1969 results about "Multiple component" patented technology

The invention belongs to the crossing field of environmental engineering and hydrology and hydrodynamics, and particularly relates to a traceability method based on coupling hydrodynamics and a pollutant degradation equation, which comprises the following steps: firstly, acquiring and preprocessing multi-source heterogeneous monitoring data, then selecting a one-dimensional Saint-Venant equation or a two-dimensional shallow water equation according to a water body form to solve a hydrodynamic field, and finally, determining the hydrodynamic field. A multi-component convection-diffusion-reaction equation is coupled to simulate pollutant migration and transformation; an LSTM module is introduced to identify suspected pollution events, pollution source parameters are inverted through a two-channel framework of PDE constraint optimization and Bayesian inference, uncertainty is quantified, model parameters are updated online in combination with data assimilation, and finally the uncertainty is quantified and verified. The method considers traceability precision, efficiency and compliance, supports multiple water bodies and multiple data sources, and is suitable for complex water body pollution traceability.

The invention discloses a high-toughness impervious polymer modified cement-based grouting material and a preparation method thereof, and belongs to the technical field of building repair materials. The component A is prepared from a cementing material, an admixture, a fine aggregate, a composite expanding agent, a polymer for concrete modification, fibers, an early strength agent, a water reducing agent, a composite retarder, a defoaming agent, an air entraining agent, a nano material and a functional component. The system solves the technical contradiction of toughness-strength-impermeability in the polymer modified cement-based material, and the material has excellent comprehensive performance: the initial fluidity is greater than or equal to 330 mm, the 28d compressive strength is greater than or equal to 82 MPa, the breaking strength is greater than or equal to 16.8 MPa, the bending-compression ratio is greater than or equal to 0.19, the impermeability pressure value is greater than or equal to 2.6 MPa, and the material is suitable for the fields of prefabricated buildings, tunnel engineering and the like.

Described are embodiments that include methods and devices for separating components from multi-component fluids. Embodiments may involve use of separation vessels and movement of components into and out of separation vessels through ports. Embodiments may involve the separation of plasma from whole blood. Also described are embodiments that include methods and devices for positioning portions, e.g., loops, of disposables in medical devices. Embodiments may involve use of surfaces for automatically guiding loops to position them into a predetermined position.

The invention discloses a home page multi-component parallel prefetching and rendering first screen acceleration method and device and a storage medium, and the method comprises the following steps: constructing a global dependency relationship model based on the metadata and dependency relationship of each component of a home page, and calculating the priority for each component according to a predefined priority evaluation strategy, generating a component scheduling sequence constrained by the priority and the dependency relationship; controlling a concurrency control strategy of the component; preferentially rendering a visual placeholder structure, and smoothly replacing the real content to a user visible area through a progressive rendering replacement strategy; when the variable quantity of the component data exceeds a preset threshold value, triggering an increment updating strategy based on the difference content; generating a cache identifier according to component granularity, reading and writing data in a multi-level cache structure based on the cache identifier, and ensuring data consistency by adopting a background asynchronous verification strategy; and collecting performance indexes in a page rendering process, and adjusting the priority evaluation strategy, the concurrency control strategy and the increment updating strategy according to the performance indexes.

The invention discloses a composition based on hollow glass beads and a preparation method thereof, and relates to the technical field of material science. The preparation method comprises the following steps: firstly, constructing a pre-composite functional microsphere with a specific hierarchical structure as a core basic functional unit, then matching with a plurality of components such as a thermosetting resin matrix, a latent curing system, a functional synergistic aid package and a composite solvent system, and matching with a preparation process which has a synergistic effect with the components. The composition based on the hollow glass beads is expected to realize uniform dispersion of the hollow glass beads in a coating system and strong bonding of a microscopic interface on the premise of ensuring the structural integrity of the hollow glass beads. Therefore, the high-performance composite coating material with ultra-light weight, high heat insulation efficiency, excellent mechanical strength and long-term service stability is obtained.

