270 results about "Spectrum light" patented technology

The invention provides a soil stress monitoring method based on a distributed echo wall optical fiber cavity array, which innovatively utilizes a plurality of echo wall structures to realize distributed multi-point monitoring of soil stress in the same optical fiber, and accurately reflects the spatial distribution of the soil stress by monitoring the resonant frequency change of the echo wall structures; the method comprises the following steps: testing connection; monitoring the resonant frequency of the echo wall of the optical fiber echo wall array sensor; a wide-spectrum light source is adopted to excite an optical fiber to generate an optical signal, after the optical signal is transmitted by the optical fiber, when the optical signal passes through echo wall structures with different diameters of the optical fiber echo wall array sensor, the optical signal resonates at resonant frequencies of the echo wall structures, so that resonant trapped waves on multiple frequencies appear in a transmitted spectrum measured by a spectrograph; monitoring the resonant frequency change of the echo wall structure caused by the soil stress, and obtaining the spatial distribution information of the soil stress.

The invention relates to the technical field of nervous system dysfunction, in particular to a nerve regulation and control system for degenerative disease treatment based on multi-modal physiological feedback, which comprises a central processing unit, an optical radiation applicator, a mechanical vibration applicator, an integrated biological signal sensing array and a man-machine interaction module, cooperative stimulation is applied by using a multispectral light source and a broadband vibrator, and multi-dimensional physiological signals such as heart rate variability, myoelectricity, galvanic skin and the like are monitored in real time through a sensor array. A multi-parameter adaptive control algorithm built in the central processing unit can dynamically and intelligently adjust stimulation parameters based on the feedback signals to form an accurate personalized treatment closed loop. Meanwhile, the safety monitoring module based on the biological thermal model ensures the safety boundary of the treatment process. According to the invention, intelligent, self-adaptive and non-invasive treatment of nerve dysfunction is realized.

The invention discloses a fiber optic spectrometer for film thickness measurement. The fiber optic spectrometer comprises a control and data processing module, a detection module, a light source module and a light splitting module, the optical fiber coupling module couples wide-spectrum light of the light source module and then guides the light to the light splitting module; the light splitting module adopts a cross-type Czerny-Turner light path structure, and performs collimation, dispersion and focusing processing on light beams in sequence; the detection module is used for receiving the optical signal processed by the light splitting module and forming an interference pattern; and the control and data processing module is used for driving acquisition, completing pixel-wavelength calibration and calculating the film thickness based on an acquired interference pattern. According to the optical fiber spectrometer measurement method for film thickness measurement, the problem of low accuracy of real-time film thickness detection in the prior art is solved.

The invention discloses a method and a system for detecting internal defects of a bathroom glass door based on multispectral imaging. The method comprises the following steps: carrying out multi-view and multiband image acquisition on the bathroom glass door by adopting a combined spectrum light source; performing adaptive reflection correction on the acquired image to generate a multi-band basic image; optimizing the multi-band basic image through a hybrid denoising algorithm to generate a multi-band detection image; performing multi-modal feature extraction and fusion on the multi-band detection image to obtain a multi-modal fusion feature vector, inputting the multi-modal fusion feature vector into a multi-feature fusion model combining a convolutional neural network and a support vector machine, and identifying and grading defect types by adopting a dual-stage feature enhancement-classification architecture; and outputting a defect type and severity grading result to a terminal in real time. The method is used for solving the technical problems of visual angle and spectrum blind areas, insufficient interference suppression capability, wave band crosstalk, feature deficiency and poor small sample generalization in existing bathroom glass door defect detection.

A camera system. The camera system includes a sensor array; an infrared (IR) illumination system configured to emit active IR light in an IR light sub-band; a spectral illumination system configured to emit active spectral light in a spectral light sub-band; one or more logic machines; and one or more storage machines. The storage machines hold instructions executable by the one or more logic machines to address the sensor array to acquire an ambient image; based on at least the ambient image, activate the IR illumination system and address the sensor array to acquire an actively-IR-illuminated depth image; and based on at least the actively-IR-illuminated depth image, activate the spectral illumination system and address the sensor array to acquire an actively-spectrally-illuminated spectral image.

