113 results about "Band spectrum" patented technology

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

The invention relates to the field of unmanned aerial vehicle multispectral remote sensing image analysis and inversion model construction based on a machine learning algorithm, in particular to a temperate zone typical grassland surface biomass estimation method. A multi-rotor unmanned aerial vehicle is used for carrying a multi-spectral sensor, multi-band spectral reflection information of a pasture is obtained from a near low altitude, a physical spectral reflection model is constructed to calculate real and accurate reflectivity data of a same-band spectrum, vegetation coverage, soil attributes and pasture canopy information of a sampling area are recorded, and the earth surface biomass is measured by cutting a sample; according to the method, a plurality of vegetation indexes and a 3D space model are combined with a multi-modal input structure, data enhancement and small sample learning strategies are adopted, a biomass inversion model is constructed through an MANBA machine learning framework, the precision of grassland biomass estimation is improved, and effective technical support is provided for grassland ecological monitoring and management.

The invention relates to the technical field of soil detection, and particularly discloses a rapid soil heavy metal pollution detection method based on a spectrum technology, which comprises the following steps: obtaining dual-band spectral reflectivity data and temperature and humidity parameters of to-be-detected soil, carrying out spectral characteristic compensation, generating a spectrum curve, and obtaining environment compensation parameters; extracting spectral characteristic parameters from the spectral curve, combining the spectral characteristic parameters to construct a multi-dimensional spectral characteristic matrix, and inputting the multi-dimensional spectral characteristic matrix into a CNN-RF hybrid model for soil heavy metal pollution detection to obtain a heavy metal pollution detection result. According to the method, in-situ lossless rapid detection of the soil heavy metals is achieved through the dual-band spectrum and the environment dynamic compensation technology, interference of environmental factors on spectral measurement is effectively reduced, the detection efficiency is improved, the pollution condition of the heavy metals in the soil is accurately recognized through the CNN-RF mixed model, the reliability and precision of soil heavy metal pollution are improved, and the method is suitable for popularization and application. Corresponding treatment measures can be taken in time, and the safety of the soil environment is guaranteed.

The invention discloses a visual detection optimization control method, device and equipment based on digital twinning and a storage medium, and relates to the technical field of visual detection, and the method comprises the steps: obtaining an analog image and a real image in a digital twinning environment, and carrying out the frequency domain feature transformation of the analog image and the real image, thereby obtaining an image spectrum feature; a frequency domain alignment model is established based on multi-band spectrum envelope guide residual mapping, and the structure of virtual and real image spectrum features is kept aligned; further extracting features through multi-scale convolution and channel dependence mapping to obtain virtual-real fusion features; quantifying channel similarity and establishing a covariance regularization constraint, performing channel correction on the cross-domain features, and eliminating feature drift to obtain second virtual-real fusion features; and finally, performing visual detection and micro defect identification based on the features. The problem that a virtual sample and a real sample are different in local texture structure and channel distribution is solved.

The invention discloses an unmanned aerial vehicle data link communication system for beyond-visual-range cluster measurement and control, and relates to the field of communication transmission. The system comprises a dynamic topology construction module which constructs a dynamic network topology according to unmanned aerial vehicle node parameters and selects an optimal communication path; the spectrum resource management module is used for optimizing spectrum allocation of multiple frequency bands and dynamically allocating spectrum resources; the relay node selection module is used for selecting an optimal relay node and optimizing the energy consumption and the signal quality of the relay node; the clock synchronization module is used for performing high-precision clock synchronization through clock skew modeling and correcting frequency drift; the channel distribution module is used for dynamically distributing communication channels; and the fault detection module monitors the fault state of the communication link of the unmanned aerial vehicle in real time through a fault monitoring model, and performs anomaly detection. Through dynamic topology construction, intelligent relay node selection and multi-dimensional utility function optimization, the flexibility, stability and resource allocation efficiency of a communication network are effectively improved, and efficient and reliable communication of an unmanned aerial vehicle cluster is ensured.

