Testing Method and Device for Digital Light Source Controller

Abstract

The present invention relates to the technical field of optical elements, and provides a test method and device for a digital light source controller, including obtaining light source signal data and control instruction data of the digital light source controller, performing synchronization processing on the light source signal data to obtain a light source feature sequence, matching the light source feature sequence with the control instruction data to obtain a light source response mapping relationship, decomposing the light source response mapping relationship to obtain an error correction matrix and a dynamic regulation matrix, and then generating a light source regulation optimization strategy, and generating a light source test result according to the light source regulation optimization strategy. By performing synchronization processing and matching analysis on the light source signal data and control instruction data of the digital light source controller, a light source test result is generated, improving the accuracy and reliability of light source signal data processing, and improving the problem that in the face of complex scenarios, the test results of the prior art are difficult to accurately reflect the actual response ability of the light source, and there are problems of insufficient accuracy or limited optimization effect.

Description

Technical Field

[0001] This application relates to the technical field of optical elements, and in particular, to a test method and device for a digital light source controller. Background Art

[0002] In recent years, with the rapid development of digital technology and intelligent control technology, digital light source controllers have been widely used in fields such as display, lighting, and communication. Digital light source controllers play an important role in improving light source performance, energy conservation and emission reduction, and meeting personalized needs, and have become an indispensable part of modern technology and industry. With the growth of market demand, higher requirements are put forward for the performance testing and optimization of digital light source controllers.

[0003] In related technical means, the test method of a digital light source controller mainly collects the response data of the light source through a standardized test device, and analyzes the light source signal in combination with a preset test process. Usually, a combination of static and dynamic tests is used to evaluate parameters such as the power, color temperature, uniformity, and response speed of the light source. Through this method, a basic evaluation of the light source performance can be achieved, so as to ensure that the product meets the design requirements and user needs.

[0004] Regarding the above technical solution, although the performance of the light source can be relatively comprehensively evaluated through static and dynamic test methods, in the face of complex scenarios, the test results of the existing technology are difficult to accurately reflect the actual response ability of the light source, and there are problems of insufficient accuracy or limited optimization effect. Summary of the Invention

[0005] In order to improve the problem that in the face of complex scenarios, the test results of the existing technology are difficult to accurately reflect the actual response ability of the light source, and there are problems of insufficient accuracy or limited optimization effect, this application provides a test method and device for a digital light source controller.

[0006] The present invention provides a test method for a digital light source controller, including: obtaining the light source signal data and control instruction data of the digital light source controller, synchronizing the light source signal data to obtain a light source feature sequence, matching the light source feature sequence with the control instruction data to obtain a light source response mapping relationship; decomposing the light source response mapping relationship to obtain light source dynamic characteristic parameters and light source static characteristic parameters, using the light source dynamic characteristic parameters and the light source static characteristic parameters to adjust the light source feature sequence to obtain a target optimized light source sequence; calculating the target optimized light source sequence to obtain an error correction value, using the error correction value to perform feature conversion on the light source signal data to obtain a normalized feature vector, and performing dimensionality reduction on the normalized feature vector to obtain an error correction matrix and a dynamic regulation matrix; using the error correction matrix to calculate the light source response mapping relationship to obtain a light source compensation signal, using the dynamic regulation matrix to adjust the regulation parameters of the digital light source controller to obtain light source dynamic adjustment parameters; calculating the light source dynamic adjustment parameters using the light source compensation signal to obtain a light source regulation optimization strategy, and generating a light source test result according to the light source regulation optimization strategy.

[0007] As a preferred solution, the steps of obtaining the light source signal data and control instruction data of the digital light source controller, synchronizing the light source signal data to obtain a light source feature sequence, and matching the light source feature sequence with the control instruction data to obtain a light source response mapping relationship include: obtaining the light source signal data and control instruction data of the digital light source controller, performing time synchronization processing on the light source signal data to obtain time index data, using the time index data to perform amplitude segmentation processing on the light source signal data to obtain a light source amplitude sequence and a light source change sequence; performing statistical analysis on the light source change sequence to obtain a light source stability parameter and a light source jitter parameter, using the light source stability parameter to perform mapping conversion on the light source amplitude sequence to obtain a light source feature sequence; using the light source jitter parameter to perform error calibration on the light source feature sequence to obtain a calibrated light source feature sequence and calibration error information; performing correlation matching on the control instruction data based on the calibrated light source feature sequence to obtain light source response data, and performing fusion analysis on the light source response data and the calibration error information to obtain a light source response mapping relationship.

[0008] As a preferred solution, the step of decomposing the light source response mapping relationship to obtain the light source dynamic characteristic parameters and the light source static characteristic parameters, and using the light source dynamic characteristic parameters and the light source static characteristic parameters to adjust the light source characteristic sequence to obtain the target optimized light source sequence includes: performing feature decomposition on the light source response mapping relationship to obtain the light source dynamic characteristic parameters and the light source static characteristic parameters, performing time-domain analysis on the light source dynamic characteristic parameters to obtain the light source modulation parameters and the light source delay parameters; using the light source modulation parameters and the light source delay parameters to perform time adjustment on the light source characteristic sequence to obtain the time-sequence optimized light source characteristic sequence; performing frequency-domain analysis on the light source static characteristic parameters to obtain the light source power parameters and the light source energy parameters, using the light source power parameters and the light source energy parameters to perform amplitude adjustment on the time-sequence optimized light source characteristic sequence to obtain the power-optimized light source characteristic sequence and the amplitude adjustment information; using the amplitude adjustment information to perform error correction on the light source response mapping relationship to obtain the light source error parameters, and performing error compensation on the power-optimized light source characteristic sequence based on the light source error parameters to obtain the target optimized light source sequence.

