Wavelength power calibration method and device for wavelength tunable light source

Abstract

The invention relates to the technical field of wavelength-tunable light sources, and discloses a wavelength power calibration method and device for a wavelength-tunable light source, and the method comprises the steps: carrying out the spectrum and power collection of laser output optical signals of an S wave band, a C wave band and an L wave band, and generating a wavelength and power combined calibration parameter matrix; performing score calculation to obtain a parameter importance score matrix; constructing a first adaptive control unit and a second adaptive control unit, generating a wavelength compensation value through the first adaptive control unit, and generating a power compensation value through the second adaptive control unit; the wavelength compensation value is input into a wavelength tuning mechanism, the power compensation value is input into a power adjusting mechanism for joint compensation control, and a calibrated output optical signal is obtained; calculating to obtain calibration precision data; and generating a wavelength power calibration report based on the calibration precision data, the parameter importance scoring matrix and the wavelength and power joint calibration parameter matrix. Therefore, calibration of wavelength precision and power stability is realized.

Description

Technical Field

[0001] The present application relates to the technical field of wavelength tunable light sources, and in particular to a wavelength power calibration method and device for a wavelength tunable light source. Background Art

[0002] As a key component in the optical fiber communication system, the wavelength and power stability of the wavelength tunable light source directly affect the transmission performance of the system. With the development of dense wavelength division multiplexing technology, higher requirements are placed on the wavelength accuracy and power stability of the wavelength tunable light source in the S band, C band and L band. The traditional wavelength tunable light source calibration method usually adopts a single parameter calibration method to calibrate the wavelength and power independently, ignoring the power fluctuation in the wavelength tuning process and the influence of power adjustment on the wavelength, resulting in unsatisfactory calibration results.

[0003] The existing calibration methods mainly have the following problems: the lack of in-depth analysis of the coupling relationship between wavelength drift and power fluctuation leads to a lack of scientific basis for the selection of calibration parameters; secondly, the data processing method in the calibration process is relatively simple and fails to fully utilize the multi-dimensional measurement data characteristics; the evaluation system of the calibration results is not perfect and lacks a comprehensive evaluation of short-term and long-term stability. Summary of the invention

[0004] The present application provides a wavelength power calibration method and device for a wavelength tunable light source, thereby achieving calibration of wavelength accuracy and power stability.

[0005] A first aspect of the present application provides a wavelength power calibration method for a wavelength tunable light source, the wavelength power calibration method for a wavelength tunable light source comprising: The spectrum and power of the laser output optical signals of the S-band, C-band and L-band are collected to generate the wavelength and power joint calibration parameter matrix; Scoring and calculating the wavelength compensation coefficient, the power compensation coefficient and the coupling influence coefficient in the wavelength and power joint calibration parameter matrix to obtain a parameter importance scoring matrix; Constructing a first adaptive control unit and a second adaptive control unit based on the parameter importance scoring matrix, generating a wavelength compensation value through the first adaptive control unit, and generating a power compensation value through the second adaptive control unit; Inputting the wavelength compensation value into a wavelength tuning mechanism, inputting the power compensation value into a power adjustment mechanism, performing joint compensation control on the laser, and obtaining a calibrated output optical signal; Performing wavelength and power tracking measurement on the calibrated output optical signal to calculate calibration accuracy data; A wavelength power calibration report is generated based on the calibration accuracy data, the parameter importance score matrix and the wavelength and power joint calibration parameter matrix.

[0006] A second aspect of the present application provides a wavelength power calibration device for a wavelength tunable light source, the wavelength power calibration device for a wavelength tunable light source comprising: The acquisition module is used to collect the spectrum and power of the laser output optical signals in the S-band, C-band and L-band, and generate a wavelength and power joint calibration parameter matrix; A calculation module, used for scoring and calculating the wavelength compensation coefficient, the power compensation coefficient and the coupling influence coefficient in the wavelength and power joint calibration parameter matrix to obtain a parameter importance scoring matrix; A processing module, configured to construct a first adaptive control unit and a second adaptive control unit based on the parameter importance scoring matrix, generate a wavelength compensation value through the first adaptive control unit, and generate a power compensation value through the second adaptive control unit; A compensation control module, used to input the wavelength compensation value into a wavelength tuning mechanism, input the power compensation value into a power adjustment mechanism, perform joint compensation control on the laser, and obtain a calibrated output optical signal; A measurement module, used to perform wavelength and power tracking measurement on the calibrated output optical signal, and calculate calibration accuracy data; A generation module is used to generate a wavelength power calibration report based on the calibration accuracy data, the parameter importance scoring matrix and the wavelength and power joint calibration parameter matrix.

[0007] The third aspect of the present application provides an electronic 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 electronic device executes the above-mentioned wavelength power calibration method of the wavelength tunable light source.

[0008] A fourth aspect of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores instructions, which, when executed on a computer, enable the computer to execute the above-mentioned wavelength power calibration method for a wavelength tunable light source.

[0009] Compared with the prior art, the present application has the following beneficial effects: by constructing a wavelength and power joint calibration parameter matrix and combining the density peak clustering algorithm, an accurate description of the coupling characteristics of wavelength drift and power fluctuation is achieved, and a multi-level adaptive control unit architecture is adopted, including functional modules such as data preprocessing, feature extraction, compensation calculation and output adjustment, which improves the robustness and adaptability of the calibration system. A parameter importance scoring mechanism is introduced, and the reasonable configuration and dynamic optimization of calibration parameters are achieved through algorithms such as matrix analysis and singular value decomposition. A dual closed-loop control system is designed, and the mutual interference is effectively suppressed through the synergy of the wavelength outer loop and the power inner loop, thereby improving the dynamic response performance of the system. A complete calibration effect evaluation system is established, including multiple dimensions such as wavelength accuracy, power stability, short-term and long-term stability, etc., to ensure the reliability of the calibration results. A professional data visualization system is developed, which provides an intuitive calibration quality evaluation method through multi-dimensional display such as parameter distribution, performance indicators and stability evaluation. Joint calibration of the entire band (S, C, L band) is achieved, making the wavelength accuracy and power stability significantly better than the traditional single parameter calibration method. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] 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.

[0011] 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.

[0012] Figure 1 It is a flow chart of a wavelength power calibration method of a wavelength tunable light source provided by an embodiment of the present invention; Figure 2 is a schematic block diagram of the structure of a wavelength power calibration device for a wavelength tunable light source provided by an embodiment of the present invention; Figure 3 It is a schematic block diagram of the structure of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0013] 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.

[0014] 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.

[0015] 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.

[0016] It should be further understood that the term "and / or" used in the specification and appended claims of this application refers to any combination and all possible combinations of one or more of the associated listed items, and includes these combinations. Figure 1 , an embodiment of a wavelength power calibration method of a wavelength tunable light source in an embodiment of the present application includes: Step 100: Spectra and power of laser output optical signals in the S-band, C-band and L-band are collected to generate a wavelength and power joint calibration parameter matrix; It is understandable that the execution subject of the present application may be a wavelength power calibration device for a wavelength tunable light source, or may be a terminal or a server, which is not specifically limited here. The present application embodiment is described by taking a server as the execution subject as an example.

[0017] Specifically, N wavelength sampling points are set in the S band, C band and L band respectively, and each wavelength sampling point is measured M times to obtain the original sampling data. Based on the original sampling data, the real-time wavelength value of each wavelength sampling point is recorded by the spectrum analyzer, and the real-time power value of each wavelength sampling point is recorded by the power meter to obtain the real-time measurement data set, which reflects the actual output characteristics of the laser in different bands and wavelengths. The wavelength value in the real-time measurement data set is calculated by difference with the target wavelength value to obtain the wavelength drift, and the power value in the real-time measurement data set is calculated by difference with the target power value to obtain the power fluctuation. The difference data can reflect the stability and accuracy of the wavelength and power of the laser at different sampling points. In order to systematically analyze the fluctuation of wavelength and power, the wavelength drift and power fluctuation are arranged according to the measurement sequence to generate the wavelength drift matrix and the power fluctuation matrix. These matrices record the fluctuation of each wavelength sampling point and show the changing trend of these fluctuations over time. In order to perform feature analysis, the wavelength drift matrix and the power fluctuation matrix are normalized to generate a normalized wavelength feature matrix and a normalized power feature matrix. The normalized wavelength feature matrix is ​​analyzed to calculate its wavelength local density and wavelength distance. Local density is used to describe the density of points near each data point, while distance is used to measure the relative distance between different data points. Similarly, a similar analysis is performed on the normalized power feature matrix to calculate the power local density and power distance. The calculation of local density and distance can help identify the relationship between data points and can identify representative data points for subsequent compensation calculations. Based on the first product of wavelength local density and wavelength distance, the data points in the normalized wavelength feature matrix are sorted in descending order to select the data point with the largest first product as the first cluster center. Similarly, based on the second product of power local density and power distance, the data points in the normalized power feature matrix are sorted in descending order, and the data point with the largest second product is selected as the second cluster center. The wavelength compensation coefficient, power compensation coefficient and coupling influence coefficient are calculated based on the first cluster center and the second cluster center. These coefficients are used to describe the coupling relationship between wavelength and power and their respective deviation compensation, and then the wavelength compensation coefficient, power compensation coefficient and coupling influence coefficient are combined to form a wavelength and power joint calibration parameter matrix, which contains comprehensive compensation information for the laser output optical signal in the S band, C band and L band.

