22results about How to "High industrial applicability" patented technology

The utility model discloses a material conveying mechanism for laser welding. The material conveying mechanism comprises an adjusting clamp set, a driving motor and a conveying assembly. The adjusting clamp set comprises a fixed seat, a guide seat, a first clamping flap and a second clamping flap, and the guide seat is in sliding connection with the clamping flaps through guide pins and used for driving the clamping flaps to be opened and closed and adjusting the clamping distance; the driving motor comprises a driving motor body and a lead screw, the lead screw is sleeved with the guide base through a screw hole, and automatic adjustment of the clamping structure is achieved; the conveying assembly comprises peristaltic petals installed at the ends of the clamping petals and eccentric wheels, the eccentric wheels are driven by the output shaft sleeve to rotate, and materials are clamped and conveyed in a peristaltic mode. The mechanism can realize self-adaptive clamping and stable propelling of welding materials with different specifications, has the advantages of compact structure, stable transmission, high universality and the like, and is suitable for material precision conveying requirements in automatic laser welding equipment.

The invention provides a preparation method of a carotenoid dispersion emulsion, which comprises the following steps: preparing a water phase by using a protective colloid, a filler and water, preparing an oil phase by using carotenoid crystals, an antioxidant and a supercritical solvent, mixing the oil phase and the water phase, emulsifying, and removing the supercritical solvent after emulsifying to obtain the carotenoid dispersion emulsion. The protective colloid is starch sodium octenylsuccinate of which the molar substitution degree does not exceed 6%. The invention also provides a preparation method of the carotenoid microcapsule. According to the preparation method provided by the invention, by selecting the specific protective colloid and the oil-phase solvent, the carotenoid can be better protected, side reaction caused by a high-temperature process can be avoided, and the risk of solvent residue is reduced.

The application provides a kind of unmanned aerial vehicle vision adaptive control method based on multi-scale space-time network. By constructing multi-branch hollow convolution feature extraction and adaptive scale re-labeling network, the cooperative perception of near and far target features and background noise suppression are realized. On this basis, the dynamic multi-head self-attention mechanism with fusion time decay penalty factor is introduced, and the physical evolution law constraint is carried out on the continuous image sequence, effectively filtering out the instantaneous motion blur and target occlusion interference. In the state estimation link, the system constructs a deep coupling residual injection mechanism of vision and dynamics, and uses high-dimensional space-time perception features to correct the prediction deviation of the rigid body model in real time. Finally, combined with the error adaptive model predictive control and nonlinear robust disturbance observer, the optimal closed-loop control command is generated and directly drives the underlying electromechanical actuator. The application fundamentally breaks through the technical barriers of the separation system architecture, significantly improves the high-frequency state perception accuracy, large maneuver trajectory tracking performance and all-weather operation system robustness of the aircraft in the face of nonlinear gust disturbance and satellite navigation limited extreme working conditions.

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.

The invention discloses an intelligent welding path planning method driven by welding wire width, which takes the welding wire width as a global unique driving parameter, intelligently links and dynamically generates a key threshold value and a strategy in the whole path planning process. The method specifically comprises the steps of generating a cutting threshold value, a de-weight tolerance, a waypoint de-weight tolerance and a continuous welding judgment threshold value based on the welding wire width; performing global endpoint cutting on the discretized path points analyzed from the DXF drawing based on the threshold value to eliminate interference; performing intersection point accurate detection of included angle filtering and neighborhood de-weighting; performing neighborhood order-preserving path point de-weighting optimization; and the three-section welding speed is dynamically configured and the continuous welding logic is judged based on the welding wire width. According to the method, the welding process parameter (welding wire width) depth is coupled to the path planning algorithm, full-link automatic intelligent optimization from drawing analysis to robot code generation is achieved, the welding quality, precision and efficiency are remarkably improved, and universality is high.

The present invention relates to an animal model in which social dominance is absent, and a pharmaceutical composition for preventing or treating diseases associated with the absence or reduction of social dominance. In an animal model, according to the present invention, social dominance is absent through inhibiting of the expression or activity of a CREB-regulated transcription coactivator 3 (CRTC3) gene or protein, and the animal model can be used as a model for diseases associated with the absence or reduction of social dominance. In addition, the present invention enables the prevention, alleviation or treatment of diseases associated with the absence or reduction of social dominance by using a composition containing agonists for brain epidermal growth factor (EGF) receptors.

