32 results about "Component modeling" patented technology

The invention relates to the technical field of prefabricated part modeling, in particular to an interaction system for prefabricated part steel bar parameter driving design and a modularization implementation method. Incrementally updating the engine; the model application module is used for acting the change patch sequence on the three-dimensional reinforcement model in a transaction mode and driving display refreshing; the system further comprises a rule base module and an interpretable verification module. The rule base module stores a steel bar arrangement rule and / or a standard verification rule in a constraint declaration form; the interpretable verification module is used for performing compliance verification on the three-dimensional reinforcement model or the derived quantity thereof based on the evidence data field, and outputting a violation item list; the interactive interface comprises parameter panels and a violation interactive area, and the parameter panels are displayed in groups according to component type parameters, geometric parameters, steel bar parameters and specification options and support interactive modification. According to the method, the script dependency is reduced, the dependency graph increment patch is updated in real time, the automatic specification matching and positioning are realized, and the low-cost expansion is governed by the plug-in.

The invention belongs to the technical field of data processing, and discloses an active intelligent operation and maintenance monitoring method for a data center, which comprises the following steps: step 1, component modeling and topology configuration; 2, carrying out distributed health detection and data acquisition; 3, performing real-time health assessment and anomaly detection; 4, performing intelligent alarm and root cause analysis; 5, unified operation and maintenance and closed-loop control are carried out; and step 6, dynamically optimizing the intelligent operation and maintenance strategy. According to the method, a monitoring object and a dependency relationship are clarified through component modeling and topological configuration, and specific scenes, such as multi-mode acquisition, active detection, index pulling, log analysis, coverage message queue theme accumulation and database connection pool exhaustion, of distributed health detection are combined. The quantitative health score is calculated based on the preset scoring model, and by combining with the dynamic baseline learned by the ARIMA or LSTM algorithm, the module abnormity can be actively detected in different periods and weekly updating, and the problems of fault discovery lagging and incomplete monitoring coverage are solved.

The invention relates to the technical field of medicinal liquor component detection, and discloses an accurate detection system for medicinal liquor components. The system comprises a multi-source spectrum acquisition module, a dynamic component modeling module, a multi-mode difference fusion module, an abnormal component positioning module and a detection strategy optimization module. The multi-source spectrum acquisition module synchronously captures near-infrared absorption spectrum, Raman scattering spectrum and liquid chromatogram-mass spectrum combined data, and generates a standardized spectrum data matrix through adaptive filtering; the dynamic component modeling module constructs a feature extraction network based on a historical spectrum library, and outputs a theoretical component vector containing a target active component concentration interval; the multi-mode difference fusion module generates a multi-dimensional difference tensor through multi-mode difference analysis; the abnormal component positioning module generates an abnormal component distribution probability thermodynamic diagram in combination with the medicinal material association topology network; and the detection strategy optimization module dynamically configures detection parameters according to the thermodynamic diagram. According to the system, accurate detection and abnormal positioning of medicinal liquor components are realized, and the comprehensiveness and intelligent level of detection are improved.

The application discloses a rock component modeling method based on image recognition and belongs to the technical field of numerical simulation tests, and comprises the following steps: S1, image gray processing and coordinate mapping; S2, gray statistics and threshold backstepping; S3, data import and model correspondence; and S4, mineral grouping and attribute assignment steps. The application can accurately acquire the mineral composition information of granite by fusing XRD test results and digital image processing technology, and can construct a modeling system in accordance with the actual rock microcrystal grain morphology and distribution characteristics in the discrete element software, so that the accuracy and the calculation efficiency of the numerical model can be effectively improved, and the visualization capability of the rock crack propagation process can be enhanced.

The application provides a compiling method and device of a programmable logic control system and electronic equipment, wherein the method comprises the following steps: determining configuration setting information, communication data content format information and IO variable logic variable management information of a target programmable logic control system; determining program organization unit source files supporting the target programmable logic control system, and forming program organization unit source files of corresponding target versions; and generating a download file of the target programmable logic control system based on all program organization unit source files of the target versions, so as to control the target programmable logic control system to run. Through the mapping of logic variables and IO variables, the component modeling and management method of the logic program set is established, the componentized splicing type logic adaptation and differential logic incremental content compilation for different wind power equipment configuration scenes are realized, the artificial burden is reduced, and the compiling efficiency is improved.

