173 results about "Continuous spectrum" patented technology

The invention discloses a photoacoustic spectrum-confocal Raman spectrum multi-view-field high-dimensional imaging method and a photoacoustic spectrum-confocal Raman spectrum multi-view-field high-dimensional imaging device. Nanosecond pulse laser with adjustable wavelength is generated through a continuous spectrum nanosecond pulser and a narrow-band spectrum tuning module and cooperates with a microscopic detection module, a depth imaging module, a galvanometer system and an electric displacement table to obtain spatial three-dimensional data, a photoacoustic spectrum and a Raman spectrum under multiple view fields; shallow photoacoustic spectrum-Raman spectrum tomography and deep three-dimensional photoacoustic imaging are realized; correcting a photoacoustic spectrum quantitative error by using a spectrum decoupling algorithm, and fusing the multi-view-field data to generate multi-view-field high-dimensional photoacoustic spectrum-Raman spectrum data; high-dimensional data features are extracted based on a 3D convolution instance segmentation network, and quantitative analysis and spatial distribution visualization of blood oxygen, inflammatory factors and the like are achieved. According to the method, the limitation that substances are difficult to analyze in photoacoustic imaging is overcome, the contradiction between the imaging resolution and the penetration depth is solved, and an accurate analysis means is provided for diagnosis of diseases such as knee osteoarthritis and sepsis.

The invention relates to the technical field of artificial intelligence, and discloses a brain-like multi-mode emotion recognition network, a brain-like multi-mode emotion recognition method and an emotion robot, and the brain-like multi-mode emotion recognition method comprises the steps: converting multi-mode emotion information into a pulse sequence; on the basis of the obtained pulse sequence, constructing a continuous pedigree emotion representation space, and realizing continuous representation of an emotional state; a continuous pedigree emotion representation space is utilized to generate pulse codes of mixed emotions, and a complex emotional state is represented; according to the pulse codes of the mixed emotions, establishing an emotional state conversion probability model, and describing a conversion relation between the emotions; based on an emotional state transition probability model, realizing prediction and processing of an emotional gradual change process, and capturing subtle emotional changes; according to the method, the working principle of human brain neurons can be used for reference, fine representation and accurate prediction of the human emotional state are achieved, and meanwhile high calculation efficiency and biological interpretability are achieved.

The invention provides probe type mineral multi-element laser-induced breakdown spectroscopy detection equipment. The equipment is characterized in that a sealed quartz optical window is mounted on the side surface of a probe box; the laser faces the sealed quartz optical window and emits laser pulses to the detected mineral; the convex surface of the quartz crescent focusing lens faces the laser, the concave surface of the quartz crescent focusing lens faces the sealed quartz optical window, and laser pulses are focused on the surface of detected mineral to generate plasma; the dichroscope is used for reflecting the plasma emission light to the double-lens group; the emitted light is converged through the double-lens group to form a plasma image with weakened chromatic aberration; the spectrograph is coupled with the plasma image through an optical fiber mechanism and records spectrums of different wavebands; therefore, after the focus point of the reflected light of the crescent focusing lens is pushed far to the laser, the optical element is prevented from being damaged; the imaging chromatic aberration of a plasma image is reduced by the double-lens group; the optical fiber mechanism balances spectral intensities of different wavebands and suppresses a continuous spectrum through spatial resolution.

The invention discloses an ultra-high-speed imaging device based on acousto-optic filtering modulation. The ultra-high-speed imaging device comprises a spectrum modulation system, a spectrum imaging system and a data processing system. The spectrum modulation system utilizes an acousto-optic tunable filter (AOTF) to dynamically modulate broadband continuous spectrum light, narrow-band illumination light which rapidly changes along with time is generated, and time information of a dynamic scene is effectively mapped to a spectrum dimension. And the spectral imaging system images the spectral coded dynamic scene to the hyperspectral camera to realize acquisition of spectral space-time information. The data processing system performs spectral crosstalk correction, channel separation and demosaicing reconstruction on the acquired original mosaic image, and recovers a time sequence image according to a spectrum-time mapping relation, thereby realizing single-shot superspeed imaging in a dynamic process. The device has the advantages of being simple and compact in structure, flexible in time window, high in imaging fidelity and the like, and has wide application prospects in the fields of rapid dynamics such as microfluidics, laser processing and ultrafast physics.

