274 results about "Component type" patented technology

The invention discloses an AI and BIM-based project cost control method and system, and the method comprises the steps: obtaining the three-dimensional model data of a target building, analyzing the file structure of the three-dimensional model data, recognizing the type, size parameters and material attributes of a component, building a mapping relation between a component coding system and an attribute tag if the three-dimensional model data passes the integrity inspection, and carrying out the construction cost control of the target building. Generating a standardized component data set; constructing a material price fluctuation prediction model according to the historical price record, intercepting time series data by adopting a sliding window mechanism, and if the price fluctuation amplitude in the material price fluctuation prediction model exceeds a preset threshold, triggering an early warning identifier, and generating cost prediction data with a risk level; and carrying out association mapping on the standardized component data set and a quota library by adopting a coding matching mechanism, and if component attributes are successfully matched with quota entries, converting and generating engineering quantity data based on geometric parameters, and calculating the cost of a single project. The cost prediction accuracy is improved.

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 provides a unit type curtain wall component matching method and system combined with AI identification, and the method comprises the steps: firstly obtaining a field image data set of a to-be-matched unit type curtain wall which comprises a plurality of component local image units with spatial position marks, and then carrying out the image feature extraction processing of the field image data set; surface texture features and structure contour features of the component local image units are obtained, then a pre-trained component matching model is called to carry out joint matching analysis on the surface texture features and the structure contour features, and a standard component type matching result is generated; determining matching consistency information of each component local image unit and a standard component library according to a standard component type matching result, and finally generating a matching optimization instruction containing a component replacement or adjustment instruction based on the matching consistency information, and feeding back the matching optimization instruction to a curtain wall construction management system to trigger a component configuration adjustment operation. Automation and intelligentization of unit type curtain wall component matching are achieved, and matching efficiency and precision are improved.

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 discloses a business process construction method and system, and the method comprises the steps: generating a directed acyclic graph in response to the dragging operation and connection operation of a user on a component on a graphical interface; according to the types of the components and the dependency relationship among the components, topological sorting is conducted on the components in the directed acyclic graph, a component execution sequence list is generated, and the components in the component execution sequence list are added into a weighted priority queue in sequence; calculating a weighted priority of each component according to each component type, component complexity, component execution frequency and component resource consumption; the component execution sequence is adjusted according to the weighted priority of each component, and a final component execution sequence is generated; and sequentially connecting and configuring the components according to the final component execution sequence to generate an executable business process. The business process construction method is more efficient and more flexible.

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 belongs to the technical field of smoothness detection of glass guide rail lifting systems, and discloses a performance detection and analysis method of a guide rail glass lifting system. According to the method, the noise data, the output current and the vibration time domain signal are subjected to data analysis to construct the smoothness comprehensive evaluation matrix, the system state is comprehensively evaluated from multiple aspects of frequency band energy, current fluctuation, vibration frequency and the like, the operation anomaly characteristics are comprehensively covered, the anomaly recognition accuracy is improved, and the system reliability is improved. A scientific basis can be provided for performance quantitative evaluation, and the one-sidedness of a single parameter is avoided. When the smoothness of the guide rail glass lifting system is judged to be abnormal, the abnormal part can be accurately recognized based on the noise spectrum mapping relation, meanwhile, the specific abnormal position is positioned in combination with current, vibration signals and position-time mapping, double positioning of the part type and the physical position is achieved, manual blind troubleshooting is avoided, and the working efficiency is improved. And the fault diagnosis efficiency and the maintenance pertinence are improved.

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 provides a processing method and system for multiplexing low-code platform components and related equipment. The method comprises the following steps: acquiring project component parameters and managing component states by using a Vuex mode; deeply copying the multiplexing component by using a Loash library; performing data serialization on the multiplexing component to obtain to-be-processed component data; carrying out ID related parameter replacement on the to-be-processed component data based on a preset rule; performing event decoupling on the to-be-processed component data through an observer mode, and processing a nested task by using a recursive algorithm; performing message subscription, equipment resource updating, API resource updating and page resource updating on the to-be-processed component data; performing variable mapping relation updating of a preset processing mode on the to-be-processed component data based on the component type; and performing CSS style modularization and style isolation on the to-be-processed component data to obtain target component data, and registering the target component data. According to the method, the automatic processing of the component ID, the dependency relationship, the associated resources and the nested structure in the component multiplexing process is realized.

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 front-end list componentization code automatic generation method and system based on visual configuration, and belongs to the technical field of computer software front-end development, and the method comprises the following steps: a visual configuration interface is used for realizing the structure, state and interaction logic of a user-defined component, including component type selection; header configuration: supporting definition of column names, field names and display formats; column configuration is operated, and button adding and event logic binding are supported; the template library is used for storing preset or user-defined component templates; the code generation engine is used for dynamically generating codes meeting componentization specifications according to configuration; version management supports version backtracking and sharing of templates and codes. According to the method, high-quality modularized codes can be quickly generated in a standardized configuration mode; and according to the preset rules and templates, HTML, CSS and JS codes meeting specifications are automatically generated, so that the repeated labor of developers is reduced, and the development efficiency and the code quality are improved.

The invention relates to the technical field of chip mounter component identification and positioning, and particularly discloses a component characteristic parameter rapid acquisition method and system, a storage medium and equipment, and the method comprises the following steps: respectively extracting a characteristic contour of each characteristic group of a component ROI region, the characteristic group being a group of characteristics which are consistent in shape and are uniformly distributed in the component ROI region; fitting the feature contours of the feature groups to determine shape parameters of the feature contours; shape parameters of all the feature contours are counted, and element types are determined according to statistical results; and on the basis of the determined element type, integrating the shape parameters of the feature contours in the feature groups to obtain complete element feature parameters. According to the scheme, the features of each feature group are independently calculated by utilizing a traditional image processing mode and are integrated according to a certain rule, so that the processing speed is high, the parameter result is accurate, the operation method is simple, the learning cost is low, and the requirement on operators is low.

