3827 results about "Multiple component" patented technology

Provided herein is a tunnel electromagnetic joint scanning detection method and a system thereof. It introduces a new tunnel electromagnetic detection system called TEJS, realizes three-dimensional joint inversion of multi-component, time domain and frequency domain signals, and forms tunnel joint scanning imaging. This method adopts the mode of surface transmission, underground reception, multi-source transmission and multi-component reception. Based on an observation system, a large number of stochastic models are constructed and numerically simulated, and a large number of training data sets are constructed by using the simulated data to complete the training of UNet model. This model can realize real-time and fast imaging of the position of the low-resistance anomalous body in three-dimensional space. An algorithm forms a dual checking mechanism through surface imaging and underground imaging, which constrains the three-dimensional spatial position of anomalous body together to prevent misjudgment.

The invention belongs to the technical field of industrial automation control, and particularly relates to a dynamic optimization control method and system for multi-component batching of a paste making machine, and the method comprises the steps: generating a characteristic waveform spectrum corresponding to a residue molecular structure; dynamically generating electric lubricating medium parameters containing the electroosmotic liquid concentration and the release rate; triggering a low-frequency vibration module of the material layer to generate vibration waves, and enabling the solution and the vibration waves to form a molecular-level synergistic stripping effect; calculating a nanoparticle dispersity index, and generating an inverse gradient mixing instruction when the index exceeds a threshold value; activating a hot vortex ring in a spiral flow guide convex pattern area and establishing a directional heat energy migration channel; and verifying the dynamic equilibrium state of the temperature of the paste core area and the viscoelasticity of the target formula, and triggering a phase lock control signal to terminate the parameter adjustment chain when the energy consumption rate reaches a stable interval. According to the invention, the problems that the transition period during formula switching is prolonged and the phase differences among the execution mechanisms are difficult to match in real time due to a traditional staged regulation and control mode are solved.

The invention relates to the field of building construction simulation, in particular to a building construction simulation model construction method and system based on a BIM model. The method comprises the following steps of obtaining a multi-source design material of a building project, and performing BIM format heterogeneous conversion so as to generate multi-source heterogeneous conversion BIM data; generating a plurality of component independent sub-models based on the multi-source heterogeneous conversion BIM data; according to the multiple component independent sub-models, building component space position positioning calculation is carried out one by one, global BIM modeling is carried out, and a building global BIM model is constructed; performing inter-component structure collision identification on the building global BIM model, and performing collision conflict optimization so as to construct a conflict optimization BIM model; building construction behaviors are analyzed one by one based on the multi-source heterogeneous conversion BIM data, then construction sequential sequence fitting is conducted, and a construction process behavior sequence is constructed. Through efficient and refined building construction simulation model construction, the construction efficiency is improved, and construction resource allocation is optimized.

Provided in the present invention is a modeling method for a simulation model of a multi-component single-bubble motion and mass transfer coupling process. The modeling method comprises the following steps: according to Newton's second law, establishing a bubble transient acceleration model on the basis of a viscous force dominant mechanism of spherical bubbles; according to a flow function in a spherical coordinate form, establishing a bubble transient non-equilibrium mass transfer model by means of a non-equilibrium mass transfer theory; establishing a bubble mass state equation on the basis of mass transfer kinetics and a mass state equation; and constructing a pollutant accumulation stagnation cap model on the basis of a stagnation cap model. In the present invention, multi-component expansion is performed on the basis of a single-component mass transfer model; the stagnation cap model is introduced; the mutual influence among motion, mass transfer and pollutant diffusion is solved by means of a mathematical model; and the simulation model is applied to the simulation of a multi-component single-bubble motion and mass transfer coupling process in a micro-interface scale range, and can predict, in view of bubble motion and mass transfer characteristics, the mutual influence between multi-component single-bubble motion and mass transfer, and the strengthening effect of bubble size on mass transfer.

The invention relates to the technical field of neural networks and machine learning, in particular to a lithium ore multi-component content prediction and detection optimization system based on machine learning. The system comprises a multispectral data fusion and preprocessing part, a correction and interference elimination part and a machine learning model prediction part. The multispectral data fusion and preprocessing part is used for performing fusion and normalization processing on the first light intensity signal and the second light intensity signal to obtain a fusion signal; the correction and interference elimination part is used for performing spectral line overlapping interference elimination processing on the fusion signal to obtain an interference elimination signal, and performing matrix effect correction on the interference elimination signal to obtain a correction signal; the machine learning model prediction part is used for performing feature extraction on the correction signal by using a preset machine learning model to obtain features; based on the feature response function, an initial content of each element is predicted. According to the invention, high-precision and intelligent detection of multiple components of the lithium ore is realized.

