206 results about "Conventional analysis" patented technology

A flow cell is disclosed for collecting and concentrating a sample dispersed in a flowing medium. The collected sample can be selectively manipulated within the cell by the use of one or more traveling wave grids. The cells are particularly useful as bio-enrichment devices and can be utilized upstream of conventional analytical or detection instruments.

A method and system for analysis of fluorescence emission spectroscopy data and fluorescence lifetime imaging microscopy data are described. A unique Laguerre expansion can be found for fluorescence intensity decays of arbitrary form with convergence to a correct solution faster than with conventional methods. The Laguerre expansion technique includes expansion coefficients highly correlated with intrinsic fluorescence lifetimes, allowing direct characterization of fluorescence dynamics. For complex systems, conventional analysis of fluorescence intensity decay in terms of discrete exponential components can not readily provide a true representation of underlying fluorescence dynamics. Utilizing the Laguerre expansion technique, an alternative non-parametric method for analysis of time-resolved fluorescence data from various systems is described, facilitating characterization and discrimination of a sample. An ultra-fast method for analysis of fluorescence lifetime imaging is also described, facilitating real-time analysis of compositional and functional changes in samples, at a microscopic or macroscopic level.

The invention relates to a direct sample introduction type method and a direct sample introduction type instrument for simultaneously measuring mercury and cadmium, which do not need to digest a sample. The direct sample introduction type method for simultaneously measuring mercury and cadmium comprises the steps of heating a sample in an aerobic environment, controlling the temperature in the scope from 120 DEG C to 500 DEG C, and separating most Hg and a decomposer out from the sample; loading Hg (mercury) and the decomposer into a catalytic furnace by an air flow to be further decomposed, absorbing Hg with Au, and keeping Cd (cadmium) be in the sample; putting the processed sample into a cracking furnace to be further thermally decomposed, and vaporizing Cd and residual H in the sample at a high temperature; loading the vaporized Cd and residual Hg into a Cd atom trap by argon, selectively trapping the Cd by a tungsten filament, and absorbing the residual Hg by a Hg trap; and heating the tungsten filament or a molybdenum filament and gold amalgamation in the argon and hydrogen gas to release Cd and Hg, and carrying Cd and Hg into an atomic fluorescence spectrometer by the argon and the hydrogen. On the basis of realizing the function of simultaneously measuring Hg and Cd, the direct sample introduction type method and direct sample introduction type instrument for simultaneously measuring mercury and cadmium have the advantages that the structure of the entire measurement instrument is simplified so as to miniaturize the instrument, so that the instrument can conveniently meet the requirements of the conventional analysis and emergencies, and can be carried to the field by a vehicle. Moreover, the direct sample introduction type method and the direct sample introduction type instrument for simultaneously measuring mercury and cadmium have application prospect in the field detection.

A method for determining contamination in marine diesel lubricating oils. The method has been found to have particular utility in estimating asphaltenes contamination in marine diesel lubricating oils. The method includes the steps of: (a) obtaining spectral raw data over a frequency range substantially equivalent to that of ultraviolet-visible light for reference lubricating oil samples with known properties and concentrations of asphaltenes; (b) performing chemometric techniques to the spectral raw data obtained in step (a) to develop a calibration model and calibrate the spectral data with actual values for parameters reflecting the level of asphaltenes contamination of the reference samples, the actual values determined by means of conventional analytical methods; (c) obtaining spectra of samples of marine diesel lubricating oil of unknown concentration of asphaltenes over a frequency range substantially equivalent to that of ultraviolet-visible light; and (d) processing the obtained spectral raw data of step (c) and applying the developed calibration model to the processed data in order to determine the parameters reflecting the level of asphaltenes present in the marine diesel lubricating oil.

