133 results about "Composition analysis" patented technology

In some examples, a code file in a development system is selected and the selected code file is segmented, using a language-specific parser, to create multiple parsed blocks. A block of the multiple parsed blocks is selected and a cryptographic hash function used to create a block signature that uniquely identifies the selected block. The block signature is compared to multiple signatures of blocks in third-party libraries. The multiple signatures are stored in an index. When the block signature matches one of the multiple signatures of blocks in third-party libraries, the index is used to determine a source file from which the selected block was copied. Vulnerabilities included in the source file and fixes to address the vulnerabilities are identified to enable a software developer to apply the fixes to the identified vulnerabilities.

The invention relates to a high-adaptability fused salt heat storage system in-situ monitoring method, which is characterized in that current and potential signals correspond to the concentration of impurity ions in fused salt through an electrochemical analysis method, and the current value of a characteristic peak corresponds to the concentration of impurities in the fused salt, so that sampling and chemical analysis are not needed; according to the method, the real-time concentration of the impurities can be obtained only by acquiring the characteristic peak current value through electrochemical scanning, the fused salt component analysis process is greatly simplified, the real-time monitoring of the ion concentration through the square wave voltammetry is an automatic and continuous process, and compared with a traditional analysis method, the method has the advantages of being high in sensitivity and analysis speed and suitable for popularization and application. And analyzable response can be generated to tiny concentration change. According to the invention, in-situ and continuous measurement of the concentration of the marker impurities in the molten salt can be realized, and timely and accurate feedback can be provided for changes of components and heat storage performance of the molten salt.

The invention relates to the technical field of material detection and analysis, and discloses a pyrite classification test method, which comprises the following steps: crushing and grinding a to-be-detected sample to prepare a standard detection sample; performing parameter detection on the standard detection sample to obtain spectrum time sequence data, component analysis data and microscopic image data; extracting spectral dynamic characteristics from the spectral time sequence data, extracting component composition characteristics from the component analysis data, extracting microscopic morphological characteristics from the microscopic image data, and then generating a phase determination index and a core characteristic subset; determining a phase classification result through a tree classification decision model according to the core feature subset; and generating a confidence label of a phase classification result according to the phase judgment index, and performing parameter detection on the standard detection sample again when the phase judgment index is lower than a preset threshold value. And the pyrite classification efficiency and accuracy are improved.

The invention provides a medical treatment suggestion auxiliary decision-making method for a calculus patient and a related device, and the method comprises the steps: obtaining the medical image data of the calculus patient, and the medical image data comprise a tomography image and ultrasonic echo data; according to the medical image data, stone position data, stone morphological characteristic data and stone density distribution data are determined; performing component analysis on the calculus according to the calculus density distribution data to obtain a calculus component analysis result; determining a stone displacement index and a volume growth rate according to the stone position data and the stone morphological characteristic data; according to the stone component analysis result, the stone displacement index and the volume growth rate, constructing a stone risk assessment coefficient; according to the calculus risk assessment coefficient and a preset risk threshold value, the treatment suggestion of the calculus patient is determined, treatment opportunity delay caused by observation delay can be effectively avoided, and the timeliness of urinary calculus clinical management is improved.

The invention relates to the technical field of ground feature component analysis, and discloses a hyperspectrum-based mineral alteration feature extraction method, which comprises the following steps: acquiring hyperspectral remote sensing image data of a to-be-processed region, and carrying out atmospheric correction and noise reduction preprocessing; extracting an initial end member spectrum after preprocessing; constructing an objective function of nonlinear spectral unmixing, wherein the objective function comprises a data fidelity term; an abundance constraint term; punishing a physical consistency regularization term of a deviation between a spectrum generated by the physical model and a current end member spectrum based on a differentiable radiation transfer model; solving the objective function to obtain a final end member spectrum and an abundance matrix corresponding to the end member spectrum; and identifying altered minerals by utilizing the final end member spectrum, and extracting mineral alteration characteristics of the to-be-processed region in combination with an abundance matrix corresponding to the end member spectrum. According to the method, the space-spectrum composite kernel function is introduced, the nonlinear unmixing problem is solved in the high-dimensional feature space, and the complex nonlinear mixing effect existing in the surface environment can be known.

