756 results about "Design technology" patented technology

The invention relates to the technical field of section design, and discloses a shipyard steel bent frame column and beam section design simulation method and system. The method comprises the following steps: classifying and storing the historical data of the shipyard steel bent, establishing an experience library and extracting initial section parameters; inputting a parametric modeling system to generate a geometric model and a load condition; obtaining an internal force envelope value based on finite element analysis; obtaining a stress ratio and a displacement ratio according to standard combination and checking calculation; using an NSGA-II algorithm to optimize section parameters; and modeling and marking based on an optimization result, and generating a structure optimization scheme and a design drawing. The problems that in the prior art, preliminary section type selection of a steel bent frame structure lacks system optimization, a large amount of manual adjustment is needed in the design process, the overall design efficiency is low, and the material utilization rate is low are effectively solved, and automatic, refined and multi-target comprehensive optimization of steel bent frame column and beam section design is achieved.

The invention discloses a high-precision static aeroelastic model optimization design method based on a model correction technology, and relates to the technical field of aircraft design, and the method comprises the following steps: S1, firstly constructing an initial model, and carrying out statics pre-analysis to verify integrity; s2, executing SOL 101 statics analysis based on the initial model and outputting a physical field result; s3, carrying out consistency analysis in combination with test data and generating a correction decision; s4, screening high-priority correction parameters through local or global sensitivity analysis; s5, correcting model parameters by adopting a mixed algorithm of a gradient method and an agent model, and verifying precision and generalization ability; s6, the corrected model is output as a Nastran file and a reduced-order model in a standardized mode, and a parameter change log is recorded; s7, executing static aeroelastic coupling and flutter analysis, and feeding back a result to drive optimization iteration; s8, constructing a multidisciplinary coupling optimization model in combination with aeroelastic and flutter results to realize collaborative optimization; and S9, finally performing engineering standardization packaging on the optimization model and outputting a verification report.

The invention relates to the technical field of form design, in particular to a business form design method based on a visual component. The method comprises the following steps: constructing a multi-type component resource pool in a business form design system, and presetting a standardized configuration parameter set for each component; realizing a component dragging interaction mechanism on the visual design interface, and generating initial layout data at the same time; constructing a component configuration context environment based on the initial layout data, and generating intermediate state form definition data; an index data association mechanism is achieved in the intermediate state form definition data, mapping binding is conducted on the intermediate state form definition data and form components, and a form data structure containing data flow direction definition is generated; and constructing a cross-platform rendering adaptation engine based on the form data structure to automatically generate a form rendering code so as to realize a form design real-time preview system, and providing an interactive debugging tool set for verifying the functional integrity of the form. According to the invention, efficient design and flexible deployment of the business form can be realized.

The invention discloses an AI-based building design scene automatic intelligent generation method and system, and relates to the technical field of building design, accurate basic data is provided for subsequent design by constructing a building related data set H, then a three-dimensional space model of an ancient building is generated by using 3D modeling and image recognition technologies, and the three-dimensional space model of the ancient building is obtained. According to the method, the to-be-repaired model area is marked, the recognition accuracy of the to-be-repaired model area is improved, in material suitability analysis, the building repair material is selected according to the material suitability score CL, the material compatibility and the repair effect are ensured, a first ancient building repair design scheme is obtained according to the AI model, meanwhile, finite element analysis is conducted, and the recognition accuracy of the to-be-repaired model area is improved. According to the method, it is ensured that the repaired historic building can bear loads and keep stability, finally, through target function optimization and simulation, an optimal historic building repair design scheme is output, a repair plan is executed, high efficiency and accuracy of the historic building repair process are ensured, and the repair quality of the historic building is improved.

The invention discloses an optimization design method for improving the environmental performance of a building site, and relates to the technical field of site design. The method comprises the following steps: S1, collecting and preprocessing basic information of a building site; s2, building a multi-dimensional digital model of the building site; s3, site environment performance simulation and index quantification are carried out; s4, environment performance parameters are intelligently optimized; s5, verifying and finally determining an optimization scheme; and S6, optimizing effect tracking and dynamic adjustment. According to the method, adjustable variables of a building candidate model serve as genes, binary crossover and polynomial variation are simulated through iteration of 100-200 sets of initial populations, and a multivariable combination space is automatically traversed; according to the method, planning specifications and a cost threshold value are converted into algorithm constraints, it is ensured that an output scheme is compliant and economical, 3-5 groups of non-inferior solution schemes are screened out in 3-5 rounds of iteration, standardized values of environmental performance parameters after optimization are all larger than or equal to 0.7, local optimum is avoided, and optimization efficiency and scheme comprehensiveness are greatly improved.