[0009] As a preferred solution, the step of using the light source modulation parameters and the light source delay parameters to perform time adjustment on the light source characteristic sequence to obtain the time-sequence optimized light source characteristic sequence includes: performing spectral decomposition on the light source modulation parameters to obtain the modulation component data, performing time compensation calculation on the modulation component data to obtain the compensated modulation component and the compensation adjustment factor, using the compensation adjustment factor to perform phase synchronization processing on the light source characteristic sequence to obtain the phase-corrected light source characteristic sequence; performing time-domain filtering calculation on the light source delay parameters to obtain the delay correction data, using the delay correction data to perform time realignment on the phase-corrected light source characteristic sequence to obtain the time-optimized light source characteristic sequence and the time correction vector; using the time correction vector to perform dynamic adjustment on the compensated modulation component to obtain the dynamically modulated light source characteristic sequence, and performing amplitude normalization processing on the dynamically modulated light source characteristic sequence to obtain the time-sequence optimized light source characteristic sequence.

[0010] As a preferred solution, the steps of calculating an error correction value for the target optimized light source sequence, using the error correction value to perform feature transformation on the light source signal data to obtain a normalized feature vector, and performing dimensionality reduction on the normalized feature vector to obtain an error correction matrix and a dynamic regulation matrix include: performing statistical normalization processing on the target optimized light source sequence to obtain a light source normalization parameter and a light source error distribution parameter, using the light source normalization parameter to perform error equalization calculation on the light source error distribution parameter to obtain an error correction value; using the error correction value to perform feature transformation on the light source signal data to obtain a normalized feature vector, performing dimensionality reduction processing on the normalized feature vector to obtain a light source feature subspace and an error information matrix; using the error information matrix to perform distribution optimization on the light source feature subspace to obtain an error correction matrix, and performing weight calculation on the error correction matrix to obtain a dynamic regulation matrix.

[0011] As a preferred solution, the steps of calculating a light source compensation signal by using the error correction matrix for the light source response mapping relationship and adjusting the regulation parameters of the digital light source controller by using the dynamic regulation matrix to obtain a light source dynamic adjustment parameter include: performing error compensation calculation on the light source response mapping relationship by using the error correction matrix to obtain a light source compensation signal and a compensation adjustment vector, dynamically adjusting the regulation parameters of the digital light source controller by using the compensation adjustment vector to obtain an adjustment coefficient; optimizing the amplitude of the light source compensation signal by using the adjustment coefficient to obtain an optimized light source compensation signal and phase correction data, and performing fusion calculation on the optimized light source compensation signal and the phase correction data to obtain a light source dynamic adjustment parameter.

[0012] As a preferred solution, the steps of calculating a light source regulation optimization strategy by using the light source compensation signal for the light source dynamic adjustment parameter and generating a light source test result according to the light source regulation optimization strategy include: performing joint optimization calculation by using the light source compensation signal and the light source dynamic adjustment parameter to obtain a light source optimization control factor and a light source feedback parameter, performing non-linear mapping calculation on the light source optimization control factor to obtain a light source regulation optimization strategy; performing comprehensive calculation on the light source feedback parameter based on the light source regulation optimization strategy to obtain light source stability data and light source output characteristic parameters, and generating a light source test result according to the light source stability data and the light source output characteristic parameters.

[0013] The present application also provides a test device for a digital light source controller, including: an acquisition module, configured to acquire the light source signal data and control instruction data of the digital light source controller, synchronize the light source signal data to obtain a light source feature sequence, match the light source feature sequence with the control instruction data to obtain a light source response mapping relationship; a decomposition module, configured to decompose the light source response mapping relationship to obtain light source dynamic characteristic parameters and light source static characteristic parameters, and adjust the light source feature sequence by using the light source dynamic characteristic parameters and the light source static characteristic parameters to obtain a target optimized light source sequence; a conversion module, configured to calculate the target optimized light source sequence to obtain an error correction value, perform feature conversion on the light source signal data by using the error correction value to obtain a normalized feature vector, and perform dimensionality reduction on the normalized feature vector to obtain an error correction matrix and a dynamic regulation matrix; a calculation module, configured to calculate the light source response mapping relationship by using the error correction matrix to obtain a light source compensation signal, and adjust the regulation parameters of the digital light source controller by using the dynamic regulation matrix to obtain light source dynamic adjustment parameters; a generation module, configured to calculate the light source dynamic adjustment parameters by using the light source compensation signal to obtain a light source regulation optimization strategy, and generate a light source test result according to the light source regulation optimization strategy.

[0014] Compared with the prior art, the present application has the following beneficial effects: reliable data and high accuracy. By synchronously processing and matching and analyzing the light source signal data and control instruction data of the digital light source controller, decomposing the light source response mapping relationship and optimizing the light source feature sequence, completing the feature conversion and dimensionality reduction of the light source signal data based on the error correction value, generating a light source compensation signal and dynamic adjustment parameters by using the error correction matrix and the dynamic regulation matrix, and generating a light source regulation optimization strategy to obtain a light source test result, the accuracy and reliability of the light source signal data processing are improved, and the problem that in the face of complex scenarios, the test results of the prior art are difficult to accurately reflect the actual response ability of the light source, and there are problems of insufficient accuracy or limited optimization effect is improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0016] The structures, proportions, sizes, etc. depicted in the accompanying drawings of this specification are only used to cooperate with the content disclosed in the specification for those skilled in this technology to understand and read, and are not used to limit the limiting conditions under which the present invention can be implemented. Therefore, they do not have substantial technical significance. Any modification of the structure, change in the proportional relationship, or adjustment of the size, without affecting the effects that the present invention can produce and the purposes that can be achieved, should still fall within the scope covered by the technical content disclosed in the present invention.

[0017] Figure 1 is a schematic flowchart of a test method for a digital light source controller provided by an embodiment of the present invention;

[0018] Figure 2 is a schematic block diagram of the structure of a test device for a digital light source controller provided by an embodiment of the present invention.

[0019] Explanation of reference numerals:

[0020] 10. Test device for digital light source controller; 11. Acquisition module; 12. Decomposition module; 13. Conversion module; 14. Calculation module; 15. Generation module. Detailed implementation manners

[0021] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0022] The flowchart shown in the accompanying drawings is only an example illustration, and does not necessarily include all the content and operations / steps, nor does it necessarily execute in the described order. For example, some operations / steps can also be decomposed, combined, or partially merged. Therefore, the actual execution order may change according to the actual situation.