The embodiment of the invention discloses a centrifugal pump set fault identification method and equipment, and the method comprises the steps: carrying out the operation simulation of a centrifugal pump set comprising a plurality of parts under different working conditions, and enabling the different working conditions to comprise a multi-source domain corresponding to a marked known working condition and a target domain corresponding to an unmarked target working condition; obtaining multi-source domain operation data and target domain operation data; processing the multi-source domain operation data and the target domain operation data respectively to generate a multi-source domain feature time sequence and a target domain feature time sequence; the multi-source domain feature time sequence and the target domain feature time sequence are input into a multi-source domain adaptive network model for training, a centrifugal pump set fault recognition model is obtained, the centrifugal pump set fault recognition model achieves extraction of public global fault features from long sequences of a multi-source domain and a target domain, and global time sequence association between the features is established; and carrying out fault identification on the target domain through the centrifugal pump set fault identification model.

The invention discloses a life prediction method, device and system for a chain transmission system oriented to multi-component coupling, and the method comprises the steps: carrying out the topological structure decomposition of multiple components of the chain transmission system, and extracting the fault relation between the components of the system through combining historical fault data and expert knowledge; preprocessing the fault data to obtain a structured fault feature matrix; establishing a fault propagation network of the chain transmission system by using the cloud model symbol directed graph, and constructing a modularized fault propagation path reasoning model based on the functional relationship and working condition change of system components; dynamic simulation and real-time analysis are carried out on fault propagation of the system through compatible pathway search and qualitative and quantitative conversion of a cloud model; the random uncertainty and the cognitive uncertainty are quantified in a unified mode, and a regression model is adopted to conduct modeling on the degradation trend of the chain transmission system; and performing model parameter optimization, performing residual life prediction of the chain transmission system in combination with a first arrival time method, and giving out the confidence coefficient of life prediction through confidence interval analysis.

The invention discloses an internal and external flow coupling numerical simulation method, device and equipment and a storage medium, and relates to the technical field of numerical calculation, a flow state at an initial moment is determined to obtain an external field wall surface temperature, an external field multi-component chemical unbalance N-S equation is solved according to external field fluid boundary conditions, and the internal and external flow coupling numerical simulation result is obtained. External fluid boundary heat flow at the next moment and external field pressure at the next moment are obtained as coupling interface boundary conditions for internal field solution, internal flow of the porous sweating structure is solved through an enthalpy method equation set of TPMM and LTNE to obtain parameters at the coupling boundary at the next moment, and finally high-enthalpy unbalanced external field parameters at the termination moment are obtained. An N-S equation under a multi-component chemical unbalance hypothesis is adopted to solve supersonic outflow, a chemical reaction between an active cooling working medium and supersonic incoming flow under a supersonic condition is simulated, and wall surface heat flow and structural thermal response of the porous sweating cooling system are obtained.

The invention relates to a system and method for the digital authentication and / or digital enhancement of real-world physical items by integrating laser engraving, blockchain, optical scanning, multi-component code verification and information processing technologies to create permanent, secure, connected asset identifiers in both digital and physical formats for physical item anti-counterfeiting, anti-theft, item provenance and information storage applications. The present invention also relates to a system and method for the creation of unique non-fungible digital tokens which can be permanently connected or paired to unique physical items in the real world via the use of laser engraving techniques and multi-component information or QR code designs that are laser engraved on a physical item, and then optically scanned by anyone with a smartphone. The present invention also relates to a system and method that integrates non-fungible digital token software technology with laser engraving hardware techniques and multi-component information processing methods for the secure, permanent and traceable digital proof of ownership of a unique physical item, and also for physical data security protection against the forgery, copy or theft of unique digital information codes, digital asset data and non-fungible digital tokens that are connected or paired to unique physical items.

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 negative temperature coefficient medium-entropy thermistor material as well as a preparation method and application thereof. According to the invention, manganese dioxide, nickel oxide, cobalt sesquioxide, zinc oxide and copper oxide are used as raw materials, and a solid-phase reaction method is adopted to prepare the negative temperature coefficient medium-entropy thermistor material with a chemical formula of (NiX1CoX2ZnX3CuX4) Mn2O4. Wherein the values of X1, X2, X3 and X4 are 0.075-0.425, and X1 + X2 + X3 + X4 = 1. The negative temperature coefficient medium-entropy thermistor material is of a single spinel structure. The material has the hysteresis diffusion effect of medium-entropy ceramic, and by combining the coordinated optimization effect of multiple components, the material constant and the resistivity of the thermal sensitive ceramic can be remarkably reduced, and the anti-aging performance can be improved.

A system for detecting a state of a mechanism includes processing circuitry. The mechanism includes multiple components, at least some of which are capable of moving relative to each other. At least one state is specified for the mechanism, based on the alignment of the mechanism components. The processing circuitry identifies, within image data of the mechanism, reference points on at least two of the components. Based on respective locations of the reference points, it determines whether the components of mechanism are in one of the specified alignments (i.e. states), and outputs an indicator.

