77 results about "Nondestructive analysis" patented technology

A method is described for assessing at least one characteristic of a fluid held in a container that utilizes visible—near infrared (VIS-NIR) spectroscopy in combination with chemometrics. A method is also provided for calibrating VIS-NIR analyser(s) operating in transflectance mode for one or more characteristics of a fluid.

The invention provides a novel fast and non-destructive analysis method for the nutritional quality of cottonseed. The method comprises the following steps: 1) selecting whole cottonseeds of representative cotton varieties as experimental samples; 2) using a near-infrared spectrometer to collect near-infrared spectral data of whole cottonseeds, and the spectral scanning range is 800-2500nm; 3) using the national standard method Accurately analyze the nutritional quality of cottonseed; 4) Preprocess the near-infrared spectrum data; 5) Select spectral variables to eliminate non-informative variables; 6) Use the multivariate correction method to establish the near-infrared spectrum of whole cottonseed and the nutritional value of whole cottonseed 7) Performance evaluation of the calibration model; 8) Collect near-infrared spectral data of the whole cottonseed to be tested, and use the calibration model to predict its nutritional quality after preprocessing the spectral data. The invention has fast analysis speed, does not destroy samples, does not require sample pretreatment, has high detection accuracy, and can analyze various nutritional quality components in cotton seeds at the same time, and provides a convenient, fast and efficient analysis method for cotton breeding and cotton seed inspection.

The invention discloses a non-destructive analysis method for surface pigment characteristics of a wall painting in a museum, in which a non-destructive testing analysis technology is adopted. The method as a quantifiable, workable, comparable and non-destructive evaluation method comprises the steps of evaluation analysis (quantitative analysis) on colors by establishing a tolerance sphere model, quality statistical analysis (quantitative analysis) on the pigment in a unit surface area of a wall paining, surface microscopic characteristic analysis (qualitative analysis) and pigment thickness analysis (quantitative analysis). By virtue of the non-destructive analysis method, a scientific conclusion on the preservation state of the wall painting is ensured, and a scientific evidence is provided for the technological protection and restoration of the wall paining by dividing zones on the painting wall in the museum and selecting a plurality of measurement points with comprehensive consideration of various factors. Moreover, abundant scientific detection data resources are provided for wall painting pigment database development and long-term preservation, protection, restoration, exhibition and management of the wall painting through statistics and analysis on a large amount of measurement data.

The invention discloses a method for determining equilibrium moisture content of tobacco leaf, which comprises the following steps: 1)removing stalk of tobacco leaf and drying under a proper condition, employing a multi-functional pulverizer for crushing, sieving the tobacco leaf powder; 2)placing a proper amount of tobacco leaf powder in a sample cup of a near-infrared spectroscopy, collecting its near infrared spectroscopy; 3)fitting the collected to the near infrared spectroscopy and the equilibrium moisture content of tobacco leaf determined by a baking oven method, establishing a corresponding mathematics model; and 4)using a near infrared prediction model of the equilibrium moisture content of tobacco leaf for analyzing near infrared spectroscopy of the unknown tobacco leaf so that equilibrium moisture content data of the sample can be obtained. The method has the advantages of simple operation, labour saving and time saving, and batch detection adaption, can realize rapid and nondestructive analysis of equilibrium moisture content of tobacco leaf, and provides simple and rapid data acquisition technology support for purchasing tobacco leaf, evaluating quality, and researching and developing the new product.

The invention provides a rapid and lossless analysis method for content of ternary adulterated sesame oil. The ternary rapid and lossless analysis method comprises the following steps: selecting sesame oil and two types of low-price vegetable oil and carrying out ternary mixing at a certain ratio; putting a sample into a cuvette and scanning a near infrared spectrum of the sample by using a transmission mode of a near infrared spectrophotometer; dividing data into a training set and a predication set by adopting a KS grouping method; establishing a partial least-squares regression model for each type of component oil; substituting an unknown sample to the corresponding model to obtain the content of the component oil. The ternary rapid and lossless analysis method has the advantages that a near infrared spectrum technology is used as an analysis means and the sample does not need to be pretreated, so that the sample is not damaged and the spectrum of one sample can be collected within a few seconds; the partial least-squares regression modeling is adopted and only one parameter needs to be determined, so that the calculation speed is high and the predication effect is good. The ternary rapid and lossless analysis method is suitable for quantitative analysis of the content of each type of the component oil in the ternary mixed sesame oil.