[0023] It should also be understood that the terms used in the specification of this application are only for the purpose of describing specific embodiments and are not intended to limit this application. As used in the specification of this application and the appended claims, unless the context clearly indicates otherwise, the singular forms of "a", "an", and "the" are intended to include the plural forms.

[0024] It should be further understood that the term " / and" as used in the specification of this application and the appended claims refers to any combination and all possible combinations of one or more of the related listed items, and includes these combinations.

[0025] Next, the technical solutions of the present invention will be further described in conjunction with the accompanying drawings and through specific implementation manners.

[0026] Embodiment 1:

[0027] As Figure 1 shown, the present application provides a test method for a digital light source controller, including steps S100 to S500.

[0028] Step S100: Obtain the light source signal data and control instruction data of the digital light source controller, perform synchronization processing on the light source signal data to obtain a light source feature sequence, and match the light source feature sequence with the control instruction data to obtain a light source response mapping relationship.

[0029] In this step, the light source signal data of the digital light source controller is obtained through a data acquisition module, and the control instruction data is received through a control module. Specifically, signal sampling, filtering, and timing processing are performed on the light source signal data to ensure data integrity and synchronization. The processed light source signal data is converted into a light source feature sequence, and an algorithm model is used to match and analyze the light source feature sequence with the control instruction data, thereby generating a light source response mapping relationship.

[0030] For example, in the display screen test, by collecting the light source brightness data and brightness adjustment instructions, a light source feature sequence is generated after synchronization processing, and a brightness response mapping relationship is established.

[0031] Step S200: Decompose the light source response mapping relationship to obtain light source dynamic characteristic parameters and light source static characteristic parameters, and use the light source dynamic characteristic parameters and light source static characteristic parameters to adjust the light source feature sequence to obtain a target optimized light source sequence.

[0032] The light source response mapping relationship is decomposed into light source dynamic characteristic parameters and light source static characteristic parameters through a mathematical decomposition method. Specifically, the dynamic characteristic parameters reflect the response characteristics of the light source changing with time, while the static characteristic parameters represent the stable characteristics of the light source. These parameters are used to optimize and adjust the light source feature sequence, thereby obtaining a target optimized light source sequence.

[0033] For example, in the intelligent lighting test, the light source dynamic characteristic parameters represent the response speed of the light changing with the ambient light, and the light source static characteristic parameters represent the maximum brightness value of the light. After adjustment, light source error parameters and an optimized light transformation sequence are generated.

[0034] Step S300: Calculate the error correction value for the target optimized light source sequence, use the error correction value to perform feature transformation on the light source signal data to obtain a normalized feature vector, and perform dimensionality reduction on the normalized feature vector to obtain an error correction matrix and a dynamic regulation matrix.

[0035] In this step, by comparing the target optimized light source sequence with the actual light source response sequence, an error parameter is calculated and an error correction value is generated. Specifically, the error correction value is used to perform a mathematical transformation on the light source signal data, map the data into a normalized feature vector, and reduce the dimension of the feature vector through a dimensionality reduction algorithm to generate an error correction matrix and a dynamic regulation matrix.

[0036] For example, in the colored light bulb test, the error correction value can reflect the deviation between the target spectrum and the actual spectrum, and an error correction matrix for adjusting the spectrum and a dynamic regulation matrix for regulating the spectrum are generated through normalization and dimensionality reduction processing.

[0037] Step S400: Calculate the light source compensation signal by using the error correction matrix, and adjust the regulation parameters of the digital light source controller by using the dynamic regulation matrix to obtain the light source dynamic adjustment parameters.

[0038] In this step, a mathematical operation is performed on the light source response mapping relationship in combination with the error correction matrix to generate a light source compensation signal to reduce the influence of errors. Specifically, the regulation parameters of the digital light source controller are optimized by using the dynamic regulation matrix to generate light source dynamic adjustment parameters to meet the requirements of the real-time scenario.

[0039] For example, in the stage lighting test, the light color performance is adjusted through the compensation signal, and the instantaneous response speed of the light is optimized by using the dynamic adjustment parameters.

[0040] Step S500: Calculate the light source regulation optimization strategy by using the light source compensation signal, and generate the light source test result according to the light source regulation optimization strategy.

[0041] In this step, a light source regulation optimization strategy suitable for a specific application scenario is generated by using the light source compensation signal and the dynamic adjustment parameters. Specifically, the light source performance is optimized through the light source regulation optimization strategy, and the light source test result is generated to verify the test effect and the reliability of the solution.

[0042] For example, in the outdoor lighting test, the energy consumption efficiency and the lighting range of the light are improved through the regulation optimization strategy, and the light performance evaluation result is generated.

[0043] In this embodiment, by acquiring the light source signal data and control instruction data of the digital light source controller, the light source signal data is first synchronously processed to generate a light source feature sequence. Then, the light source feature sequence is matched with the control instruction data to establish a light source response mapping relationship, which is decomposed to extract the light source dynamic feature parameters and light source static feature parameters. The above parameters are used to adjust the light source feature sequence to generate a target optimized light source sequence, and the light source error parameters are calculated based on the target optimized light source sequence to generate an error correction value. Subsequently, the error correction value is used to perform feature transformation on the light source signal data to generate a standardized feature vector, and dimensionality reduction analysis is performed on it to obtain an error correction matrix and a dynamic regulation matrix. Finally, the error correction matrix and the dynamic regulation matrix are used to adjust the light source response mapping relationship and the regulation parameters of the digital light source controller respectively, and finally the light source dynamic adjustment parameters are generated, and a light source regulation optimization strategy is generated based on these parameters, so as to output the light source test result.

[0044] By introducing key steps such as decomposition of the light source response mapping relationship, optimization of the light source feature sequence, error correction, and dynamic regulation, not only the processing accuracy of the light source signal data is improved, but also the adaptability to complex scenarios is enhanced. By generating a light source regulation optimization strategy, the dynamic response performance of the light source and the accuracy of light source regulation can be effectively solved, significantly improving the test effect and practical application value of the digital light source controller, and improving the problem that in the face of complex scenarios, the test results of the existing technology are difficult to accurately reflect the actual response ability of the light source, and there are problems of insufficient accuracy or limited optimization effect.

