3544 results about "Design methods" patented technology

The invention is suitable for the technical field of industrial design, and provides a multi-agent cooperative industrial design method and system for complex engineering, and the method comprises the following steps: constructing a large model agent set for a complex engineering design task; dividing a design task into sub-tasks which can be executed by an intelligent agent based on a task decomposition algorithm of a knowledge graph and an intention recognition mechanism; a Prompt-to-Code enhancement model is constructed, and task planning targets and constraints of multiple agents are converted into CAD modeling or CAE simulation design instructions capable of being directly executed by an industrial design tool through Prompt embedding; constructing a design version evolution tree, and designing a causal reasoning graph structure based on the interactive influence of target features; and inputting an asynchronous task planning strategy, a design instruction and a version evolution tree feedback result into a large model agent for iterative adaptive optimization. And the design efficiency and the scheme quality of a complex engineering design task can be obviously improved.

The invention relates to the technical field of building design and digitization, and discloses an automatic design method for a special-shaped facing structure based on parametric modeling. The method comprises the following steps: firstly, acquiring a geometrical characteristic parameter set of the special-shaped facing structure, wherein the geometrical characteristic parameter set comprises curved surface curvature distribution, boundary constraint conditions and a material attribute threshold value; thirdly, according to the curved surface curvature distribution, generating an initial geometric topological grid by using a dynamic subdivision algorithm, adjusting node positions according to boundary constraint conditions to obtain an optimized structural framework, and performing layered mapping on material attribute thresholds to generate a material distribution map; then, the input parametric modeling engine generates a three-dimensional parametric model, finally, a self-adaptive adjustment strategy graph is constructed through a multi-objective optimization algorithm, and a final design scheme is output. By means of the method, automation of design of the special-shaped facing structure is achieved, design efficiency and accuracy are improved, material utilization is optimized, scheme adaptability is enhanced, and design process collaboration is improved.

The invention provides a hydraulic engineering three-dimensional design method, system and equipment and a storage medium, and relates to the field of three-dimensional design. The method comprises the steps of obtaining topographic data, hydrological data and engineering design requirements of an area where a project is located; performing feature extraction on the topographic data and the hydrological data to obtain key feature parameters; determining design constraint conditions according to engineering design requirements, and establishing a three-dimensional design optimization model based on the key feature parameters as design variables and the design constraint conditions; solving the three-dimensional design optimization model through a genetic algorithm to obtain a group of non-inferior solutions as a first candidate design scheme; optimizing the first candidate design scheme through a preset reinforcement learning model to obtain a second candidate design scheme; and performing simulation analysis based on the second candidate design scheme to obtain feedback information, and optimizing the second candidate design scheme based on the feedback information to obtain a target design scheme. Through the scheme, the hydraulic engineering design efficiency and the optimization degree of the design scheme are improved.

The invention discloses a thin-wall structure lightweight design method based on additive manufacturing, and belongs to the technical field of additive manufacturing, and the thin-wall structure lightweight design method comprises the following steps: S100, designing an initial structure based on function and performance mapping; s200, an additive manufacturing process knowledge base is constructed, and the adaptability of the additive manufacturing process is evaluated; s300, carrying out process and structure bidirectional coupling finite element analysis; s400, collaborative optimization of a process and a structure driven by a multi-objective optimization algorithm; s500, feature part manufacturing verification and design and process scheme iterative optimization are carried out; and S600, generating a design and process integrated scheme, wherein the integrated scheme comprises design parameters and manufacturing parameters. The technical problem that in the prior art, the structure optimization target and the manufacturing adaptive capacity are lack of collaboration can be solved.

The invention provides a whole-process engineering consultation management design method, which comprises the following steps of: constructing a unified data exchange standard and protocol, converting heterogeneous data output by design tools of different professions and different units into a standardized data format, realizing seamless joint and real-time sharing of data through data middleware, eliminating data barriers, and improving the data exchange efficiency. The collaborative design efficiency is improved; according to the method, digital technologies such as BIM are adopted, a digital twin model of an engineering project is constructed in a design stage, a design scheme is deepened through virtual construction simulation and optimization, factors such as a construction process, construction procedures and resource allocation are fully considered, and the construction feasibility and economic rationality of design are improved; a collaborative mechanism of a design stage and a construction stage is established, experienced construction managers and technicians are invited to participate in design review, improvement suggestions and suggestions are provided from the construction perspective for a design scheme, a designer is helped to comprehensively understand construction requirements, and the design scheme is optimized.

