161 results about "Thermal infrared spectroscopy" patented technology

A near IR spectrometer-based analyzer attaches continuously or semi-continuously to a human subject and collects spectral measurements for determining a biological parameter in the sampled tissue, such as glucose concentration. The analyzer includes an optical system optimized to target the cutaneous layer of the sampled tissue so that interference from the adipose layer is minimized. The optical system includes at least one optical probe. Spacing between optical paths and detection fibers of each probe and between probes is optimized to minimize sampling of the adipose subcutaneous layer and to maximize collection of light backscattered from the cutaneous layer. Penetration depth is optimized by limiting range of distances between paths and detection fibers. Minimizing sampling of the adipose layer greatly reduces interference contributed by the fat band in the sample spectrum, increasing signal-to-noise ratio. Providing multiple probes also minimizes interference in the sample spectrum due to placement errors.

The present invention relates to a convergent parameter instrument and method for performing real-time imaging using multiple imaging techniques. More particularly, the present invention relates to a handheld convergent parameter instrument providing some or preferably all of real-time imaging, including surface mapping, color imaging, perfusion imaging, thermal imaging, and near infrared spectroscopy, and including a common control set and a common display.

The present invention describes a unique method and apparatus for applying near-infrared spectroscopy to estimate weight percent of methane in crude oil from which one can then infer gas-oil ratio (GOR) of crude oils downhole in real time while collecting a fluid sample. The correlation equations provided by this invention use two wavelengths, one centered at 1670 and the other centered at 1682 nm. Both wavelengths are primarily sensitive to the methane peak absorption. To significantly improve the fit, non-spectroscopic parameters, such as temperature or pressure, can be included in the correlation equation. Also, this invention can be used to monitor sample cleanup by monitoring the increase in GOR associated with cleanup as a fluid being pumped from the formation transitions from mostly gas-free filtrate to mostly gas-containing crude oil.

A thermal infrared sensor includes an infrared ray absorbing film that is thermally separated from a semiconductor substrate by a hollow part; and a temperature sensor configured to detect temperature changes of the infrared ray absorbing film. The infrared ray absorbing film includes an infrared ray antireflection structure configured with a sub wavelength structure, the infrared ray antireflection structure being provided on a surface of the infrared ray absorbing film facing the semiconductor substrate.

The invention discloses a method and a device for online detection of biomass basic characteristics based on near infrared spectroscopy. The online detection method comprises the following steps: acquiring the near infrared spectrums of at least 50 biomass samples; measuring the basic characteristics of the biomass samples by use of a physical-chemical method, thereby obtaining the values of various basic characteristics; next, establishing a correction model between the near infrared spectrum signals of the biomass samples and the basic characteristics by use of a least square method; performing spectrum scanning on the biomass to be tested and acquiring the near infrared spectrum of the biomass to be tested; inputting the obtained near infrared spectrum signal into the correction model between the near infrared spectrum signals and the basic characteristics, thereby obtaining the basic characteristics of the tested biomass. The online detection method has the advantages of high detection accuracy, good result consistency and high automation degree as the optical detection method based on the near infrared spectrum is applied to the detection process of the biomass basic characteristics; besides, the online detection method has excellent practicability and economical efficiency and creates conditions for efficient comprehensive large-scale utilization of the biomass.

A system and a method for calculating the cetane number, pour point, cloud point and aniline point of a gas oil fraction of a crude oil from the density and near infrared spectroscopy of a sample of the crude oil.

A system and method for detecting a contaminant in a sample. The contaminant may comprise melamine or a derivative thereof and the sample may comprise a feed material. The method may comprise illuminating a sample to thereby generate a first plurality of interacted photons, collecting the interacted photons, passing the interacted photons through a tunable filter, and detecting the interacted photons to generate a near infrared data set representative of the sample. This near infrared sample may comprise a hyperspectral near infrared image. The method may further comprise fusing said near infrared data set with a Raman data set representative of sample. A system may comprise an illumination source, one or more collection optics, a tunable filter, and a detector configured to generate a near infrared data set. The system may further comprise a second detector configured for generating a Raman data set representative of a sample.

