617 results about "Ft ir spectra" patented technology

The invention provides an energy method-based high-temperature radiation rate measuring device of a semi-transparent material and a revising method for deducting background radiation, relating to a high-temperature normal spectral radiation rate revising and testing method of the semi-transparent material and belonging to the technical field of high-temperature material physical property measurement. The energy method-based high-temperature radiation rate measuring device of the semi-transparent material and the revising method for deducting the background radiation solve the problems of high construction cost, low temperature heating upper limit and lower testing precision of the traditional test system. The high-temperature radiation rate measuring device comprises a Fourier infrared spectrum analyzer, a reference blackbody furnace, a rotatable reflection mirror, a heating furnace, a heater, a temperature collecting device, a temperature routing inspection operation instrument, an incidence light source, a data processing system, a diaphragm and a semi-transparent test piece; the heating furnace is internally provided with a light-transmitting opening, a fixing device of the semi-transparent test piece, and the temperature collecting device; the central axis of a light-emitting opening of the incidence light source, the central axis of the light-transmitting opening of the heating furnace, the mirror surface of the rotatable reflection mirror and the central axis of the light outlet opening of the reference blackbody furnace are collinear with a horizontal axis. The energy method-based high-temperature radiation rate measuring device of the semi-transparent material and the revising method for deducting the background radiation, disclosed by the invention, are used for measuring the high-temperature spectral normal radiation rate of the surface of the semi-transparent material.

The present invention provides a method for preparing solventless bonds between plastic components. The method includes the step of using infrared exposure to create bonds, and more specifically, the step of exposing a first article and/or a second article to a specific portion of the infrared spectrum. The invention further provides medical devices fabricated using infrared exposure.

The invention discloses a method and a device for detecting CO2 carbon isotope by infrared spectrum; and the device comprises a reflecting pool, an infrared source, an off-axis parabolic mirror, an interferometer, an infrared detector connected with a computer, a target gas input gas circuit used for inputting CO2-containing target gas, and a standard gas input gas circuit used for inputting standard CO2 gas with the known delta 13 CO2 value. The method and the device can be used for obtaining the delta 13 CO2 value of the detected gas according to the infrared spectrum acquired by the infrared detector.

The invention relates to an iris recognition method, comprising the steps of acquiring an image of at least one eye of a user in an infrared spectrum, and of processing said image to extract therefrom identification characteristics from the iris as defined by an outer boundary in the eye, the method comprising the steps of: acquiring an image of the eye in a visible spectrum substantially simultaneously with acquiring the image of the eye in the infrared spectrum; and prior to processing the infrared image, determining the outer boundary of the iris from the image in the visible spectrum. The invention also provides iris recognition apparatus.

The invention discloses a near infrared spectrum based detection method for rapid discrimination of oil-tea camellia seed oil real property. The method comprises the following steps: first, a near infrared spectrometer is used to acquire spectrum data of an oil-tea camellia seed oil sample to be detected, and a near infrared spectrum scan wave number, a near infrared spectrum scan frequency and a resolution are controlled during acquisition; then data with spectral band within 5750-6000cm<-1> are selected from an acquired standard spectrum and treated with a smoothing, a first derivative processing and a self-normalization; at last the data is input into an oil-tea camellia seed oil discrimination and analysis model, and a mahalanobis distance discrimination method is employed to determine whether a sample point falls in a delimited real sample area in the oil-tea camellia seed oil discrimination and analysis model, so as to determine true or false of the sample to be detected. The detection method of the invention has advantages of simple operation, rapid detection, safety, environmental protection, and high precision.

The invention discloses a quick edible oil variety identification method based on multisource spectral feature fusion. The method comprises the steps of selecting an unknown variety of edible oil sample to be identified, acquiring a Raman spectrum chart and a near infrared spectrum chart, preprocessing the Raman spectrum chart and the near infrared spectrum chart to obtain a preprocessed Raman spectrum chart and a preprocessed near infrared spectrum chart, conducting feature extraction on the preprocessed Raman spectrum chart and the preprocessed near infrared spectrum chart to obtain a Raman characteristic variable and a near infrared characteristic variable, conducting spectral characteristic fusion on the Raman characteristic variable and the near infrared characteristic variable to obtain a characteristic fusion spectrum chart, and conducting variety identification on the unknown variety of edible oil sample by means of an optimized qualitative model. The method is safe and quick, detection is convenient, identification accuracy is high, and practical value and popularization value are high.

This invention relates to a method for testing density of alive stumpage wood with near infrared spectrum including: selecting not less than 120 bug-free wood samples, controlling the temperature of the samples at 20-25deg.C, dividing them into five regions of moisture rate of 3-30%, 30-80%, 80-30%, 130-200%, 200-300% and collecting the diffuse reflection near infrared spectrums of the woods, applying a water discharge method to test the volume when the sample is full of water, applying a drying method to test the absolute weight of the sample to compute the water ratio and density of the woods, setting up a pretest model of moisture, setting up density correction models separately for five regions of water rate and utilizing the set-up models to analyze the density of unknown samples.