A software package is received and unpacked into multiple components comprising plural functions. Each function is lifted from machine code into static single-assignment intermediate representation and tokenized to produce semantics-preserving embeddings. Intermediate-representation data-flow features are extracted, including detection of constant static variables on a stack, stack reaching definitions, uninitialized variables, and intra-procedural aliases. For each component, the embeddings and features are input to a machine-learning model trained on semantic properties derived from a corpus of software packages to generate a software supply chain risk level. Data characterizing the risk level is provided to a consuming application. When the risk level satisfies a remediation criterion, a remediation action is initiated, including generation of a source-code patch recommendation for an identified root-cause function, insertion of a runtime guard into the component, or issuance of a security advisory for distribution to a security operations dashboard.

The invention provides a pourable tumor organoid vascularization model and a construction method thereof, and relates to the technical field of organoid culture. A temperature-sensitive degradable material and a photo-crosslinking modified temperature-sensitive material are used, the composite stent is printed through two channels, a multi-component gel mask partition curing process is combined, the stability of a perfusion pipeline is improved, and a partitioned highly-bionic complex microenvironment is accurately constructed in a macroscopic three-dimensional space; and constructing to obtain the perfusion tumor organ vascularization model. The model is high in bionic degree and stable in structure, can be applied to deepening cell and microenvironment interaction research and tumor-related drug screening, and has a good application prospect.

The invention belongs to the technical field of film materials, and particularly relates to a lower supporting film for a flexible folding display screen and a preparation method of the lower supporting film. The supporting film sequentially comprises a protective film layer, a stainless steel base material layer, an adhesive layer and a release film layer from top to bottom; wherein the adhesive layer is prepared by coating a release film with modified organic silica gel liquid, drying and curing. The ultra-thin stainless steel is used as the base material layer, can resist external force impact and scraping, is low and stable in thermal expansion coefficient, can reduce the influence of environment temperature and humidity on the size of the supporting film, and guarantees the structural consistency of the screen module in long-term use; and through multi-component composite modification of polyurethane-thiazole-organic silicon, the peeling strength of the adhesive layer and stainless steel and the bending frequency of the supporting film are improved, and the service life of the supporting film is prolonged.

The invention relates to the technical field of gas detection, and provides a multi-component gas detection method and system.The method comprises the steps that an MEMS-MOS gas sensor array is designed to be composed of a plurality of miniature gas sensing units; each temperature control loop is used for controlling each micro gas sensing unit to maintain the working temperature aiming at the target gas, so that each micro gas sensing unit generates differentiated and complementary dynamic resistance response signals in a mixed gas environment; collecting the resistance change of each micro gas sensing unit in the gas exposure process in real time, and generating a multi-channel digital time sequence data flow; reconstructing the multi-channel digital time sequence data stream into a two-dimensional matrix of channel number * time step; and inputting the two-dimensional matrix into a trained lightweight convolutional neural network model, and outputting gas types and corresponding concentration values contained in the mixed gas. According to the invention, rapid and accurate detection of multi-component gas can be realized in a complex environment, and the sensor has the characteristics of high sensitivity, low power consumption, suitability for portable deployment and the like.

The invention relates to the technical field of medium phase state determination, in particular to a PVT analyzer and method suitable for multi-component fluid medium phase state determination, and the PVT analyzer comprises a determination assembly, a test cylinder, a balance cylinder, a pressurization cylinder, a gas distribution pipeline, a first driving mechanism and a second driving mechanism. The structure is reasonable and compact, combination of gas with various components can be achieved through the multiple gas cylinders and the gas distribution pipeline, mixing of the gas according to the set ratio can be achieved by adjusting the gas distribution valve, the multiple gas cylinders can inject the gas into a rodless cavity of the pressurization air cylinder through the gas distribution valve and the gas distribution pipeline, and the gas injection efficiency is improved. The second driving mechanism drives the piston rod of the pressurizing air cylinder to continuously input gas in the rodless cavity of the pressurizing air cylinder into the rodless cavity of the balance air cylinder through the pressurizing pipeline and the one-way valve, so that the pressure of the rodless cavity of the balance air cylinder can be increased; and the precise gas distribution and gas pre-pressurization functions of multi-component gas can be realized.

