11 results about "Uniform design" patented technology

An equipment system optimization method driven by deep reinforcement learning comprises the following steps: sequentially constructing an equipment system architecture model and a combat scene simulation model based on a DoDAF framework, then carrying out parameter space sampling in the equipment system architecture model by using a uniform design method, and according to capability items and equipment elements defined by the equipment system architecture model, carrying out parameter space sampling on the equipment system architecture model; constructing a combat effectiveness evaluation model and a system cost evaluation model for evaluating the system; constructing a parameter-modulated deep reinforcement learning (PM-DRL) model to explicitly embed system parameters into an agent state space, and performing data collection and evaluation through the trained PM-DRL model to obtain lt; system parameter-evaluation result gt; a data set; and finally, constructing an optimization model by taking the agent model as a target function, and determining an optimal solution, namely system parameter configuration, by combining the solved Pareto frontier with the preference of a decision maker. According to the method, under the same combat effectiveness requirement, system parameter configuration with lower construction cost can be obtained through optimization.

The present application relates to a kind of multi-band adaptation PDN cross-level optimization method, system, equipment and medium, method is by to the joint parameterization processing of the designable parameter of chip, package and board level, generates uniform design vector;A multi-objective optimization function set containing wide-band impedance performance, cost and area is constructed;Through sampling and simulation, training data is generated, and deep neural network proxy model is trained to quickly predict design performance;The proxy model is used to drive multi-objective evolutionary algorithm, and the best trade-off solution set, i.e. Pareto frontier, of performance, cost and area is automatically searched;High-fidelity verification is carried out on the frontier solution, and the final design scheme is selected according to the actual constraint.The method realizes the change from manual trial and error to automatic optimization, effectively solves the problems of insufficient wide-band impedance control, difficulty in automatic trade-off of multi-objective and cross-level design fragmentation in the prior art, and significantly improves the efficiency and effect of PDN design.

The invention discloses a reservoir optimization scheduling method based on uniform design, relates to the technical field of water conservancy projects, and aims to solve the problem that an existing reservoir scheduling method may generate an inaccurate or low-efficiency scheduling result when facing a complex hydrological environment and multi-target demands.The reservoir optimization scheduling method comprises the following steps that S1, basic data of a reservoir are collected, and the basic data are stored in a database; comprise historical hydrological data, real-time hydrological data, reservoir characteristic parameters and flood control requirements, abnormal values are removed through data cleaning, data of different dimensions are uniformly converted into a [0, 1] interval by adopting a standardization method, and a high-quality data basis is provided for subsequent analysis; s2, determining the decision variables of the drainage flow, the reservoir level and the scheduling time period according to the drainage scheduling scene in the feasible region of each variable; the method has the advantages of maximizing the utilization efficiency of water resources, improving the scheduling capability of the reservoir and reducing the waste of the water resources through the uniformly designed optimal scheduling method.

A wheel hub (1), in particular for a utility vehicle, comprising mounting structures (4) for a brake disc (2), the mounting structures (4) being of non-uniform design with respect to one another and the wheel hub (1) being rotatable about an axis of rotation (A).

The invention discloses a rapid manufacturing method of a medium-sized figure sculpture pattern, and relates to the technical field of sculpture manufacturing. According to the method, a three-dimensional initial model is generated by adopting multi-modal input, parameterization constraint and AI self-iteration, and the problem of proportion imbalance of AI modeling is solved; a three-dimensional standard model is optimized through layering carving, traditional stroke mapping and physical simulation, digital carving and handwork art texture are achieved, a partitioning scheme is designed in a unified mode, and through matching of mechanical positioning, elastic buffering and data association interfaces, the partitioning machining and splicing precision is ensured; and the overall manufacturing is completed through CNC carving, composite gypsum rollover, 3D printing and AR splicing subsequently. According to the method, the problems of low manufacturing efficiency, detail loss, insufficient artistic texture and poor assembly precision in the prior art are solved, the manufacturing period is shortened by 60% or above, the detail reduction degree is larger than or equal to 98%, the model compressive strength is improved by 87%, the assembly error is smaller than or equal to 0.08 mm, and the method is suitable for manufacturing various figure sculptures with the requirements for the artistic effect and the production efficiency.

