43 results about "MIXTURE COMPONENT" patented technology

The invention discloses an asphalt mixture component segmentation method, device and equipment, and relates to the technical field of asphalt pavement construction control, and the method comprises the steps: obtaining an initial two-dimensional image of an asphalt mixture section, and carrying out the preprocessing of the initial two-dimensional scanning image, and the preprocessing comprises the contrast enhancement and light field correction. Component division is carried out on the preprocessed image through a double-threshold segmentation method, morphological post-processing is carried out on the initial segmentation image, and each separated component segmentation image is obtained; and calculating the difference value between the image area ratio and the actual volume ratio of each component segmentation image, and calculating the relative error between the image screening grading and the actual screening grading of the aggregate components. When the difference value or the relative error exceeds the preset threshold range, the image processing parameters are adjusted, the segmentation operation is executed again, the target segmented image is obtained, the difference value and the relative error of the target segmented image are both within the preset threshold range, and the problem that the segmentation precision of the asphalt mixture components is insufficient is solved.

A method and apparatus are disclosed for processing GNSS measurements. The GNSS measurements include carrier phase measurements. A state vector is defined, comprising state variables. A posterior probability density for the state vector is obtained, which is based on non-Gaussian residual error models for the GNSS measurements. A search of the posterior probability density is performed, to identify a set of modes of the probability density. State information is inferred based on the posterior probability density, using the identified set of modes. The search comprises transforming the posterior probability density into a mixture model comprising a plurality of mixture components, wherein each mixture component is a multivariate distribution.

Aspects of the subject disclosure may include, for example, identifying a number of mixture components of a mixture ensemble of an artificial neural network. The neural network is trained according to a set of features and a corresponding set of output values associated with the set of features. A set of mixture weights and a set of mixture parameters of the mixture ensemble are determined, and a set of posterior probabilities is calculated according to the sets of mixture weights and mixture parameters. The sets of mixture weights and mixture parameters are revised according to an optimization process to obtain a revised set of mixture weights determined according to a sum of the set of posterior probabilities and a revised set of mixture parameters determined according to a solution of a numerical optimization. Other embodiments are disclosed.

The determination of chemical mixture components is vital to a multitude of scientific fields. Oftentimes various spectroscopic methods are employed to decipher the molecular composition of these complex mixtures. The sheer density of spectral features of different molecules present in such observations may make unambiguous assignment to individual species using these methods challenging. Yet, components of a mixture are commonly chemically related due to environmental processes or shared precursor molecules. Therefore, along with investigating the spectroscopic signals, analysis of the structural and chemical relevance of a molecule is an important consideration when determining which species are present in a mixture. Machine-learning molecular embedding methods are used with a relevance module to determine the likelihood of a molecule being present in a mixture based on the other known species, chemical priors, and spectroscopic information. By incorporating this metric, the mixture components can be identified with extremely high accuracy (∼ 97%).

A method and apparatus are disclosed for processing GNSS measurements. The GNSS measurements include carrier phase measurements. A state vector is defined, comprising state variables. A posterior probability density for the state vector is obtained, which is based on non-Gaussian residual error models for the GNSS measurements. A search of the posterior probability density is performed, to identify a set of modes of the probability density. State information is inferred based on the posterior probability density, using the identified set of modes. The search comprises transforming the posterior probability density into a mixture model comprising a plurality of mixture components, wherein each mixture component is a multivariate distribution.

A cutting fluid multi-component online mixing nozzle based on minimal lubrication, characterized by comprising: a protective cover, a shrink tube, a mixing tube arranged at the end of the shrink tube, a first support ring, a second support ring, a cone-top spiral, a flat-top spiral, a first bracket, a second bracket, a third bracket, a one-way valve, a telescopic tube, a adapter, a piston, a first air pipe, a second air pipe, a third air pipe, a first oil pipe, a second oil pipe, and a fourth air pipe. Through this invention, the various components of the cutting fluid based on minimal lubrication can be mixed online uniformly; the online mixing nozzle has an anti-overflow airflow protective cover to reduce the diffusion of the cutting fluid mixed components into the surrounding air and reduce air pollution; the radius and flow rate of the anti-overflow airflow protective gas can be adjusted according to the processing requirements; a high-speed compressed air flow is injected into the outlet of the shrink tube to enhance the penetration of the cutting fluid mixed airflow and improve the cooling effect.

