75 results about "Composition analysis" patented technology

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.

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.

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.

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.

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 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.

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.

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.

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.

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.

1. Name of the designed product: liquid analyzer (bypass sampling type laser composition analysis). 2. Use of the designed product: used for measuring liquid to-be-measured objects and analyzing parameters such as composition. 3. Design points of the designed product: in shape. 4. Picture or photo best indicating the design points: perspective view 1.

The disclosed embodiments may include a material having a composition that includes a mesophase pitch material that comprises from about 5.0% to 95.0% and at least one of about Ts < lt >, about Ts < lt >, about Ts < lt >, about Ts < lt >, about Ts < lt >, about Ts < lt >, and about Ts < lt >; the mesophase pitch material has a viscosity of about 0.01 to 102 Pascal seconds (Pa.s) in a temperature range of T < = 475 DEG C, where Ts > = 150 DEG C, at least a portion of the mesophase pitch material may be oriented by a magnetic field having an intensity of about 0.25 to 6.0 Tesla. The portion of the mesophase pitch material may have an average molecular spacing of about 3.4 to 3.7 angstroms and an average molecular size of about 1 to 3 nanometers (nm).

The invention relates to the technical field of surveying and mapping geographic information, in particular to a surveying and mapping data asset evaluation system based on urban development prediction. Comprising a city development trend prediction unit, a data asset dynamic definition unit, an adaptive value composition and influence factor analysis unit, an intelligent feature construction and weight dynamic allocation unit, a prospective value model construction unit and an evaluation and decision support unit. According to the invention, an advanced city development trend prediction model is constructed, and the output result of the model is deeply fused to key evaluation links such as data asset identification, value composition analysis, influence factor screening, feature construction and weight distribution value model construction. Therefore, a surveying and mapping geographic information data asset evaluation system with dynamic response capability and a look-ahead judgment function is established. According to the system, full-life-cycle, multi-dimensional and high-precision evaluation of data assets can be realized, and scientific and reliable value support is provided for urban planning, modern governance and digital economic development.

The application discloses a load composition analysis method, device and equipment, and the method comprises the following steps: arranging the state change information of the acquired power grid load node into a state time sequence, wherein the state change information comprises voltage and power; and performing component prediction analysis on the state time sequence by using a preset load composition analysis model to obtain a load composition analysis result, wherein the preset load composition analysis model is obtained by training through a DDPG algorithm. Since the action mechanism and the evaluation mechanism exist in the DDPG algorithm, the model can be optimized into an analyzer that is more suitable for the actual load change condition. The application can solve the technical problems that the prior art has the problems of high complexity and poor analysis matching, and the analysis process is slow in calculation speed and low in accuracy.

A security inspection method for a security inspection robot (120). The method comprises: a security inspection robot (120) moving to a specific position near an inspected target (S210); the security inspection robot (120) detecting the inspected target by means of non-contact detection, so as to obtain detection data (S220); on the basis of the detection data, determining whether the inspected target is suspicious or whether the inspected target carries a suspicious article (S230); when it is determined, on the basis of the detection data, that the inspected target is suspicious, the security inspection robot (120) sending a first early warning, wherein the first early warning is used for prompting the use of a substance composition analysis module (123) of the security inspection robot (120) to inspect the suspicious article (S240); and in response to the suspicious article being placed in an analysis area, the security inspection robot (120) obtaining a composition analysis result of the suspicious article by means of the substance composition analysis module (123) (S250). Further provided are a security inspection robot (120) and a security inspection system (100). The present application can enhance the scope and flexibility of security inspection, effectively eliminate the dependence on security inspection staff to reduce the labor cost, and improve the efficiency of security inspection.

The invention discloses a self-diagnosis method and system for embedded mine monitoring equipment, and relates to the technical field of mine safety monitoring, and the method comprises the steps: identifying the time sequence correlation between an equipment state index and a candidate environment index from a monitoring data sequence, and screening out a key environment interference factor; separating a long-term change trend of the equipment state index in an environment stationary period, and capturing a short-term response form of the equipment state index in a key environment interference factor change period; according to the long-term change trend and the short-term response form, analyzing the change composition of the equipment state index, and distinguishing an environment related part and an independent deviation part; according to the method, a complete logic chain which is generated through data synchronous collection, time sequence correlation identification, trend and response form separation, change composition analysis, root cause judgment and maintenance guidance is constructed, so that the influence of environmental factors and equipment abnormity can be accurately stripped, and the root cause of the equipment state abnormity is defined.