The invention discloses an integrated design-oriented urban rail transit station sorting method. The method comprises the following steps of: (1) acquiring original data and establishing a station initial variable information database A; (2) configuring parameters, calculating indexes, and generating a station impact factor relational database B; (3) standardizing and preprocessing data in a dimensionless mode; (4) extracting a main constituent D-characteristic index; (5) clustering urban rail transit stations; and (6) analyzing a result and storing the stations for sorting. By the method, a user can automatically adjust acquired initial variable content in a certain standard frame, the main constituent D-characteristic index of the stations can be automatically extracted by a statistic package for social science (SPSS) statement, the clustering is performed so as to acquire a data class, and the defects such as qualitative general acquisition and sorting, incomplete acquired variable content, single analysis result, low automation degree and the like in the conventional analysis are overcome; therefore, the method has high universality, both the efficiency and the quality of the method are improved, and technical support can be provided for design of urban rail transit such as integrated design of the urban rail transit stations and the like.

The invention discloses a method for rapidly measuring chemical compositions of wood by utilizing a near infrared spectroscopic analysis technique, and the method can be used for solving the problems of high cost and long period when the existing method is used for analyzing and measuring the chemical compositions of the wood, has the advantages of simplicity, convenience, practicability, rapidness and the like, and can be used for effectively, rapidly and accurately analyzing and measuring the chemical compositions of the wood and the like. The method disclosed by the invention comprises the following steps: a. crushing wood chips and sieving through a sieve of 40-60 meshes; b. measuring the chemical compositions of the wood by utilizing a conventional analysis method; c. collecting the near infrared spectroscopic data of a wood sample by utilizing a near infrared spectroscopic analysis instrument; d. respectively establishing corresponding wood teaching prediction models of various chemical composition measured values of the wood and the near infrared spectroscopic data of the wood by adopting a chemical metering method; and e. analyzing the wood near infrared spectroscopic data of the unknown chemical compositions which are collected according to the step c by adopting the established mathematical prediction model, thereby rapidly and accurately determining the chemical compositions of the wood.

The present invention relates to application of catalysts for the Selective Catalytic Reduction of oxides of Nitrogen using N-containing reductant. The catalysts are characterized as phase pure lattice oxide materials into which catalytically active cations are incorporated at high levels of dispersion such that conventional analysis reveals a highly phase pure material. The materials are further characterized by high activity, hydrothermal durability and poison tolerance in the intended application.

The invention discloses a method for separating the influences of fatigue damage and a thixotropic factor on an asphalt modulus, which relates to a testing method for the asphalt modulus and is used for solving the problem of limitation on the conventional analysis of the asphalt fatigue characteristic under the action of cyclic load with a damage theory. The method comprises the following steps of: drawing a standard relation curve of an asphalt dynamic modulus and a phase angle, testing relation curves of the dynamic modulus and the phase angle under different initial strain conditions, finding a turning point which is deviated from a linear section on each curve, finding a dividing point between a thixotropy influence area and a damage influence area, and fitting curve parts in front of the dividing point to obtain the values of k, alpha and beta; and fitting the dynamic modulus of asphalt to obtain a value D, and separating the dynamic modulus of the asphalt into two parts, i.e., a modulus under the influence of thixotropy and the reduction value of the modulus caused by damage. The method is used for researching the fatigue characteristic of asphalt.

The invention provides an analysis method for infant brain medical computer scanning images and a realization system. The analysis method is to process the brain medical computer scanning images into images with prominent fractal characteristics, and then perform mathematic quantitative analysis on the images by a chaos fractal analysis method. The method is realized under Matlab R2007 through programming, utilizes chaotic neural network and fractal principles, performs serialized division, identification and fractal mode analysis on the infant brain medical computer scanning images to obtain fractal dimension quantified reference values and quantified reference values of multifractal spectrum width of normal infant brain medical computer scanning images in different age brackets, realizes clinical prediction on sick infants with intelligent disability and brain paralysis which have no typical neural image manifest characteristics by taking the reference values as a comparison standard, thoroughly changes the conventional analysis mode for the infant brain medical computer scanning images, and has high accuracy and strong repeatability compared with scoring results of the clinically widely used Gesell scale.

