Multi-spectrum LED detection light source synchronization control method, device, equipment and storage medium

Abstract

The present invention relates to the field of light source control technology, and discloses a method, device, equipment and storage medium for synchronous control of a multi-spectrum LED detection light source. The method includes: double interleaved spectral data sampling of the light source and baseline extraction and compensation correction of preset three-dimensional spectral parameters; mapping of multi-dimensional mixed domain timing characteristics and decomposition of working characteristic tensors of the corrected calibration spectral data, as well as recursive phase modulation and group delay compensation calculation; performing crosstalk compensation and suppression reconstruction of multi-harmonic components on the light source phase compensation vector of the compensation calculation to generate light source correction control data; synthesizing the light source drive signal of the light source correction control data to obtain a light source drive waveform sequence, and performing light source channel allocation and synchronous adjustment on the light source drive waveform sequence to generate a light source synchronization control result of the target multi-spectrum LED detection light source. The present application realizes high-precision synchronous control of a multi-spectrum LED detection light source.

Description

Technical Field

[0001] The present invention relates to the field of light source control technology, and in particular to a method, device, equipment and storage medium for synchronously controlling a multi-spectrum LED detection light source. Background Art

[0002] In the field of multi-spectral LED detection and control, light source synchronization control technology is a key link to ensure detection accuracy and reliability, and the precise synchronization of multi-channel LED light sources is one of the most challenging technical difficulties. Accurately controlling the timing synchronization of multiple LED light source channels is crucial to the performance of the spectral detection system, which directly affects the accuracy of the detection results, system stability and overall detection efficiency. Therefore, an efficient synchronization control method to manage multi-channel LED light sources is essential to ensure the reliability and accuracy of the spectral detection system.

[0003] Nowadays, digital phase-locked loop technology is used to achieve inter-channel synchronization, or adaptive control algorithms are tried to be applied to the LED driving process to improve synchronization accuracy and system stability. However, these methods still have challenges such as insufficient crosstalk compensation, large phase drift, and poor environmental adaptability. In addition, these control methods often ignore some unique characteristics of multi-spectral LED detection systems, such as spectral interference, temperature drift, and device aging, which may have a significant impact on detection accuracy and system performance. That is, the existing multi-spectral LED detection light source synchronization control method ignores a variety of influencing factors and the special characteristics of the LED light source system, resulting in low synchronization control accuracy for multi-spectral LED detection light sources. Summary of the invention

[0004] The main purpose of the present invention is to solve the problem that the existing multi-spectrum LED detection light source synchronization control method ignores various influencing factors and special characteristics of the LED light source system, resulting in low synchronization control accuracy of the multi-spectrum LED detection light source.

[0005] A first aspect of the present invention provides a method for synchronously controlling a multi-spectrum LED detection light source, the method comprising: performing double interleaved spectral data sampling on a target multi-spectrum LED detection light source to obtain original spectral data, and performing baseline extraction and compensation correction of preset three-dimensional spectral parameters on the original spectral data to obtain calibrated spectral data; mapping the calibrated spectral data of multi-dimensional mixed domain timing characteristics and decomposing the working characteristic tensor to obtain light source working characteristic data, and performing recursive phase modulation and group delay compensation calculation on the light source working characteristic data to obtain a light source phase compensation vector; performing crosstalk compensation of multi-level LED light source channels on the light source phase compensation vector to obtain a light source phase compensation vector after crosstalk compensation, and performing multi-harmonic component suppression reconstruction on the light source phase compensation vector after crosstalk compensation to generate light source correction control data; synthesizing a light source drive signal on the light source correction control data to obtain a light source drive waveform sequence, and performing light source channel allocation and synchronous adjustment on the light source drive waveform sequence to generate a light source synchronization control result of the target multi-spectrum LED detection light source.

[0006] Optionally, in a first implementation method of the first aspect of the present invention, the double interleaved spectral data sampling of the target multi-spectrum LED detection light source to obtain original spectral data includes: based on the acquisition trigger timing and acquisition channel sequence number corresponding to the target multi-spectrum LED detection light source, performing reference clock alignment and jitter compensation on a preset interleaved sampling spectral sequence to obtain a synchronous sampling spectral sequence, and based on the synchronous sampling spectral sequence, performing multi-channel parallel wavelength scanning and spectral acquisition on the target multi-spectrum LED detection light source to obtain instantaneous spectral acquisition data; performing channel integration and energy accumulation on the instantaneous spectral acquisition data to obtain a cumulative energy spectrum, and performing quantization bit adjustment and nonlinear mapping on the cumulative energy spectrum to obtain a digital spectral sequence; based on the synchronous sampling spectral sequence, reconstructing the digital spectral sequence in time dimension to obtain a synchronous spectral matrix, and performing spectral data verification and integrity detection on the synchronous spectral matrix to obtain original spectral data.

[0007] Optionally, in a second implementation manner of the first aspect of the present invention, the baseline extraction and compensation correction of preset three-dimensional spectral parameters of the original spectral data to obtain calibrated spectral data includes: based on the preset three-dimensional spectral parameters, performing multi-dimensional sliding segmentation on the original spectral data to obtain a light source baseline characteristic function, and performing temperature and time compensation correction on the baseline characteristic function to obtain a multi-dimensional light source compensation function; extracting the timing deviation value between each baseline channel in the multi-dimensional light source compensation function, and based on the timing deviation value, synchronously correcting the baseline value corresponding to each light source channel in the multi-dimensional light source compensation function to obtain a time-aligned dynamic light source baseline sequence; based on the preset marking point features, performing polynomial marking point fitting adjustment on the dynamic light source baseline sequence to obtain a smoothed light source baseline function, and based on the smoothed light source baseline function, performing a three-dimensional baseline subtraction operation on the original spectral data to obtain net spectral data; performing multi-channel cascade filtering and signal threshold weighted reconstruction on the net spectral data to obtain calibrated spectral data.

[0008] Optionally, in a third implementation of the first aspect of the present invention, the mapping of multi-dimensional mixed-domain time series features and decomposition of working feature tensors on the calibration spectral data to obtain light source working feature data includes: performing frequency domain transform and wavelet transform on the calibration spectral data respectively to obtain dual-domain time-frequency feature distribution, and extracting multi-threshold peaks and tracking feature trajectories on the dual-domain time-frequency feature distribution to obtain a light source channel feature point sequence; performing median screening and mean envelope calculation on the light source channel feature point sequence to obtain feature point intrinsic modal components, and performing The method extracts instantaneous frequency features and performs weighted operations on the features to obtain multi-channel modulation features; performs high-order statistics calculation and energy transfer ratio calculation between light source channels on the multi-channel modulation features to generate light source channel correlation tensors, and performs eigenvalue decomposition and subspace mapping on the light source channel correlation tensors to obtain light source synchronization feature vectors; constructs an LED light source state transfer matrix and an LED light source observation matrix corresponding to the light source synchronization feature vectors, performs multi-matrix parameter adjustment on the LED light source state transfer matrix and the LED light source observation matrix, and reconstructs and generates light source working feature data of LED light source characteristics.

