1184 results about "Design technology" patented technology

The invention relates to the technical field of chip design, in particular to a system-on-chip design method and system and a medium. The method comprises the following steps that a chip design target and basic parameters are collected, a constraint condition set is generated through demand constraint analysis, the basic parameters of a system are subjected to parallel recombination, functional prototype data are generated, the functional prototype data are used for chip behavior design, functional unit groups are generated, a network architecture is reconstructed to form a functional module network, and the functional module network is used for chip behavior design. And carrying out clock domain mapping and competition compensation processing based on the network to obtain a function scheduling sequence, carrying out resource matrix remapping on the basic parameters according to the function scheduling sequence, generating hardware abstract data, carrying out chip layout simulation, and finally generating a simulation chip blueprint. According to the system-on-chip design method, the more efficient system-on-chip design method is achieved.

The invention belongs to the technical field of automobile structure design, and particularly relates to a small sample multi-target integrated optimization design method and system for an automobile body structure, and the method comprises the steps: building an automobile body structure parameterized model, defining design variables, and obtaining a design variable combination; obtaining vehicle body structure performance data by utilizing finite element simulation, and constructing an integrated learning agent model; vehicle body structure design variables are optimized through a multi-objective optimization algorithm, and a Pareto leading edge and a solution set are obtained; and circularly adding a proxy model training data set, and iterating the whole optimization process to a termination condition. The technical problems that in the prior art, simulation calculation is long in time consumption, a single machine learning model is insufficient in prediction precision, and the multi-objective optimization effect is not ideal are solved, and the small sample integration optimization design method of the multi-objective optimization algorithm including the adaptive integration model and the fusion multi-strategy is constructed. And the multi-objective optimization efficiency of the vehicle body structure can be effectively improved.

The invention belongs to the technical field of aviation energy design, and particularly provides an aviation energy power device fault intelligent inquiry system and method based on a knowledge graph. The method comprises the following steps: firstly, showing a complex data structure and a knowledge relationship to a user in a visual and dynamic manner through knowledge extraction, knowledge graph database construction, knowledge graph visualization and other methods, and constructing a knowledge graph basic framework; according to the method, the depth information of the target object can be extracted from the images from different angles, the fault characteristics of the equipment can be intuitively displayed, and the fault state of the equipment can be visually represented by extracting the depth information of the target object from the images from different angles. The evolution of the equipment state can be tracked through the change of the three-dimensional space; a conversion algorithm of the knowledge graph and the Bayesian network is realized through the Bayesian network, and rapid reasoning of fault causes is realized in combination with a Bayesian network reasoning algorithm; and finally, based on an intelligent inquiry system of a large model, a deep learning technology and a large-scale training model are utilized, and previous fault data and professional knowledge of the aviation energy power device are combined to provide intelligent auxiliary diagnosis support.

The invention discloses a performance test and verification method, system and device for a multi-core heterogeneous chip and a medium, and the method comprises the steps: configuring a test parameter set according to a target application scene, the test parameter set comprising a processor core type recognition parameter, a communication topology weight parameter and a load balancing threshold parameter; generating a test case covering the heterogeneous computing core cooperative working mode; the method comprises the following steps: acquiring characteristic data during testing through a reconfigurable monitoring sub-module, wherein the characteristic data comprises inter-core communication delay information, shared cache hit rate information and power consumption distribution thermodynamic information; and performing quantitative analysis on the feature data through a multi-dimensional evaluation model to obtain a performance deviation index and an architecture optimization suggestion parameter. By optimizing the chip performance verification process under the multi-core heterogeneous architecture, the verification precision is effectively improved, and the chip performance verification method can be widely applied to the technical field of chip design.

The invention discloses an electromagnetic valve engineering design optimization method, and relates to the technical field of electromagnetic valve engineering design. According to the method, boundary condition parameters are clearly designed by obtaining high-pressure fluid control demand data, and an optimization constraint condition set is established, so that the design accuracy is ensured. Designing parameters are converted into optimization variables through gene coding, a fitness function is constructed through a genetic algorithm, and a solution set is generated; in a particle swarm optimization stage, design parameters are initialized to be particles, a multi-objective optimization function is defined, and a fitness function solution set is gradually optimized by utilizing an inertia weight and a group optimal guide search direction. The performance of the electromagnetic valve is verified through finite element analysis and fluid dynamics simulation, whether the control requirement is met or not is analyzed, and design parameters are finely adjusted according to the simulation result. The problems that the electromagnetic valve is insufficient in performance and unreasonable in design in the high-pressure fluid control process are effectively solved.