The present invention belongs to the field of physical property measurement and analysis of material, and relates to the grain size calculation for various inclusions in metal material. The in-situ counting and analysis of inclusions in metal material includes the following steps: conventional analysis to obtain relevant data of the grain size distribution of various inclusions in the sample via metal structure detection, chemical phase state analysis, and electronic microscope plus energy spectrum analysis; in-situ statistical analysis with in-situ metal analyzer for continuous scanning of the sample to obtain single spark spectrum strength data corresponding to the original position of the sample; system analysis to obtain single spark spectrum strength data and determine signal threshold; establishing mathematic analysis mode and comparing the data obtained in different methods to obtain the grain size distribution information of various kinds of inclusions and output result.

The invention provides a simple and convenient method and a simple and convenient system for evaluating hemodynamic indexes and characteristic parameters of a blood signal of a carotid arterial system through non-invasive detection on blood pressure of brachial arteries and an axial blood velocity signal of a common carotid artery. The method comprises the following steps: detecting the waveform and a numerical value of an axial blood velocity of the common carotid artery by using a continuous Doppler blood velocity waveform detecting module, detecting diastolic pressure and systolic pressure of a human body by using an arm-type electronic blood pressure detecting module, and then calculating hemodynamic parameters of the carotid arterial system by a simplified method; and selecting Morlet mother wavelet for wavelet analysis on the waveform of the blood velocity of the common carotid artery, and calculating the characteristic parameters of the blood signal. The method is an analysis method which combines the hemodynamic principle and wavelet transformation; compared with the method adopted by the conventional cerebral hemodynamic analysis device, the signal acquisition and analysis method is simpler; and to a great extent, the defects that the conventional analysis device is complicated in structure, huge in volume, complex in operation, high in price and the like are overcome.

The invention provides a test method of the sulphate content in a flue gas desulfurization system, relating to the technical field of a test method of the sulphate content in a desulphurization system. The test method is characterized in that two samples to be tested are taken simultaneously, wherein one sample is used for determining the sulphite content, and the other sample is used for determining the total content of the sulphite and sulphate; and the sulphate content is calculated by the difference between the total content of the sulphite and sulphate and the sulphite content. The test method has the positive effects that the method is accurate, thus greatly improving the accuracy and the reliability of analysis results of the sulphate in the desulphurization system, and providing reliable analysis results for the operation of the desulphurization system. As the sulphite content in the desulphurization system is an indispensable project to be tested in the conventional analysis, thus not increasing the workload when determining the sulphate content. As the test can be completed only by using an analytical instrument in a conventional laboratory, and a determining project and a determining instrument do not need to be increased, the test method is a very practical analysis method.

The invention discloses a method for modeling a relationship between chemical wood pulp cellulose characteristics and paper sheet tensile strength. The method is characterized in that wood pulp cellulose, which is prepared according to a chemical method, is taken as a model sample; the wood pulp cellulose comprises softwood pulp and hardwood pulp; 12 types of fibers with different morphological parameters are obtained by means of performing defibering and PFI defibrination on different types of wood-pulp boards; for a paper sheet in the model, a tensile strength is assumed as T, an Elongation is assumed as s, and a fiber crimp index is assumed as Cw, then a paper sheet tensile strength model expression is T=m*Cw*S, wherein a, m and n are constant numbers. According to the method for modeling the relationship between the chemical wood pulp cellulose characteristics and the paper sheet tensile strength, all parameters in the paper sheet tensile strength model are fiber characteristic parameters, and can be obtained through conventional analysis and test methods.

The present invention is one kind of injection containing medicine material red sage, and each preparation unit contains salvianolic acid A 0.5-7.5 mg and salvianolic acid B 0.5-7.5 mg. The present invention also provides the quality control method for the injection, and the contents of salvianolic acid A and salvianolic acid B are controlled to ensure the safety and effectiveness of the injection. The detection method is advanced, accurate, simple and suitable for conventional analysis. The present invention is significant in controlling the quality of different kinds of injection containing red sage component.

