Method and device for testing digital light source controller

Abstract

The invention relates to the technical field of optical elements, and provides a digital light source controller testing method and device, and the method comprises the steps: obtaining light source signal data and control instruction data of a digital light source controller, carrying out the synchronization processing of the light source signal data, obtaining a light source feature sequence, and carrying out the matching of the light source feature sequence and the control instruction data, and obtaining a light source response mapping relation, decomposing the light source response mapping relation to obtain an error correction matrix and a dynamic regulation and control matrix, generating a light source regulation and control optimization strategy, and generating a light source test result according to the light source regulation and control optimization strategy. The light source signal data and the control instruction data of the digital light source controller are subjected to synchronous processing and matching analysis to generate the light source test result, so that the accuracy and the reliability of light source signal data processing are improved, and the problem that the test result in the prior art is difficult to accurately reflect the actual response capability of the light source in a complex scene is solved. And the problem of insufficient accuracy or limited optimization effect exists.

Description

Technical Field

[0001] The present application relates to the technical field of optical elements, and in particular to a testing 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 are widely used in display, lighting, communication and other fields. Digital light source controllers play an important role in improving light source performance, energy saving and emission reduction, and meeting personalized needs, and have become an indispensable part of modern science and 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] Among the related technical means, the test method of digital light source controller mainly collects the response data of the light source through standardized test equipment, and analyzes the light source signal in combination with the preset test process. Usually, the power, color temperature, consistency and response speed of the light source are evaluated by combining static and dynamic tests. Through this method, the basic evaluation of the light source performance can be achieved, thereby ensuring that the product meets the design requirements and meets the needs of users.

[0004] Regarding the above technical solutions, although static and dynamic testing methods can be used to comprehensively evaluate the performance of the light source, when faced with complex scenes, the test results of the existing technology are difficult to accurately reflect the actual response capabilities of the light source, and there are problems of insufficient accuracy or limited optimization effects. Summary of the invention

[0005] In order to improve the problem that the test results of the prior art cannot accurately reflect the actual response capability of the light source and have insufficient accuracy or limited optimization effect when facing complex scenes, the present application provides a test method and device for a digital light source controller.

[0006] The present invention provides a testing method for a digital light source controller, comprising: acquiring light source signal data and control instruction data of a digital light source controller, synchronously processing 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 a light source dynamic feature parameter and a light source static feature parameter, adjusting the light source feature sequence by using the light source dynamic feature parameter and the light source static feature parameter to obtain a target optimized light source sequence; 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 standardized feature vector, reducing the dimension of the standardized feature vector to obtain an error correction matrix and a dynamic control matrix; calculating the light source response mapping relationship by using the error correction matrix to obtain a light source compensation signal, adjusting the control parameters of the digital light source controller by using the dynamic control matrix to obtain a light source dynamic adjustment parameter; calculating the light source dynamic adjustment parameter by using the light source compensation signal to obtain a light source control optimization strategy, and generating a light source test result according to the light source control optimization strategy.

[0007] As a preferred scheme, the steps of acquiring light source signal data and control instruction data of a digital light source controller, synchronously processing 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 include: acquiring light source signal data and control instruction data of a digital light source controller, performing time synchronization processing on the light source signal data to obtain time index data, performing amplitude segmentation processing on the light source signal data using the time index 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, mapping and converting the light source amplitude sequence using the light source stability parameter to obtain a light source feature sequence; performing error calibration on the light source feature sequence using the light source jitter parameter to obtain a calibrated light source feature sequence and calibration error information; performing association 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 light source dynamic characteristic parameters and light source static characteristic parameters, and adjusting the light source characteristic sequence using the light source dynamic characteristic parameters and the light source static characteristic parameters to obtain a target optimized light source sequence includes: characteristically decomposing the light source response mapping relationship to obtain light source dynamic characteristic parameters and light source static characteristic parameters, performing time domain analysis on the light source dynamic characteristic parameters to obtain light source modulation parameters and light source delay parameters; performing time adjustment on the light source characteristic sequence using the light source modulation parameters and the light source delay parameters to obtain a timing optimized light source characteristic sequence; performing frequency domain analysis on the light source static characteristic parameters to obtain light source power parameters and light source energy parameters, and performing amplitude adjustment on the timing optimized light source characteristic sequence using the light source power parameters and light source energy parameters to obtain a power optimized light source characteristic sequence and amplitude adjustment information; performing error correction on the light source response mapping relationship using the amplitude adjustment information to obtain 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 a target optimized light source sequence.

[0009] As a preferred scheme, the step of using the light source modulation parameters and the light source delay parameters to time adjust the light source characteristic sequence to obtain a timing optimized light source characteristic sequence includes: 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 compensated modulation components and compensation adjustment factors, and using the compensation adjustment factors to perform phase synchronization processing on the light source characteristic sequence to obtain a phase corrected light source characteristic sequence; performing time domain filtering calculation on the light source delay parameters to obtain delay correction data, and using the delay correction data to time realign the phase corrected light source characteristic sequence to obtain a time optimized light source characteristic sequence and a time correction vector; using the time correction vector to dynamically adjust the compensated modulation component to obtain a dynamically modulated light source characteristic sequence, and performing amplitude normalization processing on the dynamically modulated light source characteristic sequence to obtain a timing optimized light source characteristic sequence.

