8results about How to "High industrial applicability" patented technology

The application belongs to the technical field of image processing, and relates to a light field microscopic image processing method based on a microlens array. The application establishes an optical path model of a light field microscope imaging system based on the microlens array; according to size data of a target microscope, the microlens array is designed, and all parameters of the optical path model are determined; according to optical parameters of the optical path model, various parameters required for high-resolution image reconstruction are designed; the microlens array is manufactured according to the determined microlens array parameters; the manufactured microlens array is integrated into a traditional microscope to assemble the light field microscope; the assembled light field microscope is used to collect an image array, the image array is divided into multiple sub-images, and fusion processing is performed to obtain a final target image. Without improving the hardware complexity, the application significantly enhances the contrast and definition of the image, and effectively solves the technical problems of low spatial resolution and low signal-to-noise ratio of the existing light field microscope.

The application belongs to the technical field of medicines, and particularly relates to a sodium zirconium cyclosilicate composition, a preparation method thereof and application thereof. The sodium zirconium cyclosilicate composition contains at least 95% of ZS-9 crystal form in terms of mass percentage, and the bulk density of the sodium zirconium cyclosilicate composition is 0.62-0.77 g / mL. The sodium zirconium cyclosilicate composition can effectively improve the problem of slow effect of the existing sodium zirconium cyclosilicate product, and can also take into account good drug efficacy, and is very suitable for being used for the treatment of hyperkalemia, and provides a more effective and safer treatment scheme for patients.

The invention discloses a physical embedded multilevel inference artificial intelligence framework for surface acoustic wave filter design, and relates to the technical field of surface acoustic wave filters and artificial intelligence. The framework comprises an intelligent pre-generator, an equivalent circuit model verifier and an optimizer, wherein the intelligent pre-generator outputs an initial design solution according to a target S21 parameter; the equivalent circuit model verifier rapidly predicts the response of the filter S21 through a mixed model of inference logic and deep learning driven by a surface acoustic wave resonator admittance formula and an ABCD matrix cascade formula; and the optimizer iteratively optimizes the design parameters and the topological structure based on the prediction result. The physical mechanism of the surface acoustic wave device is embedded into the deep learning reasoning process, the limitation of physical consistency of a pure data driving model is broken through, end-to-end full-automatic design without manual parameter adjustment and complex electromagnetic simulation is achieved, the calculation cost is remarkably reduced, the design period is shortened, and the design efficiency is improved. The method can be widely applied to efficient and accurate design of the surface acoustic wave filter in the field of wireless communication.

This invention discloses a turbine blade spraying clamping fixture, relating to the field of turbine blade thermal barrier coating preparation technology. It includes a lower connecting rod, a lower frame, and an upper frame coaxially assembled sequentially, as well as an adjustable support assembly, a radial positioning assembly, and a counterweight balancing assembly. Currently, the tooling and processes used in turbine blade thermal spraying preparation have significant technical deficiencies, failing to meet the mass production requirements of high-end equipment. This invention achieves high-precision clamping of turbine blades and full-process controllable coating quality through modular tooling design and a zoned closed-loop spraying process.

This application discloses a machine vision-based defect detection system for seamless steel pipe production, relating to the field of image analysis technology. The system includes: an acquisition device for acquiring a first inspection image of the seamless steel pipe; a processing device for acquiring multiple segmented regions based on the first inspection image; acquiring a first segmented region from each segmented region; acquiring a texture consistency value based on the first segmented region; acquiring a first defect probability based on the texture consistency value; and if the first defect probability is greater than or equal to a first preset value, inputting the first segmented region into a defect detection model to obtain defect information in the first segmented region. This application's segmentation of the first inspection image into multiple segmented regions eliminates interference from irrelevant background and noise in the image, allowing defect identification to focus more specifically on a single region, thus solving the problem of traditional overall analysis being easily interfered with by redundant information.

The application provides a treatment method of a SAPO-34 molecular sieve shaped catalyst. First, the shaped catalyst to be treated is subjected to acid treatment in an acid solution with a pH value of 2-4, then is mixed with a template agent and a phosphorus-containing aqueous solution, and is subjected to crystallization treatment at a temperature of not less than 120 DEG C, and finally is dried and calcined to obtain the shaped catalyst. The treatment method can effectively remove the carrier, the binder and other substances which block the micropore channels of the molecular sieve during the shaping process of the SAPO-34 molecular sieve catalyst, and meanwhile, the original micro morphology is maintained. When the treated catalyst is used in a catalytic methanol-to-olefin reaction, excellent catalytic activity can be achieved, the selectivity of dienes (ethylene+propylene) is significantly improved, and the service life of the catalyst is obviously prolonged.

The present application relates to the technical field of volatile organic compounds treatment, and discloses a selective catalytic oxidation catalyst, a preparation method and application thereof, the catalyst contains catalyst A and catalyst B, the catalyst A contains a first carrier and a first active component, the catalyst B contains a second carrier and a second active component, the first active component and the second active component both contain Cu; the first carrier is one or more of alumina, titania, ceria, zirconia, ceria-zirconia solid solution and silica; the second carrier is one or more of ZSM-5 type molecular sieve, SSZ-13 molecular sieve, beta type molecular sieve, SAPO-34 type molecular sieve and Y type molecular sieve; the weight ratio of the catalyst A and the catalyst B is 1:0.2-5, and the Dv90 of the selective catalytic oxidation catalyst is 1-20 mu m. The catalyst has high conversion rate and high N2 selectivity for catalytic oxidation of nitrogen-containing VOCs.

The application discloses a kind of intelligent welding path planning methods of welding wire width drive, with welding wire width as global unique driving parameter, intelligent linkage and dynamically generate key threshold and strategy in path planning whole process. Specifically include: based on the generation of cutting threshold, deduplication tolerance, path point deduplication tolerance, continuous welding judgment threshold based on the threshold to the discretization path point of analytic self DXF drawing is globally endpoint cutting to eliminate interference;Carry out angle filtering and neighborhood deduplication cross point accurate detection;Carry out neighborhood order-preserving path point deduplication optimization;And based on the dynamic configuration of three-section type welding speed and the judgment continuous welding logic based on welding wire width. The application is coupled to path planning algorithm by welding process parameter (welding wire width) in depth, realizes the full-link automatic intelligent optimization from drawing analysis to robot code generation, significantly improves welding quality, precision and efficiency, and is strong in universality.