The invention particularly relates to an electric power system static voltage stability assessment method considering the electric automobile charging characteristic and the load fluctuation limit. The method comprises the steps of establishing of a power grid node injection power random mode, Sobol sequence construction in a QMC sampling method, electric power system static voltage stability critical state searching and establishing of a static voltage indictor assessment system. The defect that the conventional analysis method can only analyze the static voltage stability limit of the system under the single load growth mode can be improved, the influence of the charging characteristic and the load random fluctuation on the static voltage stability of the system after an electric automobile accesses to the power grid can be researched and considered and different static voltage instable states of the power grid can be searched. The operation process is rapid, efficient and accurate; and the analysis conclusion is that an electric power system static voltage stability weak area can act as the key monitoring object of actual power grid operation so that power grid operation personnel are enabled to timely take corresponding load shedding measures, the accident of whole grid voltage collapse can be avoided and the engineering practicality is high.

The invention discloses a sample loading system for automatically transferring samples to an analysis device, relates to a biological sample analysis device, and solves the technical deficiencies of complicated structure and high failure rate of an automatic sample transferring device for the conventional analysis device. The sample loading system comprises a sample uploading area, a transferring platform and a sample absorbing queue area; the transferring platform comprises a base, and a transferring track for allowing the base to slide along the side edge of the sample uploading area is arranged at the bottom of the base; a transferring channel used for placing sample bracket strips is arranged on the base; the sample absorbing queue area at least comprises a sample absorbing transferring channel; the tail end of the sample absorbing transferring channel is placed at the position capable of being butted with the transferring channel of the transferring platform. The sample loading system has the advantages that the structure is simple, the operation is reliable, a large quantity of samples can be automatically transferred to the analysis device, and the random drawing manner can be realized; as the sample absorbing queue area can be conveniently extended and expanded, the interconnection of multiple instruments can be realized.

The invention discloses a transformer fault diagnostic method based on gray fuzzy firefly algorithm optimization. The method comprises the following steps: effective data sequences of the contents of five characteristic gases of a transformer are selected through a characteristic gas content prediction module, and the characteristic gas predictive values at a time under the independent variable sequences of the five characteristic gases are obtained through a univariate time sequence gray model; pretreatment is performed on data; characteristic gas coding sequences are used as inputs of training samples, and transformer fault types corresponding to the inputs are used as outputs to built an IGSO-LM network, and the weight value and the threshold value of the LM network are optimized through an IGSO algorithm; the network is trained by using pretreated data of the characteristic gases of the transformer, so as to obtain an optimal nerve net weight value and the threshold value to built a transformer fault diagnostic model and judge the transformer fault types. The transformer fault diagnostic method provided by the invention solves the problems of data source shortage of transformer fault gases and low result accuracy in a conventional analysis method.

The invention discloses a key IP address safety alarm association analysis method based on a fuzzy scene. The method comprises the steps of: firstly, utilizing a statistic method to aggregate alarms, then utilizing a strategy to neglecting and filtering the alarms, finally utilizing an association analysis algorithm based on the fuzzy scene to calculate an event suspected degree corresponding to a source IP, and utilizing a big data analysis method to carry out statistic querying on alarm logs related to a suspected IP. According to the invention, the concept of fuzzy scene is innovatively provided, and a conventional analysis mode by constructing an attack scene is broken through, wherein the association analysis mode of the fuzzy scene is characterized in that deep excavation and association analysis are carried out on a large number of related safety alarm events with the IP address serving as the core. Related factors of the alarms, which may influence the IP safety, are analyzed, the factors are analyzed in an integrated manner, and a suspected degree value reflecting the safety condition of the IP is obtained by an event suspected degree calculation formula.

The present invention discloses a method for preparing a high-sensitivity nano-zirconia-doped dezocine molecular imprinting electrochemical sensor, the high-sensitivity nano-zirconia-doped dezocine molecular imprinting electrochemical sensor is prepared by use of dezocine as a template molecule, (5s, 8s)-3-(4'-chloro-3'-fluoro-4-propenyl-biphenyl-3-yl)-4-hydroxy-8-methoxy-1-aza-spiro [4.5] dec-3-ene-2-one as a single function monomer, azobisisobutyronitrile as an initiator, nano-zirconia as a dopant and maleic rosin ethylene glycol acrylate as a crosslinking agent, wherein the maleic rosin ethylene glycol acrylate is prepared from rosin as a raw material, and the method is simple and practical, and overcomes the shortcomings that a conventional analysis method is complicated, expensive in equipment, and low in sensitivity.

