Optical data processing method for deep space exploration lighting

Abstract

The present application relates to a kind of optical data processing methods of deep space exploration lighting, comprising the following steps: obtaining the working environment parameter of deep space exploration lighting lens system, and the stress light effect test data of lens material under different extremely low temperature conditions;Simulate the incident light beam of different polarization state;The lens material and coating scheme of deep space exploration lighting lens system are optimized;Liquid crystal variable transmittance device is installed on each lens unit of deep space exploration lighting lens system, and the transmittance of each lens unit is adjusted in real time;Using neural network algorithm, historical ideal illumination intensity distribution data is trained;The environmental temperature of lens material is monitored in real time;The working process of deep space exploration lighting is continuously monitored.The present application continuously optimizes control system through continuous monitoring and data collection, improves the working stability and illumination effect of deep space exploration lighting under extreme environment, and provides reliable lighting guarantee for deep space exploration mission.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and in particular to a method for processing optical data of a lighting lamp for deep space exploration. Background Art

[0002] During deep space exploration missions, the lens systems of illumination lamps face the challenge of extremely low temperatures. Under these conditions, the stress-optical effect of the lens material undergoes significant changes, resulting in unpredictable changes in the material's birefringence. This birefringence alters the polarization state of the transmitted light beam, which in turn affects the intensity distribution of the illumination. To achieve the desired illumination effect, the transmittance of each lens element must be monitored and adjusted in real time to dynamically optimize the light intensity distribution.

[0003] However, due to the complex changes in material properties in extremely low temperature environments, traditional control algorithms are difficult to adapt. It is necessary to develop intelligent control methods that can adaptively adjust the working status of each lens unit based on real-time monitoring data, and take into account the energy consumption and reliability of the system while meeting the light intensity distribution requirements; in addition, it is also necessary to consider the impact of extremely low temperature conditions on the lens material itself, such as thermal expansion and contraction, changes in mechanical strength, etc., to ensure that the lens system can work stably for a long time; these factors together constitute a complex technical problem, which requires in-depth research and innovation in multiple fields such as materials, optics, and control to provide reliable and efficient lighting guarantees for deep space exploration missions. Summary of the Invention

[0004] To address the aforementioned issues with the existing technology, the present invention provides a method for processing optical data for deep-space exploration illuminators. This method, through continuous monitoring and data collection, continuously optimizes the control system, improving the operating stability and lighting performance of deep-space exploration illuminators in extreme environments, thereby providing reliable lighting support for deep-space exploration missions.

[0005] The optical data processing method of a deep space exploration lighting lamp according to the present invention comprises the following steps:

[0006] S1. Obtain the working environment parameters of the deep space exploration lighting lens system and the stress-light effect test data of the lens material under different extremely low temperature conditions, and obtain the change curve of the material birefringence characteristic parameters at different temperatures;

[0007] S2. Based on the change curve, simulate and calculate the change of the polarization state of the incident light beam with different polarization states after passing through the birefringent lens, and obtain the change law of the polarization state of the transmitted light beam with the polarization state of the incident light and the birefringence parameters of the lens material;

[0008] S3. Based on the above mentioned variation patterns, the lens material and coating scheme of the deep space exploration lighting lens system are optimized, and a depolarizing device is introduced to offset some of the residual polarization state changes of the transmitted light beam.

[0009] S4. Installing a liquid crystal variable transmittance device on each lens unit of the deep space exploration lighting lens system to adjust the transmittance of each lens unit in real time to obtain an actual light intensity distribution that is closest to the ideal illumination light intensity distribution;

[0010] S5. Using a neural network algorithm to train historical ideal illumination light intensity distribution data, and based on the transmittance value required for each lens unit under the target light intensity distribution, calculate the optimal operating parameter combination of the liquid crystal variable transmittance device of each lens unit under any given illumination light intensity distribution target;

[0011] S6. Real-time monitoring of the ambient temperature of the lens material, and when the temperature change causes the birefringence characteristics of the material to change, monitoring the change in the polarization state of the transmitted light beam of the deep space exploration lighting lens system;

[0012] S7. Continuously monitor the working process of deep space exploration lighting and collect the temperature, polarization state and light intensity distribution of the lens system to dynamically optimize the adjustment accuracy and response speed.

[0013] Preferably, the step S1 specifically includes:

[0014] Acquire optical path difference data and stress distribution data from a deep space exploration lighting lens system, and collect stress distribution change characteristic parameters using an optical sensor based on the stress distribution data;

[0015] According to the stress distribution change characteristic parameters, three sets of strain characteristic quantities, namely displacement, shear strain and volume strain, are collected by strain sensors to establish a photoelastic stress calculation matrix;

[0016] For the photoelastic stress calculation matrix, a refractive index curve of the lens material is obtained from an optical property measuring instrument, and a numerical fitting model is established for the birefringence characteristic parameters of the material according to the refractive index curve;

[0017] According to the numerical fitting model, temperature field data is collected from the temperature sensor array, the birefringence change value is calculated based on the temperature field data, and the birefringence characteristic parameters are compensated and corrected to generate the change curve of the material birefringence characteristic parameters at different temperatures.

[0018] Preferably, the step S2 specifically includes:

[0019] Based on the change curve, temperature and birefringence difference mapping relationship data are generated, and optical path difference accumulation data is calculated by a ray tracing unit;

[0020] Decompose the three-dimensional polarization vector coordinates of the incident light into polarization states, and obtain the polarization direction angle and polarization degree data of the incident light through the polarization degree measurement unit;

[0021] A matrix is ​​established based on the incident light polarization state data and the birefringence difference data, and the phase delay of the transmitted light is calculated by matrix multiplication;

[0022] The coupling relationship between the temperature field and birefringence parameters is established based on the temperature variation curve of the polarization degree of the transmitted light. The stress-induced birefringence value is obtained through photoelastic stress calculation, and the variation law of the polarization state of the transmitted light beam with the polarization state of the incident light and the birefringence parameters of the lens material is obtained.

[0023] Preferably, the step S3 specifically includes:

[0024] According to the variation rule, the lens unit polarization state transfer matrix is ​​used to perform numerical fitting on the optical axis orientation of each lens and the transmission polarization state conversion parameter to obtain the optimized value of the initial optical axis orientation;

[0025] According to the initial optical axis orientation optimization value, the lens coating layer thickness parameters are iteratively optimized by interface reflection phase delay coupling calculation to obtain coating layer thickness distribution data;

[0026] According to the coating layer thickness distribution data, polarization state conversion parameters of adjacent lens interfaces are matched and optimized by a polarization state conversion compensation method to obtain polarization matching compensation data of the lens group;

[0027] According to the polarization matching compensation data of the lens group, the birefringence parameters of the lens material and the coating scheme are comprehensively optimized through layer-by-layer optical path difference accumulation calculation to obtain the polarization state stabilization data of the transmitted light beam.

[0028] Preferably, the step S4 specifically includes:

[0029] Obtain the light intensity value of each lens unit collected by the photodetector array and establish a database of mapping relationship between liquid crystal device transmittance and driving voltage;

[0030] According to the mapping relationship database, the orientation angle is numerically solved by using the correlation calculation between the arrangement direction of the liquid crystal molecules and the transmittance to obtain the initial modulation data of the transmittance;

[0031] Correcting the response time of the liquid crystal device for the initial transmittance modulation data to obtain temperature-corrected transmittance modulation data;

[0032] According to the temperature-corrected transmittance modulation data, a collaborative optimization algorithm is used to dynamically match the transmittances between adjacent lens units to obtain light intensity distribution collaborative control data.

