462 results about "Absorbance spectra" patented technology

The invention discloses a spectrum aliasing decoupling and concentration inversion method under the cross influence of multi-source environmental factors, belongs to the field of industrial process control and environment monitoring, and constructs an environment-spectrum collaborative fusion decoupling model for concentration prediction. The method specifically comprises the following steps: respectively collecting absorption spectrum signals of specified mixed gas at different temperatures, pressures and known concentrations, meanwhile, collecting environmental parameter data, constructing a multi-source data set, and carrying out denoising, dimension reduction and preprocessing on the multi-source data set; constructing a self-supervised feature extraction network for adaptive modulation of environmental parameters to realize deep fusion of spectrum and environmental information; the feature expression capability and generalization performance of the self-supervised feature extraction network are improved by using a self-supervised learning mechanism; and constructing a BPBO-GRNN self-adaptive concentration inversion optimization model for realizing inversion of mixed gas concentration and self-adaptive optimization of model parameters. According to the invention, high-precision concentration inversion and stable detection of the aliasing gas can be realized.

The invention discloses a mixed gas absorption spectrum analysis method and system based on variational mode decomposition, specific laser is injected into an optical resonant cavity unit, and a detector unit continuously monitors the light intensity change and records a light intensity attenuation signal; pre-processing the recorded light intensity attenuation signal; carrying out VMD decomposition on the preprocessed ring-down signal to obtain a plurality of IMF components, respectively introducing CO2 and CO gases with known concentrations into the optical resonance unit, and recording spectral data of each single gas component; calculating the similarity and contribution degree of each IMF component, and setting a weight combination to form a joint score; the gas with the highest joint score is selected, the score is compared with an adaptive threshold value, and when the score is higher than the adaptive threshold value, the IMF component is marked as the characteristic component of the corresponding gas; and finally, gathering and outputting the marked IMF components according to gas types to obtain characteristic signals of the gases, thereby realizing multi-component gas separation in the mixed gas absorption spectrum.

The embodiment of the invention provides a switch cabinet partial discharge quantum sensing monitoring device. The device is applied to the technical field of power equipment monitoring, and comprises a light path regulation and excitation module which is used for generating and beam-splitting detection laser of a quantum sensor coupled to each Rydberg atom; the quantum electromagnetic induction module acts on Rydberg atoms and a partial discharge electromagnetic field, and fluorescence or absorption spectrum characteristics of atomic energy level transition are changed; extracting a weak discharge signal, and converting the weak discharge signal into an analyzable electric signal; the signal processing and diagnosis module is combined with spatial information acquired by a quantum sensor of doydberg atoms in a distributed manner, and a time-frequency analysis and pattern recognition algorithm is adopted to extract discharge characteristic quantity; partial discharge positioning, type identification and insulation state evaluation are realized based on the parameters, and a real-time monitoring result and early warning information are output. In this way, through deep fusion of quantum sensing and advanced signal processing, a high-precision and high-reliability technical solution is provided for power equipment state monitoring.

The invention discloses a saturated spectrum processing method for wide-range detection of an absorption spectrum of a tunable diode, and relates to the technical field of spectrum gas detection. According to the saturated spectrum processing method for wide-range detection of the absorption spectrum of the tunable diode, an effective spectrum signal is obtained by performing denoising and baseline correction on an original absorption spectrum signal, a plurality of spectrum characteristic parameters are extracted to calculate a saturated quantized value, and a complete absorption spectrum line contour is reconstructed by adopting a spectrum reconstruction algorithm according to the quantized value, so that the wide-range detection of the absorption spectrum of the tunable diode is realized. The method comprises the following steps of: constructing a saturation quantitative evaluation system, a layered self-adaptive spectrum reconstruction strategy, a dual-mode detection fusion mechanism and a working condition compensation model, calculating weights of an absorption spectrum and a wavelength modulation spectrum through an S-type function, correcting a preliminary concentration value by combining environment temperature, pressure and a compensation model, and outputting an accurate final gas concentration. Without additional hardware, wide-range high-precision gas detection is realized, and environmental interference and saturation influence are eliminated.