The invention discloses a component analysis device in a metal smelting process, the component analysis device comprises an adjusting frame, a sample table, a workpiece positioning frame, a gas spraying protection assembly and an electrode cleaning unit, the adjusting frame is used for adjusting the distance between the surface of a workpiece and an electrode, and the sample table is used for bearing the workpiece and providing a stable platform for electrode detection; accurate adjustment of the distance between electrodes is achieved through lead screw transmission of the adjusting frame, the adjusting frame is matched with a sample table through hole to limit an arc excitation area, workpiece displacement is prevented by means of a needle-shaped clamping piece of the workpiece positioning frame, it is ensured that the arc is stably excited at the optimal distance, and meanwhile, the arc excitation efficiency is improved. The gas spraying protection assembly accurately controls the argon blowing amount through an electromagnetic valve and a thermal mass flow meter, waste gas is exhausted in combination with a centrifugal fan and a machining table micropore structure, a rotating brush is driven in cooperation with a connecting rod of the electrode cleaning unit, and all-directional cleaning of an electrode and a sample table cavity is achieved.

The invention discloses a boiler burner coking burning loss early warning system and method. The system comprises a data acquisition module, a feature extraction module, a dynamic early warning module and a visual interaction module. The data acquisition module comprises a flame image acquisition unit, a temperature monitoring unit, a pressure sensing unit and a flue gas component analysis unit, wherein the flame image acquisition unit adopts a multispectral CCD (Charge Coupled Device) camera array and is arranged around a burner fire observation hole. According to the invention, through multi-source data fusion and intelligent algorithm analysis, accurate early warning of coking burning loss of the boiler burner is realized, and a mode of combining image processing, temperature monitoring, pressure sensing and flue gas analysis is adopted to comprehensively capture coking characteristics; and through advanced algorithms such as deep learning and fuzzy evaluation, the accuracy and timeliness of early warning are improved.

The application belongs to the technical field of chemical detection, and particularly relates to a Raman-LIBS-mass spectrometry combined analysis device and analysis method. The Raman-LIBS-mass spectrometry combined analysis device comprises a multiple-reflection time-of-flight mass spectrometer, a LIBS spectrometer, a Raman spectrometer and a shared module. The shared module comprises a first incident light path system, a second incident light path system, a high-definition observation system, a vacuum sample bin, a vacuum system and a control system. The first incident light path system is used for generating a femtosecond laser beam and performing three-dimensional ablation on a sample. The second incident light path system is used for combining tunable lasers into a resonance ionization light path. Compared with the prior art, the application can realize in-situ micro-area ultra-high resolution element and isotope analysis and imaging, realize ultra-trace element, isotope analysis and isotope ratio analysis under strong matrix interference, and can also perform high-resolution molecular structure and composition analysis and Raman scattering imaging.

The invention discloses a calibration method of a human body composition analyzer. The method comprises the following steps: measuring through a human body composition analyzer to obtain a human body impedance spectrum of a measured object; fitting according to the human body impedance spectrum to obtain a target Cole-Cole model; determining a fitting residual error between the module value of the target Cole-Cole model and the human body impedance spectrum; and if the fitting residual error is smaller than or equal to a preset residual error threshold value, determining human body composition data according to the target Cole-Cole model. According to the technical scheme provided by the invention, the Cole-Cole model is fitted, and the fitting model is directly used for replacing the measurement value in the allowable fitting residual range, so that measurement abnormity caused by various interference factors can be effectively discriminated and automatically corrected, and the accuracy and robustness of the human body composition analyzer in different use scenes are improved.