The embodiment of the present disclosure provides a sports uniform pattern intelligent grading method using a neural network and a computing device, and relates to the technical field of computer-aided design of sports uniforms. Embodiments are disclosed for realizing intelligent grading of sports uniform patterns and text on multi-size cutting pieces through cooperation of multiple neural networks. The method comprises: receiving input, the input comprising an initial design of a sports uniform and a multi-source rule set; processing the multi-source rule set through a rule reasoning neural network, automatically deciding based on rule priority and current design context in the case of multi-rule conflict, and outputting unified design constraints; through a geometry and visual optimization neural network, performing visual equivalent scaling, deformation and optical compensation on the pattern and text based on the initial design, the unified design constraints and the producibility process constraints, and generating a multi-size optimization design scheme; through a consistency correction neural network, automatically detecting, correcting and checking the consistency of the design scheme, and outputting a piece production file.

The invention discloses an application program generation method and device, a medium, electronic equipment and a program product, and relates to the technical field of computers.The method comprises the steps that a first user request used for indicating generation of an application program is determined, a first design product used for assisting in generation of the application program is determined, and the first design product used for assisting in generation of the application program is determined; the first design product is selected from historical design products, the historical design products are design products used when source codes corresponding to historical application programs are generated, then based on the first design product and the first user request, a second design product of the application programs is generated, and based on the second design product, the source codes corresponding to the application programs are generated. According to the method, the historical design products can be reused, the utilization rate of the design products is increased, and uniform design styles among the generated application programs can be guaranteed.

The invention provides an AI-oriented CAD design tool application system and a design method thereof. The system comprises a user system, an application subsystem and a domain model, the user system is provided with a unified CAD design command request interface layer, and the unified CAD design command request interface layer is compatible with four interaction modes of graphical interaction, API secondary development, script automation and AI natural language processing; the application subsystem comprises a design process management module and a design data management module; the design process management module is responsible for scheduling the whole design process; the design data management module is responsible for full-life-cycle management of design data; the domain model is used for defining the classification and relation of design data, storing domain knowledge and providing a data structure for design data storage and exchange. According to the method, long-term stable operation of the CAD tool can be guaranteed through a dependency inversion design; the interface layer is requested to be compatible with four interaction modes through a unified CAD design command, the intelligent requirement of a designer is met, and the design efficiency is improved.

The invention relates to a method for automatically structuring the content of technical documents, wherein a specific design guideline is created by a computer-aided process based on existing documentation and company-specific specifications. Parameters of technical documents that provide information on process- and / or product-specific characteristics are used to create the design guideline, and this information is utilized by a self-learning unit in conjunction with existing prior art to create a uniform design guideline.

This application relates to the field of computer-aided structural design technology, and particularly to a structural design method for a titanium rod filter backwash distributor and a titanium rod filter. The method includes: obtaining at least one structural direction data for the backwash distributor based on prototype structural data and target filtration operating condition data; obtaining segmented structural parameter design data based on each structural direction data; adjusting the design parameters of each flow channel segment of the backwash distributor according to the flow channel arrangement and the corresponding segmented structural design data, resulting in multiple structural schemes; and selecting the structural scheme corresponding to the structural performance data that meets preset requirements as the final design scheme. The method provided by this application can solve the problem that when a uniformly designed distributor is applied to a specific operating condition, the resulting distributor exhibits poor backwash uniformity and fails to meet backwash requirements.

The invention relates to a unified design method for geometric parameters of various arm levers of a spacecraft deployable structure, and the method comprises the steps: optimizing design parameters into statistical parameters, building a function relationship between geometric parameters and physical parameters, and designing an arm lever structure meeting the homogeneity requirement; under the condition that physical environment constraint conditions are met, the method can be suitable for various types of parameters; through a derivative function and extreme value judgment method, design parameters can be reduced to the greatest extent, and furthermore, the specification of an arm lever structure product in an existing platform can be compressed by 40%, production and test tools can be combined by 55%, and the test expenditure is reduced by more than 30%.