27 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.

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.

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.

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 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 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 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 application discloses a kind of based on laser induction technology's mixed material component on-line detection equipment and method, belong to mixed material component analysis field.The equipment includes sampling device, drying device, crushing device, laser detection device;Sampling device is connected with drying device, and the mixed material obtained is sent to drying device, drying device is connected with crushing device, for carrying out crushing treatment to the mixed material of drying;Laser detection device is used to detect the component of the mixed material of crushing.The on-line detection fast scheme of mixed material component of the application can greatly improve the mixed material test frequency, not only can provide accurate data support for blast furnace operator to predict, control blast furnace condition, but also can become the original driving force of sintering production digital transformation, process capacity improvement.

This invention discloses a vision-based real-time detection method for mineral mixture components, belonging to the field of mineral mixture production technology. The method includes camera selection and installation, acquisition of imaging videos of different material compositions, generation of a target detection dataset, analysis and calculation of the target detection dataset, setting an allowable error range, and finally timely detection of abnormal mineral mixture proportions through image detection and notification to production line workers. The proposed method is adaptable to all-weather lighting conditions, has good generalization ability, can adapt to different conveyor belt angles and camera imaging angles, can be used across different plant areas for the same mixture, improves the real-time performance of mixture proportion detection, and can record the actual proportions for each feeding cycle. It addresses the shortcomings of existing methods that rely on production line workers to remotely observe raw material proportions in real-time during step-by-step proportioning, leading to worker fatigue and difficulty in timely detection of abnormal material proportions.

The application provides a modeling-free mixture component intelligent identification method and system, which comprises collecting a plurality of mixture spectra of a to-be-tested sample, and pre-processing the plurality of mixture spectra; arranging the pre-processed plurality of mixture spectra into a matrix, and separating and outputting a plurality of source spectra; constructing a standard spectrum library, and correcting the standard spectra in the standard library and the separated spectra; detecting local extreme values of each source spectrum to obtain a peak position set; matching the peak position set with each pure component standard spectrum in the standard spectrum library, and judging an intersection number; if the intersection number is greater than a preset value, it is determined that the component exists, and an existing component list and a corresponding matching degree or similarity score are output. The application realizes modeling-free output of existence conclusion, solves the pain points of time-consuming verification of traditional methods depending on modeling, and realizes non-destructive, rapid and accurate qualitative verification of specific components in a textile mixture.

The embodiment of the application provides a multispectral mixture component quantitative analysis method and device, the method comprises the following steps: obtaining the spectral information of a target mixture; creating a spectral output matrix according to the spectral information; performing integration of spectral characteristic peaks according to the spectral output matrix to obtain a spectral integral matrix; creating a multiple regression function corresponding to component content and light intensity in the mixture according to the spectral integral matrix; and inversely solving the multiple regression function to obtain the content information of each component in the mixture. Through the scheme of the application, after obtaining the spectral information of the target mixture, the matrix can be created according to the spectral information, the integration of the characteristic peaks can be performed according to the matrix, the detection efficiency can be improved, and finally the content information of each component in the mixture can be obtained through the construction and inverse solution of the multiple regression function, so that the detection precision is improved.

To provide a system and method for blending multiple fuel mixture components.SOLUTION: A method for blending two fuel mixture components includes: supplying two fuel mixture components to a cyclonic mixer via a fuel supply system, the fuel supply system including a fuel supply circuit for each fuel mixture component of the two fuel mixture components; mixing, via one vortex formed in the cyclonic mixer, the two fuel mixture components to form a fuel mixture; determining, via one or a plurality of sensors, a measured interchangeability index of the fuel mixture; comparing the measured interchangeability index to a predetermined interchangeability index; adjusting, via the fuel supply system, at least one or a plurality of parameters of the two fuel mixture components on the basis of the comparison between the measured interchangeability index and the predetermined interchangeability index; and supplying the fuel mixture to a combustion system.SELECTED DRAWING: Figure 14

This application discloses a co-processing device for sludge agricultural waste, relating to the field of sludge agricultural waste treatment. It includes a sludge agricultural waste co-processing tank, with a tank cover installed at its top. One end of the tank cover is connected to a feeding chamber, and one end of the feeding chamber has an insertion cavity. This application utilizes pulverizing blades that circulate left and right within the feeding chamber to effectively shred the sludge agricultural waste. This method allows for effective pulverization of the solid sludge agricultural waste during feeding, resulting in better mixing and heating, reducing the risk of unheated portions and unreliable mixture composition, thus improving processing efficiency and effectiveness.