[0045] Embodiment 2:

[0046] In step S100, the light source signal data and control instruction data of the digital light source controller are acquired, time synchronization processing is performed on the light source signal data to obtain time index data, and the light source signal data is segmented by amplitude using the time index data to obtain a light source amplitude sequence and a light source change sequence.

[0047] By using a high-precision time synchronization algorithm to process the light source signal data, it is ensured that the time index of each signal data has a unified standard. Specifically, the original amplitude of the light source signal data is continuously monitored through a data acquisition module, and the light source signal data is dynamically segmented in combination with the time index data to generate a light source amplitude sequence to reflect the transient change characteristics of the light source, and at the same time generate a light source change sequence to represent the trend of the light source signal changing with time.

[0048] For example, in the LED light test, by collecting the real-time brightness value and brightness adjustment instruction of the light, the time index processing is performed on the brightness data using the time synchronization algorithm, so as to obtain the brightness amplitude change sequence and the overall brightness change trend sequence in different time periods.

[0049] Statistically analyze the light source change sequence to obtain the light source stability parameter and the light source jitter parameter. Use the light source stability parameter to perform a mapping transformation on the light source amplitude sequence to obtain the light source feature sequence.

[0050] Through the use of a statistical analysis model to comprehensively analyze the light source change sequence, extract the light source stability parameter to represent the stability of the light source over different time periods, and at the same time extract the light source jitter parameter to reflect the degree of fluctuation of the light source signal. Specifically, combine the light source amplitude sequence and the light source stability parameter, and generate the light source feature sequence through a mapping transformation method to characterize the comprehensive performance of the light source signal.

[0051] For example, in the display screen test, extract the stability parameter by analyzing the screen brightness change sequence, and then use the stability parameter to convert the brightness amplitude data to generate a screen feature sequence with brightness stability characteristics.

[0052] Use the light source jitter parameter to perform error calibration on the light source feature sequence to obtain the calibrated light source feature sequence and the calibration error information.

[0053] Through the correction calculation of the jitter information in the light source feature sequence, eliminate the jitter error in the signal to generate the calibrated light source feature sequence, and at the same time extract the calibration error information to represent the change trend of the error during the calibration process. Specifically, perform dynamic adjustment based on the light source jitter parameter to calibrate the peak characteristics and response stability of the light source feature sequence.

[0054] For example, in the automotive headlight test, extract the light jitter parameter to calibrate the light intensity change of the light feature sequence, generate the corrected light feature sequence, and output the light error calibration information to optimize the accuracy of the light test data.

[0055] Based on the calibrated light source feature sequence, perform an association match on the control instruction data to obtain the light source response data, and perform a fusion analysis on the light source response data and the calibration error information to obtain the light source response mapping relationship.

[0056] Through the association calculation of the calibrated light source feature sequence and the control instruction data, extract the light source response data to reflect the dynamic response characteristics of the light source, and at the same time combine the calibration error information for data fusion analysis to generate the light source response mapping relationship to describe the logical association between the light source signal and the control instruction. Specifically, perform a hierarchical analysis on the light source response data through an algorithm model, and combine the error information to optimize the accuracy of the mapping relationship.

[0057] For example, in the smart home lighting test, generate the light response data through the matching of the light feature sequence and the control instruction data, and analyze and obtain the light response mapping relationship in combination with the error information to describe the dynamic regulation effect of the light.

[0058] In step S200, perform eigen - decomposition on the light - source response mapping relationship to obtain light - source dynamic characteristic parameters and light - source static characteristic parameters. Perform time - domain analysis on the light - source dynamic characteristic parameters to obtain light - source modulation parameters and light - source delay parameters.

[0059] By using the eigen - decomposition algorithm to analyze the light - source response mapping relationship layer by layer, extract light - source dynamic characteristic parameters to characterize the time - sensitivity of the light source, and extract light - source static characteristic parameters to describe the steady - state behavior of the light source. Specifically, perform time - series scanning on the light - source dynamic characteristic parameters through time - domain analysis methods, identify the modulation mode and response - delay characteristics, and thus obtain the light - source modulation parameters and light - source delay parameters respectively. This process ensures the accuracy and usability of the light - source dynamic characteristics.

[0060] For example, in the LED screen test, by analyzing the light - source response mapping relationship, extract the dynamic change data of the screen brightness, and use time - domain analysis to calculate the brightness modulation frequency (light - source modulation parameter) and dimming delay time (light - source delay parameter), so as to accurately characterize the screen response characteristics.

[0061] Use the light - source modulation parameters and light - source delay parameters to perform time adjustment on the light - source characteristic sequence to obtain a time - optimized light - source characteristic sequence.

[0062] By using a modulation - and - delay correction model to perform time adjustment on the light - source characteristic sequence, optimize the time matching of the light - source response. Specifically, recombine the time - frequency spectrum of the characteristic sequence in combination with the light - source modulation parameters, and at the same time apply the light - source delay parameters to dynamically calibrate the time offset. Finally, generate a time - optimized light - source characteristic sequence to ensure the time accuracy and consistency of the light - source response.

[0063] For example, in the stage lighting test, optimize the flicker - frequency performance of the lighting through the modulation parameters, and correct the time synchronization of the lighting change in combination with the delay parameters. Finally, generate a time - optimized lighting characteristic sequence to ensure that the stage lighting performance highly matches the music rhythm.

[0064] Perform frequency - domain analysis on the light - source static characteristic parameters to obtain light - source power parameters and light - source energy parameters. Use the light - source power parameters and light - source energy parameters to perform amplitude adjustment on the time - optimized light - source characteristic sequence to obtain a power - optimized light - source characteristic sequence and amplitude - adjustment information.

[0065] By using frequency - domain analysis techniques to analyze the energy distribution and power density of the light - source static characteristic parameters, extract the light - source power parameters and light - source energy parameters respectively. Specifically, by adjusting the amplitude of the time - optimized light - source characteristic sequence, balance the response characteristics between power and energy, generate a power - optimized light - source characteristic sequence, and record the amplitude - adjustment information for subsequent calculation use.

