637 results about "Design data" patented technology

The invention discloses an automobile wire harness process rule automatic matching method based on a knowledge graph, and the method comprises the following steps: collecting wire harness design data, and carrying out the standardization processing; analyzing the process rule base, extracting key attribute fields and generating a process rule metadata set; semantic modeling and structured fusion are carried out, and a process knowledge graph is constructed; performing semantic association analysis, causal constraint fusion and feasibility judgment processing by utilizing a semantic retrieval enhancement module; carrying out provable retrieval, risk assessment and conflict resolution based on the candidate process rule set; converting the target process rule set into a process instruction, and driving a design system to perform synchronous updating and rule labeling; and updating the process knowledge graph based on system feedback data, and outputting an optimized process verification report and updating a design version. The method is based on the knowledge graph and the semantic causal fusion technology, intelligent matching of the wire harness process rules is achieved, and the method has the advantages of being high in matching precision, high in interpretability and capable of achieving self-adaptive optimization.

The embodiment of the invention provides a turning and milling combined machining deformation control method and system for a special-shaped part, and is used for the technical field of numerical control machining. The turning and milling combined machining deformation control method for the special-shaped part comprises the steps that structural feature analysis and process association marking are conducted on design data of the special-shaped part to generate a feature association data set, and clamping and process planning are conducted according to a machining constraint database and the feature association data set to generate initial turning and milling combined machining process data; cutting parameter multi-objective optimization solution is carried out on the initial turning-milling combined machining process data to obtain a turning-milling cutting parameter set, and multi-axis linkage analysis and instruction collaborative planning are carried out on the turning-milling cutting parameter set according to the equipment operation feature set to generate a combined machining control instruction set. According to the method, through part key feature recognition and risk marking, combined machining control instructions are generated after layered digital twinning verification in combination with process multi-objective optimization, and the one-time qualified rate of special-shaped part machining and turn-milling combined machining process stability are improved.

The invention discloses a coal drop pipe full-life-cycle operation and maintenance decision-making method. The method comprises the steps of S1, coal drop pipe full-life-cycle data collection; s2, constructing and updating a digital twinborn body of the coal drop pipe: S2.1, constructing a multi-dimensional digital twinborn body comprising a geometric model, a physical model, a behavior model and a rule model, and comprehensively describing the characteristics of each aspect of the coal drop pipe; s2.2, dynamically updating the twinborn body, and dynamically updating the twinborn body through a data driving algorithm by using real-time monitoring data; s3, health state evaluation and reliability prediction, including short-term health diagnosis and long-term reliability prediction; s4, carrying out dynamic operation and maintenance decision making based on risks and cost; and S5, performing decision issuing execution and closed-loop feedback. According to the method, the design data, the real-time monitoring data, the environment data and the operation and maintenance historical data are integrated, the coal drop pipe digital twinborn body is constructed and dynamically updated, it is ensured that the model is consistent with the physical entity state, and the comprehensiveness and timeliness of the data are improved.

The invention discloses a cable-stayed bridge cross brace optimization system based on system reliability and an intelligent algorithm, which relates to the technical field of bridge engineering, and comprises a multi-source parameter input module used for collecting and processing data such as a main beam section, stay cable parameters, a strain sequence, a vibration sequence, a satellite cloud picture, a traffic monitoring flow, laser point cloud and the like; and outputting the structured design data, the monitoring data flow, the dynamic load spectrum, the probability distribution model and the construction error correction parameters. According to the invention, all-dimensional data such as design, monitoring, load, materials and construction errors are integrated through the multi-source parameter input module, and multi-level and dynamic reliability evaluation is carried out on the component, the subsystem and the system level by using the system reliability analysis module, so that the component failure probability, the system reliability index time sequence and the like can be output; therefore, the real reliability level of the cross brace of the cable-stayed bridge in the whole life cycle is reflected more accurately, and the one-sidedness of a traditional method is avoided.