The invention discloses a method for non-destructive determination of phytic acid content in whole cottonseeds based on near-infrared spectroscopy. Prepare whole-grain cottonseed samples of different varieties planted in different regions for many years, and collect full-spectrum data of whole-grain cottonseed samples; use a variety of preprocessing methods to preprocess the full-spectrum data, and use high-efficiency ion chromatography to accurately determine phytic acid in samples Content, using the full cross-validation method combined with the multivariate calibration regression method to establish multiple calibration models in the full spectrum range, determine the optimal near-infrared spectrum calibration model, and use the calibration model to detect the whole cottonseed sample to be tested to obtain its phytic acid content. The invention collects the spectrogram of the whole cottonseed, has fast measurement speed, high accuracy, and does not need chemical reagents, is a method for non-destructively analyzing the phytic acid content in the whole cottonseed, and is useful for cultivating low-phytic acid cotton varieties and promoting the processing of cotton by-products Utilization is important.

The invention relates to a quantitative matter measuring method using spectrometry. Aiming to solve the problem that with current methods, the content of plutonium and nitric acid cannot be measured simultaneously in a PUREX (plutonium uranium reduction extraction) process, the invention provides a method for simultaneously and rapidly measuring the content of plutonium and nitric acid in an organic phase. The method comprises the following steps: (1) building a mathematical model for measuring the content of plutonium and nitric acid in an organic phase through near infrared spectrometry, namely preparing a sample set, collecting near infrared spectrum, building and evaluating the mathematical model and verifying the mathematical model; and (2) measuring the content of plutonium and nitric acid in the sample by the mathematical model. According to the invention, the mathematical model is built by partial least squares; the measurement of the content of plutonium and nitric acid in the to-be-measured sample is realized by the mathematical model and near infrared spectrum data of the to-be-measured sample; the method has the advantages of being simple and rapid in analysis process, strong in anti-interference ability and small in sampling amount and belongs to nondestructive analysis.

The invention relates to high-flux near-infrared sensitive fast non-destructive analysis for the impurities and tensile strength of tablets, belonging to the field of analyzing pharmaceutical preparation. The high-flux near-infrared sensitive fast non-destructive analysis comprises the following steps: preparing or collecting a tablet sample; collecting the near-infrared diffusion spectroscopy (NIR-DRS) of the known tablet sample through a fourier transform near infrared spectroscope; determining the reference value of impurity content of the tablets by using high performance liquid chromatography (HPLC); determining the reference value of the tensile strength through a vernier caliper and a tablet hardness tester; preprocessing the spectrum; selecting the optimal modeling wavenumber range and rejecting singular value; respectively establishing an NIR-DRS-based impurity and tensile strength correction model and evaluating the performance of the models; collecting the NIR-DRS of the unknown tablet samples; performing preprocessing identical with that of the NIR-DRS of the known sample on the NIR-DRS of the unknown tablet sample; and predicting the impurity content and tensile strength of the unknown tablet sample by using the established models. The method is high in sensitivity, free from preprocessing of the samples, fast and non-destructive in analyzing, and accurate in results.

A method and system are provided for chip testing. The method includes ascertaining a baseline for a functioning chip with no stress history by performing a non-destructive test procedure on the functioning chip. The method further includes repeating the test procedure on a chip under test using a threshold derived from the baseline as a reference point to determine a stress history of the chip under test. The test procedure includes ordering each of a plurality of functional patterns by a respective minimum operating period corresponding thereto, ranking each pattern based on at least one preceding available pattern to provide a plurality of pattern ranks, and calculating a sum by summing the pattern ranks. The sum calculated by the ascertaining step is designated as the baseline, and the sum calculated by the repeating step is compared to the threshold to determine the stress history of the chip under test.