The invention relates to the technical field of building materials, and discloses ground fine leveling flowing waterproof mortar and a preparation method thereof, the ground fine leveling flowing waterproof mortar comprises a dry blend component and a liquid mixing component; the dry blend is prepared from the following components in parts by weight: 350 to 450 parts of ordinary Portland cement, 50 to 70 parts of silica fume, 550 to 800 parts of multi-graded quartz sand aggregate, 20 to 30 parts of redispersible latex powder, 6 to 8 parts of calcium formate, 2 to 4 parts of anti-crack short fiber, 0.5 to 1.5 parts of shrinkage reducing agent, 0.8 to 1.2 parts of suspending agent, 0.8 to 1.2 parts of thixotropic lubricant and 0.4 to 0.6 part of low-viscosity cellulose ether. The liquid mixing component comprises the following components in parts by weight: 3-5 parts of inorganic silicone oil, 1.5-3.0 parts of a polycarboxylate superplasticizer and 180-220 parts of mixing water; wherein the multi-graded quartz sand aggregate is prepared from the following particles in the following particle size range: 150 to 200 parts of 8-12-mesh quartz sand and 150 to 200 parts of 12-20-mesh quartz sand. By utilizing a rigid interlocking framework formed by the coarse aggregate and the closest packing effect, the use amount and porosity of a cementing material are greatly reduced, and meanwhile, the compressive strength and wear resistance of the mortar are remarkably improved.

This application discloses a method, apparatus, and equipment for segmenting asphalt mixture components, relating to the field of asphalt pavement construction control technology. The method includes: acquiring an initial two-dimensional scan image of an asphalt mixture cross-section; preprocessing the initial two-dimensional scan image, including contrast enhancement and light field correction; dividing the preprocessed image into components using a dual-threshold segmentation method; performing morphological post-processing on the initial segmented image to obtain separated component segmented images; calculating the difference between the image area ratio and the actual volume ratio of each component segmented image; and calculating the relative error between the image sieve distribution and the actual sieve distribution of the aggregate components. When the difference or relative error exceeds a preset threshold range, adjusting the image processing parameters and re-performing the segmentation operation to obtain a target segmented image. The difference and relative error of the target segmented image are both within the preset threshold range, thus solving the problem of insufficient segmentation accuracy of asphalt mixture components.

The invention discloses a fiber dispersing and air laying system for dust-free paper production, which comprises a dispersing structure, the dispersing structure is communicated with a fiber dispersing and mixing assembly and ensures dust-free paper fiber dispersing and mixing, the fiber dispersing and mixing assembly is communicated with a waste collecting structure and is used for fiber recovery, and the waste collecting structure is communicated with a glue spraying structure and is used for glue spraying and bonding. The dispersing structure comprises a pre-dispersing box, the pre-dispersing box is communicated with a feeding port, the feeding port is communicated with the pre-dispersing box, the lower side of the pre-dispersing box is communicated with a pre-dispersing assembly, the pre-dispersing assembly is located in the pre-dispersing box, the lower side of the pre-dispersing box is communicated with an opener body, and the opener body is communicated with a fiber separator body; according to the fiber dispersing and air laying system for dust-free paper production, fiber raw materials entering the opener body can be pretreated, so that fibers are better dispersed and mixed, multi-stage gradual opening is achieved, and damage to the fibers due to violent striking is reduced.

The invention relates to a method for selectively separating the constituents of a mixture of organic synthetic materials that are in fragmented form, the method comprising at least one step of separating the constituents by difference in density in an aqueous suspension (100) of solid pulverulent particles contained in a separation tank (2), the aqueous suspension (100) being subjected to sequential stirring by discontinuous upward external recirculation by means of a sampling pump (10) having an inlet diameter identical to the outlet diameter, the recirculation speed being defined in order to obtain a rate of stirring of the aqueous suspension (100) within the tank of between 25 m3 / h and 35 m3 / h, the sequential stirring comprising sequences of stirring for a determined operating time of the sampling pump (10), interspersed with a stoppage time of the pump, which stoppage time is greater than the operating time of the pump.