The invention discloses a 10kV medium-voltage power distribution network power line carrier communication method and system based on adaptive OFDM (Orthogonal Frequency Division Multiplexing), and the method comprises the steps that a master station sends a detection frame to a slave station, and the slave station carries out the CE (Channel Estimation), and obtains the CSI (Channel State Information); the method comprises the following steps of: dividing a broadband channel into a plurality of parallel orthogonal subcarriers, and dynamically allocating a modulation mode, a modulation order and a forward error correction (FEC) coding rate for each subcarrier of OFDM (Orthogonal Frequency Division Multiplexing) by adopting a water injection algorithm based on channel state information (CSI); adopting two-stage automatic gain control (AGC) to condition a signal received from a power line; and carrying out dynamic frequency hopping between a frequency band with serious interference and an idle frequency band based on a continuous spectrum sensing result. Compared with the prior art, through the multi-dimensional adaptive technology, the communication system can sense the channel state in real time and dynamically adjust the communication strategy, so that a stable communication link is established in a severe power grid environment.

The invention relates to the technical field of image recognition, in particular to a red tide algae recognition method based on a hyperspectral image, and the method comprises the following steps: calculating a gradient value of each pixel in a spatial dimension and a spectral dimension according to an original hyperspectral data cube, setting a diffusion coefficient for diffusion, and obtaining a three-dimensional fidelity hyperspectral data cube. According to the method, the gradient change trends of the spatial dimension and the spectral dimension are extracted at the same time pixel by pixel, and the regional differentiation diffusion operation is matched, so that the expression ability of the alga plaque boundary and the consistency of the internal spectral characteristics are enhanced, and the fidelity of the hyperspectral data in fine-grained region identification is improved; upper convex hull calculation of a spectral reflectivity curve and construction of a continuous spectrum background baseline are introduced, and characterization of pigment absorption morphological characteristics is enhanced; and in combination with the characteristic absorption wave bands of chlorophyll and phycobiliary, the synergistic weighted response to the distribution of the algae pigment is realized, and the sensitivity and selectivity of pigment recognition are improved.

The invention provides a soil pollutant detection system and method, and the method comprises the steps: carrying out the continuous spectrum compensation of a target compensation region of a soil Raman spectrum signal of a to-be-detected soil sample, and obtaining soil Raman spectrum compensation data; identifying a background baseline response interval in the soil Raman spectrum compensation data through iterative differential analysis, and segmenting the soil Raman spectrum compensation data into a plurality of peak-containing spectrum segments according to the background baseline response interval; determining a signal fidelity constraint of the soil Raman spectrum signal during smooth iteration; recognizing a local background baseline corresponding to each peak-containing spectrum section based on an incremental smooth window in combination with signal fidelity constraint, and determining a clean characteristic spectrum according to all background baseline response intervals and the local background baselines; and identifying according to the clean characteristic spectrum to obtain the pollutant concentration of the to-be-detected soil sample. According to the technical scheme provided by the invention, adaptive fidelity extraction can be carried out on the pollutant characteristics under the condition of the violently changing background base line.

The invention relates to a spectral confocal three-dimensional shape reduction method and system based on a super-surface spectral imaging chip. The method comprises the following steps: a continuous spectrum light source device emits a continuous spectrum light beam to a dispersion objective lens, the continuous spectrum light beam is subjected to spatial separation along an optical axis direction through the dispersion objective lens and then is irradiated to the surface of a to-be-measured three-dimensional topography object, and the continuous spectrum light beam is reflected on the surface of the object; a part of the reflected light beam penetrates through a light hole of the shading plate, then irradiates a focusing lens, is focused by the focusing lens and then enters a super-surface spectral imaging chip, and the super-surface spectral imaging chip collects wavelength information; wavelength information collected by the super-surface spectral imaging chip is converted into height information, and the three-dimensional shape of the surface of the object is fitted according to the height information and the pixel position corresponding to the height information. According to the invention, the reduction of the three-dimensional morphology can be realized through one-time photographing of the simple optical system, the morphology reduction efficiency is high, and the cost is low.