The invention relates to a visual component management method and system based on support of multi-user collaboration, and belongs to the technical field of computer software collaborative design. Wherein multi-party editing requests are received and verified through a cooperative access mechanism, structured component data are constructed by using a component modeling model, concurrent control and a difference buffer are adopted to coordinate parallel modification, write conflicts are identified and processed based on a conflict detection algorithm, and traceable management of component versions is realized through a snapshot generation model. According to the method, efficient, consistent and conflict-controllable unified management of the visual components in a multi-person online cooperation scene is realized, and the cooperation efficiency of component development and the system reliability are effectively improved.

The invention discloses a wing design optimization method based on agent-assisted multi-initial-point simulated annealing, and belongs to the technical field of optimization design. Comprising the steps of 1, initializing algorithm parameters and a training data set; 2, constructing an agent model; 3, executing multi-initial-point parallel simulated annealing, and generating a batch of candidate new solution sets; 4, executing a double-elite active learning strategy based on the new solution set, screening the most potential sample to carry out real evaluation, and updating the agent model; 5, cooling the temperature and reducing the step length; 6, judging whether the cumulative evaluation times of the expensive objective function reach the set maximum evaluation times or not; if not, returning to the step 2; if yes, optimization is stopped; and finally, traversing the training data set, and selecting a sample point with the minimum real objective function value as a global optimal solution. According to the method, a multi-initial-point parallel simulated annealing search mechanism and a double-elite active learning strategy are combined, and the global optimal solution is quickly approached under the limited simulation times.

The invention provides a method and a system for automatically checking and correcting a PCB (Printed Circuit Board) design rule, belonging to the technical field of PCB design. The method comprises the following steps of: analyzing data such as texts, images and tables in a PCB design document through a multi-modal large model, extracting a structured signal information table, automatically generating a dynamically adaptive checking rule, and automatically checking and correcting the PCB design rule. Comprising bit width check, connectivity verification and functional analysis. And the generated rule is optimized by combining a retrieval enhancement generation (RAG) technology with a verification rule base, so that the coverage is comprehensive and the accuracy is high. The system further evaluates the rule through a form verification tool, automatically corrects potential defects, and improves the quality and adaptability of the rule. According to the method, the efficiency and accuracy of PCB design inspection are remarkably improved, the manual intervention requirement is reduced, the method can be widely applied to complex electronic design scenes, and the rapid changing technology and market requirements are met.

The invention discloses a combustion chamber and turbine guider integrated composite flow channel outlet flow field uniformity evaluation method, and belongs to the technical field of gas turbine pneumatic design. The method comprises the steps that a geometric model of a combustion chamber and turbine guider integrated composite flow channel is built, a combustion chamber function section and a guider pneumatic section are fused through integral pneumatic modeling to form a continuous flow channel, a front section adopts a diffusion structure to form a low-speed combustion area, and a rear section adopts a gradually-shrinking channel to achieve gas accelerated expansion; performing three-dimensional cold-state flow field numerical simulation by adopting a structured grid division and delay separation vortex simulation technology; flow parameters including total pressure, Mach number, airflow angle and vorticity are extracted from the cross section of a flow channel outlet, conversion from a Cartesian coordinate system to a polar coordinate system is carried out, and a uniformly distributed aerodynamic parameter field is reconstructed by using an interpolation algorithm; the directional coupling degree is calculated based on the spatial correlation of the pressure gradient vector and the vorticity vector, and the vortex-pressure coupling entropy production index representing the overall aerodynamic loss of the flow channel is established in combination with the pressure pulsation intensity and the vorticity concentration ratio. According to the method, a three-dimensional evaluation system is constructed by integrating circumferential and radial non-uniformity and entropy production parameters, and accurate quantitative evaluation of flow characteristics and uniformity of the combustion chamber and turbine integrated structure is realized.