[0010] As a preferred scheme, the steps of calculating the target optimized light source sequence to obtain an error correction value, performing feature conversion on the light source signal data using the error correction value to obtain a standardized feature vector, performing dimension reduction on the standardized feature vector to obtain an error correction matrix and a dynamic control matrix include: performing statistical normalization processing on the target optimized light source sequence to obtain light source normalization parameters and light source error distribution parameters, performing error equalization calculation on the light source error distribution parameters using the light source normalization parameters to obtain an error correction value; performing feature conversion on the light source signal data using the error correction value to obtain a standardized feature vector, performing dimension reduction processing on the standardized feature vector to obtain a light source feature subspace and an error information matrix; performing distribution optimization on the light source feature subspace using the error information matrix to obtain an error correction matrix, performing weight calculation on the error correction matrix to obtain a dynamic control matrix.

[0011] As a preferred scheme, the step of using the error correction matrix to calculate the light source response mapping relationship to obtain a light source compensation signal, and using the dynamic control matrix to adjust the control parameters of the digital light source controller to obtain dynamic adjustment parameters of the light source includes: using the error correction matrix to perform error compensation calculation on the light source response mapping relationship to obtain a light source compensation signal and a compensation adjustment vector, and using the compensation adjustment vector to dynamically adjust the control parameters of the digital light source controller to obtain an adjustment coefficient; using the adjustment coefficient to optimize the amplitude of the light source compensation signal 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 dynamic adjustment parameters of the light source.

[0012] As a preferred scheme, the steps of using the light source compensation signal to calculate the dynamic adjustment parameters of the light source to obtain the light source control optimization strategy, and generating the light source test results according to the light source control optimization strategy include: using the light source compensation signal and the light source dynamic adjustment parameters to perform joint optimization calculation to obtain the light source optimization control factor and the light source feedback parameter, performing nonlinear mapping calculation on the light source optimization control factor to obtain the light source control optimization strategy; performing comprehensive calculation on the light source feedback parameters based on the light source control optimization strategy to obtain the light source stability data and the light source output characteristic parameters, and generating the light source test results according to the light source stability data and the light source output characteristic parameters.

[0013] The present application also provides a testing device for a digital light source controller, comprising: an acquisition module, used to acquire light source signal data and control instruction data of the digital light source controller, synchronously process 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, used to decompose the light source response mapping relationship to obtain a light source dynamic feature parameter and a light source static feature parameter, use the light source dynamic feature parameter and the light source static feature parameter to adjust the light source feature sequence to obtain a target optimized light source sequence; a conversion module, used to convert the target optimized light source sequence A calculation module is used to calculate the light source response mapping relationship using the error correction matrix to obtain a light source compensation signal, and to adjust the control parameters of the digital light source controller using the dynamic control matrix to obtain light source dynamic adjustment parameters; a generation module is used to calculate the light source dynamic adjustment parameters using the light source compensation signal to obtain a light source control optimization strategy, and to generate a light source test result according to the light source control 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 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 light source signal data feature conversion and dimensionality reduction based on the error correction value, using the error correction matrix and the dynamic control matrix to generate the light source compensation signal and dynamic adjustment parameters, and generating the light source control optimization strategy, the light source test results are obtained, the accuracy and reliability of the light source signal data processing are improved, and the test results of the prior art are difficult to accurately reflect the actual response capability of the light source when facing complex scenes, and there are problems such as insufficient accuracy or limited optimization effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0016] The structures, proportions, sizes, etc. illustrated in the drawings of this specification are only used to match the contents disclosed in the specification so as to facilitate understanding and reading by persons familiar with this technology. They are not used to limit the conditions under which the present invention can be implemented, and therefore have no substantive technical significance. Any structural modification, change in proportion or adjustment of size, without affecting the effects and purposes that can be achieved by the present invention, should still fall within the scope of the technical contents disclosed by the present invention.

[0017] Figure 1 is a flow chart of a method for testing a digital light source controller provided by an embodiment of the present invention; Figure 2 It is a schematic block diagram of the structure of a testing device for a digital light source controller provided by an embodiment of the present invention.

[0018] Description of reference numerals: 10. Testing device for digital light source controller; 11. Acquisition module; 12. Decomposition module; 13. Conversion module; 14. Calculation module; 15. Generation module. DETAILED DESCRIPTION

[0019] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0020] The flowcharts shown in the accompanying drawings are only examples and do not necessarily include all the contents and operations / steps, nor must they be executed in the order described. For example, some operations / steps may also be decomposed, combined or partially merged, so the actual execution order may change according to actual conditions.

[0021] It should also be understood that the terms used in this application specification are only for the purpose of describing specific embodiments and are not intended to limit the application. As used in this application specification and the appended claims, unless the context clearly indicates otherwise, the singular forms "a", "an" and "the" are intended to include plural forms.

[0022] It should be further understood that the term “and / or” used in the specification and appended claims refers to any combination and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0023] The technical solution of the present invention is further described below with reference to the accompanying drawings and through specific implementation methods.

[0024] Embodiment 1: like Figure 1 As shown, the present application provides a method for testing a digital light source controller, including steps S100 to S500.