The invention provides a method for analyzing femtosecond laser-induced damage behaviors on the surface of a Zn-doped KDP crystal, and belongs to the technical field of engineering optics based on computer data processing. The method comprises the following steps: firstly, respectively analyzing the influence of the Zn doping amount on the band gap and electroacoustic coupling of the KDP crystal through an ultraviolet-visible absorption spectrum and a Brillouin light scattering spectrum; then constructing a one-dimensional model, respectively simulating the electron density, lattice temperature and time evolution of electron temperature on the surface of the Zn-doped KDP crystal under femtosecond laser irradiation through an electron density accumulation rate equation and a double-temperature model, and theoretically analyzing the influence of the Zn doping amount on the damage behavior of the surface of the KDP crystal. And a theoretical model for calculating the femtosecond laser induced damage threshold is established, so that the optimal doping amount of Zn is determined in a lossless manner. A real sample is not contacted, so that the sample utilization rate is improved; the simulation process is more stable and controllable, and the data repeatability is high; and the research period can be shortened, and optimal doping amount screening is accelerated.

The invention relates to the technical field of gas leakage detection and optical remote sensing, particularly discloses a laser natural gas leakage point positioning and imaging processing method based on an unmanned aerial vehicle, and aims to solve the problems of multiple coverage blind areas, low positioning precision and easiness in environmental interference in the prior art. The method comprises the following steps: acquiring a methane concentration integral value through a tunable diode laser absorption spectrum system carried by an unmanned aerial vehicle; constructing an initial concentration point cloud in combination with the high-precision pose and scanning angle data; performing space-time filtering and interpolation enhancement by adopting Kalman filtering and a Gaussian plume model to generate a high-confidence three-dimensional concentration field; and accurately positioning a leakage source by using a gradient rising tracking algorithm in combination with curvature and continuity constraints, and matching pipe network geographic information to perform verification alarm. According to the technical scheme, large-range, high-precision and full-automatic natural gas leakage detection and visual positioning are realized, and the signal-to-noise ratio, the anti-interference capability and the response efficiency are remarkably improved.

The embodiment of the invention provides a method for determining initial parameters of a transient absorption spectrum kinetics curve, and the method comprises the steps: obtaining an initial absorption point and an absorption attenuation termination point of the transient absorption spectrum kinetics curve, and determining a curve segment between the initial absorption point and the absorption attenuation termination point as a total absorption attenuation interval; carrying out weighting processing on a first-order derivative and a second-order derivative of the transient absorption spectrum dynamic curve to obtain a weighted curvature value sequence; the first N-1 weighted curvature values are selected from the weighted curvature value sequence from large to small, and the total absorption attenuation interval is divided into N absorption attenuation intervals corresponding to curve fitting orders according to sampling points corresponding to the first N-1 weighted curvature values; and determining an initial parameter based on a quantitative relationship of 1 / e of the absorption intensity attenuated to the corresponding interval starting point in each absorption attenuation interval in the exponential fitting model, wherein the quantitative relationship is that the absorption intensity at the interval starting point in each absorption attenuation interval is attenuated to the absorption intensity at the corresponding interval starting point. And the fitting efficiency and accuracy of the dynamic curve are improved.

The invention discloses a planetary atmospheric trace gas spectrum telemetering and in-situ fusion detection system and method, and belongs to the technical field of deep space exploration. The detection system has a telemetering mode and an in-situ detection mode, and comprises a telescope module, a laser light source module, a heterodyne spectrum telemetering module, an in-situ absorption spectrum module, a gas sampling and enriching module and a signal acquisition, processing and control module. In the on-orbit stage, a heterodyne spectrum telemetering module is adopted, and a laser light source and sunlight signals are subjected to frequency mixing for atmospheric component telemetering; and after the detector enters an atmospheric descending section, the in-situ absorption spectrum module performs in-situ absorption spectrum measurement by utilizing the detection light of the same laser light source. By performing space-time fusion and joint inversion on the data acquired in the two modes, coherent detection from large-range general survey to fixed-point detailed survey is realized, the problems of load separation of telemetering and in-situ detection and difficulty in data fusion are solved, and the detection efficiency, the data consistency and the integration level of the system are greatly improved.

The invention belongs to the field of optical sensing technology and food component analysis, and discloses a tea polyphenol detection method and a tea polyphenol detection device based on an infrared evanescent wave absorption spectrum. Comprising the following steps that a conical infrared optical fiber sensor is provided, the conical infrared optical fiber sensor is obtained by drawing an optical fiber with the diameter of 150-1000 microns to obtain a conical infrared optical fiber, and then the end faces of the two ends of the conical infrared optical fiber sensor are polished till the end faces of the optical fiber are free of scratches, so that the two end faces of the optical fiber are flat, smooth and bright and form mirror faces; the conical infrared optical fiber sensor is packaged in the sample pool, the upper end of the sample pool is open, and a to-be-detected sample solution is injected and fully coats the optical fiber; an 850-4000 cm <-1 > infrared light source is provided, focused infrared light enters the optical fiber and is fully coupled with the optical fiber, an infrared evanescent wave absorption spectrum is collected, and qualitative and quantitative analysis is carried out on the tea polyphenol content based on the tea polyphenol characteristic peak intensity. The method for detecting the tea polyphenol has the characteristics of rapidness, high sensitivity and low detection limit.

