1253 results about "Multi wavelength" patented technology

The invention discloses an online monitoring method and system for the light transmittance of an optical lens, and relates to the technical field of precise optical detection. The objective of the invention is to solve the problem of large light transmittance calculation error caused by halo scattering noise interference, low optical path calibration precision of a complex curved lens, a measurement blind area of a large-aperture lens and environmental disturbance of a high-reflection / high-light-transmittance lens in the prior art. According to the scheme, a three-dimensional curved surface model is constructed based on Gray code structured light projection and ICP registration, a dynamic partition scanning instruction set is generated through an improved genetic algorithm, and multi-wavelength polarized light is driven to scan and collect multi-dimensional data; specular reflection and scattering noise are suppressed by combining an improved Stokes vector algorithm and an attention mechanism U-Net network, and the data precision of the complex curved surface is improved by adopting Bayesian optimization and Zernike polynomial weighted fusion; constructing a double-loop coupling optimization architecture to realize closed-loop adaptive optimization; according to the invention, the anti-interference capability, the complex lens adaptability and the full-aperture detection precision are obviously improved.

The invention relates to the technical field of light emitting devices, and discloses a control method for a silicon light integrated multi-wavelength light emitting device, and the method comprises the steps: carrying out the grating coupling processing and polarization state separation processing of a plurality of wavelength channels of the silicon light integrated multi-wavelength light emitting device, and obtaining an initial optical characteristic data set; performing temperature response characteristic analysis to obtain a temperature field characteristic parameter set; performing spectral characteristic analysis on the plurality of wavelength channels to obtain wavelength channel characteristic vectors; a wavelength drift coefficient matrix and a refractive index change coefficient matrix are calculated, and a multi-wavelength linkage control data model is generated; according to the method, a hierarchical control structure comprising a quick response layer, a temperature compensation layer and a polarization optimization layer is constructed, multi-wavelength cooperative control operation is executed, and a steady-state control parameter set is output, so that the wavelength stability control precision and the temperature control precision are improved, the adaptive capacity to disturbance of different time scales is enhanced, and the stability of the system is improved. And stable operation under complex working conditions is ensured.

The invention relates to a network real-time synchronization communication system, and relates to the technical field of computer network communication. The system comprises four core modules: a hardware optical IO synchronization module which integrates a multi-wavelength optical transceiver array and an anti-jitter circuit and provides a nanosecond global clock signal, and the synchronization precision is less than or equal to 15ns; the time sequence arrangement module is used for dividing a fixed time window and a dynamic buffer window based on a time sensitive network, supporting a priority preemption mechanism of the SRIO bus and realizing deterministic data transmission; the distributed RTDATA nodes replace a traditional single-board computer, a heterogeneous computing unit and an intelligent storage controller are integrated, and protocol stack processing delay is reduced through the zero copy technology; according to the dynamic multicast routing system, a safely isolated multicast tree is constructed as required, and link load distribution is optimized in combination with machine learning. Through collaborative design of hardware optical synchronization and dynamic data arrangement, the problem of real-time performance reduction caused by multi-node communication concurrence is solved.

The invention belongs to the technical field of water quality monitoring, and particularly relates to a construction method and device of a turbidity testing system based on a photoelectric detector. Optical signal data and multi-wavelength optical signal data are obtained; performing intelligent switching and spectrum matching according to the signal data, determining a target wavelength, and obtaining characteristic parameters related to turbidity by combining a scattering and transmission combined measurement principle; measuring different standard solutions according to the characteristic parameters to obtain corresponding characteristic parameters, constructing a turbidity characteristic parameter data set, and establishing a characteristic ratio turbidity calibration model according to the data set; measuring and calculating the turbidity according to the characteristic ratio turbidity calibration model in combination with a dynamic temperature compensation algorithm, and meanwhile, performing temperature compensation; and transmitting the parameter information to a cloud database for storage, performing hierarchical processing, performing regular intelligent self-inspection at the same time, and feeding back abnormal data when an abnormality occurs. Therefore, the problems of insufficient range coverage, weak automatic calibration capability, susceptibility to temperature drift and the like in the prior art are solved.