The invention provides a modeling-free mixture component intelligent identification method and system, and the method comprises the steps: collecting a plurality of mixture spectrums of a to-be-detected sample, and carrying out the preprocessing of the plurality of mixture spectrums; arranging the plurality of preprocessed mixture spectrums into a matrix, and separating and outputting a plurality of source spectrums; constructing a standard spectrum library, and correcting standard spectrums in the standard spectrum library and the separated spectrums; detecting a local extreme value of each source spectrum to obtain a peak position set; matching the peak position set with each pure component standard in a standard spectrogram library, and judging the number of intersections; and if the number of intersections is greater than a preset value, determining that the components exist, and outputting a list of existing components and a corresponding matching degree or similarity score. According to the method, the existence conclusion is output without modeling, the problem that a traditional method depends on modeling and is time-consuming in verification is solved, and lossless, rapid and accurate qualitative verification of specific components in the textile mixture is achieved.

The invention discloses a method for measuring the content of mixed components in a reactor in the reaction process of synthesizing ethylene oxide through ethylene oxidation, belongs to the technical field of detection and analysis, and particularly relates to a method for measuring the content of mixed components in the reactor in the reaction process of synthesizing ethylene oxide through ethylene oxidation, which comprises the following steps: simultaneously injecting an ethylene oxidation reactor sample into a gas chromatograph with two channels through serial injection ports, and separating the to-be-measured sample through multi-dimensional chromatography. The channel I is used for analyzing hydrocarbon substances, the channel II is used for analyzing non-condensable gas, heavy components in a sample in the channel II are reversely blown, pollution of the heavy components to a gas chromatographic column is eliminated, high-concentration oxygen and argon are separated at low temperature, and each component in the sample is quantified by an external standard method. According to the method, the content of each component in the reactor sample in the reaction process of synthesizing ethylene oxide through ethylene oxidation can be rapidly and accurately determined by performing gas chromatographic analysis on the sample, the accuracy is high, the precision is high, and the production efficiency is improved.

The present invention relates to a method and a manufacturing apparatus (20) for producing a sheet (21) and / or a film (22), in particular for manufacturing card bodies (2) and / or security elements (6) for portable data carriers (1), as well as corresponding card bodies (2) and / or security elements (6) for a portable data carrier (1), wherein the method comprises the following steps: providing at least one polylactic acid plastic as a first mixture component (A) of a base mixture (G); providing at least one bio-based plastic as a second mixture component (B) of the base mixture (G); mixing the base mixture (G) from at least the first mixture component (A) and at least the second mixture component (B); and extruding the sheet (21) and / or the film (22) from at least the base mixture (G).

The application discloses a method for reducing lincomycin B component in a lincomycin fermentation process, which comprises adding soybean protein hydrolysate A in the lincomycin fermentation process, so that the lincomycin B component can be effectively reduced, and the A component titer can be improved. The soybean protein hydrolysate A is a complex amino acid mixture obtained by enzymolysis of soybean raw materials, and the components include peptide segment A, free amino acid solution A, water or others, wherein the mass percentage of the peptide segment A is 30-35%, the mass percentage of the free amino acid solution A is 55-65%, and the water and the others account for 5-15%. After optimization, the production level of the B component in a 50 L fermenter is at least 166 mu g / mL, which is reduced by more than 75% compared with the yield of the B component in the original fermentation culture method, the product quality and the production efficiency are improved, and the method is suitable for industrialized scale production.