[0009] Optionally, in a fourth implementation method of the first aspect of the present invention, the recursive phase modulation and group delay compensation calculation of the light source working characteristic data to obtain a light source phase compensation vector includes: performing frequency-dependent group delay calculation of multiple light source channels on the light source working characteristic data to obtain a delay characteristic function group, and evaluating and compensating for high-order dispersion between light source channels on the delay characteristic function group to obtain a spectral dispersion compensation function; constructing a phase difference matrix of each light source channel in the target multi-spectrum LED detection light source based on the spectral dispersion compensation function, and performing multi-order phase accumulation of multiple light source channels on the phase difference matrix to obtain a spectral phase response function; performing transition point detection and compensation on the phase data in the spectral phase response function to obtain a spectral continuous phase sequence, and performing phase prediction compensation for multiple light source channels on the spectral continuous phase sequence to obtain a light source phase compensation vector.

[0010] Optionally, in a fifth implementation manner of the first aspect of the present invention, the light source phase compensation vector is subjected to crosstalk compensation of multiple LED light source channels to obtain a light source phase compensation vector after crosstalk compensation, and the light source phase compensation vector after crosstalk compensation is subjected to suppression and reconstruction of multiple harmonic components to generate light source correction control data, including: based on the light source phase compensation vector, a multidimensional crosstalk transfer function between the luminous intensity and wavelength coupling of multiple light source channels of the target multi-spectrum LED detection light source is constructed, and the photoelectric coupling path between each light source channel is tracked on the multidimensional crosstalk transfer function to obtain a light source coupling path matrix; the spectral energy transfer between each light source channel of the source coupling path matrix is ​​calculated to obtain an energy attenuation coefficient group between the light source channels, and based on a preset segmented wavelength, the energy attenuation coefficient group is subjected to light intensity balancing to obtain a wavelength domain compensation function; the wavelength domain compensation function is subjected to multi-level harmonic frequency selective suppression to obtain a spectral purity enhancement coefficient, and the spectral purity enhancement coefficient is subjected to multi-dimensional spectral coefficient reconstruction to obtain light source correction control data.

[0011] Optionally, in a sixth implementation method of the first aspect of the present invention, the light source correction control data is synthesized into a light source driving signal to obtain a light source driving waveform sequence, including: performing piecewise linear operation of light source control on the light source correction control data to obtain a light source segmented control quantity, and performing multi-carrier modulation on the light source segmented control quantity to obtain a composite modulation function; performing dynamic quantization encoding of light source synchronous control on the composite modulation function to obtain a multi-level synchronous control flow, and performing light source dead zone compensation on the multi-level synchronous control flow to obtain an optimized multi-level synchronous control flow; optimizing the transient response characteristics of the light source on the optimized multi-level synchronous control flow to obtain a light source optimized control waveform, and performing nonlinear power mapping on the light source optimized control waveform to obtain a light source driving waveform sequence.

[0012] The second aspect of the present invention provides a multi-spectrum LED detection light source synchronization control device, which includes: a calibration module, which is used to perform double interleaved spectral data sampling on a target multi-spectrum LED detection light source to obtain original spectral data, and perform baseline extraction and compensation correction of preset three-dimensional spectral parameters on the original spectral data to obtain calibration spectral data; a compensation module, which is used to map the multi-dimensional hybrid domain timing characteristics and decompose the working characteristic tensor on the calibration spectral data to obtain light source working characteristic data, and perform recursive phase modulation and group delay compensation calculation on the light source working characteristic data to obtain a light source phase compensation vector; a reconstruction module, which is used to perform crosstalk compensation of multi-level LED light source channels on the light source phase compensation vector to obtain a light source phase compensation vector after crosstalk compensation, and perform multi-harmonic component suppression reconstruction on the light source phase compensation vector after crosstalk compensation to generate light source correction control data; an allocation module, which is used to synthesize a light source drive signal on the light source correction control data to obtain a light source drive waveform sequence, and perform light source channel allocation and synchronization adjustment on the light source drive waveform sequence to generate a light source synchronization control result of the target multi-spectrum LED detection light source.

[0013] The third aspect of the present invention provides a multi-spectrum LED detection light source synchronization control device, comprising: a memory and at least one processor, wherein the memory stores instructions; the at least one processor calls the instructions in the memory so that the multi-spectrum LED detection light source synchronization control device performs each step of the above-mentioned multi-spectrum LED detection light source synchronization control method.

[0014] A fourth aspect of the present invention provides a computer-readable storage medium, in which instructions are stored, which, when executed on a computer, enable the computer to execute the various steps of the above-mentioned multi-spectrum LED detection light source synchronization control method.

[0015] The above-mentioned multi-spectrum LED detection light source synchronization control method, device, equipment and storage medium. In the embodiment of the present invention, the original spectral data is obtained by performing double interleaved spectral data sampling on the target multi-spectrum LED detection light source, and the baseline extraction and compensation correction of the preset three-dimensional spectral parameters are performed on the original spectral data to obtain the calibration spectral data; the calibration spectral data is mapped with multi-dimensional mixed domain timing characteristics and decomposed into working characteristic tensors to obtain light source working characteristic data, and the light source working characteristic data is modulated by recursive phase and group delay compensation calculation to obtain the light source phase compensation vector; the light source phase compensation vector is crosstalk compensated for multi-level LED light source channels to obtain the light source phase compensation vector after crosstalk compensation, and the light source phase compensation vector after crosstalk compensation is suppressed and reconstructed by multi-harmonic components to generate light source correction control data; the light source correction control data is synthesized with the light source drive signal to obtain the light source drive waveform sequence, and the light source drive waveform sequence is allocated and synchronously adjusted to generate the light source synchronization control result of the target multi-spectrum LED detection light source. Compared with the prior art, the present application obtains accurate spectral data by performing double interleaved sampling and baseline calibration on the multi-spectral LED detection light source, and then obtains the working characteristics of the light source through multi-dimensional hybrid domain timing feature mapping and feature tensor decomposition, and realizes phase synchronization through recursive phase modulation and group delay compensation; then the compensation vector is subjected to multi-level crosstalk compensation and harmonic suppression processing; the processed control data is synthesized into a driving waveform sequence, and channel allocation and synchronization adjustment are performed, so as to realize the precise synchronization of the multi-channel LED light source, fully consider the crosstalk characteristics between different channels, effectively reduce the phase jitter of the system, and adopt multi-level compensation and harmonic suppression strategies, which not only ensure the synchronization accuracy, but also improve the stability, thereby realizing the high-precision synchronization control of the multi-spectral LED detection light source as a whole. At the same time, the acquisition accuracy of the spectral data is improved through double interleaved sampling, the influence of temperature drift is eliminated through three-dimensional baseline calibration, and the feature extraction capability is enhanced through multi-dimensional hybrid domain analysis, so that the synchronization control performance is significantly improved.