The invention relates to the technical field of laser control, and provides a high-dynamic-range multi-channel laser interference control method and related equipment. Channel signals of a plurality of target channels are obtained in real time according to a plurality of preset photoelectric detectors, time domain-frequency domain-space three-dimensional sampling is performed on the channel signals to construct an original tensor, joint optimization processing is performed on the original tensor to obtain a noise reduction tensor, phase unwrapping is performed on the noise reduction tensor to obtain an absolute phase matrix, and the absolute phase matrix is subjected to noise reduction processing to obtain an absolute phase matrix. Performing dynamic range expansion on the absolute phase matrix to obtain an enhanced phase matrix, performing multi-wavelength calculation and environment compensation on the enhanced phase matrix to obtain a distance matrix, and performing vibration compensation on the distance matrix to obtain a piezoelectric driving signal. According to the channel laser interference control method, through a series of advanced algorithms and processing means such as multi-dimensional signal acquisition, combined noise reduction optimization, precise phase unwrapping, dynamic range expansion and vibration compensation, comprehensive improvement of laser interference measurement signals is realized.

The invention discloses an intelligent multi-gas detection module data processing system and method based on NDIR, and relates to the technical field of gas detection.The method comprises the steps that a multi-wavelength NDIR sensor is used for obtaining light intensity changes of a gas sample under different wavelengths, and original spectral signals are generated; performing denoising processing on the spectral signal by adopting wavelet transform, and performing zero calibration and dynamic baseline deduction; based on the Beer-Lambert law in combination with environmental factors, establishing a relation model between gas absorption and spectral signals; updating model parameters by using a recursive least square algorithm, and continuously optimizing gas concentration prediction; separating gas signals by adopting a non-negative matrix factorization algorithm, and predicting the concentration of each gas; and the edge end operates the lightweight model in real time, and regularly uploads the model to the cloud end for global optimization and federated learning. The method can effectively improve the condition that the precision is insufficient when the model is used for a long time in the prior art.

The invention provides a wavelength division multiplexing-fused multi-core optical fiber temperature detection method and system. Wherein the broadband light source is divided into multiple wavelength channels through wavelength division multiplexing, and a wavelength-fiber core mapping relation is established, so that each fiber core of the multi-core optical fiber transmits a single-wavelength optical signal. An optical fiber is integrated to the surface of an object according to a three-dimensional path, each fiber core covers a plurality of sensing sub-areas, the wavelength drift amount caused by temperature is extracted by detecting the attenuation characteristic of an optical signal at a bending position, the wavelength drift amount is converted into a temperature value in combination with a calibration curve, and a temperature gradient model bound with the fiber core position is constructed. And further performing spatial solution by using fiber core spacing, wavelength mapping and transmission time delay parameters, establishing a corresponding relationship between the coordinates of the sensing sub-regions and the temperature, and finally reconstructing three-dimensional temperature field distribution. According to the technical scheme provided by the invention, high-resolution dynamic reconstruction and gradient analysis of a three-dimensional temperature field on a complex surface are realized through wavelength-space two-dimensional decoupling.

The invention relates to the technical field of temperature control of light sources, and discloses a temperature control method, device and equipment for a multi-wavelength LED detection light source, and the method comprises the steps: carrying out the modeling of each wavelength LED in the multi-wavelength LED detection light source, and obtaining a transient temperature rise balance model; performing noise reduction preprocessing and temperature coupling spectrum analysis to obtain a multi-wavelength temperature signal feature vector; performing combined power resampling and envelope spectrum analysis to obtain a multi-wavelength temperature anomaly feature library; constructing a temperature control strategy; zero temperature drift distribution calculation considering thermal coupling is carried out, a multi-path first-order inertia compensation model is established, and multi-path PWM modulation parameters are obtained; and collecting multi-wavelength real-time temperature data, carrying out matching calculation on the multi-wavelength real-time temperature data and the multi-wavelength temperature anomaly feature library to obtain a multi-channel temperature deviation compensation value, and cooperatively updating multi-channel PWM modulation parameters based on temperature balance. According to the method, the problems of temperature balance and spectrum stability of the multi-wavelength LED detection light source in the use process are effectively solved.

