954 results about "Design data" patented technology

The invention relates to a building design scheme multi-objective optimization comparison and selection method and device, equipment and a medium. The method comprises the steps of generating a multi-dimensional design parameter set by obtaining building information model data and parameterized design data; performing multi-dimensional target analysis and evaluation by using a multi-field joint simulation platform to generate a multi-dimensional evaluation index; a dynamic multi-objective optimization model is constructed through a dynamic weight adaptive algorithm in combination with project stage demands and user interaction data; carrying out iterative optimization by adopting an improved non-dominated sorting genetic algorithm to obtain an optimized design scheme gene sequence result, and introducing a spatial topology connectivity constraint to generate a Pareto optimal solution set; and according to the Pareto optimal solution set, generating an optimization scheme through user weight adjustment and scheme screening. According to the method, the optimal design scheme set meeting the project requirements can be quickly and efficiently generated and screened out, the project stage requirements and user preferences are met, and the design efficiency and the scheme quality are improved.

The invention discloses a multi-modal knowledge-based automotive body innovative design system, which comprises a multi-modal data fusion module, a multi-modal data fusion module, a multi-modal data fusion module, a multi-modal data fusion module and a multi-modal data fusion module, wherein the multi-modal data fusion module is used for receiving text data, picture data, a three-dimensional CAD (Computer Aided Design) model file and an engineering symbol expression from an automotive body design process and is used for carrying out feature extraction and semantic alignment on input data of four modals; generating a unified semantic vector representation; the cross-modal knowledge mining and graph construction module is used for extracting multi-level entities and relationships from the unified semantic vector and constructing a dynamically weighted multi-modal knowledge graph; the large-model-driven multi-hop collaborative reasoning module is used for analyzing the multi-modal design requirement of a user, carrying out multi-hop reasoning on a knowledge graph, and outputting design parameter recommendation and an interpretable reasoning chain. The method aims at breaking through the limitation of an existing design system in the aspects of multi-modal processing and shallow semantic understanding, and deep fusion and intelligent application of multi-source heterogeneous design data are achieved.

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 invention relates to the field of artificial intelligence, in particular to an intelligent standard knowledge retrieval system based on an AI large model, which comprises a standard knowledge management database, a multi-source acquisition preprocessing module, a semantic understanding and indexing module, an intelligent retrieval engine module, a knowledge enhancement module, a user interaction feedback module, a security control module and a deployment expansion module. The standard knowledge management database is used for storing standard knowledge design data, real-time retrieval data and feedback data and constructing a dynamically updated standard knowledge resource pool; through the multi-source standard knowledge acquisition and preprocessing module, multi-channel objective standard data can be integrated and dynamically updated, and the problem of knowledge fragmentation is solved; and through the semantic understanding and indexing module, industry professional semantic accurate matching is realized, the limitation of traditional keyword retrieval is broken through, and the accuracy and efficiency of standard knowledge retrieval are remarkably improved.

The invention relates to the technical field of data processing, in particular to a product package online design display method and system. The method comprises the following steps of obtaining packaging target product data and determining the outer contour of a product, reconstructing a simulation to-be-packaged product frame, obtaining a packaging leakproofness requirement and estimating a packaging use scene, generating packaging process constraint data, analyzing entity packaging constraints, and fusing the packaging constraint data to support packaging process simulation. The method comprises the following steps: generating simulated product packaging data, constructing a packaging demand reverse environment field according to a leakproofness demand, carrying out leakproofness re-measurement on the simulated product packaging data, generating packaging design leakproofness data, carrying out packaging backtracking optimization through the data, finally obtaining qualified product packaging design data, and carrying out online visual display. According to the invention, efficient and intelligent product package online design and display are realized.

