44results about How to "Meet practical application needs" patented technology

This invention relates to the technical field of fire hydrants and discloses an intelligent fire hydrant with water consumption monitoring function, comprising: a hydrant end cap at the upper end of the hydrant body assembly, and an equipment assembly installed inside the hydrant end cap; a transparent detection window on the hydrant body assembly, a rod inside the transparent detection window, a central rotating shaft installed on the inner side of the transparent window assembly, and a rotating scraper on the central rotating shaft; the rod can detect the water level in the hydrant body in real time, and the rotating scraper can clean the dirt on the surface of the transparent window assembly; this invention, through the coordinated linkage structure of the float, rod, and float plate inside the transparent detection window, combined with the visual observation slot design of the transparent window assembly, realizes real-time accurate monitoring and intuitive visual feedback of water consumption in the fire hydrant, effectively solving the technical pain points of traditional fire hydrants lacking convenient monitoring methods and having difficulty in accurately controlling water consumption.

This invention belongs to the field of polyurethane elastomer technology and discloses a high-strength, room-temperature self-healing lignin / polyurethane composite elastomer, its preparation method, and its applications. The preparation method includes the following steps: First, a long-chain diol, irregular isocyanate, hydrazine chain extender, and dioxime chain extender are progressively polymerized to obtain a polyurethane matrix with multiple dynamic bonds. Then, high-rigidity lignin and metal ions are introduced to prepare a lignin-reinforced polyurethane composite elastomer. The lignin / polyurethane composite elastomer prepared by this invention exhibits good compatibility, high strength, room-temperature self-healing, and repeatable heat processing characteristics, overcoming the problems of poor compatibility and the inability to simultaneously achieve high strength and low-temperature self-healing in general lignin-based polyurethane elastomers.

The application belongs to the field of smart fibers and flexible electronics, and relates to an integrated circuit fiber and a preparation method thereof. The fiber contains electronic components integrated in a single fiber, and the electronic components are composed of multiple functional layers serving as components of the fiber and extending along the axial direction of the fiber. The integrated circuit fiber includes two types of integration schemes: one is a two-dimensional grid structure of multiple electronic components arranged radially side by side, and the electronic components can be electrically interconnected or isolated; the other is a radial stacking structure of a single electronic component, which can be adapted to five types of functional units, including electroluminescence, resistance-capacitance processing, capacitance sensing, transistors and organic electrochemical diodes. The preparation method comprises the following steps: a multi-channel microfluidic chip is used, multiple spinning solutions are injected into different channels, the spinning solutions in some channels are periodically turned on and off, the flow rates of the channels are independently controlled, the solutions are combined to form a multi-layer laminar flow structure, and the product is obtained through solidification in a coagulation bath, cleaning and drying. The application realizes high-density and high-stability functional integration in a single fiber.

The invention relates to black aluminum oxide ceramic with adjustable resistivity and a preparation method thereof. The preparation method of the black aluminum oxide ceramic with the adjustable resistivity comprises the following steps: (1) mixing MnO2 powder, Fe2O3 powder, NiO powder, CoO powder and Cr2O3 powder, and calcining to obtain a black pigment; and (2) mixing Al2O3 powder with the black pigment and the resistivity regulator to obtain black aluminum oxide raw material powder, and then carrying out molding, glue discharging and sintering to obtain the black aluminum oxide ceramic with the adjustable resistivity.

The present disclosure relates to the technical field of smart home, and discloses a bearing device and method and device, program and medium, cleaning device and system; the bearing device comprises a support part, a main body part and a driving assembly; the main body part comprises a bearing part; the driving assembly is connected to the main body part and the support part, and the driving assembly is configured to drive the main body part and the support part to move alternately. The bearing device enables the cleaning device to realize full cleaning in a larger range to meet the needs of users.