The invention discloses a nondestructive analysis method for capacity attenuation of a lithium ion battery. The nondestructive analysis method comprises the following steps: S1, detecting an initial lithium precipitation threshold of a fresh battery: carrying out preset initial lithium precipitation threshold charging test judgment operation on the battery with capacity attenuation; S2, dynamically detecting the lithium precipitation threshold of the battery with capacity attenuation; and S3, dynamically analyzing the main factors of the capacity attenuation of the battery based on the lithiumprecipitation threshold: comparing the dynamic lithium precipitation threshold of the battery with the capacity attenuation with the initial lithium precipitation threshold of the fresh battery, andjudging to obtain the main factors of the capacity attenuation of the battery according to a preset judgment rule. According to the nondestructive analysis method for the capacity attenuation of the lithium ion battery, the battery does not need to be disassembled, and the main factors of the capacity attenuation of the battery are analyzed mainly by comparing the lithium precipitation threshold values of the battery before and after the capacity attenuation, so that a basis and a direction are provided for improving the performance of the battery.

The invention provides an aquaculture water quality total nitrogen content detection method based on a spectrum technique. The method comprises the following steps: acquiring original spectrum data, wherein the original spectrum data comprises water quality spectrum data of each water quality sample and a real total nitrogen content value of each water quality sample, and the water quality spectrum data of each water quality sample represents the absorbancy of each water quality sample within a preset wavelength range; by using an uninformative variable elimination method and a continuous projection algorithm, screening the original spectrum data so as to obtain spectrum characteristic data; by using a least squares support vector machine, modeling the spectrum characteristic data so as toobtain a detection model, and by using a detection model, acquiring a total nitrogen content detection value of a water quality sample to be detected. The invention provides the aquaculture water quality total nitrogen content detection method based on the spectrum technique, a sample does not need pretreatment, chemical reagents are not needed, and the method is a rapid, low-cost and nondestructive analysis green detection technique and has advancement and environmental-friendliness when being compared with a conventional method.

The invention discloses a method for determining combustibility of tobacco leaf, which comprises the following steps: 1)removing stalk of tobacco leaf and drying under a proper condition, employing a multi-functional pulverizer for crushing, sieving the tobacco leaf powder; 2)placing a proper amount of tobacco leaf powder in a sample cup of a near-infrared spectroscopy, collecting its near infrared spectroscopy; 3)fitting the collected to the near infrared spectroscopy and the combustibility of tobacco leaf determined by a classic method, establishing a corresponding mathematics model; and 4)using a near infrared prediction model of the combustibility of tobacco leaf for analyzing near infrared spectroscopy of the unknown tobacco leaf so that combustibility data of the sample can be obtained. The method has the advantages of simple operation, labour saving and time saving, and batch detection adaption, can realize rapid and nondestructive analysis of combustibility of tobacco leaf, and provides simple and rapid data acquisition technology support for purchasing tobacco leaf, evaluating quality, and researching and developing the new product.

The invention discloses a method for predicting the density of wood of loblolly pine by utilizing a near-infrared spectrum technology. The method comprises the following steps: establishing a predicting model for the basic density of the wood of the loblolly pine on the basis of the near-infrared spectrum technology, and utilizing the model to fast and accurately measuring the basic density of the wood of the loblolly pine. The method disclosed by the invention has the beneficial effects that the defects of long determination time, large error due to artificial operation, high cost and the like in the conventional determination method for the density of the wood are overcome; chemicals do not need to be consumed, so that the harm of the chemicals to a human body is reduced; a sample is not consumed in the measurement process, the appearance and the internal quality of the sample can not be affected, and thus the method realizes typical nondestructive analysis and measurement; the testing repeatability is good, the analysis efficiency is high, the stability of a result is good, and a fast, simple and accurate testing method with low cost is provided for selective breeding of the loblolly pine in China.

The invention discloses a nondestructive testing method for lithium precipitation of a lithium ion battery. The method comprises the following steps: S1, charging a flexible package lithium ion battery to be tested to a set state, and standing; S2, in a charging process and a standing process, collecting a thickness of the flexible package lithium ion battery to be tested in real time, and drawinga thickness curve graph of the thickness changing with time; and S3, if the thickness curve graph shows that the thickness is firstly reduced along with time and then is kept stable, judging that theflexible package lithium ion battery to be tested has a lithium precipitation phenomenon. In the invention, whether lithium precipitation occurs in the lithium ion battery can be analyzed in a nondestructive manner only according to the acquired thickness curve of the flexible package lithium ion battery, operation is simple, easy to understand, convenient and rapid, judgment accuracy is improved, a user does not need to disassemble a battery cell in the battery, and safety is improved; and the method can be used as a basis for battery failure analysis in a battery aging process, and also canprovide a basis for optimizing a battery design and a charging method.

