104 results about "Component type" 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 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 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.

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 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.

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.

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 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.

This application relates to the field of charging pile testing, and in particular to a method and system for detecting abnormal states of charging piles based on harmonic fingerprints. The method includes: acquiring a broadband harmonic raw dataset from the output end of the charging pile during charging; based on the broadband harmonic raw dataset, extracting and structurally encapsulating full-band harmonic components categorized into three major component types within the charging pile to generate a component-level harmonic feature fingerprint set; based on the component-level harmonic feature fingerprint set, performing fault harmonic mode matching and component category determination for the current abnormal charging pile to generate a fault component category information set; based on the fault component category information set, constructing fault component location confirmation and production responsibility traceability logic, generating and outputting a fault diagnosis and traceability report set. This application, in the process of detecting abnormal states in charging piles, can locate the root cause of the fault, guide efficient maintenance, and drive the optimization of component design and procurement quality.

The invention discloses a construction management and BIM component intelligent association method based on semantic space analysis. The method comprises the steps that original voice signals are collected and processed; converting the voice signal into text information; performing entity recognition on the text information, and extracting entities; extracting space coordinates and attribute information of the components, and constructing a three-dimensional space index; searching all components in the spatial position range by utilizing a three-dimensional space index, and filtering to obtain candidate components; sorting the candidate components based on the space coordinates and the component types of the candidate components, and generating a mapping relationship between relative sequence numbers and component identifiers; mapping the relative sequence number of the entity into a component identifier by utilizing the mapping relationship; calculating the matching degree of each candidate component in multiple dimensions and the total matching degree to obtain a target BIM component; the detection result and the target BIM component are stored in an associated mode, and the attribute or state of the corresponding component in the BIM model is updated. The information association efficiency and the matching accuracy can be improved.

The invention relates to a garbage flow control method and device based on an elevator, equipment and a medium. The method comprises the steps that the coverage area of garbage on a conveying belt of the elevator, the weight per unit length, the component type mark of the garbage and the linear speed of the conveying belt are obtained; the coverage area, the weight per unit length, the component type marks and the linear speed of the conveying belt are subjected to synchronous alignment processing, and a synchronous data set with completely synchronous time is obtained; flow calculation is conducted based on the synchronous data set, and the initial instantaneous flow of the garbage on the conveying belt is obtained; processing the initial instantaneous flow rate by adopting adaptive Kalman filtering to obtain a precise instantaneous flow rate; obtaining a flow error and a flow error change rate based on the accurate instantaneous flow; a control instruction is obtained based on the flow error and the flow error change rate; and controlling the operation of the elevator based on the control instruction. Dynamic changes of garbage components and flow can be sensed in real time, operation parameters of the elevator can be rapidly adjusted, and the overall treatment efficiency of the elevator is improved.

The present disclosure relates to a bridge information processing method, device, equipment and storage medium. The method comprises: determining a plurality of structure information corresponding to a plurality of bridge structures in the bridge, and a plurality of component positions corresponding to a plurality of bridge components in each bridge structure; for each bridge structure, generating a component identifier corresponding to each component type in the bridge structure according to the assembly information and the component detail information, and assigning the component identifier to the corresponding bridge component according to the component type and the component position; determining a plurality of component models according to the component types corresponding to a plurality of bridge components, and adding the plurality of component models to the corresponding component positions to obtain a bridge model corresponding to the bridge; establishing a component tree diagram of the bridge according to the component identifier, and associating and displaying the component tree diagram and the bridge model. Thus, the belonging relationship of the bridge components is intuitively displayed through the component tree diagram, and the unified collaborative management of information is realized.

The invention belongs to the technical field of building industrialization and computer aided design, and discloses an assembly type component model generation method and system.The method comprises the steps that basic design data and construction deviation historical data of target assembly type building engineering are obtained, and an initial design data set and a standardized construction deviation historical data set are generated respectively; establishing a construction deviation distribution characteristic parameter set based on the construction deviation distribution characteristic parameter set, wherein the parameters are associated with component types, spatial position ranges and connection forms; determining a target component set and an assembly path relation, and matching corresponding construction deviation distribution characteristic parameters for each component; and taking the basic design data and the matching parameters as generation constraint parameters, inputting the generation constraint parameters into a component generation sub-module based on an encoder-decoder architecture, and generating a fabricated component model. Deviation adaptation logic is integrated in the design stage, the construction rework probability can be reduced, the structural stability and component universality are improved, and the method is suitable for multi-layer or high-rise fabricated concrete structure buildings.