The invention discloses a method for detecting main components in tea leaves by adopting near infrared spectrum. The method is characterized by comprising the following steps: (1) preparing a tea leaf sample: collecting tea leaf samples, numbering, and packaging into an aluminum foil sample bag; and sealing and refrigerating; (2) collecting near infrared spectrum: setting an SOP (standard operation procedure) and an analyzing method based on Workflow, and collecting a tea leaf sample diffuse reflection spectrum chart; (3) pretreating the diffuse reflection spectrum: carrying out 'first or second derivative + Norris denoising' treatment on the spectrum chart; (4) establishing a model: establishing a mathematical model relevant to the near infrared spectrum chart and data measured by the same sample by a standard method by utilizing special chemometrics software; and (5) verifying the model: measuring a new tea leaf sample on a near infrared instrument according to a method completely same with the second step, measuring by utilizing the model established by the fourth step, and comparing with the result measured according to an international standard method.

The invention discloses a quick detection method of oil quality spectrum for lubricating oil, comprising the following steps: 1, collecting a lubricating oil sample with representativeness as a training set; 2, measuring the infrared spectrum of the training set sample; 3, measuring the quality index of the training set sample; 4, selecting a proper variable preference technology, preferably selecting a proper characteristic wavelength, taking the absorbance of the characteristic wavelength as a variable, and building the linear regression equation of each quality index and absorbance; 5, forthe quality detection of unknown lubricating oil samples, firstly measuring the infrared spectrum thereof, selecting the absorbance of wavelength with the same characteristic, and measuring each quality index of lubricating oil by the built liner regression equation. The invention quickly measures seven quality parameters, such as oil water content, total acid number, total base number, 40 DEG C viscosity, 100 DEG C viscosity, flash point, pour point and the like of lubricating oil and monitors lubricating oil quality. The quick detection method has high analysis speed and simple operation and greatly improves lubricating oil quality monitoring capability.

The invention relates to a method for detecting reconstituted tobacco thickness in papermaking process by utilizing near infrared spectrums, which includes the following steps: collecting a sample, screening a modeling sample, collecting original spectrums, pretreating spectrums, establishing a quantitative model, optimizing the quantitative model, checking the model and determining reconstitutedtobacco thickness. By adopting the method, the reconstituted tobacco thickness in the papermaking process can be quickly and accurately detected.

The invention discloses a method for rapidly detecting yellow pigment content in a wheat grain. The method comprises the following steps of: carrying out preprocessing on near infrared spectrum data through a first-order derivative and a standard normal variable quantity transition method by taking chemical quantitative determination as foundation and utilizing a near infrared spectrum analyzer and an analysis software; and establishing a calibration model and carrying out optimizing process by adopting a partial least squares method and a multiple linear regression algorithm, embedding the optimized model in the near infrared spectrum analyzer, and rapidly predicating the yellow pigment content of the wheat grain by utilizing a near infrared spectrum to scan. The method provided by the invention has the advantages that the purpose of simple, rapid, efficient, high-throughput, low-cost, pollution-free, sample-destroying-free and multiple-components simultaneous measurement for mass materials at wheat breeding early stage is realized, and a new method is provided for rapidly screening the wheat new variety (system) with high yellow pigment content or low yellow pigment content of wheat breeding.

The invention discloses an infrared photometric method for quickly measuring oils in water without using chlorofluorocarbon reagents, belonging to the field of infrared spectroscopy. The method comprises the following steps: (1) collecting a sample, controlling the pH to 3-3.5, and adding and analyzing pure iron powder and ferrous chloride solution; (2) extracting oils in water through carbon disulfide, and drying the oil through anhydrous calcium chloride; (3) measuring the extract liquor through a CaF2 window film cuvette; (4) measuring infrared absorption of the extract liquor through a Fourier infrared spectrum tester to determine the mass-volume concentration of total oils; (5) measuring the infrared absorption of the extract liquor at 1750-1735cm<-1> to determine the mol concentration of vegetable oil, and calculating the mass-volume concentration of the vegetable oil; and (6) subtracting the mass-volume concentration of the vegetable oil from the mass-volume concentration of total oils to obtain the mass-volume concentration of petroleum. The method can be used for quickly measuring oils in water after the chlorofluorocarbon reagents are forbidden.

The invention discloses a Fourier infrared spectrum analysis method for a SF6 (sulfur hexafluoride) decomposition product. The method is characterized by comprising the following steps: introducing sample gas into an absorption cavity of a Fourier infrared spectrum spectrophotometer for performing Fourier infrared spectrum analysis, wherein the analysis parameters are that a detector is a photoconductive detector, the pressure balance is 0.1+/-0.01mbar, a refrigerant is 400+/-1mL and the temperature is 196 DEG C below zero+/-1 DEG C. According to the method, the problems that HF, SF4, S2F10 and SiF4 in the SF6 decomposition product cannot be accurately analyzed in the conventional technical means can be effectively solved, the decomposition products such as SO2, HF, SF4, SOF2, SOF4, SO2F2, S2F10, SiF4, CF4, CO and COS in the SF6 are accurately analyzed, the internal operating conditions of SF6 gas insulated equipment are effectively judged, the failure of electrical equipment is successfully judged, and the safety operation of the electrical equipment is guaranteed.

