641 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 invention discloses a handheld near infrared spectrum detection system and a detection method for the quality of fruits and vegetables, and belongs to the field of quick detection technologies for the quality of foods or agricultural products. The handheld near infrared spectrum detection system and the detection method have the advantages that modulation light paths of a digital micro-mirror device is matched with a single-point detector and other external modules, so that the handheld, low-cost and miniaturized near infrared spectrum detection system for the quality of the fruits and vegetables can be obtained, and high-performance spectrum information can be acquired without expensive linear array detectors; characteristic wave bands are selected at first in the aspect of building fruit and vegetable quality detection models, then wave bands which do not contain information variables and are low in relevancy are removed, then a small quantity of characteristic wavelengths are selected by the id of characteristic wavelength selection processes, internal collinear relations among spectrum data are eliminated, accordingly, model calculation can be reduced, the models can be simplified, and the quality of the models can be improved; the bottleneck problems of high nondestructive detection cost for the quality of fruits and vegetables, carrying inconvenience and poor quality of existing detection models can be solved by the aid of the handheld near infrared spectrum detection system and the detection method.

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.

A signal generator for highlighting objects in road traffic, including a marker and a carrier material. The marker is arranged on the carrier material in such a manner that the marker covers one surface side of the carrier material and / or is added to a substance of the carrier material. The signal transmitter reflects incident electromagnetic radiation of at least one predeterminable wavelength band by the marker. A spectral width and a spectral position of the at least one predeterminable wavelength band are distinguished by a size and / or a size distribution and / or a shape of nanoparticles contained in the marker and / or by a surface nanostructuring of the marker. The spectral position of the at least one predeterminable wavelength band is located in an infrared spectral range. The invention further relates to a corresponding system, a corresponding method, the use of the signal generator, and the use of the system.

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 a document of value, a security element and a security marking that have a marking substance absorbing in the infrared spectral region between 1000 and 2500 nanometers which does not significantly absorb either in the visible spectral region or at 800 nanometers. Said marking substance is therefore not accessible with the widespread, simple IR readers working at about 800 nanometers. Preferably, an additional print is added that absorbs in the visible and also at about 800 nanometers but not in the range from 1000 to 2500 nanometers. According to the inventive checking method, the marked place is irradiated with infrared light from the range from 1000 to 2500 nanometers and the absorption determined.

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 present invention provides a bearing material that is excellent in durability and is capable of maintaining wear resistance over a long period of time. The bearing material of the present invention is a high wear-resistance bearing material 10 for being used under a humid environment comprising: a base body 12 made of a polymer material having a methylene group; and a polymer layer 30 covering a bearing surface 16 of the substrate 12, the polymer layer 30 comprising polymer chains which have a phosphorylcholine group and are grafted from the bearing surface 16, wherein a phosphoric index of the sliding surface 16 which is calculated by dividing a peak intensity of phosphate group in an infrared spectrum measured on the sliding surface by a peak intensity of the methylene group therein is not less than 0.28.

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 relates to a document of value, a security element and a security marking that have a marking substance absorbing in the infrared spectral region between 1000 and 2500 nanometers which does not significantly absorb either in the visible spectral region or at 800 nanometers. Said marking substance is therefore not accessible with the widespread, simple IR readers working at about 800 nanometers. Preferably, an additional print is added that absorbs in the visible and also at about 800 nanometers but not in the range from 1000 to 2500 nanometers. According to the inventive checking method, the marked place is irradiated with infrared light from the range from 1000 to 2500 nanometers and the absorption determined.

The invention relates to an identification method of an infrared spectrum, in particular to a pueraria lobata starch adulteration identification method based on principal component analysis (PCA). The method specifically comprises the following steps: tabletting pueraria lobata starch or starch composition mixed with other starch in the pueraria lobata starch to prepare samples and carrying out intermediate infrared scanning under the condition that the wavelength range is 4000-500cm<-1> to obtain the infrared spectrum; carrying out PCA after carrying out baseline adjustment, smoothing processing and vector normalization processing on the infrared spectrum to obtain the principal component score; and carrying out discriminant analysis (DA) on the obtained principal component score and judging pueraria lobata starch adulteration from the DA result. The method has the following beneficial effects: the infrared spectrum of starch is introduced into study; in combination with the chemical analysis and meterage method, the method is simple and easy to operate, has the advantages of rapidness and accuracy; and the correction recognition rate is 100%.

Certain example embodiments of this invention relate to the use of graphene as a transparent conductive coating (TCC). In certain example embodiments, graphene thin films grown on large areas hetero-epitaxially, e.g., on a catalyst thin film, from a hydrocarbon gas (such as, for example, C2H2, CH4, or the like). The graphene thin films of certain example embodiments may be doped or undoped. In certain example embodiments, graphene thin films, once formed, may be lifted off of their carrier substrates and transferred to receiving substrates, e.g., for inclusion in an intermediate or final product. Graphene grown, lifted, and transferred in this way may exhibit low sheet resistances (e.g., less than 150 ohms / square and lower when doped) and high transmission values (e.g., at least in the visible and infrared spectra).