[0033] Preferably, the step S5 specifically includes:

[0034] Acquiring light intensity distribution data, preprocessing the light intensity distribution data through normalization, and obtaining a transmittance mapping relationship database using data stratified sampling;

[0035] Constructing a three-layer neural network structure based on the transmittance mapping relationship database, optimizing the network parameters through a back propagation algorithm to obtain trained network parameters;

[0036] Establishing a lens group transmittance loss function for the trained network parameters, and iteratively calculating the transmittance loss function using a gradient descent method to obtain transmittance parameters after combined optimization;

[0037] A light intensity distribution similarity evaluation function is established based on the transmittance parameters after the combination optimization, and a matching verification result between the transmittance combination and the target light intensity distribution is obtained by calculating the Pearson correlation coefficient;

[0038] The driving voltage parameters and operating temperature parameters of each lens unit are generated according to the matching verification results, and a parameter combination dynamic adjustment function is established to obtain the optimal operating parameter combination database.

[0039] Preferably, the step S6 specifically includes:

[0040] Collecting temperature distribution data of a lens material temperature sensor array, and calculating temperature differences at adjacent moments based on the temperature distribution data to obtain a change in birefringence difference;

[0041] Establishing a refractive index anisotropy matrix according to the birefringence difference variation, and performing optical path difference accumulation calculation using the refractive index anisotropy matrix to obtain a value of optical property variation;

[0042] According to the polarization degree and polarization direction data of the transmitted light, a polarization state change is obtained by Stokes parameter calculation, and it is determined whether the polarization state change exceeds a preset threshold;

[0043] If the polarization state change exceeds a preset threshold, the transmitted light is phase-delayed modulated by the wave plate array, and the photoelectric detector is used to calculate the unevenness of the transmitted light intensity distribution after compensation to obtain a characteristic value of the light intensity distribution change.

[0044] Preferably, the step S7 specifically includes:

[0045] Acquire real-time parameters collected by the temperature sensor, the polarization state sensor, and the light intensity sensor, and obtain a standardized parameter matrix through normalization processing according to the real-time parameters;

[0046] Extracting a parameter coupling eigenvector from the standardized parameter matrix, establishing a control response time index calculation function based on the parameter coupling eigenvector, obtaining a quantitative index value through fuzzy membership calculation, and determining a weight coefficient from the quantitative index value using a hierarchical analysis method;

[0047] An adaptive update function of the controller parameters is constructed according to the weight coefficients, and the controller parameters are corrected in real time through error feedback calculation to obtain an adaptive optimization parameter group.

[0048] The optical data processing method of a deep space exploration lighting lamp described in the present invention has the following advantages:

[0049] The present invention addresses the issue of abnormal polarization and light intensity distribution caused by changes in the birefringence characteristics of lens materials in extremely low-temperature environments. By real-time monitoring of ambient temperature and the polarization state of the transmitted light beam, combined with previously acquired temperature curves for the material's birefringence characteristics, the optical axis orientation and polarization state matching relationship of the lens unit are dynamically adjusted. A liquid crystal variable transmittance device and a neural network algorithm are employed to precisely control the energy distribution of the transmitted light beam, achieving an actual light intensity distribution that most closely matches the ideal illumination intensity distribution. Through continuous monitoring and data collection, and continuous optimization of the control system, the present invention improves the operating stability and lighting performance of deep-space exploration illuminators in extreme environments, providing reliable lighting support for deep-space exploration missions. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] Figure 1 The present invention is a flowchart of an optical data processing method for a lighting lamp for deep space exploration. DETAILED DESCRIPTION

[0051] like Figure 1 As shown, the optical data processing method of a deep space exploration lighting lamp according to the present invention includes the following steps:

[0052] S1. Obtain the working environment parameters of the deep space exploration lighting lens system and the stress-light effect test data of the lens material under different extremely low temperature conditions, and obtain the change curve of the material birefringence characteristic parameters at different temperatures;

[0053] S2. Based on the change curve, simulate and calculate the change of the polarization state of the incident light beam with different polarization states after passing through the birefringent lens, and obtain the change law of the polarization state of the transmitted light beam with the polarization state of the incident light and the birefringence parameters of the lens material; specifically, simulate and calculate the incident light beam with different polarization states by using polarization optical simulation software;

[0054] S3. Based on the variation pattern, optimize the lens material and coating scheme of the deep space exploration lighting lens system, and introduce a depolarizing device to offset some of the residual polarization state changes of the transmitted light beam. Specifically, optimize the lens material and coating scheme of the deep space exploration lighting lens system, adjust the optical axis orientation and polarization state matching relationship of each lens unit, and introduce a depolarizing device to offset some of the residual polarization state changes of the transmitted light beam.

[0055] S4. Installing a liquid crystal variable transmittance device on each lens unit of the deep space exploration lighting lens system to adjust the transmittance of each lens unit in real time to obtain an actual light intensity distribution that is closest to the ideal illumination light intensity distribution. Specifically, based on the parameters obtained by the variable transmittance device, the transmittance of each lens unit is adjusted in real time to dynamically change the energy distribution of the transmitted light beam to obtain an actual light intensity distribution that is closest to the ideal illumination light intensity distribution.

[0056] S5. Using a neural network algorithm to train historical ideal illumination light intensity distribution data, and based on the transmittance value required for each lens unit under the target light intensity distribution, calculating the optimal operating parameter combination of the liquid crystal variable transmittance device of each lens unit under any given illumination light intensity distribution target; specifically, using a neural network algorithm to train historical ideal illumination light intensity distribution data, outputting a corresponding combination of lens unit liquid crystal variable transmittances, and iteratively optimizing the lens unit liquid crystal variable transmittances;

[0057] S6. Real-time monitoring of the ambient temperature of the lens material, and when the temperature change causes the birefringence characteristics of the material to change, monitoring the change in the polarization state of the transmitted light beam of the deep space exploration lighting lens system;

[0058] S7. Continuously monitor the working process of deep space exploration lighting and collect the temperature, polarization state and light intensity distribution of the lens system to dynamically optimize the adjustment accuracy and response speed.

[0059] Furthermore, in this embodiment, step S1 specifically includes:

[0060] Obtain optical path difference data and stress distribution data from the deep space exploration lighting lens system, and collect stress distribution change characteristic parameters on the optical sensor based on the stress distribution data;

[0061] According to the characteristic parameters of stress distribution change, three sets of strain characteristic quantities, namely displacement, shear strain and volume strain, are collected by strain sensors to establish a photoelastic stress calculation matrix.

[0062] For the calculation matrix of photoelastic stress, the refractive index curve of the lens material is obtained from the optical property measuring instrument, and a numerical fitting model is established for the birefringence characteristic parameters of the material based on the refractive index curve;

[0063] According to the numerical fitting model, the temperature field data is collected from the temperature sensor array, the birefringence change value is calculated through the temperature field data, and the birefringence characteristic parameters are compensated and corrected to generate the change curve of the material birefringence characteristic parameters at different temperatures;

[0064] Specifically, optical path difference data and stress distribution data are obtained from the lens system of a deep space exploration lighting lamp. Characteristic parameters of stress distribution changes in the range from zero stress state to the upper stress limit are collected by an optical sensor. Light intensity attenuation compensation is then performed on the collected stress values ​​in the stress sensor. The stress-light effect correlation value of the lens material is calculated based on the sensor compensation value.