[0016] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention are realized and obtained by the structures particularly pointed out in the description, claims and drawings.

[0017] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 It is a schematic diagram of a first embodiment of a method for synchronously controlling a multi-spectrum LED detection light source according to an embodiment of the present invention;

[0019] Figure 2 A schematic diagram of an embodiment of a multi-spectrum LED detection light source synchronization control device in an embodiment of the present invention;

[0020] Figure 3 It is a schematic diagram of an embodiment of a multi-spectrum LED detection light source synchronization control device in an embodiment of the present invention. DETAILED DESCRIPTION

[0021] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. 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.

[0022] The terms "including" and "having" and any variations thereof mentioned in the embodiments of the present invention are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device end including a series of steps or units is not limited to the listed steps or units, but may optionally include other steps or units that are not listed, or may optionally include other steps or units that are inherent to these processes, methods, products or device ends.

[0023] To facilitate understanding of this embodiment, the specific process of the embodiment of the present invention is described below. Figure 1 The first embodiment of the method for synchronously controlling a multi-spectrum LED detection light source in the embodiment of the present invention includes:

[0024] 101. Perform double interleaved spectral data sampling on the target multi-spectral LED detection light source to obtain original spectral data, and perform baseline extraction and compensation correction of preset three-dimensional spectral parameters on the original spectral data to obtain calibrated spectral data;

[0025] The embodiments of the present application can acquire and process relevant data based on artificial intelligence technology. Artificial Intelligence (AI) is the theory, method, technology and application system that uses digital computers or machines controlled by digital computers to simulate, extend and expand human intelligence, perceive the environment, acquire knowledge and use knowledge to obtain the best results.

[0026] AI basic technologies generally include sensors, dedicated AI chips, cloud computing, distributed storage, big data processing technology, operation / interaction systems, mechatronics, etc. AI software technologies mainly include computer vision technology, robotics technology, biometrics technology, speech processing technology, natural language processing technology, and machine learning / deep learning.

[0027] In this embodiment, the target multi-spectrum LED detection light source here refers to a composite light source system composed of multiple controllable LEDs for spectral detection; the three-dimensional spectral parameters here refer to the wavelength-channel-time three-dimensional parameters; based on the acquisition trigger timing and acquisition channel sequence number corresponding to the target multi-spectrum LED detection light source, the preset interleaved sampling spectrum sequence is subjected to reference clock alignment and jitter compensation to obtain a synchronous sampling spectrum sequence, and based on the synchronous sampling spectrum sequence, the target multi-spectrum LED detection light source is subjected to multi-channel parallel wavelength scanning and spectrum acquisition to obtain instantaneous spectrum acquisition data; the instantaneous spectrum acquisition data is subjected to channel integration and energy accumulation to obtain a cumulative energy spectrum, and the cumulative energy spectrum is subjected to quantization bit adjustment and nonlinear mapping to obtain a digital spectrum sequence; based on the synchronous sampling spectrum sequence, the digital spectrum sequence is reconstructed in time dimension to obtain a synchronous spectrum matrix, and the The synchronous spectral matrix performs spectral data verification and integrity detection to obtain original spectral data; based on the preset three-dimensional spectral parameters, the original spectral data is subjected to multi-dimensional sliding segmentation to obtain the light source baseline characteristic function, and the baseline characteristic function is subjected to temperature and time compensation correction to obtain the multi-dimensional light source compensation function; the timing deviation value between each baseline channel in the multi-dimensional light source compensation function is extracted, and based on the timing deviation value, the baseline value corresponding to each light source channel in the multi-dimensional light source compensation function is synchronously corrected to obtain a dynamic light source baseline sequence with timing alignment; based on the preset marking point feature, the dynamic light source baseline sequence is subjected to polynomial marking point fitting adjustment to obtain a smooth light source baseline function, and based on the smooth light source baseline function, the original spectral data is subjected to a three-dimensional baseline subtraction operation to obtain net spectral data; the net spectral data is subjected to multi-channel cascade filtering and signal threshold weighted reconstruction to obtain calibrated spectral data.

[0028] In practical applications, firstly, based on the sampling trigger timing of each channel of the target LED light source (referring to the sampling start time sequence of each LED light source channel, the sampling time point of each channel is arranged in a subdivided timing manner) and the channel number (referring to the number identification of each wavelength channel in the multi-spectral LED system, usually sorted from short to long according to the wavelength), a preset staggered sampling strategy (referring to the sampling method of staggering the sampling processes of multiple channels) is used for initial sampling, that is, by setting a master-slave group trigger control circuit, a different sampling delay is set for each LED channel, so that the sampling times of adjacent channels are staggered to avoid mutual interference during sampling, and then a high-precision clock source is used to generate a reference synchronization signal, and the clock of each channel sampling sequence is aligned. At the same time, a phase-locked loop circuit is introduced to track and compensate for the jitter of the sampling timing in real time to ensure that a stable synchronous sampling spectrum sequence is obtained; then, based on the obtained synchronous sampling spectrum sequence, the wavelength of the target multi-spectrum LED detection light source is scanned, that is, a fiber optic spectrometer array is used, and each channel is equipped with an independent photodetector, which can simultaneously collect the spectra of different LED channels and perform wavelength scanning. During the scanning process, the preset wavelength range is continuously scanned by controlling the grating or filter assembly, so as to obtain the instantaneous spectrum acquisition data of each LED channel; then, for the collected instantaneous spectrum data, a suitable integration time window is set according to the photoelectric characteristics of each channel, and the light intensity integration operation is performed, and the multiple sampling results are accumulated and averaged to obtain a stable cumulative energy spectrum, and then according to the corresponding signal-to-noise ratio characteristics of the multi-spectral LED system, the quantization bit is dynamically adjusted, and the spectrum data is converted through a nonlinear mapping function to optimize the dynamic range of the data, and finally a high-precision digital spectrum sequence is obtained; then, after obtaining the digital spectrum sequence, the data is reconstructed in the time dimension in combination with the time information recorded in the synchronous sampling spectrum sequence, wherein, in the reconstruction process, a three-dimensional data structure of wavelength-intensity-time is established, and then the spectrum data of each channel is mapped to the corresponding time point according to the sampling timing to form a complete synchronous spectrum matrix, and the reconstructed spectrum data is ensured to be accurate and reliable without loss or error by calculating the checksum and performing data integrity detection, so as to obtain the original spectrum data matrix. For example, assuming that the target multi-spectrum LED detection light source contains 5 channels, with central wavelengths of 460nm, 520nm, 590nm, 630nm and white light LED, and a sampling frequency of 1MHz, the interleaved sampling timing can be set to {0μs, 0.2μs, 0.4μs, 0.6μs, 0.8μs}, and the sampling timing deviation can be controlled within ±5ns through the clock synchronization compensation function H(t). In the wavelength scanning range of 380-780nm, parallel scanning is performed with a step size of 2nm, and the 16-bit ADC data is compressed to 12 bits using the nonlinear quantization mapping function Q(x). Finally, the original spectral data matrix of 201×5×1000 dimensions is obtained through tensor decomposition and reconstruction.