[0018] Step 200, scoring and calculating the wavelength compensation coefficient, the power compensation coefficient and the coupling influence coefficient in the wavelength and power joint calibration parameter matrix to obtain a parameter importance scoring matrix; Specifically, a wavelength scoring unit, a power scoring unit and a coupling scoring unit are constructed based on the wavelength and power joint calibration parameter matrix. These three scoring units correspond to processing wavelength compensation coefficients, power compensation coefficients and coupling influence coefficients, respectively, wherein the wavelength scoring unit is used to process wavelength compensation coefficients, the power scoring unit is used to process power compensation coefficients, and the coupling scoring unit is used to process coupling influence coefficients. By constructing scoring units, different types of calibration parameters can be independently processed and the scores of various parameters can be accurately calculated. The wavelength drift matrix is ​​subjected to statistical characteristic parameter calculation, wherein the wavelength statistical characteristic parameters include the standard deviation of the wavelength data distribution and the mean of the wavelength data center. These statistical characteristic parameters effectively reflect the distribution and central tendency of the wavelength data. Based on the statistical characteristic parameters, the wavelength weight distribution vector is obtained by normal distribution calculation, which provides a weight basis for the scoring of the wavelength compensation coefficient. Similarly, the power fluctuation matrix is ​​subjected to statistical characteristic parameter calculation, and its power statistical characteristic parameters include the standard deviation of the power data distribution and the mean of the power data center. By calculating these parameters, the distribution characteristics of the power data are obtained. The power weight distribution vector is obtained by normal distribution calculation, which is used to score the power compensation coefficient. The wavelength drift matrix and the power fluctuation matrix are cross-correlated to obtain the correlation matrix, which reflects the correlation between wavelength and power. When the two have mutual influence, the calculation of the correlation matrix can reveal the strength of this coupling effect. Based on the correlation matrix, eigenvalue decomposition is performed to obtain the coupling weight distribution vector, which describes the degree of coupling between wavelength and power. The wavelength weight distribution vector, power weight distribution vector and coupling weight distribution vector are standardized to generate a standardized weight matrix. The purpose of standardization is to eliminate the differences between different dimensions so that all weights are compared on the same scale to ensure the fairness and consistency of the scoring. The standardized weight matrix is ​​dot-producted with the wavelength and power joint calibration parameter matrix to obtain the parameter scoring matrix. Each element of the parameter scoring matrix represents the score of the corresponding parameter during the calibration process, reflecting the degree of influence of the parameter on the calibration accuracy. Each score value in the parameter scoring matrix is ​​mapped to the interval of 0 to 100 according to the linear mapping relationship to generate a quantitative scoring matrix. The quantized scoring matrix is ​​subjected to a singular value decomposition operation to extract the singular values ​​and corresponding singular vectors of the matrix. By analyzing the singular values, the right singular vector corresponding to the maximum singular value is selected as the parameter importance scoring matrix to ensure that the extracted features have the greatest explanatory power, so that the parameter importance scoring matrix reflects the most important parameter information in the entire calibration process.

[0019] Step 300: construct a first adaptive control unit and a second adaptive control unit based on the parameter importance score matrix, generate a wavelength compensation value through the first adaptive control unit, and generate a power compensation value through the second adaptive control unit; It should be noted that a first adaptive control unit for generating a wavelength compensation value and a second adaptive control unit for generating a power compensation value are constructed respectively. The first adaptive control unit includes a first data preprocessing layer, a first feature extraction layer, a first compensation calculation layer and a first output adjustment layer, and the second adaptive control unit includes a second data preprocessing layer, a second feature extraction layer, a second compensation calculation layer and a second output adjustment layer. The spectral data collected in real time is input into the first data preprocessing layer in the first adaptive control unit, which is composed of a 5-layer wavelet transform network structure, and each layer of the wavelet network includes a decomposition unit and a reconstruction unit. Among them, the decomposition unit adopts the db4 wavelet basis function, and the reconstruction unit adopts the soft threshold denoising method. By processing the spectral data layer by layer, the denoised spectral data is obtained. The spectral data after denoising is input into the first feature extraction layer, and the first feature extraction layer includes a spectral main peak extraction sublayer, an edge feature extraction sublayer and a shape feature extraction sublayer. The spectral main peak extraction sublayer uses a 9-point quadratic polynomial fitting algorithm to extract the main peak position and intensity information in the spectrum; the edge feature extraction sublayer uses the Sobel edge detection operator to extract the edge information of the spectral data; and the shape feature extraction sublayer uses 15 shape descriptors to describe the shape characteristics of the spectral signal. Multi-dimensional feature extraction methods can fully capture the characteristics of spectral data from different angles and generate a spectral feature vector containing rich information. The spectral feature vector and the parameter importance score matrix are input into the first compensation calculation layer, which consists of 3 fully connected layers. The number of nodes in the first fully connected layer is 128, the number of nodes in the second fully connected layer is 64, and the number of nodes in the third fully connected layer is 32. The ReLU activation function is used between each layer to increase the nonlinear ability of the model. At the same time, the Dropout layer is used to prevent overfitting, thereby enhancing its generalization ability during the training and use of the model. The wavelength compensation parameters are obtained through calculation. The wavelength compensation parameters are input into the first output adjustment layer, which includes a proportional integral loop and a feedforward compensation loop. The proportional coefficient of the proportional integral loop is 0.8 and the integral coefficient is 0.2. The feedforward compensation loop uses a 5th-order FIR filter. The wavelength compensation value is generated by combining proportional integral adjustment and feedforward compensation to ensure that the output of the wavelength remains stable and accurately reaches the target value. The power data collected in real time and the generated wavelength compensation value are input into the second data preprocessing layer in the second adaptive control unit. The second data preprocessing layer includes a data synchronization unit and a standardization unit. The data synchronization unit uses the nearest neighbor interpolation algorithm to ensure the time alignment of the power data and the wavelength data; and the standardization unit uses the Z-score standardization algorithm to standardize the power data and eliminate the dimensional differences between different data, making the subsequent calculation more stable and accurate. The preprocessed power data is input into the second feature extraction layer, which includes 7 layers of time domain feature extraction networks and 5 layers of frequency domain feature extraction networks.In the time domain feature extraction, statistical moment features and trend features are used to capture the statistical changes and time trends of power data; in the frequency domain feature extraction, wavelet packet decomposition and Hilbert transform are used to obtain the frequency domain characteristics of power data. Through this step, an information vector that comprehensively reflects the power characteristics, namely the power feature vector, is generated. Based on the power feature vector, wavelength compensation value and parameter importance score matrix, the second compensation calculation layer and the second output adjustment layer use a cascade compensation control method to generate the final power compensation value. In the second compensation calculation layer, a dynamic matrix control algorithm is used to dynamically adjust the compensation calculation parameters according to the real-time input signal, thereby improving the response speed and accuracy of the system. In the second output adjustment layer, a composite control structure combining forward channel compensation and feedback channel compensation is used. Fast adjustment is achieved through forward compensation, while the steady-state error of the system is eliminated through feedback compensation to generate an accurate power compensation value.

[0020] Step 400: Input the wavelength compensation value into the wavelength tuning mechanism, input the power compensation value into the power adjustment mechanism, perform joint compensation control on the laser, and obtain a calibrated output optical signal; Specifically, the wavelength compensation value is converted into voltage through the first digital-to-analog conversion unit to generate a wavelength tuning control voltage. The wavelength tuning control voltage is input into the wavelength tuning mechanism through the first driving amplifier circuit. The first driving amplifier circuit is composed of three-stage amplifier units, the first stage is a differential amplifier, which is used to perform preliminary differential amplification on the input signal to improve the signal-to-noise ratio; the second stage is a voltage follower, which is used to provide high input impedance and low output impedance to enhance the driving ability of the signal; the third stage is a power operational amplifier, which further improves the power of the signal to ensure that the wavelength tuning control voltage can effectively drive the wavelength tuning mechanism. At the same time, the power compensation value is converted into a power adjustment control current through the second digital-to-analog conversion unit. The power adjustment control current is input into the power adjustment mechanism through the second driving amplifier circuit. The second driving amplifier circuit includes a constant current source unit and a current detection unit, wherein the constant current source unit is used to provide a stable current signal to ensure the accuracy and stability of power adjustment; the current detection unit is used to monitor the change of current in real time, so as to adjust the power adjustment control in time. Through current conversion and driving amplification processing, the power adjustment control current can be accurately transmitted to the power adjustment mechanism, thereby effectively adjusting the output power of the laser. After completing the input of the wavelength and power compensation values, the compensated initial calibration optical signal is obtained. In order to analyze and feedback control the optical signal, the initial calibration optical signal is converted into an electrical signal through the photoelectric conversion unit to obtain a photoelectric conversion signal. The photoelectric conversion process can convert the intensity and wavelength information of the optical signal into a corresponding electrical signal form, which is convenient for subsequent signal processing and analysis. The photoelectric conversion signal is digitally sampled through the third digital-to-analog conversion unit to obtain digital feedback data. The digital feedback data is input into the dual closed-loop control system to perform accurate closed-loop control of the wavelength and power. The dual closed-loop control system includes a wavelength outer loop controller and a power inner loop controller. The wavelength outer loop controller adopts a feedforward-feedback composite control structure. This control structure combines the fast response of feedforward control and the steady-state accuracy of feedback control. The system disturbance is compensated in advance through the feedforward part, while the feedback part can dynamically adjust the system error to achieve accurate control of the wavelength. The power inner loop controller adopts an incremental PID algorithm, which ensures the stability and accuracy of power regulation by calculating and adjusting the increment of the power error. Compared with traditional PID control, the incremental PID algorithm has better anti-interference performance and can effectively avoid the influence of cumulative errors when dealing with system errors. The dual closed-loop control system outputs the corresponding control quantity, which is connected to the wavelength tuning mechanism and the power adjustment mechanism respectively, so as to achieve joint and precise control of the wavelength and power of the laser. Through dual closed-loop control, the output state of wavelength and power is continuously optimized on the basis of real-time dynamic adjustment to ensure that the output optical signal of the laser meets the accuracy requirements after calibration.

