195 results about "Component type" patented technology

The embodiment of the invention discloses a chip verification environment generation method and system, electronic equipment and a storage medium, relates to the technical field of integrated circuit verification, can adapt to verification environments with different configurations, and improves verification efficiency. The method comprises the following steps: constructing or calling a verification environment template; analyzing the initial configuration information and the routing topology information, and generating a target configuration file according to an interface protocol and an interconnection rule of a register transfer level and a model; the routing topology information indicates an interconnection link topology structure between the devices, and the target configuration file indicates a component type corresponding to each device required by simulation forming of each interconnection link and a matched verification component type; loading and instantiating the register transfer level component and the model component based on the verification environment template according to the component type; and according to the verification component type, interconnection is carried out between the register transfer level component and the model component through the verification component, and a chip executable verification environment is generated. The method and the device are suitable for a scene for constructing a chip verification environment.

The invention discloses an automatic page generation method of a software construction platform based on a large language model, which comprises the following steps of: extracting a scene, a page and constraint description from a natural language demand, and generating JSON (JavaScript Object Notation) content containing a data model, a query condition, a table column and static data through the large language model; according to component type constraints and verification rules, the JSON is mapped to components and combinations of buttons, labels, texts, pictures, pull-down selection, multi-choice, single choice, tables, dates and the like of the code-free construction platform; and automatically filling a component set based on the upper and lower partition templates, and injecting static data and verification logic. Through industry knowledge adaptation, component semantic binding and dynamic constraint, it is ensured that the page conforms to field specifications and interaction logic, the learning cost is reduced, manual intervention is reduced, and the method is suitable for the fields of smart cities, natural resources, urban and rural residence construction, emergency management, enterprise digital transformation and the like.

The invention relates to a PCB component type selection method and system based on a knowledge graph and intelligent retrieval. Relates to the technical field of PCB design, and the method integrates knowledge in multiple aspects of performance parameters, packaging forms, supplier information and the like of components by constructing a PCB component knowledge graph, and establishes semantic association among the knowledge. And performing intelligent retrieval in the knowledge graph by using an information retrieval algorithm based on design requirements and constraint conditions input by a user, and quickly and accurately screening out components meeting requirements. Meanwhile, the multi-mode large model is combined to carry out comprehensive evaluation on the components, factors such as cost and supply stability are considered, optimal component type selection suggestions are provided for users, the efficiency and accuracy of component type selection in PCB design are improved, the cost is reduced, and intelligent development in the field of PCB design of electronic products is promoted.

The invention provides a front-end component display method and device, a storage medium, a server and a program product. The method comprises the following steps: receiving a component loading request initiated by a user; when the component loading request is received, calling a back-end configuration service to obtain configuration data; the configuration data comprises display rules and component types corresponding to different user types and terminal equipment types; matching corresponding display rules and component types according to the configuration data and user type information and terminal equipment type information corresponding to the component loading request; transmitting the user type information, the terminal equipment type information, the display rule and the component type to an abstract factory interface through a back-end configuration service, calling the abstract factory interface, and generating a corresponding front-end component object in the abstract factory; and loading the generated corresponding front-end component object to a page. According to the scheme provided by the invention, dynamic generation and display of the front-end component can be realized.

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 relates to the technical field of vulnerability detection, can be applied to business scenes such as financial science and technology, medical health and the like, and discloses a dependency processing method, device, equipment and medium for a multi-component project, which comprises the following steps of: analyzing description files of different component types in a multi-language project, extracting dependency data to generate unified dependency description; the method comprises the following steps: constructing a panoramic dependency graph containing component nodes and dependency edges, identifying version constraints of the component nodes to generate a unified constraint model, determining a compatible version combination by processing the constraint model, extracting a multi-component operation environment configured with a tool during installation and operation of environment configuration data, and installing project dependency according to the compatible version combination. And scanning the panoramic dependency graph based on the vulnerability information source to generate a repair instruction for updating the vulnerability component version. According to the method, centralized analysis and collaborative management of multi-language dependency are realized through unified dependency description and constraint models, and conflicts are reduced and the consistency and security of the system are improved in combination with environment configuration and a loophole repair closed-loop process.