The invention discloses an AI-based new product material design method and system, particularly relates to the technical field of image material design, and is used for solving the problem of low matching degree between material design and target audiences. According to the method, user behavior data are collected and cleaned, user emotional states are recognized in combination with emotion analysis, accurate user portraits are constructed, interests and preferences are extracted, personalized design versions are generated by using a generative adversarial network based on the user portraits, and design elements are optimized in combination with real-time user feedback and a reinforcement learning algorithm. A design version is evaluated through an A / B test and a dobby machine algorithm, an optimal version is selected for adjustment and optimization, a marketing copywriting is generated by using a natural language generation technology in combination with a user portrait and design elements, a design drawing is optimized through image processing and generative adversarial network, the size, hue and layout are automatically adjusted, the display effect of marketing materials is improved, and the marketing efficiency is improved. Design version evaluation and optimization are carried out based on real-time market feedback, and the marketing effect is improved.

The invention belongs to an aircraft wire harness design technology, and relates to a digital and automatic collaborative design simulation method for aircraft wire harnesses based on Capal and CATIA. According to the method, an existing boundary data model is utilized, electrical parts are installed on CATIA software, and wiring harness arrangement environment conditions are created; creating a three-dimensional wire harness model in the CATIA software; establishing a Capal graphic symbol library and a wire harness part library; creating an aircraft electrical wiring diagram on the Capital software by using the graphic symbol library and the wiring harness part library file; in combination with a CATIA three-dimensional wiring harness model, interactive design is carried out with flight Capital software, and an aircraft two-dimensional topological graph is formed; the sectional area of the wire harness is automatically calculated through CATIA software, and an aircraft simulation three-dimensional wire harness is formed; and combining the aircraft simulation three-dimensional wiring harness with the aircraft topological graph and the aircraft wiring harness two-dimensional graph design to form an aircraft two-dimensional wiring harness chart diagram. According to the invention, database management informatization, three-dimensional wiring harness design digitalization, two-dimensional electrical system principle design and three-dimensional electrical wiring harness model interaction design automation are realized.

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 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 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 energy balance flexible guide mechanism hinge rigidity design method based on machine learning, and relates to the technical field of energy balance design. Constructing a mechanism parameter library by taking the hinge thickness as a structural parameter; converting the three-dimensional modeling software design scheme into a three-dimensional model library; performing three-dimensional grid division and finite element analysis to establish a grid library; constructing a three-dimensional simulation result database through finite element simulation results; establishing a mapping relation between the structure parameters and the performance characteristics by utilizing a machine learning method, and taking the mapping relation as a parameter library of machine learning; optimizing the design scheme through a machine learning method; and flexible guide mechanism scheme libraries under different index systems are constructed, and the flexible guide mechanism hinge meeting the requirements is obtained. An optimal flexible guide mechanism hinge design scheme is predicted through a machine learning method, mechanical properties of a hinge three-dimensional model are simulated in combination with finite element analysis, experiment and calculation requirements are reduced, and design efficiency and economic benefits are improved.

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 a carbon fiber fuselage structure layering optimization design method and system, and relates to the technical field of material structure intelligent design, and the method comprises the steps: importing a three-dimensional CAD model of a fuselage structure, collecting physical field input parameters, integrating and generating a digital engineering package, and carrying out the temperature field calculation through a thermal coupling solver based on the digital engineering package, the method comprises the following steps: acquiring temperature distribution of a fuselage, mapping the temperature distribution of the fuselage into a thermal stress field through a thermoelastic constitutive equation, performing vector superposition on the thermal stress field and a mechanical load to generate a comprehensive stress cloud picture, starting asymmetric layering design for a high-stress region based on the comprehensive stress cloud picture, and verifying mechanical balance of layering angle combination through a balance optimization algorithm. And obtaining a layering optimization scheme. The thermal deformation sensitivity is accurately evaluated by using the thermal-mechanical coupling solver and the finite element disturbance analysis method, and thermal deformation can be effectively predicted and controlled, so that the dimensional stability and the surface quality of a final product are 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 provides an aerodynamic task processing method and device based on multiple agents, and relates to the technical field of aircraft simulation design, and the method comprises the steps: obtaining a task target and working condition parameters inputted by a user; based on the capability of each agent group in the multi-agent system, generating a plurality of sub-tasks based on the task target; distributing the plurality of sub-tasks to corresponding agent groups in the multi-agent system for task processing to obtain a calculation result corresponding to the task target; the multi-agent system comprises a first agent group, a second agent group and a third agent group. According to the multi-agent-based aerodynamic task processing method and device provided by the invention, the role of a person in a traditional CFD normal form is replaced by the agents, automatic execution of the whole process of the CFD task is realized, and the processing efficiency of the aerodynamic task is 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 relates to the technical field of interface interaction design, in particular to a GUI page element layout and typesetting optimization method and system based on artificial intelligence. The technical problems that a traditional GUI design mode is insufficient in GUI design flexibility, high in dynamic layout technical threshold, high in manual typesetting cost, limited in experience and unreasonable in resource allocation are solved. According to the technical scheme, the GUI page element layout and typesetting optimization system based on artificial intelligence comprises a natural language processing module, a context sensing module, an intelligent agent module, an interactive feedback optimization module and a cross-device adaptability module. Through the natural language processing technology, the user can describe the demand through the natural language, the system automatically identifies the natural language instruction, the layout and typesetting of the page elements are automatically completed by using the large language model and the intelligent agent, the GUI design efficiency is improved, the personalized display of the user interface is realized, and the user experience is improved.