The invention provides a method for identifying ginsengs with different growth patterns by using a near infrared spectrum technology and determining the content of components in the ginsengs, relates to the qualitative discrimination among garden ginsengs and retirement mountain ginsengs, among the retirement mountain ginsengs and wild ginsengs, and among the garden ginsengs, the retirement mountain ginsengs and the wild ginsengs, and quantitative analysis of ginseng total saponins (the sum of nine saponins) and the water, and belongs to the technical field of traditional Chinese medicinal materials. According to the method, a near-infrared spectroscopy is used for carrying out spectrum collection on a sample; then a principal component analysis-mahalanobis distance method is used for respectively establishing a judgment model to carry out qualitative analysis; and a partial least squares regression method is used for respectively establishing a regression model to carry out the qualitative analysis. The method does not need to separate the sample and can directly judge the variety and the growing manner of the detected sample, and the content of the total saponins and the water in a lossless and rapid manner by not losing original characters and compatibility. Therefore, the method can be widely applied to the rapid, simple and convenient qualitative and quantitative analysis of traditional Chinese medicinal materials.

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 near infrared spectral measurement fluent material component content device. It is made up of light source, optical splitting system, diffuse scattering light collecting system, sample cell, reference sample cell, pervious reflection sample cell, photoelectric sensor, reference photoelectric sensor, amplifier, A / D converter, light beam splitter, standard white plate, temperature sensor, control module, spectroscopic data register, scaling reference register, computation module, result output module which is set in thermostat. The invention can increase measuring precision, ensure sample information content abundant, gain sample various components and contents at the same time. The device has little volume, simple operation and maintenance which can be suited for on site real time measurement.

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 discloses an on-line detection method of a mildew corn, based on spectrum and image information fusion, and relates to the technical field of corn colony total count detection. The method comprises the following steps: performing irradiation sterilization on a corn sample; inoculating harmful mildew to the corn sample and storing the corn sample; performing on-line collection on cornsample spectrum and image information; measuring the total number of corn colony; performing rapid determination, outputting actual content of molds through an established model and spectrum and image fusion information of a corn to be detected, so as to judge corn mildew state. The method is convenient for detection, does not need to perform traditional counting on mildew in the corn, and only need to collect characteristic spectrum information and image parameter information of corn mildew pollution through a near infrared spectrum and image technology. The method does not damage the sample, is energy-saving and environmentally friendly, does not need to prepare chemical reagents, does not produce toxic waste liquor, and reduces harm to human body and the environment. The method is lowin detection cost, and does not need to buy expensive chemical reagents and various analysis instruments.

The invention is a method to improve the prediction of the corrosivity of organic acids in petroleum crudes, feedstocks and distillation fractions by providing a more accurate, repeatable, and rapid means of determining the TAN from the IR spectrum of the material. The method can be easily practiced in refinery, terminal, and assay laboratories. It can be used in conjunction with models and hardware to optimize the usage and improve the valuation of corrosive feed stocks. The invention can be implemented on-line for blending optimization. It comprises the steps of irradiating a heated petroleum sample with IR radiation to produce its IR absorption spectrum, and predicting the TAN from the spectrum using a linear, multivariate regression model. The IR TAN value is then used as input to blending, valuation, and corrosion models.

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 relates to a method of measuring the leakage of sulfur hexafluoride, which uses the infrared spectral absorption method and has a high sensibility. The steps are: shining the SF6 sample pond or the point which tend to leak by the infrared light from the infrared source whose band is 1700cm-1,1620cm-1,900cm-1,610cm-1, spectral bandwidth is 2mum, measuring the change of the infrared spectral intensity by the photoelectric detector set on the other side of the measuring point, and getting the SF6 content of the measuring point. The certainty of the measurement is above one per million, the measuring distinguishability can reach to 0.1ppm, and it can increase the measuring certainty through setting low loss optical system and high sensibility photoelectric detector.

The invention provides a cyclodextrin supramolecular polymer / Fe3O4 magnetic nanoparticle complex. The complex is prepared by the following steps: firstly, crosslinking beta-cyclodextrin with pyromellitic dianhydride to synthesize a cyclodextrin supramolecular polymer (beta-CDSP); coprecipitating the beta-CDSP and FeCl3.6H2O and FeCl2.4H2O under an alkaline condition by a one-pot method, so as to obtain the complex. An X-ray diffraction (XRD) method, a transmission electron microscope (TEM) method, a Fourier transform infrared spectroscopy (FTIR) method and a thermogravimetric analysis (TGA) method are applied for characterizing to verify that the beta-CDSP is grafted to Fe3O4 magnetic nanoparticles. The complex has the advantages of low synthesis cost, environment friendliness, no toxicity, abundant hydroxide radicals, free carboxyl and better magnetic properties, and can be used as an adsorption material for adsorption cation type triphenylmethane dye pollutants; malachite green serves as a model molecule for study on adsorption properties, and results show that the complex has a good adsorption effect on the malachite green and has a potential application prospect on the aspect of the adsorption material of environmental pollutants.

The invention relates to an unmanned-aerial-vehicle-mounted spectrum detection system comprising an unmanned aerial vehicle, a communication control module, an image acquisition module, a detection module, and a navigation and positioning module. Rapid and accurate identification of chemicals in extreme or hazardous environments and at complex terrains is realized; and the danger on the personnel for hand-held detection work is eliminated. The system includes the unmanned aerial vehicle and a spectrum detection unit. The spectrum detection unit for carrying out qualitative and quantitative detection analyses of an infrared spectrum or Raman spectrum on a to-be-detected object is fixed at a spectrum detection module installation position behind the center of the bottom of the unmanned aerial vehicle by a buckle, bolt or a limiting pin and can be dismounted. A ground control center obtains, calculates and analyzes spectral information, sent by the spectrum detection unit, of the to-be-detected object. According to a designed sampling path, the unmanned aerial vehicle flies automatically based on a collected image and collected satellite positioning information so as to carry out sampling work or the flight attitude and path are controlled manually to carry out sampling work.

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.