175 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 discloses an intelligent agent spraying decoking system for energy-saving decoking of a hearth, and relates to the technical field of decoking of industrial boilers, the intelligent agent spraying decoking system comprises a sensing module used for collecting coke scale characteristic data, and the data comprises the temperature, thickness, component distribution and adhesion strength of coke scale; the module is combined with a temperature sensor, a component analyzer and image detection equipment for cooperative work, and multi-dimensional scorch scale characteristic information is obtained in real time. According to the intelligent agent spraying decoking system for hearth energy saving and decoking, through cooperative use of the sensing module, the control module, the agent storage module, the agent spraying module and the feedback module, intelligent and accurate decoking is achieved, the diversity of coke scales can be effectively dealt with, the heat efficiency of a boiler is improved, the energy cost is reduced, and the safety problem caused by the coke scales can be prevented; the problems that a traditional decoking method is low in efficiency, poor in applicability and insufficient in adaptability to coke scale types are solved.

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 discloses a method for detecting trace elements in a GH4169 high-temperature alloy by using secondary ion mass spectrometry, which specifically comprises the following steps: A1, firstly, carrying out necessary pretreatment on a GH4169 high-temperature alloy sample to remove surface pollution and an oxide layer; a2, selecting a time-of-flight secondary ion mass spectrometer, setting proper analysis parameters, and selecting a double-plasma O2 + ion source. The invention relates to the technical field of metal material trace chemical component analysis. According to the method for detecting the trace elements in the GH4169 high-temperature alloy by using the secondary ion mass spectrometry, a sample pretreatment process of the GH4169 high-temperature alloy is optimized, a double-plasma O2 + ion source and a low-energy electron gun charge compensation system of a time-of-flight secondary ion mass spectrometer are innovatively configured, deep analysis and a three-dimensional reconstruction algorithm are combined, and the trace elements in the GH4169 high-temperature alloy are detected. The sensitivity, the spatial resolution and the data reliability of trace element detection are obviously improved.

A system is presented for analyzing lubricant composition of a vehicle engine. The system includes the vehicle engine; sensors; a controller in communication with the sensors; and a lubrication sampling apparatus coupled to the controller and the engine's lubrication system. The sampling apparatus is configured to: transfer a first sample of the lubricant into a first sample container and a second sample of the lubricant a second sample container. The controller is configured to: receive first sensor readings over a time period of the first sample and second sensor readings over a time period of the second sample; receive a composition analysis of the first sample and a composition analysis of the second sample; and generate a report comprising: the first composition analyses, the first sensor readings, the second composition analysis, and the second sensor readings.

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 relates to the technical field of animal body component detection, and provides a portable animal body component analyzer, which comprises a data acquisition module, a data processing module, an analysis module, a data processing module, an analysis module and an analysis module, wherein the data acquisition module is responsible for acquiring multi-frequency bioelectrical impedance data and near infrared spectrum data of domesticated pets; the data processing module is used for carrying out noise filtering, dynamic baseline correction and normalization processing on the collected original data; the algorithm analysis module uses a variety inference and dynamic correction method to correct data errors, extracts body fat distribution, tissue metabolism and body fluid distribution characteristics through a multi-modal data fusion method, and calculates growth and development health scores through an integrated learning supervision model; the database management module stores individual information, appearance characteristics, measurement data and analysis results, and supports data query and backtracking; the user interface is used for inputting animal information and hair states and displaying analysis results, variety similarity, body composition change trends and health scores.

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 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, an LIBS spectrometer, a Raman spectrometer and a common module; the common 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 denudation on a sample; and the second incident light path system is used for combining the tunable laser into a resonant ionization light path. Compared with the prior art, in-situ micro-area ultrahigh-resolution element and isotope analysis and imaging can be achieved, ultra-trace element and isotope analysis and isotope ratio analysis under strong matrix interference are achieved, and meanwhile high-resolution molecular structure and composition analysis and Raman scattering imaging can be conducted.

The invention discloses a time-resolved LIBS (laser-induced breakdown spectroscopy) system and a sample component analysis method and product thereof, and relates to the field of laser-induced breakdown spectroscopy. After the sample is irradiated by the ablation laser, plasma is generated; in the plasma expansion and cooling process, excited state atoms and ions are subjected to energy level transition, and a characteristic radiation spectrum is released; the delay control module sets different delay time so as to control the working time interval of the laser generator and the spectrograph; the spectrograph receives the characteristic radiation spectrums at different delay times by using an optical fiber probe, stimulates the characteristic radiation spectrums at the integration time, and determines characteristic radiation spectral lines of different elements; and the computer analyzes the characteristic radiation spectral lines, determines spectral line intensities of different elements, and determines a component result of the sample in combination with the calibrated spectral line intensities and the element content function curve so as to improve the accuracy of the component result of the sample.

A substance composition analysis system includes: a neutron source (10) configured to generate neutrons acting on a material (IM) to be inspected; the neutron moderation structure (20) surrounds the neutron source (10) and is configured to moderate neutrons generated by the neutron source (10); the material accommodating cavity (30) is configured to accommodate the detected material (IM); the detector assembly (40) is configured to capture a characteristic signal generated after the detected material (IM) is bombarded by neutrons; wherein at least part of the neutron moderation structure (20) is located in the material containing cavity (30), so that at least part of the neutron moderation structure (20) is buried in the detected material (IM). The utilization rate of neutrons emitted by the neutron source can be 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.