The invention relates to the technical field of structure optimization design, and particularly discloses a box-type beam structure lightweight design method based on topological optimization, which comprises the following steps: constructing a multi-physics field coupled three-dimensional parameterized model, and performing cross-scale analysis on integrated structure rigidity, thermal deformation, vibration mode and fatigue life to obtain a three-dimensional parameterized model; a variable density method and level set method mixed topological optimization strategy is adopted, and an initial material distribution scheme meeting the structural function integrity is generated by modeling the relationship between density and stress strain; starting a quantum genetic algorithm and deep reinforcement learning fused intelligent optimization engine; according to the method, through the multi-physics field coupled three-dimensional parameterized model, a variable density method and level set method mixed topological optimization strategy is combined, the relation between the structural lightweight target and the additive manufacturing process is effectively balanced, multi-physics field analysis of thermal response, vibration, fatigue and the like is introduced, and the structural lightweight target is obtained. And it is guaranteed that the box-type beam meets the mechanical property and other functional requirements in actual application.

The invention belongs to the technical field of material structure optimization, and discloses an enhanced structure design method and system for a three-period minimal curved surface, and the method comprises the steps: modeling a geometric model of the three-period minimal curved surface, and exporting the model; expanding a design domain of the geometric model to obtain a corresponding expanded design space of the three-period minimal curved surface; a design space file is converted into an analysis data structure, a general expression mode is constructed for the three-period minimum curved surface, an equal geometric element stiffness matrix is solved by using a Gaussian integral method and the elastic performance of each point in a design domain and assembled into a global stiffness matrix, and the structural response of the model is solved; constructing a local density distribution function in the Bayesian unit, and assembling all LDDFs to obtain a global density distribution function for presenting structural topology; and constructing a stiffness maximization topological optimization mathematical model for the TPMS, calculating an objective function and analyzing sensitivity, and carrying out iterative updating on design variables in the optimization model based on an optimal criterion method to obtain a reinforced structure configuration.

The invention provides a transformer substation AI aided design method based on LLM and RAG, and the method comprises the steps: carrying out the demand analysis through a large language model LLM, and extracting key information; performing knowledge retrieval by using an RAG technology, wherein the knowledge retrieval comprises transformer substation aided design knowledge base construction, transformer substation aided design knowledge retrieval and knowledge reordering; according to the demand analysis and the knowledge retrieval result, the LLM is utilized to generate a preliminary design scheme of the transformer substation, and the design scheme comprises an electrical main wiring diagram, equipment type selection and layout. By adopting the combination of the LLM, RAG and AI aided design, the comprehensive improvement of the design efficiency, standardization and innovation of the transformer substation can be realized, and the problems of low efficiency, insufficient standardization and lack of innovation in the prior art are solved.

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 a spinel multi-objective reverse design method based on machine learning and a Bayesian optimization algorithm, electronic equipment and a storage medium, and the design method comprises the steps: firstly extracting related data of a spinel material from a database, and constructing a balanced data set through preprocessing; feature engineering is carried out, a comprehensive feature set is constructed, and key features are reserved; then training a multi-target prediction model through hyper-parameter optimization by using a multi-task gradient elevator model; and finally, integrating to a Bayesian reverse design framework, expanding a design space through a specific encoder, and combining a Gaussian process proxy function and an expected hyper-volume improvement criterion to screen candidate materials meeting conditions and verify performance, thereby completing reverse design optimization. Compared with the prior art, the intelligent and efficient spinel novel multi-target reverse design method can be used for solving the problem of data scarcity, and development of high-performance spinel solar cell materials is accelerated.