The invention provides a TiAlN / MAX-phase multi-layer composite coating as well as a preparation method and application thereof, and relates to the technical field of functional coating materials. The coating adopts a nano alternating multilayer structure of the TiAlN layer and the MAX phase layer, so that the bottleneck that hardness and toughness of a traditional coating are difficult to consider at the same time is solved, and the comprehensive mechanical property and the failure resistance of the coating are remarkably improved; and under the high-temperature working condition, high-activity Al in the MAX phase generates a continuous and compact Al2O3 protective film with a stable structure in situ, so that the dynamic self-repairing and melting loss resisting functions are realized, and the service life of a part is greatly prolonged. The coating has excellent thermal conductivity and stress relaxation capability, and has outstanding thermal shock resistance and high-temperature stability. The preparation method can accurately regulate and control the structure parameters and the interface bonding state of each layer, the process is stable, and industrial production is facilitated. The coating is applied to metal parts such as aluminum / magnesium alloy die-casting dies, and is high in practicability and wide in application prospect.

The utility model discloses a diameter-adjustable plastic film coated rotary table, which is characterized in that a rotary table is arranged on a base, a plurality of extension plates capable of sliding along the radial direction are arranged on the periphery of the rotary table, and a screw-slider driving structure arranged in a guide groove is combined, so that the diameter of the rotary table can be synchronously and continuously adjusted; and meanwhile, through a switching device arranged in the rotating disc, meshing of a hexagonal block and a hexagonal groove and the matching relation of a clamping rod and a clamping groove are matched, and automatic switching control over the adjusting state and the rotating state is achieved. When materials are not placed, the rotary table is kept in a static state, and diameter adjustment can be completed safely and conveniently; after the materials are placed, the device is automatically switched into a rotating state, and the rotating disc is driven to complete film wrapping operation. By means of the structure, the operation efficiency is greatly improved, interference in the adjusting and running process is avoided, and good industrial practicability and automation adaptability are achieved.

This invention discloses a method and system for detecting surface defects in stainless steel pipes, comprising: S1, acquiring line scan images of stainless steel pipes under dark and bright illumination; S2, stitching the line scan images into dark and bright cylindrical unfolded images, and performing brightness equalization and reflection suppression processing; S3, performing pixel-level fusion of the dark and bright cylindrical unfolded images according to set weights; S4, inputting the fused cylindrical unfolded image into the backbone of a YOLO network integrating a Swing Transformer module to extract multi-scale feature maps; S5, performing feature fusion and bounding box prediction, and outputting the bounding box, confidence score, and category label of the defect; S6, performing semantic segmentation and grayscale segmentation in the detection box region and weighted fusion to generate a final defect mask; S7, calculating the area, length, width, and centroid coordinates of the defect, and converting them into actual dimensions and spatial positions. This invention improves the accuracy and stability of stainless steel pipe surface defect identification.

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 embodiment of the invention provides a preparation method and preparation equipment of a ZSM-5 catalyst and the ZSM-5 catalyst, and relates to the technical field of catalysts. The preparation method of the ZSM-5 catalyst comprises the following steps: S1, taking ZSM-5 molecular sieve powder, a precursor compound of an oxide and an extrusion aid, and stirring until the materials are uniformly mixed to form mixed powder; s2, adding a peptizing agent into the mixed powder in the step S1 to form a uniformly mixed wet material; s3, carrying out extrusion molding on the wet material in the step S2 to obtain a ZSM-5 catalyst precursor; s4, carrying out drying and first roasting treatment on the ZSM-5 catalyst precursor in the step S3 to obtain a formed ZSM-5 catalyst; and S5, putting the ZSM-5 catalyst in the step S5 into an ion exchange solution, carrying out at least one ion exchange treatment, and then carrying out secondary roasting to obtain the ZSM-5 catalyst. According to the method, the production complexity and cost are remarkably reduced.

