33 results about "Transmission spectroscopy" patented technology

The invention discloses an underground gas storage gas monitoring method and system based on optical fiber spectrum analysis. The method comprises the following steps: S1, optical fiber network deployment: arranging a corrosion-resistant optical fiber sensor network in a gas storage; s2, spectral data acquisition: transmitting light with a specific wavelength to a gas chamber at the tail end of an optical fiber through a Fourier transform infrared spectrometer, and acquiring a transmitted spectrum after interaction of gas and light; s3, spectrum decoupling and concentration calculation: based on a peak pattern fitting algorithm of the Lambert-Beer law, decoupling the infrared spectrum characteristics of the mixed gas, matching a standard spectrum database, and calculating the concentration of each gas component; s4, constructing a three-dimensional gas model: according to the position of the optical fiber sensor and the gas concentration data, establishing a gas migration model to predict a leakage position and a movement direction; according to the method, the trend, the component distribution, the concentration change and the potential leakage risk of the gas in the storage are effectively evaluated, and technical support is provided for the safety, the effectiveness and the economical efficiency of operation of the gas storage.

The invention belongs to the technical field of bacterium identification, and particularly relates to a method and system for rapidly identifying mixed bacteria in a water body based on a transmission spectrum, and the method comprises the steps: measuring the multi-wavelength transmission spectrum characteristics of a bacteria mixed solution at the wave band of 210-800 nm, building a plurality of identification models through a support vector machine, and employing a layer-by-layer identification strategy to identify the mixed bacteria in the water body. And the mixed bacteria in the water body can be quickly and accurately identified. The method comprises the following steps: preparing a bacterial mixed solution with equal concentration and different volume ratios, measuring a transmission spectrum of the bacterial mixed solution, carrying out minimum-maximum normalization processing, constructing a plurality of identification models for training, and finally carrying out bacterial type identification on a bacterial solution sample to be detected. According to the method, different types of bacterial mixed solutions with the same concentration and different volume ratios are prepared, the multi-wavelength transmission spectrum characteristics of the bacterial mixed solutions are measured, a plurality of recognition models are established, and a layer-by-layer recognition strategy is adopted, so that the recognition accuracy and robustness are effectively improved.

This invention discloses a highly sensitive detection method for carbendazim based on terahertz metamaterial resonance enhancement. The invention proposes a terahertz metamaterial sensor with a "+" shaped composite double-peak structure. Transmission spectra were acquired using terahertz spectroscopy, and the differences in terahertz spectra at different concentrations were investigated. Analysis revealed that the amplitude of the transmission peak in the terahertz transmission spectrum of this structure decreases with increasing carbendazim solution concentration. Data preprocessing was performed using multivariate scattering correction (MSC), feature extraction was conducted using the iterative information-preserving variable (IRIV) method, and a quantitative detection model for carbendazim terahertz transmission spectra was established based on LS-SVM. This provides a new approach for the quantitative detection of carbendazim. Experimental results show that the model has a high R-value. P The assay yielded a value of 0.9825, an RMSEP of 0.2001, and a detection limit (LOD) of 0.672 μg / ml. This invention provides a novel method for the rapid, non-destructive, and highly sensitive detection of carbendazim in food.

The application discloses a coal water-structure state recognition method based on terahertz spectroscopy, and relates to the technical field of material property characterization. The method prepares a characteristic state coal sample containing raw coal, collects a terahertz frequency band transmission spectrum and constructs a difference spectrum; three typical mechanism spectra of water-induced polarization absorption, structure scattering enhancement and cavity polarization nonlinearity are extracted through non-negative matrix decomposition to construct a frequency spectrum-mechanism-structure mapping model; the spectrum of a coal sample to be measured is collected and a difference spectrum is constructed, and after solving an activation weight vector, the difference spectrum is matched with characteristic samples to inverse the water-structure state thereof. The method can realize nondestructive and accurate recognition of the water-structure state of coal, adapt to disaster precursor warning such as water inrush in coal mines, and expand the engineering practical value of terahertz technology.