This invention discloses a maneuvering target tracking method based on trajectory Poisson-Dobernal filtering. By fusing interactive multi-model and trajectory Poisson-Dobernal filtering methods, it achieves accurate tracking of maneuvering target trajectories. This invention fills a technological gap in the current field of maneuvering target tracking, providing an effective solution for achieving more accurate and real-time target tracking. This invention employs the Poisson-Dobernal approximation (PMB) concept, using KL divergence to obtain the Poisson-Dobernal components from the Poisson-Dobernal mixture components after filtering updates. This overcomes the computational complexity problem caused by the large number of Poisson-Dobernal mixture components in existing technologies, thus reducing algorithm complexity, improving filtering efficiency, and enhancing real-time filtering performance.

The invention discloses a rapid repairing method for a ship lock concrete structure, and belongs to the technical field of concrete structure entity detection of water transportation engineering. Comprising the following steps: weighing preset parts of filling mixed components; pouring the filling mixed component into a handheld stirring tank body, and continuously stirring for a preset time to obtain a filling material; after coring of the concrete structure is completed, cleaning and impurity removal are conducted on the holes; an injection mold frame is arranged at the hole, and the hole is filled with the filler in the stirring tank body by means of the injection mold; after filling is completed, the stirring tank body is removed; the injection mold is used for secondary insertion tamping, so that the hole is densely filled, and then the injection mold is removed; and the external application framework is pressed into the surface of the hole in the vertical direction of the surface of the hole and then flattened, and repairing is completed.

This invention discloses a method for identifying coal and coal gangue based on capacitance tomography. It utilizes a differential capacitance tomography electrode sensor to collect capacitance measurement data of coal, coal gangue, or mixtures thereof within the measured area. Direct coupling capacitance between electrodes is canceled by applying an inverse excitation signal. The raw data is preprocessed, and stable and valid capacitance measurements are selected to form a data vector. A regularized iterative algorithm is used to solve for the dielectric constant distribution, combining a preset sensitivity distribution function. An initial solution is obtained through regularization, and then iteratively updated until convergence. Image reconstruction is performed based on the dielectric constant distribution. After normalization and edge detection, a capacitance tomography image representing the location, size, and dielectric differences of the materials is generated. The image grayscale values ​​are analyzed, and coal and coal gangue regions are automatically identified and marked according to a preset dielectric constant threshold range. Simultaneously, their centroid coordinates and equivalent areas are calculated, achieving non-destructive and accurate identification of the mixture components.

The invention discloses an intelligent sinter alkalinity control method based on mixed information, and belongs to the technical field of intelligent sinter production. The method comprises the following steps: acquiring test data of raw materials of iron, silicon, aluminum, magnesium and calcium and online detection data of a mixture in real time, and constructing an input data set after standardization treatment; a particle swarm optimization (PSO) algorithm is adopted to optimize hyper-parameters of a support vector regression (SVR) model, a weighted multi-fusion data prediction system is constructed, and a mixture component enhancement prediction model (MCEP) is formed; calculating a short-period and long-period mean value sequence through time grouping, optimizing prediction precision in combination with dynamic weight adjustment and clustering analysis, and updating the model in real time based on production conditions; and finally, realizing closed-loop control through component fluctuation mean value analysis and early warning. The method has remarkable benefits in the aspects of improving production process efficiency, reducing cost, optimizing resource utilization, improving product quality and promoting production intelligence.

The invention belongs to the technical field of analysis and detection of high polymer materials, and provides a Cu < 2 + >-PLL alkaline combined reagent and application thereof.By means of the Cu < 2 + >-PLL alkaline combined reagent, the content of polyethyleneimine in a mixture sample of polyethyleneimine and a polyamino compound can be accurately and efficiently tested; the method solves the problems of complicated operation, long analysis time, poor accuracy and the like when the existing method is used for measuring the content of polyethyleneimine in similar mixture samples, meets the requirements of the fields of biomedicine, material science and the like on component analysis of the mixture, and provides reliable technical support for quality control and performance research of related products.

1. The name of the product of this design: front panel of the chromatography system. 2. Purpose of the product of this design: The overall product is used as a chromatography system for separating mixture components, and the product for which protection is sought is partially used as the front panel of the chromatography system. 3. The key points of the design of this design product are the shape, pattern and combination of the parts of the product for which protection is sought. 4. The picture or photo that best illustrates the design points: three-dimensional picture. 5. Other circumstances that require explanation: This design requests protection of partial appearance.