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 dynamic hydrodynamic modeling and parameter intelligent identification method for sailing of a trailing suction dredger, and relates to the technical field of sailing of trailing suction dredgers. According to the hydrodynamic modeling and parameter intelligent identification method for the sailing dynamic state of the trailing suction hopper dredger, core data covering an operation manual, historical cases, ship design data and all-working-condition sailing data are systematically obtained, so that a comprehensive basis is provided for modeling; an MMG reference model parameter set is constructed in combination with a hydrostatic calculation book, all working condition data are fused to obtain an environment adaptive fusion model, model deviation is corrected through parameter compensation, real-time data are processed at high frequency and the model is dynamically optimized by means of an edge calculation unit, and a sliding window can be adjusted according to error feedback to accelerate convergence. It is ensured that the final model prediction error is smaller than a threshold value, reliable kinematics support is provided for intelligent operation such as ship autonomous collision avoidance and trajectory tracking, and dredging operation safety risks and energy losses are effectively reduced.

The invention discloses a business filling scene data acquisition method and system, a storage medium and electronic equipment, and the method comprises the steps: firstly storing filling historical data and domain knowledge into a vector database, and according to the current input of a user, searching related information, and combining the current input to generate a filling suggestion through a generation type large model; multi-modal information of the multi-end filling system is obtained, semantic understanding and information extraction are completed through a large model, and the multi-modal information is converted into structured data; mapping the structured data to a specified field by means of a field mapping rule; a data verification rule is designed, data verification is corrected through a rule engine or large model dynamic logic verification, and a verification result and a prompt suggestion are output; and finally, storing the processed and verified data, and providing data support for the user. According to the invention, the data acquisition efficiency is improved; the intention of the user can be predicted, corresponding suggestions can be provided, and the legality and accuracy of data are ensured.

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 belongs to the technical field of semiconductor design automation, and provides a standard cell physical layout generation method and related equipment. The method comprises the steps of obtaining design data of a standard unit to be designed and multi-patterning process constraint parameters under a target process; according to the design data and the multi-patterning process constraint parameters, a transistor in a to-be-designed standard cell is arranged, in the arrangement process, folding and / or source-drain sharing are / is dynamically carried out on the transistor in the to-be-designed standard cell, and the feasibility of a gate cutting process and a contact through hole cutting process is synchronously detected; and after the layout of the transistors in the standard unit to be designed is completed, wiring is carried out on the standard unit to be designed by adopting a multi-network synchronous optimization strategy so as to generate a standard unit physical layout, and in the wiring process, sign-off data is fused so as to optimize wiring. Through the technical scheme provided by the invention, the generation efficiency of the standard cell physical layout can be improved.

The invention relates to the technical field of vibration noise optimization, in particular to a vibration noise optimization method and system of an electric drive assembly. The method comprises the following steps of collecting multi-working-condition vibration noise of a transmission motor in an electric drive assembly and performing frequency domain conversion to generate vibration noise frequency domain data; on the basis of the data, carrying out gear meshing stress unbalance loading limit calculation, carrying out tooth surface pitting corrosion cycle ductility simulation, and identifying a bearing clearance expansion increment; optimizing the bearing structure according to the bearing clearance expansion incremental data to obtain bearing structure optimization data; performing tooth direction drum shape modification analysis according to the tooth surface pitting corrosion data to obtain modification data; and finally, carrying out anti-vibration strengthening design by combining bearing optimization and tooth direction modification data, generating structural anti-vibration strengthening design data, and sending the structural anti-vibration strengthening design data to a terminal so as to execute structural optimization and reduce the influence of vibration noise. According to the method, the vibration noise optimization technology is optimized, so that the vibration noise optimization technology is more perfect.

The invention discloses an airport high-fill soil rainfall seepage field analysis method and system. The method comprises the steps that first-level slope sections on the two sides of a branch ditch in a high-fill area are selected, and simplification assumption is conducted on an engineering structure of the first-level slope sections in combination with foundation investigation and design data; functional partition is carried out on the research area, and structured grid division is carried out on each functional partition through simulation software; based on an unsaturated soil water flow theory, selecting a mathematical model for describing a relationship between a soil water characteristic curve and a permeability coefficient, inputting physical and mechanical parameters of a filled soil body, setting boundary conditions of a seepage model, and completing construction of the seepage model; designing at least two typical rainfall working conditions; carrying out saturated-unsaturated seepage simulation, and recording dynamic change data of pore water pressure and a transient saturation region under different working conditions; and carrying out multi-dimensional quantitative analysis on a simulation result, and summarizing an association rule of rainfall parameters and a seepage field. And safe operation of airport engineering is ensured.