The invention relates to the technical field of aero-engines, and discloses an automatic design method for aero-engine turbine blades, which analyzes design requirements through a language large model, combines a retrieval enhancement technology and a turbine blade expert knowledge base, performs interdisciplinary coupling verification by utilizing a step-by-step reasoning template, and generates and optimizes part design schemes and parameters. And then calling parametric modeling and an AI simulation agent model to carry out multi-physics field prediction, comparing a result with a requirement, if the result meets the requirement, outputting design, otherwise, automatically iterating and adjusting parameters until the parameters reach the standard or reach the maximum number of iterations. According to the method, end-to-end intelligent closed-loop design from design requirements to design results can be realized, manual intervention is reduced, a design scheme meeting performance requirements can be quickly generated, the design efficiency can be improved, the design cost can be reduced, and the design quality can be improved.

The invention discloses a hydraulic engineering digital design method based on digital twinning, and relates to the technical field of hydraulic engineering design. According to the digital twin-based hydraulic engineering digital design method, design demand information of a to-be-designed diversion tunnel is obtained and input into a pre-trained building recognition model for comprehensive analysis, a spatial layout map of the to-be-designed diversion tunnel is obtained, and a tunnel design digital twin model is constructed; simulation data of the tunnel design digital twinborn model are obtained, simulation analysis is carried out respectively, a tunnel construction risk index and a hydraulic action risk comprehensive index of the tunnel design digital twinborn model are obtained, comprehensive analysis is carried out, and a tunnel feasibility index of the tunnel design digital twinborn model is obtained; according to the method, the tunnel design digital twin model is subjected to design optimization based on the feasibility index, so that a lagging mode of re-evaluation after building is effectively avoided, later frequent reinforcement and reworking are prevented, and the engineering safety coefficient is improved.

The invention discloses a design method and system for a wind turbine blade, and belongs to the field of wind power generation. Adopting a Latin hypercube design method to generate initial sample points of a design scheme in a design space of the wind turbine blade model; according to the initial sample points, constructing a Kriging agent model; an improved multi-target mantis algorithm is adopted to carry out iterative solution on the Kriging proxy model, and a Pareto leading edge solution set is obtained; and selecting an optimal solution as a design scheme of the wind turbine blade from the Pareto leading edge solution set according to constraint conditions of the wind turbine blade. Aiming at low wind turbine blade design optimization efficiency in the prior art, a wind turbine blade mathematical optimization model is constructed, then a Kriging proxy model is constructed according to sampling points, hyper-parameters of the Kriging proxy model are optimized, and on this basis, an improved multi-target mantis optimization algorithm and a multi-dimensional point adding strategy are introduced to carry out adaptive updating optimization solution and the like on the proxy model. And the optimization efficiency is improved.

The invention discloses an optimization design method of a large-model-driven mechanical part, which comprises the following steps of: performing knowledge retrieval according to a design task and a constraint condition, and generating text description of a structure design scheme by fusing the retrieved knowledge through a large-scale language model (LLM); the LLM performs task decomposition and modeling code mapping on the structure design scheme described by the text, and generated modeling codes are directly executed by modeling software to generate a three-dimensional model; the LLM generates a reasoning track and calls a finite element analysis tool set to perform performance analysis on the generated three-dimensional model; and according to optimization requirements and design constraints, the LLM optimizes the three-dimensional model to generate an optimal three-dimensional model. The invention discloses an optimization design system of a large model driven mechanical part. The optimization design system comprises a design scheme generation module, a parametric modeling module, a design scheme verification module and a structure parameter optimization module. The method and the system provided by the invention can save code quantity, reduce manual intervention and improve design efficiency.

The invention discloses a building facade optimization method and system based on sustainable analysis, and relates to the technical field of data processing. According to the method, parametric modeling is carried out on the external facade of a target building, and a design space is defined; training a machine learning model integrating energy consumption, carbon emission, cost and lighting prediction functions by using historical data; building an optimization problem by taking external facade parameters as decision variables and taking minimization of energy consumption, carbon emission and cost and maximization of lighting as targets, and automatically generating an optimal scheme set by adopting a multi-target optimization algorithm; a decision maker is assisted to select a final scheme through a visual interface, and a corresponding BIM model is output; the method effectively solves the problems that a traditional design method is difficult to coordinate multi-target conflicts, depends on experience and is low in efficiency, and can automatically and intelligently generate an optimal design scheme which is energy-saving, low-carbon, low-cost and good in lighting performance.