The invention relates to the technical field of spectrograph monitoring, and provides a spectrograph operation monitoring method and system, and the method comprises the steps: periodically guiding a built-in spectrum-stabilized light source optical signal to enter a light path at a conventional measurement interval, and obtaining background reference spectrum data; extracting a feature monitoring interval corresponding to the specific optical component, and calculating an interval form feature value; comparing the reference value to generate a component state deviation quantization parameter, and combining a fault tree model to diagnose the running state. And through standard sample verification, a differential spectrum error distribution mode can be analyzed to assist in fault judgment. The system comprises an optical guide, an interval analysis engine, a component state mapping library and a diagnosis output and standard sample verification module. According to the monitoring method, measurement does not need to be interrupted, fault components can be accurately positioned, the problems that traditional monitoring is high in cost and low in efficiency are solved, the measurement accuracy of the spectrograph is improved, and the service life of the spectrograph is prolonged.

Disclosed herein are approaches for measuring lateral dopant concentration and distribution in high aspect radio trench structures. In one approach, a method may include providing a substrate including a plurality of alternating vertical structures and trenches, and removing a portion of the substrate to expose a sidewall of the first vertical structure of the plurality of structures. The method may further include directing a spectrometry beam into the sidewall of the first vertical structure to determine a dopant characteristic of the first vertical structure, wherein the spectrometry beam is delivered perpendicular to a plane defined by the sidewall of the first vertical structure.

The invention discloses a gas detection precision improving method based on a multi-algorithm fusion framework. A photonic crystal resonant cavity and a tunable band-pass filtering structure are integrated in a Fourier transform spectrometer light path; collecting a wide-spectrum light intensity signal, and constructing a spectral signal database in combination with the enhancement characteristic and the filtering characteristic of the resonant cavity; zero calibration and dynamic baseline deduction operation are carried out, and self-adaptive variational mode decomposition and wavelet transform are adopted to carry out signal denoising on the spectral signals; an environment compensation model is established, and an Arrhenius type correction factor is adopted to suppress water vapor cross interference; constructing an RLS and fuzzy control combined hybrid adaptive filter; separating aliasing spectral signals by adopting a non-negative matrix factorization algorithm; establishing a quantitative relation model; in the online concentration prediction process, the initial concentration value is subjected to recursive optimization by using a hybrid adaptive filter, the deviation is continuously corrected through an environment compensation model, and an accurate concentration value is output. The method can significantly improve the accuracy and stability of multi-gas detection.

The invention discloses a multispectral photoelectric sand meter signal fusion and sand content calculation method and system. The method comprises the following steps: collecting multiple groups of different sand contents, photoelectric signal data of a multispectral photoelectric sand meter, corresponding sand content data, temperature data and water depth data; preprocessing the original photoelectric signal; performing feature extraction on the curve of each column of processed signal values changing along with the sand content; performing curve fusion; an improved particle swarm optimization algorithm is adopted to automatically optimize the positions of segment points and the polynomial order of fitting of each segment, and the function relation between the fusion value of each curve signal and the sand content in the standard environment is subjected to segment fitting; in a field test environment, temperature and water depth compensation is carried out on the signal values, and a sand content value corresponding to the test sand sample is reversely solved by utilizing different signal data based on a function relationship; sand content data is manually measured by combining with a field sand sample, and a sand content result of the sand meter is dynamically corrected by scattering reference light of different wavebands. According to the invention, rapid output and correction of the sand content of the to-be-measured liquid can be realized.

The invention provides a defect detection method and system for a liquid crystal display screen. Belongs to the crossing technical field of photoelectric display detection, machine vision and intelligent manufacturing. The method comprises the following steps: performing multiband irradiation on the liquid crystal display screen by using a multispectral light source, driving the liquid crystal display screen to perform multi-angle movement through a precise displacement platform, acquiring multi-modal image data of the liquid crystal display screen in a static state and a dynamic state in combination with a high-speed camera, and performing preliminary image preprocessing; generating a preprocessed image data set; through automatic detection equipment constructed by a multispectral light source, a high-speed camera and a precision platform, and a matched self-adaptive decoupling algorithm and a defect and process association database, static and dynamic multi-modal images of the liquid crystal display screen can be accurately acquired, process noise and real defects are effectively separated, and the defect detection precision is greatly improved.

