280 results about "Continuous spectrum" patented technology

The invention relates to a surface collapse monitoring system based on multi-parameter distributed optical fiber sensing, and the system comprises a monitoring module which comprises a plurality of fully distributed optical fiber sensors laid in a monitoring area, and an optical signal transmission and demodulation module which comprises a continuous spectrum laser, an optical switch, an optical amplifier, an optical filter, and a demodulation module. The data processing and analysis center comprises a data acquisition module and a collapse model modeling module, and the data acquisition module is used for performing acquisition and digital conversion on the optical signal demodulated by the demodulation module; the collapse model modeling module constructs a model according to the monitoring data and can predict the development trend of surface collapse; and the early warning and communication module communicates with a remote monitoring center. The monitoring system provided by the invention has the advantages of multi-parameter monitoring, high monitoring precision, suitability for large-scale laying, real-time response and the like, and can comprehensively and accurately reflect the real condition of surface collapse.

The invention discloses a pork quality grade lossless evaluation method based on hyperspectral imaging, and relates to the technical field of pork detection.The pork quality grade lossless evaluation method comprises the following steps that pork samples of different qualities are prepared, and standardization processing is conducted on the pork samples; performing chromatic aberration analysis on the pork samples with different qualities by using a colorimeter, and performing quality grade division on the pork samples with different qualities based on the analysis results of the muscle color, the fat color and the gloss of the pork. According to the pork quality grade lossless evaluation method based on hyperspectral imaging, reflection or transmission information of a pork sample in a plurality of continuous spectral wavebands is captured by using a hyperspectral imaging technology, accurate evaluation of the pork quality grade is realized by analyzing spectral data, higher-dimension data is provided, and the evaluation accuracy of the pork quality grade is improved. Meanwhile, rapid scanning can be achieved, the detection time is greatly shortened, the overall detection efficiency is improved, and pork quality monitoring is more efficient and timely.

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

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

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

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

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

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

The invention discloses a sensing integrated optical sensor and a preparation method thereof, and relates to the technical field of on-chip optical sensing. The device comprises a silicon substrate, an oxidation buried layer is deposited on the top of the silicon substrate, a first rectangular waveguide is installed above the oxidation buried layer, one end of the first rectangular waveguide is flush with the oxidation buried layer, a second rectangular waveguide is installed at the other end of the first rectangular waveguide, and a reverse tapering part is arranged at the end, facing the center of the oxidation buried layer, of the first rectangular waveguide. A forward tapering part is arranged at the end, away from the center of the oxidation buried layer, of the second rectangular waveguide. The hybrid integration of the metal plasma resonant cavity is realized based on on-chip optical interconnection, the quasi-continuous spectrum bound state is excited by strong coupling between resonance modes, the quality factor is greatly improved while high-sensitivity on-chip optical sensing is realized, the optical transmission loss is relatively low, and the application range is wide. The method has a practical application effect on the construction of a novel on-chip optical sensing system.

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

The present invention relates to the technical field of computational reconstructive spectrometers, and in particular, to a spectral segment computational reconstruction method, a spectrometer, and a device, which are used for performing spectral reconstruction on an object under test, of which a wavelength range falls within a set interval X. The spectral segment computational reconstruction method comprises: performing, in order, computational reconstruction on spectral segments of set intervals x1, x2, …, xk, to respectively acquire spectral feature information sets y1, y2, …, yk of the object under test in corresponding wavelength ranges; and performing splicing and reconstruction on the spectral feature information sets y1, y2, …, yk of the corresponding wavelength ranges, to obtain complete spectral feature information Y of the wavelength range of the object under test in the set interval X. The method can greatly reduce the computing power requirements on a computing device and reduce the bandwidth requirements on a single light source, so that a spectral sensing system can be further miniaturized and low in cost. In addition, customization and non-continuous spectrum analysis are facilitated, and product power consumption is reduced.

An optical metrology device includes a selectable pump arm that is used to produce a transient response in the target sample and a probe arm and may be configured to perform static Magneto-Optic Kerr Effect (MOKE) measurements or ellipsometry measurements when the pump arm is not selected, and time resolved (TR) MOKE measurements or ellipsometry measurements when the pump arm is selected. The optical metrology device may be further configured to perform opto-acoustic measurements when the pump arm is selected. A pulse shaper in the pump arm may be used to pulse duration, phase, or both, of the incident pump beam to enable measurement of the dependence of the magnetic dynamics on the pump pulse characteristics. The optical metrology device may be configured to operate at a single selectable wavelength or multiple wavelengths in a continuous or discontinuous spectrum.

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

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

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

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

The present disclosure is directed to systems and techniques for cable inspection and analysis using hyperspectral image data. For example, a method can include obtaining one or more hyperspectral images associated with a cable, wherein each hyperspectral image associated with the cable includes respective spectral information for a plurality of different spectral bands. The method can further include analyzing the one or more hyperspectral images to determine information indicative of one or more of a state of wear of the cable or damage to the cable. The plurality of different spectral bands can be continuous spectral bands of the hyperspectral wavelength range. Each hyperspectral image can be obtained for a different location along a longitudinal length of the cable and / or for a same location along a longitudinal length of the cable.

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

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

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

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

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

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

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

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

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

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

The invention relates to the technical field of measurement systems, in particular to a double-spectrum common-path OCT (optical coherence tomography) detection system which comprises a light source, an optical fiber coupler, a reference arm, a detector and a scanning detection part. The scanning detection part comprises a light path I, a light path II, a scanning part and an imaging monitoring light path; the optical fiber coupler is respectively connected with the light source, the light splitting and beam combining light path, the reference arm and the detector; a polarization regulator is arranged between the reference arm and the optical fiber coupler; the surface and the bottom of a to-be-measured object are scanned at the same time, a continuous spectrum is divided into a front part and a rear part, one part of the spectrum after light splitting is used for scanning the surface of the to-be-measured object, the other part of the spectrum is used for scanning the bottom or other positions of the to-be-measured object, and beam combination is conducted through the beam combiner before a light path is scanned after light splitting. It is guaranteed that light of different spectrums can simultaneously reach the object to be measured in the scanning process, and simultaneous calculation of the two spectrums can be achieved by arranging the two detectors.

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

The invention relates to the technical field of super-continuum spectrum generation, and particularly provides a cross-octave super-continuum spectrum light source generation device and optical equipment, the cross-octave super-continuum spectrum light source generation device comprises a focusing lens and at least one group of solid structures, and ultrashort pulse fundamental frequency light enters the solid structures after being tightly focused; incident fundamental frequency light is firstly subjected to self-phase modulation in a first nonlinear action medium, a first super-continuum spectrum with a certain spectral width at the central wavelength of the fundamental frequency light is generated under the cross-phase modulation action, and except for the central wavelength, the first super-continuum spectrum is transmitted through a frequency doubling crystal; the spectrum at the central wavelength passes through a frequency doubling crystal to realize ultrashort pulse frequency doubling light, the frequency doubling light with high peak intensity generates a self-phase modulation effect in a second nonlinear action medium to generate a second super-continuum spectrum at the central wavelength of the frequency doubling light, and the two super-continuum spectrums form a cross-octave super-continuum spectrum light source; the super-continuum spectrum generation with high pulse energy is realized, the super-continuum spectrum generation range is further widened, and the multi-spectrum super-continuum spectrum generation is realized.