This invention discloses a multi-channel software-defined radio platform modeling method, apparatus, medium, and system, belonging to the field of software-defined radio technology. The method includes the following steps: S1, device component modeling: defining inherited device components, input / output ports, and device attributes; S2, device component encapsulation: constructing container code and functional code, with the functional code nested within the container code, and compiling the device component container code and functional code together to generate executable code; S3, waveform component and device component communication: when multiple channels are deployed simultaneously with waveforms, the waveform component is connected to the device component. The device component receives data from the first waveform component through its port and then sends the data to the second waveform component through the underlying driver. This invention supports complete decoupling of waveform modeling and platform modeling, which can reduce the workload of waveform modeling during waveform development.

This application provides a distributed server rendering method, system, and medium. The method includes: component-based modeling and metadata definition of the rendered page using a component modeling module to obtain a component dependency model graph; acquiring user rendering request information; analyzing this information using a caching decision module to obtain a caching decision strategy; identifying independent rendering fragments using a fragmented rendering module based on the component dependency model graph; performing server-side fragmented rendering to obtain rendering fragment content packages; and performing multi-channel parallel transmission using a collaborative transmission module. Upon receiving the data, the client interaction module performs DOM rendering and data association binding to restore page interactivity. This application achieves distributed server rendering by constructing a component dependency model graph and defining metadata, making dynamic caching decisions based on real-time context and a preset component caching benefit prediction model, and combining fragmented rendering and multi-channel collaborative transmission with progressive data association and interaction recovery.

The invention belongs to the field of structural strength analysis, and particularly relates to a mechanism motion fatigue reliability platform construction method. The method comprises the following steps: S1, constructing a database; s2, constructing a key part and failure mode module based on the database; s3, constructing a moving part modeling module based on the database; s4, constructing a moving part stress total spectrum module according to a simulation analysis result of the moving part modeling module; s5, constructing a sensitivity analysis module according to the total stress spectrum of the moving part; s6, constructing a fatigue test evaluation module based on the database; s7, constructing a fatigue life analysis module based on the database and the total stress spectrum of the moving part; and S8, constructing a life evaluation module based on a fatigue test evaluation result and a fatigue life analysis result. According to the mechanism motion fatigue reliability platform construction method, an integrated design analysis framework is provided, and a method and means are provided for durability design of aircraft motion parts and construction of an analysis platform.

The invention relates to the technical field of computer software, and provides a rule engine rapid construction method based on liteflow. The liteflow-based rule engine rapid construction method comprises the following steps: S1, a state adaptive component modeling step: defining a logic component comprising at least two operation states; according to the liteflow-based rule engine rapid construction method provided by the invention, an environment monitoring agent can actively sense a thought of link quality reduction or computing resource shortage in real time, and then a core scheduler can intelligently switch an execution path to a standby degradation link within a millisecond level according to a preset graph in a rule storage library, so that the execution efficiency is improved. According to the technical scheme of the invention, the state self-adaptive component is used as a control component, and the degradation logic of the state self-adaptive component is called, so that life-critical core services such as anti-collision early warning and traffic signal lamp control can be ensured to obtain the most basic continuous guarantee under the worst condition, and the safety redundancy, reliability and deployment feasibility of the system in various marginal environments are greatly improved.

This invention provides a method, device, and equipment for optimizing the reliability of distribution networks based on full-component modeling, relating to the field of smart distribution technology. This invention addresses the assessment bias caused by incomplete consideration of fault sources by acquiring basic data of distribution network nodes and full parameters of reliability and cost for all components. It accurately characterizes the correlation between faults and power outages by analyzing the impact of single and multi-fault coupling on load nodes and constructing a fault correlation matrix for all components, reducing computational bias caused by multi-fault coupling. It replaces traditional massive sampling simulation methods with an explicit analytical calculation model based on matrix algebra operations, solving the problems of computational explosion and low efficiency in optimization iteration. Finally, by constructing a dual-objective optimization model and combining iterative solutions with the analytical model, it achieves coordinated optimization of distribution network reliability and economy, solving the problems of large bias and low efficiency in existing distribution network reliability calculation and optimization methods.