1. The name of the design product: Howbody, a graphical user interface for human body composition analysis of electronic devices. 2. The use of the design product: for electronic devices. 3. The design points of the design product: in the graphical user interface. 4. The picture or photo that best shows the design points: front view. 5. The use of the graphical user interface: to guide users to interact with the device for human body composition analysis. 6. The change state of the graphical user interface: the front view is the initial interface, clicking anywhere on the picture jumps to interface change state figure 1; interface change state figure 1 automatically jumps to interface change state figure 2 after a certain period of time, the gray part in interface change state figure 2 is the content screen; interface change state figure 2 clicks the right side of the visitor login button to jump to interface change state figure 3; interface change state figure 3 inputs login information and clicks the login button to jump to interface change state figure 4; interface change state figure 4 clicks the next step at the bottom to jump to interface change state figure 5; interface change state figure 5 clicks the left side of the human body composition analysis button to jump to interface change state figure 6; interface change state figure 6 automatically jumps to interface change state figure 7 after a certain period of time; interface change state figure 7 automatically jumps to interface change state figure 8 after a certain period of time; interface change state figure 8 automatically jumps to interface change state figure 9 after a certain period of time; interface change state figure 9 automatically jumps to interface change state figure 10 after a certain period of time; interface change state figure 10 automatically jumps to interface change state figure 11 after a certain period of time; interface change state figure 11 automatically jumps to interface change state figure 12 after a certain period of time; interface change state figure 12 automatically jumps to interface change state figure 13 after a certain period of time; interface change state figure 13 clicks the left side of the report viewing button to jump to interface change state figure 14; interface change state figure 14 clicks the trend comparison button in the lower right corner to jump to interface change state figure 15.

Mining shovel with compositional multispectral and / or hyperspectral imaging and associated methods and systems are disclosed herein. In some embodiments, a mining detection system includes a mining bucket carrying a multispectral and / or hyperspectral imaging system and various sensors directed toward material entering and positioned within the bucket. The bucket can also carry a control enclosure housing image and sensor processing equipment that receives and analyzes the data collected by the multispectral and / or hyperspectral imaging system and the sensors. The disclosed systems and methods can provide real-time compositional analysis of mined materials at the mining site, which can be used to manage a mining field, including generating and transmitting instructions for where the material within the bucket should be delivered based on the data collected from the multispectral and / or hyperspectral imaging system and the sensors.

The application provides a resin type artificial stone chemical component analysis device, and relates to the technical field of material spectrum analysis. The device comprises an infrared spectrometer, a driving mechanism, a pretreatment assembly and a tablet pressing mechanism. One side of the infrared spectrometer is provided with a detection table. The surface of the detection table is provided with a detection groove. The surface of the detection groove is screwed with an inclined plate. The middle of the inclined plate is integrally formed with a positioning table. The surface of the positioning table is provided with a hole. One end of the infrared spectrometer is built with a tablet pressing mechanism. The middle of the detection groove is inserted with a driving mechanism. The single driving mechanism is used for simultaneously controlling the slow rotary motion of the two groups of pretreatment assemblies, so that the sample preparation and detection process can be synchronized, the utilization rate of the power equipment is improved, and the analysis efficiency is improved. The sample pretreatment, detection analysis and post-cleaning can be quickly and seamlessly connected, and the automatic resetting process is realized.

The present application belongs to the technical field of petroleum geological exploration and analysis, and particularly relates to a single-period oil inclusion composition analysis method based on crude oil inclusions. The present application combines fluorescence microscopic observation and quantitative fluorescence analysis methods, can accurately determine the diameter of oil inclusions, determine the appropriate grinding mesh, and identify the period of oil inclusions in the microscopic observation stage, and provides clear basis for the subsequent experimental process. The analysis of the present application covers the differential processing method of oil inclusions in calcite and quartz minerals, can efficiently and completely perform group composition pretreatment on oil inclusion-containing particles, is convenient to operate, has good reproducibility, and provides reliable technical support for revealing the oil and gas charging history and restoring the reservoir forming process. The present application adopts a crushing device equipped with a low-cost, large-capacity closed zirconium oxide grinding tank, realizes synchronous crushing of multiple samples on the basis of optimizing experimental equipment, and significantly improves the sample processing flux and experimental efficiency.