This invention relates to a high-precision data acquisition, processing, and magnetic field drive system, mainly comprising a data acquisition module, a processing module, a magnetic field drive module, a power supply module, and a host computer. The data acquisition module converts external analog signals into digital signals and transmits them to the processing module. The processing module includes a processing unit, a high-stability temperature-controlled crystal oscillator, an external clock signal interface, a DDR chip, Flash memory, a high-speed connector, and a digital power supply module. This module performs digital processing such as filtering and phase-locked loop (PLL) on the signals. The host computer can communicate with the FPGA core processing module via both Ethernet and serial ports to control the bias, amplitude, and frequency of the signals generated by the magnetic field drive module, display the read-back online data, and generate real-time curves. This invention realizes a low-cost, high-precision NMR gyroscope magnetic field control system, achieving high-precision closed-loop control of the NMR gyroscope's magnetic field.

The invention discloses a preparation method of an HfO2-based ferroelectric film with gradient oxygen vacancy distribution as well as the film and application of the HfO2-based ferroelectric film. The method comprises the steps that a lower electrode is prepared on a substrate, an amorphous HfO2-based prefabricated film is deposited on the lower electrode through atomic layer deposition, an upper electrode is prepared on the prefabricated film to form a sandwich stacking structure, and crystallization annealing is carried out to induce the prefabricated film to be crystallized into a ferroelectric orthorhombic phase; wherein the atomic layer deposition comprises at least one oxidant modulation period, a first deposition stage and a second deposition stage with different oxidation capacities are alternately carried out, and the oxygen content and oxygen vacancy defect distribution are regulated and controlled in the film thickness direction through the combination of sub-cycles, so that the oxygen vacancy concentration on one side close to the lower electrode and the upper electrode is lower than that in the middle area of the film. The obtained film can be applied to devices such as ferroelectric capacitors and ferroelectric field effect transistors, and is used for improving polarization output, reducing electric leakage and improving consistency and reliability of the devices.

This invention provides a confined grafted network antifreeze hydrogel, its preparation method, and its applications. The preparation method of the hydrogel includes: firstly, acetalizing and crosslinking polyvinyl alcohol and glutaraldehyde under acidic conditions to obtain a polyvinyl alcohol-glutaraldehyde hydrogel with a three-dimensional network structure; then, immersing it in a solution containing acrylic monomers and the initiator cerium ammonium nitrate, and heating it to allow the acrylic monomers to graft and polymerize onto the backbone, forming a confined grafted network structure. The hydrogel has a freezing temperature as low as -31.58℃, an elongation at break greater than 300% at -30℃, a tensile strength of approximately 5.6 MPa, and an electrical conductivity of approximately 0.03 S / m, and exhibits a stable and sensitive resistance response to tensile strain. This invention does not require the addition of exogenous small molecule antifreeze agents, and can maintain excellent mechanical flexibility, high strength, and stable conductive sensing performance at low temperatures. It is suitable for flexible strain sensors and wearable electronic devices, and has broad application prospects, especially in cold or extreme low-temperature environments.

This utility model relates to the field of desk technology, and discloses a student desk designed to prevent myopia, including a desk body; two sets of mounting bases installed on both sides of the desk body; support rods installed on the mounting bases; and a connecting rod between the two sets of support rods. The mounting bases are fixed to the side of the desk body with screws. This student desk, by using snap-fit ​​connectors to install the connecting rod between the two sets of support rods, forms a guardrail, effectively preventing students from studying in a posture of lying on the desk body or too close to it. This design guides students to maintain correct viewing distance and reading posture, reduces prolonged close-range eye use, effectively reduces the risk of myopia, improves the efficiency of the device, and meets practical application needs.

The application provides a national encryption and international algorithm compatible method for eUICC card and eIM platform public key interaction and an eUICC card, relates to the technical field of Internet of Things communication, and comprises the following steps: configuring configuration data information corresponding to multiple eIM platforms in the eUICC card, wherein the configuration data information contains the platform unique identification and service public key data of each eIM platform, the service public key data contains service information verification public key and an added algorithm type field, and the algorithm type field is used for uniquely identifying national encryption algorithms or international algorithms; in a business interaction process, the eUICC card matches corresponding configuration data information through the platform unique identification in a service data packet message sent by a target eIM platform, and then performs signature verification on the service data packet information based on the national encryption algorithms or international algorithms selected through the algorithm type field and the service information verification public key, so as to realize the security verification of the business interaction with the target eIM platform. The beneficial effect is that the accurate compatibility of national encryption and international algorithms in the public key mode is realized.