The invention discloses a personalized customized vi design method and system, and relates to the technical field of visual identification design, the design method comprises the following specific steps: S100, data acquisition: docking with an enterprise internal management system to obtain core data, using a web crawler tool to collect Internet related information, and using the web crawler tool to store the core data; according to the method, data in multiple aspects of industry attributes, brand positioning and color preference of target audiences of an enterprise are deeply analyzed by utilizing an artificial intelligence technology, highly intelligent color analysis and recommendation are realized, and the color matching degree of the industry, the color preference of the target audiences and multiple dimensions of color coordination correction factors are comprehensively considered. According to the method, the color scheme meeting the enterprise image and the market demand can be accurately recommended to the user, the intelligent color recommendation not only improves the design efficiency, but also ensures that the color scheme is highly matched with the enterprise positioning and audience preference, and the visual impact and brand recognition degree of the design are enhanced.

The invention discloses a machine learning assisted flexible hinge finite element design method, and relates to the technical field of flexible hinge design. Constructing a structure parameter library of the flexible hinge; converting the structure parameter library into a three-dimensional model library through three-dimensional modeling; performing simulation analysis on the three-dimensional model in different working environments, and constructing a corresponding grid library; a three-dimensional simulation database of the flexible hinge is generated by using simulation software; establishing a structure parameter and performance characteristic parameter library by utilizing a machine learning method; optimizing the design scheme through a machine learning method; and predicting design parameters based on machine learning, and performing flexible hinge performance characteristic prediction and scheme optimization. A machine learning method is adopted to predict an optimal design scheme of the flexible hinge, finite element analysis software is combined to simulate mechanical properties of a three-dimensional model of the flexible hinge, and a performance evaluation index is verified through a finite element experiment, so that the experiment cost is reduced, the design efficiency is improved, and expensive experiments and heavy calculation requirements are avoided.

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 design method of an automobile panel mold, which relates to the technical field of mold design, and comprises the following steps: applying a load condition and a boundary condition to a three-dimensional model of the mold to obtain a working condition data report, optimizing the three-dimensional model of the mold based on the working condition data report, creating a digital twin model at the same time, and building a virtual production environment. The construction of the virtual production environment enables an engineer to carry out various simulation and debugging operations under the condition of not interfering actual production, discover potential problems in advance and carry out optimization. And more importantly, the real-time monitoring and remote maintenance functions are used, so that the running state of the production line can be mastered at any time, the forming parameters of the mold can be adjusted in time, and the stability and high efficiency of the production process are ensured. Intelligent management of the whole life cycle of the mold is achieved through the digital twinning technology, and the production efficiency and the product quality are remarkably improved.

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 provides a method and a device for generating testability design scripts, electronic equipment and a storage medium, and belongs to the technical field of testability design, the method comprises the following steps: determining a test technology of a to-be-tested target according to test technology indication information in to-be-tested demand parameters; according to the test technology of the to-be-tested target and to-be-tested target information in the to-be-tested demand parameters, script design information is determined; and according to the script design information, generating an automatic script file for testing the to-be-tested target. The test script for the chip hardware circuit can be automatically generated.

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 relates to the technical field of model design, in particular to a quality control method applied to hardware fitting three-dimensional model design. The method comprises the following steps that a hardware fitting three-dimensional design model is obtained; performing process sensitivity integration evaluation based on the hardware fitting three-dimensional design model to obtain fitting process sensitivity feature data; constructing an accessory process knowledge database based on the accessory process sensitive feature data; performing elastic deformation simulation on the hardware fitting based on the fitting process knowledge database to obtain hardware fitting deformation trajectory data; performing dynamic interference risk assessment and real-time verification based on the hardware fitting deformation trajectory data to obtain a fitting physical interference prediction result; and constructing an accessory process constraint rule based on the accessory process knowledge database. According to the method, seamless conversion from a three-dimensional model to an actual product can be ensured.

The invention relates to the technical field of die design, in particular to a method for acquiring a die surface deformation compensation value of a stamping die. The method comprises the specific steps that S1, a press table top deformation measuring system is adopted, and the deformation amount of a press under a certain load is collected; s2, establishing a simulation model of a measurement system by adopting Hypermesh software, and obtaining a simplified substitution model of a press table board and a sliding block by combining the collected experimental data through size optimization; s3, cleaning and grid division are conducted on the geometric structure of the mold, and accessory structures which do not affect the strength are removed; s4, combining the simplified model with the die grid model, adding load and constraint of a press machine, and performing stamping simulation; and S5, generating a die surface deformation contour map according to a simulation result, and obtaining a die surface deformation compensation value. Compared with the prior art, by combining a high-precision measurement technology and numerical simulation analysis, technical support can be provided for design and manufacturing of the stamping die, and progress and development of the die industry are 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.