CN-122016255-A - Multi-source disturbance self-calibration method and system for rotary filter type monochromator

CN122016255ACN 122016255 ACN122016255 ACN 122016255ACN-122016255-A

Abstract

The invention relates to a multi-source disturbance self-calibration method and system of a rotary filter type monochromator, and belongs to the technical field of optical instrument filter calibration. The method comprises the steps of converting response characteristics of a multi-source disturbance signal into disturbance energy spectrum base vectors, extracting spectral bandwidth distribution to obtain spectrum self-disturbance calibration parameters, conducting pre-constraint on luminous flux, detecting convergence states of real-time spectrum observation values under disturbance change conditions, conducting confidence calibration on disturbance contribution weights relied on by self-calibration operation to generate a filtering disturbance compensation control strategy, constructing a filtering performance evolution model, identifying spectral wavelength offset and resolution data after disturbance self-calibration, verifying a monochromator filtering degradation period, outputting a filtering calibration feedback report, setting a critical interference stability threshold, establishing a filtering virtual regulation mechanism, enhancing compensation calibration weights of the filtering disturbance compensation control strategy, and generating a filtering disturbance self-calibration scheme.

Inventors

MIAO TONGQUN

Assignees

上海新产业光电技术有限公司

Dates

Publication Date: 20260512
Application Date: 20260227

Claims (12)