[0021] Step 500: performing wavelength and power tracking measurement on the calibrated output optical signal, and calculating calibration accuracy data; Specifically, the calibrated output optical signal is sampled by a high-precision wavelength measurement unit and a power measurement unit respectively to obtain the original wavelength power sampling data. The original wavelength power sampling data is subjected to time synchronization and data alignment processing to generate a synchronous measurement data stream, ensuring that the wavelength and power measurement data are compared and analyzed under the same time reference. The synchronous measurement data stream is divided into bands according to the S band, C band and L band to generate a sub-band measurement matrix. The data of different bands are analyzed and processed respectively to facilitate the identification and resolution of specific problems of each band. The wavelength data in the sub-band measurement matrix is ​​subjected to wavelength reference correction to obtain the corrected wavelength measurement data. The wavelength reference correction process is to adjust the actually measured wavelength data according to the precise reference signal to eliminate the systematic error in the measurement process and ensure the accuracy of the wavelength data. The wavelength deviation parameters are calculated based on the corrected wavelength measurement data. The wavelength deviation parameters include instantaneous deviation, root mean square deviation and maximum deviation. Among them, the instantaneous deviation is used to describe the difference between the measured value and the target value at a specific moment, which can reflect the response performance of the system under transient conditions; the root mean square deviation is used to measure the fluctuation during the entire measurement process and characterize the overall level of wavelength stability; the maximum deviation represents the maximum deviation from the target value among all sampling points, which is a measure of the system accuracy under the worst case. By calculating the deviation parameters, the wavelength accuracy evaluation result is obtained, which reflects the overall accuracy and stability of the wavelength measurement. Similarly, based on the power data in the synchronous measurement data stream, the power deviation parameters are calculated. The power deviation parameters include instantaneous deviation, root mean square deviation and maximum deviation. By calculating the power deviation, the power accuracy evaluation result is obtained, which reflects the accuracy of the power measurement and its changes at different moments, as well as the stability of the system in power output. The wavelength accuracy evaluation results and the power accuracy evaluation results are subjected to band correlation analysis to construct the performance evaluation matrix of the S band, C band and L band. Identifying the mutual influence and correlation between wavelength and power in different bands helps to reveal the overall performance of the system under different working conditions. Through the correlation analysis of wavelength and power, it is found that there is a strong coupling effect in some bands. This coupling effect affects the overall performance of the system. The performance of each band is systematically characterized through the performance evaluation matrix. The performance evaluation matrix is ​​normalized to generate calibration accuracy data. The performance indicators in different bands are converted to the same scale for direct comparison and analysis.

[0022] Step 600: Generate a wavelength power calibration report based on the calibration accuracy data, the parameter importance score matrix, and the wavelength and power joint calibration parameter matrix.

[0023] Specifically, the wavelength and power joint calibration parameter matrix is ​​sorted and analyzed according to the band, and a parameter distribution feature table is generated to record the parameter distribution of each band, which helps to understand the characteristics of the system under different working conditions. The parameter distribution feature table and the parameter importance score matrix are input into the data association processing unit to sort the parameter importance and generate a parameter optimization weight table, which reflects the importance of each calibration parameter in the overall calibration process, helps to determine the parameters that should be focused on and optimized in subsequent calibration, and improves the efficiency and effect of calibration. The calibration accuracy data is statistically analyzed, and key indicators such as wavelength root mean square error, wavelength maximum deviation, power root mean square error and power maximum deviation are statistically processed to generate performance indicator analysis curves to reflect the calibration accuracy of the system in terms of wavelength and power. Through these analysis curves, the performance of the system in different measurement periods and the stability of wavelength and power are observed. The performance indicator analysis curve is input into the trend analysis unit to generate stability evaluation data. Through trend analysis, the stability change characteristics of the system in different time periods are identified, and the long-term performance of the calibration system is evaluated. Based on the stability evaluation data obtained by trend analysis, it is divided according to the time dimension to generate stability data at multiple time scales. The multi-time scale stability data is compared and analyzed with the preset control indicators to generate a calibration control effect evaluation table. The control effect evaluation table can show the performance of the system in achieving the expected performance target after calibration, clearly show whether the system meets the design requirements, and help identify the direction of improvement. A comprehensive evaluation matrix is ​​constructed based on the parameter optimization weight table, performance indicator analysis curve and calibration control effect evaluation table. The hierarchical analysis method is used to calculate the normalized weights of each evaluation indicator to generate a comprehensive score of the calibration quality. The hierarchical analysis method compares the relative importance of different indicators to obtain the weight of each indicator in the overall evaluation, thereby obtaining a more scientific and reasonable comprehensive evaluation result. The calibration quality comprehensive score, parameter distribution characteristic table, multi-time scale stability data and calibration control effect evaluation table are input into the data visualization engine for chart conversion to generate a wavelength power calibration report.

[0024] In the embodiment of the present application, by constructing a wavelength and power joint calibration parameter matrix and combining a density peak clustering algorithm, an accurate description of the coupling characteristics of wavelength drift and power fluctuation is achieved, and a multi-level adaptive control unit architecture is adopted, including functional modules such as data preprocessing, feature extraction, compensation calculation and output adjustment, which improves the robustness and adaptability of the calibration system. A parameter importance scoring mechanism is introduced, and the reasonable configuration and dynamic optimization of calibration parameters are achieved through algorithms such as matrix analysis and singular value decomposition. A dual closed-loop control system is designed, and the mutual interference is effectively suppressed through the synergy of the wavelength outer loop and the power inner loop, thereby improving the dynamic response performance of the system. A complete calibration effect evaluation system is established, including multiple dimensions such as wavelength accuracy, power stability, short-term and long-term stability, etc., to ensure the reliability of the calibration results. A professional data visualization system is developed, which provides an intuitive calibration quality evaluation method through multi-dimensional display such as parameter distribution, performance indicators and stability evaluation. The joint calibration of the full band (S, C, L band) is realized, which makes the wavelength accuracy and power stability significantly better than the traditional single parameter calibration method.

[0025] In a specific embodiment, the process of executing step 100 may specifically include the following steps: N wavelength sampling points are set in the S band, C band and L band respectively, and each wavelength sampling point is measured M times to obtain the original sampling data; According to the original sampling data, the real-time wavelength value is recorded by the spectrum analyzer, and the real-time power value is recorded by the power meter to obtain the real-time measurement data set; The wavelength value in the real-time measurement data set is calculated with the target wavelength value to obtain the wavelength drift amount, and the power value in the real-time measurement data set is calculated with the target power value to obtain the power fluctuation amount; Arranging the wavelength drift and the power fluctuation according to the measurement time sequence respectively to generate a wavelength drift matrix and a power fluctuation matrix, and normalizing the wavelength drift matrix and the power fluctuation matrix to generate a normalized wavelength characteristic matrix and a normalized power characteristic matrix; Calculate the wavelength local density and wavelength distance of the normalized wavelength characteristic matrix, and calculate the power local density and power distance of the normalized power characteristic matrix; Based on the first product of the wavelength local density and the wavelength distance, the data points in the normalized wavelength feature matrix are sorted in descending order, and the data point with the largest first product is selected as the first cluster center point; and based on the second product of the power local density and the power distance, the data points in the normalized power feature matrix are sorted in descending order, and the data point with the largest second product is selected as the second cluster center point; Taking the first cluster center point and the second cluster center point as references, the wavelength compensation coefficient, the power compensation coefficient and the coupling influence coefficient are calculated, and the wavelength compensation coefficient, the power compensation coefficient and the coupling influence coefficient are combined into a wavelength and power joint calibration parameter matrix.