[0025] Step S100: acquiring light source signal data and control instruction data of a digital light source controller, synchronously processing 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.

[0026] In this step, the light source signal data of the digital light source controller is obtained through the data acquisition module, and the control instruction data is received through the control module. Specifically, the light source signal data is sampled, filtered and time-series processed to ensure data integrity and synchronization. The processed light source signal data is converted into a light source feature sequence, and the 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.

[0027] For example, in display screen testing, light source brightness data and brightness adjustment instructions are collected, synchronously processed, and a light source feature sequence is generated, and a brightness response mapping relationship is established.

[0028] Step S200: 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 characteristic sequence using the light source dynamic characteristic parameters and light source static characteristic parameters to obtain a target optimized light source sequence.

[0029] The light source response mapping relationship is decomposed into dynamic characteristic parameters and static characteristic parameters of the light source through mathematical decomposition method. Specifically, the dynamic characteristic parameters reflect the response characteristics of the light source that change over 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 characteristic sequence to obtain the target optimized light source sequence.

[0030] For example, in intelligent lighting testing, the dynamic characteristic parameters of the light source represent the response speed of the light to changes in ambient light, and the static characteristic parameters of the light source represent the maximum brightness value of the light. After adjustment, the light source error parameters and optimized light transformation sequence are generated.

[0031] Step S300, calculate the target optimized light source sequence to obtain the error correction value, use the error correction value to perform feature conversion on the light source signal data to obtain a standardized feature vector, reduce the dimension of the standardized feature vector to obtain an error correction matrix and a dynamic control matrix.

[0032] In this step, by comparing the target optimized light source sequence with the actual light source response sequence, the error parameters are calculated and the error correction value is generated. Specifically, the error correction value is used to mathematically transform the light source signal data, map the data into a standardized feature vector, and reduce the dimension of the feature vector through a dimensionality reduction algorithm to generate an error correction matrix and a dynamic control matrix.

[0033] For example, in the test of colored light, the error correction value can reflect the deviation between the target spectrum and the actual spectrum, and generate the error correction matrix for adjusting the spectrum and the dynamic control matrix for adjusting the spectrum through standardization and dimensionality reduction processing.

[0034] Step S400: Calculate the light source response mapping relationship using the error correction matrix to obtain a light source compensation signal, and adjust the control parameters of the digital light source controller using the dynamic control matrix to obtain the light source dynamic adjustment parameters.

[0035] In this step, mathematical operations are 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 impact of the error. Specifically, the dynamic control matrix is ​​used to optimize the control parameters of the digital light source controller to generate dynamic adjustment parameters of the light source to meet the real-time scene requirements.

[0036] For example, in stage lighting testing, the light color performance is adjusted through compensation signals, and the instantaneous response speed of the light is optimized by dynamically adjusting parameters.

[0037] Step S500: Calculate the dynamic adjustment parameters of the light source using the light source compensation signal to obtain the light source control optimization strategy, and generate the light source test result according to the light source control optimization strategy.

[0038] In this step, the light source compensation signal and the dynamic adjustment parameters are used to generate a light source control optimization strategy adapted to the specific application scenario. Specifically, the light source performance is optimized through the light source control optimization strategy, and the light source test results are generated to verify the test effect and the reliability of the solution.

[0039] For example, in outdoor lighting tests, the energy efficiency and lighting range of the lights are improved by adjusting the optimization strategy, and the lighting performance evaluation results are generated.

[0040] 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 firstly synchronously processed to generate a light source feature sequence. Then, the light source feature sequence is matched with the control instruction data, a light source response mapping relationship is established, and it is decomposed to extract the dynamic feature parameters of the light source and the static feature parameters of the light source. The light source feature sequence is adjusted using the above parameters to generate a target optimized light source sequence, and the light source error parameters are calculated according to the target optimized light source sequence to generate an error correction value. Subsequently, the light source signal data is feature transformed using the error correction value to generate a standardized feature vector, and a dimensionality reduction analysis is performed on it to obtain an error correction matrix and a dynamic control matrix. Finally, the error correction matrix and the dynamic control matrix are used to adjust the light source response mapping relationship and the control parameters of the digital light source controller respectively, and finally the dynamic adjustment parameters of the light source are generated, and the light source control optimization strategy is generated based on these parameters, thereby outputting the light source test results.

[0041] By introducing key steps such as light source response mapping relationship decomposition, light source feature sequence optimization, error correction and dynamic control, not only the processing accuracy of light source signal data is improved, but also the adaptability to complex scenes is enhanced. By generating light source control optimization strategies, the dynamic response performance of the light source and the accuracy of light source control can be effectively solved, and the test effect and practical application value of the digital light source controller are significantly improved. When facing complex scenes, the test results of the existing technology are difficult to accurately reflect the actual response ability of the light source, and there are problems such as insufficient accuracy or limited optimization effect.

[0042] Embodiment 2: In step S100, the light source signal data and control instruction data of the digital light source controller are obtained, the light source signal data is time-synchronized to obtain time index data, and the light source signal data is amplitude-segmented using the time index data to obtain a light source amplitude sequence and a light source change sequence.

[0043] The light source signal data is processed by using a high-precision time synchronization algorithm to ensure 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 by the 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 a light source change sequence to represent the trend of the light source signal changing over time.