The invention provides a ship-based unified storage and management design data method, which comprises the following steps that: an operation end generates and sends an editing request with a node identifier, an editing type, a timestamp and a digital signature, and a WEB front end receives and verifies the legality of the request through an encryption channel; the storage service generates an intention lock based on the permission table and version number matching, and concurrent access control is achieved. Then, the WEB front end carries out content definition partitioning (CDC) and Hash fingerprint calculation on a design file stream, the storage service realizes partitioning duplicate removal and incremental storage according to a fingerprint matching result, and a Merkle tree is utilized to construct a file version integrity Hash root; on this basis, the system analyzes model differences, constructs a semantic difference chart, and calls a rule engine to perform automatic pre-check. According to the method, efficient storage, collaborative editing, security and credibility and hierarchical scheduling management of ship design data are realized, and the method has the technical advantages of high data consistency, high resource utilization rate, traceability auditing and the like.

The invention discloses a map generation method, electronic equipment and a robot, and relates to the technical field of artificial intelligence. The method comprises the steps of generating a structured prior map representing an environmental space occupation state according to environmental geometric shape design data of a target physical task space; determining a simulation path of the intelligent mobile device moving in the passage area of the structured prior map, and performing simulation scanning operation on the virtual physical model of the target physical task space along the simulation path to obtain laser point cloud simulation data and motion state simulation data; and generating a navigation map based on a pose map according to the laser point cloud simulation data and the motion state simulation data. According to the method and the device, the problems of high dependence on manpower, time consumption and uncertain generation results during map generation in the prior art can be solved, the map with high accuracy can be efficiently and automatically generated at low cost, and the task execution efficiency and the task execution precision of the intelligent mobile equipment are improved.

The invention discloses a design manuscript code generation and visual error iterative correction method and system based on multi-agent cooperation, and aims to solve the problems of low front-end code generation efficiency, poor visual restoration degree and lack of an automatic correction mechanism in the prior art. The system constructs a four-node state diagram based on LangGraph, automatically initializes a series engineering scaffold, obtains design data and generates a structured protocol, and generates a component code based on the protocol and performs visual verification and iterative correction on four processing nodes. The method comprises the following steps: dynamically generating an engineering scaffold through a large language model agent, converting Figma design data into a structured protocol, and carrying out iterative optimization by utilizing a judger-repairer mode until an error is lower than a threshold value; according to the method, high-fidelity automatic delivery from the design manuscript to the code is realized, and the executable front-end engineering code and the visual reduction degree analysis report are output.

The invention provides a power transmission and transformation project full-life-cycle carbon emission design system based on multi-objective optimization, and the system comprises a full-life-cycle carbon emission database module which is used for storing carbon emission factors and technological parameters of a power transmission and transformation project in each stage; the engineering scheme modeling module is used for generating an engineering scheme including a standardized bill of materials and a construction list based on the carbon emission factors and the process parameters in combination with engineering parameters and design data; the carbon emission evaluation module is used for evaluating the full-life-cycle carbon emission of the engineering scheme; the multi-objective optimization module is used for realizing synchronous optimization of the carbon emission and various constraint conditions to obtain a plurality of engineering scheme solution sets; and the decision support and visualization module is used for visually displaying the target optimization solution set and the carbon emission of the whole life cycle, automatically generating an engineering scheme for comparative analysis, and assisting a decision maker to quickly select an optimal scheme. And through a multi-objective collaborative optimization method, synchronous optimization of full-life-cycle carbon emission and economic objectives is realized.

The invention relates to the technical field of integrated circuit design automation, and discloses an integrated circuit design whole-process collaborative verification and consistency guarantee method, which comprises the following steps of: constructing a unified design data model, and representing design data from function specifications to physical layout by using a multi-level attribute graph structure; establishing a design intention keeping mechanism, and tracking the transmission of the design intention in the hierarchical refinement process through intention semantic annotation, cross-level entity mapping and intention keeping degree evaluation; executing a hybrid verification strategy, combining formalized verification with dynamic simulation, and guiding verification resource allocation through a coverage rate feedback mechanism; performing constraint consistency check, performing constraint comparison at key nodes of the design process, and automatically identifying and positioning constraint conflicts; according to the method, the capture time of design errors can be brought forward by 80%, the number of design iterations is reduced by 40%, and the design quality and efficiency are remarkably improved.