The invention discloses an X-ray diffraction composition analysis system and method based on machine learning by utilizing domain knowledge. The machine learning-based X-ray diffraction composition analysis method using domain knowledge comprises: a step of receiving an input of X-ray diffraction data of a mineral; a step in which the input X-ray diffraction data is normalized and pre-processed for each data sample; a step of generating a clustering model by using the preprocessed X-ray diffraction data; generating a mineral composition analysis model by using the preprocessed X-ray diffraction data; receiving the input of new X-ray diffraction data, performing preprocessing, and classifying the preprocessed new X-ray diffraction data into conventional composition data or abnormal composition data by using the clustering model; and a step of estimating the mineral composition of new X-ray diffraction data classified as conventional composition data by analysis using the mineral composition analysis model.

The utility model discloses a sewage component analysis sampler relates to sewage sampling technical field, including main part including cylinder, the top and bottom of cylinder are connected with bucket cover and cylinder bottom respectively, and the bottom of cylinder bottom is connected with the supporting leg, is used for sampling collection to sewage, the utility model discloses in the period of water inlet pipe, overflow pipe and drain pipe in this period, the water inlet operation, overflow and drainage collection of taking all are handled through the sealed bucket, for some stink sewage treatment, avoid because the environment around, through the overflow cavity formed between the collecting bucket and overflow cylinder, the first sedimentation filtration to the sewage in the cylinder, and then the second sedimentation filtration of filter screen, can effectively filter out the granular impurity and floccy sundries of greater weight, avoid the influence sewage analysis's result.

1. Name of the design product: sample analysis state graphic user interface for electronic device. 2. Use of the design product: an electronic device. 3. Design points of the design product: in the interface content of the graphic user interface. 4. Picture or photograph best indicating the design points: design 3 front view. 5. The design claimed contains color. 6. Design 3 is designated as the base design. 7. Use of the graphic user interface: the graphic user interface of the present design is used in an "X-ray analysis device" that irradiates an X-ray to a sample to perform composition analysis and the like, and particularly for letting a user know the analysis progress state. The display mode of the graphic user interface changes by the user's action of housing a sample to be analyzed in a housing portion of the device, the action of logging an analysis schedule, or the analysis action of the analysis device. Design 1 front view indicates a state in which a sample plate that measures in an atmospheric or specific gas environment is arranged in housing portion 1, and a sample plate that measures in a vacuum is arranged in housing portion 2. Design 2 front view indicates that housing portions 3 and 4 are arranged with sample plates that measure in a vacuum. Design 2 front view indicates that sample 1 of housing portion 1 is being measured, and samples 2 and 3 are not measured. Design 3 front view indicates that measurement is in progress and measurement of samples 1 and 2 is complete. Design 4 front view indicates a case in which there is a sample that is not measured on the sample plate arranged in housing portions 3 and 4.

The invention discloses a natural bait composition analysis method for nematode fishes and application thereof. The analysis method comprises the steps of fish body sample collection, gastrointestinal inclusion collection and food composition analysis. According to the analysis method and the application thereof, evaluation is carried out by adopting the three indexes of the weight percentage of the bait, the occurrence rate of the bait and the relative importance index of the specific food, data redundancy of traditional feeding habit analysis indexes is removed, and the ecological interpretation capacity is enhanced. Compared with an environment DNA (eDNA) technology, the method directly reflects the ingestion behavior, and avoids false positive of eDNA, database dependency defects and the like; according to the method, the living body sample treatment process is optimized, the influence of an anatomical digestive system on natural bait pollution and the like is eliminated, meanwhile, the composition of the natural bait of the nematode fish can be comprehensively reflected, the method has the advantages of being rapid, accurate, easy and convenient to operate and the like, a new technical method is provided for stream fish ecology research, and the method is worthy of application and popularization.

The present invention provides a system and a method for performing evolved gas analysis and gas chromatography on a single sample within a single experiment. The system and the method enable the simultaneous acquisition of thermal and compositional data by splitting evolved gases from a micro-furnace into two analytical pathways. A first pathway is directed to an evolved gas analysis (EGA) tube, and a second pathway is directed to a gas chromatography (GC) column following temporary cryogenic trapping. After completion of the EGA stage, the trapped gases are released and transferred into the GC column via an internal cryo-trap, and a GC-MS analysis is performed on the same sample. Upstream and downstream splitter connections and multiple transfer lines route gases efficiently without requiring additional sample preparation.