[0044] For example, in LED lighting testing, by collecting the real-time brightness value and brightness adjustment instructions of the light, the brightness data is time-indexed using a time synchronization algorithm to obtain the brightness amplitude change sequence and the overall brightness change trend sequence in different time periods.

[0045] Statistical analysis is performed on the light source change sequence to obtain the light source stability parameter and the light source jitter parameter. The light source stability parameter is used to map and transform the light source amplitude sequence to obtain the light source characteristic sequence.

[0046] By using a statistical analysis model to conduct a comprehensive data analysis of the light source change sequence, the light source stability parameter is extracted to represent the stability of the light source in different time periods, and the light source jitter parameter is extracted to reflect the fluctuation degree of the light source signal. Specifically, by combining the light source amplitude sequence and the light source stability parameter, a light source feature sequence is generated through a mapping conversion method to characterize the comprehensive performance of the light source signal.

[0047] For example, in a display screen test, stability parameters are extracted by analyzing the screen brightness change sequence, and then the brightness amplitude data is converted using the stability parameters to generate a screen feature sequence with brightness stability characteristics.

[0048] The light source jitter parameters are used to perform error calibration on the light source characteristic sequence to obtain a calibrated light source characteristic sequence and calibration error information.

[0049] By correcting and calculating the jitter information in the light source feature sequence, the jitter error in the signal is eliminated, and a calibration light source feature sequence is generated. At the same time, the calibration error information is extracted to indicate the error variation trend during the calibration process. Specifically, dynamic adjustments are made based on the light source jitter parameters to calibrate the peak characteristics and response stability of the light source feature sequence.

[0050] For example, in the car headlight test, the light intensity variation of the light feature sequence is calibrated by extracting the light jitter parameters, a corrected light feature sequence is generated, and the light error calibration information is output to optimize the accuracy of the light test data.

[0051] Based on the calibration light source feature sequence, the control instruction data is correlated and matched to obtain the light source response data, and the light source response data and the calibration error information are fused and analyzed to obtain the light source response mapping relationship.

[0052] By performing correlation calculation on the calibration light source feature sequence and the control instruction data, the light source response data is extracted to reflect the dynamic response characteristics of the light source. At the same time, data fusion analysis is performed in combination with the calibration error information to generate a light source response mapping relationship to describe the logical association between the light source signal and the control instruction. Specifically, the light source response data is analyzed in layers through the algorithm model, and the accuracy of the mapping relationship is optimized in combination with the error information.

[0053] For example, in smart home lighting testing, light response data is generated by matching light feature sequences with control instruction data, and the light response mapping relationship is obtained by combining error information analysis to describe the dynamic control effect of light.

[0054] In step S200, the light source response mapping relationship is feature decomposed to obtain light source dynamic feature parameters and light source static feature parameters, and the light source dynamic feature parameters are analyzed in the time domain to obtain light source modulation parameters and light source delay parameters.

[0055] By using the characteristic decomposition algorithm to analyze the light source response mapping relationship layer by layer, the dynamic characteristic parameters of the light source are extracted to characterize the time sensitivity of the light source, and the static characteristic parameters of the light source are extracted to describe the steady-state behavior of the light source. Specifically, the dynamic characteristic parameters of the light source are sequentially scanned by the time domain analysis method to identify the modulation mode and response delay characteristics, thereby obtaining the light source modulation parameters and light source delay parameters respectively. This process ensures the accuracy and availability of the dynamic characteristics of the light source.

[0056] For example, in LED screen testing, by analyzing the light source response mapping relationship, the dynamic change data of the screen brightness is extracted, and the brightness modulation frequency (light source modulation parameters) and dimming delay time (light source delay parameters) are calculated using time domain analysis, thereby accurately characterizing the screen response characteristics.

[0057] The light source modulation parameters and light source delay parameters are used to adjust the light source characteristic sequence in time to obtain a timing optimized light source characteristic sequence.

[0058] The light source characteristic sequence is adjusted in time by using the modulation and delay correction model to optimize the time matching of the light source response. Specifically, the time spectrum of the characteristic sequence is reorganized in combination with the light source modulation parameters, and the time offset is dynamically calibrated using the light source delay parameters, and finally a timing-optimized light source characteristic sequence is generated to ensure the time accuracy and consistency of the light source response.

[0059] For example, in stage lighting tests, the flickering frequency of the lights is optimized by modulating the parameters, and the time synchronization of the light changes is corrected by combining the delay parameters. Ultimately, a timing-optimized lighting feature sequence is generated to ensure that the stage lighting performance is highly consistent with the rhythm of the music.

[0060] The static characteristic parameters of the light source are analyzed in the frequency domain to obtain the light source power parameters and the light source energy parameters. The light source power parameters and the light source energy parameters are used to adjust the amplitude of the timing optimized light source characteristic sequence to obtain the power optimized light source characteristic sequence and amplitude adjustment information.

[0061] By using frequency domain analysis technology to analyze the energy distribution and power density of the static characteristic parameters of the light source, the light source power parameters and light source energy parameters are extracted respectively. Specifically, by adjusting the amplitude of the timing optimized light source characteristic sequence, the response characteristics between power and energy are balanced, a power optimized light source characteristic sequence is generated, and the amplitude adjustment information is recorded for subsequent calculations.