The invention relates to a method for performing lossless identification on brands of steel structure fireproof paints by applying near infrared spectroscopy. The method comprises the following steps: adopting different brands of steel structure fireproof paint samples, collecting near infrared spectrums for several times at different positions on the surfaces of the coated steel structure fireproof paints by utilizing near infrared spectrum equipment, after spectrum pretreatment, establishing different brands of mahalanobis distance discriminant analysis models, calculating the mahalanobis distance average value and the mahalanobis distance critical value of each brand through comparing the validation set of different brands with the mahalanobis distance discriminant analysis models, collecting the near infrared spectrums of unknown samples to be contrasted with the established model of each brand, comparing the calculated minimum mahalanobis distance value of the unknown samples with the mahalanobis distance critical values of the brands, and judging the brands of the unknown samples. The method has the technical effects that the result is accurate, the operation is simple and convenient, the analysis is quick and the analysis cost is low, no pollution is caused to the environment, and the method is suitable for quick on-site lossless detection and identification for the quality and brands of the steel structure fireproof paints.

The invention discloses a rapid determination method for adulterated starch in food based on near infrared spectrum. The method comprises the following steps: collecting the near infrared spectrum of chocolates with different starch adulteration ratios; carrying out spectral pretreatment; building a prediction model; and then predicting an infrared spectrum of an unknown sample through the model so as to finally obtain the measured value of the content of starch in chocolates. The rapid determination method for adulterated starch builds the prediction model through partial least squares, the spectral range is 7000-4200cm<-1>, the number of main factors is 6-10, and the prediction effect is optimal. According to the method, the operation is easy and the adulterated starch in chocolates can be rapidly detected.

The invention discloses a method for evaluating service life of a composite insulator. The method comprises the following steps: cleaning the outer umbrella skirt of the composite insulator, uniformly cutting multiple test points at concentric positions in the center of a first outer umbrella skirt at a high-voltage end, drying, and acquiring the infrared spectrum information in an ATR-FTIR spectrograph; selecting the characteristic peaks -Si-O- and -CH3 in the spectrum chart to serve as representative characteristic peaks of inorganic and organic components in the outer umbrella skirt of the composite insulator; calculating the peak area ratio of the characteristic peaks -Si-O- and -CH3, and solving the average value of the multiple test points to serve as the -Si-O-/-CH3 ratio of the composite insulator; testing different composite insulators according to the method; and evaluating the service lives of different composite insulators according to the -Si-O-/-CH3 ratio of the different insulators, wherein the larger the ratio is, the shorter the service life is, otherwise, the smaller the ratio is, the longer the service life is. According to the method disclosed by the invention, the problem of detection and sample preparation complexity is solved; the problem that the spectrum peak is extremely complicated so as to influence characteristic quantity extraction is solved; the purpose of accurate quantitative detection of FTIR can be realized; and moreover, the detection result is not influenced by manufacturers and formulas.

The invention discloses an infrared spectrum detection method for cubilose. The infrared spectrum detection method for cubilose is characterized in that infrared spectrum detection is adopted. The infrared spectrum detection method comprises the following steps: pretreating a sample to be authenticated; setting technical parameters, and acquiring the infrared spectrogram of the sample by an infrared spectrometer; judging that whether cubilose is adulterated or not by a peak height ratio value; calculating the ratio of the peak height of an absorption peak close to 1634/cm to the peak height of an absorption peak close to 1037/cm; if the ratio ranges from 0.90 to 1.30, judging the cubilose to be real cubilose. if the ratio is out of the range, then judging the sample is adulterated, and the farther the ratio is away from the range, the lower the content of the real cubilose is, and if an absorption peak of 1037/cm occurs, then the sample can be doped with oil compounds such as pigskin. The infrared spectrum detection method for cubilose disclosed by the invention is used for measuring the total extract in cubilose, simple in pretreatment method, non-toxic, high in detection speed, low in detection cost, capable of keeping the uniformity of sample detection, and suitable for mass cubilose samples of different sources; and moreover, the infrared spectrogram is excellent in reproducibility and high in characteristic.

The invention relates to a unit (1) for determining the type of the dominating light source in electromagnetic radiation (2) incident on the unit (1), the electromagnetic radiation being produced from a plurality of light sources of different types. The unit comprises at least one first photodiode (10), which is designed to detect electromagnetic radiation in the visible spectral range and to produce a first output signal (11). The unit comprises at least one second photodiode (20), which is designed to detect electromagnetic radiation in the infrared spectral range and to produce a second output signal (21). The unit comprises at least one computing unit (30), which is designed to derive a quotient result (23) and a frequency result (13) from the first output signal (11) and the second output signal (21). The frequency result (13) provides information about the presence or absence of signal components contained in the electromagnetic radiation in a specified frequency range. The unit comprises at least one evaluating unit (40), which is designed to derive the type of the dominating light source from the quotient result (23) and the frequency result (13).