The invention discloses a lightweight design method for a thin-wall structure containing a flow channel based on additive manufacturing, and belongs to the technical field of additive manufacturing, and the lightweight design method comprises the following steps: S100, analyzing functional requirements, and constructing a functional requirement model containing the flow channel; s200, a printing direction and additive manufacturing constraint conditions are set, topological optimization is executed on the function demand model, and a preliminary topological structure is obtained; s300, carrying out geometric reconstruction on a topological optimization result to obtain a three-dimensional model suitable for additive manufacturing; s400, carrying out parameter optimization design; s500, the section shape and size of the runner are optimized based on fluid performance requirements; and S600, additive manufacturing manufacturability inspection is conducted on the structure with the section shape and size optimized. And S700, the model obtained after additive manufacturing manufacturability optimization is analyzed and checked. The technical problems that in the prior art, the design requirement of a thin-wall structure containing a runner cannot be met, and the forming quality and the section shape of the inner surface of the runner are difficult to accurately control can be solved.

The invention discloses an inclined shaft formwork design method based on digital modeling and sliding mode optimization, and the method comprises the steps: drawing a complete three-dimensional digital model of an inclined shaft through employing a geographic information system and a building information model, obtaining the high-precision inclined shaft data through combining with the technologies of laser scanning, an unmanned aerial vehicle and the like, and guaranteeing the accuracy of the model; an included angle between a tangent line and a normal line of each segment is calculated through an inclined shaft curve equation, and a precise geometric basis is provided for optimization design of the formwork based on the divided pouring areas and bin division starting and ending points; the optimal scheme of sliding mode segmentation is calculated by adopting an optimization algorithm, the structural deformation of the template is emphatically optimized, and the rationality of the position, angle and transition part of each segment is ensured; finally, through the accurate three-dimensional inclined shaft model and optimal design, the overall construction formwork is constructed, the precision and stability of inclined shaft formwork design are improved, it is ensured that in the construction process, stress of the formwork is uniform, deformation is minimized, and the construction efficiency and safety are remarkably improved.

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 invention discloses an assembly type composite floor slab cast-in-place section span beam joint design method based on digital twinning, and relates to the technical field of intelligent construction, the method comprises the following steps: adopting a least square optimization algorithm to obtain a material performance correction parameter and a geometric compensation parameter; based on the historical material performance correction parameters and the geometric compensation parameters, training the structure model through a genetic algorithm to generate a digital twin reference model; inputting the material performance correction parameters and the geometric compensation parameters into the digital twin reference model, performing multi-scale finite element analysis, and outputting a multi-scale node performance evaluation report; identifying a multi-scale node performance influence factor and a sensitive area by adopting a response surface method, outputting a design parameter sensitivity analysis result, and converting the multi-scale node performance influence factor into a preliminary node design scheme through a design parameter conversion algorithm; according to the method, the real-time accuracy of node design is remarkably improved through least square dynamic parameter correction.

The invention relates to a wind turbine airfoil profile parameterization design method based on physical constraint data driving, which comprises the following steps: constructing a physical information neural network model based on a Bezier curve, inputting geometric parameters of an airfoil profile according to a design requirement, and generating an initial airfoil profile meeting a physical constraint requirement; converting the initial airfoil into coordinate point data, inputting the coordinate point data into an aerodynamic performance analysis module, and calculating an aerodynamic performance index; establishing a deep reinforcement learning model, and optimizing the initial airfoil profile by using a reward function and taking an aerodynamic performance index as an optimization target; and carrying out aerodynamic performance evaluation on the newly generated airfoil profile through iterative optimization until the aerodynamic performance index of the airfoil profile reaches an optimization target or converges, and obtaining a new airfoil profile which meets design requirements and is excellent in aerodynamic performance. According to the method, the airfoil design efficiency and quality are effectively improved, the dependence on the experience of a designer is reduced, and an efficient and reliable technical approach is provided for the airfoil design of the wind turbine.