[0062] For example, in indoor lighting tests, the power output characteristics and energy consumption data of the light are extracted through frequency domain analysis, and these parameters are used to adjust the brightness amplitude of the light to generate a power-optimized light feature sequence, while outputting the light power and energy consumption optimization information.

[0063] The amplitude adjustment information is used to perform error correction on the light source response mapping relationship to obtain the light source error parameters. Based on the light source error parameters, the power optimized light source characteristic sequence is error compensated to obtain the target optimized light source sequence.

[0064] 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, the amplitude error is dynamically compensated, and a light source sequence that meets the target requirements is generated, thereby improving the stability and consistency of the light source performance.

[0065] For example, in the test of automobile taillights, the response consistency of the taillights is optimized through error correction, and the power characteristics of the light are dynamically adjusted using error parameters. Ultimately, a taillight target optimized light source sequence that meets safety standards is generated to ensure that the taillight performance meets regulatory requirements.

[0066] Among them, the steps of using light source modulation parameters and light source delay parameters to time adjust the light source characteristic sequence to obtain a timing optimized light source characteristic 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 compensated modulation components and compensation adjustment factors, and using the compensation adjustment factors to perform phase synchronization processing on the light source characteristic sequence to obtain a phase-corrected light source characteristic sequence.

[0067] By compensating and calculating the spectrum components decomposed from the modulation parameters, the phase offset and modulation error are eliminated, and the compensation modulation component and phase adjustment factor are generated. Specifically, the phase adjustment factor is used to perform phase synchronization processing on the light source characteristic sequence to generate a phase-corrected light source characteristic sequence, and the phase error information is recorded to evaluate the modulation performance.

[0068] For example, in the test of outdoor LED advertising screens, the frequency and phase error of screen flickering are adjusted by modulating component data to generate a synchronized and jitter-free advertising image sequence, while outputting phase error evaluation information.

[0069] The light source delay parameters are calculated by time domain filtering to obtain delay correction data, and the phase correction light source characteristic sequence is time realigned using the delay correction data to obtain a time optimized light source characteristic sequence and a time correction vector.

[0070] By inputting the light source delay parameters 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 the time correction vector is recorded to evaluate the correction effect.

[0071] For example, in traffic light testing, by correcting the green light signal delay parameters and adjusting the time distribution characteristics of the signal, a time-optimized traffic light sequence is generated, and a delay adjustment vector is output to ensure the real-time performance of the signal.

[0072] The time correction vector is used to dynamically adjust the compensation modulation component to obtain a dynamic modulated light source characteristic sequence, and the dynamic modulated light source characteristic sequence is subjected to amplitude normalization processing to obtain a timing optimized light source characteristic sequence.

[0073] By dynamically correcting the compensation modulation component and optimizing the modulation response in combination with the time correction vector, a dynamic modulated light source characteristic sequence is generated. Specifically, the dynamic modulated light source characteristic sequence is normalized to adjust the amplitude characteristics and improve the standardization and consistency of the timing optimization sequence.

[0074] For example, in the test of stage special effects lights, by dynamically adjusting the modulation frequency and amplitude normalization of the lights, a consistent and smooth lighting sequence is generated to ensure that the stage performance of the special effects lights achieves the expected effect.

[0075] In step S300, statistical normalization processing is performed on the target optimized light source sequence to obtain light source normalization parameters and light source error distribution parameters, and error equalization calculation is performed on the light source error distribution parameters using the light source normalization parameters to obtain error correction values.

[0076] By applying a statistical normalization algorithm to the target optimized light source sequence, the normalized amplitude of the light source signal data is calculated, the light source normalization parameters are generated, and the light source error distribution is analyzed to extract the light source error distribution parameters. Specifically, the light source normalization parameters are jointly calculated with the light source error distribution parameters through the error equalization method to generate error correction values ​​to optimize the consistency of the light source characteristics.

[0077] For example, in the flashlight light source test, the uniformity of the light source output power is analyzed through statistical normalization processing, the normalization parameters and light source error distribution characteristics are extracted, and then the error equalization method is used to correct the peak deviation of the light source signal, and an error correction value is generated to improve the beam concentration.

[0078] The error correction value is used to perform feature transformation on the light source signal data 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.

[0079] By combining the error correction value to map and transform the amplitude of the light source signal data, the processed data is standardized into a feature vector with a uniform feature scale to simplify the complexity of the data features. Specifically, the dimension reduction algorithm is used to simplify the standardized feature vector, extract the core features, generate the light source feature subspace, and calculate the error information matrix to express the characteristics of the lost information in the dimension reduction process.

[0080] For example, in photographic lighting tests, the light color temperature signal is standardized through error correction to generate a color temperature feature vector. The key color temperature features are extracted using a dimensionality reduction method to form a light source feature subspace. At the same time, an error information matrix is ​​output to describe the deviation in dimming consistency.

[0081] The error information matrix is ​​used to optimize the distribution of the light source characteristic subspace to obtain the error correction matrix, and the error correction matrix is ​​weighted to obtain the dynamic control matrix.