A coincidence technique-based X-ray detection device and composition analysis method are provided, wherein the X-ray detection device includes: a sample holding device; an excitation unit for outputting X-rays with continuously adjustable energy; detectors comprising two SiC semiconductor detectors and two SiPIN semiconductor detectors; a signal processing unit for performing amplification, analog-to-digital conversion and classification on the detected signals to obtain energy information; a data processing device connected to the signal processing unit and used for analysis and calculation according to the energy information and determining element type and content of the sample to be tested, wherein the data processing device comprises a processor and a memory, the processor is used for executing following program modules stored in the memory: a storage module, a baseline recovery module, a calibration curve construction module, an extraction module, an effective energy information determination module, and a peak comparison module.

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.

To provide a composition analysis device for a sample which can improve the detection sensitivity by lowering a resonance frequency of a holding plate so as to match a frequency of a photoacoustic wave.MEANS FOR SOLVING THE PROBLEM: A composition analysis device comprises: a holding plate 12 composed of a sample mounting section 14 that is arranged inside a holding frame 11 and is arranged to be spaced apart from an inner surface side of the holding frame 11, and a plurality of fixed support sections 13 that mechanically connect the sample mounting section 14 to a plurality of fixing sections 11F provided to be spaced apart from each other in the holding frame 11 and support the sample mounting section 14; a vibration detection section 16 that is provided on an opposite sample mounting surface on the opposite side to the sample mounting surface on which a sample of the sample mounting section 14 is placed; a light source 27 that irradiates the sample placed on the sample mounting surface with light in a specific wavelength; and a vibration signal detection section 22 that detects vibration caused by transmitting the photoacoustic wave of the sample generated due to irradiation of the light in the specific wavelength from the light source 27 to the sample mounting section 14 via the vibration detection section 16, and obtains the vibration intensity.SELECTED DRAWING: Figure 2

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.

A molten metal bath composition analysis system includes: a laser oscillator that oscillates a laser beam; a cylindrical probe that includes an opening end immersed in a molten metal bath, supplies an inert gas toward the opening end, and guides the laser beam to the opening end to irradiate a molten metal with the laser beam; and a detector that detects and spectroscopically analyzes plasma emission of the molten metal caused by the irradiation with the laser beam, wherein at least one of the position of the opening end of the cylindrical probe in the molten metal bath and the angle of the cylindrical probe with respect to a vertical direction can be controlled.

The invention relates to the technical field of textile fiber component analysis, and discloses a textile fiber component qualitative online analysis system and method.The system comprises a spectrum collection module, a data processing terminal and a component recognition center, and the component recognition center comprises a spectrum preprocessing unit, a feature matching unit and a component judgment unit. The spectrum acquisition module acquires multi-band spectrum data of a textile sample in real time, and the data processing terminal receives an instruction to perform spectrum data format conversion. The spectrum preprocessing unit determines an interference section by recording spectrum distortion and a baseline correction interval, and controls the processing terminal to generate a spectrum characteristic matrix to calibrate component distribution on the surface of a sample; a feature matching unit generates a component report according to matched fiber types; when the component determination unit detects an abnormal spectrum, re-measurement is controlled in an interference section. The system realizes online real-time qualitative analysis of the textile fiber components, enhances the anti-interference capability, and can be widely applied to the field of textile fiber component analysis.

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 invention discloses a large-dynamic scattering terahertz material imaging and composition analysis device and method. The device includes a dual-port frequency-sweep excitation signal generation and intermediate frequency signal detection module, a two-way low-noise amplification and mixing module, a low-noise amplification module, an IQ mixing amplification module, a data acquisition module, and an industrial control computer, all of which are sequentially connected. The dual-port frequency-sweep excitation signal generation and intermediate frequency signal detection module are respectively connected to a terahertz signal frequency-doubling transmission module and a terahertz signal frequency-mixing detection module via a switch matrix. A signal transmission adjustment device, a nanoprobe, a piezoelectric body, a two-port excitation source, and a three-dimensional scanning frame for moving the sample to be tested are provided between the terahertz signal frequency-doubling transmission module and the terahertz signal frequency-mixing detection module. The device and method of the present invention can break through the diffraction limit and achieve nanoscale imaging; possess near-field terahertz scattering spectrum analysis capabilities, realize material composition analysis, and achieve large-dynamic testing with an accuracy exceeding 100dB across the entire frequency band.

The invention discloses a method for predicting the performance of a pump turbine in a variable-speed pumped storage project, which adopts a composition analysis method to determine the basic structures of a plurality of correction models, and considers that the turbine performance is closely related to the specific speed thereof under the condition of variable speed. The proportion law is divided into two classes according to the rotating speed ratio, and basic function structures of the two classes are verified respectively. After power and power constructor functions are constructed, the power and the power constructor functions are substituted into the whale optimization algorithm one by one to determine coefficient values of the whale optimization algorithm, and after the coefficient values are determined, optimal correction models, namely a frequency constructor function and a power constructor function, are effectively screened out by comparing R2 values of all the correction models. The method is accurate and fast in calculation and high in calculation precision.

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.