The invention discloses a training method and device of an image super-resolution model, equipment, a medium and a product. Inputting the first image and the second image into a first image super-resolution model, wherein the first image super-resolution model comprises a first initial image degradation sub-model, an initial image super-resolution sub-model and a second initial image degradation sub-model; performing degradation processing on the first image by using the first initial image degradation sub-model, and then performing super-resolution processing to obtain a fourth image; performing super-resolution processing on the second image by using the initial image super-resolution sub-model, and then performing degradation processing to obtain a sixth image; under the condition that the loss value does not meet the condition, adjusting parameters of the model, and returning to input the first image and the second image into the first image super-resolution model; and obtaining a second image super-resolution model under the condition that the loss value meets the condition. Even in the face of unknown degradation, accurate high-resolution images can be constructed, and actual application requirements are met.

The application discloses a wake-up word voice recognition method and device, computer equipment and a storage medium, and belongs to the voice recognition field. The method comprises the following steps: calculating the first probability distribution of each phoneme of input voice through a wake-up word recognition network; judging whether the blank score in the distribution is less than a first threshold value; if yes, sorting the phoneme probability, selecting a preset number of target phonemes, saving the scores and phoneme serial numbers of the target phonemes as effective phoneme distributions; putting the effective phoneme distributions into a preset length queue according to the first-in-first-out rule, performing maximum pooling on the probability values of the same phoneme serial number at different time points in the queue, and generating an effective phoneme distribution vector; and outputting a recognition result based on the vector and a preset registered phoneme distribution vector. The method realizes phoneme level fine-grained discrimination, reduces the misrecognition rate, is light and low in consumption, and is suitable for smart home scenes and the like.

This invention discloses a filtering device suitable for mobile phone shielding, comprising a connector, a tube, a first conductive element, a second conductive element, and a tubular ceramic capacitor. The connector includes a metal housing and a conductive core disposed within it. The tube is also made of metal, with its front end connected to the rear end of the connector housing. The first conductive element passes through the tube axially from within it, without contacting the tube. The front end of the first conductive element is connected to the conductive core of the connector. The second conductive element is disposed outside the tube, with its front end connected to the connector housing. The tubular ceramic capacitors are connected in series with the first conductive element, with at least one of them sealing the rear end of the tube. The casing of the tubular ceramic capacitor includes a conductive portion connected to the tube. Compared with existing technologies, this filtering device not only performs better in high-frequency filtering and electromagnetic shielding, but its structural design is also simpler and more practical.

This invention relates to a method, device, and medium for multi-agent coverage search and task allocation path optimization. The specific method includes: scenario construction and problem description, which describes the characteristics of the task area, the attributes of agents and targets, and clarifies the area coverage search problem and the target task allocation problem; area coverage model design, which establishes a minimum task time model objective function and constraints, and then solves the area coverage model; and task allocation strategy and path planning algorithm, which, considering agent speed and target attributes, combines a greedy strategy and a genetic algorithm to allocate target exploration tasks to agents, optimize target exploration paths, and reduce total task time. Compared with existing technologies, this invention improves the efficiency of marine area search and target exploration through multi-agent cooperation, achieving full area coverage search and accurate target exploration.

The present application relates to the technical field of protein engineering and computational biology, and particularly relates to a fusion evolutionary information Monte Carlo optimization protein thermostability screening method, screening of candidate mutation sites with potential thermostability improvement effect, and determining the allowed mutation set of each candidate mutation site; based on the determined candidate mutation site, a constrained mutation combination space is constructed, and a mutation combination set is generated through a reproducible random sampling strategy; energy scores of each mutation combination are obtained, a Monte Carlo search algorithm is used to iteratively optimize the candidate mutation combination, the optimal candidate mutation combination is screened, and the optimal candidate mutant is determined; molecular dynamics simulation is performed on the optimal candidate mutant, and a protein mutant with actual thermostability improvement is verified and determined through a structure stability index, and the screening efficiency is significantly improved.