[0029] Secondly, according to the preset three-dimensional spectral parameters, including wavelength dimension, channel dimension and time dimension, the acquired raw spectral data is segmented by multi-dimensional sliding windows, that is, by moving the analysis window simultaneously in three dimensions, the local minimum point in each window is extracted, and the initial light source baseline characteristic function is constructed by combining parameters such as window size and overlap rate. In view of the temperature drift characteristics and time accumulation effect of the LED light source, a two-dimensional compensation function, namely the temperature compensation coefficient and the time correction factor, is introduced to perform double compensation correction on the baseline characteristic function, wherein the temperature compensation takes into account the temperature response difference of different LED channels, and the time correction takes into account the performance attenuation during long-term operation, thereby obtaining a multi-dimensional light source compensation function containing temperature and time information; and then the timing deviation information between each baseline channel is extracted from the multi-dimensional light source compensation function, that is, by calculating the cross-correlation function of the baseline values ​​of adjacent channels, the time offset corresponding to the maximum correlation point is determined, and the timing deviation mapping relationship between the channels is established. Based on the timing deviation value, the interpolation algorithm is used to perform time domain resampling and synchronous correction on the baseline value of each light source channel to ensure that the baseline sequences of all channels are strictly aligned in the time dimension. Finally A dynamic light source baseline sequence with good timing characteristics is obtained; then, key marking points are selected according to the spectral characteristics, including spectral peak points, valley points and inflection points, and then a piecewise polynomial function is used to fit these marking points, and the fitting effect is optimized by adjusting the polynomial coefficients to obtain a smooth light source baseline function, and the smooth baseline function is used to perform a three-dimensional baseline subtraction operation on the original spectral data, wherein the operation simultaneously considers the baseline influence of the three dimensions of wavelength, channel and time, and realizes rapid baseline correction through matrix operation, so as to obtain net spectral data without baseline drift; then, a multi-channel cascade filtering process is performed on the net spectral data, wherein the filter group adopts a low-pass, band-pass and high-pass filter cascade structure, and the cutoff frequency and bandwidth parameters of each level of filter are adaptively adjusted according to the signal-to-noise ratio. At the same time, the amplitude of the filtered signal is judged by setting a dynamic threshold, and the abnormal signal exceeding the threshold range is suppressed, and the signal is reconstructed in combination with the weight coefficients of each channel, and finally the calibration spectral data with low noise level and high signal quality is obtained, and the problem of baseline drift in the LED light source system is solved through multi-dimensional analysis and multi-level processing, and the quality of spectral data is improved.

[0030] 102. Mapping the calibration spectrum data into multi-dimensional mixed domain time series features and decomposing the working feature tensor to obtain the light source working feature data, and performing recursive phase modulation and group delay compensation calculation on the light source working feature data to obtain the light source phase compensation vector;

[0031] In this embodiment, the calibration spectrum data is subjected to frequency domain transformation and wavelet transformation respectively to obtain dual-domain time-frequency feature distribution, and multi-threshold peak extraction and feature trajectory tracking are performed on the dual-domain time-frequency feature distribution to obtain a light source channel feature point sequence; the light source channel feature point sequence is subjected to median screening of feature points and calculation of mean envelope to obtain feature point intrinsic modal components, and the instantaneous frequency features are extracted and feature weighting operations are performed on the feature point intrinsic modal components to obtain multi-channel modulation features; the multi-channel modulation features are subjected to high-order statistics calculation and energy transfer ratio calculation between light source channels to generate a light source channel correlation tensor, and the light source channel correlation tensor is subjected to eigenvalue decomposition and subspace mapping to obtain a light source synchronization feature vector; an LED light source state transfer matrix and an LED light source observation matrix corresponding to the light source synchronization feature vector are constructed, The LED light source state transfer matrix and the LED light source observation matrix are subjected to multi-matrix parameter adjustment to reconstruct and generate light source working characteristic data of LED light source characteristics; the light source working characteristic data are subjected to frequency-dependent group delay calculation of multiple light source channels to obtain a delay characteristic function group, and the delay characteristic function group is subjected to evaluation and compensation of high-order dispersion between light source channels to obtain a spectral dispersion compensation function; based on the spectral dispersion compensation function, a phase difference matrix of each light source channel in the target multi-spectrum LED detection light source is constructed, and the phase difference matrix is ​​subjected to multi-order phase accumulation of multiple light source channels to obtain a spectral phase response function; the phase data in the spectral phase response function is subjected to transition point detection and compensation to obtain a spectral continuous phase sequence, and the spectral continuous phase sequence is subjected to phase prediction compensation of multiple light source channels to obtain a light source phase compensation vector.

[0032] In practical applications, short-time Fourier transform and continuous wavelet transform are first performed on the calibrated spectral data simultaneously to obtain the time-frequency feature distribution of dual characterization in the time domain and frequency domain. Based on the preset multi-level threshold, the characteristic peak detection is performed on the dual-domain time-frequency feature distribution, and the dynamic programming algorithm is used to track the trajectory of the feature points to ensure that the key feature changes of each channel of the LED light source are captured, and finally a sequence of light source channel feature points containing time-frequency feature evolution information is obtained; then the sliding window method is used to calculate the local median of the feature points, and the abnormal points and noise interference are eliminated. Then, the Hilbert transform is used to construct the analytical signal of the feature points, and the mean envelope of the feature is obtained by calculating the upper and lower envelopes, so as to extract the intrinsic modal components reflecting the intrinsic characteristics of the LED light source. Then, based on these intrinsic modal components, the instantaneous phase and instantaneous amplitude are calculated to obtain the instantaneous frequency characteristics of each channel of the LED light source, and the feature weight is determined according to the spectral energy distribution of each channel. The feature vector describing the multi-channel modulation characteristics is obtained by weighted combination; then the multi-channel modulation characteristics are analyzed by high-order statistics, including Statistical features such as high-order moments and high-order cumulants are calculated, and the energy transfer ratio between channels is calculated at the same time. A multidimensional correlation tensor describing the channel coupling relationship is constructed, and the tensor decomposition method is used to map the high-dimensional correlation information to the low-dimensional feature space, extract the main synchronization mode, and obtain the characteristic vector reflecting the synchronization characteristics of the LED light source through subspace projection; then the state space model of the LED light source system is constructed, that is, the state transfer matrix is ​​established according to the synchronization characteristic vector to describe the dynamic evolution law of the state of each channel of the LED light source, and the observation matrix is ​​established to describe the mapping relationship between the system output and the state variable, so that the parameters of the state transfer matrix and the observation matrix are jointly adjusted through an iterative optimization algorithm to minimize the error between the model output and the actual observation data, and then based on the optimized matrix parameters, the characteristic data that fully describes the working characteristics of the LED light source is reconstructed. The data contains many aspects of information such as the dynamic characteristics, synchronization characteristics and steady-state characteristics of the light source. Through multi-dimensional signal processing and feature extraction, the accurate characterization of the complex dynamic characteristics of the LED light source system is achieved.