The invention discloses a food modeling and rapid detecting integration method and system adopting portable NIRS (near infrared spectroscopy). According to the method, the portable NIRS is secondarily developed under the windows system, a food detecting and calibrating model is established according to concentration reference values of component index parameters of a calibration set food sample as well as NIRS data, component parameters of a to-be-detected set sample food are detected by the calibrating model, and concentration detection values of to-be-detected components of unknown samples are obtained; an optimal detecting and calibrating model aiming at specific detected food objects can be obtained by adjusting model parameters. The integration system comprises a sample spectrum data collecting module, a sample spectrogram pre-processing module and a model establishment and evaluation analysis module. With the adoption of the method and the system, food components can be rapidly detected, according to the data characteristics of detected objects, the model can be established initiatively, the optimal parameters can be determined, the optimal model can be established, and accordingly, the detection precision of the model is improved.

The invention relates to a method for quickly identifying food waste oils based on near infrared spectroscopy, comprising the following steps of: acquiring and correcting a near infrared (NIR) spectrogram of a sample by means of a near infrared spectrometer; establishing a qualitative identification model of the sample by selecting appropriate methods such as a spectrum preprocessing method and a variable compression method respectively according to the characteristics of the spectrogram; and estimating the properties of the model by means of a verification sample, and then performing qualitative analysis on the unknown sample according to the model. The method for quickly identifying food waste oils based on near infrared spectroscopy solves the problem in the prior art that the food waste oil is not easy to quickly identify; and therefore, reliable basis and a convenient, quick and efficient method are provided for food hygine supervision and preventing the food waste oils such as swill-cooked dirty oil from returning to the dining-table.

The invention relates to a method for evaluating the composite insulator silicone rubber aging degree based on Fourier infrared spectroscopy, and belongs to the field of electric test. The method comprises the following steps: (1) selecting a piece of umbrella skirt and a piece of umbrella cover from each of a high-voltage end, a low-voltage and the middle part of a to-be-evaluated composite insulator, and clipping the six pieces to obtain test samples, wherein the size of each sample is not over 5cm*5cm; (2) performing Fourier infrared spectroscopy testing on the test samples, computing corresponding Si-CH3 infrared peak area according to a Fourier infrared spectrogram; and (3) performing aging degree classification on the to-be-evaluated composite insulator according to the maximum value of the Si-CH3 infrared peak area in the six test samples, wherein the classification standard is as follows: the composite insulator has unobvious aging when the Si-CH3 infrared peak area is more than 4.5; the composite insulator is lightly aged when the Si-CH3 infrared peak area is not more than 4.5 and more than 2.5; the composite insulator is obviously aged when the Si-CH3 infrared peak area is not more than 2.5 and more than 1.2; and the composite insulator is severely aged when the Si-CH3 infrared peak area is not more than 1.2. The evaluation method of the composite insulator silicone rubber aging degree provided by the invention has the advantages of being convenient for measurement, small in workload and accurate in measured data, and a new means for clearly judging the aging degree of composite insulator silicone rubber at the microcosmic aspect is provided for the electric system.

The invention provides a non-linear modeling method based on near infrared spectroscopy and a system thereof. The method comprises the following steps: spectrogram of each experimental sample is acquired and converted into near infrared spectroscopic data; a part of each near infrared spectroscopic data is picked out at random as a calibration set, and a part is picked out as a validation set; thecalibration set and the validation set undergo principal component analysis to obtain a spectral feature space; in the spectral feature space, samples in the calibration set that are the most similarto the samples of the validation set are picked out as a calibration subset through a Mahalanobis distance method; and principal component number is extracted from the calibration subset as an inputlayer of a BP neural network to establish a regression model. By the above method, the problem of multiple correlations among various factors can be solved, and much noise and some useless informationare also avoided. Variable dimension is reduced, and based on nonlinear mapping ability and adaptive learning ability of the BP neural network, predictive stability and precision of the model are raised.

The invention relates to a soft measurement method based on near infrared spectroscopy, and especially relates to a soft measurement method, based on near infrared spectroscopy, for relative density in a compound donkey-hide gelatin pulp medicinal material extract concentration process. According to the invention, a sample set is formed by production process samples and samples prepared in a laboratory; near infrared spectra of the sample set are collected; abnormal samples are rejected; characteristic spectral information of concentrated liquid is extracted by selecting appropriate spectral modeling bands and pre-processing methods; a relative density of the concentrated liquid determined by a pycnometer method is used as a reference value; a quantitative correction model of the relation between the concentrated liquid near infrared spectra and the relative densities is established by a partial least squares regression method; the near infrared spectrum of a sample to be determined is collected; and the relative density of the sample is obtained by using the established model. The invention provides a rapid and precise density soft measurement method which facilitates the improvement of the quality control level of the production process.