[0026] Specifically, N wavelength sampling points are set in the S band, C band, and L band, and M measurements are performed on each wavelength sampling point to obtain the original sampling data. Assume that the wavelength sampling point is recorded as ,in Indicates the band (S, C, L band), Indicates the sampling point number, The results of each measurement form the original sampling data set, including the power and wavelength values ​​recorded at each wavelength sampling point in M ​​measurements. By analyzing the original sampling data set, the real-time wavelength value of each wavelength sampling point is recorded by the spectrum analyzer, and the real-time power value is recorded by the power meter to obtain the real-time measurement data set. Assume that the wavelength measurement value is and power measurements are ,in Indicates the number of measurements at each sampling point. The wavelength drift is obtained by calculating the difference between the wavelength value in the real-time measurement data set and the target wavelength value. , the formula is: ; in, is the target value of the wavelength sampling point. Similarly, for the power measurement value With target power value Calculate the difference and get the power fluctuation : ; The wavelength drift and power fluctuation in each measurement are calculated by the above formulas. The drift and fluctuation are arranged according to the measurement time sequence to form a wavelength drift matrix and a power fluctuation matrix, which are recorded as and .in For a dimension A matrix, each row represents the change of wavelength drift of a wavelength sampling point over time; similarly, Also the dimension is The matrix represents the change of power fluctuation over time. The wavelength drift matrix and the power fluctuation matrix are normalized to obtain the normalized wavelength characteristic matrix and the normalized power characteristic matrix. Suppose the normalized wavelength characteristic matrix is , the normalized power characteristic matrix is , and its normalization is done in the following way: ; in, represents the element value in the matrix, is the mean of all elements in the matrix, is the standard deviation. Through normalization, the dimension effect of the data is eliminated to ensure that the data of different bands are compared and analyzed on the same scale. Perform analysis and calculate wavelength local density and wavelength distance . Wavelength local density It is defined as the inverse function of the distance between each data point and other data points in its neighborhood, expressed as: ; in, represents the Euclidean distance, is a very small positive number to prevent division by zero errors. Similarly, the wavelength distance is calculated , represents the minimum distance between a data point and a data point with higher local density. Similar processing is applied to the normalized power feature matrix , and the local power density is obtained and power distance Based on the wavelength local density and wavelength distance The data points in the normalized wavelength feature matrix are sorted in descending order, and the point with the largest product is selected as the first cluster center point, which is recorded as Similarly, based on the power local density and power distance The product of , sort the data points in the normalized power feature matrix in descending order, and select the point with the largest product as the second cluster center, denoted as . Taking the first cluster center point and the second cluster center As a benchmark, calculate the wavelength compensation coefficient , power compensation coefficient And the coupling influence coefficient The calculation of these coefficients is based on the deviation between the respective eigenvalues ​​and the cluster center, which quantifies the relative deviation of wavelength and power at each sampling point. For example, the wavelength compensation coefficient is expressed as: ; in, is a compensation function, and its specific form is defined according to the characteristics of the system. Usually a linear or nonlinear function is selected to effectively reduce the deviation. Similarly, the power compensation coefficient and the coupling influence coefficient are calculated in a similar way. The calculated wavelength compensation coefficient, power compensation coefficient and coupling influence coefficient form a wavelength and power joint calibration parameter matrix. The matrix contains the calibration information of all wavelength sampling points and can reflect the coupling characteristics between wavelength and power for subsequent compensation control and performance optimization.

[0027] In a specific embodiment, the process of executing step 200 may specifically include the following steps: Based on the wavelength and power joint calibration parameter matrix, a wavelength scoring unit, a power scoring unit and a coupling scoring unit are constructed. The wavelength scoring unit is used to process the wavelength compensation coefficient, the power scoring unit is used to process the power compensation coefficient, and the coupling scoring unit is used to process the coupling influence coefficient. Calculate the wavelength statistical characteristic parameters of the wavelength drift matrix, the wavelength statistical characteristic parameters include the wavelength data distribution standard deviation and the wavelength data center mean, perform normal distribution calculation to obtain the wavelength weight distribution vector, and calculate the power statistical characteristic parameters of the power fluctuation matrix, the power statistical characteristic parameters include the power data distribution standard deviation and the power data center mean, perform normal distribution calculation to obtain the power weight distribution vector; The wavelength drift matrix and the power fluctuation matrix are cross-correlated to obtain a correlation matrix, and eigenvalue decomposition is performed based on the correlation matrix to obtain a coupling weight distribution vector; The wavelength weight distribution vector, the power weight distribution vector and the coupling weight distribution vector are standardized to generate a standardized weight matrix, and a dot product operation is performed on the standardized weight matrix and the wavelength and power joint calibration parameter matrix to obtain a parameter scoring matrix; Each score value in the parameter score matrix is ​​mapped to the interval of 0-100 according to a linear mapping relationship to generate a quantitative score matrix, and a singular value decomposition operation is performed on the quantitative score matrix, and the right singular vector corresponding to the maximum singular value is selected as the parameter importance score matrix.

[0028] Specifically, the mutual influence between wavelength, power and coupling is analyzed and processed. The wavelength scoring unit is used to process the wavelength compensation coefficient, the power scoring unit is used to process the power compensation coefficient, and the coupling scoring unit is used to process the coupling influence coefficient. By processing different compensation coefficients separately, the contribution and influence of each calibration parameter on the overall performance of the system are evaluated. The wavelength statistical characteristic parameters of the wavelength drift matrix are calculated, including the standard deviation of the wavelength data distribution and the mean of the wavelength data center. The standard deviation reflects the degree of discreteness of the wavelength offset data, while the mean is the central trend of the wavelength data during the measurement process. By calculating the mean and standard deviation, the wavelength drift is normally distributed and a wavelength weight distribution vector is generated to represent the statistical importance of different wavelength sampling points. The power statistical characteristic parameters of the power fluctuation momentum matrix are calculated. The power statistical characteristic parameters include the standard deviation of the power data distribution and the mean of the power data center. The power weight distribution vector is obtained by normal distribution calculation. The wavelength drift matrix and the power fluctuation momentum matrix are cross-correlated to obtain the correlation matrix between them. The cross-correlation calculation reflects the relationship between wavelength and power, revealing the degree of coupling between them. Each element of the correlation matrix Indicates the correlation between wavelength drift and power fluctuation, calculated by the following formula: ; in, and are the mean values ​​of wavelength and power respectively, and is the standard deviation. By calculating the correlation matrix, the coupling relationship between wavelength and power is quantified. , perform eigenvalue decomposition on it and obtain the coupling weight distribution vector , which is used to describe the intensity of the wavelength and power coupling effect. The wavelength weight distribution vector , power weight distribution vector and coupling weight distribution vector Perform standardization to generate a standardized weight matrix The standardized weight matrix It is expressed as: ; in, Represents the norm of the vector. The weight matrix obtained by standardization Ensure that the wavelength, power and coupling weights are in the same range, so that the subsequent scoring calculation is more reasonable. Joint calibration parameter matrix with wavelength and power Perform a dot product operation to obtain the parameter score matrix S: ; in, is the wavelength and power joint calibration parameter matrix, which contains the compensation information of each wavelength and power sampling point, is the parameter score matrix, each element Represents the contribution of the corresponding parameter in the score. The parameter score matrix is ​​used to evaluate the importance of different calibration parameters. Each score value in the parameter score matrix is ​​mapped to the interval from 0 to 100 according to a linear mapping relationship to generate a quantitative score matrix . Perform singular value decomposition on the quantitative score matrix Q to obtain the singular values ​​and corresponding singular vectors of the matrix. Singular value decomposition decomposes the matrix into three parts: left singular vector matrix, singular value diagonal matrix and right singular vector matrix. Through the analysis of the singular values, the right singular vector corresponding to the maximum singular value is selected as the parameter importance score matrix. The singular value corresponding to the right singular vector is the largest, which means that it has the greatest energy or explanatory power, which is used to indicate the importance of each parameter in the entire calibration process.

[0029] In a specific embodiment, the process of executing step 300 may specifically include the following steps: Constructing a first adaptive control unit and a second adaptive control unit, wherein the first adaptive control unit includes a first data preprocessing layer, a first feature extraction layer, a first compensation calculation layer and a first output adjustment layer, and the second adaptive control unit includes a second data preprocessing layer, a second feature extraction layer, a second compensation calculation layer and a second output adjustment layer; The real-time spectral data is input into the first data preprocessing layer, which includes a 5-layer wavelet transform network structure. Each layer of the wavelet network includes a decomposition unit and a reconstruction unit. The decomposition unit uses the db4 wavelet basis function, and the reconstruction unit uses a soft threshold denoising method. The denoised spectral data is obtained by layer-by-layer processing; The denoised spectral data is input into the first feature extraction layer, which includes a spectral main peak extraction sublayer, an edge feature extraction sublayer and a shape feature extraction sublayer. The spectral main peak extraction sublayer adopts a 9-point quadratic polynomial fitting algorithm, the edge feature extraction sublayer adopts a Sobel edge detection operator, and the shape feature extraction sublayer adopts 15 shape descriptors to obtain a spectral feature vector. The spectral feature vector and parameter importance score matrix are input into the first compensation calculation layer. The first compensation calculation layer contains three fully connected layers. The number of nodes in the first fully connected layer is 128, the number of nodes in the second fully connected layer is 64, and the number of nodes in the third fully connected layer is 32. ReLU activation function and Dropout layer are used between each layer to obtain wavelength compensation parameters. Input the wavelength compensation parameter into the first output adjustment layer, the first output adjustment layer includes a proportional integral loop and a feedforward compensation loop, the proportional coefficient of the proportional integral loop is 0.8, the integral coefficient is 0.2, and the feedforward compensation loop uses a 5th-order FIR filter to generate a wavelength compensation value; The real-time power data and the wavelength compensation value are input into a second data preprocessing layer, the second data preprocessing layer comprises a data synchronization unit and a standardization unit, the data synchronization unit adopts a nearest neighbor interpolation algorithm, and the standardization unit adopts a Z-score standardization algorithm to obtain preprocessed power data; The pre-processed power data is input into the second feature extraction layer, which includes a 7-layer time domain feature extraction network and a 5-layer frequency domain feature extraction network. The time domain feature extraction network uses statistical moment features and trend features, and the frequency domain feature extraction network uses wavelet packet decomposition and Hilbert transform to obtain a power feature vector. Cascade compensation control is performed in the second compensation calculation layer and the second output adjustment layer based on the power characteristic vector, wavelength compensation value and parameter importance scoring matrix. The second compensation calculation layer adopts a dynamic matrix control algorithm, and the second output adjustment layer adopts a composite control structure combining forward channel compensation and feedback channel compensation to generate a power compensation value.