The invention discloses a multi-scale wear fatigue joint simulation method and system for a valve element and a valve sleeve of a servo valve, and relates to the technical field of hydraulic control. A geometric model is designed according to structural parameters of a valve structure, and the geometric model is divided into multiple assemblies; defining material parameters of each component, and correspondingly associating the material parameters with each component; defining a wear model of the contact surface of the valve core and the valve sleeve; defining a nonlinear mechanism of the fatigue model; defining a coupling model of a coupling relationship between the wear model and the fatigue model; performing grid division on the geometric model by adopting a dynamic grid updating model, and taking all grid units as simulation analysis objects; performing simulation analysis on the coupling model; according to the simulation result, the wear fatigue coupling failure behavior of the valve element and the valve sleeve is predicted, and the design of the valve element and the valve sleeve is optimized. According to the method, the submicron wear depth prediction precision can be realized, the service life prediction error is reduced compared with that of a traditional method, and a quantitative basis is provided for reliability design and condition-based maintenance of a high-precision servo valve.

The invention discloses an artificial SEI material and a preparation method thereof, an artificial SEI film and an artificial SEI film modified negative electrode. The artificial SEI material is an organic polymer brush (CNF-g-PSSX) prepared by grafting cellulose nanofibers with polystyrene sulfonate. The polymer brush is of a crystal structure and has a firm framework; and the side chain of polystyrene sulfonate has rich-SO3 functional groups which are matched with cations in sulfonate, so that a rapid ion transmission channel is provided, high-current-density circulation can be realized, and good interface contact is ensured. Due to a special molecular topological structure and a multi-component synergistic effect, when the organic polymer brush forms an artificial SEI film, high mechanical strength, high ionic conductivity and low interface impedance can be obtained at the same time, and through strong electrostatic repulsion between a negatively charged-SO3 group and the surface of a negatively charged lithium dendrite tip, the electrochemical performance of the artificial SEI film is improved. An obvious inhibition effect is shown on the continuous growth of dendritic crystals.

The invention discloses a multi-component catalyst active site prediction system and method fused with quantum embedding, and relates to the technical field of catalysis and material informatics, and the system comprises a structure and site enumeration module which generates candidate sites; the adaptive quantum embedding calculation module obtains key reaction microcosmic parameters; the unified site fingerprint and feature engineering module constructs and fuses standard site fingerprints; the physical consistency machine learning module predicts adsorption energy and other parameters and uncertainty thereof; the active learning and sample selection module selects a high-value sample optimization model; the microdynamics evaluation module calculates index values such as activity; and the multi-objective optimization and sorting module generates an optimization sorting list. According to the method, the unification of calculation precision and efficiency is realized, the problem of non-unification of locus characterization is solved, the model interpretability and extrapolation reliability are improved, and the comprehensive evaluation and optimization sorting of multi-target performance are completed.

A digital twin service of a provider network allows a user to build high fidelity models (“digital twins”) for components and for systems of multiple components. For a given component, the digital twin service receives, from a user, identification of interactions for the component (e.g., inputs / outputs at the boundary), identification of data sources at the system (e.g., sensor that stream data), and / or a definition of behavior of the component (e.g., one or more behavior functions to simulate the component). The digital twin service builds a digital twin model of the component based at least on the interactions, the data sources, and the behavior. The digital twin service may also receive, from the user, an indication to bind one or more outputs of the digital twin model to one or more inputs of at least another of the digital twin models to build a digital twin model of the system.