The invention discloses a multi-band spectrum resource allocation method based on A2-MADDPG, and belongs to the technical field of MAB attention mechanisms. According to the technical scheme, a communication system framework is constructed, and a multi-band resource allocation environment is defined; modeling is carried out for frequency band characteristics, and cooperative work is realized; extracting multi-scale features of a system state by adopting self-adaptive multi-scale convolution and a dynamic attention mechanism; the hyper-parameters are optimized through an evolutionary strategy, and optimal resource allocation is achieved; a dynamic reward mechanism is established, weights are adjusted in real time according to actions and environments, and short-term and long-term targets are considered. The beneficial effects are that the method combines multi-agent deep reinforcement learning, adaptive multi-scale convolution, an attention mechanism and an evolutionary strategy to construct a multi-band collaborative resource allocation scheme, and can reduce inter-band loss to improve the spectrum utilization rate; the self-adaptive scale convolution and the dynamic attention mechanism are fused, the self-adaptive capability of the algorithm is improved, the system can keep high performance under different network environments and demand changes, interference is remarkably reduced, and the spectrum utilization rate is improved.

The invention relates to a spectrum occupancy rate calculation method based on full-band spectrum data, and belongs to the field of radio signal spectrum analysis. According to the invention, based on full-band spectrum data at the same sampling time, frequency band division is carried out, and a full-band signal is divided into a plurality of sub-bands; calculating level thresholds of all sub-bands based on the full-band spectrum data at the primary sampling moment; and estimating the occupancy rate based on the frequency band spectrum data at different sampling moments within the measurement time. According to the method, a plurality of interval thresholds in each sub-band are obtained by means of the histogram, the between-class variance and the like, the method can be used for an abnormal electromagnetic signal monitoring scene, the abnormal signal alarm false alarm rate is further reduced, and the electromagnetic space safety supervision capability is improved.

The invention relates to the technical field of unmanned aerial vehicle radio detection, in particular to an unmanned aerial vehicle detection and judgment method based on cooperation of an air-ground system and radio detection, and the method comprises the steps: finding a suspected target through scanning of a multi-frequency-band radar, triggering an infrared thermal imager carried by an aerial unmanned aerial vehicle to approach an ultra-wide-frequency-band spectrum sensor for verification; accurate positioning is realized by combining ground photoelectric equipment multi-view triangulation positioning and a signal arrival time difference algorithm, a command and control center calculates threat levels through a multi-source data fusion engine, and navigation decoy of dynamically adjusting intensity is adopted for targets smaller than or equal to two levels. Hard killing of ground laser locking rotor center and air electromagnetic pulse synchronous coverage is executed on a target of more than or equal to three levels, the equipment state is synchronized in real time through an optical fiber link, high-energy-consumption equipment is intelligently closed after threat is relieved, a platform starting strategy is optimized, a detection closed loop of'three-dimensional perception-graded treatment-intelligent energy saving 'is constructed, and the intelligent energy saving effect is achieved. And an efficient and accurate low-altitude safety protection scheme is provided for a sensitive area.

A device for detecting and analyzing vital fields includes: a dielectric barrier discharge array fabricated on a thin substrate with low dielectric loss; an air permeable sheet for electrical insulation from the skin; a transformer for generating sufficient AC voltage to cause air breakdown in the array; a signal transformer and bypass capacitor for isolating the radio frequency current from the plasma discharge; circuitry for amplification and narrow-band spectrum analysis of the plasma discharge current. The amplified signal from the plasma discharge current is gated to include only signal from the part of the drive waveform where plasma discharge predominantly occurs. Frequency converters reduce the complexity of narrow-band spectrum analysis; spectrum analysis is done by Fast Fourier Transform analysis of the frequency converter outputs. The different FFT results are compared and analyzed to aid the user with the correct array placement on the body, and the detection of medical conditions.