Embodiments of the present application provide a translation method and device, electronic equipment and computer readable storage medium, and relate to the fields of artificial intelligence, natural language processing, multimedia and cloud technology. The method comprises: obtaining a source language text to be translated, and translating the text to be translated by using a trained translation model to obtain a target text corresponding to the target language of the text to be translated; the translation model is obtained by the following method: obtaining a plurality of training samples comprising a first text in a source language and a second text corresponding to the target language of the first text; determining the training loss weight corresponding to each sample according to the position bias of each word pair matched in the first text and the second text of each sample in the two texts; and iteratively training an initial neural network model based on the plurality of samples and the training loss weights corresponding thereto to obtain the translation model. Based on the method, the translation effect can be effectively improved.

The utility model discloses a small -size workpiece automatic feeding and discharging mechanical hand belongs to workpiece processing technical field. A small -size workpiece automatic feeding and discharging mechanical hand, including guide frame, the both sides of first mobile seat and second mobile seat all are equipped with fixed bolster, and the outside installation of fixed bolster has adjustment arm and movable arm, and the lower end swing joint of movable arm has grab pole and clamping head, and the upper end of first mobile seat and second mobile seat all are equipped with lifting chuck. The utility model solves the problem that the workpiece both sides are inconvenient to hold, and the feeding and discharging work is affected in the actual use process of existing feeding and discharging mechanical hand, the utility model adjusts according to different small -size workpiece, and first mobile seat and second mobile seat adapt to workpiece width to satisfy the actual application demand, and simple structure is connected truss at the bottom of connecting seat, can carry out multi -shaft adjustment work, and the overall height of guide frame is adjusted by collocating hydraulic cylinder, and the adaptability is wide.

This invention relates to the field of pressure-sensitive adhesive products, specifically a high-speed computer embroidery double-sided tape and its preparation method. The tape includes an acrylate pressure-sensitive adhesive layer, which is prepared from raw materials comprising the following parts by weight: soft monomer components: 10-20 parts butyl acrylate, 20-35 parts isooctyl acrylate; hard monomer components: 1-5 parts methyl methacrylate, 1-3 parts methyl acrylate, 3-5 parts vinyl acetate; functional monomer components: 1-3 parts acrylic acid, 1-3 parts hydroxyethyl acrylate; solvent 60-100 parts, initiator 0.2-0.8 parts, chain transfer agent 0.01-0.1 parts, tackifying resin 5-15 parts, and curing agent 0.5-2 parts; the softening point of the tackifying resin is 80-120℃. By comprehensively optimizing the product formulation system, the provided tape fully adapts to the application needs of the high-speed computer embroidery industry across all scenarios.

This application discloses a method, storage medium, and server for handling upgrade anomalies of smart devices, relating to the field of smart home technology. It aims to solve the problem of reducing the cost of handling upgrade anomalies of smart devices. The method includes: in response to a smart device upgrade anomaly, obtaining the upgrade anomaly code reported by the smart device; determining whether the upgrade anomaly code meets a first preset condition; if it does, adding the smart device to a device upgrade blacklist; and setting removal conditions to determine whether the smart device can be removed from the device upgrade blacklist under the preset conditions. In this way, the specific reason for the upgrade anomaly can be understood based on the upgrade anomaly code, allowing for differentiated processing of the anomaly-affected smart devices. Simultaneously, setting removal conditions establishes a mechanism for automatically removing smart devices from the device upgrade blacklist, improving the intelligence level of upgrade anomaly handling, reducing the manual cost of device upgrade anomaly handling, and expanding the coverage of device upgrade services.

The application provides a steel dust and organic solid waste low-carbon synergic treatment melting furnace, which comprises a feeding unit, an iron bath pyrolysis unit and a recovery unit which are sequentially communicated; the iron bath pyrolysis unit comprises a furnace body containing molten iron and an oxygen delivery assembly communicated with an upper cavity in the furnace body; the feeding unit comprises a steel dust injection assembly, an organic solid waste injection assembly and an organic solid waste feeding opening arranged on the top of the furnace body and communicated with the furnace body; and the recovery unit comprises a flue gas recovery assembly communicated with an exhaust opening arranged on the shoulder of the furnace body. Through the above manner, the melting furnace can not only treat different types of organic solid waste and improve the utilization efficiency, but also treat the steel dust by using the organic solid waste, so that molten iron, dust rich in volatile metal elements and high-calorific-value synthetic gas rich in CO and H2 are produced, the reaction rate is fast, the product quality is high, and the efficient resource utilization of the organic solid waste and the steel dust is realized.

