1366 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 relates to the technical field of digital quality management, in particular to a light-weight glass bottle quality digital traceability method and system. The method comprises the following steps: acquiring glass bottle design data, and constructing a lightweight glass bottle model; detecting the structural strength of the bottle body based on the lightweight glass bottle model; carrying out bottle body surface defect detection based on the bottle body structural strength to generate bottle body surface defect data; performing defect tracing based on the bottle body surface defect data to obtain bottle body production defect process data; carrying out wall thickness non-uniformity anomaly detection based on the structural strength of the bottle body to obtain wall thickness non-uniformity data; the alignment offset of the mold core and the mold cavity is evaluated based on the wall thickness non-uniformity data; and carrying out positioning pin fracture detection according to the alignment offset of the mold core and the mold cavity to obtain positioning pin fracture data. The glass bottle production process is optimized based on the digital quality management technology, and the quality recognition rate, the abnormal response speed and the production process transparency are effectively improved.

The invention provides a while-drilling formation pressure early warning method and device based on model prediction, equipment and a medium, and relates to the technical field of low-carbon mining, and the method comprises the steps: in a pre-drilling stage, based on seismic data, adjacent well historical data and design data, analyzing and generating prediction risk data of a target monitoring well; in the drilling process, actual formation pressure data are calculated in real time by using drilling data collected for a target monitoring well in real time, and the actual formation pressure data are compared with the predicted risk data; in the drilling stage, a pressure safety window is depicted based on the predicted risk data, the cycle equivalent density of the target monitoring well calculated in real time is compared with the safety window, and the drilling safety risk is recognized and analyzed; and after drilling is finished, summarizing the predicted risk data, the actual formation pressure data and the drilling safety risk, and updating and iterating the model algorithm through the summarized data. The method has the effect of improving the accuracy of formation pressure early warning while drilling in the petroleum drilling process.

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 relates to the technical field of underground power tunnel design data processing, in particular to an automatic reinforcement design method based on an instantiation reference algorithm, which comprises the following steps: constructing a multi-level parameterized model, orthogonally classifying structure types and shapes, and associating geometric features, mechanical attributes and reinforcement rules for each type of structure to form a structured database. A geometric boundary of the special-shaped structure is defined by adopting a B spline curve or an NURBS curved surface, and dynamic association with a reinforcement rule base is achieved through a topological relation mapping module. The instantiation reference algorithm calls a reinforcement template library according to load conditions, and optimizes the diameter, spacing and reinforcement ratio of reinforcements in combination with an elastic mechanics principle to generate an initial scheme. And generating a standard drawing and a synchronous statistical table through a CAD conversion model. According to the method, diversified special-shaped structure reinforcement design is supported, and a whole-process closed loop of parametric modeling, dynamic rule expansion and construction data delivery is realized.

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 present invention provides a method for producing a dental restoration for preferably at least a part of at least one tooth. The method comprises the step of obtaining design data, wherein the design data includes acquired data and preliminary design data of the dental restoration. The method further comprises the step of modifying the preliminary design data before at least one manufacturing step to obtain modified design data and producing the dental restoration based on the modified design data.

The invention relates to the technical field of mechanical engineering, in particular to a three-dimensional simulation design method and system based on an elevator structure. The method comprises the following steps that an elevator structure drawing is obtained; a three-dimensional elevator assembly is constructed according to the elevator structure drawing; lift car static load simulation is conducted according to the three-dimensional elevator assembly, and lift car static load data are obtained; detecting the structural strength of the lift car based on the lift car static load data; evaluating welding defects based on the structural strength of the lift car, and generating welding defect data; identifying a weld weak area according to the welding defect data; determining the abrasion loss of the car structure based on the weld weak area; according to the lift car structure abrasion loss, the lift car bottom plate fracture risk is predicted; carrying out welding optimization design based on the fracture risk of the bottom plate of the lift car to obtain welding optimization design data; and traction and traction simulation is conducted according to the three-dimensional elevator assembly, and traction and traction data are obtained. Based on the mechanical engineering technology, the safety and stability of the elevator structure are improved, and the design precision and efficiency are remarkably improved.