Provides is an ultra-microlight transmission device using secondary electrons according to various embodiments of the present invention for implementing the above-objects. The ultra-microlight transmission device includes a light source module configured to generate light, a housing which includes an interior space and performs spectroscopy and diffuse reflection on light introduced into the interior space, a first filter unit configured to convert the spectroscopic and diffusely reflected light into monochromatic light, and a second filter unit configured to cause diffraction and interference for the converted light.

The application discloses a kind of gas isotopic ratio measurement system and method, it relates to gas isotopic measurement technical field, in the system, double-layer sealed panning gauge is used to obtain the mixed gas to be measured, after energization, make the mixed gas to be measured occur panning discharge, produce the light signal containing each isotopic characteristic spectrum;Double-layer sealed panning gauge includes gauge tube, coaxially arranged inner layer sealing structure and outer layer sealing structure;Lens group is used to collect and focus light signal;Optical fiber is used for remote transmission light signal collected by lens group;Spectrometer is used for the light signal transmitted by optical fiber is spectrally resolved, forms the spectrum according to wavelength development;Photoelectric detector is used to convert spectrum into electrical signal;Computer is used to determine the proportion of each isotopes in the mixed gas to be measured according to electrical signal.The application realizes redundancy protection by double-layer sealing structure, ensures that discharge condition is stable under harsh environment, prevents gas leakage, realizes high-precision and safe measurement of gas isotopic ratio under high-risk scene.

A laser ranging method and device using the autocorrelation characteristics of light intensity random noise, the method comprising: step S1, a wide spectrum light source emits laser light, which is divided into a first light beam and a second light beam by a ranging probe, and the first light beam is defined as a reference light beam; step S2, the second light beam is emitted to a target object to be measured, and a light beam reflected by the target object to be measured is obtained and defined as a signal light beam; step S3, the reference light beam and the signal light beam are coupled to form a coupled light beam; and step S4, the coupled light beam is processed to obtain absolute distance information of the target object to be measured to the light emitting end surface of the probe. The device obtains absolute distance information of the target object to be measured based on light source intensity noise. The present application has the advantages of high time resolution and high precision measurement.

The application discloses a kind of time division multiplexing three-axis wide spectrum light source resonant type fiber-optic gyroscope detection systems and methods, belong to gyroscope optical system design field.System is constituted by optical system and signal detection system, and optical system includes a wide spectrum light source, a push-pull Y waveguide, a circulator, three mutually orthogonal transmission type fiber ring resonant cavity, two sections of delay optical fiber and a photoelectric detector;Signal detection system includes modulation and demodulation module, time division decoupling module and low-pass filter module.Three transmission type fiber ring resonant cavities are sequentially connected, and the time of optical signal reaching three fiber ring resonant cavities is different by being set delay optical fiber between adjacent two transmission type fiber ring resonant cavities.The application ingeniously designs three fiber ring resonant cavities to form three-axis integrated structure.In this way, the time difference of three-axis signals is utilized, and multiplexing in time domain can be realized without adding additional devices.

The application provides a detection device and method for fasteners and a fastener, and belongs to the technical fields of precision manufacturing and industrial visual detection. The method comprises the following steps: performing multi-spectrum active illumination configuration on a fastener production line to generate multi-spectrum illumination parameter data; deploying a multi-spectrum light source array according to the multi-spectrum illumination parameter data to construct a multi-spectrum active sensing network; and through the fusion application of multi-spectrum active illumination and neural radiation field three-dimensional reconstruction technology, the recognition accuracy of the surface defects of the fastener is significantly improved, the geometric size measurement is realized to the level of ±0.003 mm, and the detection rate of the micro defects is improved to 99.5%.