A pest control system is disclosed comprising an optical, computational, and monitoring subsystem, optionally mounted on a mobile platform. The optical system may include a neutralizing laser or multi-wavelength light source, discovery and detail cameras (optionally stereo), a beam-steering mechanism, tunable focus, and optional thermal or depth sensors. The processor, such as a GPU or FPGA, identifies insect or biological targets, adjusts laser focus by depth, and controls beam activation. A monitoring system verifies safety by detecting humans or other non-target entities using environmental and thermal cameras; if detected, laser firing is inhibited. The mobile platform may use wheels, propellers, tracks, or cables, with GPS and data links for remote control. A visible light pre-flash may induce a blink reflex before firing. In some embodiments, a scouting drone transmits target coordinates to the neutralization unit, enabling coordinated, efficient, and safe laser-based pest control.

Provided are multi-wavelength phototherapy devices, systems and methods for the treatment of a disorder or disease, including multi-wavelength low level light therapy (“PBM”), in particular to multi-wavelength PBM and other phototherapy systems and methods for improving functionality in and / or restoring functionality to a cell and / or tissue through the coordinated and targeted delivery to the cell or tissue of two or more doses of light having distinct wavelengths, wherein the two or more doses of light, when delivered in a coordinated fashion, can stimulate the activity of two or more light sensitive factors that, when activated, provide and / or enhance a desired target cell functionality. Ophthalmic phototherapy devices, systems, and treatment methods to expose an eye to selected multi-wavelengths of light to promote the healing of damaged or diseased eye tissue. The devices include a housing having an interior; an eyepiece disposed on the housing and configured and arranged for placement of an eye of the patient adjacent the eyepiece; a first light source producing a first light beam having a first therapeutic wavelength and disposed within the housing; a second light source producing a second light beam having a second therapeutic wavelength and disposed within the housing, where the second therapeutic wavelength differs from the first therapeutic wavelength by at least 25 nm.

An input device determines presence of an actual user, instead of an artifact, by using multi-wavelength reflectance spectroscopy. Light sources are operated to illuminate an object with different colors of light at different times. A detector determines, at those different times, intensity data indicative of intensity light of these different colors as reflected from the object. The intensity data is processed to determine whether the object is part of a user or is an artifact. For example, if the object is deemed to be a user, biometric input may be acquired. The biometric input may then be processed to identify the user. The input device may be used at various locations, such as at an entry portal, point of sale, and so forth.

The invention discloses an intelligent control and detection system for precision coating uniformity, and relates to the technical field of non-contact thickness measurement, the system comprises a spectrum confocal chromatography detection module, a non-contact multi-wavelength full-breadth detection module, an optical flow field dynamic measurement module and the like, a data processing unit is combined with a model to generate an evaluation model, and the evaluation model is used for evaluating the coating uniformity. The system has the advantages that multi-layer coating structure data are obtained in a full-breadth mode through a linear array sensor of the spectrum confocal chromatography detection module, a slurry full-breadth flow velocity vector field is analyzed in combination with the optical flow field dynamic measurement module, and the flow velocity measurement accuracy is improved. And the data processing unit fuses the multi-modal data to generate an evaluation model, and the regulation and control strategy generation module outputs an instruction containing edge air pressure regulation, so that accurate control over coating uniformity is achieved, damage to a base material is avoided, material waste and manual debugging time consumption are reduced, and the production efficiency and the product yield are remarkably improved.

The invention discloses a sand and dust vertical flux high-precision inversion method based on a laser radar. The method comprises the following steps: acquiring multi-wavelength back scattering and polarization information by using a 355 nm, 532 nm and 1064 nm three-wavelength polarization laser radar system; constructing a five-dimensional optical feature vector space, and combining a support vector machine classifier to realize automatic identification of dust particles; a variational data assimilation technology is adopted to fuse radar observation and numerical forecasting information to invert a three-dimensional wind field; inverting sand and dust mass concentration vertical distribution based on the corrected particle spectrum distribution model; flux calculation and uncertainty quantization are realized through adaptive weighted fusion and a Monte Carlo method; the method has the characteristics of high temporal-spatial resolution, high precision, strong adaptability and the like, and can be widely applied to the fields of weather forecast, environment monitoring, climate research and the like.