The application discloses a kind of based on hidden explosion breccia pipe Volcano-intrusive type iron deposit metallogenic mechanism determination method, belong to mineral geological exploration technical field.The method includes: underground geological feature exploration, preliminary determination of ore-forming characteristics by the corresponding relationship of the zonal distribution characteristics of hidden explosion breccia pipe and surface radial cleavage;Magnetite geochemical test and iron source area tracing, use LA-ICP-MS micro area composition analysis and sulfur isotope test to verify the correlation of hidden explosion breccia pipe mineralization and deep magma;Ore body characteristic identification and verification, the matching of ore body and rock pipe, etc. Characteristics such as magnetite crystal form are used to verify the ore-forming characteristics;Metallogenic mechanism distinguishes and finally determines.The present application first discovers the superposition phenomenon of hidden explosion breccia pipe metallogenic mechanism and traditional mechanism in Volcano-intrusive type iron deposit, and the determination method is accurate and reliable, which can provide a theoretical basis for prospecting and mining in the boundary area of Volcano-intrusive type iron deposit, and effectively improve the efficiency of mineral exploration and mining.

The present invention relates to apparatuses, methods and systems comprising a frustrated total internal reflection (FTIR) based scanning device. The FTIR based scanning device comprises a transparent medium and one or more electromagnetic wave emitters that can emit scanning light into the transparent medium during a sample scanning procedure. One or more electromagnetic wave sensors, cameras and / or microscopes are directed towards a detection face of the transparent medium. These detection components receive scattered light from a sample contact face through the detection face. The apparatus utilizes the scattered light to render a sample surface topography or material composition of the sample contact face during the sample scanning procedure. Furthermore, the one or more electromagnetic wave emitters can comprise a plurality of LEDs or electromagnetic wave emitters corresponding to different wavelengths for generating a three-dimensional topography image from the scattered light.

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.

The application belongs to the field of ocean exploration technology and equipment, and discloses a deep-sea laser-induced plasma photo-acoustic combined detection system and method. The application realizes qualitative and quantitative analysis of target ore elements by collecting and analyzing characteristic spectral signals of plasma. The application realizes millimeter-level resolution thickness measurement by using high-frequency (up to 10MHz level) characteristics of reflection signals of wideband, short pulse sound waves excited by plasma expansion in rock layers. The excitation, collection and processing units of light and sound signals are highly integrated in a single system, and finally, in-situ, synchronous, same-point and high-precision integrated detection of seabed ore composition and thickness in deep-sea environment is realized. The system has high integration degree, good miniaturization and platform adaptability, high detection efficiency, low cost and good reliability, and has high-precision composition analysis and high-resolution thickness detection capabilities, and realizes real in-situ synchronous detection.

The invention discloses a method and a system for accurately and efficiently sampling, regulating and controlling components of a high-temperature alloy on line, a high-temperature-resistant automatic sampling unit comprises a mechanical arm and a sampling probe mounted at the tail end of the mechanical arm, and the probe adopts a tungsten-rhenium alloy matrix and is integrated with an internal circulating water cooling channel; and the online rapid component analysis unit comprises a laser-induced breakdown spectrometer and is used for performing in-situ excitation and spectrum acquisition on the high-temperature alloy melt sample acquired by the sampling probe. According to the method, automation and real-time performance of the whole process from sampling, analysis to regulation are achieved, the component adjustment period is shortened to be within 2 minutes from traditional 40-60 minutes, the control precision of key elements (such as Al, Ti and Nb) of the high-temperature alloy is improved to + / -0.05%, the product component qualification rate is improved to 98% or above, the production efficiency and the material performance consistency are remarkably improved, and the production cost is reduced. The method is suitable for industrial stable production of high-performance high-temperature alloy for aero-engines and gas turbines.

This invention discloses a method for detecting the volume fraction of W-containing Laves phase in a sample, belonging to the field of metallic material testing technology. This invention provides a method for intuitively detecting the volume fraction of W-containing Laves phase in steel. The laser-clad sample containing the W-containing Laves phase undergoes surface pretreatment to remove surface oxide scale and processing burrs. Ultrasonic cleaning thoroughly removes residual oil, wear debris, and other impurities from the sample surface. High-temperature heat treatment makes the previously difficult-to-distinguish W-containing Laves phase clearly visible. Fine processing of the detection surface ensures a smooth and flat surface, providing a clear observation interface for microscopic morphology observation and compositional analysis. After sample characterization, EDS energy dispersive spectroscopy is used to obtain elemental distribution characteristics. Quantitative calculations are performed on the unoxidized areas of the sample to obtain the volume fraction of the W-containing Laves phase. This provides important data support for material composition design, heat treatment process optimization, service life assessment, failure analysis, and mechanism analysis.