The invention discloses a near infrared spectroscopy introduced tobacco foreign material removing device. A near infrared signal system is introduced on the conventional tobacco foreign material remover, and the absorbance of the material at three sections of different near infrared wavelengths is selected and brought into a R (red) G (green) B (blue) three-color vision detection system so as to improve the sensitivity of the vision detection system and identify the tobacco and the foreign material more accurately. A corresponding removing method comprises the following steps of: determining three sections of wavelength intervals with obvious near infrared absorption difference between the tobacco and the foreign material; and then determining the range of tobacco absorbance in each section of wavelength, wherein after the production process is started, the tobacco foreign material remover determines the foreign material only by judging whether the absorbance of the sampled material in the three sections of wavelength intervals exceeds the range and then gives corresponding jet valve instruction to remove the foreign material.

A method and system for producing improved more accurate measurements of oxyhemoglobin levels in tissue when measured using near infrared spectroscopy (NIRS). Light sources and processing methods are selected to such that the effects of a confounding chromophore in the tissue under study are minimized.

The present application discloses a tissue oximeter system which includes radio frequency (RF) wave sources configured to produce RF waves at different RF frequencies, near infrared (NIR) light sources each configured to emit NIR lights each modulated by one or more of the RF waves generated by the RF wave sources, an optical probe that directs the NIR lights modulated at different RF frequencies to a living tissue, and wherein the optical probe includes a plurality of light-emitting points that each can couple one of the NIR lights into the living tissue, one or more optical detectors that each can receive scattered lights from the living tissue and to convert the scattered lights into electronic signals, and a control and data acquisition unit that can calculate absolute level of [HbO], [Hb], or [SO2] based on the electronic signals.

The invention discloses a method for rapid determination of the content of soluble solids in a compound ass-hide glue pulp by near infrared spectroscopy, and belongs to the traditional Chinese medicine research technical field. The method comprises the steps: preparing different concentrations of compound ass-hide glue pulp samples by concentration dilution, and jointly forming a sample set with a finished product sample; acquiring near infrared spectrograms of the samples in the sample set, eliminating abnormal samples, and dividing the sample set; then selecting an appropriate spectral wave band and an appropriate pretreatment method to obtain compound ass-hide glue pulp characteristic spectral information; taking the soluble solid content tested by a moisture test apparatus as a reference value, and building a quantitative calibration model of the relationship between the ass-hide glue pulp near infrared spectrum and the soluble solid content by applying a stechiometry technology; and acquiring a near infrared spectrum of a compound ass-hide glue pulp sample with unknown content, and rapidly calculating the soluble solid content by utilizing the built quantitative calibration model. The method is beneficial for improving the level of quality control of the compound ass-hide glue pulp, and ensures stability and reliability of the product quality.

A DEVICE AND METHOD COMPRISING A LARGE SQUARE BALER WITH A PRE-COMPRSSION CHAMBER THAT ACCUMULATES HAY AND MOVES IT INTO THE COMPRESSION CHAMBER, ONE OR MORE NEAR INFRARED SPECROCOPY (NIRS) SENSORS MOUNTED NEAR THE TOP OF THE PRE-COMPRESSION CHAMBER, A MEANS TO READ INPUTS FROM THE SENSORS ONLY WHEN THE STUFFER FORKS ARE MOVING HAYFROM THE PRE-COMPRESSION CHAMBER INTO THE MAIN CHAMBER AND A PROCESSOR TO AVERAGE MULTIPLE READINGS FROM THE NIRS SENSORS FROM THAT INTEVAL.

The invention discloses an identification method for rice leaves contaminated by heavy metals based on near infrared spectroscopy. The method comprises the following steps: (1) collecting four kinds of rice leaf samples, emitting a near infrared spectrum with a wave number in a range of 4000 to 12000 / cm to back sides of the rice leaf samples and collecting diffuse reflection spectrum information of all the rice leaf samples; (2) respectively processing the diffuse reflection spectrum information of all the rice leaf samples by using a wavelet transformation method so as obtain corresponding wavelet features; (3) establishing a neural network model with the wavelet features of the rice leaf samples as input and set values of pollution types corresponding to the rice leaf samples as output; and (4) substituting the wavelet features obtained after the step (1) and step (2) into the neural network model obtained in step (3) so as to obtain pollution types of rice to be identified. The identification method provided by the invention has the advantages of high precision, simple operation, low cost and capacity of realizing rapid and nondestructive identification of heavy metal pollution in rice.