1. A method for self-calibrating multisource disturbance of a rotary filter monochromator, comprising: S1, acquiring multi-source disturbance signal response data, constructing a filtering mapping disturbance response framework, converting the multi-source disturbance signal response characteristics into disturbance energy spectrum base vectors, extracting spectral bandwidth distribution through a spectral network decomposition algorithm, and storing the spectral bandwidth distribution into an equivalent distortion reference spectral library with disturbance labels to obtain spectral self-disturbance calibration parameters; S2, based on the spectrum self-disturbance calibration parameters, performing light flux preposition constraint, inputting disturbance perception spectrum inversion functions, detecting the convergence state of real-time spectrum observation values under disturbance change conditions, calling self-calibration operation dependence of multi-source disturbance signal response data, performing confidence degree calibration on disturbance contribution weights depended by the self-calibration operation, and generating a filtering disturbance compensation control strategy; S3, constructing a filtering performance evolution model aiming at the filtering disturbance compensation control strategy, identifying spectral wavelength offset and resolution data after disturbance self-calibration, carrying out phase matching with a historical degradation sample in the equivalent distortion reference spectrum library based on a time sequence characteristic alignment algorithm, verifying a monochromator filtering degradation period, and outputting a filtering calibration feedback report; And S4, analyzing the filter stability margin of the self-disturbance calibration parameters of the light filter according to the filter calibration feedback report, setting a critical interference stability threshold, establishing a filter virtual regulation mechanism, and enhancing the compensation calibration weight of the filter disturbance compensation control strategy when the disturbance projection variation approaches the critical interference stability threshold to generate a filter disturbance self-calibration scheme.
2. The method of claim 1, wherein the method for constructing the filter mapping disturbance response architecture is characterized in that the method comprises the steps of performing unified parametric coding on environment and filter disturbance based on multi-source disturbance signal response data, wherein the multi-source disturbance signal response data comprise environment disturbance response data and light source working state disturbance response data, generating a disturbance feature vector set with time calibration, performing cross-band correction decomposition by combining a spectrum response sequence corresponding to the disturbance feature vector set, mapping the spectrum response sequence to a spectrum state tensor domain, extracting wavelength drift components and resolution attenuation components caused by different disturbance sources, and constructing the filter mapping disturbance response architecture.
3. The method of claim 1, wherein the spectral network decomposition algorithm extracts the spectral bandwidth distribution by reconstructing a multi-dimensional numerical field of local spectral intensity, phase and noise characteristics of a disturbance energy spectrum base vector, simulating a multi-source disturbance vector field in a rotary filter monochromator, calculating local harmonic intensity and spectral index in the disturbance vector field based on a network decomposition control algorithm, and decomposing and adjusting the bandwidth distribution by taking spectral resolution as a disturbance label to obtain the spectral bandwidth distribution of multi-source disturbance signal response data.
4. The method of claim 1, wherein the structural layer of the equivalent distortion reference spectrum library adopts a layered spectrum state coding structure and comprises a spectrum energy distribution layer and a resolution attenuation characteristic layer, disturbance source labels and time calibration information are introduced into each layer of characteristics to generate spectrum distortion state vectors, equivalent mapping clustering is carried out on spectrum responses under different disturbance combination conditions to form disturbance equivalent subspace clusters, a corresponding distortion basis vector set is established for each subspace cluster, spectrum structure evolution modes under different filtering degradation stages and disturbance intensity levels are stored, and spectrum self-disturbance calibration parameters are obtained.
5. The method according to claim 1, wherein the light flux pre-constraint is implemented before the disturbance-aware spectral shape inversion function is implemented, the spectral self-disturbance calibration parameter is projected to a light flux control space, a suppression weight is applied to an energy adjustment amplitude corresponding to a high-frequency spectral shape component, a compensation weight is applied to a low-frequency energy drift component, and a spectral shape information change caused by light flux adjustment is corrected to obtain a filter pre-constraint value.
6. The method of claim 5, wherein the disturbance-aware spectral shape inversion function takes a filter pre-constraint value as an input variable, outputs an initial spectral shape state vector, wherein the initial spectral shape state vector comprises a wavelength drift component and a bandwidth compression component, maps the initial spectral shape state vector to a local spectral shape response node based on a spectral self-disturbance calibration parameter, associates spectral shape changes of different wavelength sections with corresponding disturbance source contribution weights, recursively corrects the spectral shape inversion coefficient and the unsteady-state perception parameter, and detects a convergence state.
7. The method of claim 1, wherein the method for generating the filter disturbance compensation control strategy comprises the steps of invoking self-calibration operation dependence of response data of multi-source disturbance signals, carrying out weight reconstruction on response coupling relations of different disturbance sources on each frequency band of a spectrum, constructing a spectrum shift contribution matrix, analyzing the spectrum shift contribution matrix of a current filter state by combining a spectrum domain orthogonal projection algorithm, calculating disturbance spectrum base vectors of a calibration confidence interval, and carrying out short-time disturbance pre-compensation on time sequence drift of the disturbance spectrum base vectors to generate the filter disturbance compensation control strategy.
8. The method according to claim 1, wherein the method for constructing the filter performance evolution model is as follows: Mapping the spectrum observation sequence subjected to spectrum self-disturbance calibration to a multidimensional spectrum state tensor domain, wherein the multidimensional spectrum state tensor domain comprises a wavelength drift gradient dimension, a spectrum resolution attenuation dimension, performing time calibration on a degradation sample in an equivalent distortion reference spectrum library to obtain a spectrum filtering evolution track, calculating a disturbance evolution sequence of a current multidimensional spectrum state tensor according to the spectrum filtering evolution track, and constructing a filtering performance evolution model comprising a spectrum domain evolution structure; The spectrum domain evolution structure comprises a frequency domain branch and a time domain branch, wherein the frequency domain branch is used for controlling spectrum bandwidth compression and a center wavelength offset range, and the time domain branch is used for describing resolution attenuation rate and recovery inertia parameters under disturbance triggering.
9. The method of claim 8, wherein the timing characteristic alignment algorithm limits local deformation amplitude of the disturbance alignment path according to the self-calibrated spectral wavelength offset and resolution data, introduces disturbance sensitivity penalty factors in the process of searching the calibration path, adaptively adjusts matching cost of the disturbance mutation section, and outputs a corresponding degradation stage matching result.
10. The method of claim 1, wherein the filtering calibration feedback report is output by constructing a degradation risk density function based on historical degradation samples in an equivalent distortion reference spectrum library, layering confidence intervals of the risk density function, generating a filtering working state grade, reversely mapping the filtering working state grade and a filtering compensation gain value in a filtering disturbance compensation control strategy, extracting a first-order change rate and a second-order acceleration factor in a degradation evolution track, performing compression labeling and time stamp binding according to a disturbance sensitivity grading rule, and outputting the filtering calibration feedback report.
11. The method of claim 1, wherein the filter virtual regulatory mechanism comprises a spectral shape response layer and a filter execution layer; The spectral response layer takes spectral shift and disturbance gradient as input variables, invokes a spectral shift contribution matrix, and performs gradient calculation on a flow diffusion process of filter distribution in a monochromator to obtain spectral response increment of each grid node; And the filtering execution layer takes the upper limit and the lower limit of compensation corresponding to each time step and each grid node as dynamic boundary conditions of control variables according to a critical interference stability threshold, and carries out gradient limitation on the compensation variation amplitude of the adjacent time steps according to the dynamic boundary conditions to generate a filtering disturbance self-calibration scheme.
12. A multi-source disturbance self-calibration system for a rotary filter monochromator for performing the method of any one of claims 1 to 11, comprising: The spectrum disturbance perception modeling module is used for acquiring multi-source disturbance signal response data, constructing a filtering mapping disturbance response framework, converting the multi-source disturbance signal response characteristics into disturbance energy spectrum base vectors, extracting spectrum bandwidth distribution through a spectrum network decomposition algorithm, and storing the spectrum bandwidth distribution into an equivalent distortion reference spectrum library with disturbance labels to obtain spectrum self-disturbance calibration parameters; The filtering self-disturbance inversion supplementing module is used for carrying out prepositive constraint on luminous flux based on the spectrum self-disturbance calibration parameters, inputting a disturbance perception spectrum inversion function, detecting the convergence state of a real-time spectrum observation value under the disturbance change condition, calling self-calibration operation dependence of multi-source disturbance signal response data, carrying out confidence degree calibration on disturbance contribution weights depended by the self-calibration operation, and generating a filtering disturbance compensation control strategy; The filtering evolution verification module is used for constructing a filtering performance evolution model aiming at the filtering disturbance compensation control strategy, identifying spectral wavelength deviation and resolution data after disturbance self-calibration, carrying out phase matching with a historical degradation sample in the equivalent distortion reference spectral library based on a time sequence characteristic alignment algorithm, verifying a monochromator filtering degradation period and outputting a filtering calibration feedback report; and the virtual feedback analysis and control module is used for analyzing the filter stability margin of the self-disturbance calibration parameters of the light filter according to the filter calibration feedback report, setting a critical interference stability threshold value, establishing a filter virtual control mechanism, and enhancing the compensation calibration weight of the filter disturbance compensation control strategy when the disturbance projection variation approaches the critical interference stability threshold value to generate a filter disturbance self-calibration scheme.