This invention discloses an alcohol detection chip and detection method based on a cascaded dual-ring resonator with dual-gradient curvature, belonging to the field of optical micro-nano sensing and integrated optics technology. This invention aims to solve the technical problems of low sensitivity, poor resolution, complex spectral analysis, and weak environmental adaptability in traditional micro-ring sensing devices, as well as the low detection accuracy of existing miniaturized equipment. The chip uses a silicon-based substrate and includes input and output waveguides, cascaded dual micro-rings, a coupling region, and two sets of miniature heating electrodes. The micro-rings employ dual-gradient waveguides with circular and Euler-circular curved structures for the inner and outer curves, respectively. The cascaded dual rings create a vernier effect, broadening the free spectral range. By adjusting the resonant wavelength through the heating electrodes, scanning detection is completed in the characteristic alcohol band around 1400nm, and high-precision alcohol measurement is achieved by combining transmission spectroscopy. This invention has a compact structure and low cost, and is suitable for rapid quantitative detection of alcohol in industrial monitoring, vehicle safety, food safety, and other scenarios.

Embodiments described herein provide for high frequency transmission spectroscopy (HFTS) system and methods. The HFTS system and methods provided herein allow for identification or classification of materials of interest in a wide range of industries. The HFTS system and methods are capable of identifying unknown particles, characterizing particle size / charge, or monitoring solutions for specific materials in semiconductor, biomedical, and environmental applications. The HFTS system includes an ENA operable to generate an AC as an excitation signal and sweep a frequency of the AC from an initial frequency to a final frequency. A test cell operable to retain a MOI is positioned between an input antenna and an output antenna. The ENA is configured to calculate parameters at each frequency step to plot magnitude response and / or phase response for identification or classification.

The invention provides an exosome quantitative detection method based on TFBG-SPR (Total Fiber Bragg Grating-Surface Plasmon Resonance). The detection device is composed of a broadband light source, a single mode fiber, a polarization controller, a TFBG-SPR exosome sensor, a detection sample pool and a spectrum analyzer. The detection principle can be summarized as follows: light emitted by the broadband light source is transmitted to the polarization controller through the single-mode optical fiber, incident light is modulated to be in a P polarization state at the position of the polarization controller, P-state light is transmitted to the TFBG-SPR exosome sensor, the sensor is fixed in the detection sample pool, and finally an output light signal is presented on the spectrum analyzer in a transmission spectrum mode. In the detection process, an exosome is selectively captured by a CD63 antibody layer on the surface of the TFBG-SPR exosome sensor, so that the refractive index of the surface of the TFBG-SPR exosome sensor is changed, and an output transmission spectrum drifts. By comparing the relationship between the concentrations of different exosome solutions and the transmission spectrum drift amount, the portable, rapid and high-sensitivity quantitative detection of the exosome is realized. And meanwhile, directional measurement of different types of exosomes can be realized by changing the types of detection antibodies on the surface of the sensor. The invention provides a novel method which is high in sensitivity, simple to operate and rapid for quantitative detection of the exosome, and has wide application value in the aspects of cancer prediction, diagnosis and prognosis and other biomedical detection.

The application discloses a medium thin film testing method based on mutual calibration of ellipsometry and ultraviolet-visible spectrum, which comprises the following steps: firstly, fitting ellipsometry spectrum to obtain initial values of refractive index and extinction coefficient, comparing normal extinction coefficient dispersion model to determine abnormal wave band; secondly, fitting transmission spectrum, intercepting transmission spectrum refractive index and extinction coefficient corresponding to the ellipsometer abnormal wave band; then, calculating weighting factor and translation factor to calibrate transmission spectrum refractive index and extinction coefficient in the abnormal wave band; finally, correcting the ellipsometry spectrum of the abnormal wave band and re-fitting to obtain calibrated refractive index and extinction coefficient. The application adopts the above-mentioned medium thin film testing method based on mutual calibration of ellipsometry and ultraviolet-visible spectrum, applies the result of ultraviolet-visible spectrum to index specific wave band ellipsometry spectrum, realizes accurate fitting of refractive index and thickness, and thus improves medium thin film detection precision.

The dispersion involved in this invention contains metal oxide particles surface-modified using at least one silane compound containing a methyl group and a hydrocarbon group having two or more carbon atoms, and at least one silicone compound. For the metal oxide particles obtained by vacuum drying the dispersion, FT-IR measurements at 800 cm⁻¹ are performed. ‑1 Above and 3800cm ‑1 The following wavenumber range of transmission spectra, after normalizing the transmission spectral values, satisfies the following equation (1): IA / IB ≤ 3.5 (1). “IA” is 3500 cm⁻¹ ‑1 The standardized spectral value, "IB", is 1100 cm⁻¹. ‑1 The standardized spectral values ​​below.