One form of a method for solvent-free electrode production comprises: providing mixture constituents for production of a coating material, where at least one mixture constituent is a fibrillatable material; processing the mixture constituents in a multishaft extruder to create the coating material, wherein the fibrillatable material is at least partly fibrillated and the mixture constituents are bound, especially without the use of solvents; and applying the coating material to a carrier foil.

The invention relates to a device (200) for separating mixture components of a water vapor-gas mixture. The device (200) comprises a jet pump (220) having a drive fluid connection (222) for introducing a drive fluid (205), a suction fluid connection (224) for introducing a water vapor-gas mixture as a suction fluid (215), and an outlet connection (226) for outputting an outlet mixture (225) comprising the drive fluid (205) and the suction fluid (215). Here, the gas component of the water vapor-gas mixture comprises carbon dioxide. The jet pump (220) is designed to discharge an outlet mixture (225) as a biphasic outlet mixture by cooling the water vapor to its condensation temperature. The apparatus (200) also comprises a water separator (230) that can or is coupled with an outlet connection (226) of the jet pump (220). The water separator (230) is designed to separate a liquid phase (233) from a gas phase (235) of the outlet mixture (225) in order to provide two phases (233, 235) separately from each other.

The invention relates to a mixture component detection method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: determining the number of lasers and the wavelength of each laser according to the types of components contained in a mixture, and respectively controlling each laser to emit laser with the corresponding wavelength, so that the laser penetrates through the mixture; collecting a laser signal passing through the mixture through a laser receiver; performing photoelectric conversion processing on the laser signals collected by the laser receiver to obtain electric signals corresponding to the laser signals with different wavelengths; and analyzing the component proportion of the mixture according to the electric signal. Therefore, the component proportion of the mixture can be accurately detected through the laser, an infrared spectrum analyzer is not needed, the cost of detection equipment is reduced, and the method is suitable for detecting the components of the mixture in various scenes and high in applicability.

The invention discloses a mixture component identification method based on terahertz spectrum detection database search, which combines terahertz spectrum and database search technologies, and can efficiently and accurately identify each component in a complex mixture through matching with known spectrogram information. Comprising the following steps: establishing a high-quality terahertz spectrum database; collecting terahertz spectrum data of a to-be-detected sample, wherein the terahertz spectrum data comprises fingerprint information of the sample; the collected spectral data is preprocessed to improve the data quality; comparing the terahertz spectrum of the sample to be detected with spectral data in a database through a database search and spectrogram comparison step so as to realize qualitative analysis of each component in the mixture; and estimating the relative content of each component by using the intensity information in the terahertz spectrum, thereby completing the quantitative analysis of the mixture. According to the method disclosed by the invention, the terahertz spectrum is combined with database search, and unique substance fingerprint characteristics in the terahertz spectrum and a modern data analysis technology are fully utilized, so that qualitative and quantitative analysis can be systematically performed on a multi-component mixture; and a reliable and efficient technical means is provided for mixture analysis of the terahertz spectrum in practical application. The method can effectively improve the efficiency and precision of component identification, provides a new thought and method for mixture component analysis, and has a wide application prospect.

The subject patent application relates to a water-based polyurethane foam material that can include a polyurethane mixture component and a flame retardant component. The water-based polyurethane foam material can have a 40% compressive force (FTC) rating of at least about 1.5 MPa and no greater than about 3.0 MPa. The water-based polyurethane foam material can further have a stress relaxation rate of at least about 10% and no greater than about 25%.