The invention relates to the technical field of quality inspection, in particular to a complex steel structure construction quality detection method and system based on three-dimensional laser scanning, and the method comprises the steps: obtaining three-dimensional laser scanning data and corresponding design data of a steel member in a machining quality detection stage, a virtual pre-assembly stage and an on-site actual assembly stage of the steel member; preprocessing the obtained three-dimensional laser scanning data to obtain point cloud data corresponding to a real object, constructing the obtained design data into a BIM model and converting the BIM model into point cloud data corresponding to the model, carrying out point cloud registration on the two parts of data through a registration algorithm, obtaining an error between the two parts of data through comparison, and obtaining the point cloud data of the real object according to the obtained error information. And determining the actual quality of the steel member.

The invention discloses an underground pipe network construction drawing generation and verification method and system based on image recognition, relates to the technical field of construction drawing verification analysis, and solves the technical problem that in the verification process, detection of pipe network element integrity and space conflicts is not comprehensive and efficient enough. According to the method, extracted pipe network element data is compared with original design data element by element, verification is carried out from element types, number, attributes and other dimensions, whether a construction drawing is complete or not can be rapidly and accurately judged, missing or wrong elements can be found in time, and a minimum rectangular bounding box and a three-dimensional projection overlapping judgment algorithm are utilized to judge whether the construction drawing is complete or not. According to the method, the space conflicts among the pipe network elements can be efficiently detected, the conflict detection efficiency and accuracy are improved, the overlapped elements are classified according to the elastic modulus of the element material, the hard and non-hard overlapped elements are subjected to targeted analysis, whether design conflicts exist or not can be judged, and a more scientific basis is provided for design optimization.

The invention discloses a robot operation object positioning method and system, and relates to the image processing related technical field, and the method comprises the steps: building a three-dimensional point cloud data set based on laser scanning and design data, and enabling the three-dimensional point cloud data set to be marked with key features; activating a positioning camera of the robot, executing operation scene image acquisition, and establishing a scene image; carrying out contour matching identification on the RGB image according to the workpiece features, establishing a matching identification result, and calling a mapping depth image; executing search matching of the key features, and establishing a search matching result; local point cloud region fusion matching is executed, and a spatial registration result is established; and resolving attitude parameters of the target workpiece in the three-dimensional point cloud data set, and completing positioning based on a resolving result. The technical problems of poor adaptability and insufficient positioning precision of robot operation object positioning in a complex environment in the prior art are solved, and the technical effects of realizing high-precision positioning of the operation object and improving the positioning real-time performance and reliability are achieved.

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 transformer simulation, in particular to a simulation system and method for a temperature rise field of a dry-type transformer. The method comprises the following steps: acquiring geometric parameters of an iron core lamination of the dry-type transformer to be simulated, spatial arrangement information of a winding and a positioning relation of an insulating component to form structural design data; the method comprises the following steps: constructing three-dimensional geometric modeling data based on structural design data, importing the three-dimensional geometric modeling data into a finite element electromagnetic simulation platform, setting a power-on condition of an excitation winding, and applying rated current or voltage, so as to obtain local magnetic flux density distribution data at each iron core lamination position in a whole operation period. According to the method, on the basis of three-dimensional structure data, three physical processes of an electromagnetic field, a thermal field and a fluid field are fused, a high-precision local heat source model and a dynamic temperature rise prediction model are constructed, and geometry-material-boundary all-parameter modeling is achieved from the whole structure of an iron core lamination, a winding and an insulation assembly.

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 invention provides a helicopter flight parameter prediction method, system and device and a storage medium, and belongs to the field of helicopter performance prediction.The method comprises the steps that a helicopter and engine integrated performance model set is established; acquiring historical data including flight parameters of a helicopter, operation parameters of an engine and environmental parameters under different flight conditions and states; fitting undetermined coefficients of the helicopter and engine integrated performance model group by combining historical data with specific design data of a helicopter and an engine to obtain model coefficients conforming to specific helicopter and engine models; representing a to-be-predicted flight mission as a flight mission profile containing input parameters, substituting the input parameters of the flight mission profile into the helicopter and engine integrated performance model group with the determined coefficients, and solving the model to obtain predicted flight parameters. According to the method, reliable prediction of flight parameters of the helicopter in different flight environments can be realized, and a basis is provided for engine design, modification and use optimization.