The invention discloses an all-solid-state ultraviolet laser capable of simultaneously generating 310 nm and 355 nm high-energy laser, and belongs to the technical field of lasers. Comprising a fundamental frequency laser, a frequency doubling module of the fundamental frequency laser, a sum frequency module in an optical parametric oscillation cavity and a sum frequency module, output energy of a 1064nm pulse laser is fully utilized, nonlinear crystal frequency conversion technologies such as frequency doubling, optical parametric oscillation and sum frequency are adopted, and 310nm and 355nm ultraviolet pulse laser output is achieved. The device has the advantages of multiple wavelengths, high energy, high beam quality, compact structure and the like, the ultraviolet band is located in an ozone absorption band, and the device is particularly suitable for detection of ozone concentration of troposphere and stratosphere atmosphere by a satellite-borne laser radar.

The invention discloses a multi-probe on-line real-time film thickness measuring method and a multi-probe on-line real-time film thickness measuring device. In combination with the multi-wavelength analysis capability and multi-channel parallel signal characteristics of the spectrum detection unit, different plane positions are adopted to correspond to different wavelengths or central wavelengths, the transmissivity of each wavelength is obtained, and the thickness of the corresponding position is obtained respectively; the precision and the accuracy of obtaining the thickness by a single wavelength are improved through a multi-mode cooperative signal analysis algorithm, so that the thicknesses of a plurality of different positions of the same thin film are accurately obtained at the same time through one spectrum detection unit, or the thicknesses of a plurality of different thin films are obtained; according to the invention, the problems of large absorption, transparent or non-transparent substrate compatibility, quick response, multi-branch and on-line real-time measurement of the film are successfully solved; the device and the method can be integrated in film growth equipment to carry out rapid and high-precision measurement on the film, so that closed-loop control on film production is realized, the iteration speed is increased, the yield of high-quality film production is greatly increased, and the film production cost is saved.

The invention provides a virtual imaging method and system applied to virtual shooting, computing equipment and a storage medium, and relates to the technical field of virtual imaging. The method comprises the following steps: synchronously acquiring object surface reflection characteristic data by using a multi-wavelength light source, and generating various imaging parameters through an image feature extraction network; the dynamic attitude data and binocular vision depth information are fused, and virtual and real scene dynamic space coordinate mapping is constructed; calculating the surface reflection intensity distribution of the virtual object in real time through a light propagation simulation module in combination with the specular reflectance and deformation correction parameters, and dynamically adjusting the relative position of the virtual object and the real light source; generating a continuous and smooth shadow boundary transition effect based on a material attenuation model; and performing space-time calibration on the shadow effect by using the dynamic attitude sequence to realize frame-level synchronous rendering of virtual and real light source positions and shadow changes. According to the technical scheme provided by the invention, through optical parameter modeling and dynamic path optimization, the problem of light and shadow distortion of the virtual object in a real scene is solved.

The invention relates to the technical field of semiconductor devices, in particular to a multi-wavelength light emitting diode and a light emitting module. According to the multi-wavelength light-emitting diode, a multi-quantum well layer comprises n groups of quantum well light-emitting units with different forbidden bandwidths; the n group of quantum well light-emitting units and the (n-1) group of quantum well light-emitting units meet at least one of the following characteristics: (a) the concentration of In in at least one well layer of the n group of quantum well light-emitting units is greater than the concentration of In in at least one well layer of the (n-1) group of quantum well light-emitting units; and (b) the thickness of at least one well layer of the n group of quantum well light-emitting units is greater than that of at least one well layer of the (n-1) group of quantum well light-emitting units. Through the arrangement of the multiple groups of quantum well light-emitting units, under the condition that multiple wavelengths can be generated, stress is fully released, and the photoelectric conversion efficiency is improved.