The utility model discloses a device for continuously separating, drying and gasifying fine slag, and belongs to the technical field of chemical fine slag separation treatment. The device comprises a premixing extraction tank, a stirring mixer, an ash-water separator, a filtering machine and a drying machine, the premixing extraction tank is provided with an inner cylinder and an outer cylinder, the upper part of the inner cylinder is of an open structure, and the bottom of the outer cylinder is provided with an enriched carbonaceous component outlet; the enriched carbonaceous component outlet is connected to a feed port of the stirring mixer, a mixed material outlet in the bottom of the stirring mixer is connected to the ash-water separator, a carbonaceous and extractant mixed component outlet formed in the top of the ash-water separator is connected to an inlet of the filter through a pipeline, and an ash-water separator ash-water outlet is formed in the bottom of the ash-water separator; a wet carbonaceous material outlet of the filter is connected with a material inlet of the dryer; the dryer is provided with a clean coal outlet; according to the utility model, two-stage mixing of the extraction agent and the suspended gasified fine slag material is adopted, so that the problem that the filter cake fine slag of the entrained-flow bed cannot be effectively utilized is solved.

The invention relates to the technical field of lubricating oil, in particular to a lubricating oil composition as well as a preparation method and application thereof. The lubricating oil composition provided by the invention is prepared from the following components in parts by mass: 0.10 to 2.5 parts of boronized fatty acid ester, 0.6 to 2.5 parts of polysulfide dibutene octyl formate, 0.01 to 0.25 part of mixture component, 0.01 to 0.05 part of anti-foaming agent, 7.0 to 21.4 parts of viscosity index improver and 4 to 7 parts of vehicle gear oil complexing agent. Wherein the mixture component is a mixture of 2, 5-bis (n-octyldisulfide)-1, 3, 4-thiadiazole and dioctyl disulfide, and the catalyst component is a mixture of 1, 3, 4-thiadiazole, 1, 3, 4-thiadiazole and dioctyl disulfide. The invention aims to improve the durability of the lubricating oil to different synchronous equipment materials and the oil change mileage of the lubricating oil.

The present disclosure relates to systems and methods for blending multiple fuel mixture components. A method of blending at least two fuel mixture components, the method comprising: providing at least two fuel mixture components to a cyclone mixer via a fuel supply system, the fuel supply system comprising a fuel supply circuit for each of the at least two fuel mixture components; mixing the at least two fuel mixture components via at least one vortex formed in the cyclonic mixer to form a fuel mixture; determining, via one or more sensors, a measured interchangeability index of the fuel mixture; comparing the measured interchangeability index with a predetermined interchangeability index; adjusting, via the fuel supply system, one or more parameters of at least one of the at least two fuel mixture components based on the comparison between the measured interchangeability index and the predetermined interchangeability index; and providing the fuel mixture to a combustion system.

The invention belongs to the technical field of oil-gas field development engineering, and particularly relates to a condensate gas pressure-temperature phase diagram calculation method and application thereof. The method comprises the following steps: (1) solving fluid component data of a condensate gas system through a cubic state equation and calculating a mixture component fugacity coefficient to obtain a condensate gas phase diagram; (2) determining a maximum pressure characteristic point and a maximum temperature characteristic point of the condensate gas phase diagram by adopting a phase stability analysis algorithm and combining a dichotomy; (3) dividing the whole pressure and temperature plane according to the maximum pressure feature point and the maximum temperature feature point; and (4) calculating phase boundaries of the divided regions by adopting a dichotomy in combination with a phase stability analysis algorithm, and integrating data points to obtain a P-T phase diagram. The method is high in calculation speed and reliable in operation, compared with a traditional saturated pressure curve tracking method and a bubble point line and dew point line calculation method, solving of a nonlinear equation set is avoided, and the stability of a pressure and temperature phase diagram algorithm is improved.

The present invention relates to a computer-implemented method for generating a model (2) for determining a measurement error in the measurement of the concentration of hydrogen (105) contained in a gas mixture (102), wherein the gas mixture (102) comprises hydrogen (105) and a hydrogen-free carrier gas mixture (104), wherein - data (4, 40) on at least two different hydrogen-free carrier gas mixture components are provided, - different gas mixture components are generated based on the data (4, 40), with the hydrogen-free carrier gas mixture components and / or the hydrogen content being different in the case of the different gas mixture components, - hydrogen concentration measurement values are determined for the gas mixture components and measurement errors are determined based on the hydrogen concentration measurement values, - a model (2) is provided that maps data on the carrier gas mixture components and the hydrogen concentration measurement values to the measurement errors.