The invention provides a thermal injection gas temperature measurement method and system based on spectral absorption, and the method comprises the steps: obtaining absorption spectrum signals before and after ignition of thermal injection gas, and carrying out the baseline correction of the absorption spectrum signals after ignition based on the absorption spectrum signals before ignition; performing environmental absorption interference processing on the corrected post-ignition absorption spectrum signal to obtain a target absorption signal reflecting the self absorption characteristic of the thermal injection gas; based on the target absorption signal, total integral absorbance in the two different measurement frequency bands is determined, and according to the ratio of the total integral absorbance of the two different measurement frequency bands, the pre-established mapping relation between the total integral absorbance ratio and the temperature is combined, and the temperature of the thermal injection gas is obtained through inversion. The invention provides a thermal injection fuel gas temperature measurement method based on a combined absorption spectral line so as to solve the problems of alignment of absorption signal base lines, interference removal of absorption components outside fuel gas jet flow, temperature inversion based on the combined absorption spectral line and the like, and a high-temperature fuel gas jet flow temperature measurement result is obtained.

The embodiment of the present application provides a kind of based on the method and system for detecting the quality of dairy product of spectral analysis, belong to optical detection technical field.The method comprises: the sample of the dairy product to be detected is introduced into thermostatic colorimetric cell, utilizes modulated light source to emit incident light, while collecting original spectrum signal in sample channel and reference channel;Based on original spectrum signal, generate correction spectrum, and input correction spectrum into integrating sphere to collect full direction transmission light, obtain total transmission spectrum;Based on the scattering distribution data of different angles obtained by arranging annular multi-angle detector array on the outer wall of thermostatic colorimetric cell;Based on scattering distribution data and total transmission spectrum, construct scattering compensation factor, and make scattering compensation factor act on total transmission spectrum to obtain effective absorption spectrum;Effective absorption spectrum is input into component decomposition model, and the content of each target component of the dairy product to be detected is output.The present application scheme realizes the rapid, nondestructive and high-precision detection of the content of key components of dairy product.

The invention provides an atmospheric brown carbon aerosol light absorption characteristic determination method and electronic equipment, and the method comprises the steps: obtaining aerosol observation data and organic aerosol mass spectrum data; determining a brown carbon absorption coefficient corresponding to each wavelength according to the aerosol observation data; determining a plurality of organic aerosol sources and aerosol concentrations corresponding to the organic aerosol sources according to the organic aerosol mass spectrum data; according to the brown carbon absorption coefficient corresponding to each wavelength and the aerosol concentration corresponding to each organic aerosol source, training to obtain a plurality of brown carbon source decision models, and according to each brown carbon source decision model, determining at least one brown carbon source corresponding to each wavelength; and determining the absorption spectrum of each brown carbon source according to each brown carbon source corresponding to each wavelength. According to the method, accurate inversion of the absorption spectrum of each brown carbon source can be realized, cross-scale correlation from chemical components to climate effects is realized, and the accuracy and scientificity of brown carbon climate influence assessment are improved.

The invention provides a carbon monoxide plume identification and quantification method based on a domestic hyperspectral satellite, and the method comprises the steps: carrying out the radiometric calibration and atmospheric correction of the data of a visible short-wave infrared hyperspectral camera AHS I carried by the domestic hyperspectral observation satellite (GF-5B, Gaofen-5 B satellite); generating a carbon monoxide unit absorption spectrum by using a medium-resolution atmospheric transmission model MODTRAN; inverting a carbon monoxide enhancement value by adopting a matched filtering method; generating a binary plume mask through threshold segmentation; and constructing a deep learning model based on a residual neural network ResNet network, and realizing plume pixel-level identification and carbon monoxide column concentration enhancement value prediction. The method can identify the carbon monoxide plume with high precision and high efficiency, and is suitable for atmospheric pollution monitoring and pollution source quantification.