The application provides a kind of image recognition method of robot for home environment, belong to image processing technical field, specifically include: S1: the RGB-D camera of robot shoots the image under home environment, will RGB-D camera registration;S2: the image of registration in S1 is preprocessed, and improved image is obtained H ( x, y );S3: the improved image H ( x, y ) format conversion, is converted into normalized image;S4: neural network improvement;S5: the normalized image is input into improved neural network, and the object is identified by improved neural network.The application can realize high-precision identification and positioning of characters, medicines, furniture and obstacles and other targets in complex home environment, improve the environmental perception and autonomous decision-making ability of robot in indoor scene.

The utility model provides a kind of chuck quick-change device, it is related to the material transfer tooling module of automation production equipment technical field, including male seat module, female seat module, air cock and gas joint. Male seat module is equipped with protruding part, protruding part outer wall is equipped with clamping groove, and inside is equipped with first air passage;Female seat module is equipped with limiting groove and the second air passage being communicated with limiting groove, and limiting groove inner wall is equipped with elastic clamping part, protruding part is inserted with limiting groove and is matched, and elastic clamping part is elastically clamped with clamping groove, and the second air passage is communicated with first air passage;Suction nozzle is located in male seat module, and is communicated with first air passage;Gas joint is located in female seat module and is communicated with second air passage.The utility model is inserted by protruding part of male seat module and limiting groove of female seat module, and is installed using elastic clamping part and clamping groove elastic clamping, and good fixing effect, and also can be pulled out by external force, convenient to assemble and disassemble, without additional tool, efficiency is higher, component is not damaged in assembling and disassembling process, and maintenance cost is reduced.

The application discloses a quantum secure networking device and method based on center-pumped frequency comb distribution, relates to the technical field of quantum information, and simultaneously distributes pump laser to each user node through a center-pumped laser distribution unit, so that each user node can independently generate an electro-optical frequency comb; the electro-optical frequency comb generation unit is combined with a thin-film lithium niobate cascade modulator and a capacitively loaded slow-wave electrode structure, so that the half-wave voltage is effectively reduced and the modulation bandwidth is improved; polarization control and photon detection of the encoded comb teeth are performed through two-photon interference and a quantum key distribution unit, and quantum key distribution is realized based on the two-photon interference effect. The above functional modules work in sequence and in cooperation, so that pump light distribution, electro-optical comb generation, filtering and encoding, polarization control and two-photon interference detection form a complete closed loop, high security and high efficiency of quantum key distribution in a multi-user full-connection scene are realized, and the practical application requirements of large-scale quantum secure networking are met.

The utility model relates to the technical field of hydrogen preparation, in particular to a simple water electrolysis hydrogen production device, which comprises an electrolysis tank and two electrode bars, is simple and practical in integral structural design, and mainly comprises the electrolysis tank, a gas collecting hood, a gas collecting pipe, the electrode bars, electrode plates, a liquid injection pipe, a partition plate, supporting legs and the like. The simple structure enables the device to be easy to machine and assemble in the production process, complex processes and equipment are not needed, so that the production cost is greatly reduced, in the use scene, the device with the simple structure can be rapidly built and put into use, complex installation and debugging are not needed, and in some emergency situations, when hydrogen needs to be rapidly prepared, the device can be used for rapidly preparing hydrogen. The device can be rapidly assembled and start to work, and temporary requirements are met.

The invention discloses a device and method for treating and recycling uranium-containing fluorinated residues, the device comprises a plasma source, a reaction cavity and a material boat, plasma is generated in the plasma source and conveyed into the reaction cavity, the material boat is placed in the reaction cavity, and the uranium-containing fluorinated residues are located in the material boat. The recycling method comprises the following steps that S1, the blocky uranium-containing fluorinated residues are crushed, ground and then dried; s2, fluorine plasma is generated in the plasma source, and continuous generation of the fluorine plasma is maintained; s3, the generated fluorine plasma enters the reaction cavity and makes contact with uranium-containing fluorinated residue powder in the material boat, and uranium hexafluoride is generated; and S4, the generated uranium hexafluoride is collected. The device disclosed by the invention is compact, simple in structure and easy to operate, and effectively avoids the influence of a complex ion generation environment on a fluorination reaction process.