[0030] Specifically, the real-time spectral data is input into the first data preprocessing layer, and the first data preprocessing layer uses a 5-layer wavelet transform network structure for processing. In each layer of the wavelet network, there are decomposition units and reconstruction units. The decomposition unit uses the db4 wavelet basis function to perform multi-resolution analysis on the signal to separate the different frequency components of the signal; the reconstruction unit uses the soft threshold denoising method to reconstruct the signal, thereby effectively removing the noise. Through layer-by-layer wavelet decomposition and reconstruction, high-frequency noise is gradually filtered out, important spectral features are retained, and denoised spectral data is obtained. The denoised spectral data is input into the first feature extraction layer for feature extraction. The first feature extraction layer consists of three sublayers: spectral main peak extraction sublayer, edge feature extraction sublayer and shape feature extraction sublayer. The spectral main peak extraction sublayer extracts the main peak information in the spectrum through a 9-point quadratic polynomial fitting algorithm, thereby identifying the most significant peak position and intensity in the spectrum; the edge feature extraction sublayer uses the Sobel edge detection operator to extract edge features in the spectral signal, and these edge features reflect the trend of spectrum changes; the shape feature extraction sublayer uses 15 shape descriptors to describe the overall shape characteristics of the spectrum. These extracted features are combined into a spectral feature vector , which is used to represent the main features of the spectral signal. and parameter importance scoring matrix Input to the first compensation calculation layer. The first compensation calculation layer contains three fully connected layers. The number of nodes in the first fully connected layer is 128, the number of nodes in the second fully connected layer is 64, and the number of nodes in the third fully connected layer is 32. ReLU activation function is used between each layer to increase the nonlinear ability of the model, and Dropout layer is added to prevent overfitting and improve the generalization ability of the model. Finally, through the step-by-step calculation of these three layers of fully connected networks, the wavelength compensation parameters are output. This parameter is used for subsequent compensation adjustment to help the wavelength reach the target value. Input to the first output adjustment layer. The first output adjustment layer contains a proportional integral loop and a feedforward compensation loop, where the proportional coefficient of the proportional integral loop is 0.8 and the integral coefficient is 0.2. The proportional integral loop (PI control) is used to reduce the wavelength error through real-time adjustment, and its output is expressed as: ; in, is the wavelength error at the current moment, is the proportionality coefficient, The feedforward compensation loop uses a 5th-order FIR filter to quickly respond to external interference and changes, thereby improving the dynamic performance of the system. The first output adjustment layer generates a wavelength compensation value , in order to adjust the wavelength to reach the target. Real-time power data and wavelength compensation value Input to the second data preprocessing layer. The second data preprocessing layer includes a data synchronization unit and a standardization unit. The data synchronization unit uses the nearest neighbor interpolation algorithm to align the power data and wavelength data to ensure that they can be compared and analyzed at the same time point; the standardization unit uses the Z-score standardization algorithm to standardize the power data. The formula is: ; in, Represents the raw power data, is the mean value of the power data, is the standard deviation of the power data. The dimension differences between different data are eliminated through standardization, so that the data can be processed at the same scale to obtain the preprocessed power data. . The preprocessed power data is input into the second feature extraction layer, which contains 7 layers of time domain feature extraction network and 5 layers of frequency domain feature extraction network. In the time domain feature extraction, statistical moment features and trend features are used to describe the temporal changes of power data, such as statistical features such as mean, variance, skewness and kurtosis; in the frequency domain feature extraction, wavelet packet decomposition and Hilbert transform are used to capture the frequency characteristics and phase characteristics of the power signal to obtain a more comprehensive power feature description. Through feature extraction, the power feature vector is obtained. Based on the power eigenvector , wavelength compensation value and parameter importance score matrix , input them into the second compensation calculation layer and the second output regulation layer for cascade compensation control. The second compensation calculation layer adopts a dynamic matrix control algorithm, which is based on the system model prediction and obtains the power compensation parameters by predicting and optimizing the future output. The control law of the dynamic matrix control algorithm is expressed as: ; in, is the dynamic matrix of the system, is the regularization parameter, is the target output, is the current power output. Through this control law, the appropriate control input is calculated To achieve power control. The second output regulation layer adopts a composite control structure that combines forward channel compensation and feedback channel compensation. The forward channel compensation quickly responds to input changes and improves the dynamic performance of the system, while the feedback channel compensation can continuously adjust the system error to ensure the accuracy of the system in a steady state. The second output regulation layer generates a power compensation value , used to accurately adjust the power of the laser.

[0031] In a specific embodiment, the process of executing step 400 may specifically include the following steps: The wavelength compensation value is converted into voltage by a first digital-to-analog conversion unit to obtain a wavelength tuning control voltage, and the wavelength tuning control voltage is input into a wavelength tuning mechanism by a first driving amplifier circuit, wherein the first driving amplifier circuit comprises a three-stage amplifier unit, wherein the first stage is a differential amplifier, the second stage is a voltage follower, and the third stage is a power operational amplifier; The power compensation value is converted into current by a second digital-to-analog conversion unit to obtain a power regulation control current, and the power regulation control current is input into a power regulation mechanism by a second driving amplifier circuit, wherein the second driving amplifier circuit includes a constant current source unit and a current detection unit; Acquire the compensated initial calibration optical signal, convert the initial calibration optical signal into an electrical signal through a photoelectric conversion unit to obtain a photoelectric conversion signal, and digitally sample the photoelectric conversion signal through a third digital-to-analog conversion unit to obtain digital feedback data; The digital feedback data is input into the dual closed-loop control system, which includes a wavelength outer-loop controller and a power inner-loop controller. The wavelength outer-loop controller adopts a feedforward-feedback composite control structure, and the power inner-loop controller adopts an incremental PID algorithm to obtain the control quantity output by the dual closed-loop control system, and respectively connects to the wavelength tuning mechanism and the power adjustment mechanism to obtain the calibrated output optical signal.

[0032] Specifically, the wavelength compensation value is converted into a voltage by the first digital-to-analog conversion unit to obtain a control voltage for wavelength tuning. The function of the digital-to-analog conversion unit is to convert the digitized compensation value into an analog voltage signal, so as to drive the subsequent analog circuit part. Assume that the wavelength compensation value is , the corresponding wavelength tuning control voltage is obtained through the first digital-to-analog conversion unit , and its relationship is described by the following formula: ; in, It is the digital-to-analog conversion proportional coefficient, which determines the sensitivity and dimension conversion of the digital-to-analog conversion. Represents the wavelength tuning control voltage. After the control voltage is obtained, it is amplified by the first drive amplifier circuit and input into the wavelength tuning mechanism. The first drive amplifier circuit includes three-stage amplification units: the first stage is a differential amplifier, which is mainly used to suppress common-mode noise and enhance the anti-interference ability of the signal; the second stage is a voltage follower, which is used to provide high input impedance and low output impedance, thereby reducing the load effect of the signal source and keeping the signal stable; the third stage is a power operational amplifier, which is used to increase the power of the signal to ensure that the control voltage can effectively drive the wavelength tuning mechanism. Through these three-stage amplification processing, the signal can be fully amplified and enhanced to meet the input requirements of the wavelength tuning mechanism and ensure accurate adjustment of the wavelength. In terms of power regulation, the power compensation value The second digital-to-analog conversion unit performs current conversion to obtain a power regulation control current. The role of the digital-to-analog conversion unit is similar to that of the wavelength part, which converts the digital compensation value into a corresponding analog signal to drive the subsequent power control system. The converted power regulation control current is expressed as: ; in, is the digital-to-analog conversion ratio coefficient, The current is controlled by the power regulator. The current is then transmitted to the power regulator through the second drive amplifier circuit. The second drive amplifier circuit includes a constant current source unit and a current detection unit. The constant current source unit is used to ensure the stability of the current signal so that the power regulator can obtain consistent and accurate input, while the current detection unit is used to monitor the output current in real time to ensure the regulation accuracy and the closed-loop nature of the feedback control. The compensated initial calibration light signal is obtained and converted into an electrical signal by a photoelectric conversion unit to obtain a photoelectric conversion signal. The photoelectric conversion process is realized by a photoelectric detector, which converts the intensity information of the light signal into a corresponding current or voltage signal, which is convenient for subsequent signal processing and feedback control. Assume that the photoelectric conversion signal is , this signal is digitally sampled through the third digital-to-analog conversion unit to obtain digital feedback data. The function of the third digital-to-analog conversion unit is to convert the analog photoelectric signal into data that can be used for digital calculations, so that the system can perform real-time digital feedback control. The digital feedback data is input into the dual closed-loop control system, which includes a wavelength outer loop controller and a power inner loop controller. The wavelength outer loop controller adopts a feedforward-feedback composite control structure, in which the feedforward part is used to actively compensate for external disturbances, thereby improving the response speed of the system; the feedback part is used to correct the error between the wavelength and the target value to ensure the stability of the wavelength output. The control quantity of the wavelength outer loop controller It is expressed as: ; in, is the reference signal, representing the target wavelength, is the wavelength error, , and are the coefficients of feedforward, proportional and integral control respectively. By combining feedforward and feedback, the system can quickly respond and correct the wavelength deviation to ensure the accuracy of the wavelength. The power inner loop controller adopts an incremental PID control algorithm for real-time adjustment of power output. The incremental PID algorithm adjusts the control quantity according to the increment of the power error, and its control law is expressed as: ; in, is the power adjustment increment at the current moment, is the increment of power error, , , are the proportional, integral and differential coefficients respectively, is the sampling time interval. Through incremental PID control, the power inner loop controller dynamically adjusts the output power to ensure that it remains stable near the target value. After the control quantity of the dual closed-loop control system is output, it is connected to the wavelength tuning mechanism and the power adjustment mechanism respectively to perform joint compensation control on the wavelength and power. The output of the wavelength outer loop controller is used to adjust the input voltage of the wavelength tuning mechanism so that the wavelength can be accurately tuned to the target value; and the output of the power inner loop controller is used to adjust the input current of the power adjustment mechanism so that the power output remains within the target range. Finally, the calibrated output optical signal is obtained.