The invention provides a quick multi-index detection method for Paris polyphylla medicinal materials. The method comprises the following steps: collecting different batches of Paris polyphylla medicinal materials as samples; determining the content of various saponin monomers and total saponin in the samples through using a liquid chromatography method; determining the content of moisture in the samples through using a drying and weighing method; collecting near-infrared spectrum data of the samples; establishing a model by selecting an appropriate modeling wave band and a spectrum preprocessing method, quickly analyzing and quantifying various saponin monomers, the total saponin and the moisture through using a partial least squares regression method; quickly determining the content of various saponin monomers, the total saponin and the moisture in unknown samples through using the established model; judging whether the Paris polyphylla medicinal materials can be put into subsequent production links such as extraction according to the content of the total saponin and the content of the moisture, which are measured through using a near infrared spectroscopy technology. By applying a near-infrared analysis technology to determination of the content of saponin components and the moisture in the Paris polyphylla medicinal materials, compared with a conventional analysis method, the quick multi-index detection method for the Paris polyphylla medicinal materials is quick and efficient, and has an application prospect of field medicinal material screening and comprehensive quality evaluation.

The invention relates to a safety and stability analysis method for a power grid. The method comprises steps as follows: sensitivity calculation, risk result analysis, risk prevention and control and risk rating. The safety and stability analysis method has the advantages as follows: with adoption of the analysis method, all sets of failure equipment are sequenced through sensitivity calculation, a risk value of each risk source is given out, risk prevention and control are performed, the risk grade is given out according to regulations, and an important basis is provided for safety and stability analysis of the regional power grid; compared with a conventional analysis method, the analysis result is good, risks of the power grid can be well analyzed and assessed, risk rating by an operator and operation overhaul by the operator are facilitated, and the safety operation of the power grid is improved.

The present invention discloses a method for preparing a high-sensitivity nano-zirconia-doped pafenolol molecular imprinting electrochemical sensor, the high-sensitivity nano-zirconia-doped pafenolol molecular imprinting electrochemical sensor is prepared by use of pafenolol as a template molecule, (5s, 8s)-3-(4'-chloro-3'-fluoro-4-vinyl-biphenyl-3-yl)-4-hydroxy-8-ethyoxyl-1-aza-spiro [4.5] dec-3-ene-2-one as a single function monomer, azobisisobutyronitrile as an initiator, nano-zirconia as a dopant and maleic rosin ethylene glycol acrylate as a crosslinking agent, wherein the maleic rosin ethylene glycol acrylate is prepared from rosin as a raw material, and the method is simple and practical, and overcomes the shortcomings that a conventional analysis method is complicated, expensive in equipment, and low in sensitivity.

The invention discloses a method for improving longitudinal resolution of TOFD (time of flight diffraction) detection with a Burg algorithm based autoregressive spectrum extrapolation technology, and belongs to the technical field of ultrasonic non-destructive detection. The method adopts an ultrasonic detection system comprising a TOFD ultrasonic detection instrument, TOFD probes, a scanning device, software integrating TOFD conventional analysis functions and a computer. According to the method, TOFD scanning is performed on defects, collected time-domain aliasing signals containing upper-end and lower-end diffraction waves of the defects are subjected to autoregressive spectrum extrapolation processing; the -6dB frequency bandwidth is taken as the benchmark, defect signals in the frequency band range are selected, defect signals outside the frequency band range are estimated with the Burg algorithm, so that the frequency bandwidth is broadened, the longitudinal resolution of defect detection is improved, and the defect height quantification is realized. Compared with other methods for improving the longitudinal resolution of TOFD detection, the method does not have additional requirements for a hardware system, is not limited by exciting pulse time width of the detecting probes, and has higher engineering application value.