The invention discloses a complex system comprehensive multi-view consistency detection method based on a large model, and relates to the technical field of information system architecture design. The method comprises the steps that N view models to be detected are determined, and a rule base is constructed and formed; forming a triple set; performing rule retrieval on the triple set to obtain a corresponding rule subset; and constructing a complete prompt statement according to the prompt template and the rule subset, and reasoning the prompt statement by the large language model to obtain a consistency detection result. Based on the MBSE method, the ability of understanding, reasoning and applying knowledge in the field of system architecture and system engineering is remarkably improved, the automation degree, accuracy and robustness of multi-view consistency detection are improved, and the correctness, completeness and consistency of complex information system architecture design are guaranteed.

The invention relates to a PCB component type selection method and system based on a knowledge graph and intelligent retrieval. Relates to the technical field of PCB design, and the method integrates knowledge in multiple aspects of performance parameters, packaging forms, supplier information and the like of components by constructing a PCB component knowledge graph, and establishes semantic association among the knowledge. And performing intelligent retrieval in the knowledge graph by using an information retrieval algorithm based on design requirements and constraint conditions input by a user, and quickly and accurately screening out components meeting requirements. Meanwhile, the multi-mode large model is combined to carry out comprehensive evaluation on the components, factors such as cost and supply stability are considered, optimal component type selection suggestions are provided for users, the efficiency and accuracy of component type selection in PCB design are improved, the cost is reduced, and intelligent development in the field of PCB design of electronic products is promoted.

The invention discloses a BIM / CIM-based engineering design whole-process auxiliary decision-making method, relates to the technical field of engineering design, and discloses a BIM / CIM-based engineering design whole-process auxiliary decision-making method, which comprises the following steps: responding to a project red line range, obtaining geographic space data, and carrying out preprocessing, model reconstruction and lightweight processing on the geographic space data to obtain a project red line range; generating a macroscopic current situation scene; obtaining at least two candidate schemes, and performing spatial registration and fusion on the BIM models corresponding to the candidate schemes and the macroscopic current situation scene to generate a corresponding fusion decision scene; based on the fusion decision-making scene, carrying out collaborative decision-making on the candidate schemes, and determining a bid-winning scheme; and packaging the BIM model corresponding to the bid winning scheme and associated data, and transmitting the packaged BIM model and associated data to a downstream construction management system through an interface. The scheme collaborative decision-making efficiency is effectively improved, the information fault problem in the design and construction stages is solved, and the whole-process decision-making closed loop of the engineering project is achieved.

The invention relates to the technical field of software engineering design, in particular to a downloading method, a communication system, equipment, a readable medium and a program product. According to the method, application description information and an application entity are published to a server of a region where a specified service place is located at the publishing stage of resources such as an application program, and the application description information is also published to servers of a plurality of regions synchronously at the same time. Therefore, when a user searches resources such as an application program through an application market and the like of the user equipment, the user equipment can search the application description information published on each regional server without barriers, and provides an application search result for the user based on the searched application description information. Moreover, the user equipment can further switch a use place to a service place correspondingly published by the searched application, and obtains related application entity resources for installation and use. In this way, the user experience of searching and downloading applications in the application market can be improved.

The invention discloses an FPGA efficient accelerator design method and system based on a sparse convolution kernel, and relates to the technical field of accelerator design. Comprising the steps of optimizing sparse weight storage and management, designing a sparse convolution kernel storage structure and adopting a data organization scheme oriented to output channel optimization; designing a sparse convolution kernel index and scheduling mode, including dynamic row coordinate index storage and an intelligent dynamic scheduling mechanism; and constructing a sparse convolutional layer, wherein the sparse convolutional layer comprises an output channel serial computing architecture and an optimized MAC module. Through collaborative optimization of weight pruning and convolution kernel pruning, an efficient storage mechanism based on a non-zero weight and coordinates thereof is established, the storage requirement is remarkably reduced, and the calculation efficiency is improved; a serial / parallel configurable calculation mode of an output channel is designed, and the time division multiplexing technology of a single MAC module is combined, so that efficient utilization of FPGA logic resources is realized.

The invention relates to the technical field of heat exchanger flow channel form design, and discloses an intelligent optimization method and system for heat exchanger flow channel form design based on multi-source data, and the method comprises the steps: obtaining flow channel form data, and carrying out the iterative optimization to generate various layout candidates; turbulence effect simulation is carried out on the candidate schemes to obtain thermal performance indexes; performing multi-target evaluation and comprehensive ranking under a complex working condition, and selecting an optimal design scheme; analyzing the balance state of the heat transfer efficiency and the fluid resistance, and extracting form adjustment parameters; combining processing feasibility standard comparison, and screening to obtain a feasible layout subset; backtracking thermal performance and analyzing and manufacturing constraint fusion consistency to form an adjustment parameter set for verification; and finally, machining and performance matching are confirmed through simulation iteration, and diversified runner layouts suitable for complex working conditions are obtained. The method can solve the problem that the thermal performance and the manufacturing process constraint are difficult to consider in the runner design.