The invention belongs to the technical field of titanium alloy heat treatment, and relates to a method for determining the phase transformation point temperature of a titanium-copper alloy and application. The method comprises the following steps: preparing a Ti-5Cu alloy plate ingot sample by taking sponge titanium and copper as raw materials, and carrying out component analysis on the Ti-5Cu alloy plate ingot sample to evaluate the quality of the Ti-5Cu alloy plate ingot sample; if the quality of the Ti-5Cu alloy plate ingot sample is not qualified, preparing again until the quality of the Ti-5Cu alloy plate ingot sample is qualified; and determining the phase transformation point of the Ti-5Cu alloy plate ingot sample with qualified quality by adopting a specific method.

The invention concerns a method for analyzing a cigarette leaf composition, including the following steps: (1) preparation of a cigarette sample to be analyzed and single-grade tobacco leaf samples; (2) collection of a thermal analysis spectrum to obtain the composition and proportion of the tobacco leaves in the cigarette to be analyzed. The method can complete the analysis of the composition of finished cigarettes in a few minutes, and can obtain a clear formula composition and proportion values. It is objective, efficient, highly sensitive, versatile, and has good repeatability. It has unique advantages in the analysis of finished cigarette compositions in the tobacco industry.

In some examples, a code file in a development system is selected and the selected code file is segmented, using a parser, to create multiple parsed blocks. A block of the multiple parsed blocks is selected and a cryptographic hash function used to create a block signature that uniquely identifies the selected block. The block signature is compared to multiple signatures of blocks in third-party libraries. The multiple signatures are stored in an index. When the block signature matches one of the multiple signatures of blocks in third-party libraries, the index is used to determine a source file from which the selected block was copied. Vulnerabilities included in the source file and fixes to address the vulnerabilities are identified to enable a software developer to apply the fixes to the identified vulnerabilities.

A system and method for X-ray diffraction composition analysis based on machine learning utilizing domain knowledge is proposed. The method for X-ray diffraction composition analysis based on machine learning utilizing domain knowledge may include inputting X-ray diffraction data of a mineral; preprocessing the input X-ray diffraction data by normalizing the data per dataset, and generating a clustering model by using the preprocessed X-ray diffraction data. The method may also include generating a mineral composition analysis model by using the preprocessed X-ray diffraction data, and classifying new X-ray diffraction data into usual composition data or unusual composition data using the clustering model after inputting and preprocessing the new X-ray diffraction data. The method may further include estimating the mineral composition of the new X-ray diffraction data classified as the usual composition data through analysis using the mineral composition analysis model.

The application discloses a kind of based on pulse fast neutron material composition analysis method, equipment and storage medium, the application relates to material composition analysis technical field, the based on pulse fast neutron material composition analysis method includes: in current pulse cycle, according to first time window acquisition prompt emission signal, and according to second time window acquisition slow emission signal;Determine first analysis result based on the spectral peak position and spectral peak area of the first energy spectrum of the prompt emission signal;According to the element characteristic spectral peak area calculated by time decay curve according to the spectral line feature of the second energy spectrum of the slow emission signal, determine second analysis result;Fusion preliminary element information determined by the first analysis result, and sensitive element information determined by the second analysis result, the element content of material is obtained by inversion calculation.It realizes the technical effect of improving material composition analysis precision.

This invention relates to the field of cement building materials technology, specifically disclosing a method for improving the strength of silicate clinker based on mineral and crystal composition analysis. The method involves collecting 3-day and 28-day compressive strength test data of silicate clinker and quantitatively analyzing the mineral and crystal composition data using XRD. A mineral composition and strength zoning statistical method is employed to obtain appropriate C3S or C2S content to maintain a relatively good overall level of 3-day and 28-day compressive strength of the clinker. Then, a stepwise multiple linear regression analysis is used to establish the relationship between the 3-day and 28-day compressive strength of the clinker, clinker liter weight, f-CaO, the content of other chemical components, and the mineral composition and crystal content of the clinker. Specific analytical methods are used to determine optimization measures, further optimizing and improving the clinker strength. Using the above method, the 3-day and 28-day compressive strength of silicate clinker can be improved simultaneously.