[0065] Based on the stress-light effect correlation values ​​of the deep space exploration lighting lens system, three sets of strain characteristic quantities, namely displacement, shear strain, and volume strain, are collected by strain sensors. The lens strain parameters and optical path difference data are correlated and analyzed within the strain acquisition unit. A photoelastic stress calculation matrix is ​​established, and the mapping relationship between stress values ​​and strain data is calculated using photoelastic theory.

[0066] Based on the changes in the optical properties of the material of the deep space exploration lighting lens system in the temperature range of -200 degrees Celsius to -20 degrees Celsius, the refractive index curve of the lens material is obtained from the optical property measuring instrument, and the transmittance data is collected in the transmittance measurement unit. A ray tracing algorithm is used to establish a numerical fitting model for the relationship between the material birefringence characteristic parameters and temperature changes.

[0067] According to the temperature distribution of the deep space exploration lighting lens system, the temperature field data is collected from the temperature sensor array, and the temperature distribution surface is generated through bilinear interpolation. The thermal stress distribution of the lens is numerically solved based on the temperature distribution surface data.

[0068] Based on the numerical solution results of the thermal stress of the deep space exploration lighting lens system, the temperature field and stress field coupling relationship is established in the stress-strain analysis unit. The birefringence change value is obtained through the stress-optical coefficient calculation unit, and the birefringence characteristic curve of the material at different temperatures is numerically fitted.

[0069] For the birefringence characteristic curve of the deep space exploration lighting lens system, a stress distribution cloud map is obtained in the photoelastic stress analysis unit, and the stress distribution cloud map data is used to compensate for the birefringence effect of the material. Based on the compensated data, a birefringence characteristic parameter curve under the action of temperature-stress coupling is generated;

[0070] Here is an example:

[0071] The lens system of deep space exploration lighting is subjected to extreme temperature environments during operation, and the lens material will produce stress light effects, resulting in changes in birefringence characteristics;

[0072] During the measurement process, a high-precision optical sensor array is used with a sensor sampling frequency of 1000Hz, which can collect real-time stress distribution data on the lens surface;

[0073] For the range from zero stress state to the upper stress limit of 300MPa, a set of stress distribution characteristic parameters is recorded every 0.1MPa, and the influence of environmental noise is eliminated by light intensity attenuation compensation processing;

[0074] When the strain sensor collects three sets of strain characteristics of the lens material, the displacement measurement range is 0 to 500 microns, the shear strain measurement range is 0 to 1000 microstrain, and the body strain measurement range is 0 to 2000 microstrain, with a sampling accuracy of 0.01 micron.

[0075] The strain acquisition unit performs correlation analysis on the lens strain parameters and optical path difference data. In the process of establishing the photoelastic stress calculation matrix, 25 strain characteristic points are selected to establish the stress-strain mapping relationship.

[0076] During deep space exploration missions, lens materials are subjected to extremely low temperature environments. Within the temperature range of -200°C to -20°C, a set of lens material refractive index data is collected every 5°C.

[0077] When the transmittance measurement unit collects data, the wavelength of the incident light ranges from 380 to 780 nanometers, and the measured light intensity attenuation coefficient varies from 0.001 to 0.1;

[0078] The ray tracing algorithm uses the Monte Carlo method to trace 50,000 rays and establish a numerical fitting model for the relationship between birefringence characteristic parameters and temperature;

[0079] The temperature sensor array is arranged on the lens surface to form a 16×16 dot matrix, with a sampling interval of 2 mm and a temperature measurement accuracy of 0.1 degrees;

[0080] The temperature field data is processed by bilinear interpolation method to generate a 400×400 point temperature distribution surface;

[0081] When establishing the coupling relationship between the temperature field and the stress field in the stress-strain analysis unit, the stress optical coefficient measurement range is 0 to 100 Bru, and a set of birefringence change values ​​is recorded every 0.1 Bru;

[0082] The photoelastic stress analysis unit uses the phase delay method to obtain the stress distribution cloud map, with a measurement range of 0 to 10 wavelengths and a measurement accuracy of 0.01 wavelength;

[0083] In the process of compensating for the birefringence effect of the material, a 25×25 compensation coefficient matrix is ​​established, and the coefficient range is 0.8 to 1.2;

[0084] Finally, a birefringence characteristic parameter curve under temperature-stress coupling is generated, and the curve fitting accuracy is better than 0.1%, providing important parameter support for the design of deep space exploration lighting lens systems.

[0085] Furthermore, in this embodiment, step S2 specifically includes:

[0086] Based on the change curve, the temperature and birefringence difference mapping relationship data are generated, and the optical path difference accumulation data is calculated by the ray tracing unit;

[0087] Decompose the three-dimensional polarization vector coordinates of the incident light into polarization states, and obtain the polarization direction angle and polarization degree data of the incident light through the polarization degree measurement unit;

[0088] A matrix is ​​established based on the incident light polarization state data and the birefringence difference data, and the phase delay of the transmitted light is calculated by matrix multiplication;

[0089] The coupling relationship between the temperature field and birefringence parameters is established based on the temperature variation curve of the polarization degree of the transmitted light. The stress-induced birefringence value is obtained through photoelastic stress calculation, and the variation law of the polarization state of the transmitted light beam with the polarization state of the incident light and the birefringence parameters of the lens material is obtained.

[0090] Specifically, based on the change curve of the birefringence characteristic parameters of the lens material, a temperature and birefringence difference mapping relationship data set is generated in the optical simulation platform, and the optical path difference accumulation is calculated by the ray tracing unit to determine the characteristic parameters of the birefringence difference changing with temperature;

[0091] The three-dimensional polarization vector coordinates of the incident light are established in the polarization state decomposition module, the horizontal polarization component and the vertical polarization component are calculated, and the normalized light intensity distribution is obtained through the polarization degree measurement unit to obtain the polarization state direction angle and polarization degree data of the incident light;

[0092] Based on the incident light polarization state data and birefringence difference data, a Jones matrix is ​​established in the polarization state evolution unit, and the phase delay of the transmitted light is calculated using matrix multiplication to obtain a data set of the polarization state of the transmitted light changing with the incident polarization state.

[0093] The polarization state data of the transmitted light is decomposed in the polarization state analysis unit to obtain the light intensity ratio of the horizontal polarization component to the vertical polarization component. The extinction ratio of the transmitted light is calculated based on the light intensity ratio to obtain the curve of the polarization degree of the transmitted light versus temperature.

[0094] Based on the temperature-dependent curve of the polarization degree of the transmitted light, a coupling relationship between the temperature field and the birefringence parameters is established in the birefringence effect analysis unit. The stress-induced birefringence value is obtained through photoelastic stress calculation, and the law of the polarization state of the transmitted light changing with the birefringence parameters is obtained.

[0095] The polarization state conversion law of the transmitted light is quantified in the polarization state conversion matrix unit. The polarization state conversion matrix elements are obtained through Stokes parameter calculation, and the data on the change law of the polarization state of the transmitted light beam with the polarization state of the incident light and the birefringence parameters of the lens material are obtained.