[0066] For example, in indoor lighting tests, the power output characteristics and energy consumption data of the lights are extracted through frequency-domain analysis. Using these parameters, the brightness amplitude of the lights is adjusted to generate a power-optimized light feature sequence, while outputting information on optimized light power and energy consumption.

[0067] The error correction of the light source response mapping relationship is performed using the amplitude adjustment information to obtain the light source error parameters. Based on the light source error parameters, error compensation is performed on the power-optimized light source feature sequence to obtain the target optimized light source sequence.

[0068] By combining the amplitude adjustment information to analyze and correct the error part in the light source response mapping relationship, the light source error parameters are extracted for subsequent compensation processing. Specifically, the light source error parameters are applied to the power-optimized light source feature sequence to dynamically compensate for the amplitude error, generating a light source sequence that meets the target requirements, thereby improving the stability and consistency of the light source performance.

[0069] For example, in automotive taillight tests, the response consistency of the taillights is optimized through error correction. Using the error parameters, the power characteristics of the lights are dynamically adjusted, and finally a target optimized light source sequence for taillights that meets safety standards is generated to ensure that the taillight performance complies with regulatory requirements.

[0070] Among them, the steps of performing time adjustment on the light source feature sequence using the light source modulation parameters and the light source delay parameters to obtain the time-optimized light source feature sequence include: performing spectral decomposition on the light source modulation parameters to obtain modulation component data, performing time compensation calculation on the modulation component data to obtain the compensated modulation components and the compensation adjustment factor, and using the compensation adjustment factor to perform phase synchronization processing on the light source feature sequence to obtain the phase-corrected light source feature sequence.

[0071] By performing compensation calculation on the spectral components decomposed from the modulation parameters, the phase shift and modulation error are eliminated to generate the compensated modulation components and the phase adjustment factor. Specifically, the phase adjustment factor is used to perform phase synchronization processing on the light source feature sequence to generate the phase-corrected light source feature sequence, while recording the phase error information to evaluate the modulation performance.

[0072] For example, in outdoor LED advertising screen tests, the frequency and phase error of the screen flicker are adjusted through the modulation component data to generate a synchronized and jitter-free advertising picture sequence, while outputting the phase error evaluation information.

[0073] Perform time-domain filtering calculation on the light source delay parameters to obtain the delay correction data. Use the delay correction data to perform time realignment on the phase-corrected light source feature sequence to obtain the time-optimized light source feature sequence and the time correction vector.

[0074] By inputting the light source delay parameter into the time-domain filtering model, the delay correction data of the light source signal is calculated and used to adjust the time distribution of the light source feature sequence. Specifically, the phase-corrected light source feature sequence is time-realigned in combination with the delay correction data to generate a time-optimized light source feature sequence, and at the same time, a time correction vector is recorded for evaluating the correction effect.

[0075] For example, in traffic light testing, by correcting the delay parameter of the green light signal, the time distribution characteristics of the signal are adjusted to generate a time-optimized traffic light sequence, and at the same time, a delay adjustment vector is output to ensure the real-time performance of the signal.

[0076] The compensation modulation component is dynamically adjusted using the time correction vector to obtain a dynamically modulated light source feature sequence, and the dynamically modulated light source feature sequence is subjected to amplitude normalization processing to obtain a time-sequence optimized light source feature sequence.

[0077] By dynamically correcting the compensation modulation component and combining the time correction vector, the optimization adjustment of the modulation response is realized to generate a dynamically modulated light source feature sequence. Specifically, the dynamically modulated light source feature sequence is normalized to adjust the amplitude characteristics and improve the normality and consistency of the time-sequence optimized sequence.

[0078] For example, in stage special effect light testing, by dynamically adjusting the modulation frequency of the light and amplitude normalization processing, a consistent and smooth light sequence is generated to ensure that the stage expressiveness of the special effect light reaches the expected effect.

[0079] In step S300, the target optimized light source sequence is subjected to statistical normalization processing to obtain the light source normalization parameter and the light source error distribution parameter, and the light source error distribution parameter is subjected to error equalization calculation using the light source normalization parameter to obtain an error correction value.

[0080] By applying a statistical normalization algorithm to the target optimized light source sequence, the normalized amplitude of the light source signal data is calculated to generate the light source normalization parameter and analyze the light source error distribution, and the light source error distribution parameter is extracted. Specifically, the light source normalization parameter and the light source error distribution parameter are jointly calculated by an error equalization method, so as to generate an error correction value to optimize the consistency of the light source features.

[0081] For example, in flashlight light source testing, the uniformity of the light source output power is analyzed by statistical normalization processing, the normalization parameter and the light source error distribution characteristics are extracted, and then the peak deviation of the light source signal is corrected by an error equalization method to generate an error correction value to improve the beam concentration.

[0082] The light source signal data is subjected to feature transformation using the error correction value to obtain a standardized feature vector, and the standardized feature vector is subjected to dimensionality reduction processing to obtain a light source feature subspace and an error information matrix.

[0083] By performing feature mapping and transformation on the amplitude of the light source signal data in combination with the error correction value, the processed data is standardized into a feature vector with a unified feature scale, simplifying the complexity of the data features. Specifically, a dimensionality reduction algorithm is used to perform feature reduction on the standardized feature vector, extract the core features, generate a light source feature subspace, and at the same time calculate the error information matrix to express the characteristics of the lost information during the dimensionality reduction process.

[0084] For example, in the test of photographic lighting, the color temperature signal of the light is standardized through error correction to generate a color temperature feature vector. A dimensionality reduction method is used to extract the key color temperature features to form a light source feature subspace, and at the same time an error information matrix is output to describe the deviation of the dimming consistency.

[0085] The error information matrix is used to optimize the distribution of the light source feature subspace to obtain an error correction matrix, and weight calculation is performed on the error correction matrix to obtain a dynamic regulation matrix.