The invention discloses a building evacuation simulation method considering influence of path multi-space parameters on evacuation behaviors, and belongs to the technical field of personnel evacuation simulation. The method comprises the following steps: determining a typical plane; performing typical plane traffic space composition analysis; analyzing typical plane traffic space parameters; building a building model; creating a moving mode and an interaction system of the virtual reality platform; an evacuation path selection experiment is designed; building an evacuation path selection model; development of an evacuation simulation process; and improving the evacuation model flow. According to the method, the influence of evacuation path multi-space parameters on evacuation path selection is integrated into a building evacuation model, and an improved evacuation model is constructed, so that an evacuation simulation result better conforms to a real situation. Evacuation simulation result evaluation based on the method provides a framework for knowledge-intensive building safe evacuation design, and the evacuation time can be shortened by 31.71% at most by optimizing a building traffic space plane based on the method.

The invention discloses a portable Raman liquefied natural gas composition analysis device and method. The portable Raman liquefied natural gas composition analysis device comprises a sample pool, and the sample pool comprises a sample pool inner container, a sample pool vacuum outer container and a heat preservation layer which are sequentially arranged from inside to outside in a sleeving mode; a sample circulating cooling inner cavity is formed in the sample cell liner; a gap is formed between the sample cell inner container and the sample cell vacuum outer container to form a vacuumizing heat preservation outer cavity; a Raman probe insertion pipeline protruding outwards is arranged above the sample pool, and an insertion opening is formed in the top of the Raman probe insertion pipeline; a gas inlet pipeline is arranged in the sample pool, and one end of the gas inlet pipeline extends out of the sample pool and is used for being connected with an LNG pipeline. By designing the special LNG sample pool, LNG liquid sampling can be carried out, and the problem that an LNG station cannot directly measure the composition of the LNG liquid by adopting a Raman spectrum due to lack of a Raman interface is solved.

The invention relates to a nondestructive measurement and analysis method and system for a structure and components of a nano-film. The method comprises the following steps: firstly, carrying out angle-resolved photoelectron spectroscopy test on a to-be-tested film at different emergent angles, and fitting energy spectrums of different angles and elements to obtain a fitting result; analyzing the result to obtain chemical components and a preset film layer structure sequence, and establishing an initial film structure model; fitting a GIXRR experiment curve based on the current model, and obtaining structure parameters such as the thickness, the density and the interface roughness of a film layer; model parameters are input into an ARXPS simulation program, and a simulation result containing thin film electric field intensity and photoelectron intensity of different chemical components is output; analyzing whether the structure parameters and the simulation result are matched with the fitting result, if not, optimizing the model and repeatedly fitting, and if yes, outputting the current model as the structure and component analysis result of the to-be-tested film. Compared with the prior art, the method has the advantages of high analysis result accuracy, high reliability and the like.

This invention relates to the field of membrane separation, specifically to a membrane separation system and method for removing nitrogen from carbon tetrafluoride. The invention creatively connects two complementary membranes—a highly permeable, moderately selective organic membrane and a highly selective, moderately permeable molecular sieve membrane—in a two-stage series configuration via an intelligent composition analysis and control unit. The permeate composition of the first-stage membrane is the key control point determining the final separation performance. Only when the carbon tetrafluoride concentration is precisely controlled within 90-92% can the second-stage highly selective membrane achieve maximum efficiency, thereby simultaneously achieving ≥99.0% purity and ≥95.0% recovery rate.