The invention relates to the technical field of computer vision and pattern recognition, and discloses a multi-component object matching method and system based on graph matching. The method comprises the following steps: identifying each discrete component and component type label in a to-be-detected object image; forming a hierarchical set structure corresponding to the hierarchical relationship of the preset template; establishing undirected full-connection edges between adjacent levels, and filtering invalid edges to construct a dynamic graph; searching candidate sub-graphs matched with the topological structure of the preset template in the dynamic graph; calculating an affine transformation matrix between each candidate subgraph and a preset template; calculating a matching degree between the remaining candidate sub-images and a preset template, taking a matching result of which the matching degree exceeds a preset threshold value as effective matching, and outputting an object position coordinate and a geometric transformation parameter corresponding to each effective matching; according to the method, deep learning detection and graph matching technologies are fused, and hierarchical dynamic graph construction and backtracking affine two-stage verification are combined, so that the detection rate and the processing efficiency are greatly improved, and the mismatching rate is effectively reduced.

The invention discloses a bridge vortex-induced vibration sensitive pneumatic structure detection method and system based on three-dimensional laser scanning, and belongs to the technical field of bridge engineering and structural health monitoring. Three-dimensional point cloud data of a bridge structure are obtained through three-dimensional laser scanning, and geometric features are extracted after preprocessing; a pre-trained machine learning model is used for identifying the type of the component, shape comparison with a standard bridge type database is carried out, and whether the part has sensitive aerodynamic characteristics easily causing vortex vibration or not is comprehensively judged; for the sensitive characteristics, vortex-induced vibration risk parameters are calculated based on geometric parameters and compared with the inherent dynamic characteristics of the bridge to determine the risk level; for non-sensitive features, the evaluation is terminated. The method is mainly used for rapid evaluation of vortex-induced vibration risks in bridge design, construction and operation stages, provides technical support for bridge safety monitoring and maintenance, effectively prevents vortex-induced vibration accidents, and improves bridge durability and operation safety.

The invention discloses a highway engineering parametric modeling method based on a digital-analog driven component library, which comprises the following steps of: bringing different types of component space constraint logic (namely primary and secondary hierarchy rules) into a whole model modeling process, and determining a key design baseline point set of mutual influence among components by extracting section forms of different components; and on the basis of the design points and the standard cross section, parameterizing to generate space coordinates of different components and a coupling form with the terrain so as to support rapid adaptation and accurate construction of a three-dimensional model to complex route conditions. Through the mode, the technical problems that fitting precision of a parameterized model standard section and topographic data is lost and relevance between components is weak under the condition of a complex route are solved, meanwhile, corresponding design baselines and section parameters are stored through a database, section parameters and spatial positions of different components are calculated on the basis of clear spatial constraint logic, and therefore the fitting precision of the parameterized model standard section and the topographic data is improved. And rapid positioning, parameter updating and structure collaborative adjustment of the component are realized, so that the modeling efficiency and the design flexibility are remarkably improved.

The invention provides a dynamic page component and random ID routing linkage method, system and device and a medium, and belongs to the technical field of front-end development. The method comprises the steps that a JSON file containing a component type, an ID generation rule, routing mapping and operation configuration is received; generating and verifying a unique identifier; loading a corresponding page component; associating the identifier with the component and the route; monitoring an operation event to trigger routing jump and updating a historical record; and when monitoring path change or returning operation, matching a route and rendering a component. According to the method, the dynamic management component and the routing are configured through the JSON, so that the page development coupling is reduced; a unique ID generation and verification mechanism ensures the accuracy of component identification and avoids routing conflicts; the ID is carried when the operation event triggers routing jump, and state association is ensured; and path change monitoring automatically loads the target component and recovers the historical state, so that the operation continuity of the user is improved.

Using a training portion of a dataset, a set of component parameters comprising parameters of a component of an object detection model are trained. Using the trained set of component parameters, a set of backbone component weights comprising weights of component types in a backbone portion of the object detection model are trained. Using the trained set of component parameters, a set of backbone link weights comprising weights of links within the backbone portion are trained. Using the trained set of component parameters, a set of head component weights comprising weights of component types in a head portion of the object detection model are trained. Using the trained sets of component parameters, backbone component weights, backbone link weights, and head component weights, a trained object detection model is configured and trained to perform object detection.

Embodiments of the present disclosure provide a method, an apparatus, a device, a storage medium, and a computer program product for adjusting a parameter of a component. The method includes obtaining a target component type and a target adjustment for a target parameter. The method further includes determining, from a plurality of components, at least one target component belonging to the target component type. The method further includes adjusting the target parameter of the at least one target component according to the target adjustment for the target parameter.

