1043 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 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.

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.

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 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 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 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 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 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.

The invention provides a multispectral radiation temperature measurement method and system, and belongs to the field of signal acquisition and processing in an infrared radiation temperature measurement technology. The problems of poor inversion precision and applicability of multispectral radiation temperature measurement are solved. The multispectral radiation temperature measurement method comprises the following steps of: measuring radiation information of the surface of a to-be-measured target by using a multi-wavelength pyrometer; the beam splitting system obtains radiation information of different spectrum channels; photoelectric conversion: converting the optical signal into an electric signal; constructing a target equation and a constraint optimization condition according to the brightness temperature model; carrying out multispectral data processing by utilizing an improved multi-population mixed pigeon inspired optimization algorithm; and the final real temperature and emissivity values are obtained. The device is mainly used for multispectral radiation temperature measurement.

The invention provides a food pollution detection method based on multi-wavelength spectrophotometry, and the method comprises the steps: transmitting light in a series of wavelength ranges to a food sample through a tunable multi-wavelength light source system, generating spectral response, collecting the spectral response through a high-resolution spectrometer, and forming a multi-dimensional spectral image, a deep learning algorithm is used for analyzing, identifying and distinguishing subtle spectral differences between natural components and potential pollutants in a food sample, a preliminary identification result is obtained, a self-adaptive wavelength selection mechanism is implemented, wavelength output of a light source is dynamically adjusted, spectral response data is obtained, and the spectral response data is compared with a preset food safety standard database. According to the technical scheme provided by the invention, natural components and potential pollutants in a food sample are efficiently and accurately recognized, and the sensitivity, specificity and accuracy of pollutant detection are remarkably improved.

The invention discloses an automatic quality monitoring system based on a nickel hydrazine nitrate manufacturing technology, and relates to the technical field of nickel hydrazine nitrate manufacturing. The system has the functions of integrating a multi-wavelength filter wheel module, a process stability monitoring module and the like, and full-parameter real-time monitoring of the reaction process is realized. A Savitzky-Golay filtering algorithm is adopted to calculate a reaction rate, an XGBoost model is combined to predict a quality grade, and a hierarchical control strategy is designed to cope with different quality risks. And the risk assessment module simulates a crystal growth process by using a reaction kinetic model, identifies key risk factors, constructs a risk matrix to divide production areas, and generates an assessment report. Spectral data are corrected through a three-dimensional compensation matrix, the type of a quality problem is judged by adopting a double-layer fusion algorithm, and closed-loop control is realized in combination with a PID controller and an emergency emission program. A monitoring interface displays key parameters and early warning information in real time, dynamic adjustment of process parameters is supported, the production process is optimized, and the product quality and the production efficiency are improved.

The invention discloses an on-chip optical interconnection and switching chip and an application system thereof. Wherein the on-chip optical interconnection and exchange chip is integrated by a power divider, a bidirectional optical transceiver unit and an optical switch unit; the application system of the on-chip optical interconnection and switching chip comprises a multi-wavelength light source used for generating multi-wavelength optical carrier signals, a transceiving unit control and clock module used for bidirectional transceiving unit feedback / amplifier control and clock synchronization, and an optical switching control module used for switching an optical switching unit switching link. The chips and the modules are used for realizing optical interconnection and optical switching of the special electrical computing chip ASIC. According to the invention, bidirectional optical interconnection and exchange of special computing electric chips such as a CPU, a GPU, a DPU and the like can be realized by utilizing an on-chip optical interconnection and exchange technology, the interconnection rate is high, the exchange switching time is short, computing power cluster networking oriented to artificial intelligence application can be supported, and the application prospect is good.

The invention discloses an alveolar bone noninvasive detection method based on a spatial offset Raman spectrum technology. The method comprises the following steps: S1, selecting a first near-infrared excitation wavelength and a second near-infrared excitation wavelength to form a multi-wavelength tunable excitation light beam; s2, synchronously acquiring a first group of original Raman spectrum signals under a plurality of spatial offset distances; s3, acquiring a second group of original Raman spectrum signals by using an acousto-optic composite modulation Raman enhancement mechanism; s4, inputting the soft tissue optical parameter set into a joint inversion equation; s5, obtaining a deep alveolar bone Raman characteristic spectrum data set; s6, training an alveolar bone tissue health recognition model; and S7, based on the alveolar bone tissue health recognition model, performing health state judgment on the deep alveolar bone Raman characteristic spectrum data set acquired in real time, and generating an alveolar bone health assessment result. The early screening and dynamic monitoring capabilities of alveolar bone diseases are greatly improved, and the clinical working efficiency of doctors and the doctor-seeing experience of patients are remarkably optimized.

The invention provides a wafer production method and system based on image segmentation, and relates to the technical field of wafer production, and the method comprises the steps: constructing a multi-region time-space thermal response matrix through image segmentation, and automatically determining an optimal temperature disturbance quantity in combination with a thermal diffusion equation, thereby achieving the precise marking of a thermal diffusion abnormal region; then multi-wavelength measuring light is applied to the marked area, the light intensity is dynamically corrected, and the recognition sensitivity of different depth and morphology defects is enhanced; micro-vibration and light response data are introduced, a pre-training defect prediction model is utilized to extract multi-modal features, and a preliminary defect index is generated; and finally, multiplication correction is performed by adopting the polarization degree of the polarization structured light and the phase delay, so that a real defect signal can be amplified, noise interference can be suppressed, the detection accuracy, discrimination and robustness are remarkably improved, and the production quality of wafers is improved.