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 relates to the technical field of data processing, in particular to a construction progress and resource collaborative prediction data processing method and related products, and the method comprises the steps: constructing a BIM knowledge graph; monitoring the real-time dynamic data in real time, and generating a multi-dimensional risk prediction vector if a risk event deviating from a construction plan is recognized; constructing a multi-objective optimization model, and solving to generate a collaborative optimization strategy; executing a collaborative optimization strategy, updating the construction progress plan and the resource allocation plan, and synchronously updating the BIM knowledge graph; according to the method, the BIM knowledge graph fused with the multi-source heterogeneous data is constructed, the information barrier between traditional BIM design data and field execution data is broken through, and the future time and cost deviation is predicted in a quantitative mode by performing linkage influence propagation simulation on risk events, so that the risk events are predicted more accurately. Project management is converted from a traditional'post remedy 'mode to a'pre-control' mode.

A system (100) for context-aware timing ECO generation using hierarchical and flat design mapping, comprising: a design data acquisition module configured to import hierarchical and flat design data including netlists, timing reports, physical layouts, and design constraints; a contextual timing analysis module configured to detect timing violations in both hierarchical and flat design contexts; a hierarchical-flat mapping engine configured to establish bidirectional correspondence between hierarchical and flat representations of the design; an ECO opportunity identification module configured to identify optimal modification points based on timing improvement potential and minimal design disturbances; an ECO generation and optimization module configured to create optimized ECO scripts taking into account timing, power, and area constraints; a verification and validation module configured to confirm functional equivalence, compliance with design rules, and timing completion; and an ECO implementation and reporting module configured to integrate the validated ECO into the main design database and generate traceable change reports; where the system operates to generate context-aware ECOs that maintain design consistency in both hierarchical and flat design views.

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 relates to the technical field of landscape design, and provides a landscape design data processing method based on artificial intelligence, which comprises the steps of multi-source heterogeneous data acquisition and fusion, knowledge graph driven design constraint extraction, dynamic demand perception and weight distribution, generative adversarial design of a coupling physical model, multi-objective optimization and scheme decision. And virtual-real fusion scheme verification can be carried out. The method comprises the following steps of: constructing a multi-modal data set by acquiring geographic information, real-time environment monitoring and other data, identifying constraint generation boundary conditions by using a knowledge graph, analyzing requirements and adjusting weights by using natural language processing and a reinforcement learning model, inputting constraint conditions and weight parameters into a generative adversarial network to generate a candidate scheme set, and constructing a multi-modal data set; and adopting a Pareto frontier algorithm to optimize and output an optimal solution set, and finally importing the optimal solution set into an augmented reality terminal for verification and adjustment. According to the method, landscape design data can be efficiently processed, a scheme meeting multi-aspect requirements is generated, and the design quality and efficiency are improved.

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 relates to the technical field of building construction, in particular to a prefabricated building construction progress automatic monitoring method. The method comprises the following steps: obtaining a building construction design drawing; based on the building construction design, prefabricated building component design data is extracted; building a building construction three-dimensional model based on the prefabricated building component design data; building component transportation simulation is conducted according to the building construction three-dimensional model, and building component transportation data are obtained; identifying a component cracking degree based on the building component transportation data; performing connection failure analysis based on the component cracking degree to obtain component connection failure data; predicting a reinforcement corrosion risk based on the component connection failure data; evaluating assembly durability based on the reinforcement corrosion risk; and extracting hoisting design data of the building construction design drawing. Based on the building construction technology, the efficiency and accuracy of prefabricated building construction progress monitoring are improved, and the accuracy of construction plan execution and the resource scheduling efficiency are improved.