A water pollutant detection method based on absorption-electrochemical characteristic fusion belongs to the technical field of environmental monitoring, and comprises the following steps: respectively acquiring absorption spectrum data and current-potential data through a spectrometer and an electrochemical workstation, highlighting key peak position characteristics by using an attention mechanism, and inhibiting redundancy and noise interference; extracting local and global features of the two types of signals by using a convolutional neural network, and splicing the local and global features to obtain joint representation; and cross-modal feature fusion is realized through a dynamic routing mechanism of the capsule network, and a spatial relationship and a hierarchical structure between features are captured. And finally, constructing a classification and regression double-branch output structure to realize pollutant type identification and concentration prediction. Compared with an existing single detection technology, the detection sensitivity of the low-concentration pollutants can be remarkably improved, the distinguishing problem of peak value overlapping is effectively solved, the selectivity and robustness of the system are enhanced, and therefore high-precision integrated detection of the water pollutants is achieved.

The invention relates to the technical field of leather wastewater treatment, and provides an ultraviolet-visible spectrum-based leather wastewater ozone dosage and COD (Chemical Oxygen Demand) prediction method. The method comprises the following steps: firstly, determining the types of organic matters in a tannery wastewater sample, and determining the distribution characteristics of the organic matters in different fluorescent regions through three-dimensional fluorescence spectrum analysis, so as to discriminate the types of organic pollutants; secondly, screening key wavelengths, and determining characteristic absorption wavelengths representing different organic matters through an ultraviolet-visible light spectrum; then carrying out an ozone oxidation experiment, and synchronously measuring a COD value and an ultraviolet absorption spectrum under different ozone addition amounts; based on experimental data, a multiple linear regression and exponential regression prediction model of ozone dosage and a COD prediction model based on partial least squares regression are established. According to the invention, accurate control of ozone dosage and real-time monitoring of COD are realized, the treatment efficiency is improved, the operation cost is reduced, the adaptability to water quality fluctuation is enhanced, and the method has a wide engineering application prospect.

The invention relates to the technical field of gas detection, and discloses a methane gas leakage detection method based on multi-sensor data fusion. According to the method, an absorption intensity sequence and a wavelength drift distance are obtained through a plurality of tunable semiconductor laser absorption spectrum sensors. The method comprises the following steps: constructing a dynamic characteristic association network taking sensor positions as nodes, taking sensor data as node initial states, comparing adjacent node state vectors in a cross manner along a preset path, and calculating a similarity matrix of absorption spectral line characteristics; a sensor subset with a cooperative change pattern is identified, and a background absorption component and a potential leakage signal component are separated from the sensor subset. Performing space-time alignment and integration on the leakage signal to generate a regional fusion concentration distribution diagram, further calculating the methane concentration gradient and change rate, and judging leakage when the methane concentration gradient and change rate exceed a preset threshold value. According to the method, through dynamic network analysis and cooperative signal extraction, the accuracy and anti-interference capability of leakage detection in a complex environment are improved.

The invention discloses an unmanned aerial vehicle-mounted in-situ water vapor measurement method and system based on an infrared absorption spectrum, and the method comprises the steps: S1, carrying out the calibration of a laboratory before flight, and building a concentration inversion model; s2, starting an in-situ infrared water vapor sensing module, cooperatively working in combination with a differential positioning module, a temperature and pressure sensor and an electronics module, and acquiring data along a cruise path of the unmanned aerial vehicle; and S3, carrying out real-time water vapor concentration inversion and data fusion. The method is different from the traditional detection means that air chamber atmosphere sampling, detection and exhaust processes are adopted, in-situ detection is directly carried out on the atmosphere in the target area, the measurement efficiency is greatly improved, meanwhile, the measurement deviation caused by air chamber residual gas introduction is avoided, and the engineering property of the system is enhanced.

Provided is a light-emitting element which includes a light-emitting layer containing a phosphorescent compound, a first organic compound, and a second organic compound between a pair of electrodes. A combination of the first organic compound and the second organic compound forms an exciplex (excited complex). An emission spectrum of the exciplex overlaps with an absorption band located on the longest wavelength side of an absorption spectrum of the phosphorescent compound. A peak wavelength of the emission spectrum of the exciplex is longer than or equal to a peak wavelength of the absorption band located on the longest wavelength side of the absorp-tion spectrum of the phosphorescent compound.