[0082] By applying the distribution optimization algorithm to the error information matrix, the distribution of each feature in the light source feature subspace is adjusted to reduce the error impact and generate an error correction matrix. Specifically, the weights of each feature component of the error correction matrix are calculated, and dynamic control weights are assigned to generate a dynamic control matrix to improve the flexible control capability of the light source signal.

[0083] For example, in laser testing, the smoothness of the laser power characteristics is adjusted through distribution optimization to generate an error correction matrix, and then a dynamic control matrix is ​​formed based on weight calculation to accurately control the energy distribution of the laser output and improve laser stability and accuracy.

[0084] In step S400, an error compensation calculation is performed on the light source response mapping relationship using an error correction matrix to obtain a light source compensation signal and a compensation adjustment vector, and the compensation adjustment vector is used to dynamically adjust the control parameters of the digital light source controller to obtain an adjustment coefficient.

[0085] By using the error correction matrix to perform layer-by-layer compensation calculations on the error terms in the light source response mapping relationship, the light source compensation signal is extracted to reduce the impact of error accumulation. Specifically, the compensation adjustment vector obtained by the compensation calculation is used to accurately and dynamically adjust the control parameters of the digital light source controller, thereby generating an effective adjustment coefficient to ensure the real-time and response sensitivity of the light source signal control.

[0086] For example, in the test of intelligent lighting system, the deviation between the light response and the control instruction is corrected through the error correction matrix to generate a brightness compensation signal, and the light adjustment parameters are optimized in combination with the compensation adjustment vector to obtain the final light adjustment coefficient to improve the response accuracy of the intelligent lighting system.

[0087] The amplitude of the light source compensation signal is optimized by using the adjustment coefficient to obtain the optimized light source compensation signal and phase correction data. The optimized light source compensation signal and the phase correction data are fused and calculated to obtain the dynamic adjustment parameters of the light source.

[0088] The adjustment coefficient is used to optimize the amplitude characteristics of the light source compensation signal, and the phase offset of the compensated signal is extracted to generate phase correction data. Specifically, the optimized light source compensation signal is combined with the phase correction data through a fusion calculation method to form a dynamic adjustment parameter of the light source to adapt to complex and changing scene requirements.

[0089] For example, in stage lighting tests, the intensity level of the lighting dimming signal is optimized by adjusting the coefficient, and the delay error of the lighting change is eliminated by combining the phase correction data. Finally, dynamic adjustment parameters are generated to ensure perfect synchronization between the stage lighting effects and the music rhythm.

[0090] In step S500, a light source compensation signal and a light source dynamic adjustment parameter are used to perform a joint optimization calculation to obtain a light source optimization control factor and a light source feedback parameter, and a nonlinear mapping calculation is performed on the light source optimization control factor to obtain a light source control optimization strategy.

[0091] By combining the light source compensation signal with 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 the light source feedback parameter is generated to monitor and adjust the system control in real time. Specifically, the nonlinear mapping method is used to model the complex characteristics of the light source optimization control factor, and the light source control optimization strategy is generated to improve the comprehensive performance of the light source system.

[0092] For example, in traffic light testing, the accuracy of signal light intensity and frequency control is improved through joint optimization, and the dynamic mapping model is generated by optimizing control factors to adapt to different traffic flow requirements, ultimately generating an optimized control strategy for the traffic lights.

[0093] Based on the light source control optimization strategy, the light source feedback parameters are comprehensively calculated to obtain the light source stability data and light source output characteristic parameters, and the light source test results are generated according to the light source stability data and light source output characteristic parameters.

[0094] By comprehensively analyzing and calculating the feedback parameters and control optimization strategies of the light source, 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, the test results are accurately described in combination with the light source stability and output characteristics to ensure the scientificity and rigor of the test method.

[0095] For example, in outdoor lighting equipment testing, comprehensive calculations are used to generate light stability scores and energy consumption parameters to evaluate the long-term performance of the equipment, and ultimately a detailed lighting performance test report is output to guide parameter optimization in actual engineering applications.

[0096] 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 subjected to time synchronization processing, amplitude segmentation processing and statistical analysis, and the light source amplitude sequence, light source change sequence, light source stability parameter and light source jitter parameter are extracted to complete the generation of the light source feature sequence and error calibration. Subsequently, the calibrated light source feature sequence is associated and matched with the control instruction data, and the light source response mapping relationship is generated by fusing the light source response data and the calibration error information, and the light source dynamic feature parameters and the light source static feature parameters are further extracted by feature decomposition. The light source modulation parameters and light source delay parameters are obtained by time domain analysis, and the light source power parameters and light source energy parameters are obtained by frequency domain analysis, and the timing optimization and amplitude adjustment of the light source feature sequence are completed, and the power optimized light source feature sequence and amplitude adjustment information are obtained. On this basis, the light source response mapping relationship is error corrected using the amplitude adjustment information and the error correction algorithm, the error correction matrix is ​​extracted, and the dynamic control matrix is ​​generated by weight calculation. Combined with the error correction matrix and the dynamic control matrix, the light source response mapping relationship and the control parameters of the digital light source controller are optimized and calculated to generate the light source compensation signal, dynamic adjustment parameters and optimized light source compensation signal. Through phase correction, time realignment and amplitude normalization processing, a timing optimized light source feature sequence is generated. In the whole process, by jointly optimizing and calculating the light source compensation signal and the dynamic adjustment parameters, the light source optimization control factor and the light source feedback parameter are further extracted, and the light source control optimization strategy is generated by nonlinear mapping. Finally, the light source feedback parameters and the control optimization strategy are integrated to obtain the light source stability data and output characteristic parameters, and generate accurate and efficient light source test results. This embodiment effectively improves the accuracy and response efficiency of light source signal control, and significantly optimizes the test performance and practical application effect of the digital light source controller.