The invention belongs to the technical field of laser application, and discloses a feedback type multi-wavelength optical fiber laser shaping and amplifying system which comprises a laser light source, an optical fiber frequency doubling device and a laser shaping and amplifying mechanism. The laser shaping and amplifying mechanism comprises a laser shaping and amplifying branch or more than two laser shaping and amplifying branches which are arranged in sequence; the laser shaping and amplifying branch comprises a feedback type laser shaping device and an optical fiber gain amplifying device; the optical fiber frequency doubling device is used for carrying out selective frequency conversion on fundamental frequency laser output by the laser light source; the feedback laser shaping device is used for carrying out waveform shaping on target wavelength laser; and the optical fiber gain amplification device is used for performing gain amplification on the shaped target wavelength laser. The device has the advantages of being simple in structure and high in expansibility, is suitable for being used in an optical fiber laser application system, and is used for modulating laser frequency, improving multi-wavelength laser waveforms and improving multi-wavelength laser output energy.

The invention discloses a multi-wavelength high-color-difference metasurface color holographic device and a design method thereof.The method comprises the steps that firstly, a nano-column super unit is simulated and then serves as training data of a four-port neural network model, a well-trained forward prediction model is obtained, a prediction response database is constructed, and the prediction response database is used as a prediction result; and according to the phase demand of the target image, a corresponding unit structure is matched in the prediction response database, the multi-wavelength high-chromatic-aberration metasurface color holographic device is designed, and full-mode electromagnetic simulation is carried out. According to the scheme, when holographic imaging is achieved, the RGB energy efficiency is improved, and positive illumination high-efficiency metasurface color holographic imaging can be effectively achieved. The method belongs to a non-filtering type multi-wavelength high-color-difference metasurface color holographic device design method, information of three channels of red, green and blue is coded into sub-pixels at the same time, each sub-pixel responds to RGB light, and compared with a traditional mode that RGB sub-pixels respond respectively, the space utilization rate and energy efficiency of three primary colors are greatly improved.

The invention discloses a high-precision methane infrared spectrogram intelligent detection method and system, and relates to the field of infrared spectrum determination.The method comprises the steps that multi-wavelength signals of a target detection area are collected, the change process of the multi-wavelength signals is continuously monitored, a change sequence of the wavelength signals is obtained, the change sequence is analyzed, and a methane infrared spectrogram is obtained. Obtaining a first time sequence characteristic of the main absorption wavelength signal relative to the first reference wavelength signal and a second time sequence characteristic of the main absorption wavelength signal relative to the second reference wavelength signal, and determining a judgment threshold according to real-time change states of the first reference wavelength signal and the second reference wavelength signal; and when the change of the main absorption wavelength signal is detected to be earlier than the change of any reference wavelength signal and the change amplitude of the main absorption wavelength signal is greater than a judgment threshold value, calculating the methane concentration value according to the change time difference and the change amplitude ratio of the main absorption wavelength signal and the reference wavelength signal. By implementing the method, the response time of methane leakage identification can be reduced.

The invention relates to the technical field of water vapor concentration detection, and discloses a water vapor concentration online detection method and system based on a multi-wavelength infrared absorption spectrum, and the method comprises the steps: controlling an infrared light source module to emit pre-modulated light, enabling the pre-modulated light to pass through a gas chamber module, inputting the pre-modulated light into a photoelectric detection module, and converting the pre-modulated light into a sample electric signal; acquiring temperature data and pressure data at a preset position of the air chamber module in real time; calculating to obtain an initial differential absorption signal by using the sample electric signal and combining a Lambert-Beer law; based on the temperature data and the pressure data, performing temperature and pressure dynamic compensation on the initial differential absorption signal by using a pre-stored compensation database to obtain a target differential absorption signal; and determining the water vapor concentration according to the target differential absorption signal. According to the invention, the effects of improving the measurement precision and the measurement stability of the water vapor concentration and measuring the water vapor concentration online in real time can be achieved.

The invention belongs to the technical field of spectrum separation identification and spatial information analysis, and discloses a flame environment-oriented multi-depth spatial spectrum light ray measurement system, which comprises a light ray collection module used for converging dynamic flame radiation light rays; the spectrum separation module is used for spatially separating a plurality of different wavelengths of the flame radiation light converged by the light collection module to form multi-wavelength radiation light with spatially separated wavelengths; the space light splitting module is used for uniformly splitting the multi-wavelength radiation light subjected to wavelength space separation into a plurality of light beams and transmitting the light beams to the multi-spectral imaging unit; the multispectral imaging unit comprises a plurality of imaging modules, and each imaging module is used for receiving radiation information of one light beam and performing imaging; and the light analysis module is used for calculating and obtaining multi-wavelength original radiation information of different depth positions of the flame. According to the invention, multi-wavelength radiation information of different depths in a flame three-dimensional space can be obtained, and a basis is provided for establishing a flame environment temperature field model.

The invention discloses a microcell X-ray diffraction system and method and electronic equipment, and relates to the technical field of diffraction. Comprising an X-ray source, a detector and a bent crystal. The diffraction surface of the curved crystal is tangent to the Rowland circle, and the curved crystal is used for receiving diffracted beams. Diffracted beams meeting the Bragg diffraction condition pass through the bent crystal and then are collected by the detector; and the detector determines the structural information of the to-be-detected sample according to the diffraction information. In the system, light with different wavelengths is spatially separated through the bent crystal, overlapping of diffraction peaks is avoided as much as possible, the problem of errors caused by wavelength dispersion in multi-wavelength X-ray diffraction is solved, structure information of different depths of a sample can be obtained at the same time, and the requirements of mu XRD and fast XRD are met; besides, the bent crystal realizes the function of converting light spots on the sample to be detected into a plurality of light spots on a Rowland circle, the manufacturing difficulty is low, and practical application is facilitated.