1. The name of the design product: laser-induced breakdown spectroscopy equipment. 2. The use of the design product: analyzing and identifying the elemental composition of the measured substance by the method of laser-induced atomic spectroscopy (LIBS). By exciting the sample plasma with high-energy laser and combining with ultra-high resolution spectrometer and automatic focusing function, fast and accurate material composition analysis is realized. It is widely used in the fields of geology, metallurgy, environmental monitoring, material science, etc. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

The present invention relates to the technical field of separation of direct coal liquefaction oil, and provides a method for separating and purifying monocyclic aromatic hydrocarbons from direct coal liquefaction oil. The method comprises: (1) performing fractional distillation and composition analysis on direct coal liquefaction oil to determine a fraction having the highest content of monocyclic aromatic hydrocarbons; (2) removing low-carbon alkanes and cycloalkanes from a selected fraction by means of column chromatography; (3) separating toluene, a monocyclic aromatic hydrocarbon mixture, and high-carbon alkanes by means of an atmospheric and vacuum distillation column; (4) purifying ethylbenzene from the monocyclic aromatic hydrocarbon mixture by means of an extractive distillation column; and (5) purifying p-xylene by means of a solvent recovery column. The separation method provided by the present invention can make full use of the composition characteristics of direct coal liquefaction oil to obtain two or three high-purity monocyclic aromatic hydrocarbon monomers at a time without introducing additional chemical reaction steps, showing significant economic and environmental benefits.

The utility model discloses a kind of soil mechanical composition analysis data collectors with early warning function, including fixed frame and be used for blanking blanking box, the side position of the fixed frame is fixed with display component;The bottom position of the fixed frame is fixedly installed with servo motor, the output end position of the servo motor is fixed in the side of shaking screen mechanism;The screen piece is limited inside two groups of fixed plate, and the rear side position of the fixed plate is provided with blowing mechanism, and the setting avoids the residue of soil in blanking box interior.This soil mechanical composition analysis data collector with early warning function is provided with shaking screen mechanism, by the operation of shaking screen mechanism, multiple screen pieces can be shaken on the top of fixed frame, and then soil particles can be avoided to be left on the top of screen piece, and the residual particles in blanking box interior can be cleaned and discharged by the operation of blowing mechanism.

1. Name of the product in this design: X-ray fluorescence spectrometer (XD-5). 2. Application of this design: This design is an X-ray fluorescence spectrometer. It is an instrument that uses primary X-rays or other photon sources to excite atoms in the substance to be tested, causing them to produce fluorescence (secondary X-rays), thereby performing material composition analysis and determining elemental content. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

A method for analyzing light n-alkane components and carbon isotopes in deep and ultra-deep source rocks includes: (S1) subjecting a 5 A molecular sieve column to aging; (S2) pyrolyzing a source rock; and allowing a pyrolysis product to enter the 5 A molecular sieve column; where n-alkanes are adsorbed and retained by the 5 A molecular sieve column; allowing an outflow to pass through a dividing plate and an empty column or a weak polarity column to be discharged; and (S3) performing programmed heating such that the n-alkanes adsorbed on the 5A molecular sieve column are successively desorbed according to molecular weight, and then pass through the dividing plate and the HP-5 or DB-5 column to enter a mass spectrometer for composition analysis or isotopic analysis.

The invention discloses a determination method for a diesel oil burning resistance test. The determination method comprises the following steps: a, performing composition analysis on diesel oil: a1, separating components of a diesel oil sample; a2, performing chromatographic analysis; and b, performing a diesel oil bench test on the rest diesel oil after the test analysis is completed, namely measuring the diesel oil fuel consumption per hundred kilometers under five working conditions. Diesel oil is subjected to composition analysis, after composition analysis is completed, the remaining diesel oil is analyzed through a diesel oil bench test, and a report about the influence of different compositions of the diesel oil on a diesel oil engine is obtained; therefore, the best composition proportion with the lowest diesel oil consumption is obtained, then the composition proportion required by the crude oil is deduced and used for guiding the blending work of the crude oil required in oil refining production, and the economic benefit and the diesel oil burning resistance are improved.

Disclosed herein is a metal dust analysis system according to an exemplary embodiment of the present disclosure, comprising: a dust analysis section wherein the dust analysis section is configured to: generate an X-ray transmission image of each sample and a reference sample; processing the X-ray transmission image of the sample to generate mapped image data of the sample in which metal dust having a diameter within a predetermined range is selectively displayed; and generating component analysis data for each of the metal dusts identified in the mapped image data.