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.

The invention discloses ardealite-based concrete and a preparation method thereof, and belongs to the technical field of building materials. The ardealite-based concrete is prepared from the following raw materials in parts by weight: 40 to 60 parts of ardealite powder, 10 to 15 parts of cement, 8 to 10.5 parts of slag powder, 5 to 7 parts of fly ash, 4 to 6 parts of desulfurized fly ash, 5 to 10 parts of natural sand, 10 to 15 parts of ardealite-based artificial aggregate, 3 to 5 parts of eggshell powder, 1.5 to 3 parts of nano silicon dioxide, 0.5 to 1.5 parts of a water reducing agent, 0.05 to 0.2 part of a retarder, 0.1 to 0.5 part of an exciting agent and 0.3 to 1 part of an antifreeze agent. According to the invention, through process innovation of multi-component collaborative design and gradient aggregate doping, the technical bottlenecks of low strength, poor durability, high environmental protection risk and the like of traditional ardealite concrete are overcome while large-scale resource utilization of ardealite is realized, and a new thought is provided for high-valued utilization of industrial solid wastes.

The invention discloses a construction method of a synchronous pouring type precast concrete split cover beam, a component mold of the synchronous pouring type precast concrete split cover beam and a component manufacturing method.The combined component mold is composed of a bottom mold, a side mold, a first side mold and a second side mold, and a baffle is arranged in a pouring area of the component mold; a plurality of components can be synchronously manufactured at a time through the mold, then the multiple components are spliced on site and cast in situ to form the component-piece-type prefabricated concrete cover beam, manufacturing of the large-cantilever prefabricated cover beam under the special working conditions that the construction site is narrow, the distance between supporting stand columns is small, cantilevers on the two sides are large, and the stress requirement is high can be achieved, and due to the fact that the prefabricated concrete cover beam is heavy, manufacturing cost is low. The prefabricated concrete cover beam is simple in structure and high in transportation difficulty, the transportation and hoisting difficulty is reduced by manufacturing the multiple components in a split mode, the manufacturing difficulty of the prefabricated concrete cover beam is reduced, meanwhile, manufacturing of the prefabricated concrete cover beam with the larger size and weight can be achieved, and the requirements for the prefabricated concrete cover beam in different projects are effectively met.

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.

Provided is a multi-component separation system for battery crushing and recycling. The system comprises: a first screening mechanism (1), which is used for pre-screening treatment of materials after high-temperature pyrolysis; a secondary crusher (2), which is connected to the first screening mechanism and used for initial crushing treatment of the materials that have been screened out by the first screening mechanism and do not meet the requirements; a second screening mechanism (3), which is connected to the secondary crusher and used for screening treatment of the materials that have been crushed by the secondary crusher; a fine crusher (4), which is connected to the second screening mechanism and used for fine crushing treatment of the materials that have been screened out by the second screening mechanism and do not meet the requirements; a third screening mechanism (5), which is connected to the fine crusher and used for screening treatment of the materials that have been crushed by the fine crusher; and a specific gravity separator (6), which is used for separation treatment of the materials that have been screened out by the third screening mechanism and do not meet the requirements. Further provided is a multi-component separation method for battery crushing and recycling. According to the multi-component separation system and method, through the cooperation of multi-stage screening and multi-stage crushing, the battery crushing and recycling utilization rate is effectively improved.

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 server power consumption management method and device, electronic equipment and a storage medium, and relates to the technical field of computers, the future load change trend of a server can be predicted according to the load data of the server at the current moment, and a power consumption management strategy of the server is generated according to the load data and the load change trend at the current moment. The power consumption management strategy is utilized to adjust the operation parameters of at least one component in the multiple components, and the power consumption management strategy is predicted in advance and adjusted in real time, so that the load fluctuation of the server can be dynamically adapted, and insufficient resource allocation of the server under different load conditions due to a fixed static power consumption management strategy is avoided. Therefore, the technical problems that the resource allocation of the server is unbalanced and the energy efficiency is low due to the fact that the power consumption management strategy cannot be dynamically adjusted in related technologies can be solved, and the purposes of optimizing the resource allocation of the server and improving the energy efficiency of the server are achieved.

The embodiment of the invention discloses a method for generating page codes and electronic equipment. The method comprises the steps that a design file provided for a target page or a target area in the page is acquired; extracting visual feature information respectively corresponding to a plurality of design elements from the design file; the visual feature information of the design elements is assembled to a preset prompt information template to generate prompt information, and the prompt information template further comprises an optional component set which comprises use method information corresponding to multiple components and page development specification information; the plurality of components are respectively associated with predefined component codes; and calling an artificial intelligence (AI) generation model according to the generated prompt information, so that the AI generation model selects matched components for the plurality of design elements respectively, and generating description contents of page frame codes in a mode of quoting the components. Through the embodiment of the invention, the page development efficiency can be improved, the cost can be reduced, and the maintainability of page codes is considered.