The invention discloses a physical model-driven fragrant sugar material atomization video segmentation method and system, and relates to the cross technical field of computer vision and digital image processing. The method comprises the following steps: acquiring a video sequence of a fragrant sugar material atomization process, and performing frame-by-frame preliminary foreground segmentation on the video sequence by adopting a Gaussian mixture model to obtain an initial foreground mask corresponding to each frame; and for the initial foreground mask of each frame, extracting at least one foreground region, and calculating feature information of each foreground region. And on the basis of the atomization fluid mechanics model, physical constraint conditions for verifying the foreground regions are constructed by using the matching relationship of the foreground regions among continuous frames. And verifying the successfully matched foreground region by using a physical constraint condition, screening out regions which do not conform to a physical rule based on a verification result, and reserving the regions which conform to the physical rule as real foreground regions. And generating a final foreground segmentation result of each frame based on all the real foreground regions.

The application relates to a longitudinal-lateral stability control method based on phase plane analysis, which comprises the following steps: constructing a vehicle-road model based on the kinematic relation between a vehicle and a target path and a vehicle model; obtaining road environment information and vehicle state information, establishing a phase plane with an instability energy ratio and a change rate of the instability energy ratio, setting a stability judgment criterion, and judging the vehicle working condition based on phase plane analysis; when the vehicle is in different working conditions, MPC control is carried out through corresponding path tracking controllers: in a stable working condition, a path tracking controller one based on the vehicle-path model MPC control is designed with the total lateral force of the front wheels of the vehicle as the control quantity; in an instability working condition, the parameters of the path tracking controller one are adjusted with the additional yaw moment of the vehicle to obtain a path tracking controller two. The application provides a reasonable decision method for different working conditions, and effectively improves the longitudinal-lateral stability and tracking performance of the vehicle.

The application belongs to the technical field of medical latex gloves, and particularly relates to a micro-ammonia latex medical examination glove and a preparation method thereof. The micro-ammonia latex medical examination glove comprises modified deproteinized natural concentrated latex 100 parts, sulfur 1-2.5 parts, zinc oxide 0.5-1.5 parts, an accelerator 0.5-1.5 parts, an antioxidant 1-2 parts and a surfactant 0.1-0.5 parts. The preparation of the modified deproteinized natural concentrated latex comprises the following steps: filtering and removing impurities from fresh natural latex, supplementing ammonia to 0.05-0.1%, and then adding a stabilizer, porous rod-like silicon dioxide and alkaline protease to perform enzymatic reaction; centrifuging to obtain micro-ammonia deproteinized concentrated natural latex and porous rod-like silicon dioxide, washing the porous rod-like silicon dioxide, and mixing the washed porous rod-like silicon dioxide with the micro-ammonia deproteinized concentrated natural latex to obtain the micro-ammonia deproteinized concentrated natural latex. The application improves the removal rate of proteins through the shearing and friction of the porous rod-like silicon dioxide, and further uses the porous rod-like silicon dioxide as a reinforcing agent to improve the mechanical properties of the glove.

This invention discloses an acid-catalyzed method for synthesizing quinoxalinone derivatives from o-phenylenediamine derivatives and α-carbonyl esters. The method uses an acid as a catalyst to catalyze the reaction of o-phenylenediamine derivatives with α-carbonyl esters to prepare quinoxalinone derivatives. The method employs acid catalysis to prepare quinoxalinone derivatives from o-phenylenediamine derivatives and α-carbonyl esters in a mixed alcohol-water solvent. The reaction equation is as follows: This invention is simple to operate, requires low catalyst dosage, is environmentally friendly, and is suitable for large-scale preparation of quinoxalinone derivatives. The product yield can reach over 98%, demonstrating excellent industrial applicability.

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 application discloses a conductive reinforcing adhesive film with self-adhesion characteristics, which comprises a first release layer, a first self-adhesive conductive bonding layer, a porous conductive framework layer, a second self-adhesive conductive bonding layer and a second release layer which are sequentially stacked; the first self-adhesive conductive bonding layer and the second self-adhesive conductive bonding layer comprise adhesive resin and multi-form conductive particles dispersed therein. The application realizes low-temperature rolling and fitting from room temperature to 80 DEG C and rapid curing below 150 DEG C by matching the five-layer composite structure with the self-adhesive resin system and the multi-form conductive particles, and has excellent conductivity, bonding strength, solder resistance and electromagnetic shielding effect, so that high-temperature damage to a heat-sensitive element can be avoided, and the application is suitable for FPC reinforcing, grounding and electronic packaging fields and has strong industrial practicability.

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.