The invention provides an optical fiber transmission receiving signal prediction model training method, a prediction method and equipment, and relates to the technical field of transmission, and the training method comprises the steps: generating a training sample corresponding to a transmitting signal according to the transmitting signal generated by a transmitting end in a continuous spectrum nonlinear frequency division multiplexing system in advance, and training a neural network model based on the training sample to perform mixed domain feature extraction, multi-scale processing and attention feature extraction based on a peak perception attention mechanism on the training sample to obtain received signal prediction result data and optimize the neural network model so as to train the neural network model as an optical fiber transmission received signal prediction model. According to the method and the device, the received signal in the continuous spectrum nonlinear frequency division multiplexing system can be predicted, the accuracy of performing received signal prediction by adopting the trained optical fiber transmission received signal prediction model can be improved, and further the research and development period of the modeling process of the optical fiber communication system and the computing resource consumption of research and development equipment can be reduced.

The invention discloses a semiconductor etching end point detection method and a multi-channel detection system, and the detection method comprises the following steps: outputting detection light; expanding the detection light into a continuous spectrum band; imaging the continuous spectral band to a modulation surface of a digital micromirror device, and establishing a pixel group corresponding to each narrow-band wavelength of the continuous spectral band; performing spatial sampling on the continuous spectrum band, and distributing and writing a unique radio frequency modulation frequency f for each pixel group; respectively executing vibration type switch modulation on each pixel group at a radio frequency modulation frequency f so as to convert wavelength information of a continuous spectrum band into a time domain frequency optical signal; converting the time domain frequency optical signal into a time domain electric signal; performing frequency domain analysis on the time domain electric signal, and demodulating gas absorption light intensity corresponding to each modulation frequency; and judging the etching end point of the semiconductor according to the change trend of the gas absorption light intensity. According to the invention, parallel detection of a plurality of spectrum channels can be realized through a single detector so as to judge an etching end point.

The invention provides a uniform light mixing algorithm for an omni-directional light-emitting lamp. The uniform light mixing algorithm comprises the steps of obtaining a reflection spectrum of a target object, dynamically calculating a target SPD based on the data, driving a multi-channel LED to synthesize output, and achieving closed-loop control through continuous spectrum monitoring. According to the algorithm, a perception-decision-execution-feedback loop is constructed according to a visual effect of an optimization target after object-light interaction from a light-emitting surface static parameter to match the environment and requirements in real time, and the problems of color development distortion and insufficient comfort of static light mixing in a dynamic scene are solved.

The invention belongs to the technical field of thin film thickness detection, and discloses a multi-channel spectrum-based thin film thickness online detection method and system, and the method comprises the steps: irradiating a plurality of different positions of the surface of a thin film through a plurality of light beams with continuous spectrums, and collecting a multi-channel spectrum image formed by the reflected light of the surface of the thin film; each channel of the multi-channel spectral image corresponds to each irradiated position on the surface of the thin film; segmenting the multi-channel spectral image according to channels, and extracting a single-channel spectral image of each channel; calculating the film thickness of each irradiated position by using a film thickness analysis algorithm according to each single-channel spectral image; displaying a film thickness calculation result on a display interface; therefore, the accuracy and reliability of density detection are improved; therefore, synchronous online detection of multiple positions of the thin film can be realized, the detection efficiency and the spatial resolution are remarkably improved, and the accuracy and the stability of measurement can be improved.

The invention discloses a high-fidelity power pulse sound source for ship noise simulation and a control method thereof, the high-fidelity power pulse sound source comprises an electromagnetic transducer and a driving circuit thereof, the driving circuit of the electromagnetic transducer comprises an element for actively controlling the charging current of an energy storage capacitor and a bipolar Marx circuit for generating bipolar power pulses, the working modes comprise a bipolar pulse output mode and a power amplifier output mode. The invention also provides a circuit control method required by ship noise simulation. According to the high-fidelity power pulse sound source for ship noise simulation and the control method of the high-fidelity power pulse sound source, accurate injection and extraction of current in an electromagnetic transducer coil are achieved, and then the transducer is accurately controlled to output sound waves; the two working modes of bipolar pulse output and power amplifier output simulate a continuous spectrum and a line spectrum in ship noise respectively, and finally, a neural network used for generating a pulse power supply trigger signal is trained based on a cyclic gating unit, so that high-fidelity ship noise simulation is realized.