The invention discloses a CAD vector data-based engineering quantity calculation method and terminal, and the method comprises the steps: obtaining and analyzing geometric data and attribute data in a target CAD drawing, and generating a vector object set; constructing a global topological structure according to the incidence relation of each object in the vector object set; on the basis of the global topological structure and a preset geometric constraint, performing aggregation in the vector object set to generate candidate component instances comprising structured features; taking the structured feature of each candidate component instance as the input of a neural network model, and outputting parameterized modeling information of the corresponding candidate component instance by using the neural network model; and generating a component model based on the parametric modeling information, performing engineering quantity calculation according to a preset engineering quantity rule based on the component model, and outputting a calculation result. According to the method, the output result of the neural network is directly linked with the component modeling and engineering quantity calculation process, so that the automation and large-scale application of the engineering quantity calculation process can be realized.

The invention discloses an industrial equipment time series data prediction method and system based on multi-frequency component modeling, and the method comprises the following steps: carrying out the multi-layer wavelet decomposition and reconstruction of the obtained time series data of industrial equipment; obtaining multiple layers of low-frequency trend signals for representing long-term stable change of equipment operation data and high-frequency detail signals which are complementary with the low-frequency trend signals and are used for capturing short-term fluctuation; performing interactive modeling on the low-frequency trend signal and the high-frequency detail signal through a feature fusion mechanism to generate an updated low-frequency trend signal; constructing a low-frequency prediction model according to the updated low-frequency trend signal, and generating a low-frequency prediction result for describing the overall operation trend and long-term change of the system; constructing a high-frequency prediction model according to the high-frequency detail signal, and generating a high-frequency prediction result used for supplementing low-frequency prediction result detail information; and fusing the low-frequency prediction result and the high-frequency prediction result of each level, integrating prediction information of different frequency bands, and generating time domain prediction output.

The invention discloses an automatic production line three-dimensional simulation debugging and monitoring method, and relates to the technical field of industrial simulation, and the method comprises the steps: carrying out the modularization modeling, motion and sensing configuration and process sequence arrangement of a production line assembly on a three-dimensional simulation platform, and obtaining a simulation engineering package, a process sequence table and a port dictionary; mapping the port dictionary into an object, a variable and an event node of a unified architecture address space, and solidifying a namespace version to generate a binding table; and controlling engineering variable unification according to the port dictionary drive, performing unified architecture subscription release configuration according to the binding table, executing virtual joint debugging, and collecting address space variable change records and event node trigger records to form an event mirror image volume and three-party version fingerprints. According to the method, the event mirror image volume, the namespace version, the virtual controller project version and the simulation project package version form a three-party version fingerprint, and fixed-point correction and namespace version incremental of the control project and the simulation project are achieved.

The scheme discloses a kind of complex system component modeling method based on data driving and related product, wherein the steps of the method include: complex equipment system component modeling and combat process constraint description;Combat process data and complex equipment system component modeling associated combat equipment system are analyzed by co-simulation, and the analysis results such as model checking, knowledge matching and conflict resolution of real combat process data and simulation data are obtained.The scheme can schedule the bottom equipment component model under the atomic behavior component model, thereby improving the behavior modeling efficiency and enhancing the reusability of atomic behavior component model.At the same time, based on the combat process constraint described by description logic, the model checking, knowledge matching and conflict resolution of real combat process data and simulation data are used to realize model confidence evaluation, constraint relationship analysis, rule matching analysis and model optimization.

This invention provides a method and apparatus for Manchu speech synthesis based on character component modeling, belonging to the field of speech synthesis technology. The method includes: converting Manchu text into Latin characters according to transcription rules, generating a character embedding sequence, and generating feature templates containing dimensions such as fundamental frequency and pitch band based on the acoustic characteristics of Manchu pronunciation; concatenating the two templates into a high-dimensional input tensor, which is then fed into a pre-trained duration prediction network; constructing a mask, extracting prosodic features from the Manchu Latin-transcribed character embedding sequence to generate a prosodic vector, and adjusting the attention weights between characters and speech frames in the pre-trained feature network to obtain the prosodic space, Mel-spectral sequence, and optimal alignment path; finally, inputting the vector into a lightweight multi-band inverse short-time Fourier transform decoder for Manchu to obtain a complete synthesized speech waveform. This invention can significantly and effectively solve the core problem of text-speech frame matching deviation in low-resource Manchu scenarios, and its inference speed is significantly improved compared to general models.