The invention relates to the technical field of light spot control, and discloses a light spot control method, device and equipment for a focus-adjustable LED light source, and the method comprises the steps: carrying out the parameter collection and optical modeling of the LED light source, and obtaining an LED light source mathematical model; performing light spot feature extraction and multi-wavelength coupling signal separation to obtain a high-energy dominant wavelength component and a low-energy sub-wavelength component; performing spectral decomposition parameter optimization to obtain spectral control parameters; performing attenuation compensation calculation to obtain an optical path compensation coefficient and a focal length adjustment parameter; performing dynamic balance adjustment according to the optical path compensation coefficient and the focal length adjustment parameter, calculating a light spot quality evaluation index and a light intensity ratio, and generating a wavelength balance control parameter; the wavelength balance control parameters are input into the LED drive control system, and the LED light source drive control quantity is output through multi-loop closed-loop control and real-time parameter calculation, so that the accuracy of focal length adjustment is improved, and the stability of the light spot form is ensured.

The invention discloses a method for correcting a laser gas concentration sensor, which is used for measuring gas concentration by using laser with different wavelengths and correcting by combining environmental parameters. The method comprises the following steps: extracting laser absorption characteristics by using a first feedforward neural network, extracting environmental matrix characteristics by using a convolutional neural network, fusing the characteristics through an attention mechanism, and predicting the gas concentration through a second feedforward neural network. The loss function not only considers the difference between the predicted value and the true value, but also comprises the physical constraint between the light intensity value and the theoretical light intensity value. According to the method, the measurement accuracy and the model robustness under different environmental conditions are improved, and the influence of measurement errors and environmental fluctuation is reduced through the combination of multi-wavelength measurement and physical knowledge.

The invention discloses a method, a device and equipment for testing the uniformity of a light guide film, and the method comprises the steps: carrying out the dynamic temperature adjustment of the light guide film, and obtaining the multi-wavelength dynamic spectrum data of an edge region; nonlinear optical response characteristics are extracted; generating a dynamic optical characteristic diagram and performing three-dimensional structure analysis; calculating a thermo-optical coupling complexity index; generating dynamic change data of the optical performance of the edge region; and executing multi-dimensional evaluation index processing and time sequence analysis to obtain a dynamic accurate evaluation result. According to the technical scheme, the optical performance of the edge area of the light guide film can be accurately evaluated under the dynamic temperature condition, the influence of temperature change on the uniformity of the light guide film is effectively captured, the accuracy and practicability of a test result are improved, and a more reliable basis is provided for design optimization and quality control of the light guide film.

The invention relates to the technical field of concentration calculation, in particular to a water suspended matter concentration calculation method based on multi-wavelength detection, which comprises the following steps of: adopting a multi-spectral measurement method, utilizing light beams with different wavelengths to penetrate through a water body, and identifying particle size distribution and morphological characteristics of suspended matter particles; separating and correcting the turbidity contribution of the particles with different particle sizes through a least square fitting algorithm; decomposing the measured optical signal into a basic scattering component, a particle size dependent component and a background signal component by adopting a multi-level signal decoupling algorithm; and in combination with data after particle characteristic correction and optical signal decoupling, constructing a suspended matter concentration calculation model based on particle dynamics, calculating the water suspended matter concentration by using the dynamic model, and outputting suspended matter concentration data. According to the method, dynamic modeling is carried out on the concentration of the suspended matter, a dynamic equilibrium equation is solved through numerical values, and the concentration change of the suspended matter in time and depth is accurately described.

According to the mining dust monitoring system and method based on multi-wavelength fusion and dynamic compensation, a light chamber is arranged in an inner cavity of a shell, an inlet of the light chamber is connected with a main gas inlet of the shell through a gas inlet pipeline, and an outlet of the light chamber is connected with a main gas outlet of the shell through a gas exhaust pipeline; the laser detection module is mounted in the light chamber and comprises a lens group, a laser source I, a laser source II, a light scattering signal receiving module, a light transmission signal receiving module and a light trap; the first laser source and the second laser source form a dual-wavelength laser source; the micro fan is mounted in the main air outlet; the environment sensing module is mounted in the exhaust pipeline; the method comprises the following steps: constructing an environment drift prediction model; testing the dust concentration in the environment to be tested, and calculating the dust concentration I Csct and the dust concentration II Ct based on the scattered light electric signal and the transmission photoelectric signal; and carrying out environment drift prediction, and obtaining corrected dust concentration data through a fusion calculation mode. According to the system and the method, an accurate dust concentration monitoring result can be obtained.