The invention discloses a speech enhancement method and device based on full-band and sub-band fusion, a terminal and a medium. The method comprises the following steps: determining an initial noisy speech full-band spectrum according to a noisy speech signal; decomposing an amplitude spectrum corresponding to the full-band spectrum of the initial noisy speech into three sub-bands including a low-frequency band, a middle-frequency band and a high-frequency band through a sub-band enhancement module, performing speech enhancement based on each sub-band, and determining an initial sub-band enhanced amplitude spectrum; determining an initial full-band enhancement spectrum through a full-band enhancement module according to the initial noisy speech full-band spectrum; fusing the preliminary full-band enhancement spectrum and the preliminary sub-band enhancement amplitude spectrum through a spectrum fusion module, and determining a full-band-sub-band fusion spectrum; determining a fusion complex value mask based on the full-band-sub-band fusion spectrum; and determining a target speech enhancement spectrum according to the fused complex value mask and the initial noisy speech full-band spectrum. The problems of insufficient information interaction and insufficient feature fusion in the full-band and sub-band fusion process in the prior art are effectively solved.

The invention provides an intelligent veterinary drug residue detection system and method based on multi-dimensional spectral characteristics, and relates to the technical field of veterinary drug residue detection, spectral response data of a to-be-detected sample solution in a visible light band and a near-infrared band is collected, and the residue discrimination degree of veterinary drug residues under any wavelength when the concentration dependence change exists is determined; abnormal wave band combinations with quantitative response to veterinary drug residues are screened out from the visible light wave band and the near-infrared wave band respectively, the residual peak deviation of the veterinary drug residues in the region of interest of the spectrum is determined according to the abnormal wave band combinations, and trace residue marks in the multiple spectrum intensity distribution modes are determined; and performing in-situ nondestructive screening on veterinary drug residues in the to-be-detected animal-derived food sample according to the residue discrimination and the trace residue mark. According to the method, on the premise that the dual-band spectrum collaborative response is enhanced, the veterinary drug residue characteristics can be directionally distinguished and detected, so that the veterinary drug residue screening accuracy is improved.

The invention relates to the technical field of tea garden insect pests, and discloses a tea garden insect pest early warning system based on machine learning, which comprises a multi-mode sensing device, an edge intelligent terminal and a cloud decision platform. According to the tea garden insect pest early warning system based on machine learning, a narrow-band spectrum is dynamically selected through an adjustable spectrum imaging unit, image and sound wave features are synchronously acquired in combination with a vibration wave acquisition module, a heterogeneous calculation module of an edge intelligent terminal processes multi-source data in parallel, and a dynamic feature library management module updates a feature template in real time; the incremental learning mechanism triggers high-resolution imaging when unknown pests are detected, the meta-learning framework supports rapid migration training of a new model, the framework breaks through the limitation of a traditional single spectrum and a fixed model, and through multi-dimensional data fusion and adaptive learning, the pest recognition efficiency and adaptability are remarkably improved. The problems of low manual inspection efficiency and poor adaptability of traditional equipment are solved.

The invention discloses a method and a device for analyzing and correcting influence of phase errors between sub-bands of step-frequency ultra-wideband SAR (Synthetic Aperture Radar) data, and belongs to the technical field of synthetic aperture radar signal processing. The method comprises the following steps: carrying out amplitude error estimation and compensation on each sub-band echo signal; preliminarily estimating a phase error by using the partial overlapping characteristic of the sub-band spectrum; performing distance compression on each sub-band signal; establishing an optimization model based on a maximum norm, and solving an accurate phase error by taking the preliminarily estimated phase error as an iteration initial value; carrying out sub-band splicing and distance resolution compression on the sub-band signals after phase error compensation; and finally, a corrected SAR image is obtained through a CS imaging algorithm. According to the method, extra calibration signals are not needed, high-precision phase error correction can be achieved only based on echo data, the calculation efficiency is high, and the method is suitable for a high-resolution SF-SAR system.