The utility model provides an automatic feeding and positioning device for PCBA micro elements, belongs to the technical field of PCBA processing, and aims to solve the problems that in the using process of an existing automatic feeding and positioning device for PCBA micro elements, a vibration disc and a material rod are fixed in structure, the existing automatic feeding and positioning device for PCBA micro elements is difficult to quickly adapt to micro elements of different specifications, and when element types are replaced, shutdown, disassembly and readjustment of the material rod are needed, so that the production efficiency is high. The device comprises a discharging positioning assembly which is fixedly mounted on the upper end surface of a base; the fixed supporting frame is fixedly connected to the upper end face of the base. The material taking assembly is fixedly installed at the upper end of the fixed supporting frame. The fixed seat is fixedly connected to the upper end surface of the base; the material rod is connected to the upper end face of the fixing base in a sliding mode. The replacement mechanism is arranged on the inner side of the fixed seat; the adjusting mechanism is arranged on the outer side of the material rod; through the arrangement, the material rod can be conveniently replaced, the working efficiency is improved, and the labor intensity is reduced.

The embodiment of the present disclosure discloses a product BOM structure-based relationship modeling management method, device and system, the method comprises: importing product design data generated from a product design tool, extracting type information of each component in the product design and relationship information between each component; defining related information of a plurality of object models, which is used for structured representation of each component type of the product, contained attributes, and a life cycle of each component type and a life cycle state thereof, and defining an entity storage structure based on the related information of the object models for structured storage of product data; defining related information of a relationship model between the plurality of object models; based on the related information of the object models and the related information of the relationship model, creating a page model using a visual what-you-see-is-what-you-get page modeling tool, the page model being used for showing related information of business data generated by the object models and the relationship model.

The application relates to the field of hydraulic component cleaning, and discloses a hydraulic component cleaning method and a hydraulic component cleaning system. The hydraulic component cleaning method comprises the following steps: determining the component type of a hydraulic component to be cleaned; determining the component parameter or component specification of the hydraulic component to be cleaned according to the determined component type; determining the corresponding cleaning pressure based on a preset corresponding relationship according to the determined component type and the component parameter or component specification, specifically, the corresponding relationship between the component type, the component parameter or the component specification and the cleaning pressure can be obtained through multiple hydraulic component cleaning tests; determining the cleaning time; and cleaning the hydraulic component to be cleaned according to the determined cleaning time and cleaning pressure. The application can greatly improve the cleaning effect of the hydraulic component, and the cleaning liquid can be accurately used, so that resource waste can be avoided.

In parts searches, the system allows for multidimensional filtering by using type (part category) and condition (new, used, etc.) as independent criteria. [Solution] The information processing device comprises a storage unit that stores component IDs and attribute information in association, and a control unit that searches for components based on the attribute information. The attribute information includes component type information indicating the type of component and component condition information indicating the state of the component, each as separate data items. The condition information includes a value indicating whether the component is new, used, or refurbished, and the control unit identifies components that meet the conditions based on the combination of component type information and condition information.

This application provides a method, apparatus, electronic device, computer-readable storage medium, and computer program product for predicting the health of tightening equipment. The method includes: obtaining a batch of tightening samples of a target tightening equipment from a preset sample trend library; obtaining target sample drift characteristics of the target tightening equipment based on the batch tightening samples and a preset standard template library; obtaining target equipment drift characteristics of the target tightening equipment based on a first normal sample of the batch tightening samples and the preset standard template library; when the number of abnormal samples in the batch tightening samples exceeds a preset threshold, performing a health prediction based on the target sample drift characteristics and the target equipment drift characteristics to obtain a health prediction result. Abnormal samples refer to workpiece samples with abnormal process inspection results. The health prediction result includes at least one of the following: abnormal component type, abnormal confidence level, and abnormal level. This application can predict potential abnormalities in tightening equipment in advance, improving the accuracy of equipment health prediction results.

The invention relates to the technical field of data processing, in particular to a component data processing method, system and equipment supporting multi-type expansion, and the method comprises the steps that a basic data structure is defined, the basic data structure comprises a basic field and an expansion attribute field, and the basic field comprises a component type; receiving component data which is submitted by the front end and is represented based on the basic data structure; analyzing a component type in the component data; and according to the component type, routing the component data to a corresponding component processor based on a preset policy factory, and processing and storing the component data through the component processor. Thus, through the scheme provided by the invention, remarkable comprehensive beneficial effects can be generated in the aspects of unifying data processing, facilitating function extension, improving development efficiency and guaranteeing system stability.

The invention discloses an automatic process control system and method for a low-code platform, and relates to the technical field of computers.The method comprises the steps that source data of a user on the low-code platform are obtained according to the preset frequency, and snapshots are generated; the source data and predefined cue words are spliced to serve as large language model input; the large language model outputs structured suggestions, and the suggestions are classified and displayed for users to confirm; after the user confirms, recording related data as a training sample and adjusting the suggestion display frequency; constructing an event chain library, calculating a matching degree between an actual operation event chain and an operation event chain in the event chain library according to an editing distance algorithm, and recommending a component type; according to the method, the local network speed and computing power data of the user are obtained, the learning rate of the large language model is weighted and adjusted after normalization, training is completed in a local background, intelligentization and high efficiency of automatic process control of the low-code platform are achieved, and user operation experience and platform applicability are improved.