[0097] Embodiment 3: like Figure 2 As shown, the present application also provides a testing 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 .

[0098] The acquisition module 11 is mainly used to acquire the light source signal data and control instruction data of the digital light source controller, synchronously process the light source signal data to obtain the light source feature sequence, match the light source feature sequence with the control instruction data, and obtain the light source response mapping relationship.

[0099] 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.

[0100] The conversion module 13 is mainly used to calculate the target optimized light source sequence to obtain the error correction value, use the error correction value to perform feature conversion on the light source signal data to obtain the standardized feature vector, reduce the dimension of the standardized feature vector, and obtain the error correction matrix and the dynamic control matrix.

[0101] The calculation module 14 is mainly used to calculate the light source response mapping relationship using the error correction matrix to obtain the light source compensation signal, and to adjust the control parameters of the digital light source controller using the dynamic control matrix to obtain the light source dynamic adjustment parameters.

[0102] The generating module 15 is mainly used to calculate the dynamic adjustment parameters of the light source using the light source compensation signal, obtain the light source control optimization strategy, and generate the light source test result according to the light source control optimization strategy.

[0103] In this embodiment, the light source signal data and control instruction data of the digital light source controller are collected in real time by the acquisition module 11, and the light source signal data is synchronously processed with high precision, and the light source feature sequence is generated and matched and analyzed with the control instruction data, so as to construct the light source response mapping relationship; the light source response mapping relationship is feature decomposed by the decomposition module 12, and the dynamic feature parameters of the light source and the static feature parameters of the light source are extracted, and the light source feature sequence is optimized and adjusted in combination with these parameters to generate a target optimized light source sequence; the light source error parameter is calculated based on the target optimized light source sequence by the conversion module 13 to obtain the error correction value, and the feature conversion of the light source signal data is completed by using the correction value to generate a standardized feature vector, and then the standardized feature vector is reduced in dimension to extract the error correction matrix and the dynamic control matrix; the calculation module 14 combines the error correction matrix and the dynamic control matrix to perform error compensation calculation on the light source response mapping relationship to generate a light source compensation signal, and dynamically optimizes and adjusts the control parameters of the digital light source controller to obtain the dynamic adjustment parameters of the light source; finally, the light source compensation signal and the dynamic adjustment parameters are jointly optimized by the generation module 15 to generate a light source control optimization strategy, and the light source test result is output according to the strategy. The device realizes intelligent and refined control of the entire process 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.

[0104] It should be noted that technicians in the relevant technical field can clearly understand that for the convenience and simplicity of description, the specific working process of the above-described device and each module can refer to the corresponding process in the aforementioned embodiment 1, and will not be repeated here.

[0105] The structures, proportions, sizes, etc. illustrated in the drawings of this specification are only used to match the contents disclosed in the specification so as to facilitate understanding and reading by persons familiar with this technology. They are not used to limit the conditions under which the present invention can be implemented, and therefore have no substantive technical significance. Any structural modification, change in proportion or adjustment of size, without affecting the effects and purposes that can be achieved by the present invention, should still fall within the scope of the technical contents disclosed by the present invention.

[0106] As described above, the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features thereof may be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for testing a digital light source controller, characterized in that: include: Acquire light source signal data and control instruction data of the digital light source controller, perform synchronous processing on the light source signal data to obtain a light source feature sequence, match the light source feature sequence with the control instruction data, and 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, and adjusting the light source characteristic sequence by using the light source dynamic characteristic parameters and the light source static characteristic parameters 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 standardized feature vector, and performing dimension reduction on the standardized feature vector to obtain an error correction matrix and a dynamic control matrix; The light source response mapping relationship is calculated using the error correction matrix to obtain a light source compensation signal, and the control parameters of the digital light source controller are adjusted using the dynamic control matrix to obtain a light source dynamic adjustment parameter; The light source compensation signal is used to calculate the dynamic adjustment parameters of the light source to obtain a light source control optimization strategy, and a light source test result is generated according to the light source control optimization strategy.

2. The testing method of the digital light source controller according to claim 1, characterized in that: The step of acquiring light source signal data and control instruction data of the digital light source controller, synchronously processing 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 includes: Acquire 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 perform amplitude segmentation processing on the light source signal data using the time index data to obtain a light source amplitude sequence and a light source change sequence; Performing statistical analysis on the light source variation sequence to obtain a light source stability parameter and a light source jitter parameter, and using the light source stability parameter to perform mapping conversion on the light source amplitude sequence to obtain a light source characteristic sequence; Performing error calibration on the light source characteristic sequence using the light source jitter parameter to obtain a calibrated light source characteristic sequence and calibration error information; The control instruction data is associated and matched based on the calibration light source feature sequence to obtain light source response data, and the light source response data and the calibration error information are fused and analyzed to obtain a light source response mapping relationship.

