, The adjustment of the ramp rate of the lamp output power includes: Based on the cumulative amount of electrode evaporation, select a target ratio curve that matches the current aging state; The incremental slope is adjusted by a proportional-integral controller based on the deviation between the measured ratio of the light intensity of the first preset characteristic spectral line and the light intensity of the second preset characteristic spectral line and the target ratio curve.

4. The method according to claim 1, characterized in that, The step of setting the amplitude threshold for acoustic resonance determination based on the attenuation of the tube wall transmittance includes: Based on the basic amplitude threshold And based on the online estimated attenuation of tube wall transmittance. The amplitude threshold is calculated using the following formula. : Wherein, k is a preset positive definite coefficient, which makes the amplitude threshold decrease monotonically as the light transmittance of the tube wall decreases.

5. The method according to claim 1, characterized in that, The joint spectral analysis of the high-frequency ripple of the lamp voltage and the fluctuation of the intensity of the third preset characteristic spectral line includes: High-pass filtering is performed on the lamp voltage to extract high-frequency ripple; Fast Fourier transforms are performed on the fluctuations of the high-frequency ripple and the intensity of the third preset characteristic spectral line, respectively. When both spectra show energy peaks exceeding the amplitude threshold at the same frequency point, they are determined to be related energy peaks.

6. The method according to claim 1, characterized in that, The square wave fundamental frequency superimposed with a frequency sweep perturbation signal for driving the lamp tube includes: Centered on the current square wave fundamental frequency, within a preset frequency sweep range, a periodic perturbation signal is generated according to a preset frequency sweep period, and the signal is added to the square wave fundamental frequency to form a changing target frequency dispersed resonant energy.

7. The method according to claim 1, characterized in that, The step of selecting a mapping function that matches the current aging state based on the cumulative amount of electrode evaporation includes: A pre-established correspondence between the cumulative evaporation of the electrode and the mapping function under different aging levels was established; The current aging level is determined based on the online estimated cumulative electrode evaporation, and the corresponding mapping function is selected. The deviation between the real-time chromaticity coordinates and the target chromaticity coordinates is input into the selected function to calculate the asymmetry adjustment of the driving current.

8. An intelligent control system for a nano-ceramic metal halide lamp, characterized in that, Includes the following modules: The estimation module is used to obtain the lamp tube voltage and lamp tube current of the nano-ceramic metal halide lamp, the light intensity of at least the first, second and third preset characteristic spectral lines collected by the multi-channel photoelectric sensor, and the real-time chromaticity coordinates collected by the chromaticity sensor. Based on the state-space model with cumulative lighting time as a parameter, a Kalman filter is used to estimate the cumulative amount of electrode evaporation and the attenuation of lamp tube wall transmittance as aging state quantities by using the real-time chromaticity coordinates and the light intensity of the preset characteristic spectral lines as observations. The ignition adjustment module is used to adjust the target ratio curve according to the cumulative evaporation of the electrode during the ignition transition phase of the lamp tube, and to adjust the increasing slope of the lamp tube output power according to the deviation between the ratio of the light intensity of the first preset characteristic spectrum line and the light intensity of the second preset characteristic spectrum line and the adjusted target ratio curve. The stabilization adjustment module is used to set the amplitude threshold for acoustic resonance determination based on the attenuation of the tube wall transmittance during the stable operation phase of the lamp tube. It performs joint spectrum analysis on the high-frequency ripple of the lamp tube voltage and the fluctuation of the light intensity of the third preset characteristic spectral line. When a related energy peak exceeding the amplitude threshold is detected at the same frequency point, it determines that acoustic resonance has occurred and superimposes a sweep frequency perturbation signal on the square wave fundamental frequency driving the lamp tube. Based on the cumulative amount of electrode evaporation, a mapping function matching the current aging state is selected. The deviation between the real-time chromaticity coordinates and the target chromaticity coordinates is used as input. The selected mapping function outputs the asymmetry adjustment amount of the driving current used to compensate for color drift. When acoustic resonance is detected, the update of the adjustment amount is paused.

9. The system according to claim 8, characterized in that, The online estimation of the cumulative electrode evaporation and the decrease in lamp tube wall transmittance, which are considered as aging state parameters, includes: Establish a state equation with the cumulative evaporation of the electrode and the attenuation of the tube wall transmittance as state variables and the cumulative lighting time increment of the lamp tube as input. Establish an observation equation with the real-time chromaticity coordinates and the light intensity of the preset characteristic spectral lines as the observation quantities; The state variables are estimated online by utilizing the prediction and update steps of the Kalman filter, combined with the state equation and the observation equation.

10. A computer-readable storage medium storing a computer program thereon, characterized in that, The computer program, when executed by a processor, implements the method as described in any one of claims 1-7.

Images