The invention relates to a photomask data processing method and device, equipment, a medium and a program product. The method comprises the following steps: acquiring current photomask design data; processing the current photomask design data to obtain pattern density information and pattern size information of each target area; a thermodynamic diagram used for representing the defect degree of each target area is generated; obtaining a target area with a defect degree greater than or equal to a defect threshold value, and determining defect classification of the target area based on pattern density information and pattern size information of the target area; when the defect classification comprises pattern density classification, obtaining a target area of a target area, when the target area is greater than an area threshold value, performing functional area identification on the target area, extracting a key signal path in the functional area, determining a splitting boundary based on the functional area and the key signal path, and designing data of a current photomask based on the splitting boundary, and adjusting. By adopting the method, the photomask design data can be optimized in advance.

A marking apparatus includes a marking apparatus main body including a target, a traveling mechanism for automatically traveling on a traveling surface, and a printer, and a control unit configured to control the printer and the mechanism. The control unit controls the traveling so that the mechanism automatically travels along a set traveling route, the control unit compares position coordinates of the marking apparatus main body obtained from three-dimensional position coordinates of the target during traveling input at predetermined intervals with the traveling route, and corrects traveling to eliminate a deviation from the traveling route, the control unit controls the printer so as to print the marking information set at a position corresponding to the position coordinates of the marking apparatus main body, and traveling route data setting the traveling route and marking information data defining the marking information are created based on CAD design data.

The invention relates to the technical field of engineering design intelligent review, and discloses an engineering design specification review method based on a multi-modal large model, and the method comprises the steps: building engineering design structured information based on the multi-modal data standardization of an engineering drawing, a specification text, an engineering design data table and an engineering design calculation book; according to the engineering field type identification information, in combination with an AI intelligent identification algorithm and an engineering design review multi-modal large model program based on big data storage, carrying out intelligent and accurate construction of a multi-modal large model program required by engineering design specification review; based on engineering design object feature information, engineering field type identification information and engineering design drawing type analysis information, an AI intelligent identification algorithm and a scientifically stored engineering design review comprehensive graph are combined to accurately construct a comprehensive knowledge graph required by engineering design specification review. The engineering design specification review comprehensive knowledge graph is intelligently matched based on the engineering design review scene, and the quality of engineering design specification review is improved.

The invention provides an automobile TARA analysis method and system based on multi-modal input and hybrid intelligence, and the method comprises the steps: extracting text entity information and image objects from vehicle design data, carrying out the intelligent matching of the text entity information and image objects, and constructing a structured asset list, detailed attribute description and a network topology structure diagram; performing threat identification and attack path deduction on the identified assets, and retrieving most relevant information fragments; and calling a large language model to generate an analysis result based on the multi-stage structured prompt, and outputting a standardized TARA report after post-processing. According to the invention, through the improved target identification model, the detection precision and robustness of tiny icons, slender buses and shielding elements in a complex and intensive automobile framework diagram are obviously improved; according to the method, the accuracy and authority of large language model reasoning are improved through path deduction and most relevant information fragments; the subjective deviation of manual analysis is eliminated while the analysis time is greatly shortened, and the high consistency of analysis results is ensured.

The invention relates to the technical field of intelligent manufacturing and supply chain collaborative management of woven garments, in particular to a garment production process management system based on artificial intelligence, and the system comprises a production network management center which is used for obtaining a node execution entropy value; the demand dynamic analysis unit is used for carrying out feature extraction analysis on the collected unstructured design data to obtain an order complexity coefficient; the strategy game matching unit is used for obtaining a steady-state scheduling signal or a recovery scheduling signal; when a steady-state scheduling signal is generated, the collaborative scheduling execution unit is used for generating a global optimal scheduling instruction, and minimizing turnover time is taken as an optimization target; when a recovery scheduling signal is generated, the collaborative scheduling execution unit is used for generating a risk recovery scheduling instruction, taking a minimum node execution entropy value as an optimization target, and actively inhibiting pursuit of turnover time; according to the method, the problem that the hidden risk of the node cannot be sensed in the prior art is effectively solved, and an accurate quantitative basis is provided for subsequent preventive scheduling.