The invention discloses a low-complexity cascade predistortion device and method for out-of-band spectrum suppression. The device comprises a predistorter unit, a model identification and trimming unit, a subtracter, a DAC unit, a power amplifier PA, a transmitting antenna, an ADC unit, a power normalization unit and a filter. The predistorter unit comprises a plurality of stages of predistortion modules; and the model identification and trimming unit is used for carrying out modeling, screening and parameter extraction on each stage of pre-distortion module, outputting a screened coefficient model coefficient and feeding back the coefficient model coefficient to the pre-distorter unit. The method is oriented to strong distortion conditions and specified frequency band out-of-band suppression, is low in training sample requirement, is low in implementation complexity, and is convenient to deploy a digital pre-distortion technical route on general programmable hardware, so that the supervision and standard indexes are met, the energy consumption and the engineering cost are reduced, and the adaptability to complex and changeable scenes is improved.

The invention discloses an excitation modulation frequency domain ultraviolet visible near infrared spectrum test system based on a portable spectrometer. The test system comprises an excitation modulation system, a spectrum acquisition system, a data analysis system and a LabView upper computer system, the LabView upper computer system comprises LabView software, the LabView software comprises a LabView wave function generation program and a LabView spectral data post-processing program, and the LabView wave function generation program is used for controlling parameter setting (including light intensity and voltage) of the excitation modulation system; and the post-processing system is used for post-processing the data acquired by the data analysis system. According to the test system and method provided by the invention, data is post-processed by virtue of the high-speed spectrum acquisition capability of the portable spectrograph in combination with a phase-locked amplification algorithm, and compared with the existing solution, the test system and method provided by the invention can realize rapid full-wave-band spectrum acquisition, so that the test efficiency is greatly improved, and feasibility is provided for batch and large-scale test.

The invention discloses a wildfire monitoring method based on a multi-source time sequence remote sensing image, and relates to the technical field of remote sensing geoscience application, and the method comprises the steps: obtaining multi-source remote sensing data, constructing a time sequence waveband data set, and constructing a high-temperature thermal anomaly index through the atmospheric top reflectivity of a three-waveband spectrum; based on the high-temperature thermal anomaly index, extracting a first-level fire point pixel, a saturated pixel and a high-radiance pixel from the multi-source remote sensing data, and converting the saturated pixel and the high-radiance pixel into the first-level fire point pixel; extracting saturated pixels and high-radiance pixels from missed fire cluster cores in the multi-source remote sensing data; based on limiting conditions, building coverage area data and a high-frequency ground object mask, noise pixels in the first-level fire point pixels are removed, and second-level fire point pixels are obtained; transmitting to a local client and a cloud geographic space analysis platform, and creating a fire point list. Multi-source long-time sequence optical remote sensing data are combined, and the spatial and temporal distribution of the large-area wildfire is quickly and automatically identified.

The invention provides a real-time detection system and method for fluorescence signals of bacteria in air, and the system comprises a narrow-band spectrum light source which is used for radiating narrow-band exciting light matched with fluorescent substances in the bacteria, and exciting the fluorescent substances in the bacteria to generate fluorescence; the collimation system is used for collecting light energy output by the narrow-band spectrum light source and converting divergent light beams into parallel light beams; the light conversion aggregator is used for distinguishing bacterial fluorescence and Mie scattered light, converting the effective bacterial fluorescence into secondary fluorescence and converging the secondary fluorescence, and the narrow-band exciting light passes through the light conversion aggregator after being collimated by the collimation system; the detection system is used for converting the secondary fluorescence signal into an electric signal; the control system is respectively connected with the detection system and the narrowband spectrum light source and is used for controlling the detection system and the narrowband spectrum light source to work; and the flow field system is used for driving air flow to flow through the light conversion aggregator. The structure is simple, and optical signal interference generated by Mie scattering can be inhibited.