The invention discloses a PC component BIM twinborn collaborative exchange method based on deep learning, and aims to solve the problems that unstructured multi-modal data of a site or a factory is difficult to automatically identify the identity, the state and the quality of a PC component and accurately map the unstructured multi-modal data with BIM twinborn objects one by one, and increment updating capable of realizing multi-party collaborative exchange is difficult to form. According to the method, time synchronization and coordinate calibration preprocessing is carried out on image data, video data and point cloud data, component instance recognition and feature extraction are carried out by using a deep learning model, and component state information and component quality information are generated; analyzing a BIM twinborn model to obtain priori features such as a unique identifier of a component, a component type, a size parameter, a spatial position and component geometry, performing cross-modal feature fusion under priori guidance, generating a candidate matching relationship, and constructing an optimal transmission cost matrix containing feature difference and constraint penalty to obtain a soft matching matrix; one-to-one mapping is obtained by adopting matching confidence rejection and assignment solution, an identification result and an evidence data index are written into a twinborn object, component-level difference is carried out on the twinborn object and a previous version to generate evidence increment exchange data, and the technical effects of high-reliability automatic updating and traceable cooperative exchange of the component-level twinborn model are achieved.

The invention provides a preparation method of a vertical fuse and a related device, and the method comprises the steps: obtaining the preparation parameters of a target fuse, and the target fuse comprises a plurality of parts; according to the preparation parameters, a preparation step corresponding to each component in the multiple components is determined, and multiple preparation steps are obtained; determining the part type of each part according to the preparation step corresponding to each part to obtain a plurality of part types; generating a control flow table according to the plurality of component types and the plurality of preparation steps, wherein the control flow table comprises an execution sequence of the plurality of preparation steps; and generating a control signal according to the control flow table, and outputting the control signal to an operation tool to control the operation tool to execute a corresponding preparation operation to prepare the target fuse.

The application provides a form dynamic generation method based on multi-source file analysis and multi-component mapping, relates to the technical field of industrial digitization, and the method acquires at least one template file preconfigured with a field anchor point, analyzes the field anchor point to obtain an anchor point record set containing an anchor point identifier, an identifier bearing environment and a source file position; performs structural analysis on the anchor point identifier according to the identifier bearing environment to obtain field attribution information, basic component type information and component capability modification information; merges the anchor point records based on the field attribution information and the source file position to obtain a business field node; determines a component combination mapping relationship based on the basic component type information and the component capability modification information under the business field node, and generates form configuration data for dynamically generating a target form by a target terminal, thereby improving the consistency of field conversion and the component expansion capability under different template sources.

The present disclosure relates to an automatic two-component resin inspection device for automatically determining in real time whether a two-component resin injected into a battery module is normal, an automatic two-component resin inspection system including the same, and an automatic two-component resin inspection method. An automatic two-component resin inspection device according to an embodiment of the present technology includes a housing with an open lower part, a lighting unit configured to emit light toward the open lower part of the housing, a camera unit configured to obtain a resin image by photographing a two-component resin injected into a battery module under the open lower part of the housing, and a determiner configured to determine whether the two-component resin injected into the battery module is normal on the basis of color information of the resin image obtained by the camera unit.

This invention discloses a combined large-span formwork support system, relating to the field of building formwork construction technology. It includes load-bearing members and force-transmitting members; the load-bearing members have a steel beam-like structure, including a top plate and a connecting part located below the top plate. The top plate is provided with wooden board fixing holes for fixing wooden formwork and steel plate fixing holes for fixing steel formwork. The load-bearing members are connected to form a main frame via connecting supports, and force-transmitting members are arranged within the main frame to form a spatial force-bearing grid skeleton. The load-bearing members are rigidly connected to the force-transmitting members via the connecting parts; the formwork panels are directly installed on the top plate of the spatial force-bearing grid skeleton through the load-bearing members. The rigid connection of multiple force-transmitting members via connecting supports forms an integrated spatial force-bearing grid skeleton, resulting in more direct force transmission, simplified component types, reduced installation layers, and improved construction efficiency. The wooden board fixing holes and steel plate fixing holes enable the formwork system to be compatible with both wooden and steel formwork.

This invention discloses a method, system, medium, and equipment for planning manufacturing process routes for aerospace product components, belonging to the technical field of intelligent aerospace manufacturing. It establishes a knowledge model of process division of labor and a digital model of process division of labor feature retrieval and identification; collects data to establish a basic database for process division of labor reasoning; determines the type of parts based on the EBOM database, classifies and labels the parts, and outputs the master manufacturing unit and cooperating units of the parts; retrieves process division of labor feature information from the digital model of components to determine the component type and outputs the master manufacturing unit and cooperating units of the components; retrieves process division of labor feature information from the digital model of assemblies to output the user units of the assemblies and their sub-components. Finally, it integrates and outputs the process route of the materials. This invention effectively improves the efficiency and quality of process route design.