[0096] The lens material will produce birefringence effect under different temperature conditions, causing refractive index anisotropy, in which the birefringence difference, that is, the difference between the fast axis and the slow axis refractive index, changes with temperature;

[0097] Here is an example:

[0098] In the optical simulation platform, the temperature range is set between -200°C and -20°C, and the corresponding birefringence difference ranges from 0.0001 to 0.001. The accumulated optical path difference obtained by ray tracing calculation varies between 0 and 10 wavelengths.

[0099] The polarization state of the incident light can be described by a three-dimensional polarization vector. The amplitude ratio of the horizontal polarization component to the vertical polarization component determines the polarization direction angle. The polarization state decomposition module decomposes the incident light into polarization angles. The direction angle measurement range is 0 to 180 degrees, and the polarization degree measurement range is 0 to 1.

[0100] When the incident light is linearly polarized, the degree of polarization is 1;

[0101] When the incident light is circularly polarized, the polarization degree is 0;

[0102] The closer the degree of polarization is to 1, the purer the polarization state is;

[0103] The phase delay of the transmitted light is proportional to the product of the material's birefringence difference and the optical path difference. When the temperature is -100 degrees Celsius, the birefringence difference is 0.0005, the optical path difference is 5 wavelengths, and the corresponding phase delay is 10π.

[0104] The polarization state of the transmitted light can be obtained by calculating the Jones matrix. When the polarization direction angle of the incident light is 45 degrees, the polarization state of the transmitted light changes periodically with the phase delay. When the phase delay is 0, the linear polarization state is maintained, and when the phase delay is π / 2, the circular polarization state is changed.

[0105] The intensity ratio of the horizontal polarization component to the vertical polarization component of the transmitted light reflects the extinction ratio of the transmitted light. A larger extinction ratio indicates a purer polarization state.

[0106] At a temperature of -150 degrees Celsius, the birefringence difference of the material is 0.0008, the extinction ratio of the transmitted light reaches 100:1, and the corresponding polarization degree is 0.98;

[0107] The stress-induced birefringence obtained by photoelastic stress calculation varies from 0.0002 to 0.0005;

[0108] Stokes parameters are used to describe the polarization state of polarized light. They include four components: total light intensity, linear polarization degree, linear polarization direction, and circular polarization degree.

[0109] In the polarization state conversion matrix, the matrix elements reflect the conversion relationship from the polarization state of the incident light to the polarization state of the transmitted light;

[0110] When the temperature rises from -200 degrees Celsius to -20 degrees Celsius, the elements of the polarization state conversion matrix of the transmitted light show nonlinear changes, which is closely related to the temperature dependence of the material's birefringence difference.

[0111] By analyzing the elements of the conversion matrix, the change law of the polarization state of the transmitted light at different temperatures can be predicted.

[0112] Furthermore, in this embodiment, step S3 specifically includes:

[0113] According to the changing rules, the lens unit polarization state transfer matrix is ​​used to numerically fit the optical axis orientation of each lens and the transmission polarization state conversion parameters to obtain the optimized value of the initial optical axis orientation;

[0114] According to the initial optical axis orientation optimization value, the lens coating thickness parameters are iteratively optimized through interface reflection phase delay coupling calculation to obtain the coating thickness distribution data;

[0115] According to the coating layer thickness distribution data, the polarization state conversion parameters of adjacent lens interfaces are matched and optimized by the polarization state conversion compensation method to obtain the polarization matching compensation data of the lens group;

[0116] Based on the polarization matching compensation data of the lens group, the birefringence parameters of the lens material and the coating scheme are comprehensively optimized through the layer-by-layer optical path difference accumulation calculation to obtain the polarization state stabilization data of the transmitted light beam;

[0117] Specifically, according to the variation law of the polarization state of the transmitted light beam, the birefringence parameters of the lens material are scanned and iterated in the optical optimization unit. The optical axis orientation of each lens and the transmission polarization state conversion parameters are numerically fitted through the polarization state transfer matrix of the lens unit to obtain the initial optical axis orientation optimization value.

[0118] Based on the initial optical axis orientation optimization value, a dielectric multilayer film polarization state conversion matrix is ​​constructed in the coating optimization unit. The lens coating layer thickness parameters are iteratively optimized through interface reflection phase delay coupling calculation to obtain the coating layer thickness distribution data.

[0119] Based on the coating layer thickness distribution data, the polarization state conversion characteristics of each lens interface are calculated in the polarization state matching unit. The polarization state conversion parameters of adjacent lens interfaces are matched and optimized using the polarization state conversion compensation algorithm to obtain the polarization matching compensation data of the lens group.

[0120] Based on the polarization matching compensation data of the lens group, a depolarization structure parameter matrix is ​​established in the depolarizer optimization unit. The residual polarization state change is suppressed through phase delay compensation calculation to obtain the depolarizer structure parameter distribution data.

[0121] Based on the depolarizer structural parameter distribution data, a light intensity propagation loss matrix is ​​established in the optical path difference calculation unit. The lens material birefringence parameters and coating scheme are comprehensively optimized through layer-by-layer optical path difference accumulation calculation to obtain the polarization state stabilization data of the transmitted light beam.

[0122] Based on the polarization state stabilization data of the transmitted light beam, a polarization state stability index system is established in the comprehensive evaluation unit. The overall polarization state characteristics of the lens system are evaluated by calculating the uniformity of the light intensity distribution, and the polarization state optimization parameter set of the lens system is obtained.

[0123] Here is an example:

[0124] In deep space, lens materials will produce stress birefringence due to temperature changes, causing the polarization state of the lens system to change;

[0125] When scanning the material birefringence parameters, the orientation angle range is iterated in 1-degree intervals within the range of 0 to 180 degrees, and the initial optical axis orientation optimization value of each lens unit is obtained by calculating the polarization state transfer matrix;

[0126] When the optical axis orientation angle is 45 degrees, the birefringence effect is most significant, and the change in the polarization state of the transmitted light reaches its maximum value.

[0127] The lens coating layer is designed with a dielectric multilayer structure. The film layer material is made of dielectric materials with alternating high and low refractive indices. The interface reflection phase delay is controlled by adjusting the thickness of each film layer.

[0128] The coating layer thickness distribution ranges from 50 to 300 nanometers, and the refractive index difference between adjacent layers is between 0.5 and 1.0;

[0129] When the incident light wavelength is 550 nanometers, the interface reflection phase delay variation is controlled within π / 4 through the optimized design of 15 dielectric films.

[0130] During the polarization state matching optimization process of adjacent lens interfaces, the polarization state conversion compensation algorithm is used to calculate the polarization degree of the transmitted light;

[0131] When the incident light is linearly polarized, the polarization degree decreases from 1 to 0.95 after passing through the first lens interface. After polarization state matching compensation, the polarization degree of the transmitted light can be increased to 0.98.

[0132] The compensation parameters include interface azimuth and ellipsometric. The azimuth adjustment range is 0 to 90 degrees, and the ellipsometric adjustment range is 0 to 1.