The invention provides a drinking water pipeline anti-corrosion powder coating multi-component proportioning intelligent batching method and system, and relates to the technical field of intelligent manufacturing, and the method comprises the following steps: obtaining drinking water pipeline anti-corrosion powder coating raw material parameters and formula information; constructing a quantitative characteristic volume element numerical simulation unit, and performing multi-scale bridging calculation in combination with microscopic molecular dynamics and a macroscopic discrete element method; inputting parameters, calculating, correcting a formula, and converting into control parameters; dynamically adjusting parameters through a regression network self-learning feedback compensation algorithm; starting mixing equipment for batching, calculating the uniformity in real time, stopping mixing after the uniformity reaches the standard, detecting a finished product, and generating a report. According to the invention, through a self-learning feedback compensation algorithm based on a regression network, in combination with real-time weight detection and a material blockage identification result, intelligent dynamic adjustment of quantitative feeding control parameters is realized.

According to the invention, the multi-mode time-frequency domain conversion and the deep learning technology are combined, and a multi-component mixed Raman spectrum unmixing method is developed, so that clinical in-vivo and in-situ detection and disease diagnosis of novel Raman probes, instruments and the like are facilitated. The method comprises the following steps: (1) converting a mixed Raman spectrum from a time domain to a frequency domain by using fast Fourier transform (FFT), discrete cosine transform (DCT) and discrete sine transform (DST), and extracting frequency domain features; (2) extracting multi-scale local time-frequency domain characteristics of the mixed spectrum by using short-time Fourier transform (STFT) and discrete wavelet transform (DWT); (3) carrying out spectral unmixing calculation in each mode in combination with a one-dimensional attention mechanism U-shaped neural network model; and (4) fusing various modal unmixing results by using a meta-learning method, and analyzing the weight of each modal to obtain an accurate unmixing spectrum. Compared with a traditional Raman spectrum analysis method, the Raman spectrum multi-component signal unmixing method based on multi-modal time-frequency domain transformation and deep learning can accurately separate independent Raman signals of different tissue structures and biochemical components in a complex environment in a living body, so that the unmixing accuracy of the Raman spectrum multi-component signal is improved. Therefore, convenience is provided for subsequent disease mechanism analysis and diagnosis. The method provides an innovative and potential solution for in-vivo and in-situ detection analysis and disease diagnosis of medical clinical Raman spectroscopy.

The invention relates to a polycarboxylate superplasticizer compounding production line. The production line comprises an intelligent raw material pretreatment unit, a multi-component precise proportioning unit, a gradient temperature control compounding reaction unit, an online quality monitoring feedback unit and a finished product self-adaptive filling unit which are connected in sequence. The multi-component precise proportioning unit is internally provided with a dynamic proportioning adjusting system, and the feeding amount can be corrected according to the solid content deviation of raw materials and the target fluidity; the gradient temperature control compound reaction unit realizes temperature and speed coordinated regulation and control through a sectional temperature control module and a stirring speed linkage device; and the online quality monitoring feedback unit forms closed-loop control with the above two units by means of a near infrared spectrum detection module. The invention aims to solve the problem that the existing production line lacks the dynamic ratio adjustment of the actual solid content deviation of the raw material and the target fluidity, the reaction stage temperature control and stirring rate cooperative regulation and control and the online detection closed-loop control; therefore, the problems of low proportioning precision, poor reaction process controllability and large performance fluctuation of the water reducing agent are solved.

The invention discloses a full-automatic multi-component dispensing dynamic mixing proportion closed-loop control system, which relates to the technical field of semiconductor manufacturing, and comprises a multi-component feeding module, a dynamic proportioning execution module, an online detection module, an intelligent control module, a mixing reaction module, an anti-pollution module and a data management module, the device has the advantages that anti-sticking conveying and rapid switching of multi-form raw materials are achieved through a plurality of independent flow channels and inner wall diamond-like coatings of the multi-component feeding module in cooperation with a flow channel inlet vibrating screen and an outlet electromagnetic valve, a double-metering-pump parallel structure and a double-axial-flow type pulse damper are adopted in the dynamic matching execution module, and the dynamic matching efficiency is improved. And by combining a nonlinear model prediction controller of the intelligent control module and BP neural network adaptive compensation, the dynamic adjustment precision of the multi-component mixing ratio is remarkably improved, the mixing uniformity and purity reach the standard, the product scrapping caused by the ratio error is greatly reduced, and the photoresist production yield and stability are improved.