The invention relates to the technical field of cable aging diagnosis, in particular to a cable aging diagnosis monitoring method and system. The method comprises the following steps: acquiring cable operation log data and cable internal structure design data, extracting a cable structure distribution condition in combination with an operation log, and evaluating cable operation state data; electric power sudden demand characteristics are identified, and then a non-uniform thermal coupling unbalance state is determined; based on the thermal coupling unbalance and the operation state data, detecting the coupling failure condition of the cable multilayer structure, and further judging the structural integrity damage condition; deducing a load stability disintegration situation according to a structure damage and insulation strength reduction trend; further detecting the decline of the quality of transmitted electric energy, analyzing the increase degree of abnormal voltage fluctuation, and identifying the fatigue trend of the metal material of the cable; through the above cable aging diagnosis, the cable aging diagnosis data is output. According to the cable aging diagnosis method and device, cable aging diagnosis is diagnosed, so that cable aging diagnosis is more accurate and efficient.

The invention relates to the technical field of green low carbon and the technical field of structural design, and discloses a design method and device of a prefabricated composite wall, electronic equipment and a storage medium, and the method comprises the following steps: obtaining mechanical data, construction data and cost data of the prefabricated composite wall; according to the mechanical data and a preset mechanical evaluation model, the flexural capacity of the prefabricated composite wall is generated; according to the construction data and a preset carbon emission evaluation model, the total carbon emission amount of the prefabricated composite wall is generated; according to the cost data and a preset cost evaluation model, the total cost of the prefabricated composite wall is generated; and when the flexural capacity of the prefabricated laminated wall is greater than the flexural capacity demand value, generating a collaborative efficiency coefficient of the design data of the prefabricated laminated wall according to the flexural capacity of the prefabricated laminated wall, the total cost of the prefabricated laminated wall, the total carbon emission amount of the prefabricated laminated wall and a preset collaborative efficiency model. According to the method, the collaborative effect of the prefabricated laminated wall design data can be quantified.

The present invention discloses a method for predicting the static behavior of a bridge based on dynamic loading, comprising the following steps: establishing a full-bridge structural analysis model according to the design data of the existing bridge; conducting dynamic loading tests on the existing bridge to obtain the bridge dynamic response values; performing sensitivity analysis on each design parameter in the initial structural analysis model to obtain and determine the key design parameters to be corrected that affect the bridge structure; based on the uniform design sampling method, using machine learning intelligent algorithms, constructing training samples of the key design parameters to be corrected and establishing a surrogate prediction model; correcting the initial structural analysis model using the prediction results of machine learning and intelligent algorithms; predicting the static behavior of the bridge based on the corrected structural analysis model; introducing an error analysis method to evaluate the prediction results of the bridge static force. The beneficial effects of the present invention are: reducing the cost of the bridge static load test, reducing the damage to the bridge's own structure, and having high prediction result accuracy.

The invention discloses a generation method of a generative adversarial network for planning a resource design stylized layout, and belongs to the technical field of artificial intelligence and machine learning, and the method comprises the following steps: S1, multi-source data collection: widely collecting a large number of existing planning resource samples; s2, data classification labeling; s3, constructing a generative adversarial network model; s4, performing model training; s5, style migration training; s6, optimizing the model; s7, generating a planning resource scheme; s8, optimizing the scheme; and S9, performing feedback iteration. According to the method, through integrating a technical path of multi-source design data acquisition, deep style feature extraction and generative adversarial network collaborative optimization, full-process automation from user demand input to high-quality planning resource layout generation is realized, and user personalized demands are met through a multi-scheme candidate and interactive adjustment function; and finally, constructing an incremental learning closed loop based on user feedback data, and continuously updating model parameters to adapt to an emerging design trend and an industry specification.

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.

A system and a method for generating an optimized power converter design based on one or more multimodal large language models (MLLMs) are disclosed. The system obtains structured design data, one or more user queries, one or more design parameters, and real-time power converter design data. The system performs a similarity matching between one or more embeddings associated with the structured design data, and the one or more user queries and the one or more design parameters to compute an utmost similarity score. The system retrieves one or more similar document chunks. The system processes the one or more user queries and the one or more design parameters to extract one or more parameters. The system determines one or more design workflows based on the one or more parameters. The system executes at least one design workflow. The system visualizes design outcomes, simulation results, and prediction results to a user.