[0086] By applying a distribution optimization algorithm to the error information matrix, the distribution of each feature in the light source feature subspace is adjusted to reduce the influence of errors and generate an error correction matrix. Specifically, weight calculation is performed on each feature component of the error correction matrix to allocate dynamic regulation weights, and a dynamic regulation matrix is generated to enhance the flexible regulation ability of the light source signal.

[0087] For example, in the test of a laser, the smoothness of the laser power feature is adjusted through distribution optimization to generate an error correction matrix, and further a dynamic regulation matrix is formed based on weight calculation to accurately control the energy distribution of the laser output and improve the laser stability and accuracy.

[0088] In step S400, the error correction matrix is used to perform error compensation calculation on the light source response mapping relationship to obtain a light source compensation signal and a compensation adjustment vector. The regulation parameters of the digital light source controller are dynamically adjusted using the compensation adjustment vector to obtain an adjustment coefficient.

[0089] By using the error correction matrix to perform layer-by-layer compensation calculation on the error terms in the light source response mapping relationship, the light source compensation signal is extracted to reduce the influence of error accumulation. Specifically, the regulation parameters of the digital light source controller are accurately and dynamically adjusted through the compensation adjustment vector obtained by the compensation calculation, thereby generating an effective adjustment coefficient to ensure the real-time performance and response sensitivity of the light source signal regulation.

[0090] For example, in the test of an intelligent lighting system, the deviation between the light response and the control command is corrected through the error correction matrix to generate a brightness compensation signal, and the lighting adjustment parameters are optimized in combination with the compensation adjustment vector to obtain the final lighting adjustment coefficient to improve the response accuracy of the intelligent lighting system.

[0091] The amplitude of the light source compensation signal is optimized using an adjustment coefficient to obtain an optimized light source compensation signal and phase correction data. The optimized light source compensation signal and phase correction data are fused and calculated to obtain light source dynamic adjustment parameters.

[0092] By applying the adjustment coefficient to optimize the amplitude characteristics of the light source compensation signal and simultaneously extracting the phase offset of the compensated signal, phase correction data is generated. Specifically, the optimized light source compensation signal and phase correction data are combined through a fusion calculation method to form light source dynamic adjustment parameters to meet the requirements of complex and changing scenarios.

[0093] For example, in stage lighting tests, the intensity level of the lighting dimming signal is optimized using the adjustment coefficient, and the phase correction data is combined to eliminate the delay error of lighting changes. Finally, dynamic adjustment parameters are generated to ensure the perfect synchronization of the stage lighting effects and the music rhythm.

[0094] In step S500, a joint optimization calculation is performed using the light source compensation signal and the light source dynamic adjustment parameters to obtain a light source optimization control factor and a light source feedback parameter. A non-linear mapping calculation is performed on the light source optimization control factor to obtain a light source regulation optimization strategy.

[0095] By combining the light source compensation signal and the dynamic adjustment parameters for joint calculation, the light source optimization control factor is extracted to optimize the overall control effect of the light source, and at the same time, the light source feedback parameter is generated to monitor and adjust the system regulation in real time. Specifically, a non-linear mapping method is used to model the complex characteristics of the light source optimization control factor, and a light source regulation optimization strategy is generated to improve the comprehensive performance of the light source system.

[0096] For example, in traffic signal light tests, the accuracy of signal light intensity and frequency regulation is improved through joint optimization, and a dynamic mapping model is generated using the optimization control factor to adapt to different traffic flow demands. Finally, a regulation optimization strategy for the signal lights is generated.

[0097] Based on the light source regulation optimization strategy, a comprehensive calculation is performed on the light source feedback parameter to obtain light source stability data and light source output characteristic parameters. The light source test results are generated according to the light source stability data and the light source output characteristic parameters.

[0098] Through comprehensive analysis and calculation of the light source feedback parameter and the regulation optimization strategy, the light source stability data is extracted to evaluate the reliability of the light source signal, and the light source output characteristic parameters are generated to characterize the multi-dimensional characteristics of the light source performance. Specifically, by combining the light source stability and the output characteristics, the test results are accurately described to ensure the scientificity and rigor of the test method.

[0099] For example, in the outdoor lighting equipment test, the stability score and energy consumption parameters of the light are generated through comprehensive calculation, which are used to evaluate the long-term performance of the equipment, and finally a detailed light performance test report is output to guide the parameter optimization in actual engineering applications.

[0100] In this embodiment, by acquiring the light source signal data and control instruction data of the digital light source controller, performing time synchronization processing, amplitude segmentation processing and statistical analysis on the light source signal data, extracting the light source amplitude sequence, light source change sequence, light source stability parameters and light source jitter parameters, the generation and error calibration of the light source feature sequence are completed. Subsequently, based on the calibrated light source feature sequence and the control instruction data, correlation matching is performed, the light source response data and the calibration error information are fused to generate the light source response mapping relationship, and further the light source dynamic feature parameters and the light source static feature parameters are extracted through eigen-decomposition. The light source modulation parameters and the light source delay parameters are obtained through time-domain analysis, and the light source power parameters and the light source energy parameters are obtained by using frequency-domain analysis, so as to complete the timing optimization and amplitude adjustment of the light source feature sequence, and obtain the power-optimized light source feature sequence and amplitude adjustment information. On this basis, the error correction algorithm is used with the amplitude adjustment information to correct the error of the light source response mapping relationship, extract the error correction matrix, and generate a dynamic regulation matrix through weight calculation. Combining the error correction matrix and the dynamic regulation matrix, the optimization calculation is performed on the light source response mapping relationship and the regulation parameters of the digital light source controller to generate the light source compensation signal, the dynamic adjustment parameters and the optimized light source compensation signal, and through phase correction, time realignment and amplitude normalization processing, the timing-optimized light source feature sequence is generated. In the whole process, by jointly optimizing the calculation of the light source compensation signal and the dynamic adjustment parameters, the light source optimization control factor and the light source feedback parameters are further extracted, and the light source regulation optimization strategy is generated by using non-linear mapping. Finally, the light source stability data and the output feature parameters are obtained by synthesizing the light source feedback parameters and the regulation optimization strategy, and the accurate and efficient light source test results are generated. This embodiment effectively improves the accuracy and response efficiency of the light source signal regulation, and significantly optimizes the test performance and actual application effect of the digital light source controller.