[0033] Secondly, the frequency-dependent group delay analysis is performed on the extracted light source working characteristic data, that is, by calculating the phase-frequency derivative relationship of each LED channel spectrum, the group delay function that characterizes the signal transmission delay characteristics is obtained. At the same time, considering the frequency response difference between channels, a function group containing multiple channel delay characteristics is established. Then, for the high-order dispersion effect in the LED light source system, the group delay characteristics are modeled through Taylor series expansion, and the influence of first-order dispersion, second-order dispersion and even high-order dispersion is evaluated respectively. The corresponding compensation filter group is designed to compensate for each order of dispersion step by step, and finally a spectral dispersion compensation function that eliminates the dispersion effect is obtained; then, based on the obtained spectral dispersion compensation function, a phase difference matrix reflecting the global phase distribution is constructed by analyzing the phase difference between adjacent channels. The construction formula of the phase difference matrix is:

[0034] ;

[0035] in, is the phase difference between channels i and j, is the channel transfer function, D(ω,k) is the dispersion compensation function of channel k at frequency ω, is the conjugate of the transfer function from reference channel k to channel j, t0 is the reference time, is the square of the time difference between the current moment and the reference moment, λ is the time attenuation coefficient, which controls the decay rate of the phase difference over time (for example, in a 6-channel LED system, 15 independent phase difference components need to be calculated), and the matrix contains the phase relationship between all channels, and then the phase difference matrix is ​​subjected to multi-order accumulation processing, that is, starting from the fundamental frequency phase, the phase contribution of each harmonic component is accumulated one by one, and the phase coupling effect between channels is considered at the same time, and finally the spectral phase response function describing the overall phase characteristics of the system is obtained; then the phase sequence is scanned by setting a dynamic threshold to identify the position of the phase mutation point, and then these jump points are phase-separated according to the principle of phase continuity. The bit unwrapping process eliminates the discontinuity caused by the 2π jump, and the adaptive Kalman filter is used to predict the processed phase sequence. The filter can predict the phase deviation at the future moment according to the change trend of the historical phase data, so as to achieve advance compensation, and then compare and optimize the predicted phase compensation amount with the actual phase deviation. The compensation parameters are continuously adjusted through the recursive least squares algorithm, and finally the compensation vector that can achieve accurate phase synchronization is obtained. Through group delay analysis, dispersion compensation, phase accumulation and prediction compensation and other links, the phase characteristics of the LED light source system are accurately controlled, providing a reliable compensation basis for subsequent synchronous driving. At the same time, the nonlinear characteristics and dynamic change characteristics in the LED light source system are fully considered, and the real-time optimization of the compensation parameters is achieved through the adaptive algorithm to ensure the accuracy of the phase compensation.

[0036] 103. Perform crosstalk compensation of multi-level LED light source channels on the light source phase compensation vector to obtain the light source phase compensation vector after crosstalk compensation, and suppress and reconstruct the multi-harmonic components of the light source phase compensation vector after crosstalk compensation to generate light source correction control data;

[0037] In this embodiment, based on the light source phase compensation vector, a multidimensional crosstalk transfer function between the luminous intensity and wavelength coupling of the multi-light source channels of the target multi-spectrum LED detection light source is constructed, and the photoelectric coupling path between the light source channels is traced on the multidimensional crosstalk transfer function to obtain a light source coupling path matrix; the spectral energy transfer between the light source channels is calculated on the source coupling path matrix to obtain an energy attenuation coefficient group between the light source channels, and based on a preset segmented wavelength, the energy attenuation coefficient group is intensity balanced to obtain a wavelength domain compensation function; the wavelength domain compensation function is subjected to multi-level harmonic frequency selective suppression to obtain a spectral purity enhancement coefficient, and the spectral purity enhancement coefficient is reconstructed by multi-dimensional spectral coefficients to obtain light source correction control data.

[0038] In practical applications, based on the obtained light source phase compensation vector, the coupling relationship between the luminous intensity and wavelength of each LED channel is analyzed, that is, by establishing a nonlinear mapping relationship between the luminous spectrum of each LED channel and the driving current, and considering the spectral overlap effect between adjacent channels, a multidimensional transfer function describing the crosstalk characteristics between multiple channels is constructed, and then the crosstalk propagation path between each LED channel is tracked by a photoelectric coupling analyzer, and the distribution characteristics of the light intensity crosstalk in the spatial and spectral dimensions are recorded. The coupling intensity and propagation characteristics between each channel are expressed in a matrix form, and finally a complete light source coupling path matrix is ​​obtained; then the spectral energy transfer efficiency between each pair of adjacent channels is calculated, and the combined influence of the spectral overlap and spatial coupling is considered to obtain a coefficient group characterizing the energy attenuation characteristics, so that according to the pre-set wavelength segmentation scheme, the energy attenuation coefficient group is segmented, and the corresponding light intensity balancing strategy is designed for different wavelength intervals. The compensation coefficient of each wavelength segment is adjusted through an iterative optimization algorithm, and finally a wavelength domain compensation function that can achieve light intensity balancing over the entire wavelength range is obtained. number; then a multi-stage harmonic trap group is adopted, and frequency-selective suppression units with different center frequencies are designed according to the harmonic distribution characteristics in the LED driving signal. The step-by-step suppression of each harmonic is realized through a cascade structure. At the same time, an adaptive threshold control mechanism is introduced to dynamically adjust the suppression depth according to the signal-to-noise ratio of each channel to ensure that the effective signal is not affected while the harmonics are suppressed to the maximum extent, thereby obtaining an enhancement coefficient for improving the spectral purity. Then, a spectral coefficient matrix including three dimensions of wavelength, intensity and time is established, and then the coefficients are optimized according to the weight relationship of each dimension. The optimal control parameter combination is obtained through iterative calculation. In addition, the coefficient optimization process not only considers the static spectral characteristics, but also includes the dynamic response characteristics. The precise control of the LED light source system is realized through comprehensive optimization, so that the obtained light source correction control data not only ensures the high purity of the spectrum, but also maintains the good synchronization between the channels, providing a reliable control basis for achieving high-quality multi-spectral LED detection. In addition, the crosstalk problem in the multi-channel LED system is effectively solved, and the spectral performance is significantly improved.

[0039] 104. Synthesize the light source driving signal of the light source correction control data to obtain a light source driving waveform sequence, and perform light source channel allocation and synchronization adjustment on the light source driving waveform sequence to generate a light source synchronization control result of the target multi-spectrum LED detection light source.