The invention provides a venipuncture system based on a near infrared spectroscopy. The venipuncture system based on the near infrared spectroscopy utilizes good permeability of a near infrared band spectrum on human tissue and the differences of optical properties of different tissue molecules according to the band spectrum for optical algorithm analysis, and the vein route can be calculated to operate venipuncture. Based on the venipuncture system, precise locating of veins and puncture automation can be achieved, the operation of medical workers is not needed, and medical resources are saved.

The invention discloses a multi-crystal integrated attenuated total reflection accessory of an infrared spectroscopy. The attenuated total reflection accessory includes an accessory chamber body and a sample fixing pressing head. The accessory chamber body is hollow, the top surface of the accessory chamber body is parallel to the bottom surface of the accessory chamber body, the side surface of the accessory chamber body is provided with a light channel parallel to the bottom surface of the accessory chamber body, and the top surface of the accessory chamber body is provided with a light transmission hole penetrating through the top surface of the accessory chamber body; the light channel arranged under the light transmission hole is provided with a first infrared reflective mirror and a second infrared reflective mirror, the sample fixing pressing head is arranged above the light transmission hole, and a sample table is arranged between the sample fixing pressing head and the light transmission hole; the sample table is arranged on the top surface of the accessory chamber body through a rotatable pedestal, and the periphery of the sample table is uniformly provided with crystals. When various crystal models are required to test an analyzed sample, sample analysis can be carried out with quick switch of the crystals but without dismounting of the sample table. The multi-crystal integrated attenuated total reflection accessory of the infrared spectroscopy improves the analysis efficiency, and simultaneously avoids the problems of malfunctions of the sample table and the reduction of stability which are caused by frequently dismounting.

The invention relates to a near infrared spectroscopy and electrode combined detection device. The near infrared spectroscopy and electrode combined detection device is divided into an elastic inner layer and an inelastic outer layer; the elastic inner layer adapts to different shapes of detected physiological positions; electrodes which are arranged according to the standard positioning are loaded on the elastic inner layer; the inelastic outer layer is provided with near infrared probes, wherein the distances between the near infrared probes are fixed; every near infrared probe is formed by a probe positioner, an optical fiber clamp and a non-metallic elastic pressure cap; the probe positioners are fixed on the inelastic outer layer and used for positioning the probes; the middles of the probe positioners are provided with through holes; the diameter of the through holes is slightly larger than that of the optical fiber clamps and accordingly the optical fiber clamps can slide in the through holes freely; the optical fiber clamps are cylindrical parts; the middles of the optical fiber clamps are provided with through holes which are used for clamping optical fibers; the elastic pressure caps are used for applying the elastic force on the optical fibers. According to the near infrared spectroscopy and electrode combined detection device, the standard positioning requirements of the electrodes and the fixed distance between a near infrared light source and a detector can be met simultaneously, the structure is simple and practical, and the compatibility is achieved under the nuclear magnetism.

A method of determining a physical property of a composite material includes providing a series of composite materials / surfacing films, which are subjected to increasing thermal experience to create a set of thermal effect standards, collecting mid-IR spectra on those standards, performing data pre-processing and then multivariate calibration on the spectra of the composite materials / surfacing films, and using that calibration to predict the thermal effect for samples in question.

The invention discloses an apparatus and a method for online detection of performances of a wood plate by using near infrared spectroscopy, and relates to an apparatus and a method for detecting performances of a solid plate. The problems of high price of an array near infrared device and inaccuracy of the analysis result of wood spectrum information acquired by a single point type near infrared device are solved in the invention. A single point type detector is adopted to analyze the performances of the wood plate, and a traversing device is designed to dynamically and flexibly realize acquisition of data of the surface of the wood plate; and a near infrared probe and a range-between-wood sheets finding sensor are arranged, the height of the near infrared probe is controlled, and a distance between the probe and a detected wood plate is constant, so the spectrum information expression accuracy is realized. A camera is used to determine whether the wood sheet has defects or not in order to improve the detection speed, and if the wood plate has defects, the performances of the wood plate cannot meet requirements, and the solid plate is directly rejected; and a computer is directly connected to carry out subsequent spectrum information processing to improve the detection speed, and automatic detection reduces the time and labor consumption of manpower.