The invention belongs to the technical field of gas detection, and relates to a ship exhaust gas multi-component synchronous online monitoring system and method based on a laser Raman spectrum. The system comprises a sampling module, a preprocessing module, an analysis module, a data processing module, a blowback module and a flow measurement module. The method comprises the following steps: starting and self-checking the system; sample collection, pretreatment and flow velocity measurement; laser excitation and signal acquisition; carrying out spectrum analysis and concentration inversion; data output and system maintenance; and performing periodic automatic calibration. According to the invention, a complete monitoring process chain from sampling, pretreatment, flow measurement, analysis to back flushing is creatively integrated. The high-efficiency pretreatment and back flushing design greatly reduces the influence of high-dust and high-humidity environment on the analysis system, and ensures the long-term stability and reliability of the system.

A method, apparatus, non-transitory computer readable medium, apparatus, and system for image processing include obtaining a text prompt; generating, using a generator of an image generation model, a feature embedding based on the text prompt, wherein the feature embedding includes a first set of channels that encodes a first value of an image characteristic and a second set of channels that encodes a residual between the first value of the image characteristic and a second value of the image characteristic; and generating, using a decoder of the image generation model, a synthetic image corresponding to the second value of the image characteristic based on the feature embedding.

The invention relates to the technical field of thermal insulation materials, in particular to an aerogel felt and a preparation method thereof.The aerogel felt is composed of a composite fiber base material and multi-component aerogel loaded in the composite fiber base material, the composite fiber base material comprises 65%-75% of alkali-free glass fibers, 15%-20% of modified polyimide fibers, 4%-6% of nanoscale carbon fibers and 8%-12% of basalt fibers, and the multi-component aerogel is loaded in the composite fiber base material. According to the multi-component aerogel, 78%-82% of tetraethoxysilane, 12%-14% of methyltrimethoxysilane, 4%-6% of dimethyldimethoxysilane and 2%-4% of vinyltrimethoxysilane serve as precursors, 1.5%-2.5% of aluminum oxide, 0.8%-1.5% of titanium oxide nanoparticles and 3%-4% of zinc borate are added, a multi-stage reinforced structure is formed, the mechanical property and flexibility of the aerogel felt are remarkably improved, the tensile strength reaches 400 kPa or above, and the tensile strength reaches 400 kPa or above. The flexibility is excellent.

The utility model relates to a connection structure and a high-voltage distribution box, the connection structure comprises a bottom shell, a current-carrying member and a plurality of components, two ends of the current-carrying member are defined as a first end and a second end respectively, the first end and the second end of the current-carrying member are assembled and electrically connected to different components respectively, and the first end and the second end of the current-carrying member are arranged along the direction from the first end to the second end. The current-carrying piece is wound at the bottom of one component from one side wall of the component and extends to the other side wall of the same component, or the current-carrying piece is wound at the bottoms of the multiple components from the side wall of one component and extends to the side wall of the other component; the bottom shell is provided with an assembling groove, the bottom wall of the assembling groove is provided with a through hole penetrating through the bottom shell, and the current carrying piece is clamped in the through hole so that the bottom of the component can be attached to the bottom wall of the assembling groove. According to the connection structure and the high-voltage distribution box provided by the invention, the problem that thermal runaway is easy to occur in an existing current carrier is solved.