[0040] In this embodiment, the light source correction control data is subjected to piecewise linear operation of light source control to obtain a piecewise control quantity of the light source, and the piecewise control quantity of the light source is subjected to multi-carrier modulation to obtain a composite modulation function; the composite modulation function is subjected to dynamic quantization encoding of light source synchronization control to obtain a multi-level synchronization control flow, and the multi-level synchronization control flow is subjected to light source dead zone compensation to obtain an optimized multi-level synchronization control flow; the optimized multi-level synchronization control flow is subjected to optimization of light source transient response characteristics to obtain a light source optimized control waveform, and the light source optimized control waveform is subjected to nonlinear power mapping to obtain a light source driving waveform sequence.

[0041] In practical applications, the control data is divided into different intervals according to the working characteristics of the LED through light source correction. The linear approximation method is used in each interval to establish the mapping relationship between the control quantity and the driving current. The nonlinear characteristics are accurately described by piecewise functions to obtain the piecewise control quantity. Then, a multi-carrier modulation strategy is adopted to select multiple orthogonal carrier signals as the modulation basis functions. According to the characteristics of different LED channels, the corresponding carrier parameters are allocated. The complex modulation function is realized by carrier superposition, and finally a composite modulation function containing multiple channel modulation information is formed. Then, according to the dynamic range requirements of the target multi-spectrum LED detection light source, the quantization interval is dynamically adjusted by real-time monitoring of the signal amplitude distribution by using the pre-designed adaptive quantizer. At the same time, considering the response characteristics of each LED channel, different quantization accuracies are used to generate multi-level synchronous control flows. In view of the dead zone effect in the LED driving circuit, a dead zone characteristic model is established to calculate the dead zone compensation of each channel. The pre-compensation method is used to eliminate the influence of the dead zone nonlinearity on the control accuracy, and the multi-level synchronous control flow optimized by dead zone compensation is obtained. Then, by analyzing the LE The rise time and fall time characteristics of the D device are taken into consideration, and the transient edge of the control signal is pre-distorted to compensate for the hysteresis effect of the LED response. At the same time, the pre-compensation parameters are adjusted in real time by feedback correction, and finally an optimized control waveform of the light source with good transient performance is obtained. In addition, the nonlinear power characteristics of the LED are considered, and a nonlinear mapping model between the driving current and the light output power is established. Accurate power control is achieved by lookup table or polynomial fitting, and the optimized control waveform is converted into an actual driving waveform sequence. Then, according to the physical position and spectral characteristics of each LED channel, the optimal channel allocation scheme is determined, and the timing relationship of the driving signal is reasonably arranged, so that the precise synchronization of the driving signals of each channel is achieved through the phase-locked loop circuit, and the phase deviation of each channel is dynamically adjusted to ensure that multiple LED channels can work together according to the predetermined timing. At the same time, a real-time feedback mechanism is introduced to fine-tune the synchronization parameters by monitoring the actual output of each channel, and compensate for the synchronization drift that may occur during the operation of the system, and finally generate a driving signal that can achieve high-precision synchronous control, so as to achieve precise driving and synchronous control of the multi-spectrum LED detection light source.

[0042] In the embodiment of the present invention, accurate spectral data is obtained by performing double interleaved sampling and baseline calibration on the multi-spectral LED detection light source, and then the working characteristics of the light source are obtained through multi-dimensional hybrid domain timing feature mapping and feature tensor decomposition, and phase synchronization is achieved through recursive phase modulation and group delay compensation; then the compensation vector is subjected to multi-level crosstalk compensation and harmonic suppression processing; the processed control data is synthesized into a driving waveform sequence, and channel allocation and synchronization adjustment are performed, so as to achieve accurate synchronization of the multi-channel LED light source, fully consider the crosstalk characteristics between different channels, effectively reduce the phase jitter of the system, and adopt multi-level compensation and harmonic suppression strategies, which not only ensure the synchronization accuracy, but also improve the stability, thereby realizing high-precision synchronization control of the multi-spectral LED detection light source as a whole. At the same time, the acquisition accuracy of the spectral data is improved through double interleaved sampling, the influence of temperature drift is eliminated through three-dimensional baseline calibration, and the feature extraction capability is enhanced through multi-dimensional hybrid domain analysis, so that the synchronization control performance is significantly improved.

[0043] The above describes the synchronous control method of the multi-spectrum LED detection light source in the embodiment of the present invention. The following describes the synchronous control device of the multi-spectrum LED detection light source in the embodiment of the present invention. Figure 2 , an embodiment of a multi-spectrum LED detection light source synchronization control device in an embodiment of the present invention includes:

[0044] The calibration module 201 is used to perform double interleaved spectral data sampling on the target multi-spectral LED detection light source to obtain original spectral data, and perform baseline extraction and compensation correction of preset three-dimensional spectral parameters on the original spectral data to obtain calibration spectral data;

[0045] The compensation module 202 is used to map the multi-dimensional mixed domain timing characteristics and decompose the working characteristic tensor of the calibration spectrum data to obtain the light source working characteristic data, and perform recursive phase modulation and group delay compensation calculation on the light source working characteristic data to obtain the light source phase compensation vector;

[0046] A reconstruction module 203 is used to perform crosstalk compensation of multi-stage LED light source channels on the light source phase compensation vector to obtain the light source phase compensation vector after crosstalk compensation, and suppress and reconstruct the light source phase compensation vector after crosstalk compensation by suppressing multiple harmonic components to generate light source correction control data;

[0047] The allocation module 204 is used to synthesize the light source driving signal of the light source correction control data to obtain the light source driving waveform sequence, and perform light source channel allocation and synchronization adjustment on the light source driving waveform sequence to generate the light source synchronization control result of the target multi-spectrum LED detection light source.

[0048] In the embodiment of the present invention, accurate spectral data is obtained by performing double interleaved sampling and baseline calibration on the multi-spectral LED detection light source, and then the working characteristics of the light source are obtained through multi-dimensional hybrid domain timing feature mapping and feature tensor decomposition, and phase synchronization is achieved through recursive phase modulation and group delay compensation; then the compensation vector is subjected to multi-level crosstalk compensation and harmonic suppression processing; the processed control data is synthesized into a driving waveform sequence, and channel allocation and synchronization adjustment are performed, so as to achieve accurate synchronization of the multi-channel LED light source, fully consider the crosstalk characteristics between different channels, effectively reduce the phase jitter of the system, and adopt multi-level compensation and harmonic suppression strategies, which not only ensure the synchronization accuracy, but also improve the stability, thereby realizing high-precision synchronization control of the multi-spectral LED detection light source as a whole. At the same time, the acquisition accuracy of the spectral data is improved through double interleaved sampling, the influence of temperature drift is eliminated through three-dimensional baseline calibration, and the feature extraction capability is enhanced through multi-dimensional hybrid domain analysis, so that the synchronization control performance is significantly improved.