According to the optimization design method for the main scale of the floating type fan structure, the limitation that only indexes such as stability and weight are concerned in traditional optimization is broken through, the structural strength is taken into the optimization core, the reasonability and safety of the main scale design of the floating body are remarkably improved, and later design rework caused by insufficient strength is avoided; a traditional shell unit is equivalently replaced by a beam unit, and parameterization automatic modeling is combined, so that the solving time is greatly shortened, the requirement for rapid scheme design in the initial stage of a project is met, and the industrial problem that structural detail calculation is low in efficiency is solved; an iterative optimization mechanism can dynamically adjust section parameters of the component, the weight of the floating body is minimized on the premise of ensuring that the strength reaches the standard, and the material and manufacturing cost is directly reduced; the process covers the whole links of component modeling, load analysis and strength verification, the universality is high, the method can be matched with various floating wind power platforms such as a semi-submersible type and a tension leg type, and the application range is wide.

The invention relates to the technical field of irregular part modeling, in particular to an irregular part modeling method and device, a vehicle, a medium and a program product, and the method comprises the steps: obtaining an initial long fiber laying composite material irregular model of an irregular part; performing thickness region division according to the target thickness; based on the single-layer thickness of the long fiber ply composite material and the area thicknesses corresponding to the areas with different thicknesses, single-layer attribute information of the corresponding long fiber ply composite material is determined, the long fiber ply composite material is laid according to the single-layer attribute information, the initial irregular model of the long fiber ply composite material is optimized, and the irregular model of the long fiber ply composite material is obtained. And constructing an irregular model of the long-fiber laminated composite material. Therefore, the problems that the calculation result is inconsistent with the reality and the calculation result is inaccurate due to the fact that the extraction middle plane cannot accurately reflect the actual paving layer information are solved; the entity unit cannot reflect the single-layer attribute information of the long fiber laying layer, and the simulation analysis result cannot evaluate the long fiber laying layer.

The invention relates to the technical field of ancient building repair, and discloses a reverse engineering-based ancient building incomplete component modeling and repair scheme feasibility analysis method and system. The method comprises the steps of obtaining multi-dimensional current situation data of a target building component, and reconstructing a three-dimensional entity model of the target building component; defining an incomplete area and a real transition area; carrying out area division and identification code distribution on the incomplete area and the real transition area, carrying out identification code association on the incomplete area and the real transition area, generating a repair scheme of the incomplete area, synthesizing a complete simulation entity of the target building component and determining a simulation transition area; and based on the deviation value between the simulated transition area and the real transition area, iteratively optimizing the repair scheme until a preset threshold value is met, and outputting a final repair scheme. According to the method, the problems that traditional repair depends on subjective experience, and the repair effect is difficult to verify are solved, digital generation, virtual verification and iterative optimization of the repair scheme are achieved, and scientificity, anticipation and reliability of ancient building repair are improved.

The invention discloses an air pipe variable-diameter component modeling and material quantity design method, computer equipment and a storage medium. The design method comprises the following steps that (1) inlet section parameters, outlet section parameters, variable-diameter length parameters and material parameters are obtained; (2) taking a variable diameter length parameter as a main control variable, and automatically constructing a three-dimensional variable diameter geometric model according to inlet and outlet section parameters; (3) calculating the surface area of the component according to the constructed geometric model, and calculating the weight of the component in combination with material parameters; (4) when any input parameter changes, automatically recalculating the surface area and the weight; (5) writing a calculation result into component attributes and applying the calculation result to engineering detail table statistics; wherein the section of the inlet and the section of the outlet comprise a circular section, a rectangular section or a mixed section and are used for being realized in a three-dimensional modeling or building information model platform; the invention discloses computer equipment and a computer readable storage medium. Computer instructions are used for the computer air duct variable-diameter component modeling and material quantity design method.