The invention relates to a method and system for searching for Internet of Things information based on two layers of DHTs. A label analysis and cracking service can be provided. The method comprises the steps that an information chain is built for all objects, only redirected information is stored in an upper-layer inter-domain enquiry service and points to the tail portion of the information chain, and the detailed information of all information chain nodes is stored in the intra-domain enquiry services of all the subareas of the lower layer respectively. The content local characteristic of information records and the route local characteristic of tracing inquiry can be guaranteed through the two layers of DHT structures. Meanwhile, multisource information records and mapping records can be really stored in a distribution mode, the self-government administration authority of all information providers cannot be violated, and inquiry time delay is lowered. In addition, two different analysis modes are disclosed and comprise a conventional analysis mode and a local-prior analysis mode. As is indicated by analysis, the conventional analysis mode is more suitable for locating inquiries and the local-prior analysis mode is more suitable for tracing inquiry.

The invention provides a cell subset annotation method based on single cell transcriptome sequencing. The cell subset annotation method comprises the following steps: 1) 10x barcode UMI identification; 2) genome comparison; 3) gene expression profile comparison; 4) low-quality cell filtering and data homogenization; 5) cell population clustering; 6) marker gene extraction; 7) cell subset annotation. The invention belongs to the technical field of biological information analysis, and provides a cell subset annotation method based on single-cell transcriptome sequencing, which solves the problem of single-cell subset annotation, so that single-cell sequencing data can support cell annotation according to a gene expression profile and / or a cell Marker gene after conventional analysis. Therefore, organic combination of different annotation methods is realized, and the distribution condition and related information of cell types are obtained.

The invention discloses a method for realizing the visualization of the result of questionnaires based on a multiple choice question type and solves the problems that the conventional analysis technology of the results of the questionnaires can not distinguish the differences of investigated objects and the analysis result is not intuitive; the method of the invention comprises the following steps: the result of the questionnaire is processed so as to obtain the result of the questionnaire with high dimensional vector; on the premise that the distance of the result of the questionnaire with high dimensional vector is kept to be invariant basically, the result of the questionnaire with high dimensional vector is reduced to be the result of the questionnaire with low dimensional vector which is below 3 dimensions; according to the result of the questionnaire with low dimensional vector after the dimension is reduced, coordinate points are marked in a selected coordinate system so as to obtain a display image of the result of the questionnaire; the invention uses the non-linear dimension reduction technique to convert the high-dimensional vector into the low-dimensional vector used for displaying the coordinate, can reflect the difference of the investigated objects visually and carry out classification and clustering to the investigated personnel based on the vision, thus realizing the visualization display of the result of the questionnaire.

The invention relates to a method for rapidly analyzing a xanthan gum fermentation broth based on near infrared spectrum technique. The method comprises the following steps: after sampling the fermentation broth, analyzing the biomass and the xanthan gum concentration in the fermentation broth according to a conventional method, and simultaneously collecting a near infrared spectrogram of the sample by an integral collecting accessory of a near infrared spectrometer; and establishing a mathematical model by selecting the spectrogram with the wave number ranges of between 5,500 and 6,100 m<-1>and between 4,500 and 9,000 m<-1> respectively and by a partial least square method, and then substituting the spectrogram of the sample to be detected into the model to obtain the fermentation brothcomponent information of the sample to be detected. The method has the advantages of high accuracy, good repeatability and simple operation, and saves the use of an organic solvent for conventional analysis.

The invention discloses a damping singular value decomposition-based method for analyzing transmission paths under a running condition. According to the adopted technical scheme, the method comprises the steps of designing a test condition for a to-be-analyzed mechanical system and measuring test condition data; constructing an equation through the acquired test condition data; solving the equation by applying a damping singular value decomposition algorithm to obtain a transmissibility function matrix; measuring a reference point response signal of the to-be-analyzed mechanical system under an actual working condition; multiplying the reference point response signal measured under the actual working condition by the identified transmissibility function matrix to obtain a transmission path contribution result; and sorting different path contributions to obtain contribution proportions of the transmission paths, thereby finishing the analysis of the transmission paths under the running condition. According to the method, the problem of truncation errors caused by performing truncation on a singular value of a coefficient matrix in conventional analysis of the transmission paths under the running condition is solved, so that the transmission path contribution calculation precision is improved.