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 belongs to the technical field of power systems, and particularly relates to a power grid impedance simulation device, a design method and a use method.The design of the device comprises the steps that the types of needed components are determined, and the number of the components and electrical parameter values are obtained according to the actual national standard in combination with the minimum component number criterion; all components are connected according to needs, and a controller is adopted to realize corresponding control so as to support working condition simulation and switching of different short circuit ratios and series compensation degrees; a switch logic control program is set in the controller, so that when the controller receives a power grid working condition switching instruction, switching of working conditions corresponding to the power grid short-circuit ratio and the series compensation degree is achieved by executing the preset switch logic control program. According to the technical scheme, through the integrated design of parameter calculation, hardware topology and logic control, the problems of low test efficiency, poor simulation precision and high cost in the prior art are solved, and an efficient, accurate and economical solution is provided for the adaptability test of the new energy converter under a double-high power system.

The invention relates to a component inclination detection method, device and system and a readable storage medium. The method comprises the following steps: extracting component images corresponding to a plurality of 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-measured three-dimensional point clouds to obtain a plurality of second component point clouds; detecting target component types corresponding to the plurality of second component point clouds according to the component types corresponding to the plurality of component images and the matching degree between every two of the plurality of first component point clouds and the plurality of second component point clouds; and for each component, generating inclination influence parameter information corresponding to the component based on the target component type and the second component point cloud, and performing inclination detection on the component according to the inclination influence parameter information. By adopting the method, the inclination detection of the component on the circuit board can be accurately carried out.

The invention relates to the technical field of electrical engineering, in particular to a chip mounter suction nozzle distribution method and device based on a switching station and a storage medium, and the scheme comprises the steps: obtaining at least one element type on a target PCB and the number of elements corresponding to each element type in the at least one element type; according to the at least one element type and the element number corresponding to each element type, obtaining at least one suction nozzle type and the number of each suction nozzle type in the at least one suction nozzle type; determining the number of times corresponding to each suction nozzle type according to the number of each suction nozzle type; obtaining the total number of times corresponding to all the element types according to the number of times corresponding to each suction nozzle type; and determining a suction nozzle distribution instruction of the chip mounter based on the exchange station according to the total number of times. The method improves the utilization rate of the suction nozzle, reduces the production cost, shortens the production cycle, and enhances the controllability of the production process.

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.

The invention relates to the technical field of integrated circuits, and provides an electronic component type selection method and device, electronic equipment and a storage medium. A component parameter library is obtained and multi-dimensional normalization processing is performed on the component parameter library to obtain a standardized parameter tensor, so that principal component analysis is performed on the standardized parameter tensor to obtain a dimensionality reduction feature space, and spectral clustering analysis is performed on the dimensionality reduction feature space to obtain a plurality of functional equivalence classes. And performing reliability degradation modeling on the function equivalence class to obtain an MTBF prediction matrix, performing multi-target optimization on the MTBF prediction matrix to obtain a Pareto leading-edge solution set, and finally performing fuzzy decision on the Pareto leading-edge solution set to obtain a model selection scheme of the electronic component. According to the method, a comprehensive component type selection process is formed through multi-dimensional normalization processing, dimension reduction feature space analysis, spectral clustering analysis, reliability modeling, multi-objective optimization and fuzzy decision, so that components meeting requirements are accurately and efficiently selected.

The invention relates to the technical field of equipment management, and particularly discloses an equipment component maintenance monitoring method and system, and the method comprises the steps: obtaining a login request sent by a user side; the login request comprises login information configured in a user login page; responding to a judgment result that the login request meets the verification condition, and controlling the user side to jump to a part maintenance management page; obtaining a component type sent by a user side; according to the component type, determining the remaining component service life and the intelligent reminding condition corresponding to the component type; responding to a judgment result that the service life of the remaining part meets the intelligent reminding condition, and outputting part reminding information to the user side; receiving and storing component maintenance data sent by the user side; the component maintenance data is data generated when the user side determines a component maintenance strategy according to the component reminding information and performs component maintenance operation. According to the method, the maintenance, management and monitoring processes of the equipment parts can be standardized, the maintenance quality is improved, and equipment faults caused by improper maintenance are reduced.

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 invention relates to the technical field of structured light three-dimensional detection equipment, and discloses an automatic structured light three-dimensional scanning detection method, which comprises the following steps: carrying out three-dimensional scanning on a standard part for teaching, and constructing a parameter packet of the standard part; collecting three-dimensional point cloud data of the surface of the standard part, and constructing a three-dimensional model; the three-dimensional model and the parameter package are combined to construct a formula of the corresponding part type, and a formula database is formed; scanning a two-dimensional code or a bar code of a to-be-detected part to obtain information of the to-be-detected part, and matching a detection formula in the formula database; and calling the detection formula to carry out three-dimensional scanning detection on the to-be-detected part so as to determine a detection result of the to-be-detected part, and binding the detection result with the scanned two-dimensional code or bar code. According to the invention, simple change of real-time parameters in the scanning operation process is realized, the working speed of automatic operation is effectively improved, the time cost of using equipment is reduced, the use threshold of operators is reduced, and the simplicity and convenience of the system are improved.

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.