The invention relates to the technical field of thermal physical properties of working media, and discloses an ORC working medium thermal physical property prediction method based on a graph neural network, and the method comprises the following steps: S1, working medium molecular graph construction: for a target ORC working medium, obtaining molecular structure information of the target ORC working medium; if the working medium is a single working medium, constructing a single molecular graph based on atoms and chemical bonds; and if the working medium is the mixed working medium, constructing a mixed working medium diagram based on atoms and chemical bonds of each component molecule and a preset intermolecular interaction relationship. According to the ORC working medium thermophysical property prediction method based on the graph neural network, the graph neural network is applied to end-to-end prediction of the ORC working medium thermophysical property, and working medium molecules or mixture components are abstracted into a graph structure, so that a model can learn a complex mapping relation between a molecular structure and macroscopic thermophysical property from an atomic level; the limitation that a traditional method depends on experimental data or empirical equations is broken through, and the model is endowed with strong molecular representation learning ability and generalization prediction potential for a new working medium.

The embodiment of the invention provides a multispectral mixture component quantitative analysis method and device. The method comprises the following steps: acquiring spectral information of a target mixture; creating a spectrum output matrix according to the spectrum information; according to the spectrum output matrix, carrying out integration on a spectrum characteristic peak to obtain a spectrum integration matrix; creating a multivariate regression function corresponding to the component content and the light intensity in the mixture according to the spectral integral matrix; and performing inversion solution on the multiple regression function to obtain content information of each component in the mixture. According to the scheme, after the spectral information of the target mixture is obtained, the matrix can be created according to the spectral information, so that the integration of the characteristic peak is performed according to the matrix, the influence on the improvement of the detection efficiency is avoided, and finally, the content information of each component in the mixture is obtained through the construction and inversion solution of the multiple regression function, so that the detection accuracy is improved. Therefore, the detection precision is improved.

The invention discloses a regulation and control method for reducing a component B in a lincomycin fermentation process, which is characterized in that soybean protein hydrolysate A is supplemented in the lincomycin fermentation process, so that the component B of lincomycin can be effectively reduced, and meanwhile, the titer of the component A is improved. The soybean protein hydrolysate A is a compound amino acid mixture obtained by carrying out an enzymolysis technology on a soybean raw material, and comprises the following components in percentage by mass: 30-35% of peptide fragment A, 55-65% of free amino acid liquid A, and 5-15% of water and other substances. After the method is optimized, the minimum production level of the component B on a 50 L fermentation tank is 166 mu g / mL, the yield of the component B is reduced by 75% or above compared with that of the component B produced by an original fermentation culture method, the product quality and the production efficiency are improved, and the method is suitable for industrial large-scale production.

The utility model discloses tailing size mixing equipment, which belongs to the technical field of tailing treatment and comprises a size mixing tank, a vertical pipe is fixedly connected in the size mixing tank, nine nozzles are fixedly connected on the outer side wall of the vertical pipe and are uniformly distributed on the vertical pipe in a spiral shape, the top of the vertical pipe is fixedly communicated with a discharge pipe, and the discharge pipe is communicated with a discharge port. The end, away from the vertical pipe, of the discharging pipe is fixedly connected with a centrifugal pump, and a feeding port of the centrifugal pump is fixedly connected with a feeding pipe. According to the tailing size mixing equipment, through cooperative use of a storage box and a notch, storage of a dispersing agent or water is facilitated, through operation of a centrifugal pump and cooperative use of a feeding pipe, a material suction head and a discharging pipe, liquid is transferred into a vertical pipe, and then through the action of a spray head, the liquid is evenly sprayed into the size mixing tank to make contact with tailings in the stirring process, so that the tailings are mixed, and the mixing effect is improved. Therefore, the consistency of the components of the mixture of each part is ensured, non-uniform mixing or local concentration difference is avoided, and the uniform mixing of the tailings is realized.