The application relates to the field of building models, in particular to a three-dimensional building model management system and method based on modular design, which comprises a point cloud forming module, a component management module, a assembling and integrating module, an internal expansion module and a model checking module; the point cloud forming module is used for collecting entity point clouds and generating building component models; the component management module is used for establishing topological connection relationships among components; the assembling and integrating module is used for obtaining building external models; the internal expansion module is used for establishing in-layer topological road networks; and the model checking module is used for merging and outputting three-dimensional building models; the application can improve the component modeling efficiency, improve the model details, reduce the building cost, solve the problems of low three-dimensional modeling automation, unreal texture, poor model regularity and the like, make the model have richer semantic information analysis capability, improve the model reality, and have good expansibility and practicality.

The invention discloses a reinforced concrete structure anti-seismic performance evaluation method considering construction influence. The method comprises the following steps of S1, data reading, wherein geometric parameters and reinforcement information of all components in a structure are read in a structure model; s2, structural modeling calculation: carrying out elastic-plastic time-history analysis on the overall structure and evaluating the anti-seismic property of the overall structure; s3, instantiating the component: instantiating the component according to component information output in the overall structure analysis and writing component model information; and S4, component modeling calculation: calling a parameterized modeling program based on ABAQUS secondary development according to component model information to establish an analysis model, completing component analysis and evaluating the anti-seismic property of the component. According to the method, the influence of structural anti-seismic construction measures is considered, and the overall structural analysis and the fine analysis of local components are organically combined, so that the analysis precision, the analysis reliability and the analysis efficiency are improved, and the evaluation of the anti-seismic performance of the existing building is facilitated.

A system and processes address the anticipatory availability of complex, interdependent systems composed of multiple products and services related to the user and their body. These systems, known as mixed systems, utilize anticipatory digital modeling to facilitate user decision-making, aiming for both comfort and resource savings. A digital model for anticipatory modeling will consist of several partial models or sub-models, each with a fixed component modeling repetitive elements and a time-varying component specific to each availability model. Partial models of the user's body parts and their environment will be active within these models. The anticipatory modeling process, comprised of two phases—analysis and predictive modeling—will utilize these partial models.Variants of the Local Party Device (LPD) will be available to the user and, depending on their needs, interconnected by the central component of said device, the automatic Availability Supervisory Center (ASC), in communication with the interactive ASC and its human assistant to provide even more relevant advice. Figure to be published for the summary: [Fig. 5].

The embodiment of the invention discloses a civil engineering structure modeling method and system based on point cloud and electronic equipment. The modeling method comprises the steps that real scanning point cloud data and a design drawing of a civil engineering structure are acquired; performing image segmentation on the real scanning point cloud data to obtain independent point cloud data corresponding to each independent component; obtaining component modeling parameters based on the independent point cloud data; based on the design drawing of the civil engineering structure and the component modeling parameters, obtaining built-in structure data corresponding to each independent component in the component type with the built-in structure; and generating a three-dimensional entity model of the civil engineering structure based on the component modeling parameters and the built-in structure data. The defects that traditional manual modeling is low in efficiency, high in subjectivity and difficult to reflect actual deformation of the structure are overcome, the current situation of the target structure can be accurately reflected, and the method has important application value in the field of finite element analysis and the like.

The application provides a kind of inflatable decelerator flexible structure finite element model's surrogate model correction method, belongs to aerospace engineering structure simulation and finite element model correction field, including: establishing initial finite element model and identifying airbag stiffness, skin stiffness, rigid-flexible connection stiffness as to be corrected parameters, determine modal frequency as target response parameter;Through finite element simulation to construct sample data set;Combined with quadratic polynomial and radial basis function to construct surrogate model, get the model that satisfies accuracy after training and verification;With the test measured modal frequency as target, combined with genetic algorithm to optimize the surrogate correction parameter and get the optimal combination;The optimal combination is substituted into the initial model to complete the correction, and through multi-order modal frequency verification to ensure that it meets the engineering precision.The application solves the problems of insufficient adaptability of flexible component modeling, low fitting precision of small sample parameter coupling, and lack of adaptability of dynamic target and correction method, and realizes high-precision correction of flexible structure finite element model under small sample.

The application discloses a kind of software radio unified modeling method and system, belong to software radio field, including steps: determining modeling object is platform modeling and waveform modeling;Wherein, platform modeling is abstract modeling to each computing unit, and waveform modeling includes waveform component modeling and waveform application modeling;Waveform component modeling at least one modeling waveform component runs on computing unit, and multiple waveform components can be simultaneously deployed on computing unit;Waveform application modeling is assembled into waveform application by establishing interconnection between waveform components;Then execute the modeling process of creating platform model, creating waveform model, establishing platform and waveform connection relationship, and carry out modeling detection;After modeling detection, establish basic model set;The basic model set includes platform model subset and waveform model subset.The application improves modeling efficiency and standardization degree.