The invention discloses a Solar-Think photovoltaic power station intelligent construction platform, and the platform comprises a photovoltaic power station intelligent design module which is used for automatically generating design data; the photovoltaic power station construction collaboration module is used for converting a design model in the design data into a digital twin model, collecting construction data in real time through Internet of Things equipment, and dynamically updating a construction state in a virtual space; the predictive operation and maintenance module is used for predicting equipment faults through an LSTM neural network based on design parameters, construction records and real-time operation and maintenance data of the design model and generating an optimal maintenance path in combination with the digital twinborn model; and the photovoltaic power station full-process data closed-loop architecture module is used for automatically synchronizing the design model to the construction collaboration module, reversely correcting the design model based on construction data, creating association between the construction data and the operation and maintenance data, forming an equipment full-life-cycle file, and transmitting the equipment full-life-cycle file to the construction collaboration module. And feeding back the operation and maintenance data to the design module to support next-generation power station scheme optimization.

The invention discloses an electronic component intelligent classification method and system based on design data, and the method comprises the steps: obtaining a design file of a printed circuit board and a corresponding board image; analyzing based on the design file to obtain bit numbers and layout pose information of the components, determining image areas of the components in the board surface image according to the bit numbers and the layout pose information, and generating standardized component images corresponding to the components one by one; extracting feature vectors from the standardized component image to form a component feature set; executing clustering based on the component feature set to obtain a plurality of category clusters; and displaying representative samples of the category clusters, receiving semantic annotations of users on the category clusters, establishing a mapping relationship between the clusters and the categories, and outputting classification results of the components based on the mapping relationship. According to the technical scheme, the electronic component classification efficiency is improved.

Various implementations disclosed herein include systems, methods, and apparatuses for automatically generating a customizable virtual interface embedded in a platform. For example, a specialized interface configured to provide communications between a user and the electronic device may be presented in response to a single executed action and in response to a prompt from the user executed via the specialized interface, sensor and apparatus design data associated with generating a virtual interface is obtained from external systems. The virtual interface is configured to enable actions associated with enabling the user to create a specialized structure. The process may further generate the virtual interface embedded in a platform based on the sensor and apparatus design data and may include potential configurations of the specialized structure. 3D renderings of the plurality of potential configurations of the specialized structure may be presented to the user via the virtual interface.

The invention discloses an automatic design method and system based on BIM software. The method comprises the following steps: initializing an adaptation layer dynamic link library, and establishing a parameter transmission channel with BIM software; preparing BIM design data, registering a basic task in BIM software based on the BIM design data, and establishing a standardized project directory; establishing a parameterized set of tasks which can be automatically modeled; serially arranging the task set into a task list according to design logic, and recording the task list to a project project; and calling the adaptation layer interface through the parameter transmission channel to drive the BIM software or a professional application module in the BIM software to complete automatic modeling. According to the method, the engineering design rule is solidified into the accurate task sequence by calling the BIM software or the interface of the professional application module in the BIM software, automatic execution of the whole process is achieved, the technical problems that manual operation efficiency is low and an existing RPA technology cannot process complex BIM design logic are solved, and design efficiency and quality are remarkably improved.

The invention provides a water conservancy monitoring method and system based on digital twinning, and the method comprises the following steps: collecting real-time monitoring data through a sensor disposed in a water conservancy system; meanwhile, historical monitoring data and hydraulic engineering design data are obtained; the method comprises the following steps: constructing a digital twinborn model by adopting a three-dimensional modeling technology and a finite element analysis method based on hydraulic engineering design data, historical monitoring data and real-time monitoring data, and carrying out initialization calibration on the digital twinborn model through the historical monitoring data; using the calibrated digital twinborn model to simulate the operation state of the water conservancy system in real time; when the operation state of the water conservancy system exceeds a set threshold value, an early warning signal is sent out in time. According to the invention, real-time and accurate monitoring and efficient early warning of the operation state of the water conservancy system are realized.

The invention discloses a chest wall defect three-dimensional reconstruction and personalized repair material design system, and relates to the technical field of intelligent medical aided design. Comprising a data acquisition module used for acquiring and preprocessing multi-modal data of the chest wall of a patient; the partition module is used for dividing the defect area into different functional partitions by coupling and analyzing stress and blood flow data and setting a threshold value; the dynamic optimization module is used for mapping the breathing time sequence to a three-dimensional space and dynamically correcting the partition boundary according to the stress change in the breathing cycle; the interface matching module is used for carrying out parameterization design on a host bone interface according to the bone mineral density data; and the optimization design module is used for carrying out topological structure and pore distribution dual optimization on the repair material based on the dynamic partition and the interface parameters, and finally, the output module generates design data capable of directly driving manufacturing. Precise matching of the repairing material and the physiological anatomical structure and the dynamic physiological function of the patient is achieved.