The invention belongs to the technical field of lithium ion battery solid electrolytes, and discloses a multi-component in-situ polymerized gel solid electrolyte and a preparation method and application thereof, the gel solid electrolyte is prepared by adding an amide cross-linking agent and a polymeric monomer into a basic electrolyte to obtain a precursor solution, then adding an initiator, and carrying out in-situ polymerization at 45-70 DEG C for 6-12 hours, the amide cross-linking agent is one or more of N, N '-methylene bisacrylamide, polyacrylamide, poly (2-acrylamide-2-methyl-1-propanesulfonic acid), polymethacrylamide, polyethylene glycol diacrylamide, polyether amide or adipamide. The first coulombic efficiency of an LCOLi button cell assembled by the multi-component in-situ polymerization solid-state gel electrolyte reaches 94.81%, the capacity retention rate after 500 cycles at 3-4.6 V still reaches 80% or above, and the LCOLi button cell can safely pass a needle test and can be applied to the field of solid-state electrolytes.

The invention belongs to the technical field of computer aided design, and provides a C / C composite material thermochemical response and pore scale structure evolution prediction method, which comprises the following steps: constructing a geometric model of the pore scale of a rocket engine jet pipe; establishing a fluid flow model in a D2Q9 form; establishing a multi-component mass transport model in a D2Q5 form; establishing a heat transfer model in a D2Q5 form; establishing a heterogeneous chemical reaction model of the fluid-solid boundary; establishing an updating model of the composite material based on a volume pixel method; and based on a geometric model, a fluid flow model, a multi-component mass transport model, a heat transfer model, a heterogeneous chemical reaction model and an update model, predicting the thermochemical response and pore scale structure evolution of the C / C composite material in the rocket engine nozzle. The method is provided for studying the ablation process of the C / C composite material, and theoretical basis and guidance direction are provided for thermal performance study and fine design of the spray pipe.

The invention discloses a high-weather-resistance photocuring coating with radar infrared stealth and intelligent anti-counterfeiting functions and preparation, and relates to the technical field of special functional materials. According to the coating, stealth, anti-counterfeiting and extreme environment tolerance are realized through multi-component collaborative design: matrix resin is prepared by compounding organic fluorine modified epoxy acrylate and polyurethane acrylate, and trifluoro propyl trimethoxy silane and polyoxyethylene ether block copolymer are introduced, so that weather resistance is improved; the photo-initiation system contains a free radical / cation composite initiator and a low-temperature initiator, and supports wide-temperature-range curing. The functional filler comprises a core-shell complex and carbon nanotube / graphene composite powder, and uniform dispersion of the filler is realized through a gradient grinding process. The method is suitable for military equipment camouflage, aerospace protection and criminal investigation anti-counterfeiting, 800-1400 [mu] m thermal radiation matching, radar wave absorption and mobile phone camera readable encryption information are achieved, and an innovative solution is provided for high-end equipment protection and information safety.

The invention relates to the field of bus duct processing, in particular to a hydraulic processing machine for producing a bus duct. A side base is arranged on the working table, two clamping plates are arranged beside the side base, two abutting shafts are rotationally installed on the opposite sides of the two clamping plates respectively, two three-axis moving mechanisms are arranged at the upper end of the side base, and a drilling machine, a cutting machine and a bending mechanism are sequentially installed at the output ends of the three-axis moving mechanisms from the center line of the side base to the edge of the side base. The bending mechanism comprises a two-way air cylinder connected with the output end of the three-axis moving mechanism, the output end of the two-way air cylinder is fixedly connected with two chucks, main rubber rollers are rotationally arranged on the opposite sides of the two chucks respectively, and auxiliary rubber rollers are rotationally arranged below the main rubber rollers; connecting discs fixedly connected with the chuck are arranged beside the main rubber roller, and the opposite sides of the two connecting discs are rotationally connected with secondary rubber rollers correspondingly and rotationally connected with the bending frames correspondingly. According to the device, multi-procedure linkage is achieved through cooperation of multiple components, the abutting shaft, the main rubber roller, the auxiliary rubber roller and other structures act together, and the adjusting frequency of the clamp in the machining process is reduced. And the stability and precision during machining are effectively improved, and then the production efficiency is improved.