The invention provides a reconfigurable optical convolution operation device and an optical convolution operation method, and relates to the field of optical calculation, and the reconfigurable optical convolution operation device comprises a multi-wavelength signal loading module which is used for generating N continuous carrier lasers with different wavelengths and modulating the N continuous carrier lasers with different wavelengths respectively, the continuous carrier laser of each wavelength carries K data, and N laser signals of different wavelengths are obtained; the data shift processing module is used for equally dividing the laser signals of each wavelength in the N different wavelengths into M laser signals, performing time sequence shift operation on the M laser signals corresponding to each wavelength, combining the laser signals with the same time sequence shift in the laser signals of the different wavelengths, and performing data through the same data port, data obtained after adjacent laser signals in the M laser signals corresponding to each wavelength are shifted differ by one bit in time sequence; and the reconfigurable optical convolution module is used for simultaneously carrying out parallel convolution operation on the N * K data to obtain a parallel convolution result.

The invention discloses a multi-fluorescence imaging device capable of adjusting visual field area and optical tomography, which comprises a multi-wavelength light source, the multi-wavelength light source comprises a wavelength variable light source or a light source array, and the wavelength variable light source and the light source array are independent and can realize multi-wavelength output. The optical fibers are mounted on the multi-wavelength light source and transmit light according to different wavelengths, the optical fibers are circularly placed at certain intervals, and the diameter of the optical fibers is changed according to applied voltage and applied temperature to form an annular magnetic disk. The wavelength of the exciting light can be freely adjusted by utilizing a multi-wavelength light source or realizing the exciting light with variable wavelength, a plurality of contrast agents are excited to obtain a multi-wavelength fluorescence image, the characteristics of the plurality of contrast agents can be simultaneously observed, and the universal fluorescence imaging device is widely applied to multi-antigen analysis and treatment. The method can be used for measuring lesion light cross-sectional images and has the advantage of analyzing lesion cross-sectional structures in real time.

The invention relates to the technical field of biomedical signal processing, and discloses a multi-wavelength PPG signal motion artifact elimination algorithm and system. The method comprises the following steps: acquiring a multi-wavelength PPG signal by using acquisition equipment; inputting the acquired noise-containing multi-wavelength PPG signal into a filter; the filter processes an input signal and then generates a denoised PPG signal; extracting a period of the denoised signal in real time by using an autocorrelation function; inputting the denoised PPG signal and a period extracted in real time into a BSS algorithm to find an optimal noise reference signal; taking the denoised PPG signal and the optimal noise signal as a first input and a second input of adaptive filtering to eliminate motion artifacts; the motion artifacts are eliminated by using the algorithm, and finally the PPG signals with the motion artifacts eliminated are output; the method overcomes the problems of dependence on additional hardware, low correlation of noise reference signals, complex algorithm and the like in the prior art.

The invention discloses an LED chip appearance defect detection method based on image processing, and relates to the technical field of image processing, and the method comprises the following steps: S1, carrying out the multi-angle and multi-wavelength scanning of a defect-free reference LED chip under a stable exposure condition, extracting the dominant frequency vector and direction distribution information of the surface microstructure of the LED chip, and carrying out the detection of the appearance defect of the LED chip; an interference risk map is generated based on the dominant frequency vector and the direction distribution information. According to the method, dynamic adjustable optical imaging parameters and image processing results are deeply coupled, a closed-loop detection mechanism for adaptively inhibiting interference fringes is constructed, and accurate defect and interference distinguishing is realized through an interference risk map, a phase consistency index, discrimination subspace backstepping and optical adjustment, frequency domain notch and spatial domain detail recovery, so that the detection accuracy is improved. And in combination with confidence feedback and encryption sampling, the missing detection and false detection rate is remarkably reduced, and the detection stability and reliability are improved.