A wireless communication network schedules multiple components carriers on a same frequency band to user equipment (UE) for transmitting wireless signals. The network may indicate to the UE when to use each carrier, and the UE my switch between transmitting on each carrier. The UE may transmit multiple different signals on each carrier. In particular, the UE may include a local oscillator (LO) that generates a first frequency of a first carrier, and couple the LO to the transmission paths when transmitting using the first carrier. The UE may then cause the LO to generate a second of a second carrier, and couple the LO to the transmission paths when transmitting using the second carrier. Additionally or alternatively, the UE may include a second LO that generates the second frequency, and couple the second LO to the transmission paths when transmitting using the second carrier.

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.

Methods, systems, and devices for wireless communications are described. Multiple component carriers may be configured for communications between communication devices, where uplink data channel resources may be scheduled on a component carrier of the component carriers. A communication device may report, over the uplink data channel resources to another communication device, a first report for available transmission power for uplink data transmissions over the component carrier and a second report associated with available transmission power for uplink control transmissions over a second component carrier. The other communication device may use the second report to determine the available transmission power for uplink control transmissions over the second component carrier. The other communication device may schedule communication resources based on the determined available transmission power for uplink control transmissions.

The invention discloses a transformer diagnosis method and system based on insulating oil detection. The diagnosis method comprises the following steps: acquiring gas concentrations of gas in transformer oil at a plurality of different time nodes within a time range; fitting according to the gas concentration of each component gas under the plurality of time nodes to obtain a gas dissipation curve of each component; calculating the gas production rate of each component gas in the time range according to the gas dissipation curve; obtaining a ratio matrix of the gas production rates of the component gases; and predicting a transformer operation fault corresponding to the ratio matrix through a neural network model. According to the method, the neural network model is utilized to predict the ratio matrix established among the multiple component gases, so that the comprehensive operation state of the transformer corresponding to the ratio matrix is obtained.

The invention discloses a multi-component heavy metal spectrum deep learning detection method and system, and belongs to the technical field of analytical chemistry and instrument analysis. According to the method, the UV-Vis spectral difference of multi-component heavy metals is enhanced through a combined chemical probe color development technology, complex nonlinear spectral signals are analyzed in combination with a deep learning model, and the generalization ability of the model is improved through a data enhancement strategy. The system is integrated with a lightweight end-to-end detection platform, is adaptive to low-cost portable equipment, and realizes minute-level multi-component synchronous detection. According to the method, a closed-loop technical path is formed through three core technologies (probe combination, spectrum enhancement and deep learning), the technical bottleneck of a traditional method in a multi-component, small-sample and complex scene is broken through, and an efficient, accurate and low-cost complete solution is provided for heavy metal pollution prevention and control; the method solves the problems of expensive equipment, low detection efficiency and insufficient multi-component analysis capability of a traditional method, and is suitable for scenes of environmental monitoring, sewage treatment and the like.

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.

Multiple component package structures are described in which an interposer chiplet is integrated to provide fine routing between components. In an embodiment, the interposer chiplet and a plurality of conductive vias are encapsulated in an encapsulation layer. A first plurality of terminals of the first and second components may be in electrical connection with the plurality of conductive pillars and a second plurality of terminals of first and second components may be in electrical connection with the interposer chiplet.

A method and apparatus of a device that determines a physical downlink shared channel scheduling resource for a user equipment device and a base station is described. In an exemplary embodiment, the device selects a plurality of component carriers from a pool of available component carriers associated with a wireless link established between the user equipment device and the base station. In addition, the device selects a virtual component carrier from the plurality of component carriers. Furthermore, the device determines a physical downlink shared channel scheduling resource based on at least the virtual component carrier.

The invention belongs to the technical field of automatic control, and particularly relates to an automatic proportioning control system for mine intersection filling materials. The system comprises a data acquisition and dynamic monitoring unit, an intelligent control and optimization calculation unit and an automatic execution unit, the data acquisition and dynamic monitoring unit is used for defining a multi-component proportion constraint and a total mass constraint, calculating the real-time local concentration of each component of the filling material slurry and establishing a comprehensive objective function for measuring the filling performance; the intelligent control and optimization calculation unit is used for constructing a pressure penalty function to quantify an overrun risk according to the determined pressure safety upper limit; dynamically solving the optimal ratio; and the automatic execution unit is used for converting the optimal ratio into the feeding flow of each component, and is controlled and executed through a pump valve. Under the complex mine working condition, the component proportion and the pump valve control instruction can be adjusted in real time, so that the stability of the filling material performance and the safety of the conveying process are guaranteed.