The invention discloses an antistatic agent for polyolefin film material production and a preparation method thereof. According to the invention, through reasonable molecular structure design, raw material selection and synthesis process optimization, the antistatic agent has multiple functions of high-efficiency antistatic property, oxidation resistance, antibacterial property, mechanical property enhancement and the like. The polyolefin material added with the multifunctional antistatic agent has good antistatic performance under different environmental conditions, and the oxidation resistance, the antibacterial property and the mechanical property are also remarkably improved. The antistatic agent has good adaptability with processing of a polyolefin film material and has wide application prospects and market competitive advantages, and the comprehensive performance of the polyolefin film material is remarkably improved through multi-component collaborative design. The composite system of the polyolefin quaternary ammonium salt and the graphene quantum dots strengthens the long-term effect of the antistatic effect, and meanwhile, the synergistic effect of the hindered phenol and the phosphite strengthens the antioxidant stability of the material in the processing and using processes.

The invention discloses a UV curing adhesive for coating a low-refractive-index optical fiber and a processing method thereof, belongs to the technical field of adhesive preparation, and is used for solving the technical problem that the refractive index and the damp-heat resistance of the UV curing adhesive for coating the optical fiber in the prior art need to be further improved. The preparation method comprises the following steps: introducing a low-refractive-index hybrid siloxane prepolymer, a multi-component interface bonding prepolymer and a modified branched polyester prepolymer into a system together, and constructing a compact and uniform organic-inorganic three-dimensional network in a curing process by utilizing silica condensation, interface chemical bonding and a flexible chain segment cross-linking reaction, the low-refractive-index hybrid siloxane prepolymer endows a film layer with a stable refractive index, the multi-component interface bonding prepolymer enhances the binding force of a base material, the modified branched polyester prepolymer improves stress buffering and toughness, and the obtained cured film is low in refractive index, firm in interface bonding and small in mass change in a humid and hot environment and shows excellent optical stability and long-term reliability.

The invention relates to the field of intelligent monitoring of electric power facilities, in particular to a power transmission line foreign matter detection method based on multi-component semantic segmentation and hybrid Transform-CNN (Convolutional Neural Network). According to the method, the Transform module is combined with the CNN model, multi-component semantic segmentation is performed on the to-be-analyzed image through the decoder based on the UNet network, and the method can be applied to rapid detection under complex conditions and numerous interference environments. Therefore, the foreign matter detection of the power transmission line for performing high-precision segmentation and real-time detection on the attached foreign matters on multiple parts such as a lead, an insulator and a fitting of the power transmission line in a complex scene is realized, the safety level alarm is performed when an abnormal trigger mechanism is reached, and the test shows that the IoU is improved by 15% and the false detection rate is reduced by 40% in rainy and foggy weather, so that the safety of the power transmission line is improved. The FPS reaches 32 frames per second (real-time edge calculation is met), the accuracy and robustness of foreign matter detection of the power transmission line are greatly improved, and the timeliness of safety early warning of the power transmission line is also greatly improved.

This invention provides a multifunctional gradient composite filament for 3D printing, its preparation method, and its applications, relating to the field of additive manufacturing materials technology. The filament's cross-section includes at least two structurally or functionally distinguishable regions, each region composed of a thermoplastic polymer with different chemical properties, or a thermoplastic polymer matrix with the same chemical properties but different functional modifications. These at least two regions are arranged in an ordered spatial pattern on the filament's cross-section using a multi-component co-extrusion technique, enabling pre-design and integration of properties. This invention overcomes the inherent limitations of traditional single-material filaments, achieving multifunctionality and performance designability of a single filament. It significantly improves the interlayer bonding performance of multi-component 3D printing and the comprehensive mechanical properties of the printed composite material. Furthermore, it allows for the production of components with both functional gradients and high mechanical properties in a single printhead operation, making it suitable for mass production.