[0133] The depolarizer adopts a zero-order wave plate structure composed of a birefringent crystal, and the residual polarization state is suppressed by adjusting the crystal optical axis direction and thickness;

[0134] The crystal thickness is in the range of 0.1 to 1 mm, and the angle between the optical axis direction and the incident light is in the range of 0 to 90 degrees. When the residual polarization degree is 0.1, it can be reduced to below 0.01 after the depolarizer treatment;

[0135] When the optical path difference is accumulated, the birefringence of the lens material and the coating layer are considered together, and the optical path difference is in the range of 0 to 10 wavelengths;

[0136] When the temperature changes from -200 degrees to -20 degrees, the change in optical path difference caused by the birefringence of the material is about 2 wavelengths, and the change in phase delay caused by the coating layer is about 0.5 wavelengths. Through comprehensive optimization, the total optical path difference change can be controlled within 1 wavelength;

[0137] The polarization state stability evaluation adopts two indexes of polarization degree uniformity and direction angle consistency. The polarization degree uniformity represents the spatial distribution change of the transmitted light polarization degree, and the direction angle consistency represents the spatial distribution change of the polarization state orientation;

[0138] After optimization, the polarization degree uniformity of the lens system is better than 90% in the entire field of view, and the direction angle consistency is better than 95%, which meets the deep space exploration lighting requirements.

[0139] Further, in the embodiment, step S4 specifically includes:

[0140] Obtain the light intensity values of each lens unit collected by the photodetector array, and establish a mapping relationship database between the liquid crystal device transmittance and the driving voltage;

[0141] According to the mapping relationship database, the orientation angle is numerically solved by using the correlation calculation of the liquid crystal molecule arrangement direction and the transmittance, and the initial modulation data of the transmittance is obtained;

[0142] The initial modulation data of the transmittance is corrected for the response time of the liquid crystal device, and the transmittance modulation data after temperature correction is obtained;

[0143] According to the transmittance modulation data after temperature correction, the transmittance between adjacent lens units is dynamically matched by using a collaborative optimization algorithm, and the light intensity distribution collaborative control data is obtained;

[0144] Specifically, according to the initial parameters of the liquid crystal variable transmittance device in the lens system, real-time light intensity distribution data is collected in the light intensity detection unit, the light intensity values of each lens unit are obtained by the photodetector array, and a mapping relationship database between the liquid crystal device transmittance and the driving voltage is established by using a neural network algorithm;

[0145] Based on the driving voltage mapping relationship data, a liquid crystal molecule orientation angle calculation function is established in the liquid crystal orientation control unit. The orientation angle is numerically solved by correlating the liquid crystal molecule arrangement direction with the transmittance, and the initial modulation data of the transmittance of each lens unit is obtained.

[0146] Based on the initial transmittance modulation data, the temperature response parameters of the liquid crystal device are collected in the response characteristic measurement unit, and the response time of the liquid crystal device is corrected by a temperature compensation algorithm to obtain the transmittance modulation data after temperature correction;

[0147] Based on the temperature-corrected transmittance modulation data, a light intensity compensation function for each lens unit is constructed in the energy distribution control unit. The transmittance between adjacent lens units is dynamically matched through a collaborative optimization algorithm to obtain the light intensity distribution collaborative control data.

[0148] Based on the light intensity distribution collaborative control data, a transmittance closed-loop control function is established in the real-time feedback unit. The transmittance is dynamically compensated by adjusting the driving voltage in real time to obtain the real-time transmittance adjustment data of each lens unit.

[0149] According to the real-time transmittance adjustment data, the ideal light intensity distribution objective function is established in the light intensity distribution optimization unit. The actual light intensity distribution is matched with the ideal distribution through the minimum mean square error algorithm to obtain the final transmittance optimization parameter group.

[0150] Here is an example:

[0151] Liquid crystal variable transmittance devices change light transmission properties by regulating the orientation of liquid crystal molecules through voltage, and play a key role in deep space exploration lighting systems.

[0152] The photodetector array consists of 16×16 detection units, each of which has a light intensity detection range of 0 to 1000 candela per square meter and a sampling frequency of 100 Hz;

[0153] The neural network algorithm uses a three-layer network structure. The input layer contains two parameters: driving voltage and temperature. The hidden layer contains 16 neurons. The output layer is the transmittance parameter.

[0154] There is a nonlinear relationship between the orientation angle of liquid crystal molecules and transmittance. When the orientation angle changes from 0 to 90 degrees, the transmittance changes in a sine-square relationship.

[0155] When the driving voltage is adjusted within the range of 0 to 10 volts, the liquid crystal molecules begin to deflect from their initial vertical orientation, and significant changes begin to occur when the voltage reaches 1.5 volts, reaching the maximum deflection angle at 5 volts.

[0156] The transmittance modulation depth is continuously adjustable from 0 to 90%. The response characteristics of the liquid crystal device are significantly affected by temperature. At -100 degrees Celsius, the opening response time is 100 milliseconds and the closing response time is 80 milliseconds.

[0157] For every 10 degrees Celsius increase in temperature, the response time is shortened by 20%. Through the temperature compensation algorithm, the response time fluctuation is controlled within 30% within the actual operating temperature range;

[0158] The transmittance modulation accuracy after temperature compensation is better than 2%. The transmittance between adjacent lens units needs to be coordinated to ensure uniform light intensity distribution;

[0159] The collaborative optimization algorithm uses the difference in transmittance between adjacent units as a constraint, with a threshold of 10%. When the transmittance of a lens unit changes, the transmittance of adjacent units is adjusted synchronously to maintain a smooth transition of the overall light intensity distribution.

[0160] The coordinated control of light intensity distribution ensures that the light intensity gradient in the edge transition area is less than 20%. The transmittance closed-loop control uses a real-time feedback mechanism with a control cycle of 10 milliseconds and a drive voltage adjustment step of 0.1 volt. The adjustment direction and amplitude are determined by comparing the deviation between the current transmittance and the target transmittance. The closed-loop control improves the transmittance stability to within 0.5%.

[0161] The ideal light intensity distribution is described by a Gaussian function, with a central light intensity of 1000 candelas per square meter and an edge light intensity of 10% of the central light intensity.

[0162] The minimum mean square error algorithm is used to fit the actual light intensity distribution with the ideal distribution, and the optimal transmittance parameters of each lens unit are obtained through iterative calculation;

[0163] The root mean square error between the optimized actual light intensity distribution and the ideal distribution is less than 5%, meeting the lighting requirements for deep space exploration.

[0164] Furthermore, in this embodiment, step S5 specifically includes:

[0165] Obtain light intensity distribution data, pre-process the light intensity distribution data through normalization, and obtain a transmittance mapping relationship database using data stratified sampling;

[0166] A three-layer neural network structure is constructed based on the transmittance mapping relationship database, and the network parameters are optimized through the back propagation algorithm to obtain the trained network parameters;

[0167] The lens group transmittance loss function is established for the trained network parameters, and the transmittance loss function is iteratively calculated using the gradient descent method to obtain the transmittance parameters after combined optimization;

[0168] A light intensity distribution similarity evaluation function is established based on the combined optimized transmittance parameters, and the matching verification result between the transmittance combination and the target light intensity distribution is obtained by calculating the Pearson correlation coefficient.

[0169] Generate the driving voltage parameters and operating temperature parameters of each lens unit based on the matching verification results, establish a parameter combination dynamic adjustment function, and obtain the optimal operating parameter combination database;

[0170] Specifically, based on historical ideal illumination light intensity distribution data, the light intensity distribution data is normalized in a data preprocessing unit, and feature extraction of the variable transmittance value of the lens unit liquid crystal is performed through data stratified sampling. A deep neural network is used to establish a mapping relationship database between light intensity distribution and transmittance.