3. The testing 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 light source dynamic characteristic parameters and light source static characteristic parameters, and adjusting the light source characteristic sequence using the light source dynamic characteristic parameters and the light source static characteristic parameters to obtain a target optimized light source sequence includes: Performing feature decomposition on the light source response mapping relationship to obtain light source dynamic feature parameters and light source static feature parameters, and performing time domain analysis on the light source dynamic feature parameters to obtain light source modulation parameters and light source delay parameters; Using the light source modulation parameter and the light source delay parameter to adjust the light source characteristic sequence in time to obtain a time-optimized light source characteristic sequence; Performing frequency domain analysis on the static characteristic parameters of the light source to obtain light source power parameters and light source energy parameters, and using the light source power parameters and light source energy parameters to perform amplitude adjustment on the timing optimized light source characteristic sequence to obtain a power optimized light source characteristic sequence and amplitude adjustment information; The amplitude adjustment information is used to perform error correction on the light source response mapping relationship to obtain light source error parameters, and error compensation is performed on the power optimized light source characteristic sequence based on the light source error parameters to obtain a target optimized light source sequence.

4. The testing method of the digital light source controller according to claim 3, characterized in that: The step of adjusting the light source characteristic sequence in time by using the light source modulation parameter and the light source delay parameter to obtain a time-optimized light source characteristic sequence comprises: Performing spectrum decomposition on the light source modulation parameters to obtain modulation component data, performing time compensation calculation on the modulation component data to obtain compensated modulation components and compensation adjustment factors, and performing phase synchronization processing on the light source characteristic sequence using the compensation adjustment factors to obtain a phase-corrected light source characteristic sequence; Performing time domain filtering calculation on the light source delay parameter to obtain delay correction data, and using the delay correction data to time realign the phase correction light source characteristic sequence to obtain a time optimized light source characteristic sequence and a time correction vector; The time correction vector is used to dynamically adjust the compensation modulation component to obtain a dynamic modulation light source characteristic sequence, and the dynamic modulation light source characteristic sequence is subjected to amplitude normalization processing to obtain a timing optimized light source characteristic sequence.

5. The method for testing a digital light source controller according to claim 1, characterized in that: The steps of calculating the target optimized light source sequence to obtain an error correction value, performing feature conversion on the light source signal data using the error correction value to obtain a standardized feature vector, and performing dimension reduction on the standardized feature vector to obtain an error correction matrix and a dynamic control matrix include: Performing statistical normalization processing on the target optimized light source sequence to obtain light source normalization parameters and light source error distribution parameters, and performing error equalization calculation on the light source error distribution parameters using the light source normalization parameters to obtain error correction values; Performing feature conversion on the light source signal data using the error correction value to obtain a standardized feature vector, and performing dimensionality reduction processing on the standardized feature vector to obtain a light source feature subspace and an error information matrix; The error information matrix is ​​used to perform distribution optimization on the light source characteristic subspace to obtain an error correction matrix, and weight calculation is performed on the error correction matrix to obtain a dynamic control matrix.

6. The method for testing a 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 control parameters of the digital light source controller by using the dynamic control matrix to obtain the dynamic adjustment parameters of the light source includes: Using the error correction matrix to perform error compensation calculation on the light source response mapping relationship to obtain a light source compensation signal and a compensation adjustment vector, and using the compensation adjustment vector to dynamically adjust the control parameters of the digital light source controller to obtain an adjustment coefficient; The amplitude of the light source compensation signal is optimized by using the adjustment coefficient to obtain an optimized light source compensation signal and phase correction data, and the optimized light source compensation signal and the phase correction data are fused and calculated to obtain a light source dynamic adjustment parameter.

7. The method for testing a digital light source controller according to claim 1, characterized in that: The step of calculating the light source dynamic adjustment parameter by using the light source compensation signal to obtain a light source control optimization strategy, and generating a light source test result according to the light source control optimization strategy includes: Performing joint optimization calculation 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 nonlinear mapping calculation on the light source optimization control factor to obtain a light source control optimization strategy; The light source feedback parameters are comprehensively calculated based on the light source control optimization strategy to obtain light source stability data and light source output characteristic parameters, and light source test results are generated according to the light source stability data and the light source output characteristic parameters.

8. A testing device for a digital light source controller, characterized in that: include: An acquisition module is used to acquire light source signal data and control instruction data of a digital light source controller, synchronously process the light source signal data to obtain a light source feature sequence, match the light source feature sequence with the control instruction data, and obtain a light source response mapping relationship; A decomposition module, used for decomposing the light source response mapping relationship to obtain light source dynamic characteristic parameters and light source static characteristic parameters, and adjusting the light source characteristic 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, 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 standardized feature vector, and perform dimension reduction on the standardized feature vector to obtain an error correction matrix and a dynamic control matrix; A calculation module, used to calculate the light source response mapping relationship using the error correction matrix to obtain a light source compensation signal, and to adjust the control parameters of the digital light source controller using the dynamic control matrix to obtain a light source dynamic adjustment parameter; A generating module is used to calculate the dynamic adjustment parameters of the light source using the light source compensation signal to obtain a light source control optimization strategy, and generate a light source test result according to the light source control optimization strategy.

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