The present application relates to the technical field of engineering drawing, and particularly relates to a three-dimensional model generation method, device, equipment and storage medium. The method loads a two-dimensional drawing through a building three-dimensional modeling software, identifies layer names of all layers in the two-dimensional drawing, and determines a component type of a component corresponding to each layer according to each layer name; determines a corresponding drawing identification mode and a corresponding information analysis mode according to the component type; extracts a drawing feature group corresponding to the component from a corresponding layer according to the drawing identification mode; analyzes the drawing feature group according to the information analysis mode to obtain modeling information corresponding to the component; and performs three-dimensional modeling based on the modeling information corresponding to each component to obtain a three-dimensional model corresponding to the two-dimensional drawing, thereby solving the problem of low accuracy in converting a two-dimensional drawing into a three-dimensional model in the prior art.

The application relates to a component tilt detection method, device, system and readable storage medium. The method comprises the following steps: extracting a plurality of component images corresponding to components from a to-be-detected two-dimensional circuit board image of a to-be-detected circuit board, and extracting a first component point cloud matched with the plurality of component images from a to-be-detected three-dimensional point cloud of the to-be-detected circuit board; performing clustering processing on the to-be-detected three-dimensional point cloud to obtain a plurality of second component point clouds; detecting a target component type corresponding to the plurality of second component point clouds according to the component types corresponding to the plurality of component images and the matching degrees between the plurality of first component point clouds and the plurality of second component point clouds; for each component, generating tilt influence parameter information corresponding to the component based on the target component type and the second component point cloud, and performing tilt detection on the component according to the tilt influence parameter information. The method can accurately detect the tilt of the components on the circuit board.

The application relates to a real model consistent comparison method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: acquiring indoor point cloud data and a building information model; registering the indoor point cloud data and the building information model to obtain a target coordinate space; exporting components of the building information model to obtain a component model set; extracting point clouds from the indoor point cloud data based on the target coordinate space, the component model set and the component model set to obtain a component model bounding box and component point cloud data; calculating a component completeness rate based on the component model set, the component model bounding box and the component point cloud data to obtain component completeness rate data; and performing component real model consistent comparison based on component type data of the component model set and the component completeness rate data to obtain a comparison result. The method can quickly compare whether a real scene and a BIM model are consistent.

The utility model discloses a component type curtain wall equal-pressure cavity waterproof and drainage structure, and relates to the technical field of building curtain walls, the component type curtain wall equal-pressure cavity waterproof and drainage structure comprises a cross beam, a mounting assembly mounted on the cross beam and two curtain wall bodies mounted on the mounting assembly, and the mounting assembly comprises a mounting seat fixedly connected to the cross beam; mounting grooves for mounting the curtain wall body are formed in the outer wall of the top and the outer wall of the bottom of the mounting base, an equal-pressure cavity is formed in the mounting base, and a drainage mechanism is mounted on the outer wall of the bottom of the mounting base and connected with a water pipe in the mounting base. According to the curtain wall component, the drainage mechanism is independently arranged on the mounting base of the curtain wall, so that the mounting base is conveniently assisted in drainage, the conical plug driven by the driving assembly is arranged in the drainage mechanism, the situation that rainwater flows back can be effectively avoided through the arrangement of the conical plug, and therefore the problem that an existing curtain wall component is prone to water seepage is solved.

The invention relates to a method for identifying an electronic component, in which at least one image, in particular a photograph, of the component is processed by means of image analysis. According to the invention, by means of the image analysis, components of the assembly are identified and a component type of at least individual of the components is determined. Suitably, different image analyses are carried out, and the results of the different image analyses are correlated to one another in order to identify components, determine component types and / or identify components. In one design of the invention, at least one of the image analyses is carried out by means of an artificial neural network which is trained to identify a component in the component and / or to determine which component type the respective component belongs to.

The invention relates to the technical field of lithium batteries, and particularly discloses a parameter optimization method of a mixed process and computer equipment. The method comprises the following steps: constructing a discrete element simulation model by mixing equipment based on the actual composition of a battery dry powder material, and configuring each simulation parameter; based on the discrete element simulation model and the simulation parameters, position coordinates and component types of all particles in the mixing process are obtained through simulation; on the basis of the position coordinates and the component types of all the particles, an overall mixing index is obtained; constructing a data set based on the combination of each target simulation parameter configured in multiple simulation processes and the obtained overall mixing index, and training a reduced-order model based on the data set; and connecting the trained reduced-order model to an optimizer to determine an optimal value combination of each target simulation parameter, and applying the optimal value combination of each target simulation parameter to a mixing process of the electrode dry powder. Therefore, the technical limitation of mixed quality evaluation is overcome, and the parameter optimization efficiency is improved.