A method and apparatus for color picture coding using a coding tool includes deriving inheritance candidates from a block vector of a current block or a neighboring block. According to the method, one or more block vectors associated with a current block or one or more neighboring blocks of the current block are determined. One or more inheritance candidates are determined using information including one or more block vectors. A candidate list including the one or more inheritance candidates is determined. The candidate list is used to encode or decode the second color block, and when one or more inheritance candidates are selected for the current block, cross-component prediction data of the second color block is generated according to one or more target cross-component models.

This application provides a modular simulation modeling system, method, electronic device, and storage medium, comprising: a model development device for responding to user modeling requirements and generating a model matching the modeling requirements; a component modeling device for responding to user component modeling operations, determining a target component general template corresponding to the component modeling operation from a component general template, and generating a target component based on the target component general template and the model; an entity assembly device for responding to user entity modeling operations, determining a target entity general template corresponding to the entity modeling operation from an entity general template, and generating a target entity based on the target entity general template and the target component; and a distributed deployment device for deploying different models on servers with different computing power according to the model computing power requirements of multiple target models. This application can improve the flexibility and convenience of modeling in different application scenarios and can improve the resource utilization rate of simulation after modeling.

The application belongs to the field of aero-engine thermal management, and is a fuel thermal management simulation method. A preliminary system flow path diagram is established through the physical logical relationship connection between components, and then the interaction relationship between the components based on the heat and mass transfer process is developed. The complete system flow path diagram is established according to the interaction relationship between the components. The component modeling is carried out according to the characteristics between different components. After the modeling is completed, simulation analysis is carried out, and the simulation system is continuously corrected through the difference analysis with the test data until the set simulation data threshold requirement is reached. From the aspects of problem positioning, system schematic diagram confirmation, component interaction relationship establishment, component characteristic establishment and simulation implementation, a standardized simulation analysis process is established. The component performance and the heat and mass transfer between the components are considered. Through the simulation analysis method based on the component characteristics, high-precision simulation is realized, and the system is simple and the process is standardized.

The invention relates to an aerodynamic characteristic six-component modeling method based on a functional learning method, which belongs to the technical field of aircraft aerodynamic characteristic modeling, and comprises the following steps: firstly, establishing an initial data set, performing data identification and screening, and removing unreasonable data; performing mathematical transformation, and dividing the data into a learning set and a verification set; constructing an initial model according to the data in the learning set, and performing verification through a verification set; then evaluating the model; and finally, carrying out lightweight processing on the verified model, and finally outputting an aerodynamic coefficient display function model. Cross-wind-tunnel and cross-scale data training is fused, the model can break through limitation of a single wind tunnel flow parameter coverage range, six-component prediction under the conditions of a wide-domain Mach number and an attack angle is achieved, and generalization errors are reduced compared with a traditional empirical model. According to the method, the dependence on mass data is remarkably reduced through feature parameter dimensionality reduction and function space constraint on the basis of a physically guided symbol regression framework, and the efficiency is greatly improved by relying on analytic model characteristics.

The application relates to an intelligentized building engineering three-dimensional modeling system and method, which comprises a data acquisition module, an intelligent preprocessing module, a collaborative modeling module, an intelligent optimization module, a model storage and calling module, a visual display module and an interface expansion module, and the modules are mutually associated and cooperatively work. The application adopts an integrated architecture of multi-source data fusion, AI automatic modeling, multi-specialty collaboration and whole-process optimization, breaks through the bottleneck of traditional modeling which relies on manual work and has low efficiency; through an AI generative design algorithm and a parameterized modeling algorithm, automatic modeling of special-shaped components and complex nodes is realized, and the problem that complex component modeling is difficult in the prior art is solved; a lossless lightweight optimization algorithm is constructed to solve the model performance bottleneck on the premise of reserving core information; a two-way linkage mechanism of the model and whole-life-cycle engineering data is established to promote the model from visualization to decision-making upgrade, and the defect that the model is disconnected with the actual engineering in the prior art is made up.