The invention relates to the field of water quality detection, in particular to a water quality sampling detection method and device applied to a small and micro wetland unit. The method comprises the following steps: determining a turbidity coefficient according to scattered light intensity of a target water sample under different wavelengths, absorbance of a target interval in an ultraviolet absorption spectrum and fluorescence intensity of a target area in a fluorescence spectrum; determining a scattering equivalent absorption value of each wavelength according to the scattered light intensity of the target water sample under each wavelength, the absorbance corresponding to each wavelength in the ultraviolet absorption spectrum and the turbidity coefficient; determining a real ultraviolet absorption signal of each wavelength according to the absorbance corresponding to each wavelength in the ultraviolet absorption spectrum and the scattering equivalent absorption value of the wavelength; correcting the fluorescence spectrum according to the turbidity coefficient and the scattering equivalent absorption value of each wavelength to obtain a corrected fluorescence spectrum; and detecting the water quality according to the corrected fluorescence spectrum and the real ultraviolet absorption signal of each wavelength. According to the invention, accurate water quality sampling detection can be provided.

According to the double-optical-path gas detection method based on the tunable diode laser absorption spectrum (TDLAS) technology, gas concentration is inverted through double-wavelength laser output, double-optical-path design and a maximum variable data processing algorithm, and multi-gas detection with high sensitivity and wide dynamic range is achieved; the method is especially suitable for distinguishing and concentration inversion of gases (such as methane and carbon monoxide) with similar absorption peaks. The core of the method is that a stepping motor is used for controlling a reflector to move so as to realize the double-optical-path design of the gas chamber; gases with similar absorption peaks can be effectively distinguished in combination with dual-wavelength laser output; the light intensity signals of the long optical path and the short optical path are synchronously processed by using the least square method, and the gas concentration is inversed through light intensity ratio calculation and matrix operation, so that the detection precision is improved. According to the double-optical-path gas detection method, double wavelengths and double optical paths are realized, meanwhile, the length of the optical path can be dynamically adjusted, and the double-optical-path gas detection method can be suitable for different scenes. The system is high in sensitivity, wide in dynamic range and capable of distinguishing multiple gases, and meanwhile the system is flexible, low in complexity and high in anti-interference capacity.

The objective of the present invention is to provide technology for optically quantifying the physical properties of oil.　One aspect of the present invention provides a method for generating an estimation model for physical properties of oil using an information processing system comprising an input device, an output device, a processing device, and a storage device, wherein the information processing system is provided with an estimation model generating unit that generates a machine-trainable estimation model, and the estimation model generating unit accepts input of an absorption spectrum obtained by transmitting light including at least some wavelengths between 800 and 2500 nm through an oil that contains a base oil and an additive, and a value reflecting a physical property value of the oil, and generates the estimation model by machine learning using a value based on the absorption spectrum as an explanatory variable, and the value reflecting the physical property value of the oil as a dependent variable.

This invention discloses a method for detecting polycyclic aromatic hydrocarbons (PAHs) based on ultraviolet fluorescence and absorption spectroscopy, comprising: Step 1, acquiring the ultraviolet absorption spectrum and the fluorescence emission spectrum of a water sample under ultraviolet light excitation; Step 2, analyzing the corresponding CDOM fluorescence spectrum using the ultraviolet absorption spectrum obtained in Step 1; Step 3, subtracting the CDOM fluorescence spectrum obtained in Step 2 from the fluorescence emission spectrum obtained in Step 1 to obtain a mixed fluorescence spectrum containing multiple PAHs; Step 4, performing multivariate fitting on the mixed fluorescence spectrum obtained in Step 3 to obtain the type and concentration of each PAH in the water sample. This invention also provides a PAH detection device. The method provided by this invention is simple to operate and can directly detect raw water samples, thereby obtaining more accurate PAH detection results.

The invention relates to the technical field of single-walled carbon nanotubes, and provides a single-walled carbon nanotube purity measurement method, system and equipment and a storage medium. The measuring method comprises the following steps: acquiring the ratio of the main peak absorbance of a first energy band absorption region or the main peak absorbance of a second energy band absorption region of an absorption spectrum to the absorption valley absorbance of a first absorption region of a metallic carbon nanotube; acquiring the ratio of the main peak absorbance to the secondary peak absorbance of the first energy band absorption region of the absorption spectrum or the ratio of the main peak absorbance to the secondary peak absorbance of the second energy band absorption region of the absorption spectrum; and constructing a normalized purity function according to the first absorbance ratio and the second absorbance ratio, and obtaining the purity of the single-walled carbon nanotube sample based on the normalized purity function. According to the method, the normalized purity function is constructed, and a mapping table is replaced by a function formula driven by a physical model, so that the dependence on the mapping table is eliminated, the accuracy, the universality and the efficiency of s-SWCNT purity measurement can be remarkably improved, and meanwhile, the operation threshold is reduced.