The invention relates to the technical field of automobile design, and particularly discloses an automobile wind resistance optimization design method based on a machine learning model, and the method comprises the steps: collecting data of different automobile types, and carrying out the cleaning and standardization processing; constructing a wind resistance prediction model, training the model by using the preprocessed data, and minimizing a prediction error by adjusting model parameters; key design variables are selected, the variation range of the key design variables is determined, and a parameterized model is constructed; selecting sample points in a design variable space, generating a corresponding geometric model, calculating a wind resistance coefficient and establishing a sample point database; dividing sample point data into a training set and a test set, optimizing a machine learning model, searching an optimal solution in combination with an optimization algorithm, and iteratively updating the model by increasing sample points until the precision requirement is met; an optimal design variable combination is determined, an optimized automobile geometric model is generated, CFD simulation verification is carried out, and a design scheme containing detailed parameters and optimization results is output.

The invention provides a design method and device of a metallurgical pipeline and a program product, path planning design of the metallurgical pipeline is carried out in a pre-constructed three-dimensional metallurgical factory scene, the three-dimensional metallurgical factory scene is constructed through an imported building structure model, and the three-dimensional metallurgical factory scene comprises arrangement information of equipment and structural members of a building. The design method comprises the following steps: S1, acquiring a starting point position, an end point position, a prohibited area, process parameters and constraint conditions of a metallurgical pipeline input by a user; and S2, according to the starting point position, the terminal point position, the forbidden area, the process parameters and the constraint conditions, performing path search in the three-dimensional metallurgical factory scene through a predetermined path planning algorithm and a pre-trained pipeline layout prediction model to obtain a metallurgical pipeline planning path. By means of the technical scheme, the design efficiency can be improved, the construction cost is reduced, and the building safety is ensured.

The invention discloses a digital modeling steel structure multi-dimensional collaborative optimization design method and system, belongs to the technical field of steel structure design, and aims to solve the problems that multi-dimensional comprehensive consideration and automatic optimization tools are lacked, and complex multi-objective optimization requirements are difficult to quickly respond. Comprising the steps of establishing a full-parameterized digital model containing construction process parameters and environmental protection indexes, constructing a multi-objective evaluation system of structural safety, economical efficiency, construction feasibility and environmental influence, performing automatic optimization by adopting an improved multi-objective evolutionary algorithm, selecting 10 groups of candidate schemes, generating a visual interface, supporting human-computer interaction decision, and generating an optimization report. According to the method, multi-dimensional collaborative optimization is realized by constructing a multi-target evaluation system of structural safety, economy, construction feasibility and environmental influence, construction process parameters and environmental protection indexes are integrated through the digital modeling unit, it is ensured that factors of all parties are comprehensively considered in design decision, and the design efficiency is remarkably improved.

The present application relates to a BIM-based hanging basket design method, computer device and computer-readable storage medium, wherein the design method comprises following steps: a parameter acquisition step; a hanging basket modularization step: decomposing structures of hanging baskets into a plurality of design modules; a selection step; a calculation step: calculating parameters of the design modules using a structural mechanics calculation method and / or a finite element calculation method; preliminary BIM model building step: building models of the design modules and a preliminary BIM model of the hanging basket; an optimization iteration step: converting the preliminary BIM model of the hanging basket into a finite element model for calculation, and feeding calculation results back to the preliminary BIM model for structural adjustment, repeatedly performing iterative calculations to obtain optimized hanging basket parameter data; final BIM model acquisition step: the BIM model of the hanging basket adjusted according to the optimized hanging basket parameter data is a final BIM model of the hanging basket. The design method enables autonomous calculation and design of the hanging basket with good versatility.

The invention discloses an aircraft layout inverse design method and system based on a conditional diffusion model, and relates to the technical field of aircraft design and deep learning. Down-sampling, coding, diffusion, denoising and decoding of an aircraft point cloud model are achieved through three main components of a hidden space codec, a diffusion generator and a condition encoder, and the aircraft point cloud three-dimensional model meeting specific aerodynamic performance and stealth performance can be rapidly generated according to input design requirements. Dependence on experience of designers is reduced, design efficiency is improved, cost is reduced, and innovative discovery of aircraft layout is promoted.