The invention belongs to the technical field of underwater sound detection, and discloses a detection efficiency evaluation method and device for a radiation noise continuous spectrum of an underwater vehicle. The method comprises the following steps: S1, modeling an underwater vehicle radiation noise continuous spectrum signal, and constructing a marine acoustic channel model library and an array signal processing algorithm library; s2, designing detection statistics of an underwater target, and setting a detection threshold value to detect and identify the continuous spectrum of the radiation noise of the underwater vehicle; and S3, by changing the parameters or algorithms in S1 and S2, evaluating the detection efficiency under the combination of distribution modes, channel propagation modes and array signal processing algorithms of different continuous spectrums. According to the method, the detection efficiency of the radiation noise continuous spectrum of the underwater vehicle can be evaluated, and guidance can be provided for stealth performance optimization of the underwater vehicle.

The invention discloses a method for monitoring the heat dissipation performance of a module in a salt mist environment, and belongs to the technical field of material performance monitoring, and the method comprises the steps: carrying out the continuous spectrum data collection of the heat dissipation surface of the module in the salt mist environment, obtaining original multispectral data, carrying out the background correction, generating multispectral imaging data, and recognizing an action region; analyzing the spectral response attribute of the action area, obtaining a characteristic spectral fingerprint, carrying out physical parameter inversion, obtaining heat dissipation related physical parameters, and combining heat flow distribution data during the operation of the synchronous acquisition module to establish a related mapping relationship; and carrying out quantitative evaluation on the influence degree and the degradation trend of the salt mist environment on the heat dissipation performance of the module by combining the related mapping relationship to obtain a performance evaluation report. According to the method, the technical means of combining multispectral imaging analysis and heat flow data modeling is adopted, and quantitative diagnosis and trend prediction of heat dissipation performance degradation can be achieved.

A quantum information processing system may comprise a quantum mechanical system capable of exhibiting transitions between a plurality of eigenstates; and a quantum control environment, wherein the quantum control environment eigenstates is capable of exhibiting modes from a continuous spectrum and is coupled to the quantum mechanical system at at least one coupling location, wherein said coupling is characterized with a set of parameters of the quantum mechanical system, and wherein a selected combination of the at least one coupling location and the set of parameters intentionally causes to suppress at least one of said transitions when intentionally changing a state of the quantum mechanical system by the quantum control environment.

The invention provides a gear continuous spectrum vibration signal identification method based on EMD (Empirical Mode Decomposition) and HHT (Hilbert-Huang Transform), and belongs to the field of signal processing of mechanical power. The method comprises the following steps: acquiring an original vibration signal; performing FFT (Fast Fourier Transform) on the original vibration signal to obtain an amplitude spectrum; eMD decomposition is carried out on the original vibration signal to obtain a plurality of IMF components and a residual component; performing HHT (Hilbert-Huang Transform) on each IMF component to obtain an analytic signal, extracting an instantaneous amplitude and an instantaneous phase of the analytic signal, and calculating an instantaneous frequency according to the instantaneous phase; performing FFT (Fast Fourier Transform) on the instantaneous amplitude to obtain amplitude modulation information; performing FFT (Fast Fourier Transform) on the instantaneous frequency to obtain frequency modulation information; overlapping the amplitude modulation information and the frequency modulation information of each IMF component to generate a Hilbert envelope spectrum; and carrying out peak value labeling on each Hilbert envelope spectrum, and comparing the Hilbert envelope spectrums with the amplitude spectrums to finish the characteristic frequency identification of the gear vibration signals. According to the method, the problem that a traditional fast Fourier transform (FFT) method is insufficient in complex modulation signal analysis capacity is solved.