[0033] In a specific embodiment, the process of executing step 500 may specifically include the following steps: The calibrated output optical signal is respectively subjected to wavelength power sampling by a high-precision wavelength measurement unit and a power measurement unit to obtain original wavelength power sampling data, and the original wavelength power sampling data is subjected to time synchronization and data alignment processing to generate a synchronous measurement data stream; The synchronous measurement data stream is divided into bands according to the S band, the C band and the L band to generate a sub-band measurement matrix, and the wavelength data in the sub-band measurement matrix is ​​subjected to wavelength reference correction to obtain corrected wavelength measurement data; Calculate wavelength deviation parameters based on the corrected wavelength measurement data, the wavelength deviation parameters include instantaneous deviation, root mean square deviation and maximum deviation, and obtain wavelength accuracy evaluation results; and calculate power deviation parameters based on power data in the synchronous measurement data stream, the power deviation parameters include instantaneous deviation, root mean square deviation and maximum deviation, and obtain power accuracy evaluation results; The wavelength accuracy evaluation results and power accuracy evaluation results are subjected to band correlation analysis to construct the performance evaluation matrix of the S band, C band and L band. The performance evaluation matrix is ​​normalized to generate calibration accuracy data.

[0034] Specifically, the calibrated output optical signal is accurately measured. The wavelength and power of the optical signal are sampled by a high-precision wavelength measurement unit and a power measurement unit, respectively, to obtain the original wavelength power sampling data. Assume that the wavelength value collected by the wavelength measurement unit is The power value collected by the power measurement unit is ,in represents the sampling time point, and the sampling frequency must be high enough to capture the dynamic changes of wavelength and power. The original wavelength and power sampling data are time synchronized and data aligned to generate a synchronized measurement data stream. For example, by linear interpolation or nearest neighbor interpolation, the wavelength and power sampling data are aligned on the same time basis to obtain synchronized wavelength and power data, which are recorded as and ,in Indicates a time point. The synchronous measurement data stream is divided into S band, C band and L band. By making interval judgment on the wavelength data, the data in the synchronous measurement data stream are attributed to different bands, and a sub-band measurement matrix is ​​generated. Suppose the wavelength data matrix is , the power data matrix is , and obtain three sub-band measurement matrices, namely the S-band matrix , , C-band matrix and L-band matrix The wavelength data in each sub-band measurement matrix is ​​calibrated with a wavelength reference to eliminate the system measurement error and make the wavelength data more consistent with the actual target. Assume that the wavelength measurement data after calibration is , which is calculated by the following formula: ; in, The wavelength reference correction value is given by the system's reference equipment to compensate for the error caused by the equipment or environment during the measurement process. Based on the corrected wavelength measurement data, the wavelength deviation parameters are calculated. The wavelength deviation parameters include instantaneous deviation, root mean square deviation and maximum deviation. Instantaneous deviation Defined as the difference between the corrected wavelength and the target wavelength: ; in, is the target wavelength. The root mean square deviation (RMS deviation) indicates the degree to which the wavelength deviates from the target value over a period of time, and its calculation formula is: ; in, is the time interval of observation. Maximum deviation Then is the maximum deviation of the wavelength during the observation period: ; Through the above parameter calculation, the evaluation result of wavelength accuracy is obtained, which reflects the stability and accuracy of the wavelength during the calibration process. Similarly, the power data in the synchronous measurement data stream is analyzed to calculate the power deviation parameters. The power deviation parameters include instantaneous deviation, root mean square deviation and maximum deviation. Instantaneous deviation Express the difference between the corrected power and the target power: ; The RMS deviation represents the average degree to which the power deviates from the target value over a period of time and is calculated as: ; maximum deviation is the maximum deviation of power during the observation time: ; By calculating these power deviation parameters, the power accuracy evaluation results are obtained, which can help determine whether the power meets the required accuracy standards during the entire calibration process. The accuracy evaluation results of wavelength and power are subjected to band correlation analysis to construct the performance evaluation matrix of S band, C band and L band. The performance evaluation matrix is ​​used to comprehensively analyze the performance of wavelength and power in different bands, evaluate their mutual correlation and their comprehensive impact on system performance. Suppose the performance evaluation matrix is , whose elements are expressed as deviation parameters of wavelength and power in each band, such as the matrix elements It is expressed as the sum of the root mean square deviation of wavelength and power in the S band, and is used to characterize the overall calibration accuracy in the band. The performance evaluation matrix is ​​normalized to generate calibration accuracy data. The evaluation results of different bands are standardized to the same scale for easy comparison and analysis. Normalization uses the following formula: ; in, is the element in the performance evaluation matrix, and are the minimum and maximum values ​​in the matrix respectively. The matrix obtained by normalization , the values ​​of all elements are between 0 and 1, so that effective comparison can be made between different bands and indicators.

[0035] In a specific embodiment, the process of executing step 600 may specifically include the following steps: The wavelength and power joint calibration parameter matrix is ​​sorted and analyzed according to the band to generate a parameter distribution characteristic table, and the parameter distribution characteristic table and the parameter importance score matrix are input into the data association processing unit to sort the parameter importance and generate a parameter optimization weight table; Perform statistical analysis on the wavelength root mean square error, wavelength maximum deviation, power root mean square error and power maximum deviation in the calibration accuracy data to generate a performance index analysis curve; Input the performance index analysis curve into the trend analysis unit to generate stability evaluation data, and divide the stability evaluation data according to the time dimension to generate multi-time scale stability data; Compare and analyze the multi-time scale stability data with the preset control indicators to generate a calibration control effect evaluation table; A comprehensive evaluation matrix is ​​constructed based on the parameter optimization weight table, performance index analysis curve and calibration control effect evaluation table. The normalized weight of each evaluation index is calculated using the analytic hierarchy process to generate a comprehensive calibration quality score. The calibration quality comprehensive score, parameter distribution characteristic table, multi-time scale stability data and calibration control effect evaluation table are converted into charts through the data visualization engine to generate a wavelength power calibration report.

[0036] Specifically, the wavelength and power joint calibration parameter matrix is ​​sorted and analyzed according to the S band, C band and L band to generate a parameter distribution characteristic table. The generation of the parameter distribution characteristic table is based on the statistics of the wavelength compensation coefficient, power compensation coefficient and coupling influence coefficient in each band, including characteristic information such as mean, variance and kurtosis. Through statistical analysis, the parameter distribution characteristics of each band are obtained to form a parameter distribution characteristic table. The generated parameter distribution characteristic table and the parameter importance scoring matrix are input into the data association processing unit to sort the parameter importance. The parameter importance scoring matrix contains the relative importance of each parameter in the overall calibration process. Through data association processing, the characteristics within the band and the importance information in the scoring matrix are comprehensively considered to generate a parameter optimization weight table. This weight table is used to clarify the priority of different parameters in calibration. The wavelength root mean square error, wavelength maximum deviation, power root mean square error and power maximum deviation in the calibration accuracy data are statistically analyzed to generate a performance indicator analysis curve. For example, the wavelength root mean square error and power RMS error They respectively represent the degree of fluctuation of wavelength and power during the calibration process, and are calculated as follows: ; ; in, and Current time The wavelength and power, and is the target wavelength and power, is the time interval of observation. By statistically analyzing these indicators, the performance indicator analysis curves of wavelength and power are drawn to reflect the calibration accuracy and stability of the system in different time periods. The performance indicator analysis curve is input into the trend analysis unit to generate stability evaluation data. The purpose of trend analysis is to identify the changing trend of wavelength and power in long-term operation and evaluate the stability of the system. The stability evaluation data is divided according to the time dimension to generate multi-time scale stability data. The multi-time scale stability data is compared and analyzed with the preset control indicators to generate a calibration control effect evaluation table. The preset control indicators are the performance targets in the calibration process. By comparing the multi-time scale stability data with these targets, it is intuitively judged whether the system achieves the expected calibration effect at each time scale. If some indicators fail to meet the control requirements, the evaluation table will show the specific situation of the deviation and provide guidance for subsequent improvements. Based on the parameter optimization weight table, the performance indicator analysis curve and the calibration control effect evaluation table, a comprehensive evaluation matrix is ​​constructed. The hierarchical analysis method is used to calculate the normalized weights of each evaluation indicator to generate a comprehensive score of calibration quality. The process of the hierarchical analysis method includes steps such as constructing a judgment matrix, calculating weight vectors and consistency testing. Comprehensive evaluation matrix Elements in Represents the The indicator for The relative importance of each target is calculated by eigenvalue decomposition to obtain the normalized weight vector w: ; in, is a unit vector, is the maximum eigenvalue of the judgment matrix. Normalized weight vector It is used to comprehensively score each evaluation index, so as to obtain a comprehensive score of calibration quality, which reflects the performance of the system in the overall calibration process. The comprehensive score of calibration quality, parameter distribution characteristic table, multi-time scale stability data and calibration control effect evaluation table are converted into charts through the data visualization engine to generate a wavelength power calibration report. The data visualization engine makes the calibration report easier to understand by converting complex data information into intuitive charts. For example, it generates pie charts of parameter distribution, line charts of calibration accuracy, bar charts of multi-time scale stability, etc., so as to help users intuitively understand the performance of each part of the calibration process.