[0171] According to the mapping relationship database, a three-layer neural network structure is constructed in the neural network training unit. The network weights and biases are optimized and calculated through the back propagation algorithm, and the trained network parameters are cross-validated.

[0172] According to the trained network parameters, a lens group transmittance loss function is established in the transmittance optimization unit. The combined transmittance of the lens unit liquid crystal is optimized by the gradient descent method, and the combined transmittance is iteratively optimized using the minimum mean square error criterion.

[0173] Based on the combined transmittance after iterative optimization, a light intensity distribution similarity evaluation function is established in the matching calculation unit, and the matching degree between the transmittance combination and the target light intensity distribution is verified by calculating the Pearson correlation coefficient;

[0174] Based on the matching verification results, the operating parameter curve of the liquid crystal device is constructed in the parameter mapping unit, and the driving voltage parameters and operating temperature parameters of each lens unit are generated by the lookup table method;

[0175] According to the driving voltage parameters and the working temperature parameters, a parameter combination dynamic adjustment function is established in the real-time update unit. The working parameters are optimized in real time through the adaptive control algorithm to obtain the optimal working parameter combination database;

[0176] Here is an example:

[0177] The historical ideal lighting intensity distribution data includes multiple sets of light intensity distribution data for different lighting scenes. During the data preprocessing stage, the light intensity values ​​are normalized from 0 to 1.

[0178] The lens units are arranged in a 4×4 array, and the liquid crystal variable transmittance corresponding to each lens unit is continuously adjustable within the range of 10% to 90%;

[0179] Data stratified sampling divides the data into three layers: central area, transition area and edge area according to the light intensity distribution characteristics. The proportion of each layer of data in the total sample volume is 25%, 50% and 25% respectively.

[0180] The neural network adopts a three-layer structure. The input layer contains 16 nodes corresponding to the light intensity distribution data of 16 lens units, the hidden layer uses 32 nodes, and the output layer contains 16 nodes corresponding to the transmittance values ​​of the lens units.

[0181] The training data set contains 1000 sets of historical data, of which 800 sets are used for training and 200 sets are used for validation;

[0182] The back-propagation algorithm uses the batch gradient descent method, the learning rate is set to 0.01, and the number of training iterations is 1000;

[0183] The lens group transmittance loss function adopts the mean square error form to calculate the difference between the predicted transmittance and the target transmittance;

[0184] During the gradient descent optimization process, the step size of the transmittance is adjusted to 0.001 for each iteration, and the iteration is stopped when the change in the loss function is less than 0.0001 for 5 consecutive iterations;

[0185] The minimum mean square error criterion requires that the mean square error between the optimized transmittance combination and the target transmittance be less than 0.01;

[0186] The matching degree verification uses the Pearson correlation coefficient to evaluate the similarity between the transmittance combination and the target light intensity distribution, and the correlation coefficient threshold is set to 0.95;

[0187] When the correlation coefficient is greater than the threshold, it is considered that the current transmittance combination meets the target light intensity distribution requirements;

[0188] The operating parameter curve of the liquid crystal device includes the mapping relationship between driving voltage and transmittance. The voltage range is 0 to 10 volts, and a set of transmittance data is recorded every 0.1 volt.

[0189] The operating temperature parameters are closely related to the response characteristics of the liquid crystal device. The temperature range is from -100 degrees Celsius to -20 degrees Celsius, and a set of response time data is recorded every 5 degrees.

[0190] The adaptive control algorithm compensates the drive voltage based on real-time temperature feedback. The compensation coefficient changes linearly with temperature, and the compensation coefficient changes by 0.1 for every 10-degree temperature change.

[0191] The optimal operating parameter combination database contains driving voltage compensation values ​​under different temperature conditions, and the transmittance control accuracy after compensation is better than 1%.

[0192] Furthermore, in this embodiment, step S6 specifically includes:

[0193] Collecting temperature distribution data of the lens material temperature sensor array, calculating the temperature difference between adjacent moments based on the temperature distribution data, and obtaining the birefringence difference variation;

[0194] A refractive index anisotropy matrix is ​​established according to the change in the birefringence difference, and the optical path difference accumulation calculation is performed through the refractive index anisotropy matrix to obtain the change value of the optical characteristics;

[0195] According to the polarization degree and polarization direction data of the transmitted light, the polarization state change is calculated by Stokes parameter, and it is determined whether the polarization state change exceeds a preset threshold;

[0196] If the polarization state change exceeds a preset threshold, the transmitted light is phase-delayed modulated by the wave plate array, and the photodetector is used to calculate the unevenness of the transmitted light intensity distribution after compensation to obtain the characteristic value of the light intensity distribution change;

[0197] Specifically, based on the real-time temperature distribution data collected by the lens material temperature sensor array, the temperature difference at adjacent moments is numerically calculated in the temperature change calculation unit, and the change in the material birefringence difference is tracked in real time through the temperature birefringence characteristic curve;

[0198] According to the change in birefringence difference, a refractive index anisotropy matrix is ​​established in the optical property calculation unit. The optical stress optical effect of the material is evaluated in real time through the accumulation calculation of the optical path difference to obtain the change value of the optical property of the lens material.

[0199] Based on the change in optical properties, the polarization degree and polarization direction data of the transmitted light are collected in the polarization detection unit. The polarization state change is monitored in real time through Stokes parameter calculation to determine whether the polarization state change exceeds the set threshold.

[0200] If the polarization state change exceeds the threshold, the quarter-wave plate array is activated in the polarization compensation unit to dynamically compensate the polarization state of the transmitted light through phase delay modulation to obtain the compensated polarization state parameters;

[0201] According to the compensated polarization state parameters, an energy distribution measurement array is established in the light intensity distribution detection unit. The non-uniformity of the transmitted light intensity distribution is calculated in real time by the photoelectric detector to obtain the characteristic value of the light intensity distribution change.

[0202] Based on the characteristic quantity of light intensity distribution change, a genetic algorithm is used in the compensation optimization unit to dynamically optimize the parameters of the quarter-wave plate array, and the polarization state compensation and light intensity distribution compensation are coordinated optimized through closed-loop feedback control.

[0203] Here is an example:

[0204] The lens material is subjected to extreme temperature changes in the deep space exploration environment. The temperature sensor array consists of 16×16 temperature sensors with a sampling frequency of 10 Hz and a measurement accuracy of 0.1 degrees Celsius.

[0205] When the temperature changes from -100 degrees to -50 degrees, the temperature difference between adjacent sampling moments can reach up to 0.5 degrees. This temperature change will cause the birefringence difference of the material to change;

[0206] The temperature sensitivity of the birefringence difference is 0.0001 degrees Celsius, and the change in the birefringence difference can be calculated in real time through the temperature birefringence characteristic curve;

[0207] The refractive index anisotropy of the material is manifested as different refractive indices between the fast axis and the slow axis. The optical properties of the material are described by a 3×3 matrix.