[0049] above Figure 2 The multi-spectrum LED detection light source synchronization control device in the embodiment of the present invention is described in detail from the perspective of modular functional entities. The multi-spectrum LED detection light source synchronization control device in the embodiment of the present invention is described in detail from the perspective of hardware processing.

[0050] Figure 3 1 is a schematic diagram of the structure of a multi-spectrum LED detection light source synchronization control device provided by an embodiment of the present invention. The multi-spectrum LED detection light source synchronization control device 300 may have relatively large differences due to different configurations or performances, and may include one or more processors (central processing units, CPU) 310 (for example, one or more processors) and a memory 320, and one or more storage media 330 (for example, one or more mass storage devices) storing application programs 333 or data 332. Among them, the memory 320 and the storage medium 330 can be short-term storage or permanent storage. The program stored in the storage medium 330 may include one or more modules (not shown in the figure), and each module may include a series of instruction operations in the multi-spectrum LED detection light source synchronization control device 300. Furthermore, the processor 310 may be configured to communicate with the storage medium 330 to execute a series of instruction operations in the storage medium 330 on the multi-spectrum LED detection light source synchronization control device 300.

[0051] The multi-spectrum LED detection light source synchronization control device 300 may also include one or more power supplies 340, one or more wired or wireless network interfaces 350, one or more input and output interfaces 360, and / or one or more operating systems 331, such as Windows Serve, Mac OS X, Unix, Linux, FreeBSD, etc. Those skilled in the art will appreciate that Figure 3 The structure of the multi-spectrum LED detection light source synchronous control device shown does not constitute a limitation of the multi-spectrum LED detection light source synchronous control device, and may include more or fewer components than shown in the figure, or a combination of certain components, or a different arrangement of components.

[0052] The present invention also provides a multi-spectrum LED detection light source synchronization control device, the computer device includes a memory and a processor, the memory stores computer-readable instructions, and when the computer-readable instructions are executed by the processor, the processor executes each step of the multi-spectrum LED detection light source synchronization control method in the above-mentioned embodiments.

[0053] The present invention also provides a computer-readable storage medium, which may be a non-volatile computer-readable storage medium or a volatile computer-readable storage medium. Instructions are stored in the computer-readable storage medium. When the instructions are executed on a computer, the computer executes each step of the multi-spectrum LED detection light source synchronization control method.

[0054] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0055] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art or the whole or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions to enable a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM), random access memory (RAM), disk or optical disk and other media that can store program code.

[0056] The present application can be used in many general or special computer system environments or configurations. For example: personal computers, server computers, handheld or portable devices, tablet devices, multiprocessor systems, microprocessor-based systems, set-top boxes, programmable consumer electronics, network PCs, minicomputers, mainframe computers, distributed computing environments including any of the above systems or devices, etc. The present application can be described in the general context of computer-executable instructions executed by a computer, such as program modules. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform specific tasks or implement specific abstract data types. The present application can also be practiced in distributed computing environments, in which tasks are performed by remote processing devices connected through a communication network. In a distributed computing environment, program modules can be located in local and remote computer storage media including storage devices.

[0057] 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 synchronously controlling a multi-spectrum LED detection light source, characterized in that: The multi-spectrum LED detection light source synchronous control method comprises: The target multi-spectrum LED detection light source is subjected to double interleaved spectral data sampling to obtain original spectral data, and based on the preset three-dimensional spectral parameters, the original spectral data is subjected to multi-dimensional sliding segmentation to obtain a light source baseline characteristic function, and the baseline characteristic function is subjected to temperature and time compensation correction to obtain a multi-dimensional light source compensation function; the timing deviation value between each baseline channel in the multi-dimensional light source compensation function is extracted, and based on the timing deviation value, the baseline value corresponding to each light source channel in the multi-dimensional light source compensation function is synchronously corrected to obtain a time-aligned dynamic light source baseline sequence; based on the preset marking point feature, the dynamic light source baseline sequence is subjected to polynomial marking point fitting adjustment to obtain a smoothed light source baseline function, and based on the smoothed light source baseline function, the original spectral data is subjected to a three-dimensional baseline subtraction operation to obtain net spectral data; the net spectral data is subjected to multi-channel cascade filtering and signal threshold weighted reconstruction to obtain calibrated spectral data; The calibration spectrum data is subjected to frequency domain transformation and wavelet transformation respectively to obtain dual-domain time-frequency feature distribution, and multi-threshold peak extraction and feature trajectory tracking are performed on the dual-domain time-frequency feature distribution to obtain a light source channel feature point sequence; the feature point median screening and mean envelope calculation are performed on the light source channel feature point sequence to obtain feature point intrinsic modal components, and the instantaneous frequency features are extracted and the features are weighted to obtain multi-channel modulation features; the multi-channel modulation features are subjected to high-order statistics calculation and energy transfer ratio calculation between light source channels to generate a light source channel correlation tensor, and the light source channel correlation tensor is subjected to eigenvalue decomposition and subspace mapping to obtain a light source synchronization feature vector; an LED light source state transfer matrix and an LED light source observation matrix corresponding to the light source synchronization feature vector are constructed, and The LED light source state transfer matrix and the LED light source observation matrix are subjected to multi-matrix parameter adjustment to reconstruct and generate light source working characteristic data of LED light source characteristics; the light source working characteristic data are subjected to frequency-dependent group delay calculation of multiple light source channels to obtain a delay characteristic function group, and the delay characteristic function group is subjected to evaluation and compensation of high-order dispersion between light source channels to obtain a spectral dispersion compensation function; based on the spectral dispersion compensation function, a phase difference matrix of each light source channel in the target multi-spectrum LED detection light source is constructed, and the phase difference matrix is ​​subjected to multi-order phase accumulation of multiple light source channels to obtain a spectral phase response function; the phase data in the spectral phase response function is subjected to transition point detection and compensation to obtain a spectral continuous phase sequence, and the spectral continuous phase sequence is subjected to phase prediction compensation of multiple light source channels to obtain a light source phase compensation vector; Performing crosstalk compensation of multi-stage LED light source channels on the light source phase compensation vector to obtain a crosstalk-compensated light source phase compensation vector, and suppressing and reconstructing multiple harmonic components on the crosstalk-compensated light source phase compensation vector to generate light source correction control data; The light source correction control data is synthesized into a light source driving signal to obtain a light source driving waveform sequence, and the light source driving waveform sequence is allocated with a light source channel and synchronously adjusted to generate a light source synchronization control result of the target multi-spectrum LED detection light source.