The invention provides an aircraft assembly instruction construction method, and relates to the technical field of aircraft process design. According to the method, semantic association of process knowledge is realized through the knowledge graph, and the problems of low efficiency and consistency of traditional manual compilation are solved; according to the product manufacturing information extraction method based on the component object model technology and parameterization analysis, manual intervention is reduced, and the automation level of information extraction is improved; in combination with a graph neural network and a user feedback mechanism, dynamic optimization of the knowledge base is supported, and integrity and accuracy of the knowledge base are ensured; a visual interface and a manual correction function are provided, automatic generation and experience of technicians are balanced, and practicability and operability of instructions are ensured.

The invention discloses an advertisement information flow management method and platform applied to multivariate visual design, and belongs to the technical field of advertisement design, and the method specifically comprises the steps: dividing a screen interface into dynamic grid regions, and carrying out the comprehensive calculation based on user interaction behaviors and content semantic features, mapping the dynamic grid region into a semantic gravitational field representing user attention distribution; generating an initial advertisement container in a low-gravitational area at the edge of the screen, driving the container to migrate to a high-gravitational area according to the intensity gradient distribution of the semantic gravitational field, performing path optimization in the migration process, and dynamically adjusting the form of the container according to the visual density of a matched target area; dynamically adjusting the parameters of the advertisement container according to the semantic features of the native content of the target area and the real-time interaction behavior of the user; the cognitive load of the user is evaluated in real time according to the interaction behavior of the user on the surface of the advertisement container, information level folding is triggered when cognitive overload is detected, and secondary information or all information of the advertisement is dynamically hidden.

The invention relates to the technical field of layout design, and particularly provides a PCB layout design verification method, system and device and a medium, and the method comprises the steps: extracting a design intention from a design demand text through a natural language processing technology; querying design constraint parameters from a pre-constructed knowledge graph based on the design intention; generating a dynamic verification rule according to the design constraint parameter; and verifying the design parameters in the PCB layout by using a rule engine and applying the dynamic verification rule, and outputting a verification result. According to the invention, the verification efficiency is improved, and the rework rate caused by constraint deficiency is reduced.

The invention belongs to the technical field of underwater propeller design, and discloses an annular propeller modeling and hydrodynamic performance evaluation method and system. The method comprises the following steps: defining a distribution rule of blade parameters along a wheelbase based on a segmented cubic Hermite interpolation method, and realizing parametric modeling; automatically generating a propeller three-dimensional geometric model and a flow field computational domain; carrying out discretization processing on the rotating domain and the outer watershed by adopting a hybrid grid technology; hydrodynamic performance data are obtained through numerical simulation calculation, and thrust, torque and efficiency coefficients are obtained through processing; and completing multi-working-condition performance calculation and drawing an open water curve by automatically and cyclically updating a speed coefficient, and finally storing design variables and performance response data into a database. According to the method, full-process automation from modeling, grid division, simulation calculation to post-processing is achieved, the efficiency of annular propeller design and hydrodynamic performance analysis is remarkably improved, and the labor cost and the time cost are greatly reduced.

The invention relates to the technical field of mining engineering and geotechnical engineering support design, and discloses a roadway anchor rod group support parameter intelligent optimization method based on unbalanced force, and the method comprises the steps: building a surrounding rock finite element model, calculating a plastic stress increment through employing a minimum plastic complementary energy principle, and mapping the plastic stress increment into a node unbalanced force vector; an unbalanced force field reflecting reinforcement requirements is constructed, and an initial scheme is generated according to the unbalanced force field. Then, a virtual anchor rod unit is introduced to establish a nonlinear coupling model, an incremental balance equation is solved, and whether the unbalanced force is smaller than a threshold value or not is judged; if so, outputting an optimal parameter; otherwise, a comprehensive objective function containing safety and economy is constructed, new parameters are obtained through searching and decoding by means of the particle swarm algorithm, and the virtual anchor rod unit is re-entered for calculation to form a closed loop until convergence is achieved. According to the method, intelligent optimization is driven through a physical mechanism, the problem that a traditional design lacks a mechanical basis is solved, and accurate optimization of support parameters is achieved.

