11results about How to "Stable generation" patented technology

The application belongs to the field of medical materials, and particularly relates to a metal core enhanced double-barrier piezoelectric nano system and a preparation method and application thereof. The preparation method comprises the following steps: first, a core-shell structure of'metal@mesoporous titanium dioxide@mesoporous barium titanate' is prepared through a step-by-step reaction, and then the target nanoparticles are obtained through lipid wrapping. The system innovatively constructs a double-barrier structure, can self-trigger active oxygen under a physiological pressure of 4 mmHg, realizes endogenous pressure self-driven treatment of malignant ascites, has the advantages of low pressure, high catalytic efficiency, long-term structural stability and good biocompatibility, solves the problems that existing treatment methods are highly invasive and depend on exogenous stimulation, and provides a new safe and efficient technical scheme for the treatment of malignant ascites.

This invention discloses a low-corrosion chloride molten salt heat transfer and storage medium, method, and application, belonging to the field of molten salt thermal storage technology. The high-heat-capacity, low-corrosion carbonate molten salt heat transfer and storage medium of this invention is composed of 18%~22% potassium chloride, 6%~10% sodium chloride, 1%~3% aluminum powder, 1%~3% magnesium powder, 1%~3% zinc powder, with the remainder being zinc chloride. Its key feature is the introduction of metal powder into the molten salt, which not only achieves excellent thermal storage performance at 600℃~800℃, but also reduces corrosion by utilizing the potential regulation ability of dissolved metal ions and the formation of highly active [Al] from gaseous chloride products through physical and chemical adsorption. This low-corrosion chloride molten salt heat transfer and storage medium achieves excellent thermal storage performance and low corrosivity, and can be applied in solar thermal power generation and molten salt energy storage.

This invention discloses a method for preparing high-entropy ceramic matrix composites using a reactive infiltration process, belonging to the technical field of ceramic matrix composites. The steps are as follows: at least four single-component carbides are ball-milled and mixed with a carbon source, then dispersed in a dispersion liquid to obtain a slurry; continuous fibers are woven into a preform, and an interface layer and a matrix layer are deposited to obtain a semi-dense composite material; the slurry is introduced through vacuum or pressure impregnation; and a high-entropy carbide matrix is ​​generated in situ and densified by reactive infiltration after embedding with a transition metal and its alloy. This invention solves the problems of long process cycles, high porosity, high cost, and insufficient introduction of high-entropy ceramics in existing processes, achieving rapid densification and improving the material's high-temperature stability, oxidation resistance, and ablation resistance. It is suitable for the large-scale production of thermal protection materials for hypersonic vehicles.

The invention discloses a traditional Chinese medicine residue sorting and quality grading method based on machine vision recognition. The method comprises the steps that an image sequence is collected, and exposure, white balance gain and light source driving quantity are recorded; a standardized image sequence is obtained through preprocessing, and a working condition drift tensor is constructed through batch difference; segmenting the target area, constructing an equivalent refraction-scattering weight map based on a particle size distribution parameter, a fiber orientation anisotropy parameter and a water-containing scattering indication parameter, and generating a physical token sequence; adopting improved VMama asymmetric scanning to obtain an anisotropic state characterization sequence; a prediction entropy is calculated, a physical consistency loss is constructed through a working condition drift tensor alignment residual error, and a self-adaptive normalized parameter set is obtained through TENT online updating; and reasoning to obtain a target sorting category and a target quality grade, and generating a shunting control instruction and grading record data for sorting and grading of a conveying line. According to the method, unmarked cross-working-condition sorting and consistent grading are achieved.

An object is to provide a sanitary washing device. A nozzle of the sanitary washing device includes a first cylindrical portion, a second cylindrical portion, and a cap portion. The second cylindrical portion has an inflow hole and an air supply hole that communicate with a gap between the first cylindrical portion and the second cylindrical portion. The first cylindrical portion has the inflow hole, a cross-sectional area of which is smaller than a cross-sectional area of an upper internal space above the inflow hole and smaller than a cross-sectional area of a passage hole of the cap portion. The cross-sectional area of the passage hole of the cap portion increases upward. The sanitary washing device changes a flow rate ratio of inflow to the inflow hole and switches a water flow between a first state in which, after a continuous water flow is discharged from the passage hole after passing through the through hole in a state in which there is a gap between the continuous water flow and an inner peripheral surface of the passage hole, the continuous water flow becomes an intermittent water flow in the space and a second state in which the continuous water flow including bubbles mixed therein and diffused to the inner peripheral surface is discharged.