Description

Multi-source disturbance self-calibration method and system for rotary filter type monochromator Technical Field The invention belongs to the technical field of optical instrument filtering calibration, and particularly relates to a multi-source disturbance self-calibration method and system of a rotary filtering monochromator. Background With the wide application of high-precision spectrum measurement technology in the fields of industrial detection, environmental monitoring, biomedical analysis, precision manufacturing and the like, the requirements of a spectrometer system on measurement stability and long-term reliability are continuously improved. However, in the actual operation process, the spectrum acquisition system is susceptible to multi-source disturbance factors including environmental temperature and humidity change, mechanical vibration, fluctuation of light source output, aging of a light filtering device and the like, and these factors can cause spectral center wavelength drift, bandwidth change, resolution degradation and spectrum microstructure distortion, so that a measurement result deviates from a true value. In the prior art, a periodic manual calibration or a compensation method based on a single error model is mostly adopted, so that the spectrum structure change process under the coupling effect of multi-source disturbance is difficult to accurately represent, and the dynamic perception and prediction of the degradation trend of the optical filter cannot be performed. In addition, the traditional calibration mode usually focuses on static error correction, lacks modeling capability of evolution characteristics of the performance of the light spectrum along with time, and cannot realize self-adaptive adjustment under the condition that disturbance continuously changes, so that measurement consistency of the system is reduced in long-term operation, and maintenance cost is increased. Therefore, a spectrum measurement method capable of sensing multi-source disturbance, describing spectrum performance evolution rules and realizing self-calibration and self-adaptive compensation control is needed to improve the stability and intelligence level of a spectrum system. Disclosure of Invention In order to solve the problems in the prior art, the invention provides a multi-source disturbance self-calibration method of a rotary filter monochromator, The aim of the invention can be achieved by the following technical scheme: S1, acquiring multi-source disturbance signal response data, constructing a filtering mapping disturbance response framework, converting the multi-source disturbance signal response characteristics into disturbance energy spectrum base vectors, extracting spectral bandwidth distribution through a spectral network decomposition algorithm, and storing the spectral bandwidth distribution into an equivalent distortion reference spectral library with disturbance labels to obtain spectral self-disturbance calibration parameters; S2, based on the spectrum self-disturbance calibration parameters, performing light flux preposition constraint, inputting disturbance perception spectrum inversion functions, detecting the convergence state of real-time spectrum observation values under disturbance change conditions, calling self-calibration operation dependence of multi-source disturbance signal response data, performing confidence degree calibration on disturbance contribution weights depended by the self-calibration operation, and generating a filtering disturbance compensation control strategy; S3, constructing a filtering performance evolution model aiming at the filtering disturbance compensation control strategy, identifying spectral wavelength offset and resolution data after disturbance self-calibration, carrying out phase matching with a historical degradation sample in the equivalent distortion reference spectrum library based on a time sequence characteristic alignment algorithm, verifying a monochromator filtering degradation period, and outputting a filtering calibration feedback report; And S4, analyzing the filter stability margin of the self-disturbance calibration parameters of the light filter according to the filter calibration feedback report, setting a critical interference stability threshold, establishing a filter virtual regulation mechanism, and enhancing the compensation calibration weight of the filter disturbance compensation control strategy when the disturbance projection variation approaches the critical interference stability threshold to generate a filter disturbance self-calibration scheme. The construction method of the filter mapping disturbance response framework comprises the steps of carrying out unified parameterization coding on environment and filter disturbance based on multi-source disturbance signal response data, wherein the multi-source disturbance signal response data comprises environment disturbance response data and light source working