The invention relates to the technical field of digital art design. According to the digital art design assisting method and system based on artificial intelligence, the method comprises the steps that multi-dimensional feature extraction processing is conducted on generated art works, and a comprehensive feature matrix is generated; performing quantitative evaluation processing through a dynamic weighted scoring model to generate a comprehensive score of the current work; performing clustering grouping processing through a diversity protection mechanism to generate a representative work set; performing diversity index calculation processing on the representative work set to generate diversity index data; performing element extraction processing through a historical recall mechanism to generate a fusible creation element set; performing fusion creation processing through a genetic algorithm to generate a mixed creation scheme; and carrying out feedback evaluation processing on the mixed creation scheme to generate system optimization parameters so as to achieve the technical effects of improving the dynamic adaptability of work value evaluation, reducing the creation homogenization risk and improving the fusion creation efficiency.

In various embodiments, a room-based design application automatically generates a design for a floor structure of a building. In operation, the room-based design application generates blocks representing portions of the floor structure that are delineated by walls based on a room plan included in a computer-aided design of the building. The room-based design application modifies the blocks based on a spanning length to generate partitions. Each partition represents a different portion of the floor structure that can be spanned by a structural element that has the spanning length in at least one direction. Based on the partitions, the room-based design application determines wall classifications for the walls. The room-based design application generates at least a portion of the design for the floor structure based on the wall classifications and the partitions.

The invention discloses a power supply modular design method and system, and relates to the technical field of computer-aided process design, and the method comprises the steps: receiving power supply design parameters, carrying out the feature coding through a three-layer neural network, generating an initial design vector, and constructing an SNN decision rule base according to the initial design vector; performing parameter evolution on the SNN decision rule base through a pulse frequency mapping function and a dynamic current adjustment function to generate a collaborative decision packet, and injecting a noise suppression factor into the collaborative decision packet to generate a noise immune decision packet; and constructing an electromagnetic field distribution model, inputting the noise immune decision packet into the electromagnetic field distribution model to calculate the electromagnetic coupling strength of the pulse signal, and comparing the electromagnetic coupling strength with a preset strength threshold to generate an electromagnetic isolation enhancement decision packet. According to the invention, through neural network feature coding and a full-closed-loop parameter transmission mechanism, lossless conversion and dynamic response from power supply design parameters to manufacturing instructions can be realized.

The invention relates to the technical field of computer aided design, in particular to a BIM family library construction method and system for tile construction parameters, and the method comprises the following steps: dividing a two-dimensional paving region into discrete grid units based on the geometric shape and obstacle coordinates of a to-be-paved region input by a user, and distributing a unique position identifier for each grid unit; according to the method, discrete grid division is carried out in the two-dimensional paving area according to the geometrical shape and the obstacle coordinate, and the unique position identifier is distributed, so that the original abstract paving area can be converted into a rasterized paving map capable of being positioned and analyzed; and binding probability distribution characteristic values of ceramic tile sizes, material unit prices, labor efficiency and material loss rates with the grids to realize a visual corresponding relationship between construction environment parameters and spatial positions. In the path generation process, through iterative calculation from the starting grid to the ending grid and total cost minimization selection, the construction sequence and time prediction are more accurate.

The invention relates to the technical field of computer aided design, and discloses a multi-source data fusion CAD drawing method and system based on deep learning. The invention discloses a multi-source data fusion CAD drawing method based on deep learning. Intelligent fusion processing of a building CAD base map, laser point cloud data and a high-definition video stream is realized through multi-source space-time reference alignment, reflection adaptive point cloud enhancement, cross-modal feature fusion, progressive vector generation, engineering constraint optimization and navigation output. Performing point cloud splicing by adopting an ICP (Inductively Coupled Plasma) algorithm, establishing a spatial corresponding relation by using a Zhang Zhengyou calibration method, extracting multi-modal features through a deep learning network, and realizing cross-modal feature fusion by utilizing an attention mechanism; and finally, a high-precision vector map conforming to engineering specifications is generated and is suitable for automatic generation of a large-scale parking lot navigation map. According to the method, the drawing efficiency and precision are improved, the labor cost is reduced, and the method has good engineering application value.