The invention discloses a distributed passive positioning method based on spectrum whitening cross-correlation, and belongs to the technical field of underwater sound distributed passive positioning. According to the method, the problems of low time delay inequality estimation precision and low target positioning precision caused by low-frequency strong line spectrums in ship radiation noise are solved. In order to solve the problem that a low-frequency strong line spectrum in ship radiation noise affects delay inequality estimation, a signal spectrum whitening processing method is provided, and then a distributed passive positioning method based on spectrum whitening cross correlation is provided. Aiming at the non-white characteristic of a signal power spectrum caused by a ship line spectrum and a continuous spectrum trend, an alpha filter is used for carrying out average processing on the same frequency in time to obtain the average intensity of each frequency point, and then spectrum whitening processing on the power spectrum is realized through frequency domain normalization processing. The method solves a problem that the low-frequency strong line spectrum enables the correlation function to generate multiple peaks, thereby affecting the time delay estimation precision, and improves the precision of subsequent target positioning. The method can be applied to distributed passive positioning.

The invention discloses a light source system capable of continuously adjusting an attenuation ratio, and belongs to the technical field of optical radiation measurement and photoelectric detection. In order to solve the problems of wavelength dependence, discontinuous adjustment, spectrum distortion and the like existing in an existing light intensity adjusting scheme, a combined structure of an integrating sphere and a diaphragm cylinder is adopted, and the device comprises a light source, the integrating sphere with the high-reflection inner wall, a front-end adjustable diaphragm, the diaphragm cylinder with the extinction inner wall and a rear-end adjustable diaphragm. Continuous attenuation of output light intensity in a predetermined dynamic range is realized by adjusting the apertures of the front and rear diaphragms, the lower limit of attenuation ratio meets the requirement, and the dynamic range can reach more than three orders of magnitude. The system uses the integrating sphere to form a stable Lambert light source, the attenuation process depends on geometric parameters, spectral distribution and spatial uniformity basically remain unchanged, and the non-uniformity of a light-emitting surface is not greater than 5%. The invention further provides a calibration method, high-precision attenuation prediction is achieved through detector measurement and view factor model fitting, and the calibration method is suitable for weak cursor calibration, detector linearity testing and other applications.

The invention relates to the field of digital cultural heritage processing and man-machine interaction, and discloses a farming and nomadism digital symbol interactive experience system, which comprises an attribute propagation module used for calculating an organizational form attribute value representing a continuous pedigree state of a symbol between a farming ordered system and a nomadism free system; the correlation calculation module is used for constructing a correlation graph containing a time sequence evolution relationship based on the attribute value; the manifold evolution engine is used for constructing a mixed potential energy field formed by superposition of grid adsorption potential energy and free interaction potential energy, and adjusting sign stress parameters and motion trails according to attribute values; and the adaptive rendering module is used for generating a symbol form and visual feedback according to the attribute value and the association weight. According to the method, logic attributes are mapped into physical potential energy field weights and rendering parameters, so that continuous dynamic expression and visual interaction of historical symbols from a grid structure to a manifold structure are realized.

The invention discloses a spectral analysis-based PCB chemical preparation ratio intelligent adjustment method and system, and relates to the technical field of industrial data processing. The method comprises the following steps: monitoring a cleaning solution flowing through a PCB cleaning tank in real time to obtain continuous spectrum time sequence data; analyzing in real time to obtain a copper ion concentration value sequence and a corrosion inhibitor concentration value sequence, and calculating a copper ion concentration change rate and a corrosion inhibitor concentration change rate in real time; analyzing the real-time change trend of the copper ion concentration value and the corrosion inhibitor concentration value, and analyzing the real-time numerical relationship between the copper ion concentration change rate and the corrosion inhibitor concentration change rate; judging whether a harmful side reaction which mainly consumes the corrosion inhibitor occurs or not; and when the harmful side reaction is judged to occur, inputting the copper ion concentration change rate and the corrosion inhibitor concentration change rate into a pre-trained proportioning optimization model, and outputting to obtain an acid agent adjustment amount and a corrosion inhibitor adjustment amount. According to the invention, the precise, real-time and intelligent adjustment of the proportion of the PCB chemical agent is realized.