A retrofit method of a fluorescent lighting device, comprising the steps of: removing a lampshade and a fluorescent tube from a base of the lighting device; disconnecting a ballast from a power cord of the lighting device; rotatably connecting one end of a support frame to one end of the base and fixing two ends of a safety rope to the other end of the support frame and the other end of the base, respectively; placing a lamp body into the support frame and connecting a power module of the lamp body to the power cord; pushing the support frame so that the lamp body completely covers the base; and rotating a rotation fixing knob arranged on the support frame to fix the support frame and the base to each other by the rotation fixing knob.

This invention proposes a dual-modal ship target detection method and system based on physical characteristic verification. The invention includes: acquiring registered RGB and IR images; extracting multi-scale features from the RGB and IR images using a dual-backbone network; detecting heat sources and cold spots based on multi-scale Gaussian difference; eliminating environmental influences through adaptive temperature normalization; applying a physical constraint attention mechanism for cross-modal fusion at the multi-scale feature layer. This mechanism includes four ship-specific physical verifiers: achieving complementary fusion of RGB-IR features based on physical constraint scores through a bidirectional cross-modal attention mechanism; employing a feature pyramid network for multi-scale feature fusion; and outputting the detection results. This invention significantly improves the accuracy, robustness, and interpretability of ship target detection by explicitly modeling the unique physical characteristics of ships as computable spatial correspondence constraints.

This invention discloses a near-net-shape aluminum-based composite material part manufacturing method and part. The manufacturing method includes: establishing a three-dimensional part model of the part to be manufactured, wherein the part model has a built-in double-helix siphon microchannel; slicing the part model to obtain slice data for each layer, wherein the slice data includes the geometry and printing path of the part in that layer; printing the part model using sand mold printing according to the slice data to obtain a preform, wherein after printing each layer, a binder is sprayed onto the powder layer used for printing; the preform is sequentially sintered, post-treated, and pre-treated to obtain a treated preform; the treated preform is placed in a pre-fabrication container, impregnated with molten aluminum, and then slowly cooled and solidified to obtain the part to be manufactured. This invention solves the problems of high processing difficulty and difficulty in controlling the precision of aluminum-based composite material parts in the prior art.

The application belongs to the technical field of adhesive manufacturing, and discloses a long-acting anti-aging high-adhesion-strength elastic hybrid adhesive, a preparation method and application thereof. The preparation method comprises the following steps: preparing a long-acting A component with weak acidity and high storage stability, and preparing a long-acting B component with high storage stability; through synchronous improvement of the adhesive formula and process, a ternary hybrid system is adopted, and the problems of compatibility of the ternary system and hydrolysis of the MS catalyst are overcome, so that the prepared A and B components can be stored stably for a long time, the adhesive can have high strength, high elasticity, high storage stability and low cost at the same time, the adhesive is convenient to produce and can be stored stably for a long time, and the adhesive can be widely applied to the manufacturing of power battery cells and other products and can meet various actual application requirements of the industry.

The application discloses a kind of based on remote sensing image deep learning's side slope instability area target detection method, its method includes: S1, constructs remote sensing image sample set;S2, YOLOv8-FMC network model includes feature extraction core network, feature fusion enhancement network and target detection head, feature extraction core network is extracted multi-scale feature map F1~F3 layer by layer;Mask generation module MGB is used respectively to feature map F1~F3 Generation CAM heat map and with feature map F1~F3 corresponding scale multiplication, up-sampling and step-by-step fusion processing feature map N1~N3;S3, target detection head passes through convolution block attention module CBAM, and the output side slope instability class and boundary frame are output by convolution module;S4, obtains the side slope remote sensing image of research area input YOLOv8-FMC network model identification and divides out side slope instability boundary frame and exports.The application realizes comprehensive feature multi-scale extraction, global heat map auxiliary rapid and accurate judgment, can respond to complex mine environment and carry out the high-precision processing of side slope instability identification and segmentation.