[0037] The wavelength power calibration method of the wavelength tunable light source in the embodiment of the present application is described above. The wavelength power calibration device 10 of the wavelength tunable light source in the embodiment of the present application is described below. Figure 2 In one embodiment of the present application, a wavelength power calibration device 10 for a wavelength tunable light source includes: The acquisition module 11 is used to collect the spectrum and power of the laser output optical signals in the S band, C band and L band, and generate a wavelength and power joint calibration parameter matrix; A calculation module 12 is used to score and calculate the wavelength compensation coefficient, the power compensation coefficient and the coupling influence coefficient in the wavelength and power joint calibration parameter matrix to obtain a parameter importance score matrix; A processing module 13, configured to construct a first adaptive control unit and a second adaptive control unit based on a parameter importance scoring matrix, generate a wavelength compensation value through the first adaptive control unit, and generate a power compensation value through the second adaptive control unit; The compensation control module 14 is used to input the wavelength compensation value into the wavelength tuning mechanism, input the power compensation value into the power adjustment mechanism, perform joint compensation control on the laser, and obtain a calibrated output optical signal; The measuring module 15 is used to perform wavelength and power tracking measurement on the calibrated output optical signal and calculate the calibration accuracy data; The generating module 16 is used to generate a wavelength power calibration report based on the calibration accuracy data, the parameter importance scoring matrix and the wavelength and power joint calibration parameter matrix.

[0038] Through the collaboration of the above components, by constructing the wavelength and power joint calibration parameter matrix and combining the density peak clustering algorithm, the coupling characteristics of wavelength drift and power fluctuation are accurately described. A multi-level adaptive control unit architecture is adopted, including functional modules such as data preprocessing, feature extraction, compensation calculation and output adjustment, which improves the robustness and adaptability of the calibration system. The parameter importance scoring mechanism is introduced, and the reasonable configuration and dynamic optimization of calibration parameters are achieved through algorithms such as matrix analysis and singular value decomposition. A dual closed-loop control system is designed, which effectively suppresses mutual interference and improves the dynamic response performance of the system through the synergy of the wavelength outer loop and the power inner loop. A complete calibration effect evaluation system is established, including multiple dimensions such as wavelength accuracy, power stability, short-term and long-term stability, to ensure the reliability of the calibration results. A professional data visualization system is developed, which provides an intuitive calibration quality evaluation method through multi-dimensional display such as parameter distribution, performance indicators and stability evaluation. The joint calibration of the entire band (S, C, L band) is realized, making the wavelength accuracy and power stability significantly better than the traditional single parameter calibration method.

[0039] See also Figure 3 , Figure 3 This is a schematic block diagram of the structure of an electronic device 300 provided in an embodiment of the present application. The electronic device 300 includes a processor 301 and a memory 302. The processor 301 and the memory 302 are connected via a device bus 203, wherein the memory 302 may include a non-volatile storage medium and an internal memory.

[0040] The non-volatile storage medium may store a computer program. The computer program includes program instructions, and when the program instructions are executed by the processor 301, the processor 301 may execute any of the above-mentioned wavelength power calibration methods for a wavelength tunable light source.

[0041] The processor 301 is used to provide computing and control capabilities to support the operation of the entire electronic device 300 .

[0042] The internal memory provides an environment for the operation of the computer program in the non-volatile storage medium. When the computer program is executed by the processor 301, the processor 301 can execute any of the above-mentioned wavelength power calibration methods for a wavelength tunable light source.

[0043] Those skilled in the art will understand that Figure 3 The structure shown in the figure is only a block diagram of a partial structure related to the present application scheme, and does not constitute a limitation on the electronic device 300 involved in the present application scheme. The specific electronic device 300 may include more or fewer components than shown in the figure, or combine certain components, or have a different component arrangement.

[0044] It should be understood that the processor 301 may be a central processing unit (CPU), and the processor 301 may also be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. Among them, the general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0045] It should be noted that technicians in the relevant field can clearly understand that for the convenience and simplicity of description, the specific working process of the electronic device 300 described above can refer to the corresponding process of the wavelength power calibration method of the aforementioned wavelength tunable light source, and will not be repeated here.

[0046] An embodiment of the present application also provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by one or more processors, the one or more processors implement the wavelength power calibration method of the wavelength tunable light source provided in the embodiment of the present application.

[0047] The computer-readable storage medium may be an internal storage unit of the electronic device 300 in the aforementioned embodiment, such as a hard disk or memory of the electronic device 300. The computer-readable storage medium may also be an external storage device of the electronic device 300, such as a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), etc. equipped with the electronic device 300.

[0048] 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.

[0049] 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 application is essentially or the part that contributes to the prior art or all 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 an electronic 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 application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM), random access memory (RAM), disk or optical disk, etc., various media that can store program codes.

[0050] As described above, the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. 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 application.

Claims

1. A wavelength power calibration method for a wavelength tunable light source, characterized in that: The method comprises: The spectrum and power of the laser output optical signals of the S-band, C-band and L-band are collected to generate the wavelength and power joint calibration parameter matrix; Scoring and calculating the wavelength compensation coefficient, the power compensation coefficient and the coupling influence coefficient in the wavelength and power joint calibration parameter matrix to obtain a parameter importance scoring matrix; Constructing a first adaptive control unit and a second adaptive control unit based on the parameter importance scoring matrix, generating a wavelength compensation value through the first adaptive control unit, and generating a power compensation value through the second adaptive control unit; Inputting the wavelength compensation value into a wavelength tuning mechanism, inputting the power compensation value into a power adjustment mechanism, performing joint compensation control on the laser, and obtaining a calibrated output optical signal; Performing wavelength and power tracking measurement on the calibrated output optical signal to calculate calibration accuracy data; A wavelength power calibration report is generated based on the calibration accuracy data, the parameter importance score matrix and the wavelength and power joint calibration parameter matrix.

2. The wavelength power calibration method of a wavelength tunable light source according to claim 1, characterized in that: The spectrum and power of the laser output optical signals in the S band, C band and L band are collected to generate a wavelength and power joint calibration parameter matrix, including: N wavelength sampling points are set in the S band, C band and L band respectively, and each wavelength sampling point is measured M times to obtain the original sampling data; According to the original sampling data, a real-time wavelength value is recorded by a spectrum analyzer, and a real-time power value is recorded by a power meter to obtain a real-time measurement data set; Performing a difference calculation between the wavelength value in the real-time measurement data set and the target wavelength value to obtain a wavelength drift amount, and performing a difference calculation between the power value in the real-time measurement data set and the target power value to obtain a power fluctuation amount; Arranging the wavelength drift amount and the power fluctuation amount according to a measurement time sequence respectively to generate a wavelength drift amount matrix and a power fluctuation amount matrix, and normalizing the wavelength drift amount matrix and the power fluctuation amount matrix to generate a normalized wavelength characteristic matrix and a normalized power characteristic matrix; Calculating the wavelength local density and wavelength distance of the normalized wavelength characteristic matrix, and calculating the power local density and power distance of the normalized power characteristic matrix; Based on the first product of the wavelength local density and the wavelength distance, the data points in the normalized wavelength characteristic matrix are sorted in descending order, and the data point with the largest first product is selected as the first cluster center point; and based on the second product of the power local density and the power distance, the data points in the normalized power characteristic matrix are sorted in descending order, and the data point with the largest second product is selected as the second cluster center point; Taking the first cluster center point and the second cluster center point as a reference, a wavelength compensation coefficient, a power compensation coefficient and a coupling influence coefficient are calculated, and the wavelength compensation coefficient, the power compensation coefficient and the coupling influence coefficient are combined to form a wavelength and power joint calibration parameter matrix.

3. The wavelength power calibration method of a wavelength tunable light source according to claim 2, characterized in that: The wavelength compensation coefficient, power compensation coefficient and coupling influence coefficient in the wavelength and power joint calibration parameter matrix are scored and calculated to obtain a parameter importance scoring matrix, including: Constructing a wavelength scoring unit, a power scoring unit and a coupling scoring unit based on the wavelength and power joint calibration parameter matrix, wherein the wavelength scoring unit is used to process the wavelength compensation coefficient, the power scoring unit is used to process the power compensation coefficient, and the coupling scoring unit is used to process the coupling influence coefficient; Calculate the wavelength statistical characteristic parameters of the wavelength drift matrix, the wavelength statistical characteristic parameters include the wavelength data distribution standard deviation and the wavelength data center mean, perform normal distribution calculation to obtain the wavelength weight distribution vector, and calculate the power statistical characteristic parameters of the power fluctuation matrix, the power statistical characteristic parameters include the power data distribution standard deviation and the power data center mean, perform normal distribution calculation to obtain the power weight distribution vector; Performing a cross-correlation operation on the wavelength drift matrix and the power fluctuation matrix to obtain a correlation matrix, and performing eigenvalue decomposition based on the correlation matrix to obtain a coupling weight distribution vector; The wavelength weight distribution vector, the power weight distribution vector and the coupling weight distribution vector are normalized to generate a normalized weight matrix, and a dot product operation is performed on the normalized weight matrix and the wavelength and power joint calibration parameter matrix to obtain a parameter scoring matrix; Each score value in the parameter score matrix is ​​mapped to the interval of 0-100 according to a linear mapping relationship to generate a quantitative score matrix, and a singular value decomposition operation is performed on the quantitative score matrix, and the right singular vector corresponding to the maximum singular value is selected as the parameter importance score matrix.