The invention belongs to the field of water pump runner blade design, and particularly relates to a centrifugal pump runner blade parameterization modeling and optimizing method and system.The method comprises the steps that firstly, a runner three-dimensional initial model is built according to parameters such as the inlet diameter and the outlet diameter of a runner in combination with a traditional unary theory design method; secondly, flow paths of an inlet, an outlet and front and rear cover plates of the section of a runner shaft are extracted, multiple streamlines on the runner blades are extracted at equal intervals, multiple control curves of the front and rear cover plates of the runner, blade bone lines, thickness and the like are expressed through a Bezier fitting line method, and a parameterized model of the runner blades is constructed; establishing a numerical model, and performing analog calculation to obtain multiple groups of runner external characteristics; and finally, performing iterative optimization in combination with a multi-target genetic algorithm to obtain an optimal solution. According to the method, the hydraulic optimization process of the rotating wheel is accelerated, and technical reference is provided for external characteristic optimization of the centrifugal pump.

The invention provides an intelligent costume design method fusing AI and CAD technologies, and belongs to the technical field of intelligent design, and the method comprises the steps: building a parameterized CAD engine based on NURBS curve modeling and a topological correlation algorithm; performing intelligent classification and component segmentation on the input sketch, and obtaining a matched parameterized model based on a parameterized CAD engine to generate a reusable component; matching and recommending a plurality of reusable components based on an AI technology to obtain a similar version, analyzing the sketch and the similar version, and recommending an optimal component combination scheme; a distributed collaborative design mechanism is constructed, when the same part of the combined sample clothes of the optimal part combination scheme modified by multiple persons is received, conflict points are automatically prompted through operation log comparison, version combination suggestions are provided, and a 3D sample clothes effect picture is output for a user to judge. The problems that traditional design is low in efficiency, prone to making mistakes and difficult to cooperate are solved, and technical support is provided for intelligent design innovation.

The invention belongs to the field of vehicle industry design, and discloses an electric bicycle form design method and system, electronic equipment and a storage medium, and the method comprises the steps: mining user emotion vocabularies through online comments, constructing an emotion lexicon in combination with an improved word frequency-inverse document frequency algorithm and a D-S evidence theory, and screening out key perceptual vocabularies; constructing a convolutional long-short-term memory neural network model optimized by a snake swarm algorithm to realize a mapping model between customer sensibility and product morphological characteristics; carrying out subjective and objective comprehensive evaluation on the design scheme in combination with an eye movement experiment and subjective evaluation so as to screen out an optimal design scheme; an optimal scheme is selected and input into a generative AI platform for multi-angle visual rendering, ergonomic modeling and aerodynamics simulation are assisted, and the structural feasibility and performance are verified. The method provides systematic technical support for emotional value improvement and design optimization of industrial products.

The invention relates to the technical field of laser cutting equipment, and discloses a laser cutting machine tool real-time design method based on digital twinning. The method comprises the following steps: acquiring real-time operation data from distributed sensor nodes, wherein the real-time operation data comprises design change historical records and laser cutting track information; in a digital twin fusion design mode, performing compensation check on a design change historical record to obtain a design attribute index, and determining a trajectory interaction period of a design object on a cutting path according to the design attribute index; processing path information is obtained, risk characteristics are analyzed, cutting node risk data are obtained, and the risk situation level is determined in combination with laser cutting track information; and according to the track interaction period and the risk situation level, a dynamic design blind area in the laser cutting design process is optimized and adjusted. According to the method, the real-time data technology and the digital twinning technology are fused, the real-time performance and accuracy of design can be improved, and dynamic changes of a complex processing environment can be coped with.

The invention relates to an air tightness detection tool and detection system integrated design method in the field of air tightness detection equipment, and the method comprises the steps: obtaining product form data, extracting shape, size and material information from a product three-dimensional model database, calculating the key points of the outer contour of a product through a geometric feature analysis algorithm, and calculating the shape, size and material information of the product; determining product form diversity parameters; a clamp, an inflation system and a sorting module are decomposed into independent functional units through a modular design structure algorithm, a standardized interface protocol is generated, and physical connection and data interaction modes among the modules are determined; and according to the final tool design parameters, a solid fixture is generated by adopting a three-dimensional printing technology, a robot is controlled through an automatic assembly algorithm to complete integration of the fixture, an inflation module and a sorting module, and an air tightness detection system which can be put into production is obtained.