[0208] When temperature changes cause stress-optical effects, the optical path difference accumulates along the optical path, which can produce a phase delay of 2 wavelengths in a 10 mm thick lens material;

[0209] The stress-optical effect causes the polarization state of the transmitted light to change, and the polarization state change needs to be monitored in real time;

[0210] The polarization detection unit uses a polarization state analyzer to measure the polarization degree and polarization direction of the transmitted light with a sampling frequency of 100 Hz;

[0211] The Stokes parameters contain four components, which respectively characterize the total light intensity, linear polarization degree, linear polarization direction and circular polarization degree;

[0212] When the polarization state change exceeds the set threshold, the polarization degree changes by more than 0.1, or the polarization direction changes by more than 5 degrees, the compensation mechanism is triggered;

[0213] The quarter-wave plate array consists of 16×16 modulatable wave plates, and the phase delay of each wave plate is continuously adjustable from 0 to half a wavelength;

[0214] By adjusting the optical axis direction and phase delay of the wave plate, the polarization state of the transmitted light can be accurately compensated;

[0215] The compensated polarization state parameters are monitored in real time by a polarization analyzer, and the compensation accuracy is better than 0.01;

[0216] The photodetector array measures the intensity distribution of the transmitted light. The detector array size is 400 × 400 microns and the responsivity is 0.5 amperes per watt.

[0217] The unevenness calculation uses the ratio of maximum light intensity to minimum light intensity, and the unevenness is required to be less than 1.2. The characteristic quantity of light intensity distribution change includes three parameters: central light intensity, edge light intensity ratio and spot half width;

[0218] During the genetic algorithm optimization process, the population size was set to 100 and the number of iterations was 50 generations;

[0219] The optimization objective function comprehensively considers the two indicators of polarization state compensation error and light intensity distribution unevenness, with a weight ratio of 3:1;

[0220] The closed-loop feedback control cycle is 10 milliseconds, and the compensation parameters are updated once every control cycle;

[0221] Through collaborative optimization, the compensated transmitted light beam can simultaneously meet the requirements of polarization state stability and light intensity uniformity.

[0222] Furthermore, in this embodiment, step S7 specifically includes:

[0223] Acquire the real-time parameters collected by the temperature sensor, polarization state sensor, and light intensity sensor, and obtain a standardized parameter matrix through normalization processing based on the real-time parameters;

[0224] The parameter coupling eigenvector is extracted from the standardized parameter matrix, and the control response time index calculation function is established based on the parameter coupling eigenvector. The quantitative index value is obtained through fuzzy membership calculation, and the hierarchical analysis method is used to determine the weight coefficient from the quantitative index value.

[0225] An adaptive update function of the controller parameters is constructed based on the weight coefficients, and the controller parameters are corrected in real time through error feedback calculation to obtain an adaptive optimization parameter group;

[0226] Specifically, based on the real-time parameters collected by the temperature sensor, polarization state sensor, and light intensity sensor of the deep space exploration lighting lens system, the temperature field distribution, polarization state change, and light intensity distribution are normalized in the data processing unit to obtain a standardized parameter matrix;

[0227] Based on the standardized parameter matrix, a deep neural network is used in the feature extraction unit to perform correlation analysis on three groups of parameters: temperature, polarization state, and light intensity. The coupling characteristics between each group of parameters are extracted through convolution operation to obtain the parameter coupling feature vector.

[0228] According to the parameter coupling characteristic vector, the control response time index, adjustment accuracy index and stability index calculation function are established in the evaluation index calculation unit. The quantitative value of each index is obtained by fuzzy membership calculation, and the index weight coefficient is determined by the hierarchical analysis method.

[0229] According to the index weight coefficient, the optimization function of the feedback controller gain parameter, integral time parameter and differential time parameter is established in the control parameter optimization unit. The controller parameters are iteratively optimized by the gradient descent method to obtain the controller parameter optimization data;

[0230] According to the controller parameter optimization data, a control response characteristic curve is established in the response characteristic optimization unit, and the response characteristic curve is fitted and calculated by the least square method to obtain the controller dynamic response parameters;

[0231] According to the dynamic response parameters of the controller, a controller parameter adaptive update function is constructed in the adaptive adjustment unit. The controller parameters are corrected in real time through error feedback calculation to obtain the adaptively optimized controller parameter group.

[0232] Here is an example:

[0233] Parameter monitoring of deep space exploration lighting lens systems involves three dimensions: temperature field, polarization state, and light intensity distribution;

[0234] The temperature sensor has a sampling frequency of 100 Hz, a measurement range of -200°C to -20°C, and a resolution of 0.1°C.

[0235] The polarization state sensor measures the degree of polarization and polarization direction with a sampling frequency of 1000 Hz, a degree of polarization resolution of 0.001, and a polarization direction angular resolution of 0.1 degrees;

[0236] The light intensity sensor has a sampling frequency of 500 Hz and a dynamic range of 0 to 1000 candela per square meter;

[0237] Data normalization maps parameters of different dimensions to the range of 0 to 1 for easy subsequent processing;

[0238] The deep neural network adopts a 5-layer structure. The input layer contains 16×16 nodes for temperature field, 2 nodes for polarization state, and 16×16 nodes for light intensity distribution.

[0239] The coupling features between parameters are extracted through three convolutional layers with kernel sizes of 5×5, 3×3, and 3×3, respectively. Finally, a 128-dimensional feature vector is obtained to represent the correlation between the parameters.

[0240] The control performance evaluation uses three indicators: the response time indicator requires the step response time to be less than 100 milliseconds, the regulation accuracy indicator requires the steady-state error to be less than 1%, and the stability indicator requires the overshoot to be less than 5%;

[0241] The fuzzy membership function maps each indicator to the interval from 0 to 1, and uses five fuzzy subsets to describe the degree of excellence of the indicator;

[0242] The weight coefficients determined by the analytic hierarchy process are 0.4, 0.4, and 0.2, respectively. The feedback controller adopts a PID structure with a gain parameter range of 0.1 to 10, an integral time parameter range of 0.01 to 1 second, and a derivative time parameter range of 0.001 to 0.1 second.

[0243] The learning rate of the gradient descent method was set to 0.01, and the optimization was stopped when the parameter change was less than 0.001 for 5 consecutive iterations;

[0244] The controller parameters finally obtained can make the system response characteristics meet the index requirements. The response characteristic curve is described by a second-order system model, which includes two characteristic parameters: natural frequency and damping ratio.

[0245] The natural frequency obtained by least squares fitting is in the range of 10 to 100 Hz, and the damping ratio is in the range of 0.6 to 0.8. These parameters reflect the dynamic response characteristics of the system;

[0246] Adaptive regulation uses an error feedback mechanism with a control period of 1 millisecond. When the system error exceeds the set threshold, the controller parameters are updated through the adaptive law;

[0247] The adaptive gain is set to 0.1 to ensure smooth convergence of parameter adjustment. The controller parameters after adaptive optimization can adapt to the dynamic changes of system characteristics and maintain good control performance.

[0248] In the description of the present invention, it should be understood that the directions or positional relationships indicated by directional words such as "front, back, up, down, left, right", "horizontal, vertical, horizontal" and "top, bottom" are usually based on the directions or positional relationships shown in the accompanying drawings. They are only for the convenience of describing the present invention and simplifying the description. Unless otherwise specified, these directional words do not indicate or imply that the device or element referred to must have a specific direction or be constructed and operated in a specific direction. Therefore, they cannot be understood as limiting the scope of protection of the present invention.

[0249] Those skilled in the art can make various other corresponding changes and deformations based on the technical solutions and concepts described above, and all of these changes and deformations should fall within the scope of protection of the claims of the present invention.