4. The wavelength power calibration method of a wavelength tunable light source according to claim 3, characterized in that: The step of constructing a first adaptive control unit and a second adaptive control unit based on the parameter importance score matrix, generating a wavelength compensation value by the first adaptive control unit, and generating a power compensation value by the second adaptive control unit includes: Constructing a first adaptive control unit and a second adaptive control unit, wherein the first adaptive control unit includes a first data preprocessing layer, a first feature extraction layer, a first compensation calculation layer and a first output adjustment layer, and the second adaptive control unit includes a second data preprocessing layer, a second feature extraction layer, a second compensation calculation layer and a second output adjustment layer; Input the real-time spectral data into the first data preprocessing layer, the first data preprocessing layer comprises a 5-layer wavelet transform network structure, each layer of the wavelet network comprises a decomposition unit and a reconstruction unit, the decomposition unit adopts the db4 wavelet basis function, the reconstruction unit adopts the soft threshold denoising method, and the denoised spectral data is obtained by layer-by-layer processing; Input the de-noised spectrum data into the first feature extraction layer, the first feature extraction layer comprises a spectrum main peak extraction sublayer, an edge feature extraction sublayer and a shape feature extraction sublayer, the spectrum main peak extraction sublayer adopts a 9-point quadratic polynomial fitting algorithm, the edge feature extraction sublayer adopts a Sobel edge detection operator, and the shape feature extraction sublayer adopts 15 shape descriptors to obtain a spectrum feature vector; The spectral feature vector and the parameter importance score matrix are input into the first compensation calculation layer, the first compensation calculation layer includes 3 fully connected layers, the number of nodes in the first fully connected layer is 128, the number of nodes in the second fully connected layer is 64, the number of nodes in the third fully connected layer is 32, and the ReLU activation function and the Dropout layer are used between each layer to obtain the wavelength compensation parameters; Inputting the wavelength compensation parameter into the first output adjustment layer, the first output adjustment layer comprises a proportional integral loop and a feedforward compensation loop, the proportional coefficient of the proportional integral loop is 0.8, the integral coefficient is 0.2, and the feedforward compensation loop uses a 5th order FIR filter to generate a wavelength compensation value; Inputting the real-time power data and the wavelength compensation value into the second data preprocessing layer, wherein the second data preprocessing layer comprises a data synchronization unit and a standardization unit, wherein the data synchronization unit adopts a nearest neighbor interpolation algorithm, and the standardization unit adopts a Z-score standardization algorithm, to obtain preprocessed power data; Inputting the preprocessed power data into the second feature extraction layer, the second feature extraction layer comprises a 7-layer time domain feature extraction network and a 5-layer frequency domain feature extraction network, the time domain feature extraction network adopts statistical moment features and trend features, and the frequency domain feature extraction network adopts wavelet packet decomposition and Hilbert transform to obtain a power feature vector; Based on the power characteristic vector, the wavelength compensation value and the parameter importance scoring matrix, cascade compensation control is performed in the second compensation calculation layer and the second output adjustment layer. The second compensation calculation layer adopts a dynamic matrix control algorithm, and the second output adjustment layer adopts a composite control structure that combines forward channel compensation and feedback channel compensation to generate a power compensation value.

5. The wavelength power calibration method of a wavelength tunable light source according to claim 4, characterized in that: The step of inputting the wavelength compensation value into a wavelength tuning mechanism, inputting the power compensation value into a power adjustment mechanism, and performing joint compensation control on the laser to obtain a calibrated output optical signal comprises: The wavelength compensation value is converted into voltage by a first digital-to-analog conversion unit to obtain a wavelength tuning control voltage, and the wavelength tuning control voltage is input into the wavelength tuning mechanism by a first driving amplifier circuit, wherein the first driving amplifier circuit comprises a three-stage amplifier unit, wherein the first stage is a differential amplifier, the second stage is a voltage follower, and the third stage is a power operational amplifier; Performing current conversion on the power compensation value through a second digital-to-analog conversion unit to obtain a power regulation control current, and inputting the power regulation control current into the power regulation mechanism through a second drive amplifier circuit, wherein the second drive amplifier circuit includes a constant current source unit and a current detection unit; Acquire the compensated initial calibration optical signal, convert the initial calibration optical signal into an electrical signal through a photoelectric conversion unit to obtain a photoelectric conversion signal, and digitally sample the photoelectric conversion signal through a third digital-to-analog conversion unit to obtain digital feedback data; The digital feedback data is input into a dual closed-loop control system, wherein the dual closed-loop control system comprises a wavelength outer-loop controller and a power inner-loop controller, wherein the wavelength outer-loop controller adopts a feedforward-feedback composite control structure, and the power inner-loop controller adopts an incremental PID algorithm, so as to obtain the control quantity output by the dual closed-loop control system, and respectively connect to the wavelength tuning mechanism and the power adjustment mechanism to obtain a calibrated output optical signal.

6. The wavelength power calibration method of a wavelength tunable light source according to claim 5, characterized in that: The step of performing wavelength and power tracking measurement on the calibrated output optical signal and calculating calibration accuracy data includes: The calibrated output optical signal is subjected to wavelength power sampling by a high-precision wavelength measurement unit and a power measurement unit respectively to obtain original wavelength power sampling data, and the original wavelength power sampling data is subjected to time synchronization and data alignment processing to generate a synchronous measurement data stream; Dividing the synchronous measurement data stream into bands according to S band, C band and L band to generate a sub-band measurement matrix, and performing wavelength reference correction on the wavelength data in the sub-band measurement matrix to obtain corrected wavelength measurement data; Calculating wavelength deviation parameters based on the corrected wavelength measurement data, the wavelength deviation parameters including instantaneous deviation, root mean square deviation and maximum deviation, to obtain a wavelength accuracy evaluation result; and calculating power deviation parameters based on the power data in the synchronous measurement data stream, the power deviation parameters including instantaneous deviation, root mean square deviation and maximum deviation, to obtain a power accuracy evaluation result; The wavelength accuracy evaluation results and the power accuracy evaluation results are subjected to band correlation analysis, performance evaluation matrices of the S band, C band and L band are constructed, and the performance evaluation matrices are subjected to index normalization processing to generate calibration accuracy data.

7. The wavelength power calibration method of a wavelength tunable light source according to claim 6, characterized in that: The generating a wavelength power calibration report based on the calibration accuracy data, the parameter importance score matrix and the wavelength and power joint calibration parameter matrix comprises: Arrange and analyze the wavelength and power joint calibration parameter matrix according to the band to generate a parameter distribution feature table, and input the parameter distribution feature table and the parameter importance score matrix into a data association processing unit to sort the parameter importance and generate a parameter optimization weight table; Performing statistical analysis on the wavelength root mean square error, wavelength maximum deviation, power root mean square error and power maximum deviation in the calibration accuracy data to generate a performance index analysis curve; Inputting the performance index analysis curve into a trend analysis unit to generate stability evaluation data, and dividing the stability evaluation data according to the time dimension to generate multi-time scale stability data; Comparing and analyzing the multi-time scale stability data with preset control indicators to generate a calibration control effect evaluation table; A comprehensive evaluation matrix is ​​constructed based on the parameter optimization weight table, the performance index analysis curve and the calibration control effect evaluation table, and a hierarchical analysis method is used to calculate the normalized weight of each evaluation index to generate a comprehensive calibration quality score; The calibration quality comprehensive score, the parameter distribution characteristic table, the multi-time scale stability data and the calibration control effect evaluation table are converted into charts through a data visualization engine to generate a wavelength power calibration report.

8. A wavelength power calibration device for a wavelength tunable light source, characterized in that: Used to perform the wavelength power calibration method of the wavelength tunable light source according to any one of claims 1 to 7, the wavelength power calibration device of the wavelength tunable light source comprising: The acquisition module is used to collect the spectrum and power of the laser output optical signals in the S-band, C-band and L-band, and generate a wavelength and power joint calibration parameter matrix; A calculation module, used for scoring and calculating the wavelength compensation coefficient, the power compensation coefficient and the coupling influence coefficient in the wavelength and power joint calibration parameter matrix to obtain a parameter importance scoring matrix; A processing module, configured to construct a first adaptive control unit and a second adaptive control unit based on the parameter importance scoring matrix, generate a wavelength compensation value through the first adaptive control unit, and generate a power compensation value through the second adaptive control unit; A compensation control module, used to input the wavelength compensation value into a wavelength tuning mechanism, input the power compensation value into a power adjustment mechanism, perform joint compensation control on the laser, and obtain a calibrated output optical signal; A measurement module, used to perform wavelength and power tracking measurement on the calibrated output optical signal, and calculate calibration accuracy data; A generation module is used to generate a wavelength power calibration report based on the calibration accuracy data, the parameter importance scoring matrix and the wavelength and power joint calibration parameter matrix.

9. An electronic device, characterized in that: The electronic device comprises: a memory and at least one processor, wherein instructions are stored in the memory; The at least one processor calls the instructions in the memory to enable the electronic device to execute the wavelength power calibration method for a wavelength tunable light source according to any one of claims 1 to 7.

10. A computer-readable storage medium having instructions stored thereon, characterized in that: When the instructions are executed by the processor, the wavelength power calibration method of the wavelength tunable light source according to any one of claims 1 to 7 is implemented.

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