The invention discloses a sectional type wind power blade manufacturing method and system based on intelligent assembly control. The method comprises the steps of obtaining segmented component design data, and generating assembly path planning information based on a dynamic assembly optimization model; real-time monitoring is carried out through a multi-sensor fusion technology, and an intelligent assembly control instruction is generated; the assembly precision is verified in combination with a self-adaptive deformation compensation mechanism, and a blade assembly record is generated; and storing the record to a manufacturing data system and completing manufacturing. The deformation compensation mechanism optimizes pose deviation and interface stress based on finite element analysis and real-time data, and integrates gravity and temperature influence. The system comprises a data acquisition module, an instruction generation module, a precision verification module and a storage execution module. Millimeter-level precise butt joint and bonding quality control of the large-size blades are achieved, and the assembly efficiency and reliability are improved.

The invention relates to a braided structure optimization method of a glass fiber sleeve in the field of new material industry, which comprises the following steps: if improved structural design data does not reach a preset stress uniformity threshold, performing fine adjustment on fiber interaction parameters through an iterative optimization algorithm to obtain a new braided structure scheme, and determining the improvement effect of stress distribution; according to the new braided structure scheme, simulating mechanical performance under a high-strength requirement and a sudden external force impact scene, obtaining test data of tear resistance, and judging whether the test data meet a preset performance standard or not; according to the updated mechanical property simulation result, fatigue life prediction data of the material in a complex stress environment is obtained by combining a fatigue damage evaluation model with long-term service life, and whether the requirement for durability improvement is met or not is judged.

The invention relates to the technical field of multi-cylinder synchronous control, in particular to an electro-hydraulic-mechanical dual-redundancy high-precision execution method and system for multi-cylinder synchronous control. The method comprises the following steps: acquiring design data of the multi-cylinder hydraulic jacking equipment, and constructing a multi-cylinder operation simulation model based on a geometric structure and the design data; estimating the dynamic load overrun condition of the gate, detecting the distortion increase condition of the gate structure, and monitoring the increase trend of the gate to overcome the resistance; the multi-cylinder operation simulation model is analyzed according to the gate overcome resistance increasing condition, the local cylinder mechanical degradation increasing trend is determined, and hydraulic oil flow control distortion data is detected according to the local cylinder mechanical degradation increasing trend; detecting multi-cylinder operation stroke deviation according to local cylinder body mechanical degradation and hydraulic oil flow distortion conditions, identifying a multi-cylinder synchronization abnormal trend, and performing optimization processing to obtain multi-cylinder synchronization optimization data; through multi-cylinder synchronous control, multi-cylinder synchronous control is more efficient.

The embodiment of the invention discloses a river-crossing bridge safety management method and device based on multi-source data, and relates to the technical field of bridge construction safety management, and the method comprises the steps: obtaining bridge construction design data to construct a bridge BIM model and a construction finite element model, and constructing a dynamic digital twinborn body in combination with a safety risk knowledge graph; performing real-time deduction calculation by using the construction finite element model to realize graded early warning pushing; and identifying the ship target according to the video stream data by using the lightweight ship target detection model, predicting the navigation trajectory of the ship target, and performing collision risk prediction. A dynamic digital twinborn body fusing a BIM model, a finite element model and a risk knowledge graph is constructed, and deduction calculation is performed by using real-time data of each physical component, so that safety risk grading early warning is realized. And collision risk early warning is carried out on a ship target in a bridge water area through video analysis in combination with a lightweight ship target identification model. Existing hardware resources can be effectively utilized to reduce the cost, and collision risks are accurately warned in real time.