Claims

1. A method for processing optical data of a deep space exploration lighting fixture, characterized in that: The following steps are involved: S1. Obtain the working environment parameters of the deep space exploration lighting lens system and the stress-light effect test data of the lens material under different extremely low temperature conditions, and obtain the change curve of the material birefringence characteristic parameters at different temperatures; S2. Based on the change curve, simulate and calculate the change of the polarization state of the incident light beam with different polarization states after passing through the birefringent lens, and obtain the change law of the polarization state of the transmitted light beam with the polarization state of the incident light and the birefringence parameters of the lens material; S3. Based on the above mentioned variation patterns, the lens material and coating scheme of the deep space exploration lighting lens system are optimized, and a depolarizing device is introduced to offset some of the residual polarization state changes of the transmitted light beam. S4. Installing a liquid crystal variable transmittance device on each lens unit of the deep space exploration lighting lens system to adjust the transmittance of each lens unit in real time to obtain an actual light intensity distribution that is closest to the ideal illumination light intensity distribution; S5. Using a neural network algorithm to train historical ideal illumination light intensity distribution data, and based on the transmittance value required for each lens unit under the target light intensity distribution, calculate the optimal operating parameter combination of the liquid crystal variable transmittance device of each lens unit under any given illumination light intensity distribution target; S6. Real-time monitoring of the ambient temperature of the lens material, and when the temperature change causes the birefringence characteristics of the material to change, monitoring the change in the polarization state of the transmitted light beam of the deep space exploration lighting lens system; S7. Continuously monitor the working process of deep space exploration lighting and collect the temperature, polarization state and light intensity distribution of the lens system to dynamically optimize the adjustment accuracy and response speed.

2. The optical data processing method of the deep space exploration lighting according to claim 1, characterized in that: The step S1 specifically includes: Acquire optical path difference data and stress distribution data from a deep space exploration lighting lens system, and collect stress distribution change characteristic parameters using an optical sensor based on the stress distribution data; According to the stress distribution change characteristic parameters, three sets of strain characteristic quantities, namely displacement, shear strain and volume strain, are collected by strain sensors to establish a photoelastic stress calculation matrix; For the photoelastic stress calculation matrix, a refractive index curve of the lens material is obtained from an optical property measuring instrument, and a numerical fitting model is established for the birefringence characteristic parameters of the material according to the refractive index curve; According to the numerical fitting model, temperature field data is collected from the temperature sensor array, the birefringence change value is calculated based on the temperature field data, and the birefringence characteristic parameters are compensated and corrected to generate the change curve of the material birefringence characteristic parameters at different temperatures.

3. The optical data processing method of the deep space exploration lighting according to claim 1, characterized in that: The step S2 specifically includes: Based on the change curve, temperature and birefringence difference mapping relationship data are generated, and optical path difference accumulation data is calculated by a ray tracing unit; Decompose the three-dimensional polarization vector coordinates of the incident light into polarization states, and obtain the polarization direction angle and polarization degree data of the incident light through the polarization degree measurement unit; A matrix is ​​established based on the incident light polarization state data and the birefringence difference data, and the phase delay of the transmitted light is calculated by matrix multiplication; The coupling relationship between the temperature field and birefringence parameters is established based on the temperature variation curve of the polarization degree of the transmitted light. The stress-induced birefringence value is obtained through photoelastic stress calculation, and the variation law of the polarization state of the transmitted light beam with the polarization state of the incident light and the birefringence parameters of the lens material is obtained.

4. The optical data processing method of the deep space exploration lighting according to claim 1, characterized in that: The step S3 specifically includes: According to the variation rule, the lens unit polarization state transfer matrix is ​​used to perform numerical fitting on the optical axis orientation of each lens and the transmission polarization state conversion parameter to obtain the optimized value of the initial optical axis orientation; According to the initial optical axis orientation optimization value, the lens coating layer thickness parameters are iteratively optimized by interface reflection phase delay coupling calculation to obtain coating layer thickness distribution data; According to the coating layer thickness distribution data, polarization state conversion parameters of adjacent lens interfaces are matched and optimized by a polarization state conversion compensation method to obtain polarization matching compensation data of the lens group; According to the polarization matching compensation data of the lens group, the birefringence parameters of the lens material and the coating scheme are comprehensively optimized through layer-by-layer optical path difference accumulation calculation to obtain the polarization state stabilization data of the transmitted light beam.

5. The optical data processing method of the deep space exploration lighting according to claim 1, characterized in that: The step S4 specifically includes: Obtain the light intensity value of each lens unit collected by the photodetector array and establish a database of mapping relationship between liquid crystal device transmittance and driving voltage; According to the mapping relationship database, the orientation angle is numerically solved by using the correlation calculation between the arrangement direction of the liquid crystal molecules and the transmittance to obtain the initial modulation data of the transmittance; Correcting the response time of the liquid crystal device for the initial transmittance modulation data to obtain temperature-corrected transmittance modulation data; According to the temperature-corrected transmittance modulation data, a collaborative optimization algorithm is used to dynamically match the transmittances between adjacent lens units to obtain light intensity distribution collaborative control data.

6. The optical data processing method of the deep space exploration lighting according to claim 1, characterized in that: The step S5 specifically includes: Acquiring light intensity distribution data, preprocessing the light intensity distribution data through normalization, and obtaining a transmittance mapping relationship database using data stratified sampling; Constructing a three-layer neural network structure based on the transmittance mapping relationship database, optimizing the network parameters through a back propagation algorithm to obtain trained network parameters; Establishing a lens group transmittance loss function for the trained network parameters, and iteratively calculating the transmittance loss function using a gradient descent method to obtain transmittance parameters after combined optimization; A light intensity distribution similarity evaluation function is established based on the transmittance parameters after the combination optimization, and a matching verification result between the transmittance combination and the target light intensity distribution is obtained by calculating the Pearson correlation coefficient; The driving voltage parameters and operating temperature parameters of each lens unit are generated according to the matching verification results, and a parameter combination dynamic adjustment function is established to obtain the optimal operating parameter combination database.

7. The optical data processing method of the deep space exploration lighting according to claim 1, characterized in that: The step S6 specifically includes: Collecting temperature distribution data of a lens material temperature sensor array, and calculating temperature differences at adjacent moments based on the temperature distribution data to obtain a change in birefringence difference; Establishing a refractive index anisotropy matrix according to the birefringence difference variation, and performing optical path difference accumulation calculation using the refractive index anisotropy matrix to obtain a value of optical property variation; According to the polarization degree and polarization direction data of the transmitted light, a polarization state change is obtained by Stokes parameter calculation, and it is determined whether the polarization state change exceeds a preset threshold; If the polarization state change exceeds a preset threshold, the transmitted light is phase-delayed modulated by a wave plate array, and the photoelectric detector is used to calculate the unevenness of the transmitted light intensity distribution after compensation to obtain a characteristic value of the light intensity distribution change.

8. The optical data processing method of the deep space exploration lighting according to claim 1, characterized in that: The step S7 specifically includes: Acquire real-time parameters collected by the temperature sensor, the polarization state sensor, and the light intensity sensor, and obtain a standardized parameter matrix through normalization processing according to the real-time parameters; Extracting a parameter coupling eigenvector from the standardized parameter matrix, establishing a control response time index calculation function based on the parameter coupling eigenvector, obtaining a quantitative index value through fuzzy membership calculation, and determining a weight coefficient from the quantitative index value using a hierarchical analysis method; An adaptive update function of the controller parameters is constructed according to the weight coefficients, and the controller parameters are corrected in real time through error feedback calculation to obtain an adaptive optimization parameter group.

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