2. The method for synchronously controlling a multi-spectrum LED detection light source according to claim 1, characterized in that: The double interleaved spectral data sampling of the target multi-spectral LED detection light source to obtain the original spectral data includes: Based on the acquisition trigger timing and acquisition channel sequence number corresponding to the target multi-spectrum LED detection light source, the preset interleaved sampling spectrum sequence is aligned with the reference clock and jitter compensated to obtain a synchronous sampling spectrum sequence, and based on the synchronous sampling spectrum sequence, the target multi-spectrum LED detection light source is subjected to multi-channel parallel wavelength scanning and spectrum acquisition to obtain instantaneous spectrum acquisition data; Performing channel integration and energy accumulation on the instantaneous spectrum acquisition data to obtain a cumulative energy spectrum, and performing quantization bit adjustment and nonlinear mapping on the cumulative energy spectrum to obtain a digital spectrum sequence; Based on the synchronous sampling spectrum sequence, the time dimension of the digital spectrum sequence is reconstructed to obtain a synchronous spectrum matrix, and spectrum data verification and integrity detection are performed on the synchronous spectrum matrix to obtain original spectrum data.

3. The method for synchronously controlling a multi-spectrum LED detection light source according to claim 1, characterized in that: The light source phase compensation vector is subjected to crosstalk compensation of a multi-stage LED light source channel to obtain a light source phase compensation vector after crosstalk compensation, and the light source phase compensation vector after crosstalk compensation is subjected to multi-harmonic component suppression and reconstruction to generate light source correction control data, including: Based on the light source phase compensation vector, a multi-dimensional crosstalk transfer function between the luminous intensity and wavelength coupling of the multi-light source channels of the target multi-spectrum LED detection light source is constructed, and the photoelectric coupling path between each light source channel is traced for the multi-dimensional crosstalk transfer function to obtain a light source coupling path matrix; Calculating the spectral energy transfer between the light source channels on the source coupling path matrix to obtain an energy attenuation coefficient group between the light source channels, and performing light intensity balancing on the energy attenuation coefficient group based on a preset segmented wavelength to obtain a wavelength domain compensation function; The wavelength domain compensation function is subjected to multi-level harmonic frequency selective suppression to obtain a spectral purity enhancement coefficient, and the spectral purity enhancement coefficient is subjected to multi-dimensional spectral coefficient reconstruction to obtain light source correction control data.

4. The method for synchronously controlling a multi-spectrum LED detection light source according to claim 1, characterized in that: The step of synthesizing the light source driving signal with respect to the light source correction control data to obtain a light source driving waveform sequence includes: Performing piecewise linear operation of light source control on the light source correction control data to obtain a light source segmented control amount, and performing multi-carrier modulation on the light source segmented control amount to obtain a composite modulation function; Performing dynamic quantization encoding of light source synchronous control on the composite modulation function to obtain a multi-level synchronous control flow, and performing light source dead zone compensation on the multi-level synchronous control flow to obtain an optimized multi-level synchronous control flow; The optimized multi-stage synchronous control flow is optimized for transient response characteristics of the light source to obtain an optimized light source control waveform, and the optimized light source control waveform is subjected to nonlinear power mapping to obtain a light source driving waveform sequence.

5. A multi-spectrum LED detection light source synchronization control device, characterized in that: The multi-spectrum LED detection light source synchronization control device comprises: A calibration module is used to perform double interleaved spectral data sampling on the target multi-spectral LED detection light source to obtain original spectral data, and based on preset three-dimensional spectral parameters, perform multi-dimensional sliding segmentation on the original spectral data to obtain a light source baseline characteristic function, and perform temperature and time compensation correction on the baseline characteristic function to obtain a multi-dimensional light source compensation function; extract the timing deviation value between each baseline channel in the multi-dimensional light source compensation function, and based on the timing deviation value, synchronously correct the baseline value corresponding to each light source channel in the multi-dimensional light source compensation function to obtain a time-aligned dynamic light source baseline sequence; based on preset marking point features, perform polynomial marking point fitting adjustment on the dynamic light source baseline sequence to obtain a smoothed light source baseline function, and based on the smoothed light source baseline function, perform a three-dimensional baseline subtraction operation on the original spectral data to obtain net spectral data; perform multi-channel cascade filtering and signal threshold weighted reconstruction on the net spectral data to obtain calibration spectral data; A compensation module is used to perform frequency domain transformation and wavelet transformation on the calibration spectrum data respectively to obtain dual-domain time-frequency feature distribution, and extract multi-threshold peaks and track feature trajectories on the dual-domain time-frequency feature distribution to obtain a light source channel feature point sequence; perform median screening and mean envelope calculation on the light source channel feature point sequence to obtain feature point intrinsic modal components, and extract instantaneous frequency features and perform feature weighting operations on the feature point intrinsic modal components to obtain multi-channel modulation features; perform high-order statistics calculation and energy transfer ratio calculation between light source channels on the multi-channel modulation features to generate a light source channel correlation tensor, and perform eigenvalue decomposition and subspace mapping on the light source channel correlation tensor to obtain a light source synchronization feature vector; construct an LED light source state transfer matrix and an LED light source observation matrix corresponding to the light source synchronization feature vector , and perform multi-matrix parameter adjustment on the LED light source state transfer matrix and the LED light source observation matrix to reconstruct and generate the light source working characteristic data of the LED light source characteristics; perform frequency-dependent group delay calculation on the light source working characteristic data for multiple light source channels to obtain a delay characteristic function group, and perform evaluation and compensation on the delay characteristic function group for high-order dispersion between light source channels to obtain a spectral dispersion compensation function; based on the spectral dispersion compensation function, construct a phase difference matrix of each light source channel in the target multi-spectrum LED detection light source, and perform multi-order phase accumulation of multiple light source channels on the phase difference matrix to obtain a spectral phase response function; perform transition point detection and compensation on the phase data in the spectral phase response function to obtain a spectral continuous phase sequence, and perform phase prediction compensation on the spectral continuous phase sequence for multiple light source channels to obtain a light source phase compensation vector; A reconstruction module, used to perform crosstalk compensation of multi-stage LED light source channels on the light source phase compensation vector to obtain the light source phase compensation vector after crosstalk compensation, and suppress and reconstruct the light source phase compensation vector after crosstalk compensation by suppressing multiple harmonic components to generate light source correction control data; The allocation module is used to synthesize the light source driving signal of the light source correction control data to obtain the light source driving waveform sequence, and to perform light source channel allocation and synchronous adjustment on the light source driving waveform sequence to generate the light source synchronization control result of the target multi-spectrum LED detection light source.

6. A multi-spectrum LED detection light source synchronization control device, characterized in that: The multi-spectrum LED detection light source synchronization control device comprises: a memory and at least one processor, wherein the memory stores instructions; The at least one processor calls the instructions in the memory to enable the multi-spectrum LED detection light source synchronization control device to perform each step of the multi-spectrum LED detection light source synchronization control method as described in any one of claims 1-4.

7. A computer-readable storage medium having instructions stored thereon, characterized in that: When the instructions are executed by the processor, the various steps of the method for synchronously controlling a multi-spectrum LED detection light source as described in any one of claims 1 to 4 are implemented.

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