The utility model discloses a component type curtain wall combined installation tool, and belongs to the technical field of curtain walls. The device mainly comprises a base; the adjusting mechanism is installed at the upper end of the base, the adjusting mechanism is provided with a fixing rod, the adjusting mechanism further comprises a fine adjustment assembly, the fine adjustment assembly is installed at the other end of the fixing rod, the fine adjustment assembly comprises an installation plate, and the installation plate is installed at the other end of the fixing rod; the extension rod is mounted on the fixed rod; the air cylinder is hinged to the extension rod; the control rod is hinged to the output end of the air cylinder; the rotating shaft is mounted on the mounting plate; the handle is mounted at one end of the rotating shaft; the cover plates are mounted at the two ends of the rotating shaft; the clamping groove is formed in the cover plate; the fixing sleeve is mounted on the mounting plate; and the clamping rod is mounted on the fixing sleeve. According to the component type curtain wall combined installation tool, the fine adjustment assembly is arranged, so that the purpose of fine adjustment during installation is achieved.

The invention provides a time series data anomaly detection model construction method and device, and relates to the technical field of data processing, and the method comprises the steps: segmenting the working condition time series data of each mechanical arm, and obtaining a plurality of local time series fragments; performing structure decomposition on each local time sequence fragment to obtain independent structure components; aiming at each component type, constructing a normal mode base which corresponds to the component type and is shared by all the mechanical arms and a learnable model coefficient which corresponds to the component type and is exclusive to each mechanical arm; projecting the normal mode base by using the model coefficient to obtain a reconstruction result; and superposing the reconstruction results of different component types to construct a structured normal mode representation model, and performing two-stage training on the structured normal mode representation model to obtain a time series data anomaly detection model. By adopting the time series data anomaly detection model construction method and device, the problems of high false alarm rate and insufficient stability of time series data anomaly detection are solved.

A method of inserting components into a motherboard comprising setting up a robotic cell including an end-of-arm tool, attaching a first tray feeder including a plurality of trays for the motherboards, and attaching a second tray feeder including a plurality of trays with the components. The method comprises loading a motherboard from the first tray feeder, identifying the motherboard, and identifying a component type based on the identifying of the motherboard. The method further comprises retrieving a tray with one or more components of the identified component type from the second tray feeder inserting the components into the motherboard.

The invention relates to the technical field of data analysis, in particular to a customized multi-thread analysis method for an equipment model based on an XML (Extensible Markup Language) file. Comprising the following steps: S1, configuring an equipment XML file and an XML analysis configuration file; s2, constructing an index table and a mapping table; s3, determining a target equipment model needing to be analyzed; s4, performing task allocation and recursive analysis; s5, combining and outputting analysis results; according to the equipment model customization analysis method based on the XML file, when the equipment type or the component type needing to be analyzed is newly added, only the newly added equipment type in the XML analysis configuration file and the component type and the attribute tag corresponding to the newly added equipment type need to be modified, and codes do not need to be reconstructed; and the equipment XML file can be specifically analyzed according to the equipment type, the component type list and the attribute tag list in the file through the XML analysis configuration file, so that the problems of resource waste and overlong time consumption caused by full analysis can be avoided.

The invention provides a component type roadway modeling and splicing method and system based on a total station, which are applied to the technical field of three-dimensional modeling, and the method comprises the following steps: respectively collecting three-dimensional coordinates and surface point cloud data of key feature points of a roadway through the total station and laser scanning equipment; after time synchronization and space registration, a unified three-dimensional point cloud is generated through fusion; extracting geometric features of the roadway based on the fused data, dividing the roadway into three types of basic geometric components including straight line segments, curves and intersections, and performing parameterized expression; performing sequential splicing on the components by adopting splicing constraints of coarse, medium and fine levels, and realizing high-precision model construction through endpoint matching, seam geometric error optimization and local fitting; and carrying out topological consistency check and global optimization on the spliced model, and outputting the topological consistency check and global optimization. According to the method, high precision, automation and structuralization of roadway modeling are realized, and the problems of large splicing error and inconsistent topology of a three-dimensional model in a complex roadway environment are effectively solved.