The invention provides a design method based on a BIM model, and relates to the technical field of building design. The method comprises the following steps: constructing a component library of a BIM model, wherein the component library is used for determining that each component used in the BIM model meets a target construction standard; determining a drawing standard and a deepening direction of the building project based on the target construction standard; building a BIM model of the construction project based on the component library, and performing deepening processing on nodes in the BIM model based on the deepening direction, and obtaining a target BIM model under the condition that the deepening processing is completed; and receiving attribute information of a drawn drawing, and generating a construction drawing conforming to the drawing output standard based on the target BIM model. According to the method, the technical concept of forward drawing output can be achieved, the homology and consistency of design data are kept, and therefore the accuracy of produced design drawings can be 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 application discloses a kind of bridge tower segment attitude intelligent prediction method and system based on multi-point cooperative positioning, method includes: S100, in the two adjacent sides of the segment that has been installed, select multiple observation points, using laser reflector obtains the space coordinates of observation point, using multiple total station instruments cooperates measurement;S200, based on rigid body transformation mathematical model, the attitude change prediction of segment to be installed, using rotation matrix and translation vector calculates the optimal attitude of segment to be installed, too much point redundant information optimizes attitude estimation, controls cumulative error;S300, BIM modeling is carried out to bridge tower structure, and high-precision three-dimensional rendering is carried out, complex monitoring data is converted into intuitive graphical interface, and segment state is shown in real time;S400, according to data comparison, combined with error analysis, if the error is larger than design data, then corresponding adjustment is carried out;S500, repeat the above steps, until all bridge tower segments are accurately positioned and installed. The precision and construction efficiency of bridge tower segment erection are improved.

The invention discloses an intelligent guiding method based on a 3D virtual garment customization process, and relates to the technical field of garment customization, and the method comprises the steps: obtaining the basic information of a user through a user interaction interface, and generating a 3D virtual human body model matched with the body type of the user through 3D scanning equipment; performing intelligent matching through a machine learning algorithm according to the basic information of the user and the style information in the costume design database, and displaying a matching recommendation result on a user interface in a visual form for the user to select and preview; dynamically adapting the 3D model of the clothes selected by the user to the 3D virtual human body model, and providing an intelligent adjustment option and an intelligent algorithm to generate an adjustment suggestion; according to the method and the device, fitting simulation, comfort evaluation and visual effect evaluation feedback are performed, user design is optimized, and a customization scheme containing a 3D model file and a production drawing is generated according to a design scheme finally confirmed by a user, so that the operation of a virtual garment customization process is simpler, the auxiliary decision-making experience degree is higher, and the customization efficiency is improved.

The invention relates to an air hole defect control method in a motor shell production process in the field of high-end equipment manufacturing, which comprises the following steps: acquiring pressure and temperature time sequence data in a die casting process aiming at an area with high solidification shrinkage influence weight, and determining an optimization range of parameter adjustment; iteratively optimizing pressure and temperature parameters through a genetic algorithm, generating dynamic parameter configuration for a hot spot region, and obtaining a process scheme for reducing gas residues; if the porosity is lower than a preset target value, a micro-channel structure is added to a mold hot spot area through an additive manufacturing technology, and improved mold design data are obtained; heat flow distribution characteristics are extracted from the improved mold design data, a finite difference method is adopted to simulate the mold cooling process, and the pore elimination effect is determined; and according to the air hole eliminating effect, a final die-casting process parameter and a die design scheme are generated, and production configuration suitable for the thin-wall aluminum alloy motor shell is output.

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.

The invention discloses a safety evacuation compliance verification method, device and equipment and a storage medium, and the method comprises the steps: building a station BIM three-dimensional information model based on integrated multi-specialty design data, and the multi-specialty design data comprises design data of buildings, structures and equipment; and intelligently comparing the spatial layout information in the BIM model with a preset specialty standard database and a safety evacuation standard database to verify whether a safety evacuation scheme coordinated by each specialty accords with a standard index or not. According to the invention, intelligent verification of subway station safety evacuation design is realized, the examination efficiency of the design scheme is obviously improved, the design period is shortened, the manual examination cost is reduced, and reliable technical guarantee is provided for subway fire safety.

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.