The invention relates to the technical field of optical engineering, and discloses a multispectral fusion optical coherence tomography imaging method, which adopts a multispectral light source to cooperatively collect OCT signals, fully utilizes the absorption / scattering characteristic difference of different spectrums on different components of a sample, obtains richer sample structure and component information, and improves the imaging accuracy. A data basis is provided for follow-up accurate identification of sample components, synchronism and wavelength accuracy of multispectral signals are ensured through synchronous driving control and accurate spectrum calibration, and information distortion caused by spectrum deviation is avoided; a registration algorithm based on SIFT feature point matching is adopted, high-precision spatial alignment of multispectral OCT images is achieved, the problem of dislocation between different spectral images is solved, the whole imaging process gives consideration to imaging efficiency and imaging quality, the imaging time is shortened through a synchronous collection mode, the method is suitable for dynamic sample imaging, parameter adjustability of all modules is high, and the method is easy to implement. Flexible adjustment can be performed according to different sample characteristics, and the application range of the method is expanded.

The invention provides a coffee particle color value detection method and a colorimeter. The method comprises the steps that n color cards are irradiated through a first spectrum light source; the light detector receives the reflected light of the n color cards on the first spectrum light source to form first-class images of the n color cards; respectively acquiring image brightness values of the n color cards according to the first type of images of the n color cards; obtaining color card values of n color cards and a preset function model; according to the image brightness values of the n color cards, the color card values and a preset function model, performing fitting to obtain parameter values of the preset function model; irradiating the coffee particles through a first spectrum light source; light reflected by the coffee particles to the first spectrum light source is received through a light detector to form first-class images of the coffee particles; acquiring an image brightness value of the coffee particles according to the first-class image of the coffee particles; and calculating the chromatic value of the coffee particles according to the image brightness value of the coffee particles, a preset function model and the parameter value. According to the invention, the measurement accuracy and consistency of the chromatic value can be improved.

This invention relates to the field of information security technology, specifically to a blockchain-based anti-tampering system for marine environmental data. The system includes a wave crest localization module, a waveform feature extraction module, a fingerprint generation module, a tag mapping module, and an on-chain storage module. In this invention, deep analysis of seawater multispectral light intensity waveform data is performed to extract wave crest curvature geometric indices and wavelength differences, constructing a set of morphological parameters. Component coupling weights are used to generate an on-chain fingerprint sequence reflecting the constraints of water quality components. Dynamic state tags are generated by mapping instantaneous flow velocity to tidal cycle flow velocity ranges. The fingerprint sequence and dynamic tags are encapsulated into blocks and subjected to fluid dynamic continuity verification. A distributed ledger consensus mechanism is used to lock the physical temporal relationship of the data, realizing a transformation from simple numerical recording to multi-dimensional logical verification of environmental characteristics, effectively avoiding the tampering risks associated with centralized storage.

The invention belongs to the technical field of simulation testing, and particularly relates to an intelligent indoor simulation testing device and method for the soaking performance of a cooling material. Comprising a shell, at least four equipment shells, a multispectral light source simulation system, an internal heat source system, an intelligent temperature control and humidity control system, a multidimensional sensor array and an automatic test and data analysis platform, each equipment shell is arranged at the bottom end in the shell, and a to-be-tested cooling material is arranged on the outer surface of each equipment shell; the multispectral light source simulation system is arranged at the top end in the shell, the internal heat source system comprises at least four internal heat sources arranged in the equipment shells, the intelligent temperature control and humidity control system is arranged on the side face in the shell, and the multidimensional sensor arrays are arranged in the equipment shells. And the automatic test and data analysis platform is arranged outside the shell. According to the invention, the automatic parallel test of various cooling materials is realized, and the test efficiency, the test accuracy and the test applicability are improved.

An optical system (1) for a multispectral optical sensor (10) comprises: a diffusing element (2); a detector (3) comprising a detection plane (30); an optical element (4) having an entrance side (41) and an exit side (42), located between the diffusion element (2) and the detector (3); and an aperture (5) located at the incident side (41) of the optical element (4) between the diffusing element (2) and the optical element (41). The optical element (4) is configured to image at least one field of view (100) to a detection plane (30). The detection plane (30) is arranged in a focal plane of the optical element (4). The diffusing element (2) is configured to scatter light from the field of view (100), generating a blurred image (90) of the field of view (100) in the detection plane (30).