The invention provides a method for nondestructively extracting rice spike character through X-ray-visible light dual-mode imaging. The method comprises the following steps: synchronously acquiring arice spike reflected light surface image and a transmission light image through a dual-mode imaging system, extracting rice spike neck, spike grain contour, rice grain contour, spike branch skeleton and like characteristics by applying ellipse detection, watershed segmentation, refining processing and Hough transform, obtaining a fusion image through image registration and establishing a mathematical characterization of the rice spike yield trait; representing the total spike grain number by adopting mark numbers of the rice spike grain visible light segmentation image communicating region; representing the grouting degree of the spike grain by adopting the ratio of a registered rice grain area to the rice grain contour area, thereby distinguishing filled grains and blighted grains, performing effective spike judgment and computing a seed percentage; calibrating through a standard sample, and establishing a thousand seed weight mathematical model by combining the spike grain region area integral based on the linear regression analysis and the least square method; computing the spike length, primary branch number, primary branch average length and secondary branch number through a rice spike skeleton path, and representing the grain setting density by using the ratio of the grain number and the spike length. The method provided by the invention has the advantages that the rick spike yield trait can be quickly and accurately acquired under the condition of not threshing and separating the filled grains and blighted grains, and a feasible path is provided for the application of the dual-mode imaging in the rice spike yield trait nondestructive analysis.

The invention relates to a method for conducting fingerprint identification and analyzed object detection simultaneously through a dark-field microscope. The method comprises the following steps that a nanometer plasmon probe is made of a nanometer plasmon material and a nucleic acid aptamer; a substrate is processed and a latent fingerprint is obtained through the substrate; the nanometer plasmon probe is dropped to the substrate with the obtained latent fingerprint, so that the latent fingerprint is combined with the nanometer plasmon probe; the dark-field microscope is used for detection. According to the method for conducting fingerprint identification and analyzed object detection simultaneously through the dark-field microscope, the latent fingerprint can be imaged and chemical analyzed objects carried in the fingerprint can be detected simultaneously. A result shows that the method is simple and rapid in operation and can directly conduct nondestructive analysis on a fingerprint sample.

Methods for monitoring target actinides in a fuel reprocessing or waste remediation facility. The methods can be characterized by providing a fuel reprocessing or waste remediation stream having at least one target actinide and at least one other radionuclide. At least a portion of the stream is flowed through an electrochemically modulated separations (EMS) device comprising a carbon-based electrode. A potential is applied to the carbon-based electrode to adjust the redox states of the target actinide, at least one of the radionuclides, or both. The target actinide is separated from the other radionuclides through reaction with, or at, the carbon-based electrode. Finally, direct, in-line chemical nondestructive analysis, at-line chemical separations and sampling analysis, or both, of the target actinide is performed.

The invention discloses a colored spun yarn blending proportion measuring method and device, a computer readable storage medium and electronic equipment, and belongs to the technical field of computerprograms. The method comprises the following steps: acquiring a picture of colored spun yarn to be measured; according to the picture of the colored spun yarn to be measured, acquiring the total effective pixel number contained in the picture of the colored spun yarn to be measured by counting; according to the characteristic value of each pixel in the picture of the colored spun yarn to be measured, making clustering analysis on the characteristic value of each pixel in the picture of the colored spun yarn to be measured to acquire the pixel number corresponding to each color in the pictureof the colored spun yarn to be measured; and according to the proportion of the pixel number corresponding to each color in the total effective pixel number, obtaining the blending proportion of the corresponding color in the colored spun yarn to be measured. The device, the computer readable storage medium and the electronic equipment can be used for realizing the method. The proportions of various colored fibers in the colored spun yarn can be rapidly and nondestructively analyzed.

The invention relates to a near infrared spectrum variable selection method based on self-weighted variable combination cluster analysis, which belongs to the technical field of nondestructive analysis in the field of analytic chemistry. The specific implementation process is as follows: firstly, a variable space is randomly sampled through a binary matrix sampling method (BMS); secondly, two types of information vectors (IVs) of variables, i.e., occurrence frequencies (Fre) and partial least square regression coefficients (Reg), are weighted, so that a contribution value of each spectral variable is obtained, and thereby the influence of the two types of IVs, i.e., Fre and Reg, on variable importance is taken into consideration. Finally, the variables with relatively small contribution values are deleted through an exponential decay function (EDF), and thereby feature variable selection is realized. Compared with the prior art, the method has the advantages of quickness and repeatability, and increases the prediction precision and stability of a model.