The invention provides a method for identifying Pingli fiveleaf gynostemma herb through near infrared spectroscopy, which comprises the following steps: (A) establishing a near infrared spectroscopy identifying model of Pingli fiveleaf gynostemma herb: (A-1) selecting the spectral range of 4,000-12,500cm<-1>, and scanning the near infrared spectrogram of the Pingli fiveleaf gynostemma herb; (A-2) pretreating the data of the spectral range of 4,000-9,500cm<-1>; (A-3) extracting the main components; and (A-4) establishing an artificial neutral network model: determining the structure of the neutral network by an artificial neutral network algorithm according to the characteristics of the input and output data, and training the neutral network by use of the training data; and establishing a BP artificial neutral network model of input layer nodes 10-, hidden layer nodes 5- and output layer nodes 2 by use of the MATLAB software; and (B) identifying the unknown sample: scanning the near infrared spectrogram of the unknown sample under the same conditions, selecting the number of main components, judging the authenticity of the unknown sample according to the trained neutral network model, and representing the output nodes with binary codes respectively, wherein 10 represents Pingli fiveleaf gynostemma herb, and 01 represents non-Pingli fiveleaf gynostemma herb.

The invention discloses a method for rapidly determining PienTzeHuang quality by using near-infrared spectroscopy. The method comprises the steps that: (1) representative PienTzeHuang samples are collected as a training set; (2) quality indicators of the PienTzeHuang samples in the training set are determined through a high-performance liquid chromatography method; (3) near-infrared spectral data of the PienTzeHuang samples in the training set is determined; the near-infrared spectral data is pretreated; and spectral data obtained after pretreatment is adopted as variables; (4) the spectral data obtained after pretreatment is associated with the quality indicators, such that a correction model is established; and the correction model is verified; and (5) qualities of PienTzeHuang to be tested are determined by using the verified correction model. With the method, whether a sample to be tested is suspicious can be rapidly determined. The method is suitable for rapid screening of counterfeit and inferior fake goods. Also, the method can be used for evaluating quality differences and stability of each batch of PienTzeHuang. The method has the advantages of short detection time, high speed, accurate determination, and capability of online detection. With the method, manpower and material resources can be greatly saved, and substantial economic and social benefits are provided.

The invention relates to a method for determining hydrocracking tail oil property by near-infrared spectroscopy. The method comprises the following steps: a group of hydrocracking tail oil samples is collected, property of the hydrocracking tail oil samples can be determined by a standard method, absorbance of a 5500 cm<-1>-6500 cm<-1> characteristic spectrum zone is taken to establish the near infrared spectroscopy matrix of a hydrocracking tail oil database sample, analysis is carried out on the main components of the matrix, and the score matrix and the load matrix of the database sample are obtained, the absorbance of a 5500 cm<-1>-6500 cm<-1> characteristic spectrum zone of the hydrocracking tail oil sample to-be-measured is taken, the near infrared spectroscopy data of the sample to-be-measured is obtained, the score of the sample to-be-measured is calculated by the load matrix of the database sample, distance between the score of the sample to-be-measured and the score of the each database sample can be calculated one by one, the database samples with s quantity having minimum score difference of the hydrocracking tail oil sample to-be-measured are selected, and the property of the sample to-be-measured is calculated according to the property of the database samples. The method can rapidly and accurately predict the property of the hydrocracking tail oil, the database sample is in an opening state, and the maintenance is simpler.

A camouflage suit for reducing the discoverability of persons in the visible and infrared spectrum, as for example the thermal infrared spectrum, exhibits a breath-active fabric exhibiting an open fabric structure based on a textile backing. The backing here exhibits a low-emitting surface. This can be achieved by at least partly sheathing or coating the textile backing with an electrically conductive material.

The invention relates to a method for determining a crude oil true boiling point distillation curve by using infrared spectroscopy. The method comprises the steps that: (1) various crude oil samples are collected; distillate component yields of the crude oil samples at every distillation temperature are determined with a standard method; and a crude oil sample yield matrix under each distillation temperature is respectively established; (2) infrared spectra of the crude oil samples under different temperatures are determined; a differential treatment is carried out; light absorbance at a 677-3060cm<-1> characteristic spectral region form a three-dimensional spectral matrix X (I*J*K); X is respectively subjected to a multidimensional partial least square method with a component yield matrix at each distillation temperature, such tat a correction model of distillate yield under each distillation temperature is established; and (3) infrared spectra of a crude oil sample requiring determination under different temperatures are determined under a same condition of that of the collected crude oil samples; a differential treatment is carried out; light absorbance at a characteristic spectral region form a three-dimensional spectral matrix of the crude oil sample; the matrix is introduced into the correction model of component yield under each distillation temperature established in the step (2), such that the crude oil sample true boiling point distillation curve is obtained. With the method, crude oil sample true boiling point rapid prediction is realized, such that a fast and convenient method is provided for determining crude oil processing scheme and optimizing production decisions.