An Offner spectrometer for use in a multi-slit hyperspectral imaging system for imaging a remote object includes a first surface that is a transmissive surface having a narrow slit receiving light from a multi-spectral light source, a second curved transmissive surface receiving light from the first surface, a third curved reflective surface receiving light from the second surface, a fourth reflective surface that is a curved surface with a grating receiving light from the third surface and diffracting and reflecting light, a fifth surface that is curved reflective surface receiving light from the fourth surface, a sixth curved transmissive surface receiving light from the fifth surface, and a seventh surface that is a focal plane of the Offner spectrometer receiving light from the sixth surface. Each curved surface has X and Y prescriptions that are decoupled.

The application provides an article visual recognition method and system for a multi-pass automatic sorting platform of a vertical warehouse, and relates to the technical field of visual recognition. Before an article moves rapidly into a main recognition area, a multi-spectrum light source with different spectral components is controlled to irradiate the article in a pulse form, and a multi-spectrum response image is captured synchronously to obtain spectral response characteristics of the article surface to different spectral components. Based on the spectral response characteristics, the optical characteristics of the article surface are accurately determined. According to the determined optical characteristics, the illumination parameters of the main recognition area and the exposure parameters of a main image acquisition unit are intelligently adjusted. Image acquisition, feature extraction and identity determination are performed according to the adjusted illumination and exposure parameters, which can significantly improve the recognition accuracy and stability of the article, thereby improving the efficiency and reliability of the entire automatic sorting platform.

The invention discloses an MIM waveguide sensor based on Fano resonance and an application method of the MIM waveguide sensor, and relates to the technical field of optical devices. A metal coating is plated on the substrate; a U-shaped resonant cavity is etched on the metal coating, and a metal-medium-metal MIM straight waveguide is etched below the U-shaped resonant cavity; wide-spectrum light enters from the left side of a straight waveguide and exits from the right side of the straight waveguide, and when resonance is excited, light beam energy corresponding to the resonance wavelength is coupled into a U-shaped resonant cavity, so that the transmissivity of the wavelength is reduced, and a transmission peak is formed; the sensor has a wide and stable low refractive index detection range.

The application discloses an arrayed chemical molecule detection system based on an organic electrochemical transistor, which comprises a multichannel OECT sensor array, a full-spectrum light source, a detector, a main control circuit and a motion module. The full-spectrum light source irradiates the sample in the multi-well plate, the detector detects the full-spectrum absorbance of the sample in the multi-well plate, the main control circuit controls the electrode voltage of the OECT in the multichannel OECT sensor array, and the electrode current of the OECT in the multichannel OECT sensor array is detected. The application can simultaneously measure the full-spectrum absorbance data of the sample and the current data of all channels of the multichannel OECT sensor array under different voltages, so that the biochemical molecule concentration and the optical characteristics are simultaneously detected, the incubation and other links are saved, the current signal generated by electrocatalysis can be detected, the current concentration is calculated according to the signal, and a curve diagram is displayed. The application is widely applied to the technical field of molecule detection.

The application discloses a coaxial spectrum confocal imaging system, comprising a light source module, a dispersion lens module, a spectrum imaging side slit device and a spectrometer; the light source module provides a wide-spectrum light beam and makes the light beam enter the dispersion lens module through a light source side slit device; the dispersion lens module makes the incident light sequentially pass through a first dispersion lens module, a light splitting device and a second dispersion lens module, and then is shot to a surface of a measured object, and also makes the light reflected by the surface of the measured object sequentially pass through the second dispersion lens module, is reflected by the light splitting device and passes through a third lens module, and then is converged to the spectrum imaging side slit device; the spectrometer images the light of different wavelengths converged to the spectrum imaging side slit device. The application overcomes the shielding problem of the prior art when measuring a relatively steep pit or hole by the mode that the incident light path and the reflected light path share a second dispersion lens module coaxially, and realizes the measurement of a deeper pit on the surface.