The invention discloses a three-dimensional visualization method, system and device based on heterogeneous spatial data fusion and dynamic sectioning, and a medium, belongs to the technical field of urban information model visualization, and aims to solve the technical problem of how to improve data fusion efficiency, sectioning response delay and mobile terminal frame rate in a million patch scene. Light-weight and high-interaction visual display of scenes such as smart cities and underground pipe galleries is realized, and the defects of multi-source spatial data splitting, high sectioning interaction delay and poor cross-terminal compatibility are overcome. According to the technical scheme, heterogeneous data dynamic normalization is carried out, wherein local coordinates of a building information model, WGS84 coordinates of a geographic information system and computer aided design data are unified to an Euclidean coordinate system through a space dynamic reference conversion algorithm, and normalized data are obtained; constructing a semantic data relation graph; generating a dynamic sectioning plane in real time; vector elements are highlighted in a linkage manner; and carrying out cross-terminal adaptive rendering.

The invention relates to an ink-jet printing parameter determination method and device for the surface of a three-dimensional object and computer equipment. The method comprises the following steps: performing fusion processing on three-dimensional scanning data, surface state data and pattern design data of an ink-jet printing task to obtain workpiece basic data and target appearance field data; according to the workpiece basic data and the target appearance field data, internal reference path collaborative modeling is carried out on printing parameters of the ink-jet printing task, and a curved surface process operator is obtained; according to the curved surface process operator, microphysical simulation analysis is carried out on the jetting physical process of the ink droplets, and a microfilming response field is obtained; and according to the curved surface process operator and the micronizable film-forming response field, performing micronizable optical mapping inversion analysis on the appearance response of the ink-jet printing task to obtain a printing parameter instruction set. By adopting the method, the batch consistency and the yield can be effectively improved to meet the production requirements.

The invention relates to an automatic verification method and system for a power distribution station project file, and the method comprises the following steps: deep analysis of multi-modal information: receiving design assets of a power project of a power distribution station, carrying out the multi-modal structured analysis, and generating structured design data; performing rigidity specification verification: inputting the structured design data into a rule engine, executing rigidity specification verification in combination with rule terms, and outputting a first type of verification result; prediction-reasoning evaluation: performing risk prediction and optimization reasoning on the structured design assets based on a large language model to obtain a second type of evaluation result; and intelligent report generation: fusing the first type of verification result and the second type of evaluation result, and automatically generating a visual review report. Compared with the prior art, the system has the advantages of intelligent examination and the like.

The present disclosure presents systems and methods for automated determination of development code performance. One such method, among others, comprises storing, by a computing device, land development design data in a building information model (BIM) file or a Computer Aided Design (CAD) file, wherein the BIM or the CAD file comprises a permit application file having a design for the land development project; checking, by the computing device, the permit application file for code compliance with computable files defining land development codes; generating, by the computing device, an output report indicating whether the permit application file has passed a check for the code compliance; and transmitting, by the computing device, the output report to a client device of an applicant associated with the permit application file.

The invention provides a nuclear fuel assembly grabbing positioning and deviation correction method and system based on industrial vision. The method comprises the steps of obtaining multi-view image data of a target nuclear fuel assembly and structured light deformation image data under a corresponding view; extracting an outer contour boundary of the target nuclear fuel assembly in a three-dimensional space based on the multi-view image data and the structured light deformation image data to obtain initial outer contour boundary data; performing pose positioning based on the initial outer contour boundary data in combination with original design data of the target nuclear fuel assembly to obtain a current pose parameter of the target nuclear fuel assembly in a three-dimensional space; performing deviation analysis based on the current pose parameter in combination with a preset standard pose parameter to obtain current deviation data and a corresponding deviation analysis result; and if the deviation analysis result is correctable deviation, performing instruction generation based on the current deviation data to obtain a pose correction instruction. The problem that the correction effect is poor in an existing method is solved.

The embodiment of the invention discloses a classroom optimization suggestion generation method and device, electronic equipment and a storage medium. Multimedia teaching data of a target classroom and teaching design data corresponding to the multimedia teaching data are acquired; according to the multimedia teaching data and the time information of the multimedia teaching data, performing teaching link segmentation on the multimedia teaching data to obtain a first link segmentation result; performing teaching link segmentation on the teaching design data to obtain a second link segmentation result; based on the first link segmentation result and the second link segmentation result, performing time sequence alignment on the multimedia teaching data and the teaching design data; and generating a classroom optimization suggestion for the target classroom based on the multimedia teaching data and the teaching design data after time sequence alignment. Therefore, targeted classroom optimization suggestions are generated for each teaching link of the classroom based on the time sequence aligned data, and the accuracy of optimizing the data is improved.