The application discloses a kind of transmission spectrum nondestructive testing device and method, belong to fruit quality nondestructive testing field.The present application includes device shell, halogen tungsten lamp, collimating lens, pinhole diaphragm, multispectral sensor, raspberry controller, display screen and battery.Working, the light emitted by halogen tungsten lamp light source is collimated after collimating lens and passes through cherry tomato, and the light carrying cherry tomato internal quality information is filtered by pinhole diaphragm after passing through, and is received by multispectral sensor, and multispectral sensor converts optical signal into electrical signal and transmits to raspberry, and raspberry is analyzed in real time to obtain soluble solids content, hardness index and display.The present application can complete detection using separate button, uses multispectral sensor as spectral collection element, and greatly reduces the development cost of device.The present application realizes portable cherry tomato internal quality detection device, and can be used for cherry tomato key quality index on-site rapid nondestructive testing.

The invention provides a method and system for detecting the sugar content of cotton fiber based on visible near infrared spectroscopy, and the method comprises the following steps: preparing fructose standard solutions with different concentrations, measuring the transmission spectrum of the fructose solutions with different concentrations, and calculating and correcting the absorbance of the fructose standard solutions; establishing a standard working curve taking the corrected absorbance of the fructose standard solution as a vertical coordinate and the concentration of the fructose standard solution as a horizontal coordinate; treating the cotton fiber sample, preparing a cotton fiber extract liquor, collecting the transmission spectrum of the cotton fiber extract liquor, and calculating and correcting the absorbance of the cotton fiber extract liquor; and substituting the corrected absorbance of the cotton fiber extract into the standard working curve, and predicting the sugar concentration of the cotton fiber extract to obtain the sugar content of the cotton fiber. No chemical reagent is used, so that environmental protection and no pollution are ensured; according to the method, the strong robustness of the model is ensured by utilizing visible near-infrared full-band information.

The invention discloses a water sample detection method of a near-infrared spectrum analyzer, and relates to the technical field of water sample detection, and the method is characterized by comprising the following steps: collecting full-spectrum transmission spectrum information of a water sample to be detected in a near-infrared band, and synchronously collecting environmental parameter information of the water sample and instrument working parameter information; performing feature fusion and noise reduction processing on the full-spectrum transmission spectrum information, the environment parameter information and the instrument working parameter information to obtain a standardized spectrum feature vector; inputting the standardized spectral feature vector into a pre-constructed quantitative analysis model to obtain an initial concentration predicted value of the target component in the water sample; the concentration deviation level is determined according to the deviation degree of the initial concentration predicted value and the preset concentration threshold interval, and the method has the effects that the core spectral characteristics of the target components of the water sample are reserved, interference caused by fluctuation of environment and instrument parameters is effectively eliminated, and the detection stability and the data reliability in a complex field environment are remarkably improved.

This invention discloses a microscopic transient angle-resolved reflection / transmission spectroscopy measurement system based on a streak camera, belonging to the field of microscopic angle-resolved spectroscopy measurement. The invention includes a reflection excitation optical path, a transmission excitation optical path, a collection optical path, and a microscopic illumination module. The reflection / transmission excitation optical path converts a pulsed laser source into a broadband pulsed white light source and focuses it onto the sample surface. The collection optical path achieves time resolution through a streak camera, angle resolution through a pinhole on the k-space plane, and wavelength or energy resolution through a grating. The microscopic illumination module illuminates the sample to determine its position. This invention can acquire transient angle-resolved spectra at different times, analyze the ultrafast dynamics of angle-resolved spectra, and simultaneously acquire information in three dimensions: time, angle, and wavelength. By analyzing the light signal from these three dimensions, it can comprehensively analyze the sample's response to the excitation light and thus determine the coupling state between light and matter in the sample.

The present application relates to the technical field of petroleum engineering logging equipment, and particularly relates to a dual-mode hydrocarbon source gas detection device and method based on non-dispersive infrared spectroscopy, which comprises a gas permeation unit for separating hydrocarbon gases, a non-dispersive infrared light source for generating double-light-path independent transmission spectrum output gas spectrum data, an arbitration module for generating an arbitration decision result with a light path mode marker, an analysis module for analyzing pulse signals and identifying spectrum patterns, and an output module for fusing concentration values, light path mode markers and classification codes to generate three-tuple data of deep concentration patterns. The present application dynamically releases characteristics through real-time arbitration matching of double-light-paths, captures transient pulse signals through short light paths, converts formation parameters by identifying peak width symmetry characteristics through the analysis module, and forms an unalterable record chain by correlating time and depth dimensions through the output module, so as to eliminate the misjudgment of formation signals caused by the mismatch between artificial detection cycles and gas release dynamic characteristics.