The invention provides a reflection wave band spectrum domain influence uncertainty quantification method and device for reference star radiation reference transmission, and relates to the technical field of data processing, and the method comprises the steps: inputting ground features, atmosphere and observation geometric parameters into a radiation transmission model, and simulating to generate high-resolution atmosphere top spectrum radiance data as a real radiation spectrum; carrying out convolution on the data and a reference instrument spectral response function to obtain a reference instrument measurement spectrum; the reference instrument measurement spectrum and the real radiation spectrum are respectively convolved with the target instrument spectral response function, the relative difference percentage is calculated, the root mean square is taken, and a first standard uncertainty is obtained; positive and negative deviation is applied to the central wavelength of the reference instrument, and a wavelength sensitivity coefficient is obtained through calculation and normalization; the variance is synthesized into related parameters to obtain the total standard uncertainty, then the coverage factors are fused, and the expansion uncertainty is output. The accuracy of the quantification result is improved.

The invention discloses a dual-band reflection optical film system and an optical lens. The film system comprises seven layers of all-dielectric optical films which are a trititanium pentoxide layer, a silicon dioxide layer, a trititanium pentoxide layer, a silicon dioxide layer, a zirconium dioxide layer, a trititanium pentoxide layer and a silicon dioxide layer in sequence, the reflectivity of the film system in the blue light band of 385-445 nm is 20-35%, the reflectivity in the near-infrared band of 780-1400 nm is larger than or equal to 40%, the reflectivity in the visible light band of 500-780 nm is smaller than or equal to 1%, and the film system is of an absorption-free structure. The film system is designed based on an all-dielectric pure interference structure, accurate regulation and control of multiband spectrums are achieved in a single film system, and the film system has the three characteristics of short-wave blue light blocking, near-infrared efficient heat insulation and extremely high visible light transmission. The invention fundamentally overcomes the technical bottlenecks of single function, heat accumulation caused by photo-thermal conversion, light transmittance damage and the like of the traditional absorption type protective lens, and is suitable for various visual protection products with strict requirements on color rendition degree and thermal protection.

The present invention discloses a method and device for processing ultra-high power microwave spectrum, including: after filtering the original ultra-high power microwave signal for high-order harmonics and absorbing the harmonic reflection, the ultra-high power microwave signal after filtering is distributed with equal power to obtain multiple first microwave signals with equal amplitude and the same phase to reduce the harmonic output level, and then each first microwave signal is successively subjected to reflection module filtering, band-stop filtering, and band-pass filtering to suppress the receiving band spectrum to obtain multiple microwave signals after receiving band processing, and then each receiving band processed microwave signal is subjected to power synthesis to obtain an ultra-high power microwave signal after spectrum processing, and finally sent to an antenna or a load by a high directional coupler. The present invention realizes the integration of ultra-high power microwave filtering network, realizes the spectrum processing capability under ultra-high power conditions, and improves the ultra-high power spectrum processing technology level of my country in the field of deep space exploration.

The invention relates to the technical field of deep mineral detection, and discloses a deep mineral rapid detection method based on multiband spectrum fusion, which comprises the following steps: step 1, building a detection system; 2, carrying the detection system on a detection platform, and synchronously collecting three types of spectral data and course angle, pitch angle, roll angle and speed parameters; step 3, data preprocessing; and step 4, a cross-modal fusion module realizes alignment of three types of data through cross-modal feature matching, and then weighted fusion is carried out. According to the deep mineral rapid detection method based on multi-band spectrum fusion, an attitude sensing module collects a course angle, a pitch angle, a roll angle and speed parameters in real time, a data preprocessing module cooperates with a cross-modal fusion module, and an attitude correction matrix is constructed based on Euler angle transformation to carry out geometric correction on multi-band spectrum data; the detection platform advances according to a preset height and speed working condition, a high-precision inertial navigation system is not needed, and the cost and the detection precision are both considered.