The invention provides a hyperspectral water quality detection device and a hyperspectral water quality detection method, and aims to realize water quality detection with small volume, high detection speed, high real-time performance and high precision. The device comprises a water tank, a black sealing box embedded into a transparent sample box, a hyperspectral camera, a full-spectrum light source and a processing module. A water sample is irradiated by a light source through a transparent sample box, a hyperspectral camera collects spectral data of the water sample, an embedded processing module preprocesses the data, and feature extraction and multi-parameter prediction are performed by using a water quality analysis algorithm based on a one-dimensional convolutional neural network and a multi-head attention structure. By constructing a water quality spectrum database to train the model, real-time parallel analysis and accurate prediction of spectrum data in a specific area can be realized, and predicted water quality parameters include but are not limited to indexes such as COD, turbidity, total nitrogen, total phosphorus, ammonia nitrogen and chlorophyll. The device can realize high-precision and multi-parameter water quality real-time detection, and is small in size, fast in response and wide in application range.

The present application relates to the technical field of perovskite photoelectric devices and flat plate optical waveguide, and particularly relates to a method for monitoring the quality and uniformity of perovskite thin film. The method comprises: providing a device to be measured comprising at least a glass substrate and a perovskite layer; coupling light from a wide-spectrum light source into the glass substrate through a multimode optical fiber to excite a loss mode resonance (LMR) effect; collecting a transmission spectrum after a polarizer through a spectrometer; extracting the peak position, intensity and half-peak width of the LMR characteristic peak. The red shift of the peak position indicates thickness change, the intensity decay and the half-peak width broadening indicate quality decline. Multi-point scanning can evaluate uniformity. The present application does not require vacuum equipment, is non-destructive, fast, low-cost, can be integrated into the production line, and solves the problem that the existing detection method cannot meet the needs of large-scale production.

The invention belongs to the technical field of electrochemistry and spectrum detection, and particularly relates to a double-chamber three-mode in-situ electrochemical infrared spectrum electrolytic tank. The double-chamber three-mode in-situ electrochemical infrared spectrum electrolytic tank comprises an electrode system, a double-chamber electrolytic tank main body, a bottom ring with an infrared light-transmitting prism, a first prism and a second prism, the surface of the second prism is plated with a noble metal thin layer; the interface surface of the working electrode is attached to the surface of the first prism to form a micron electrolyte thin layer for an external reflection mode; a noble metal thin layer on the surface of the second prism is used as a working electrode for an internal reflection ATR mode; the interface surface of the working electrode is attached to the surface of the precious metal thin layer on the surface of the second prism to form a micron electrolyte thin layer which is used for an internal reflection OTTO thin layer mode. By optimizing electrode structure and spectrum light path cooperative coupling, the problem that a traditional coupling technology is single in test mode is solved, and the bottleneck that time resolution and signal-to-noise ratio are difficult to consider at the same time is broken through.

The invention provides an intelligent titrator integrating multispectrum and Internet of Things. The intelligent titrator comprises a titration main body, a multi-specification burette assembly, a multispectrum detection module, an intelligent processing module, an Internet of Things module, a light shielding assembly and a man-machine interaction module. The multi-specification burette assembly is provided with a specification identification device which can automatically identify the specification of the burette and match parameters; the multispectral detection module comprises a high-resolution image sensor and a full-spectrum light source and is used for collecting multispectral data of a solution; the intelligent processing module is integrated with a self-learning algorithm unit and supports a user-defined end point judgment model; and the Internet of Things module realizes data cloud storage, remote monitoring and multi-device networking management. According to the instrument, the accuracy and adaptability of end point judgment are improved through multispectral detection and an intelligent algorithm, multi-specification design and the function of the Internet of Things are combined, the application range is widened, the process is simplified, intelligent data management is achieved, laboratory operation cost investment is reduced, and intelligent development of analytical instruments is promoted.

Exemplary diagnostic systems and methods involve delivering multispectral light to a tissue of a patient, detecting light from the tissue, and analyzing the tissue based on the detected light. Light delivery can be achieved using a multi-dispersion element monochromator apparatus that includes a broad spectrum light source, a rotating body, and multiple dispersion elements in operative association with the rotating body.