The invention relates to a device (56) for on-the-fly measurement of the absorption spectrum (σ(λ1)) in the visible light range of at least one wall (16) of preforms (12), comprising: - means (36) for conveying preforms (12), - a measurement light source (58) which emits a measurement light beam (55) according to a continuous measurement spectrum (σm), - a spectrometer (62) measuring the intensity (I) and the wavelength (λ1) of the first light beam (55) after having passed through the preform (12), characterised in that the measurement light source (58) comprises at least two primary light sources (58A, 58B, 58C, 58D) which each emit a primary light beam according to an associated continuous spectrum (σA, σB, σC, σD), the primary continuous spectra (σA, σB, σC, σD) of the primary sources (58A, 58B, 58C, 58D) being different.

The invention discloses a spectrum super-resolution method and system based on an FP cavity and deep learning, and the method comprises the steps: S1, carrying out the initialization of spectrum collection, and selecting light with a specific wavelength after the light is acted with a target detection object; s2, performing photoelectric conversion and digitization to generate low-resolution original discrete spectrum data of corresponding wavelengths; s3, continuous spectrum scanning is carried out, and original discrete spectrum data collection of the whole target wave band is completed; and S4, performing super-resolution spectrum reconstruction, and judging whether cyclic reconstruction is performed or not based on a reconstruction data quality evaluation result until the quality is qualified. According to the method, an accurate mapping model from a low-resolution spectrum to a high-resolution spectrum is established through a pre-trained deep neural network, and an original spectrum which is collected by an FP cavity and is limited by the theoretical limit optical resolution of the FP cavity can be reconstructed into a super-resolution spectrum of which the resolution remarkably exceeds the theoretical limit. The problem that the resolution of an FP cavity in a long-wave region is sharply reduced is effectively solved, and the full-wave-band uniform high resolution is realized.

The invention relates to an ultraviolet analyzer for detecting sports diet finished products, which is characterized in that a lower liquid level table and an upper liquid level table are arranged on a base unit, and a to-be-detected fluid sample forms a liquid bridge between the lower liquid level table and the upper liquid level table; the surface energy anchoring structure is used for forcibly limiting a solid-liquid contact line of a to-be-detected fluid sample in a preset optical path light passing area; the liquid bridge impedance feedback loop is used for forming a closed loop through a liquid bridge in the liquid bridge stretching process so as to monitor the equivalent complex impedance value of the liquid bridge in real time; in the process that the driving unit drives the lifting detection head to stretch the liquid bridge, the stretching speed of the driving unit is adjusted in real time according to the complex impedance change rate fed back by the impedance analysis module; and the optical fiber spectrum detection unit is triggered to carry out spectrum acquisition at a plurality of different stretching heights when the liquid bridge maintains a continuous state. According to the invention, high-precision detection can be realized without physical dilution, and continuous spectrum data under a group of optical program columns can be obtained through single sample loading.

The application discloses an infrared spectrum mixed gas identification method and an identification device. The identification method comprises the following steps: sending a regulation and control instruction to a regulation and control component according to a regulation and control strategy, so that an infrared narrow-band filter generates multiple detection light beams with different center wavelengths, which are incident into a detection component; obtaining detection information obtained by detecting values corresponding to the detection component and each detection light beam, and judging whether it is a mixed gas type through a judgment rule; if yes, performing multi-component analysis on the detection information to obtain component analysis information; and obtaining key detection parameters from the detection information according to the component analysis information, and performing analysis to obtain a corresponding gas identification result. The identification method can realize continuous spectrum scanning in a certain waveband range by controlling the regulation and control component to adjust the infrared narrow-band filter to generate detection light beams with different center wavelengths, can perform multi-component analysis and obtain a gas identification result, and can realize reliable analysis on a mixed gas with multiple gas components and accurate acquisition of the concentration values of each gas.

The invention relates to the technical field of track traffic safety monitoring, in particular to a track circuit operating characteristic analysis system and method.The track circuit operating characteristic analysis system comprises a traction rail backflow monitoring module used for monitoring line parameters on a lead wire between a choke transformer and a steel rail and extracting 50 Hz components of the line parameters; when the system is used, the absolute value and the flow direction state of rail backflow current are mastered in real time, a rail transmission line mathematical model is utilized, real-time quantitative monitoring of the train shunt state is achieved, and continuous spectrum tracking of a target frequency point is achieved through sliding Fourier transform; the method achieves the purpose of monitoring traction rail backflow, dynamic shunt resistance and adjacent line interference on line at the same time, carries out comprehensive analysis based on monitoring data, facilitates the improvement of the sensitive detection capability of abnormal shunt behaviors, eliminates the influence of adjacent line interference, can achieve multi-frequency-point signal extraction only through one current transformer, and improves the detection efficiency. And the hardware complexity and cost can be reduced.