The invention discloses an agricultural product pesticide residue rapid detection integrated system based on spectral imaging, which belongs to the technical field of agricultural product quality safety detection, and comprises a multi-band spectrum acquisition module, a differential spectrum analysis module, a feature fingerprint identification module, an automatic calibration module, a multi-pesticide synchronous detection module and a rapid output module, the surface of an agricultural product is scanned by adopting a multi-band near infrared spectrum technology, matrix interference of a sample is eliminated through differential spectrum analysis, synchronous detection of various pesticide residues is realized by utilizing characteristic fingerprint identification, long-term detection precision is kept through an automatic calibration mechanism, detection is completed within 90 seconds, and a result is output. The method is high in detection speed, high in accuracy and high in universality, and an efficient and practical technical scheme is provided for agricultural product safety monitoring.

The present application relates to a kind of spectrum occupation degree calculation method based on full-band spectrum data, belong to radio signal spectrum analysis field.The present application is based on the full-band spectrum data of same sampling time, and the full-band signal is divided into several sub-bands;Based on the full-band spectrum data of once sampling time, the level threshold of all sub-bands is calculated;Based on the spectrum data of different sampling time in measurement time, the occupation degree is estimated.The present application obtains multiple interval threshold values in each sub-band by histogram, interclass variance and other means, which can be used in abnormal electromagnetic signal monitoring scene, further reduces the false alarm rate of abnormal signal alarm, and improves electromagnetic space safety supervision ability.

The invention provides a multi-task multi-frequency component periodic vibration environment test condition determination method, which belongs to the field of equipment environment engineering, and comprises the following steps: S1, obtaining a vibration standardized data set X containing n task profiles; s2, obtaining a first type component and a second type component of the vibration actual measurement data; s3, taking the equivalent duration tL of the spectrum values corresponding to the rest L-1 groups of periodic frequencies fa as a reference, and adopting the following formula to convert the equivalent duration tL of the spectrum values corresponding to the rest L-1 groups of periodic frequencies fa; s4, obtaining a group of parameters with spectrum values and duration time; s5, taking the duration time TR of the random spectrum as a reference, converting the duration time of the periodic frequency fa into TR, and calculating a converted spectrum value; and S6, superposing the periodic spectrum or the narrow-band spectrum after the time unification with the random spectrum to form a vibration test condition for a vibration test. According to the invention, the frequency of the periodic / narrowband component can be directly determined, and the identification accuracy is higher.

The application provides a multi-band fusion industrial detection light source regulation method, system and medium, the method comprising: outputting a multi-band initial light source based on a quantum dot tuning wide spectrum emission mechanism; performing coordinated emission and time-sharing triggering on the multi-band initial light source based on a time sequence matrix to obtain a multi-band corresponding multi-path excitation light source; performing multi-band spectrum fusion and light mixing processing on the multi-band corresponding multi-path excitation light source based on an optical path transmission efficiency model to obtain a fusion light source; calculating a spectrum drift amount corresponding to a real-time temperature of a light source chip based on a spectrum drift function; calculating spectrum compensation information based on the spectrum drift amount, dynamically compensating the spectrum drift amount according to the spectrum compensation information, and performing spectrum drift dynamic correction; through multi-band light source fusion light mixing processing, and real-time analysis of the spectrum drift amount, spectrum dynamic correction is realized according to the thermal feedback of the real-time temperature of the light source chip, the emission center drift phenomenon caused by temperature drift is effectively eliminated, and the detection performance is improved.

The invention relates to the technical field of pathogen scanning, and particularly discloses a pathogen pattern scanning system, which comprises a pattern scanner module, a data acquisition module, a data processing module and a report generation module, the system can detect functional and metabolic abnormalities through medicament development and multi-band spectrum scanning instead of depending on morphological changes, and the mechanism can discover early lesions, so that a patient can obtain a diagnosis opportunity in a potential hazard stage; according to the pathogen pattern scanning system, a patient only needs to take a developing medicament, comprehensive detection can be completed through spectrum scanning and 3D modeling, invasive examination and radiation exposure are avoided, the system matches diagnosed cases in a database through a deep learning algorithm, similarity matching and risk scoring are carried out, and clear and authoritative medical suggestions are provided for doctors.