The invention relates to the technical field of semiconductor devices, in particular to a multi-wavelength light emitting diode and a light emitting module. The multi-wavelength light-emitting diode comprises a multi-quantum well layer, wherein the multi-quantum well layer comprises at least m groups of light-emitting regions for generating light with different wavelengths along a first direction; a first well layer, closest to a first light-emitting region of the N-type semiconductor layer, in the multi-quantum well layer has the highest In concentration or the minimum forbidden bandwidth; the second light-emitting region is arranged on the first light-emitting region, and the forbidden bandwidth of the second well layer is greater than or equal to that of the first well layer; the third light-emitting region is arranged on the second light-emitting region, and the forbidden bandwidth of the third well layer is larger than that of the second well layer; a buffer region is arranged in the multi-quantum well layer and is arranged between the first light-emitting region and the second light-emitting region or in the second light-emitting region; the forbidden bandwidth of the buffer region is greater than that of the second well layer. According to the light-emitting diode, by arranging the buffer area and matching with parameter setting of other light-emitting areas, lattice mismatch can be relieved, the crystal quality of the light-emitting areas can be improved, and the light-emitting efficiency can be improved.

The invention discloses an ultrahigh resolution interferometer measurement method and system based on a phase shift gauge block, and the method comprises the steps: placing an ultrahigh resolution interferometer and a preset phase gauge block in a heat preservation box, and introducing two kinds of frequency stabilization laser into the heat preservation box through a single-mode optical fiber; obtaining interference fringe data by adopting a five-step phase shift method, and adjusting the interference fringe data according to the laser wavelength to obtain adjusted data; acquiring environmental data containing the preset phasor block in the heat preservation box, and correcting the adjustment data by eliminating change influence based on the environmental data to obtain corrected data; determining the length of the preset phasor block according to the decimal number of the interference fringes and the integer series of the interference fringes under different wavelengths through a multi-wavelength decimal superposition method, obtaining the measurement data of the Korotkoff interferometer, carrying out the adaptive compensation of the phase shifter, correcting the length according to the uncertainty of the measurement data, and obtaining the phase of the Korotkoff interferometer. The output is a measurement result.

The invention provides a multi-light-source scattering water turbidity detection method, system, equipment and medium, and relates to the technical field of turbidity detection.The method comprises the steps that the influence of wavelength combinations on pollutant recognition performance is evaluated according to a preset fitness function, and an optimal wavelength combination is obtained; aiming at the optimal wavelength combination, adopting a reward function to learn a light source switching and irradiation strategy, and determining a light source control strategy; controlling a multi-wavelength light source to irradiate the water sample by adopting the light source control strategy to obtain scattered spectrum data; performing wavelet multi-scale decomposition and soft threshold filtering on the scattering spectrum data to obtain preprocessed scattering spectrum data; and establishing a quantitative relation model by adopting the preprocessed scattering spectrum data, and determining the pollutant concentration. Through wavelength combination optimization and intelligent learning of a light source control strategy, the accuracy and efficiency of water quality pollutant detection are remarkably improved, and an intelligent solution is provided for water quality monitoring.

The embodiment of the invention provides a light-emitting diode chip set, a backlight module of a display and an illumination module, and relates to the technical field of semiconductors, the light-emitting diode chip set generates white light and comprises at least one multi-wavelength chip, the multi-wavelength chip comprises an N-type semiconductor layer, a P-type semiconductor layer, a first light-emitting layer and a second light-emitting layer, wherein the first light-emitting layer and the second light-emitting layer are arranged between the N-type semiconductor layer and the P-type semiconductor layer and are stacked. The first light-emitting layer generates light of a first wave band through electroluminescence and excites the second light-emitting layer to generate light of a second wave band, the number of wavelengths contained in the light of the first wave band and the number of wavelengths contained in the light of the second wave band are both larger than or equal to 1 and smaller than or equal to 10, and a hole isolation area exists between the first light-emitting layer and the second light-emitting layer. The multi-wavelength chip has higher external quantum efficiency, the limitation of a traditional white light scheme (blue chip + yellow fluorescent powder or blue chip + green fluorescent powder + red fluorescent powder) can be broken through, the reliability is improved, and the service life is prolonged.