This invention relates to a method for modeling the reflectance characteristics of three-dimensional aquatic vegetation canopy based on real-world scenarios. The steps are as follows: Leaf reflectance and transmission spectra are calculated using a plant leaf radiative transfer model; the canopy reflectance characteristics are described using canopy structure parameters and leaf BRDF (Brake-Based Flow Function) in conjunction with the actual aquatic vegetation scene; the model parameters are calibrated using the four-flow approximation and linear approximation, and then applied to approximate the solution of the canopy reflectance; finally, the LuxCoreRender physical rendering engine is used to couple incident radiation, canopy reflectance factor, water body optical properties, and observation geometry input parameters, combined with the aquatic vegetation scene, to calculate the canopy reflectance. This method establishes a high-precision three-dimensional aquatic vegetation canopy reflectance model, which helps improve the accuracy and application value of remote sensing radiation modeling. It provides an important tool platform for wetland remote sensing monitoring and ecological protection, as well as the assessment of the blue carbon sink function of coastal wetlands, and has promising prospects for widespread application.

[Problem] To provide: a recycled resin raw material-containing polypropylene film capable of achieving film performance comparable to conventional films by using a recycled resin raw material containing an ethylene-vinyl alcohol resin; and a laminate. [Solution] A polypropylene film comprising, as a constituent material, a recycled resin raw material containing an ethylene-vinyl alcohol resin and a polyolefin resin. The polypropylene film has an IR intensity ratio (POH / PCH3), which is the ratio of the peak height (POH) derived from an OH group to the peak height (PCH3) derived from a CH3 group found in an absorbance spectrum measured by FT-IR transmission spectroscopy, of less than 3.0.

The invention discloses a film transmission spectrum measurement sample film transmission mechanism, which comprises a transmission mechanism main body, and a film carrier roller assembly and a purge gas and flow control assembly are placed on the transmission mechanism main body, and relates to the technical field of film transmission spectrum measurement sample film transmission mechanisms. According to the film transmission spectrum measurement sample film transmission mechanism provided by the invention, through the arrangement of the transmission adjusting structure, the mode that a traditional film transmission spectrum measurement sample film cannot continuously measure a thin film is changed, so that a thin film sample does not need to be cut into thin film samples with a certain size for single-piece measurement; the structure has the advantages that optical performance distribution of the whole thin film can be completely reflected, and optical performance of the same thin film sample wafer under different conditions or at different time points can be compared by measuring two groups of data. This comparison contributes to identifying and excluding possible measurement errors or abnormal values, thereby improving the accuracy and reliability of the data.

The present application relates to a kind of low temperature convergent transmission spectrum measuring device based on Fourier transform infrared spectrometer.It includes Fourier transform infrared spectrometer, convergent angle optical system, low temperature optical system and receiver.Convergent angle optical system includes collimating lens, diaphragm, convergent lens group and mirror, low temperature optical system includes window piece, sample holder and cryostat.Using collimating lens, the divergent light of infrared spectrometer exit is converted into parallel light, using aperture diaphragm controls parallel light spot size, using a set of convergent lens first converts parallel light into convergent light, after the convergent light is emitted after sample exit, the emitted divergent light is converted into parallel light, using aspheric concave mirror, the incident parallel light is reflected into receiver with convergent state, using cryostat, the temperature of sample is reduced to the temperature to be measured.The low temperature convergent transmission spectrum measuring device has the characteristics of simple structure, convergent angle adjustable control range is large, spectral band and temperature coverage range is wide.

The invention relates to the technical field of gas analysis, in particular to a fluorine concentration analysis system and method based on the ultraviolet absorption principle, and the system comprises a pretreatment module which is used for pretreating to-be-detected gas and removing solid impurities and water vapor in the to-be-detected gas; the gas chamber module is used for introducing the pretreated gas to be detected into the corrosion-resistant gas chamber; the ultraviolet light source module is used for emitting ultraviolet light; the spectral analysis module is used for detecting and acquiring a transmission spectrum of the ultraviolet light after penetrating through the to-be-detected gas in the gas chamber module; the data processing module is used for collecting and processing the transmission spectrum in real time and calculating the fluorine concentration based on the transmission spectrum; and the calibration module is used for automatically calibrating the zero point and the measuring range. By analyzing the characteristic absorption peak of fluorine gas molecules in an ultraviolet region, high-sensitivity and high-selectivity detection on the fluorine gas concentration is realized, and the method has the advantages of simplicity and convenience in operation, high response speed and wide application range, and is suitable for industrial scenes needing to accurately control low-concentration fluorine gas.