[0101] Embodiment 3:

[0102] As Figure 2 shown, the present application also provides a test device 10 for a digital light source controller, including an acquisition module 11, a decomposition module 12, a conversion module 13, a calculation module 14 and a generation module 15.

[0103] The acquisition module 11 is mainly used to acquire the light source signal data and control instruction data of the digital light source controller, perform synchronization processing on the light source signal data to obtain the light source feature sequence, and match the light source feature sequence with the control instruction data to obtain the light source response mapping relationship.

[0104] The decomposition module 12 is mainly used to decompose the light source response mapping relationship to obtain the light source dynamic characteristic parameters and the light source static characteristic parameters, and use the light source dynamic characteristic parameters and the light source static characteristic parameters to adjust the light source characteristic sequence to obtain the target optimized light source sequence.

[0105] The conversion module 13 is mainly used to calculate the target optimized light source sequence to obtain an error correction value, use the error correction value to perform feature conversion on the light source signal data to obtain a normalized feature vector, and perform dimensionality reduction on the normalized feature vector to obtain an error correction matrix and a dynamic regulation matrix.

[0106] The calculation module 14 is mainly used to calculate the light source response mapping relationship using the error correction matrix to obtain a light source compensation signal, and use the dynamic regulation matrix to adjust the regulation parameters of the digital light source controller to obtain the light source dynamic adjustment parameters.

[0107] The generation module 15 is mainly used to calculate the light source dynamic adjustment parameters using the light source compensation signal to obtain a light source regulation optimization strategy, and generate a light source test result according to the light source regulation optimization strategy.

[0108] In this embodiment, the acquisition module 11 is used to collect the light source signal data and control instruction data of the digital light source controller in real time, perform high-precision synchronization processing on the light source signal data, generate a light source characteristic sequence and perform matching analysis with the control instruction data, so as to construct a light source response mapping relationship; the decomposition module 12 is used to perform feature decomposition on the light source response mapping relationship, extract the light source dynamic characteristic parameters and the light source static characteristic parameters, and combine these parameters to optimize and adjust the light source characteristic sequence to generate a target optimized light source sequence; the conversion module 13 is used to calculate the light source error parameters based on the target optimized light source sequence, obtain an error correction value, and use the correction value to complete the feature conversion of the light source signal data to generate a normalized feature vector, and then perform dimensionality reduction on the normalized feature vector to extract the error correction matrix and the dynamic regulation matrix; the calculation module 14 combines the error correction matrix and the dynamic regulation matrix to perform error compensation calculation on the light source response mapping relationship to generate a light source compensation signal, and perform dynamic optimization adjustment on the regulation parameters of the digital light source controller to obtain the light source dynamic adjustment parameters; finally, the generation module 15 uses the light source compensation signal and the dynamic adjustment parameters for joint optimization to generate a light source regulation optimization strategy, and outputs a light source test result according to this strategy. This device realizes the full-process intelligent and refined control from data acquisition to test result generation, significantly improves the accuracy and efficiency of light source signal processing, and effectively optimizes the performance test effect and practical application value of the digital light source controller.

[0109] It should be noted that those skilled in the art can clearly understand that for the convenience and brevity of description, the specific working processes of the above-described device and each module can refer to the corresponding processes in the foregoing Embodiment 1, and will not be elaborated herein.

[0110] The structures, ratios, sizes, etc. shown in the drawings of this specification are only used to cooperate with the content disclosed in the specification for those familiar with this technology to understand and read, and are not used to limit the limited conditions under which the present invention can be implemented. Therefore, they do not have technical substance. Any modification of the structure, change of the ratio relationship or adjustment of the size, without affecting the effects that the present invention can produce and the purposes that can be achieved, should still fall within the scope that can be covered by the technical content disclosed in the present invention.

[0111] As mentioned above, the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements on some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A test method for a digital light source controller, characterized in that, Including: Obtain the light source signal data and control instruction data of the digital light source controller, perform time synchronization processing on the light source signal data to obtain time index data, and use the time index data to perform amplitude segmentation processing on the light source signal data to obtain a light source amplitude sequence and a light source change sequence; perform statistical analysis on the light source change sequence to obtain a light source stability parameter and a light source jitter parameter, and use the light source stability parameter to perform mapping conversion on the light source amplitude sequence to obtain a light source feature sequence; use the light source jitter parameter to perform error calibration on the light source feature sequence to obtain a calibrated light source feature sequence and calibration error information; Based on the calibrated light source feature sequence, perform association matching on the control instruction data to obtain light source response data, and perform fusion analysis on the light source response data and the calibration error information to obtain a light source response mapping relationship; Decompose the light source response mapping relationship to obtain a light source dynamic characteristic parameter and a light source static characteristic parameter, and use the light source dynamic characteristic parameter and the light source static characteristic parameter to adjust the light source feature sequence to obtain a target optimized light source sequence; Perform calculation on the target optimized light source sequence to obtain an error correction value, use the error correction value to perform feature conversion on the light source signal data to obtain a normalized feature vector, and perform dimensionality reduction on the normalized feature vector to obtain an error correction matrix and a dynamic regulation matrix; Use the error correction matrix to perform calculation on the light source response mapping relationship to obtain a light source compensation signal, and use the dynamic regulation matrix to adjust the regulation parameters of the digital light source controller to obtain a light source dynamic adjustment parameter; Use the light source compensation signal to perform calculation on the light source dynamic adjustment parameter to obtain a light source regulation optimization strategy, and generate a light source test result according to the light source regulation optimization strategy.