The invention provides an intracellular nano-silver and silver ion quantitative determination method which is simple and convenient. The method comprises: establishing a regression equation of the mass of silver ions and the fluorescence intensity of the silver ions, further detecting the fluorescence intensity of the nano-silver and the fluorescence intensity of the silver ions, and calculating the concentration of the silver ions by combining the regression equation; determining the total concentration of the nano-silver and the silver ions, and calculating to obtain the concentration of thenano-silver. The method has the advantages that under the condition that the cells are not damaged, different fluorescent probes are adopted to effectively distinguish signals of nano-silver from signals of silver ions. Meanwhile, by establishing a regression equation of the silver ions, the nano-silver and the silver ions in the cells are quantitatively determined, and the method is high in detection speed, high in detection sensitivity, high in selectivity, free of damage to cell thalli and capable of achieving nondestructive analysis on the cells.

The invention discloses a 4D printing device for a titanium-nickel shape memory alloy and a 4D printing component regulation and control method. The device comprises an industrial personal computer, an optical fiber laser, a collimation and focusing assembly, a light beam splitter, a laser input energy real-time monitor and an LIBS element detection assembly. According to the device, 15-53 microns titanium-nickel alloy powder is activated in a discharge plasma-assisted high-energy ball mill, and is metallurgically bonded with 200-800 nm nano-scale zirconium powder, and modified mixed powder is obtained as 4D printing forming raw material powder; then the modified powder is added into selective laser melting forming equipment to be formed, in the forming process, part of laser beams are split into the laser input energy real-time monitor through the light beam splitter, and the laser power consistency in the selective laser melting process is guaranteed; and meanwhile, element nondestructive analysis and monitoring are carried out on a printing forming layer, titanium-nickel memory alloy variant structure data are recognized, a process database is matched in a self-adaptive mode, and 4D printing regulation and control forming which is free of cracks on the surface of the titanium-nickel shape memory alloy and excellent in performance is achieved.

The invention discloses a method for quickly analyzing the proportions of tree species of mixed pulp wood by the aid of near infrared spectrum technologies. The method is applicable to detecting mass fractions of various wood species when different types of wood are subjected to mixed pulping, and information of the wood species of the pulp wood can be subjected to online analysis and process control by the aid of combined nondestructive analysis merits of near infrared technologies. The method includes (1), smashing pure pulp wood chips of the different tree species and screening the smashed pure pulp wood chips to obtain wood powder which can flow through 20-mesh sieves; (2), uniformly mixing two types of wood powder according to certain proportions to obtain a series of standard samples and acquiring near infrared spectra of the standard samples; (3), associating tree species mass fraction information of the standard samples with data of the near infrared spectra of the standard samples by the aid of chemometrics processes to build mathematic prediction models; (4), analyzing data of near infrared spectra of samples with unknown mixed proportions by the aid of the built mathematic prediction models. The method has the advantage that information of the proportions of the various tree species in the unknown samples can be quickly and accurately determined by the aid of the method.

The invention relates to a human body skeleton muscle tissue stress-strain nondestructive analysis method based on in-vivo physiological movement. The method is composed of a human body movement capturing and analyzing system, a ground reaction force collecting and analyzing system, a muscle force solving system and a skeleton muscle system stress-strain analyzing system. Firstly, the motion capture system is used for capturing the posture of in-vivo three-dimensional physiological motion of a human body, kinematics data of all joints of the human body are extracted through data processing, then foot ground reaction force during in-vivo physiological motion of the human body is collected and analyzed through the ground reaction force collection and analysis system, and a muscle force solution is obtained through the muscle force solution system. The joint force and the muscle force under the corresponding movement are solved and calculated, and finally kinematics data, dynamics data and the muscle force are input into a skeleton and muscle tissue stress-strain analysis system, so that calculation and analysis of the stress-strain of the skeleton and muscle tissue under the in-vivo physiological movement are realized. According to the invention, nondestructive analysis of the stress and strain of the skeletal muscle tissue of the human body under the physiological movement condition is realized.