This invention discloses a method for identifying land cover in highly heterogeneous areas. The method includes: collecting heterogeneous historical land cover products of the target area and obtaining stable regions of different cover types through overlay analysis; dividing the target area into blocks based on its latitude and longitude information with a spatial constraint of 1°×1°, then setting three thresholds of 50, 70, and 100, and using a stratified sampling strategy to obtain uniformly distributed sample data of the target area; acquiring temporal optical, radar, and digital elevation data of the target area, and addressing the influence of clouds and rain through data synthesis; and finally constructing a tile-based classification model for classification. The tile-based classification model constructed in this invention addresses the heterogeneity of plateau regions, fully considering the similarity of adjacent land features and the large climate span of the plateau. Simultaneously, a strategy for stable, rapid, and uniform sample data generation is developed, saving material and financial resources. The mapping results provide data support for ecological civilization construction and biodiversity conservation.

The application discloses a kind of support structure automatic generation method, system and equipment supporting 3D printing forming, it is related to 3D printing field, method includes: generating multiple vertical planes according to fixed interval, vertical plane is respectively with first and second sheet model intersection, obtain multiple first and second intersection contour line, with the contour point of first intersection contour line vertically downward and second intersection contour line intersection, select the nearest intersection point below contour point, obtain the corresponding point of first intersection contour line corresponding group, detect whether lower intersection point is on the same numbered second intersection contour line between two corresponding intersection points in group, according to detection result, construct the triangular facet of support structure, according to the triangular facet of support structure, construct support model, according to support model, generate support structure.The application can shorten the time of generating sheet, connecting support structure, and make the sheet, connecting support structure generated not prone to appear through die phenomenon.

This invention discloses a deep learning-based method for processing white light interferometric images, specifically including: S1, acquiring an interferometric image sequence and performing normalization processing; S2, performing fringe analysis on the interferometric image sequence to obtain a fringe direction information set and a fringe coherence information set; S3, inputting the interferometric image sequence into a normalized isovariant convolutional network, performing isovariant convolution operations under the constraint of fringe direction information, and generating isovariant feature maps and direction confidence parameters; S4, constructing a frequency domain update weight set based on the fringe direction information set, the fringe coherence information set, and the direction confidence parameters; S5, inputting the isovariant feature maps into a Fourier neural operator network and introducing the frequency domain update weight set; S6, outputting the fringe reconstruction result or phase distribution result and performing direction confidence constraints; S7, generating a white light interferometric morphology result based on the fringe reconstruction result or phase distribution result. This invention integrates isovariant direction and frequency domain operators to achieve stability.

The utility model discloses a low-pressure steam system, and belongs to the field of low-pressure steam systems, the low-pressure steam system comprises a low-pressure steam generator, a steam outlet pipe of the low-pressure steam generator is connected with an electric pressure reducing and temperature reducing valve, and a water inlet pipe of the low-pressure steam generator is connected with a circulating water tank through a water feeding pipe and a circulating pump; a condensing pipe is arranged between the water inlet pipe and the water feeding pipe, a condensing box wraps the condensing pipe, the inlet end of the condensing box is connected with a steam recovery pipe, and the outlet end of the condensing box is connected to the inlet end of the circulating water tank through a condensed water collecting pipe. According to the low-pressure steam system, through the nested design of the steam recovery pipe and the condensation box, cascade heat utilization of waste steam, condensate water and inlet water is achieved, the heat loss bottleneck of a traditional open type system is broken through, meanwhile, multi-parameter feedback control of pressure, temperature and flow is integrated through the electric pressure reduction and temperature reduction valve, manual valve operation is replaced, and the energy consumption is reduced. And the problem of unstable steam quality caused by process fluctuation is solved.

The application discloses an InGaN nanocolumn-based optoelectronic memristor and a preparation method and application thereof. The composition of the InGaN nanocolumn-based optoelectronic memristor comprises a substrate, an InGaN functional layer, a first Schottky contact electrode and a second Schottky contact electrode, the InGaN functional layer is arranged on the surface of the substrate, the InGaN functional layer is composed of a plurality of InGaN nanocolumns epitaxially grown on the surface of the substrate, and the first Schottky contact electrode and the second Schottky contact electrode are arranged on the side of the InGaN functional layer away from the substrate. The InGaN nanocolumn-based optoelectronic memristor has the advantages of stable resistance state change, long resistance state retention time and the like, is suitable for neural network algorithm and image recognition application, and has simple structure and simple preparation process, and is suitable for large-scale industrial production and application.