2. The test method of the digital light source controller according to claim 1, characterized in that The step of decomposing the light source response mapping relationship to obtain a light source dynamic characteristic parameter and a light source static characteristic parameter, and using the light source dynamic characteristic parameter and the light source static characteristic parameter to adjust the light source feature sequence to obtain a target optimized light source sequence includes: Perform feature decomposition on the light source response mapping relationship to obtain a light source dynamic characteristic parameter and a light source static characteristic parameter, and perform time-domain analysis on the light source dynamic characteristic parameter to obtain a light source modulation parameter and a light source delay parameter; Use the light source modulation parameter and the light source delay parameter to perform time adjustment on the light source feature sequence to obtain a time-sequence optimized light source feature sequence; Perform frequency-domain analysis on the light source static characteristic parameter to obtain a light source power parameter and a light source energy parameter, and use the light source power parameter and the light source energy parameter to perform amplitude adjustment on the time-sequence optimized light source feature sequence to obtain a power-optimized light source feature sequence and amplitude adjustment information; Use the amplitude adjustment information to perform error correction on the light source response mapping relationship to obtain a light source error parameter, and perform error compensation on the power-optimized light source feature sequence based on the light source error parameter to obtain a target optimized light source sequence.

3. The test method of the digital light source controller according to claim 2, characterized in that, The step of performing temporal adjustment on the light source feature sequence by using the light source modulation parameter and the light source delay parameter to obtain a temporally optimized light source feature sequence includes: Performing spectral decomposition on the light source modulation parameter to obtain modulation component data, performing temporal compensation calculation on the modulation component data to obtain a compensated modulation component and a compensation adjustment factor, and performing phase synchronization processing on the light source feature sequence by using the compensation adjustment factor to obtain a phase-corrected light source feature sequence; Performing time-domain filtering calculation on the light source delay parameter to obtain delay correction data, and performing time re-alignment on the phase-corrected light source feature sequence by using the delay correction data to obtain a time-optimized light source feature sequence and a time correction vector; Dynamically adjusting the compensated modulation component by using the time correction vector to obtain a dynamically modulated light source feature sequence, and performing amplitude normalization processing on the dynamically modulated light source feature sequence to obtain a temporally optimized light source feature sequence.

4. The test method of the digital light source controller according to claim 1, characterized in that The step of calculating the target optimized light source sequence to obtain an error correction value, performing feature conversion on the light source signal data by using the error correction value to obtain a normalized feature vector, and performing dimensionality reduction on the normalized feature vector to obtain an error correction matrix and a dynamic regulation matrix includes: Performing statistical normalization processing on the target optimized light source sequence to obtain a light source normalization parameter and a light source error distribution parameter, and performing error equalization calculation on the light source error distribution parameter by using the light source normalization parameter to obtain an error correction value; Performing feature conversion on the light source signal data by using the error correction value to obtain a normalized feature vector, and performing dimensionality reduction processing on the normalized feature vector to obtain a light source feature subspace and an error information matrix; Performing distribution optimization on the light source feature subspace by using the error information matrix to obtain an error correction matrix, and performing weight calculation on the error correction matrix to obtain a dynamic regulation matrix.

5. The test method of the digital light source controller according to claim 1, characterized in that The step of calculating the light source response mapping relationship by using the error correction matrix to obtain a light source compensation signal, and adjusting the regulation parameter of the digital light source controller by using the dynamic regulation matrix to obtain a light source dynamic adjustment parameter includes: Performing error compensation calculation on the light source response mapping relationship by using the error correction matrix to obtain a light source compensation signal and a compensation adjustment vector, and dynamically adjusting the regulation parameter of the digital light source controller by using the compensation adjustment vector to obtain an adjustment coefficient; Performing amplitude optimization on the light source compensation signal by using the adjustment coefficient to obtain an optimized light source compensation signal and phase correction data, and performing fusion calculation on the optimized light source compensation signal and the phase correction data to obtain a light source dynamic adjustment parameter.

6. The test method of the digital light source controller according to claim 1, wherein The step of calculating the light source dynamic adjustment parameter by using the light source compensation signal to obtain a light source regulation optimization strategy, and generating a light source test result according to the light source regulation optimization strategy includes: Perform joint optimization calculations using the light source compensation signal and the light source dynamic adjustment parameters to obtain the light source optimization control factor and the light source feedback parameter, and perform non-linear mapping calculations on the light source optimization control factor to obtain the light source regulation optimization strategy; Based on the light source regulation optimization strategy, perform comprehensive calculations on the light source feedback parameter to obtain the light source stability data and the light source output characteristic parameter, and generate the light source test result according to the light source stability data and the light source output characteristic parameter.

7. A test device for a digital light source controller, characterized in that, Including: An acquisition module, configured to acquire the light source signal data and the control instruction data of the digital light source controller, perform time synchronization processing on the light source signal data to obtain time index data, perform amplitude segmentation processing on the light source signal data using the time index data to obtain the light source amplitude sequence and the light source change sequence; perform statistical analysis on the light source change sequence to obtain the light source stability parameter and the light source jitter parameter, perform mapping conversion on the light source amplitude sequence using the light source stability parameter to obtain the light source characteristic sequence; perform error calibration on the light source characteristic sequence using the light source jitter parameter to obtain the calibrated light source characteristic sequence and the calibration error information; Based on the calibrated light source characteristic sequence, perform correlation matching on the control instruction data to obtain the light source response data, and perform fusion analysis on the light source response data and the calibration error information to obtain the light source response mapping relationship; A decomposition module, configured to decompose the light source response mapping relationship to obtain the light source dynamic characteristic parameter and the light source static characteristic parameter, and adjust the light source characteristic sequence using the light source dynamic characteristic parameter and the light source static characteristic parameter to obtain the target optimized light source sequence; A conversion module, configured to calculate the error correction value for the target optimized light source sequence, perform feature conversion on the light source signal data using the error correction value to obtain the normalized feature vector, and perform dimensionality reduction on the normalized feature vector to obtain the error correction matrix and the dynamic regulation matrix; A calculation module, configured to calculate the light source compensation signal using the error correction matrix for the light source response mapping relationship, and adjust the regulation parameter of the digital light source controller using the dynamic regulation matrix to obtain the light source dynamic adjustment parameter; A generation module, configured to calculate the light source regulation optimization strategy using the light source compensation signal for the light source dynamic adjustment parameter, and generate the light source test result according to the light source regulation optimization strategy.

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