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 well submersible pump hydraulic design data modeling method, which comprises five steps of sensing acquisition, hydraulic data enhancement, hydraulic performance prediction, intelligent material matching and modeling output, relates to the technical field of pump hydraulic modeling analysis, and particularly relates to a well submersible pump hydraulic design data modeling method and system. A physical information confrontation generative network is combined with a space-time Kriging interpolation algorithm to enhance three-dimensional flow field data; a multi-modal graph neural network fusing physical control loss is constructed, and dynamic prediction of performance indexes such as pump body efficiency, lift and net positive suction head is achieved; based on a corrosion-wear coupling model and a reinforcement learning algorithm, the service life, the cost and the machinability of candidate materials are evaluated, an optimal combination is intelligently recommended, and systematic support is provided for design of an efficient, low-cost and long-service-life submersible pump for a well.

The invention discloses an edentulous jaw dental implant positioning method combined with depth variation reasoning. The method comprises the following steps: S1, generating optimized medical image data; s2, generating a jaw bone three-dimensional reconstruction model of the edentulous jaw patient; s3, generating anatomical feature data; s4, generating a preliminary implant positioning scheme; s5, generating a local bone reconstruction simulation result; s6, performing dynamic interaction on a local bone reconstruction simulation result and the preliminary implant positioning scheme, optimizing the preliminary implant positioning scheme through a depth variation inference model, and generating an implant optimized positioning scheme including mechanical stability and biomechanical performance evaluation; and S7, based on the implant optimization positioning scheme, generating implant guide plate design data and surgical navigation data in combination with the jaw bone three-dimensional reconstruction model of the patient. According to the method, the final implant positioning point obtains a globally optimal solution in the aspects of long-term stability and biological adaptability.

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 discloses an intelligent analysis and optimization method and system for the cross section of a stamped metal pipeline, and relates to the technical field of machining, and the method comprises the steps: obtaining a die design data flow and a stamping process data flow of a target stamped metal pipeline through a stamped metal pipeline production system, and obtaining a cross section machining data flow through a sensor; and performing finite element analysis on the basis of the plurality of data streams to generate a finite element model of the stamping metal pipeline. And obtaining application scene information of the target stamping metal pipeline, analyzing and determining pipeline stamping process simulation parameters, and performing section simulation analysis based on the finite element model to obtain a pipeline section quality analysis result. And adaptive adjustment is conducted on the stamping process simulation parameters based on the result, multiple pipeline stamping process parameters are obtained, feedback optimization is conducted, target pipeline stamping process parameters are determined, and production machining is conducted on the target stamping metal pipeline based on the target pipeline stamping process parameters. Therefore, the technical effects of shortening the optimization period and reducing the optimization cost are achieved.

The invention relates to the technical field of quality tracing of cast-in-place piles, in particular to a quality tracing method and system for cast-in-place pile construction. The method comprises the following steps that geological information of an area where the cast-in-place pile is located is obtained by obtaining geographic position data of the cast-in-place pile and conducting geological condition detection; the terrain complexity of the area where the cast-in-place pile is located is estimated, the fracture probability is calculated according to the cast-in-place pile design data and the terrain complexity data, and the stability of the pile foundation is evaluated; the method comprises the following steps: analyzing fracture probability data, detecting attenuation of pile foundation bearing capacity, calculating the collapse probability of a cast-in-place pile, tracing the construction quality according to the collapse probability of the cast-in-place pile and terrain complexity data so as to track factors influencing the construction quality, and determining the construction quality of the cast-in-place pile by combining quality tracing data with design risk assessment data. And the design of the cast-in-place pile is optimized. According to the method, the design of the cast-in-place pile is optimized, so that the cast-in-place pile construction is safer and more perfect.

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 discloses a granary design method and device based on a three-dimensional model, equipment and a storage medium, and the design method comprises the steps: obtaining the original feature information of a target granary, carrying out the preprocessing of the original feature information, and obtaining the feature information after preprocessing; based on the preprocessed feature information, generating a three-dimensional model of the target granary by using a building information model technology; obtaining a target granary design model matched with the three-dimensional model from a pre-stored model database; performing a simulation test on the target granary design model to obtain a simulation test result at least including grain storage safety, full life cycle cost and extreme working condition adaptability; and judging the simulation test result according to a preset judgment standard. According to the method, multiple technologies are fused, granary design data are accurately collected, three-dimensional modeling, simulation evaluation and scheme optimization are realized through intelligent algorithm processing, the grain storage safety can be greatly improved, the cost is reduced, and the design efficiency and quality are improved.