The invention relates to the technical field of petroleum engineering logging equipment, in particular to a dual-mode hydrocarbon source gas detection device and method based on non-dispersive infrared spectroscopy, and the method comprises the following steps: a gas permeation unit is used for separating hydrocarbon gas, and a non-dispersive infrared light source is used for generating a dual-light-path independent transmission spectrum and outputting gas spectrum data; the arbitration module generates an arbitration decision result with an optical path mode mark; the analysis module is used for analyzing the pulse signal, identifying a spectrogram form and outputting an analysis result containing a concentration value and a stratum permeability classification code; and the output module fuses the concentration value, the light path mode mark and the classification code to generate depth concentration form triple data. Dynamic release characteristics are arbitrated and matched through double optical paths in real time, transient pulse signals are captured through short optical paths, peak width symmetry degree characteristics are recognized by an analysis module and converted into stratum parameters, and time depth dimensions are associated by an output module to form a non-tampering record chain. Stratigraphic signal missed judgment caused by mismatching of a manual detection period and gas release dynamic characteristics is eliminated.

This invention relates to the field of laser spectroscopy detection and gas analysis technology, and discloses a TDLAS gas concentration detection method and system based on a dual-view spectral attention mechanism. The method acquires the raw transmission spectrum from the TDLAS device; based on model parameters determined during the training phase, the raw transmission spectrum is normalized to obtain a normalized target spectrum; the target spectrum is tokenized using a learnable local window and injected with positional encoding information to generate a three-dimensional spectral feature cube; intraspectral attention enhancement is performed on the three-dimensional spectral feature cube using a physical prior correlation matrix to generate spectral enhancement features; interspectral cross-attention matching is performed on the three-dimensional spectral feature cube based on typical feature spectra to obtain cross-spectral fusion features; the spectral enhancement features and cross-spectral fusion features are fused to generate a final fused feature; the final fused feature is subjected to learnable weighted aggregation and multilayer perceptron mapping to obtain the concentration value of the target gas.

Temperature-controlled measuring platform for the automated investigation of sample sets by means of transmission spectroscopy, characterized in that several samples are stored in a heatable sample chamber and can be measured successively with the aid of an adjustable sample wheel or sample magazine (7).

The present invention discloses a microwave precision detection method based on the transmission enhancement spectrum without particle number inversion, which belongs to the field of microwave quantum detection technology. This method abandons the electromagnetic induced transparency mechanism that traditional atomic microwave electric field meters rely on, and realizes the transmission field enhancement effect without particle number inversion conditions through periodic coupling of pulsed light, thereby generating a transmission spectrum. The linear relationship between the peak-to-peak spacing of the medium transmission spectrum and the microwave field intensity is utilized to achieve precise detection of the microwave field. Compared with traditional technologies, the present invention significantly compresses the spectral line width of the transmitted light, greatly improves the sensitivity and accuracy of the measurement, and shows broad application potential. In addition, the present invention provides a new generation mechanism for the design of atomic microwave electric field meters, opening up a new path for the development of microwave electric field precision detection technology.

The present application relates to the technical field of gas measurement, and discloses a methane concentration measurement method and measurement system based on direct absorption spectrum, which comprises the following steps: collecting N groups of methane samples with different concentrations to obtain corresponding real methane transmission spectrum data; adding Gaussian noise to the simulated methane transmission spectrum to obtain simulated methane transmission spectrum data; improving a deep residual contraction network model to obtain an improved deep residual contraction network model, and constructing a methane concentration measurement model; training the methane concentration measurement model by using training set data and verification set data to obtain a trained methane concentration measurement model; obtaining actual methane transmission spectrum data in a target scene, and inputting the actual methane transmission spectrum data into the trained methane concentration measurement model to obtain methane concentration data corresponding to the target scene; and the present application solves the problems of existing methane concentration measurement methods based on direct absorption spectrum, such as large noise interference and low measurement accuracy.