A method suitable for controlling polymerization reactions in resin manufacturing is provided. A manufacturing method comprising a step of causing reactants to undergo a polymerization reaction, the manufacturing method including measuring at a frequency of 9400–4500 cm⁻¹ －1 The process includes a spectral determination step that uses near-infrared absorption spectroscopy of the polymerization reaction mixture within a certain range to determine the extent of the polymerization reaction, and a viscous behavior determination step that uses the viscous behavior of the polymerization reaction mixture to determine the extent of the polymerization reaction.

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 utility model relates to gas detection technical field, the utility model provides a kind of LNG dual-fuel ship exhaust monitoring device, using ultraviolet differential absorption, non-dispersed infrared absorption and tunable semiconductor laser absorption spectroscopy etc. Optical detection principle realizes the synchronous detection of four kinds of gases SO2 (0~1500ppm), CO2 (0~30%), CH4 (0~1500ppm) and NO (0~1500ppm), error is controlled within ±2%FS, response time is not more than 30s. Realize LNG dual-fuel characteristic gas accurate detection simultaneously, with the advantages of high detection precision, fast response speed, simple operation, relatively low cost and strong gas cross-interference resistance ability under complex working conditions.

This invention discloses a vehicle-mounted dual-optical-comb system for outdoor testing, comprising an oscillator module, a power amplifier module, a frequency conversion module, a gas measurement module, a signal detection, acquisition, and processing module, and a vehicle-mounted platform module. The oscillator module generates two optical frequency comb signals with slightly different repetition frequencies. The power amplifier module amplifies the two optical frequency comb signals. The frequency conversion module outputs a combined dual-optical-comb beam. The gas measurement module enables the dual-optical-comb beam to interact with the gas to be tested in an open environment. The signal detection, acquisition, and processing module receives the optical signal absorbed by the gas to be tested, converts it into an electrical signal, and acquires and processes the electrical signal to obtain the absorption spectrum information of the gas to be tested. The vehicle-mounted platform module is used to fix and install each module. The advantages of this invention are: stable operation, strong resistance to environmental interference, low power consumption, and suitability for long-term vehicle-mounted operation.

An inkjet ink contains a quinacridone pigment, a resin, and an aqueous medium. A 50-fold dilution of a supernatant obtained by centrifugating the inkjet ink at 1,050,000 G for 3 hours has a phosphorous concentration of at least 1.0 ppm and no greater than 6.0 ppm. On an ultraviolet-visible absorption spectrum of the supernatant, a first peak appears at a first absorbance of at least 0.16 and no greater than 0.40. The first peak is a maximum peak in a wavelength range of the ultraviolet-visible absorption spectrum of at least 300 nm and no greater than 340 nm. On the ultraviolet-visible absorption spectrum of the supernatant, a second peak appears at a second absorbance of at least 0.15 and no greater than 0.80. The second peak is a maximum peak in a wavelength range of the ultraviolet-visible absorption spectrum of at least 400 nm and no greater than 490 nm.

1. The name of the design product: high-precision transient absorption spectrum detection device. 2. The use of the design product: for ultrafast time-resolved spectral detection, analyzing the transient absorption characteristics of materials after light excitation, suitable for kinetic studies in the fields of chemistry, materials science, biomedicine, etc. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1.

The invention provides a rapid pollutant detection method based on spectral feature analysis, and relates to the technical field of environmental pollutant spectral detection, and the method comprises the following steps: obtaining an original absorption spectrum of a sample, and preprocessing and reconstructing an intrinsic spectral signal; extracting three types of features of morphology, frequency domain energy distribution and phase disturbance, and splicing to obtain a multi-dimensional joint feature tensor; pollutant classification and confidence judgment are completed through an improved CNN, and concentration is predicted through a linear regression model synchronously; in combination with a Mahalanobis distance verification result, deep residual network secondary feature mining is triggered for a low-confidence sample, a final type is determined according to a fusion result, and the concentration is corrected; and generating a detection report and dynamically updating the spectral feature intrinsic library. The method is adaptive to a portable ultraviolet-visible spectrophotometer, the single sample detection time consumption is less than 10min, the classification accuracy is greater than or equal to 90%, the unknown pollutant judgment accuracy is greater than or equal to 89%, and the method is suitable for on-site rapid detection.