The invention relates to the technical field of art product design, in particular to an Internet-based art product design system. The system comprises a material acquisition management unit which obtains art product materials from a material platform through an internet interface protocol and generates a standardized material package; the semantic drive design generation unit converts user input into structured scene data based on a cross-modal semantic analysis technology, and constructs a semantic mapping matrix and an element confidence distribution mechanism to match the structured scene data with the standardized material package; the collaborative version fusion unit monitors and solves multi-version conflicts by using a timestamp consistency branch merging algorithm, and generates final art product work data; the cross-platform publishing rendering unit carries out adaptation processing on the final art product work data according to the requirements of the target publishing platform; according to the method, generation and release of an art product scene are realized in combination with a high-precision scene generation and timestamp consistency branch merging algorithm driven by cross-modal semantic analysis.

The invention relates to the technical field of aero-engine aerodynamic optimization and computer aided design, and discloses a response surface modeling-based aero-engine low-pressure turbine blade leading edge model numerical optimization design method and structure. According to the method, the wake injection angle is changed by adjusting the flow or the rotating speed of a rotor, accurate matching of Klebanoff stripes and large-scale vortex generation opportunities is achieved, stripe impact is promoted, and large-scale vortex fracture is accelerated; and meanwhile, by constructing a blade front edge modeling parameterization model and establishing a response surface agent model of a modeling design variable parameter combination and a boundary layer velocity mean square error, an optimal design variable parameter combination is determined in a constraint domain by taking maximization of the velocity mean square error in a boundary layer as a target. On the premise that the blade profile load is not changed, the momentum thickness and the total pressure loss of the boundary layer are effectively reduced, the design efficiency and the engineering applicability under the working condition of the low Reynolds number are improved, an additional flow control structure does not need to be introduced, and the structure is simple and easy to implement.

The invention belongs to the technical field of building design, and particularly relates to a BIM-based building complex special-shaped component processing method and system, and the method comprises the steps: directly converting a three-dimensional structure model into a topological structure adaptive to acoustic analysis, and integrating a sound field simulation and feedback optimization mechanism into a unified BIM platform. Accurate prediction and dynamic optimization of the acoustic performance of the special-shaped component from the initial stage of design are realized; according to the method, the design efficiency and accuracy are greatly improved, human errors are reduced, potential acoustic problems such as a reverberation abnormal area can be accurately recognized and relieved, and the component form is adjusted through iteration until the preset acoustic standard is met; besides, cooperation among multiple disciplines is promoted, decision support capability based on quantitative data is enhanced, so that overall quality and user satisfaction of a project are improved, cost and time consumption of later modification are remarkably reduced, and the method has important engineering application value.

The invention relates to the technical field of chip design, in particular to a method for obtaining the highest utilization rate of an operator, electronic equipment and a storage medium, the method comprises the following steps: through an experimental kernel function of the operator, the experimental kernel function only comprises reading instructions and a synchronization instruction, and K null instructions are inserted between the adjacent reading instructions; dynamically adjusting the value of K in the experimental kernel function according to a sequence from large to small, and actually executing and testing the adjusted experimental kernel function on GPU hardware; analyzing the change trend of the actual reading time obtained in each test along with the K value, obtaining an inflection point of the actual reading time which is obtained in the last test and is equal to the theoretical reading time to be greater than the theoretical reading time, and ending the test; acquiring a plurality of candidate tests for continuously reducing the K value before the inflection point; the calculation utilization rates of the calculation instructions corresponding to all the candidate tests are obtained, the maximum value in all the calculation utilization rates is determined as the highest utilization rate of the operator, and the purpose of accurately calculating the highest utilization rate of the memory access intensive operator is achieved.

The invention discloses an airflow organization optimization design system and method based on a clean room tuyere, and relates to the technical field of clean room tuyere design, the system comprises a digital twin model construction module, a real-time data acquisition module, a problem identification module, a parameter simulation optimization module and a pre-debugging scheme output module; according to the method, the digital twin model of the clean room is constructed through computer-aided design and linked with real-time operation data, conversion of airflow organization optimization from static design to dynamic response is achieved, the problem that in the prior art, an optimization scheme is disjointed with an actual operation scene is solved, and by automatically recognizing problematic tuyeres and simulating and optimizing a parameter adjustment scheme, the optimization efficiency is improved. Traditional blind debugging depending on manual experience is replaced, repeated trial and error are avoided, the debugging accuracy and efficiency are improved, stable maintenance of cleanliness indexes of the clean room is guaranteed, meanwhile, the influence of the debugging process on the production progress is reduced, and powerful support is provided for efficient and reliable operation of the clean room.