This invention discloses a plastic film thickness measurement system and method based on transmission spectroscopy, belonging to the field of thin film optics and optical measurement. The thickness measurement system includes a light source, an incident converging lens, a film sample, a receiving converging lens, a miniature spectrometer, and a data processing unit. The light source and the incident converging lens are connected via optical fiber. The principal optical axes of the incident and receiving converging lenses are aligned. The focal points of the incident and receiving converging lenses are adjusted to infinity. The film sample is placed between the incident and receiving converging lenses. The angle between the normal of the film sample and the principal optical axes of the incident and receiving lenses is the angle of incidence. The receiving converging lens is connected to the miniature spectrometer via optical fiber, and the miniature spectrometer is connected to the data processing unit via a USB data cable. This invention, based on the existing full-spectrum fitting method, combines the measurement of the refractive index of the film using the transmittance envelope, realizing the thickness measurement of films with unknown refractive indices.

The invention discloses a mixed gas concentration detection method based on an overlapped time multiplexing direct absorption spectrum. A multi-component gas concentration detection scheme of OM-DAS is designed to solve the problem that multi-component gas detection lacks synchronism and universality. A spectrum separation module and a concentration regression module based on a depth residual multilayer perceptron are designed, so that the algorithm is suitable for separating spectrum data with overlapped spectrum peak height and regressing gas concentration from a transmission spectrum; establishing an end-to-end mixed gas analysis network, and integrating the network into two modules, namely a spectrum separation module and a concentration regression module, so that the network is suitable for directly regressing multi-component gas concentration from overlapped spectrum data; oM-DAS signals in the experimental environment are simulated and generated to serve as training data of a deep learning algorithm, so that concentration prediction of real data in the experimental environment is achieved; the thought of transfer learning is introduced in the training process, and the concentration regression generalization performance of the mixed gas analysis network is improved.

The invention discloses a rapid seed activity detection device and method based on near-infrared transmission spectrums.The detection device is provided with a reference light path and a test light path, the two light paths are mutually independent and cooperatively work, and the detection device comprises a near-infrared light source used for emitting infrared light; the light splitting element is connected to the near-infrared light source through an optical fiber; the infrared detector is connected to the light splitting element through a Y-shaped optical fiber and is used for measuring a spectral signal; and the data processing unit is in signal connection with the infrared detector and can perform normalization processing on the measured near infrared spectrum signal and calculate the RMS value of the spectrum. According to the method, a traditional complex modeling process is abandoned, the method can be widely applied to activity detection of various types of seeds such as rice and corn, and an efficient and accurate detection means is provided for the fields of agricultural production and seed research. The method has important practical significance for improving the seed quality detection efficiency and guaranteeing the safety of seeds for agricultural production.

Provided is a high-speed and high-accuracy tablet spectroscopic measurement technology that enables total inspection. A pulsed light irradiation system irradiates a tablet being linearly moved by a movement mechanism with pulsed light in which an elapsed time in each pulse and a wavelength correspond to each other on a one-to-one basis, the output from a light receiver that has received transmission light from the tablet is input to a calculation means via an AD converter and an FPGA as an integration means, and a spectral transmission spectrum is calculated. In a case where the variation in spectral characteristic is measured, grouping is performed for multiple times of pulsed light irradiation performed on different locations, integration is separately performed, spectral transmission spectra are calculated and then compared.

To provide a method for easily determining the type of paper.SOLUTION: A method for determining a type of paper, the method comprising: performing transmission spectroscopy measurement using a terahertz wave. The step is a step of evaluating a ratio of peak areas based on a transmission spectrum obtained by the transmission spectrometry, or a step of evaluating a ratio of transmittances at a specific frequency based on a transmission spectrum obtained by the transmission spectrometry, and the ratio of peak areas is based on a peak area of high-quality paper, and the ratio of transmittances is based on a transmittance of high-quality paper.SELECTED DRAWING: None

The invention discloses a nondestructive testing method for the transparency of pigeon egg white based on a visible-near infrared spectrum. The nondestructive testing method comprises the following steps: acquiring transmission spectrum data of a pigeon egg sample in a wavelength range of 401-1002nm, and carrying out standardization treatment; cooking and cooling the pigeon eggs of which the transmission spectrums are collected, and measuring the brightness value of egg white by using a color difference meter; associating the transmission spectrum data subjected to standardization processing with the egg white brightness value, and constructing a prediction model of the transparency of the egg white of the pigeon egg by adopting a random forest algorithm; transmitting spectrum data of a to-be-detected pigeon egg in a wavelength range of 401-1002nm is acquired and substituted into the constructed pigeon egg white transparency prediction model to predict the transparency of the to-be-detected pigeon egg white; the verification result of the prediction model shows that the prediction accuracy of the model can reach 66.67%, the transparency of the egg white of the pigeon egg can be accurately predicted, and the method has the advantages of being lossless, rapid, easy and convenient to operate, high in prediction accuracy and the like.