9 results about "Design strategy" patented technology

The application discloses a centrifugal pump impeller design method, which comprises the following steps: initial parameter determination; parameterized geometric modeling, wherein the profile lines of the front cover plate and the rear cover plate of the impeller are constructed based on a cubic spline curve, and a blade surface model is generated by controlling point coordinates, a curvature radius and an inlet and outlet angle parameter; manufacturing process coupling design, wherein three-dimensional modeling software is used for parameterized modeling of the impeller, and a cutter kinematics equation of a five-axis machine tool is synchronously introduced; CFD numerical simulation analysis; construction of an artificial neural network; and compound shape reverse optimization. The application solves a three-dimensional RANS equation in a rotating column coordinate system to perform CFD verification, and combines the design strategy of the artificial neural network and the compound shape optimization algorithm to quickly and optimally select an optimal impeller model. The design of the impeller is based on the cubic spline curve to construct an impeller geometric model, and the generative machining technology of the five-axis numerical control machine tool is combined to realize deep cooperation of hydraulic design, three-dimensional modeling and manufacturing process.

The invention discloses a self-test case defect complementing method and device based on a large model, and electronic equipment, and relates to the field of financial science and technology, the method comprises the following steps: comparing a self-test case with a necessary input field set and a necessary design strategy set in a case rule base through a feature matching algorithm, obtaining a missing case field and a missing design strategy scene of the self-test case; the missing case field and the missing design strategy scene are assembled to a missing supplement request, the missing supplement request is sent to the financial case large model, and a missing scene case is generated through the financial case large model; and receiving a missing scene case returned by the financial case large model, and assembling the missing scene case into the self-test case by using the template framework to obtain a complemented self-test case and case element prompt information. According to the method and the device, the technical problem that the use satisfaction of a user is influenced due to obvious defects of the self-test case caused by lack of automatic identification and test steps of the self-test case developed in the related technology is solved.

The application discloses an intelligent design method based on a thinking chain and brand DNA constraint, and comprises the following steps: design strategy proposal; constructing a "demand-logic-visual" thinking chain; brand DNA constraint; AIGC design scheme output; gestalt adaptive layout; scheme output and landing production. The application utilizes a thinking chain model combined with a multi-modal artificial intelligence algorithm to realize accurate conversion from fuzzy design requirements to structured design strategies, significantly shortens the creative deduction cycle, and improves the accuracy of design logic and the demand fit degree. The system of the application has high production flexibility and can quickly generate visual schemes suitable for different media scales, marketing nodes and theme contents based on parameterized constraints, effectively meeting the design requirements in diversified scenarios.

The invention discloses a centrifugal pump impeller design method. The method comprises the steps that initial parameters are determined; parametric geometric modeling is carried out, molded lines of a front cover plate and a rear cover plate of the impeller are constructed based on a cubic spline curve, and a blade curved surface model is generated through control point coordinates, curvature radiuses and inlet and outlet angle parameters; manufacturing process coupling design is carried out, three-dimensional modeling software is used for impeller parameterization modeling, and a tool kinematics equation of a five-axis machine tool is synchronously introduced; performing CFD numerical simulation analysis; constructing an artificial neural network; and performing compound reverse optimization. According to the method, CFD verification is carried out by solving a three-dimensional RANS equation under a rotating cylindrical coordinate system, an optimal impeller model is quickly optimized in cooperation with a design strategy combining an artificial neural network and a complex optimization algorithm, an impeller geometric model is constructed on the basis of a cubic spline curve in the design of an impeller, and a generation type machining technology of a five-axis numerical control machine tool is combined. And deep collaboration of hydraulic design, three-dimensional modeling and a manufacturing process is realized.

This invention discloses a product design strategy generation method based on environmental feature extraction, belonging to the field of intelligent product design technology. The steps are as follows: constructing a multimodal dataset containing ambient sound, scene images, and odor data; extracting root mean square energy, zero-crossing rate, spectral centroid, and spectral flux features from the ambient sound; extracting explicit visual features from the scene images and implicit style features through an improved Swin-Transformer model; extracting intensity, pleasantness, and familiarity features from the odor data; performing semantic mapping through Mamdani fuzzy inference to generate a design guidance parameter vector, including sensory stimulation, morphological simplicity, emotional affinity, technological feel, interaction rhythm, stability, sense of security, and environmental integration; and generating a product design strategy based on this vector. This invention automatically transforms environmental perception into a product design strategy, improving the objectivity and efficiency of design decisions.

The invention relates to the technical field of reinforcement learning, and discloses a sports store data-based costume design dynamic adjustment strategy generation method and system, and the method comprises the steps: carrying out the format standardization processing of the real-time sales data, historical sales data and commodity information data of a market sports store, and obtaining a multi-source integrated data set of the market sports store; performing label mapping on the multi-source integrated data set based on a consumer portrait label system to obtain a label mapping data set of the multi-source integrated data set; carrying out attribute aggregation on the label mapping data set to obtain a commodity dynamic portrait of the market competitive store; performing popularity ranking on the real-time sales data in the multi-source integrated data set to obtain a sales trend index set and a commodity popularity sequence of the market competitive store; according to the method, the effectiveness and reliability of data processing can be improved, a high-quality data foundation is laid for subsequent design strategy analysis, and the long-term market competitiveness and self-adaptive ability of a design strategy are improved.

An automatic design optimization method for an assembly line workstation decoding algorithm based on LLM belongs to the technical field of intelligent manufacturing system optimization and computer intelligence cross, and automatically generates a high-performance decoding algorithm for solving a parallel mixed flow assembly line balance problem by constructing a self-evolution algorithm design framework. The method is integrated into an upper-layer genetic algorithm of a double-layer optimization algorithm based on reinforcement learning assistance, a traditional normal form depending on manual design is thoroughly changed, and the solving efficiency and quality of the parallel assembly line balance problem are remarkably improved; meanwhile, the self-evolution mechanism enables the decoding algorithm to have the continuous improvement capability, the design strategy can be automatically adjusted according to different problem characteristics, the adaptability and robustness of the algorithm are improved, and therefore the efficiency and quality of production line planning are remarkably improved.

The application provides an optimization design method and system for foundation pit support based on BIM, and belongs to the field of foundation pit support design. The method comprises the following steps: constructing a BIM foundation pit support model, obtaining a plurality of BIM free structure units and surface attribute parameters of each BIM free structure unit; collecting pollution monitoring data samples, analyzing support resistance indexes, and obtaining support resistance index calculation results; obtaining an identification optimization design strategy for the maximum support resistance index of each BIM free structure unit, generating a plurality of identification optimization design strategies, and optimizing the BIM foundation pit support model. The application solves the technical problem that the existing BIM-based foundation pit support design lacks targeted optimization adjustment after model construction, resulting in insufficient adaptability of the support structure, and achieves the technical effect of optimizing and adjusting the BIM foundation pit support model through support resistance index analysis, and improving the adaptability and reliability of the foundation pit support structure.