A positive electrode active material includes a lithium composite metal oxide including nickel, cobalt, manganese, and aluminum. The positive electrode active material includes 85 mol % to 97 mol % of nickel, and 2 mol % to 5 mol % of cobalt, with respect to the total number of moles of metals other than lithium, and satisfies Expression (1): 0.25≤I550 / I700≤0.4. In Expression (1), I700 and I550 are respectively a maximum value of a peak intensity appearing in a range of 600 ppm to 800 ppm and a maximum value of a peak intensity appearing in a range of 450 ppm to 650 ppm when a spectral analysis (peak deconvolution) is performed on a 1D NMR center band spectrum extracted from a 2D 7Li Magic Angle Turning Phase Adjusted Spinning Sideband (MATPASS) NMR spectrum. A positive electrode and a lithium secondary battery are also included

The invention relates to a system for monitoring a solar broadband spectrum, belongs to the technical field of spectrum measurement, and solves the problems of low stability and low scanning precision of the existing solar spectrum monitoring system or instrument. The system comprises a space high-precision sun tracking rotary table, a space high-precision wide-spectrum spectrum system installed on the tracking rotary table, and an intelligent driving system used for uniformly driving the tracking rotary table and the spectrum system, and the tracking rotary table adopts a two-dimensional rotary table structure. Comprising an inner frame assembly, a U-shaped frame assembly, a pitch axis assembly, an azimuth axis assembly and a bottom plate assembly, and a wavelength scanning mechanism in the spectrum system adopts a lead screw swing rod mechanism and comprises a swing rod, a spring, a lead screw, a sliding block matched with the lead screw and a stepping motor for driving the lead screw to rotate. According to the invention, the spatial high-precision wide-band spectrum system, the spatial high-precision solar tracking turntable and the intelligent driving system cooperate with each other, so that long-term high-stability high-precision monitoring of the solar wide-band spectrum is realized.

The facility for detecting at least one characteristic parameter of a medium (M), has A DEVICE (3) illuminating the medium (M) with a visible polychromatic light, a device (4) exciting the medium (M) with a visible-light or infrared monochromatic radiation, a first device (5) collecting and conveying at least a first electromagnetic radiation emitted by the medium (M), a second device (6) collecting and conveying at least a second electromagnetic radiation emitted by the medium (M), at least one visible-band spectrometer (7) obtaining at least one visible-band spectrum of the medium (M) from the at least first electromagnetic radiation, at least one Raman spectrometer (8) obtaining at least one Raman spectrum of the medium (M) from the at least second electromagnetic radiation, and a device (9) detecting the at least one characteristic parameter from the at least one visible-band spectrum and the at least one Raman spectrum.

The application discloses a kind of metal material mechanics performance multi-parameter nondestructive evaluation method based on grating laser ultrasonic spectrum, the method utilizes high-energy pulsed laser beam to be irradiated on the surface of the metal material to be measured by micro-lens array and form periodic distribution transient grating, excite monochromatic ultrasonic Rayleigh wave of fixed wavelength in material interior, simultaneously, non-contact receive Rayleigh wave signal in the vicinity of the detection area by probe laser.The received Rayleigh wave signal is subjected to fast Fourier transform to obtain narrow-band spectrum, and the acoustic parameters such as sound velocity and acoustic nonlinear parameter can be calculated through the narrow-band spectrum.According to theoretical formula and experimental relationship calibration curve, the calibration relationship between the elastic modulus of metal material and sound velocity, hardness and acoustic nonlinear parameter, yield strength and acoustic nonlinear parameter, ultimate tensile strength and acoustic nonlinear parameter is established respectively, so as to realize the quantitative evaluation of the mechanical properties of metal material.