The invention relates to the technical field of X-ray optics and spectral analysis, in particular to a multi-objective optimization design method and system for an X-ray fluorescence spectrum monochromator, and the main points of the technical scheme are as follows: S1, parameter and database input, S2, source spectrum generation and calibration, S3, monochromator dynamics solution, S4, multi-scheme comprehensive scoring and optimization selection, and S5, XRF forward modeling and system-level indexes. According to the method, an X-ray tube source parameter library is established to synthesize a real source spectrum containing a continuous spectrum and a characteristic line, an optimal design scheme is automatically searched in a multi-parameter space through a normalized weighted scoring system, and finally a simulated full spectrum is generated and system-level performance indexes are evaluated through an end-to-end'source-monochromatization-sample-detector 'forward modeling link. The problems that in a traditional design method, parameter coupling is complex, and model prediction deviation is large are solved, collaborative optimization of energy resolution, flux and purity is achieved, and technical support is provided for developing a high-performance XRF spectrograph.

The utility model discloses a light source suitable for secondary light distribution and capable of inhibiting excessive growth of an eye axis, a heat dissipation copper column is arranged in a lamp bead, and the heat dissipation copper column not only can be directly used as a conductive structure to electrically connect a chip to an anode pin, but also can achieve a better heat dissipation effect. The conductive layer is embedded in the support, the receding groove is formed in the upper surface of the support, the exposed area of the conductive layer on the surface of the support can be greatly reduced, and therefore the anti-static performance and the compression resistance of the lamp bead can be greatly improved. In addition, the light-emitting spectrum of the lamp bead is a continuous spectrum of 360-850 nm, and the effect of inhibiting excessive growth of the eye axis can be achieved. And the difficulty of secondary optical light distribution of the light source can be greatly reduced by reducing the spectral energy ratio range corresponding to the light of each wavelength section. In addition, the utility model further discloses a lamp provided with the light source capable of inhibiting excessive growth of the eye axis and suitable for secondary light distribution.

This invention provides an intelligent spectrum allocation method and system for adaptive signal-to-noise ratio (SNR) in C+L band optical networks, relating to the field of optical fiber communication technology. The method includes: initializing the C+L band elastic optical network and determining nodes, links, spectrum slots, and time slot resources; receiving service requests and clarifying the source node, destination node, time slot requirements, and capacity; calculating link weights based on transmission distance and spectrum occupancy, and selecting the optimal path; determining the modulation format based on path distance and calculating the required spectrum slots; allocating higher-order modulation to the C band and lower-order modulation to the L band; ensuring continuous spectrum slots and consistent links, otherwise the request fails; selecting the spectrum block with the highest OSNR for allocation, comparing the OSNR with a threshold, and determining whether the request is successful. This invention improves the transmission quality of service requests and enables more comprehensive and accurate resource allocation.

The application belongs to the technical field of micro-nano optics, and discloses a superstructure crystal and a method for realizing dynamic control of fluorescence based on the superstructure crystal. The superstructure crystal provided by the application comprises a substrate layer as a bottom layer and a hydrogel array layer as a top layer, the hydrogel array layer is prepared by uniformly mixing a hydrogel and a quantum dot solution, the hydrogel array comprises periodically arranged air holes, the optical response of the superstructure crystal depends on the thickness, period and size of the air holes of the hydrogel array layer, and the resonance characteristics of the superstructure crystal dynamically change with the environmental humidity. By changing the environmental humidity, the bound state q-BIC resonance wavelength in the quasi-continuous spectrum of the superstructure crystal is moved, and the wavelength and angle of the incoherent fluorescence emission are dynamically controlled. The application can improve the dynamic control performance of the wavelength and angle of the fluorescence control of the quantum dots, and effectively adjust the fluorescence emission.